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    Research on Clustering Routing Algorithms in Wireless Sensor Networks

    Qing Bian ; Yan Zhang ; Yanjuan Zhao
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

    Volume: 2
    DOI: 10.1109/ICICTA.2010.343
    Publication Year: 2010 , Page(s): 1110 - 1113
    Cited by:  Papers (4)

    IEEE Conference Publications

    Compared with the traditional wireless networks, wireless sensor networks have energy constraints, low-data-rate of high redundant and data flow of high-to-one, and so on. Energy effectiveness is the key performance indicators of wireless sensor networks. Based on the analysis of energy management strategy in the wireless sensor networks, the main factors affecting energy consumption are: perceptual data, data processing and radio communications, the radio communication is the main part of energy consumption. In the wireless sensor networks, the realization of energy-efficiency could be improved while in the different layers of communication protocol stack. However, as the basis of the limitations of the physical layer, the improvement is focus on design and implementation of network-layer protocol. The researchers agreed that the clustering of nodes in wireless sensor networks is an effective program of energy conservation. This article dedicated to research the clustering routing algorithm in wireless sensor networks. View full abstract»

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    A fully integrated CMOS RF front-end with on-chip VCO for WCDMA applications

    Kyoohyun Lim ; Chan-Hong Park ; Hyung Ki Ahn ; Jae Joon Kim ; Beomsup Kim
    Solid-State Circuits Conference, 2001. Digest of Technical Papers. ISSCC. 2001 IEEE International

    DOI: 10.1109/ISSCC.2001.912640
    Publication Year: 2001 , Page(s): 286 - 287
    Cited by:  Papers (4)  |  Patents (1)

    IEEE Conference Publications

    Increasing demand on the broadband data transmission via mobile phones drives standards for the third generation cellular phones. Both wide-band CDMA (WCDMA) and CDMA2000 compliant cellular phones make possible full-bandwidth Internet access. A high level of integration is necessary because of low power and low cost requirements, making CMOS implementation attractive. In the WDMA RF receiver, sensitivity, single-tone desensitization, and intermodulation rejection are the key performance indicators and should be minimized by controlling the parameters such as noise figure (NF), input-referred 3/sup rd/-order intercept (IIP3), gain distributions, and voltage-controlled oscillator (VCO) phase noise. Because of the high data rate supported by the WCDMA standard, more stringent control over the parameters is required. An on-chip VCO is helpful, because it eliminates I/O buffers and reduces substrate noise injection and power consumption. View full abstract»

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    Integration of Communication Security into Advanced Simulation Environments for ITS

    Lobach, S. ; Radusch, I.
    Vehicular Technology Conference (VTC Fall), 2011 IEEE

    DOI: 10.1109/VETECF.2011.6093159
    Publication Year: 2011 , Page(s): 1 - 6

    IEEE Conference Publications

    VANETs employ cryptographic measures - like signing and verifying messages - to ensure security and trust in vehicle-2-x communication (V2X) applications. Before deployment those V2X applications need to be validated and assessed in simulations and field operational tests. While usual key performance indicators cover network layers from PHY to networking as well as traffic efficiency and safety benefits assessing and validating the network security has not been widely addressed. We therefore present a comprehensive security simulator Agez that allows us to measure the impacts of the network and application security utilized in state-of-the-art vehicle-2-x communication stacks. We present how Agez can be integrated in available simulation environments and how novel security mechanisms can be easily assessed. View full abstract»

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    Multigoal Heuristic Model Predictive Control Technique Applied to a Cascaded H-bridge StatCom

    Townsend, C.D. ; Summers, T.J. ; Betz, R.E.
    Power Electronics, IEEE Transactions on

    Volume: 27 , Issue: 3
    DOI: 10.1109/TPEL.2011.2165854
    Publication Year: 2012 , Page(s): 1191 - 1200
    Cited by:  Papers (16)

    IEEE Journals & Magazines

    A multilevel H-bridge StatCom inherently contains redundancy in the available switching states. This paper develops a variation on the typical model predictive control scheme which is able to exploit this redundancy to simultaneously balance the H-bridge capacitor voltages, provide excellent current reference tracking, and minimize converter switching losses. The scheme consists of a dead-beat current controller that has been integrated with heuristic models of the voltage balancing and switching loss characteristics. The integration of a pulsewidth modulation scheme is also described. Simulation and experimental results are presented that confirm the correct operation of the control and modulation strategies. Comparison with traditional control and modulation schemes is provided in terms of the key performance indicators associated with multilevel H-bridge StatComs. View full abstract»

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    Base Station Placement Based on Force Fields

    Richter, F. ; Fettweis, G.
    Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th

    DOI: 10.1109/VETECS.2012.6240328
    Publication Year: 2012 , Page(s): 1 - 5
    Cited by:  Papers (2)

    IEEE Conference Publications

    Network planning and optimization becomes more and more important in cellular mobile communications due to the growing complexity of the networks. Besides taking new key performance indicators into account such as energy efficiency, the augmented heterogeneity, caused by a variety of radio access technologies (e.g., 3G and beyond as well as WiFi) and network node types (e.g., micro and femto cells), leads to an exploding dimension of the planning process. On the other hand, the degrees of freedom increase as well, giving rise for new optimization techniques. In this paper a novel approach for optimizing cellular deployments is presented. The model is based on characterizing the interrelations (among base stations and between base stations and the environment) by force fields, motivated by the physics of multiple particles in a closed system. Further, an algorithm is proposed which tracks the trajectory of base station locations under the presence of forces, focusing on finding a balanced state with minimal net force. Also, it is elaborated on how to combine different force types in order to capture different quality aspects of a network. View full abstract»

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    Training artificial neural networks for short-term electricity price forecasting

    Chogumaira, E.N. ; Hiyama, T.
    Transmission & Distribution Conference & Exposition: Asia and Pacific, 2009

    DOI: 10.1109/TD-ASIA.2009.5356986
    Publication Year: 2009 , Page(s): 1 - 4

    IEEE Conference Publications

    This paper present a comparative study of training approaches for artificial neural network (ANN) used in forecasting short-term wholesale electricity prices. High probability of volatility in wholesale electricity prices and trends that are generally non-uniform create challenges when forecasting future prices using simple backpropagation feedforward ANN. A number of ANN architectures and training methods have been proposed for a variety of applications, and here we consider three approaches with actual electricity price data. The architectures considered in this study are: the well known feedforward and Elman networks trained with backpropagation, which are compared to feedforward network trained with genetic algorithm. Avoidance of local minima and minimization of computational cost are key performance indicators in ANN training. Number of training iterations needed to achieve target error and the generalization ability are used to compare the methods. This investigation is meant to guide in selecting ANN training method for electricity price forecasting. View full abstract»

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    Specification and delivery of quality indicators in IP packet eXchange networks

    Skomersic, M. ; Matijasevic, M. ; Gojmerac, I.
    Globecom Workshops (GC Wkshps), 2014

    DOI: 10.1109/GLOCOMW.2014.7063501
    Publication Year: 2014 , Page(s): 618 - 623

    IEEE Conference Publications

    Mobile and fixed network operators, as well as Internet service providers, are increasingly using IP packet eXchange (IPX) for IP interconnection, but more pervasive adoption of IPX is hindered by the reality of highly competitive market relationships. In the IPX market, the network topology and quality characteristics within each IPX provider's domain are considered a trade secret, and the terms for interconnection are traditionally specified through fairly rigid service level agreements. This paper addresses the challenge of enabling more flexible, end-to-end, service- and quality-aware IPX provider (IPXP) agreements, while obviating the need for disclosing actual measured values for the relevant quality of service (QoS) parameters and key performance indicators (KPIs). A concept under investigation is outlined, based on two ideas: 1) a centralized facility to measure, collect, process, and exchange end-to-end network quality parameters in a trusted manner, while not revealing the QoS/KPIs referring to individual IPXPs in the service delivery chain; and 2) a new service-aware metric, called Network Quality Indicator (NQI), which is derived from the actual measured QoS/KPI values on a given end-to-end path, for a given service (e.g, messaging, video, voice) transported through the IPX domain. Standardizing NQIs and their use has the potential to facilitate adoption of IPX networks as a regular interconnection model. View full abstract»

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    Research progress on a modular tool for better leveraging energy impacts and savings of and by ICT service

    Schinella, Sebastien ; Marquet, Didier ; Chavanne, Xavier
    Telecommunications Energy Conference 'Smart Power and Efficiency' (INTELEC), Proceedings of 2013 35th International

    Publication Year: 2013 , Page(s): 1 - 6

    VDE Conference Publications

    In 2008, Orange Labs has contributed to the ITU-T Focus Group ?????????ICT and Climate Change?????????, in particular with a methodology to assess thoroughly the energy consumption by ICTs services and to determine the technical quantities on which they depend. [1] In IEEE/Telescon 2009 [2], Orange Labs presented its first element of research, which gives more leverage to reduce the energy impact of ICT service and to increase saving by ICT in other sectors through dematerialization or substitution. The main interest of the method was to be more precise, to focus on service in order to complement the ISO 14040 Life Cycle Assessment method (LCA) and the ETSI and ITU-T standards adapted to ICT, and bring them a more systematic method reducing the common risk of huge errors on data and allocation. Progresses of the research work have been published in Genoa ETSI Workshop on Energy Efficiency [3], and ITU-T / IEEE kaleidoscope 2013 [4]. This last contribution showed a reduction of manufacturing impact, which implies that further studies on the service must focus more on the energy consumption in use phase giving more leverage possibility to operators or ICT service users. The developed method is based on a recognized method in energetic sector [5] and should be more reusable by its modularity. It consists in splitting the service in modules characterized by their ?????????local rate????????? of consumption which is the consumption per unit of characteristic flow of the module, and in linking them to the service with their ?????????weight????????? which contains the parameters of the consumption. A sensitivity analysis using a simulation tool developed on Scilab allows quantifying the influence of the main parameters. This paper presents the latest progress of the method with the solved issues from previous applications on a simple service. Some of the modules used in the energy impact model (consumption rate per unit of module operation and per unit of one global servi- e) and the identified issues seen in the manufacturing phase are presented. The leveraging power of the method will also be shown through the tool result for optimizing the energy key performance indicators. View full abstract»

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    Overcoming the Challenges of Implementating Six Sigma in Service Industries

    Abdolshah, M. ; Yusuff, R.M. ; Ismail, M. ; Tang Sai Hong
    Information Management and Engineering, 2009. ICIME '09. International Conference on

    DOI: 10.1109/ICIME.2009.120
    Publication Year: 2009 , Page(s): 191 - 195
    Cited by:  Papers (1)

    IEEE Conference Publications

    Six Sigma has been a powerful and successful tool in manufacturing industries to reduce rate of rejects and to enhance productivity. The service industries are diversified and the features are different from manufacturing industries. Thus, the use of Six Sigma in service industries and its benefits are limited to some specific types of services like health care and banks. This paper focuses on key performance indicators of Six Sigma and elements to cover a wider range of services. From the analysis of the service models, service industries structures and also by comparing between the features of service and manufacturing industries, the main challenges in application of Six Sigma in service industries can be identified. Further analysis of these challenges showed that the proper implementation of Six Sigma in service industries requires not only the effective operational strategies, but also customerspsila needs and satisfaction must be considered and designed into the implementation phase. The paper proposed that for the successful implementation of Six Sigma in service industry, instead of just DMAIC, a design phase should be included (DDMAIC). The main meaning of this new phase and its affection will be described. View full abstract»

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    ARIS MashZone KPI visualisation of simulated routing protocol operations for smart dust environments

    Hajdarevic, K. ; Civa, A.
    Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on

    Publication Year: 2013 , Page(s): 286 - 291

    IEEE Conference Publications

    Recent history showed that world needs more mobility, smaller mobile devices, and if possible mobile devices which have multiple sensors. Wireless ad-hoc sensor network technology in 1997 by K. Pister called Smart Dust is on implementation of mobile ad hoc network (MANET) and wireless sensor network (WSN) which might be a solution for future applications. Smart Dust is a network which contains tiny sensor nodes called motes which are able to, use sensors to collects data, to communicate with each other and transfer collected data. While Smart Dust components have relatively high price (WSN classroom Kit starts at 6000 $) commercially available, they are still not in wide usage as education assets at universities because of their price, and due to technology changes. In this paper are presented simulated operation performances of three wireless ad-hoc routing protocols: AODV, DSDV, and OLSR (using NS-3 simulator) which can be used for Smart Dust applications. We used previous research results to recreate similar results of simulated AODV, DSDV, and OLSR and we their Key Performance Indicators (KPI) them with Aris MashZone. Aris MashZone allows easy KPI interpretation and represents them in Dash board as soon as data become available by quick filter adjustments. View full abstract»

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    Intelligent techniques for business intelligence in healthcare

    Mach, M.A. ; Salem, I.A.-B.M.
    Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on

    DOI: 10.1109/ISDA.2010.5687209
    Publication Year: 2010 , Page(s): 545 - 550
    Cited by:  Papers (3)

    IEEE Conference Publications

    Business intelligence is a new methodology to maximize the benefits for healthcare organization Business intelligence provides an integrated view of data that can be used to monitor, key performance indicators, identify hidden patterns in diagnosis and identify variations in cost factors. Intelligent techniques provide an effective computational methods and robust environment for business intelligence in the healthcare domain. From the technical point of view, healthcare based business intelligence systems, are complex to build, maintain and face the knowledge-acquisition difficulty. Efficiency of such systems is determined by the efficiency of the intelligent techniques and methodologies. This paper discusses AI based techniques and approaches which are used in such systems namely; expert systems, data mining and grid computing. View full abstract»

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    Scientific methodology for Telecom services energy consumption and CO2 emission assessment including negative and positive impacts

    Marquet, Didier ; Aubree, Marc ; Frangi, Jean-Pierre ; Chavanne, Xavier
    Telecommunication - Energy Special Conference (TELESCON), 2009 4th International Conference on

    Publication Year: 2009 , Page(s): 1 - 14
    Cited by:  Papers (1)

    VDE Conference Publications

    The France Telecom operator is highly involved in environmental preservation and part of it, is the scientific studies of ICT impacts associated with an active contribution to standardization bodies, observatories, groups, fora and initiatives such as ETSI and ITU-T. This paper describes France Telecom and university common research work in this field and how it can help standardization works. All these methods will help to determine holistic negative impact of ICT, but also the positive impact by dematerialization in a realistic way. Then it is possible to calculate the balance and the so-wished gain by using ICT. The paper will also compare the different Key Performance Indicators that can be calculated by using the impact results such as ICT power consumption reduction, ICT gain on other sectors, ICT contribution to the effort on global consumption and CO2 reduction targets. Finally, the paper should not be complete without indicating some new paradoxes that need much more studies: intensity decrease may hide an absolute value increase, manufacturing optimization and green label may increase the global consumption, the sustainable development level can limit the absolute reduction. View full abstract»

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    Compression mechanism for multi-service switching networks with BPP traffic

    Glabowski, M. ; Sobieraj, M.
    Communication Systems Networks and Digital Signal Processing (CSNDSP), 2010 7th International Symposium on

    Publication Year: 2010 , Page(s): 816 - 821

    IEEE Conference Publications

    The paper proposes a compression mechanism for multi-stage switching networks with multi-rate BPP (Binomial-Poisson-Pascal) traffic streams. The effectiveness of the proposed mechanism is compared to previously studied Call Admission Control (CAC) mechanisms for multi-rate switching networks, i.e. bandwidth reservation mechanism and threshold mechanism. The paper investigates by means of simulation method the influence of the CAC mechanisms on the key performance indicators of multi-service switching networks. View full abstract»

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    COnsiderations for a wide-area power quality monitoring system

    Kingham, Brian
    Electricity Distribution - Part 1, 2009. CIRED 2009. 20th International Conference and Exhibition on

    Publication Year: 2009 , Page(s): 1 - 4

    IET Conference Publications

    Power quality monitoring has evolved from device-specific analysis of an event to system-wide benchmarking and reporting. Whether implementing power quality improvements for customer satisfaction or to comply with regulatory requirements, utilities need advanced software systems to reduce analysis time, ease reporting and demonstrate the return on investment. This paper describes the necessary components of a wide-area power quality analysis system including monitors, communication channels, data validation software, user interface needs and reporting features. Means of addressing potential pitfalls such as late- or missing-data, biasing statistical results due to planned outages and over-counting power quality events are presented. The system described allows for power quality benchmarking to industry standards such as EN50160 and trending of key performance indicators to show improvements over time. View full abstract»

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    Staff exchange teaching model for an offshore campus

    Murphy, A.J. ; Tam, I.C.K.
    Teaching, Assessment and Learning for Engineering (TALE), 2012 IEEE International Conference on

    DOI: 10.1109/TALE.2012.6360340
    Publication Year: 2012 , Page(s): H3A-1 - H3A-4

    IEEE Conference Publications

    In 2009 an offshore campus was set up in Singapore by the School of Marine Science and Technology, Newcastle University. Three maritime engineering programs are delivered successfully with approximately 80 students graduating annually. With recent addition of other schools and new staff members to offshore campus, a staff exchange teaching model is initiated by a specialist team of staff with objectives to enhance student experience and possibility of research project tie-ups between the two campuses. Key performance indicators of success will be results of assessment and student feedback as well as evaluation by education specialist at the end of project. View full abstract»

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    The IET Seminar on Medical Device Management More Than Maintenance


    Medical Device Management More Than Maintenance, The IET Seminar on

    Publication Year: 2007 , Page(s): c1

    IET Conference Publications

    The following topics were dealt with: medical devices and patient safety; clinical engineering in device management; equipment maintenance; quality systems and key performance indicators; medical device management systems; healthcare science career modernisation; medical device procurement; electrical safety testing; and risk management of medical devices. View full abstract»

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    A New Soft-Sensor-Based Process Monitoring Scheme Incorporating Infrequent KPI Measurements

    Shardt, Y.A.W. ; Hao, H. ; Ding, S.X.
    Industrial Electronics, IEEE Transactions on

    Volume: 62 , Issue: 6
    DOI: 10.1109/TIE.2014.2364561
    Publication Year: 2015 , Page(s): 3843 - 3851

    IEEE Journals & Magazines

    The development of advanced techniques for process monitoring and fault diagnosis using both model-based and data-driven approaches has led to many practical applications. One issue that has not been considered in such applications is the ability to deal with key performance indicators (KPIs) that are only sporadically measured and with significant time delay. Therefore, in this paper, the data-driven design of diagnostic-observer-based process monitoring schemes is extended to include the ability to detect changes given infrequently measured KPIs. The extended diagnostic observer is shown to be stable and hence able to converge to the true value. The proposed method is tested using both Monte Carlo simulations and the Tennessee-Eastman problem. It is shown that although time delay and sampling time increase the detection delay, the overall effect can be mitigated by using a soft sensor. Furthermore, it is shown that the results are not strongly dependent on the sampling time, but do depend on the time delay. Therefore, the proposed soft-sensor-based monitoring scheme can efficiently detect faults even in the absence of direct process information. View full abstract»

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    Higher Order Horizontal Sectorisation Gains For a Real 3GPP/HSPA+ Network

    Joyce, Robert ; Zhang, Li
    Wireless Conference (EW), Proceedings of the 2013 19th European

    Publication Year: 2013 , Page(s): 1 - 6

    VDE Conference Publications

    This paper presents results from extensive simulation and real world deployment of higher order horizontal sectorisation (3, 6, 9, 12 and 15 sectors) when applied to a 3G/HSPA+ network in order to determine the downlink capacity gains available from this technique. Simulation results are presented for homogenous networks based upon a 3GPP HSPA/LTE network model in order to find the theoretical downlink capacity gains from higher order horizontal sectorisation and the optimum horizontal antenna beamwidth to maximise capacity without significantly reducing coverage and other network Key Performance Indicators. Further simulations have also been performed to ascertain the potential gain seen for Telefonica UK??s Central London 3G/HSPA+ network and these results have also been verified using live network field results from the deployment of six sector sites into Telefonica UK??s 3G/HSPA+ network. All results suggest that the gain is very much dependent on traffic location, but simulations and results from live network deployment of higher order sectorisation do verify that in the densest traffic locations higher order sectorisation does indeed provide a significant downlink capacity gain. View full abstract»

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    Flow-level modelling of TCP traffic using GPS queueing networks

    Brun, O. ; Al Sheikh, A. ; Garcia, J.
    Teletraffic Congress, 2009. ITC 21 2009. 21st International

    Publication Year: 2009 , Page(s): 1 - 8

    IEEE Conference Publications

    We develop flow-level models of TCP/IP networks. We first consider access network models in a very general framework where Internet subscribers can use several types of TCP-based applications and may have limited peak rates. Using multiclass networks of Generalized Processor Sharing queues (in the sense of Cohen), we derive key performance indicators in closed-form. We then give arguments in favor of a weighted max-min fair (WMM) allocation, with flow weights depending both on the number of TCP connections and on the RTT of the flow, as an approximation of TCP bandwidth-sharing. Finally, we build upon the models developed for access networks to propose an approximate model for the global network, assuming WMM fairness as bandwidth-sharing paradigm. This global network model allows to account for backbone congestion by replacing access links by virtual links whose capacities are computed in order to reflect the probability of congestion on flow path. View full abstract»

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    Considerations for a wide-area power quality monitoring system

    Kingham, B.
    Electricity Distribution - Part 2, 2009. CIRED 2009. The 20th International Conference and Exhibition on

    Publication Year: 2009 , Page(s): 1

    IET Conference Publications

    Power quality monitoring has evolved from device-specific analysis of an event to system-wide benchmarking and reporting. Whether implementing power quality improvements for customer satisfaction or to comply with regulatory requirements, utilities need advanced software systems to reduce analysis time, ease reporting and demonstrate the return on investment. This paper describes the necessary components of a wide-area power quality analysis system including monitors, communication channels, data validation software, user interface needs and reporting features. Means of addressing potential pitfalls such as late- or missing-data, biasing statistical results due to planned outages and over-counting power quality events are presented. The system described allows for power quality benchmarking to industry standards such as EN50160 and trending of key performance indicators to show improvements over time. View full abstract»

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    Decision support system for polymerization production plant using pPIs

    Gasperin, M. ; Jovan, V. ; Gradisar, D.
    Control and Automation, 2008 16th Mediterranean Conference on

    DOI: 10.1109/MED.2008.4602130
    Publication Year: 2008 , Page(s): 547 - 551

    IEEE Conference Publications

    The synthesis of plant-wide control structures is recognized as one of the most important production- management design problems in the process industries. This article proposes a decision support system, utilizing key performance indicators (pPIs) as a possible solution to simplify this problem. pPIs represent the translation of operating objectives, such as the minimization of production costs, to a set of measurable variables that can then be used to help production manager to select the operating regime of the production line. The idea of decision support system at the production- management level using pPIs as referenced controlled variables was implemented on the procedural model of a production process for a polymerization plant. Preliminary results show the usefulness of the proposed methodology. View full abstract»

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    Field Measurement and Data Analysis Method for DVB-H Mobile Devices

    Penttinen, J.T.J.
    Digital Telecommunications, 2008. ICDT '08. The Third International Conference on

    DOI: 10.1109/ICDT.2008.30
    Publication Year: 2008 , Page(s): 146 - 151

    IEEE Conference Publications

    The field measurement equipment that provides reliable results is essential in the quality verification of DVB-H networks. In addition, sufficiently in-depth analysis of the post-processed data is important. This paper presents a method to collect and analyse the key performance indicators of the DVB-H radio interface, using a mobile device as a measurement and data collection equipment. View full abstract»

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    Using the Policy Control system as an auxiliary tool to improve the Service Assurance Process in Telecommunication Networks

    Lidstrom, M. ; Larsson, T. ; Kvernvik, T.
    Globecom Workshops, 2007 IEEE

    DOI: 10.1109/GLOCOMW.2007.4437796
    Publication Year: 2007 , Page(s): 1 - 5
    Cited by:  Patents (2)

    IEEE Conference Publications

    Telecommunication networks are shifting their role from networks optimized for circuit switched voice into IP-based multi service networks. Doing so enables the delivery of more feature-rich services, such as voice over IP (VoIP), streaming, push to talk (PoC) and mobile TV. Along with this change in network utilization, the infrastructure is also changing, to be able to deliver new and emerging services, as well as existing services, over different access technologies. These access technologies and services will require new tools and methods that are capable of monitoring operation in an efficient and automated manner. Service Assurance is especially important in this context and can be defined as a guarantee that services will be provided according to the expectations of the end-user. This paper shows how the policy control system can be used to enhance and automate the service assurance process without any major impacts on existing network architectures or functionalities. Information dynamically created in the policy control system is used to derive Key Performance Indicators for each media component in a service which are used to monitor and ensure the quality of the service. The benefits of using the policy control system compared to other methods (briefly described) are also explained. The process described in this paper follows the enhanced Telecom operations map (eTom) [1] guidelines for providing service assurance. View full abstract»

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    Applicative quality testing system software for IP-based services in mobile networks

    Janevski, T. ; Tudzarov, A. ; Efnushev, I. ; Latkoski, P. ; Porjazoski, M. ; Gjorgjiev, D.
    Software, Telecommunications and Computer Networks, 2007. SoftCOM 2007. 15th International Conference on

    DOI: 10.1109/SOFTCOM.2007.4446130
    Publication Year: 2007 , Page(s): 1 - 5

    IEEE Conference Publications

    Mobile operators nowadays have plenty of data services, since the introduction of GPRS and this number is increasing towards future 3G LTE mobile networks. There are IP-based services which were migrated from wired to mobile networks, such as HTTP, FTP and E-mail. But, also mobile specific services were created such as WAP and MMS. On the other side, behavior of mobile services is influenced from the environment, the terrain, interference, from protocols on different OSI layers, from user behavior, etc. Therefore, mobile operators need to examine their network and be assured that services are performing well. In this paper we describe an applicative solution for Service Quality Testing System (SQTS), which provides efficient way for testing of all data services, including bearer as well as IP-based services in mobile networks from the user point of view, through a defined set of Key Performance Indicators. We define all SQTS functionalities as well as all needed networks nodes for its functioning. The proposed system is robust and scalable regarding definition of new services that will appear in future. View full abstract»

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    Quality and price evaluation on the software market

    Nizovkina, N.G.
    Science and Technology, 2005. KORUS 2005. Proceedings. The 9th Russian-Korean International Symposium on

    DOI: 10.1109/KORUS.2005.1507937
    Publication Year: 2005 , Page(s): 926 - 928

    IEEE Conference Publications

    This paper is based on a research about the using of the conjoint measurement approach (CMA) for price evaluation on the software market. The author offers a software-pricing algorithm to use key performance indicators and model "balanced scorecard". View full abstract»

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    Dual-hop adaptive packet transmission systems with regenerative relaying

    Muller, A. ; Hong-Chuan Yang
    Wireless Communications, IEEE Transactions on

    Volume: 9 , Issue: 1
    DOI: 10.1109/TWC.2010.01.090132
    Publication Year: 2010 , Page(s): 234 - 244
    Cited by:  Papers (9)

    IEEE Journals & Magazines

    We propose and analyze two different approaches for performing adaptive modulation and coding (AMC) in dual-hop transmission systems, where a source node S communicates with a certain destination node D via an intermediate decode-and- forwarding relay station R. In this regard, we consider the most general case, where the AMC on the S-R and R-D links might be performed independently of each other, thus requiring a potential buffering of data packets at the relay station before they can be forwarded to the destination D. With our first approach, AMC is performed solely based on the instantaneous channel realizations, without considering the current buffer level at the relay station, what consequently might result in packet losses due to potential buffer overflows. Our second approach eliminates this problem by taking the current buffer level into account in the AMC transmission over the first hop and reducing the transmission rate accordingly if the buffer would overflow otherwise. Both schemes are analyzed analytically based on a finite-state Markov chain model of our system. Building upon this model, we derive analytical closed-form expressions for a variety of different key performance indicators, which are illustrated for various practical cases by means of selected numerical results. View full abstract»

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    Student Self-Motivation: Lessons Learned from Teaching First Year Computing

    Robey, M. ; von Konsky, B.R. ; Ivins, J. ; Gribble, S.J. ; Loh, A. ; Cooper, S.
    Frontiers in Education Conference, 36th Annual

    DOI: 10.1109/FIE.2006.322363
    Publication Year: 2006 , Page(s): 6 - 11

    IEEE Conference Publications

    This paper describes a study that profiled student participation in a CS1 course to identify key performance indicators and improve student learning experiences. Existing research has provided many novel teaching strategies while other research has produced findings that argue for stronger links between learning outcomes and teaching and assessment. Prior research generally used surveys as the principal mechanism for metric gathering. The study reported here used a survey instrument but additionally monitored lecture and tutorial attendance, web site access and email traffic as well as employing demographic data to examine students' learning experiences. The learning experience was improved by enhancing the student/teacher interaction in both the lectures and tutorials, mapping learning outcomes to both assessment and teaching and decoupling assessment from feedback. The results suggest that the major factor in determining whether a student passed or failed was self-motivation and willingness to engage in the range of learning activities provided for them View full abstract»

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    Conformance checking in healthcare based on partially ordered event data

    Xixi Lu ; Mans, R.S. ; Fahland, D. ; van der Aalst, W.M.P.
    Emerging Technology and Factory Automation (ETFA), 2014 IEEE

    DOI: 10.1109/ETFA.2014.7005060
    Publication Year: 2014 , Page(s): 1 - 8

    IEEE Conference Publications

    There is a continuous pressure to make healthcare processes more efficient and effective without sacrificing quality. Conformance checking can be used to improve processes by analyzing event data and directly relating observed behavior and modeled behavior. Conformance checking provides diagnostics that go far beyond measuring traditional key performance indicators. However, current conformance checking techniques focus on a rather simplistic setting where executions of process instances are sequential and homogeneous whereas healthcare processes are known to be dynamic, complex, and ad-hoc. In healthcare process instances of patients often follow a unique path through the process with one-of-a-kind deviations. Moreover, timestamps are often rather coarse (the date is known, but not the time) resulting in an unreliable ordering of events. As current techniques are unable to handle concurrent events, and the obtained sequential alignments are unable to provide structural information about deviations, the diagnostics provided are often insufficient and misleading. This paper presents a novel approach using partially ordered traces and partially ordered alignments which aims to incorporate unreliability and concurrency in the input while providing diagnostics about deviations that take causalities into account. The approach has been implemented in ProM and was evaluated using event data from a Dutch hospital. View full abstract»

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    Generic and integrated human factors guidance for air systems acquisition

    Hamilton, W.I. ; Rowbotham, H. ; David, R.
    People and Systems - Who Are We Designing For, 2005. The IEE and MOD HFI DTC Symposium on (Ref. No. 2005/11078)

    Publication Year: 2005 , Page(s): 1 - 8

    IET Conference Publications

    This paper reports on a project concerned with developing guidance on human factors integration for air systems projects. The concept of human factors integration in support of defence acquisition projects has been current for almost fifteen years. There are now many examples of the benefits of human factors integration, as well as the costs and risks associated with ignoring it. The purpose of this paper was to identify requirements for improved guidance on human factors integration that would ensure its consistent application across programmes. The work involved a survey of acquisition projects to identify user requirements and the development of Web based guidance material. The guidance is true to the established concept of human factors integration but offers a clearer strategy for integration with projects by stage of development, and defines key performance indicators criteria to assess the successful completion of human factors inputs to projects. View full abstract»

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    Trade-Off between Spectral and Energy Efficiencies in a Fading Communication Link

    Khakurel, S. ; Musavian, L. ; Tho Le-Ngoc
    Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th

    DOI: 10.1109/VTCSpring.2013.6692789
    Publication Year: 2013 , Page(s): 1 - 5
    Cited by:  Papers (1)

    IEEE Conference Publications

    Spectral efficiency (SE) is one of the key performance indicators of wireless communications, and energy efficiency (EE) is an urgent need to tackle the challenges raised by the high demands of wireless traffics and energy consumption. However, these two important design criteria conflict with each other and a careful study of their trade-off is mandatory for designing future wireless communication systems. In this paper, we introduce an optimization problem to maximize the ergodic SE of a point-to-point communication link with a constraint on its minimum ergodic EE. We prove that, at optimality, the constraint on minimum EE is met with equality, and use it to provide a closed-form expression for finding the optimal water-filling level in a Nakagami-m fading channel with integer values of m. We exploit this formulation to investigate the relationship between SE and EE as a function of circuit power, power amplifier (PA) efficiency and channel power gain. We observe that the SE and EE always contradict with each other, however, the trade-off curve is non-linear. The curve is steeper at the extremities as compared to the middle region. Hence, a small sacrifice in EE from its maximum value may map into a significant gain in SE. Our simulations show that this gain in SE is a decreasing function of the circuit power and channel power gain while an increasing function of the PA efficiency. View full abstract»

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    BMC: A modulating bar for copper electrowining designed for heavy duty and high reliability

    Wiechmann, E.P. ; Aqueveque, P.E. ; Henriquez, J. ; Munoz, L. ; Morales, A.
    Industry Applications Society Annual Meeting, 2013 IEEE

    DOI: 10.1109/IAS.2013.6682576
    Publication Year: 2013 , Page(s): 1 - 7

    IEEE Conference Publications

    This works presents the research, development and design of a BMC intercell bar for copper electrowining following heavy duty and high-reliability guidelines. As a result, the configuration ensures a low-maximum temperature with high-temperature rated connectors. These properties guarantee the hardness and integrity of the contacts and consequently its lifetime. Some key performance indicators include: control and balance of the cathodic current densities, short circuit protection and bypass of weak contacts. Further, it has the unique property of hot-swapability for replacing impaired connectors. Thus, the Availability of the intercell bar under typical electrowining operating conditions is ensured. View full abstract»

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    Congestion Avoidance mechanism in WLANs

    Papaoulakis, N.
    Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on

    DOI: 10.1109/PIMRC.2007.4394664
    Publication Year: 2007 , Page(s): 1 - 5

    IEEE Conference Publications

    Wireless LANs are continuously expanding not only in terms of coverage but also in terms of traffic and services. This tremendous growth is ought to the flexibility that IEEE 802.11 networks offer and also to the extremely low cost of those network's components. Primary, the WLANs were used for office or home applications, in order to provide a wireless extension of the already existent wired LANs, the well-known Ethernet IEEE 802.3. The main services that were carrying, were legacy IP services, like HTTP browsing, FTP and email. These services have specific quality of service (QoS) requirements. WLANs have well-tested MACs mechanisms in order to satisfy these requirements. The carrier sense multiple access/collision avoidance, the RTS/CTS and the Fragmentation mechanisms, were satisfactory features for the above services and requirements. Nowadays, we have WiFi devices with much wide capabilities, like as VoIP phones, wireless cameras for home surveillance and multimedia adapters/bridges that bring such broadband services to the end-user. Those new applications, introduce new traffic, schemes profiles and of course much more restricted QoS requirements. On the other hand, there are new challenges for the multimedia services, which are being served over real-time transport protocol (RTP). The new key performance indicators that arising, are the jitter and the delay of packet delivery. Without sophisticated QoS mechanisms, the existing version of the 802.11 standard doesn't optimize the transmission of voice and video. Thus, new requirements to provide guaranteed QoS in modern WLAN, bring to the foreground the need, for new WLAN MACs protocols, which are going to face up these challenges. View full abstract»

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    Centralized self-optimization of eICIC with varying traffic in LTE-A

    Khan, Yasir ; Sayrac, Berna ; Moulines, Eric
    European Wireless 2014; 20th European Wireless Conference; Proceedings of

    Publication Year: 2014 , Page(s): 1 - 6

    VDE Conference Publications

    Network Quality-of-Service (QoS) in terms of capacity can be brought about by enhanced Inter-Cell Interference Coordination (eICIC). eICIC techniques are gaining interest these days due to the ability to mitigate the interference at the cell-edge of the low power nodes (typically pico cells) by blocking sub-frame transmissions of the high power nodes (macro cells). In our previous work, we had proposed a novel technique for centralized self-optimization using an iterative surrogate management framework which involves the iterative use of: 1-a surrogate to model the functional relationship between the Network Parameters (NPs) and Key Performance Indicators (KPI) and 2- a subsequent use of a pattern search algorithm for eICIC optimization. The study assumed that the traffic was not varying in intensity over the optimization period. In this work we propose to introduce: 1- a time-varying traffic eICIC optimization scenario and 2- a new optimization algorithm based on the ??Expectation of Improvement?? criteria within the surrogate management framework. Results using a system level network simulator reveals the practicality of the proposed optimization approach for varying traffic and also demonstrates the superiority of the Expected Improvement algorithm in terms of incorporating the uncertainty of the noisy KPI observations during the optimization process. View full abstract»

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    Model Predictive Control of a cascaded H-bridge multi-level StatCom

    Townsend, C. ; Summers, T.J. ; Betz, R.E.
    Energy Conversion Congress and Exposition (ECCE), 2010 IEEE

    DOI: 10.1109/ECCE.2010.5618268
    Publication Year: 2010 , Page(s): 2133 - 2140
    Cited by:  Papers (2)

    IEEE Conference Publications

    A multi-level H-bridge StatCom inherently contains redundancy in the available switching states. This paper develops a Model Predictive Control (MPC) scheme which is able to exploit this redundancy to optimise three competing objectives. The scheme can simultaneously balance the H-bridge capacitor voltages, provide excellent current reference tracking and optimise converter switching losses. A variation in modulation scheme, consisting of a hybrid of traditional MPC and PWM strategies, is also described. Simulation and experimental results are presented that confirm the correct operation of the control and modulation strategies. Comparison with traditional control and modulation schemes is provided in terms of the key performance indicators associated with multi-level H-bridge StatComs. View full abstract»

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    Measurable Variables in Copper Electrowinning and Their Relevance to Predicting Process Performance

    Aqueveque, P.E. ; Wiechmann, E.P. ; Herrera, J. ; Pino, E.J.
    Industry Applications, IEEE Transactions on

    Volume: 51 , Issue: 3
    DOI: 10.1109/TIA.2014.2377298
    Publication Year: 2015 , Page(s): 2607 - 2614

    IEEE Journals & Magazines

    This paper presents a comparative review of process variables and anomalies that directly affect the key performance indicators (KPIs) in copper electrowinning processes. The KPIs under consideration are product quality, production level, and specific energy consumption. This paper describes industrial techniques used for measuring and monitoring those variables and discusses their importance for global process evaluation. The review shows that it is important to improve the measurement of electrolyte variables for a quick and precise diagnosis and better process behavior and production. View full abstract»

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    Analysis of watermarking techniques in video

    Shojanazeri, H. ; Wan Adnan, W.A. ; Ahmad, S.M.S. ; Saripan, M.I.
    Hybrid Intelligent Systems (HIS), 2011 11th International Conference on

    DOI: 10.1109/HIS.2011.6122153
    Publication Year: 2011 , Page(s): 486 - 492

    IEEE Conference Publications

    Video piracy has become an increasing problem particularly with the proliferation of media sharing through the advancement of internet services and various storage technologies. Thus, research in copyright protection mechanisms, where one of which includes digital watermarking has been receiving an increasing interest from scientists especially in designing a seamless algorithm for effective implementation. Basically digital watermarking involves embedding secret symbols known as watermarks within video data which can be used later for copyright detection purposes. This paper presents the state of the art in video watermarking techniques. It provides a critical review on various available techniques. In addition, it addresses the main key performance indicators which include robustness, speed, capacity, fidelity, imperceptibility and computational complexity. View full abstract»

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    Coverage comparison of UMTS networks in 900 and 2100 MHz frequency bands

    Lodhi, A. ; Hathi, N. ; Gkekas, Y. ; Nahi, P.
    Wireless, Mobile and Multimedia Networks, 2008. IET International Conference on

    Publication Year: 2008 , Page(s): 22 - 25
    Cited by:  Papers (1)

    IET Conference Publications

    Network operators' growing interest in deploying UMTS in 900 MHz is driven by better coverage compared to UMTS at 2100 MHz, especially in rural and new areas. Lower frequency bands provide a number of benefits, such as better radio wave propagation, improved indoor coverage, cost efficient electronic devices and above all enormous CAPEX savings. This paper presents a coverage comparison between UMTS networks in 900 MHz and 2100 MHz frequency bands. Three key performance indicators, i.e., Pilot RSCP, Ec/Io and SIR are formulated and further employed to compare the expected coverage of these networks. The analyses are conducted by using AIRCOM International's radio network planning tool, ASSET. The results are presented in terms of RSCP and SIR coverage, highlighting the benefits of UMTS in 900 MHz band. View full abstract»

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    Traffic engineering analysis of Smart Grid services in cellular networks

    Muller, C. ; Putzke, M. ; Wietfeld, C.
    Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on

    DOI: 10.1109/SmartGridComm.2012.6485992
    Publication Year: 2012 , Page(s): 252 - 257

    IEEE Conference Publications

    This paper presents analytical and simulative traffic engineering models for Smart Grid communication processes in cellular networks. In order to dimension ICT networks for a decentralized and automated Smart Grid infrastructure, a detailed analysis of the expected data volume and required data rate for Smart Metering Services, Demand and Supply Side Management as well as Monitoring Services is needed. Based upon different wireless infrastructure scenarios applying different technology approaches, a comparison between traffic models using stochastic and deterministic inter-arrival times is presented. In order to validate the usability and capability of the proposed stochastic and deterministic models, analytical and simulative methods are compared. The stochastic method is based on a multidimensional Markovian model, whereas the deterministic system is described by a novel analytical approach based on the Network Calculus. The results show different key performance indicators of wireless technology approaches using GPRS, UMTS and LTE within different traffic scenarios and reflect the expected Smart Grid traffic volume, which needs to be taken into account for future network deployments. The performed analysis determines the impact of the Smart Grid services on common speech and data traffic in cellular networks as well as the expected influence of additional network load caused by Smart Grid applications. View full abstract»

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    Centralized Self-Optimization Performance of eICIC and AAS in LTE-A: A Comparison

    Khan, Yasir ; Sayrac, Berna ; Moulines, Eric
    European Wireless 2014; 20th European Wireless Conference; Proceedings of

    Publication Year: 2014 , Page(s): 1 - 6

    VDE Conference Publications

    Centralized Self-Optimization techniques has been gaining interest in the telecommunications community to automate the manual optimization process thereby bringing CAPital EXpenditure (CAPEX) and OPerational EXpenditure (OPEX) gains to the operator. We have developed in our previous work, a novel iterative self-optimization methodology based on surrogate functions to model functional relationships between the Key Performance Indicators (KPIs) and network (configuration) parameters. These relationships are then used by an optimization engine to compute the optimized network parameters which are injected back into the network and the process continues iteratively. In this paper, we use the proposed methodology to solve self-optimization objectives in LTE-A Heterogeneous Networks (HetNets) for two scenarios: enhanced InterCell Interference Coordination (eICIC) and Active Antenna Systems (AAS) based optimization. Results obtained using a network simulator provides a comparison of the two scenarios with relative advantages and disadvantages in a centralized self organizing context. View full abstract»

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    Evaluation of service-oriented IT management in practice

    Hochstein, A. ; Zarnekow, R. ; Brenner, W.
    Services Systems and Services Management, 2005. Proceedings of ICSSSM '05. 2005 International Conference on

    Volume: 1
    DOI: 10.1109/ICSSSM.2005.1499439
    Publication Year: 2005 , Page(s): 80 - 84 Vol. 1
    Cited by:  Papers (5)

    IEEE Conference Publications

    The transformation from a technology-oriented IT department to a client-focused IT service provider with a methodological structuring of internal IT processes can only be guaranteed by service-oriented IT management. In contrast to concepts such as service-oriented computing the service-oriented IT management concept concentrates especially on the management of IT services. A large number of models, methods and concepts were developed, intended to help guarantee service-oriented IT management. Especially the best practice framework ITIL (IT infrastructure library) was noticed by IT management. The ITIL framework has been enhanced continuously and has become a de facto standard under the influence of the internationally active IT service management forum. ITIL is not a process model but a description of activities, documents, roles, success factors, key performance indicators et cetera, which should be taken into account for an ideal IT management. View full abstract»

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    A Methodology for Denoising and Generating Bus Infrastructure Data

    Pinelli, F. ; Calabrese, F. ; Bouillet, E.
    Intelligent Transportation Systems, IEEE Transactions on

    Volume: 16 , Issue: 2
    DOI: 10.1109/TITS.2014.2344297
    Publication Year: 2015 , Page(s): 1042 - 1047

    IEEE Journals & Magazines

    Together with the availability of new mobility data, the development of new intelligent transport systems (ITS) have increased, in order to provide new key performance indicators toward the improvement of the management of traffic awareness in cities. ITS rely on accurate transit infrastructure data that often contain erroneous information (e.g., inconsistencies or is out of date). In this paper, we propose a new methodology that makes use of GPS traces to automatically detect or correct bus stop locations, reconstruct bus route shapes, and estimate time schedules. The methodology performs different steps: 1) data cleaning and detection of trips; 2) bus stop extraction through data mining techniques; 3) route shape reconstruction; and 4) time schedule estimation. A case study using real GPS data from the City of Dublin, Ireland, is performed. View full abstract»

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    Information visualization for mobile devices: A novel approach based on the MagicEyeView

    Ghinea, G. ; Heigum, J. ; Fongen, A.
    Wireless Pervasive Computing, 2008. ISWPC 2008. 3rd International Symposium on

    DOI: 10.1109/ISWPC.2008.4556272
    Publication Year: 2008 , Page(s): 566 - 570

    IEEE Conference Publications

    Visualization on mobile devices not only means accommodating to a small screen space, but also widely different aspect ratios. Improving on the MagicEyeView algorithm, this paper presents a visualization technique that is better suited to screens with skewed aspects ratios. The presented approach is a focus+context visualization effort which employs distortion of coordinate scales and a "fisheye" technique. The visualization algorithm is evaluated in the problem domain of business management and the presentation of "Key Performance Indicators ". View full abstract»

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    Vital statistics

    Sceales, T.
    Communications Engineer

    Volume: 5 , Issue: 5
    Publication Year: 2007 , Page(s): 40 - 41

    IET Journals & Magazines

    We might think we all know our vital statistics - conveniently, often provided for us by the cellcos themselves - but how do we know they are accurate, or that they are the right measures to tell us how healthy the cellcos' businesses are? How can we identify the characteristics of a healthy wireless business and what the next-generation key performance indicators will be? The answer is, of course, all down to vital statistics: each time a new phone is switched on, or a call made with a new SIM card, Vodafone can register a new customer acquisition and keep them on its figures for three months even if the phone or SIM card is only used once. This provides a temporary boost to subscriber numbers, and the company may also hope that some of these accounts will remain active. View full abstract»

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    Detection equipment for Bottom Dead Center of punching machine

    Derong Zhang ; Min Zheng
    Information and Automation (ICIA), 2011 IEEE International Conference on

    DOI: 10.1109/ICINFA.2011.5949062
    Publication Year: 2011 , Page(s): 585 - 589

    IEEE Conference Publications

    Bottom Dead Center (BDC) dynamic accuracy is the key performance indicators of punching machine; it is an important indicator assessing the level of product technology and manufacturing. In this paper, using LabVIEW virtual instrument technology, combining with eddy current sensors, high precision A/D sampling circuit, after analog filtering, real-time capturing and digital filtering, the detection equipment collected BCD curve. And using detection algorithm without the aid of other auxiliary pulse signal, it implements the BDC's identification. And then output test report using Excel software. The resolution of measurement reaches 1 micron. View full abstract»

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    Assuring Demanded Read Performance of Data Deduplication Storage with Backup Datasets

    Young Jin Nam ; Dongchul Park ; Du, D.H.C.
    Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2012 IEEE 20th International Symposium on

    DOI: 10.1109/MASCOTS.2012.32
    Publication Year: 2012 , Page(s): 201 - 208
    Cited by:  Papers (4)

    IEEE Conference Publications

    Data deduplication has been widely adopted in contemporary backup storage systems. It not only saves storage space considerably, but also shortens the data backup time significantly. Since the major goal of the original data deduplication lies in saving storage space, its design has been focused primarily on improving write performance by removing as many duplicate data as possible from incoming data streams. Although fast recovery from a system crash relies mainly on read performance provided by deduplication storage, little investigation into read performance improvement has been made. In general, as the amount of deduplicated data increases, write performance improves accordingly, whereas associated read performance becomes worse. In this paper, we newly propose a deduplication scheme that assures demanded read performance of each data stream while achieving its write performance at a reasonable level, eventually being able to guarantee a target system recovery time. For this, we first propose an indicator called cache aware Chunk Fragmentation Level (CFL) that estimates degraded read performance on the fly by taking into account both incoming chunk information and read cache effects. We also show a strong correlation between this CFL and read performance in the backup datasets. In order to guarantee demanded read performance expressed in terms of a CFL value, we propose a read performance enhancement scheme called selective duplication that is activated whenever the current CFL becomes worse than the demanded one. The key idea is to judiciously write non-unique (shared) chunks into storage together with unique chunks unless the shared chunks exhibit good enough spatial locality. We quantify the spatial locality by using a selective duplication threshold value. Our experiments with the actual backup datasets demonstrate that the proposed scheme achieves demanded read performance in most cases at the reasonable cost of write performance. View full abstract»

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    Performance evaluation of innovative enterprises based on Neural network-Kalman filter model

    Xu Lu ; Xu Hai-yan
    Management Science and Engineering, 2009. ICMSE 2009. International Conference on

    DOI: 10.1109/ICMSE.2009.5317386
    Publication Year: 2009 , Page(s): 450 - 455

    IEEE Conference Publications

    Building an innovative country is an important national strategy and developing a number of innovative enterprises is the key point to build an innovative country. How to evaluate the innovative enterprises performance scientifically has become the research hot spot. Based on deep analysis of performance evaluating status and characteristics of innovative enterprises, some indicators are selected and designed in the paper by using the generalized minimum variance analysis, which include both financial indicators that embody the profitability, operating ability, debt paying ability, development ability and non-financial indicators that reflect the technology innovating, business process, knowledge management and external stakeholders' interest. Innovative enterprises performance evaluating model was established by using Neural network-Kalman filter model with 60 innovative enterprises in electonics industry as samples, model value were fit high with the actual performance by empirical tests. The case analysis demonstrates that the performance could be evaluated by appling evaluation model and weak indicators causing low performance could be found separately. Some weak indicators were sorted according to influence degree and some countermeasures to improve innovative enterprises performance were proposed based on analying main weak indicators. View full abstract»

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    BSC-Based Indicators Public Projects Executive Performance Evaluation System Research

    Yi Wei ; Yan Yanmei
    Business and Information Management, 2008. ISBIM '08. International Seminar on

    Volume: 2
    DOI: 10.1109/ISBIM.2008.32
    Publication Year: 2008 , Page(s): 191 - 194

    IEEE Conference Publications

    In view of the country enlarge investment to the public projects, it needs a complete set public projects evaluate performance indicators and evaluation methods to assess the implementation of public projects. This article put forward a set of new public projects executive performance evaluation indicators system, namely from three angles which are the key influence factor of project performance(Cost, time, quality), the life cycle of project (initial period, medium period, last period) and balanced score card. The article establishes the set of public projects executive performance evaluation indicators system which is practical and dynamic. The indicators system solve the existing targets deficiencies which it focus only after the evaluation of static and rarely performance evaluation on the project executive process, and carry on the comprehensive analysis to the public projects executive performance. This system has consummated the insufficiency of existing indicators system, and has provided the complete and effective basis for the director department to evaluate projects. View full abstract»

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    Learning-Based SMT Processor Resource Distribution via Hill-Climbing

    Seungryul Choi ; Yeung, D.
    Computer Architecture, 2006. ISCA '06. 33rd International Symposium on

    DOI: 10.1109/ISCA.2006.25
    Publication Year: 2006 , Page(s): 239 - 251
    Cited by:  Papers (5)

    IEEE Conference Publications

    The key to high performance in simultaneous multithreaded (SMT) processors lies in optimizing the distribution of shared resources to active threads. Existing resource distribution techniques optimize performance only indirectly. They infer potential performance bottlenecks by observing indicators, like instruction occupancy or cache miss counts, and take actions to try to alleviate them. While the corrective actions are designed to improve performance, their actual performance impact is not known since end performance is never monitored. Consequently, potential performance gains are lost whenever the corrective actions do not effectively address the actual bottlenecks occurring in the pipeline. We propose a different approach to SMT resource distribution that optimizes end performance directly. Our approach observes the impact that resource distribution decisions have on performance at runtime, and feeds this information back to the resource distribution mechanisms to improve future decisions. By evaluating many different resource distributions, our approach tries to learn the best distribution over time. Because we perform learning on-line, learning time is crucial. We develop a hill-climbing algorithm that efficiently learns the best distribution of resources by following the performance gradient within the resource distribution space. This paper conducts an in-depth investigation of learning-based SMT resource distribution. First, we compare existing resource distribution techniques to an ideal learning-based technique that performs learning off-line. This limit study shows learning-based techniques can provide up to 19.2% gain over ICOUNT, 18.0% gain over FLUSH, and 7.6% gain over DCRA across 21 multithreaded workloads. Then, we present an on-line learning algorithm based on hill-climbing. Our evaluation shows hill-climbing provides a 12.4% gain over ICOUNT, 11.3% gain over FLUSH, and 2.4% gain over DCRA across a larger set of 42 multiprogrammed workloads View full abstract»

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    Performance indicators for wireless industrial communication networks

    Gamba, G. ; Seno, L. ; Vitturi, S.
    Factory Communication Systems (WFCS), 2010 8th IEEE International Workshop on

    DOI: 10.1109/WFCS.2010.5548642
    Publication Year: 2010 , Page(s): 3 - 12
    Cited by:  Papers (4)

    IEEE Conference Publications

    The recent improvements of the wireless networks performance offer a valuable opportunity also in the context of industrial communication systems. However, these systems are often subjected to such tight reliability requirements as well as timing constraints that wireless communications, especially in an interfered scenario, can hardly comply with. A thorough performance assessment is hence needed both at the design stage and during the typical operating life. In such a direction it is important to define some performance indicators that can monitor the main parameters of industrial communication systems employing wireless networks. In this paper a set of performance indicators for polling-based industrial communication is introduced. Then, two case studies of industrial communication systems that make use of two different wireless networks (namely the IEEE 802.11 WLAN and the IEEE 802.15.4 WPAN) are presented and the relevant performance indicators are experimentally measured. The purpose is to show how the performance indicators may provide useful insights in the behavior of the systems as well as how they may be positively influenced by a careful selection of some key parameters. View full abstract»

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    Performance scorecards for electric power distribution

    Petkovic, I. ; Petkovic, D. ; Petkovics, A.
    Intelligent Systems and Informatics, 2009. SISY '09. 7th International Symposium on

    DOI: 10.1109/SISY.2009.5291143
    Publication Year: 2009 , Page(s): 311 - 315
    Cited by:  Papers (1)

    IEEE Conference Publications

    This work presents the performance scorecards which have lately been used more and more as a means of visual representation of business indicators of companies. The terminology in connection of this latest trend in reporting (presenting values) key indicators of performance of businesses is not unequivocal, there are various terms used for the same subject: Scorecards, Enterprise Dashboards, Balanced Scorecards, Performance Dashboard, KPI Summary, etc. The idea of performance scorecards is based on the method of Balance Scorecards [6] but the number of indicators and specific indicators is not limited to those defined in the work of Kaplan and Norton. The representation of the entire commerce, i.e. keeping track of the planned performances is easy as the graphical reports in the form of scorecards is extremely expressive an easily understandable for business men. Moreover, they can suggest the necessary activities depending on the value of the indicator, i.e. the deviation from the planned values. Based on this the Scorecards have become necessary in performance control of the entire enterprise, some its organizational units or specific important functions. This work also includes the possible contents of the hierarchical scorecard for performance control of electrical energy distribution. View full abstract»

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    Building on success [performance management system]

    Norcross, L.
    Manufacturing Engineer

    Volume: 85 , Issue: 3
    Publication Year: 2006 , Page(s): 42 - 45

    IET Journals & Magazines

    Sustaining and improving the performance of a newly transformed operating system relies on more than the measurement of key indicators. It requires performance management systems that make use of the information they collect to take timely action before problems occur. To establish an appropriate performance management system, organizations need to decide how value should be measured at the top level of the organization and to choose performance indicators and targets that cascade from these top level metrics down to the shop floor. The right indicators include primary measures that effectively describe the system's performance and secondary measures that can act as a predictor for forthcoming problems or an aid to the diagnosis of root causes. They also include measures of performance over timescales, maintaining the organization's health so that short term profit is not achieved at the expense of future success. With a well-designed, effectively operated performance measurement system, companies can ensure that improvements achieved during the initial phase of an operational transformation are maintained and enhanced over the long term. View full abstract»

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    Evaluating the Performance of Collaboration Engineers

    Randrup, N.L. ; Briggs, R.O.
    System Sciences (HICSS), 2015 48th Hawaii International Conference on

    DOI: 10.1109/HICSS.2015.78
    Publication Year: 2015 , Page(s): 600 - 609

    IEEE Conference Publications

    Collaboration Engineering (CE) is an approach to designing collaborative work systems for high-value tasks, and transferring them to practitioners to execute for themselves without support from a collaboration expert. The stakes are high on a CE project, so it would be useful to have a way to evaluate the performance of the collaboration engineers (CEs) who design the work systems. One can evaluate an engineer in terms of the efficiency of resource use, the timeliness of completion, stakeholder satisfaction, and the quality of work with respect to objectives. Measures for resource efficiency, timeliness, and satisfaction are common across disciplines. Measures of work quality, however, are specific to each discipline because each has different objectives. This paper focuses on evaluating the performance of CEs with respect to work quality. Toward that end, we contribute a seven-stage CE methodology based on the Six Layer model of collaboration, and define for each stage its objectives, key activities and work products. From those we derive indicators of work quality for each stage based on a) the justifiability of key decisions, and b) quality of work products. The performance indicators are framed as checklist questions with either yes/no, no/yes, or five-point scales. These indicators are heuristics, they are not designed to be validated metrics for rigorously-defined theoretical constructs, and are not intended to support theoretical and experimental research. They are useful for evaluating of CEs' performance during and after a project, and also would support further exploratory and engineering research on the performance of CEs. View full abstract»

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    Optimizing indicator choosing for canal control system and simulation study

    Guanghua Guan ; Changde Wang ; Clemmens, A.J.
    Networking, Sensing and Control (ICNSC), 2011 IEEE International Conference on

    DOI: 10.1109/ICNSC.2011.5874883
    Publication Year: 2011 , Page(s): 192 - 196
    Cited by:  Papers (1)

    IEEE Conference Publications

    One key problem for canal system control is how to select appropriate performance indicators and how to tune the controller with these indicators. A canal system is a multi-input and multi-output (MIMO) system. The judging control performance can be extremely complicated. In this paper, frequently used canal system performance indicators are evaluated. Then these indicators are used individually to tune the control parameters for a simple proportional-integral (PI) controller on a test canal. Then we evaluated these controllers on this test canal through simulation. Based on these results, we develop a general performance indicator (IG) that is a combination of the individual indicators. For this test case, it is shown that this indicator represents a good compromise. It is hoped that this approach can be used to develop a more robust method for determining criteria for controller tuning. View full abstract»

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    Research of Organizational Learning Measure Based on Organizational Learning Maturity Model

    Sui Jing ; Yu Jiancheng ; Sui Jie
    Management and Service Science, 2009. MASS '09. International Conference on

    DOI: 10.1109/ICMSS.2009.5302221
    Publication Year: 2009 , Page(s): 1 - 4

    IEEE Conference Publications

    Based on the idea of Barro's endogenous economic growth model and the balanced score card, this paper considers the impact of organizational learning on organizational performance eventually reflects in financial affairs, customers, internal business progress, and learning & growth of organization. Financial indexes reflect the organizational performance directly. The latter three aspects are embodied in the key impellent power of organizational performance. The output indicators of organizational learning system are analyzed from internal business progress, customers, and learning & growth of organization in detail, which shows the reason why productivity, cost, quality, market share, innovation ability, knowledge accumulation are six key factors of impellent power of organizational performance. Along the thinking of "process of organizational learning-organizational learning capacity-key impellent power of performance-operation performance", the maturity model of organizational learning is designed. Finally, a model is proposed to measure organizational learning by production function, which provides a new idea for the quantification of organizational learning. View full abstract»

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    OSLAM: Towards ontology-based SLA management for IPTV services

    Sin-seok Seo ; Arum Kwon ; Joon-Myung Kang ; Hong, J.W.-K.
    Integrated Network Management (IM), 2011 IFIP/IEEE International Symposium on

    DOI: 10.1109/INM.2011.5990570
    Publication Year: 2011 , Page(s): 1228 - 1234
    Cited by:  Papers (1)

    IEEE Conference Publications

    IPTV is emerging as a new service that can be very lucrative for telecommunication service providers. In addition, work is progressing to make IPTV an entertainment platform that can replace traditional TV for customers. Guaranteeing service quality is one of the most important factors to make IPTV services successful. For this, an IPTV service provider and a customer make a contract that uses specific quality indicators in a Service Level Agreement (SLA). To efficiently manage and guarantee SLAs, a method is required that can manage all hierarchical performance indicators from raw device level performance indicators to key quality indicators. In this paper, we analyze various IPTV performance indicators from various standard organizations and suggest an IPTV performance indicator hierarchy by extending the DEN-ng information model. Then, we propose an architecture that uses an ontology and Semantic Web Rule Language to manage SLAs, and more specifically, to detect SLA violations. The proposed architecture is implemented and tested using a simple scenario. The test results showed a possibility that the architecture can be used for detecting SLA violations. View full abstract»

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    On strategy-oriented local party and government leaders environment protection performance Assessment Indicator System

    Jingkun Zhou
    Future Information Technology and Management Engineering (FITME), 2010 International Conference on

    Volume: 1
    DOI: 10.1109/FITME.2010.5654916
    Publication Year: 2010 , Page(s): 284 - 287

    IEEE Conference Publications

    The text summarize how to make environment protection strategy of local government, by analyzing key success factors of local environment protection through brain storm, discomposing from the up down key success factors of local environment through strategic goals correlations, and abstracting Local Party and Government Leaders key environment protection performance indicators through fishbone diagram as a process in making environment protection performance indicators of the leaders; analyze how to choose subject of local party and government leaders environment protection performance assessment by subject method of stakeholders; how to design weights of the assessment through Delphi method, etc. to systematically build Strategy-Oriented Local Party and Government Leaders Environment Protection Performance Assessment Indicator System, which is expected to have some policy implication in building Local Party and Government Leaders Environment Protection Performance Assessment Indicator System in China.. View full abstract»

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    Appraisal and Evaluation of Interurban ITS: A European Survey

    Kolosz, B.W. ; Grant-Muller, S.M.
    Intelligent Transportation Systems, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TITS.2014.2351253
    Publication Year: 2014 , Page(s): 1 - 18

    IEEE Early Access Articles

    Intelligent transport systems (ITS) have at their core technological systems that work together to improve transportation performance. However, this performance becomes uncertain when the technologies themselves are scrutinized alongside the benefit they deliver. This paper reviews the background theory, issues, and gaps concerning the assessment of performance for ITS, as well as a review of frameworks proposed by various authors in the field. This paper provides an original contribution through 1) identifying twelve evaluation framework requirements, 2) proposing corresponding solutions to business, and 3) the introduction of four key performance areas for ITS. The key requirements of ITS from the literature include improved geographical focus, reducing conflicting stakeholder involvement, and consolidating elements of ITS that are currently calculated in isolation. Current indicators are biased toward economic benefit. The definition of four key performance areas are Adaptability, Sustainability, Standardization, and Data Management. To conclude, the introduction of technology requires a paradigm shift, in terms of reorganization and realignment of the scope of conventional transport system evaluation. This is needed, in order to maintain accuracy and more fully capture performance aspects when appraising ITS. View full abstract»

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    Driving continuous improvement

    Bititci, U.S. ; Nudurupati, S.
    Manufacturing Engineer

    Volume: 81 , Issue: 5
    DOI: 10.1049/me:20020506
    Publication Year: 2002 , Page(s): 230 - 235

    IET Journals & Magazines

    The quality of improvement depends on the quality of leading and lagging performance indicators. For this reason, several tools, such as process mapping, cause and effect analysis and FMEA, need to be used in an integrated way with performance measurement models, such as balanced scorecard, integrated performance measurement system, performance prism and so on. However, in our experience, this alone is not quite enough due to the amount of effort required to monitor performance indicators at operational levels. The authors find that IT support is key to the successful implementation of performance measurement-driven continuous improvement schemes. View full abstract»

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    Who Is Your Neighbor: Net I/O Performance Interference in Virtualized Clouds

    Xing Pu ; Ling Liu ; Yiduo Mei ; Sivathanu, S. ; Younggyun Koh ; Pu, C. ; Yuanda Cao
    Services Computing, IEEE Transactions on

    Volume: 6 , Issue: 3
    DOI: 10.1109/TSC.2012.2
    Publication Year: 2013 , Page(s): 314 - 329
    Cited by:  Papers (6)

    IEEE Journals & Magazines

    User-perceived performance continues to be the most important QoS indicator in cloud-based data centers today. Effective allocation of virtual machines (VMs) to handle both CPU intensive and I/O intensive workloads is a crucial performance management capability in virtualized clouds. Although a fair amount of researches have dedicated to measuring and scheduling jobs among VMs, there still lacks of in-depth understanding of performance factors that impact the efficiency and effectiveness of resource multiplexing and scheduling among VMs. In this paper, we present the experimental research on performance interference in parallel processing of CPU-intensive and network-intensive workloads on Xen virtual machine monitor (VMM). Based on our study, we conclude with five key findings which are critical for effective performance management and tuning in virtualized clouds. First, colocating network-intensive workloads in isolated VMs incurs high overheads of switches and events in Dom0 and VMM. Second, colocating CPU-intensive workloads in isolated VMs incurs high CPU contention due to fast I/O processing in I/O channel. Third, running CPU-intensive and network-intensive workloads in conjunction incurs the least resource contention, delivering higher aggregate performance. Fourth, performance of network-intensive workload is insensitive to CPU assignment among VMs, whereas adaptive CPU assignment among VMs is critical to CPU-intensive workload. The more CPUs pinned on Dom0 the worse performance is achieved by CPU-intensive workload. Last, due to fast I/O processing in I/O channel, limitation on grant table is a potential bottleneck in Xen. We argue that identifying the factors that impact the total demand of exchanged memory pages is important to the in-depth understanding of interference costs in Dom0 and VMM. View full abstract»

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    A conceptual evaluation model of the RFID performance using a balanced scorecard

    Yong-Jae Park ; Myung-Hwan Rim
    Management of Engineering & Technology, 2009. PICMET 2009. Portland International Conference on

    DOI: 10.1109/PICMET.2009.5262265
    Publication Year: 2009 , Page(s): 3382 - 3390

    IEEE Conference Publications

    There are twe purposes in this study. One is to help draw objective and reasonable results of performance evaluation by developing and proposing radio frequency identification (RFID) performance evaluation models suitable for public-sector and private-sector. The other is to use the model for pulling and accelating demand for RFID through concrete and measurable evidences of the new technology's benefits. This study developed two models for evaluating the performance of RFID using a balanced scorecard (BSC); one for the public-sector and the other for the private-sector. To determine the most appropriate indicators to capture performance changes resulting from the introduction of RFID for the two sectors, we performed an Analytic Hierarchy Process (AHP) analysis on a set of indicators from the existing literature. The result showed that the most important of the four performance perspectives was the customer perspective for the public-sector, and the financal perspective for the private-sector. Meanwhile, the key perfromane indicators (KPIs) which affected the attainment of organizational goals the most were customer satisfaction, cost reduction, economic effect, and inventory management efficiency for the public-sector, and return on investment (ROI), return on sales (ROS) and customer satisfaction for the private-sector. View full abstract»

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    Developing Evaluation Tool for e-Learning

    Ga-jin In
    Management of Engineering and Technology, Portland International Center for

    DOI: 10.1109/PICMET.2007.4349475
    Publication Year: 2007 , Page(s): 1526 - 1537

    IEEE Conference Publications

    Summary form only given. As the human capital becomes more important for creating firm's value, e-learning is a core method to increase firm's competitiveness in rapidly changing environment. Many firms have converted the current employee education into digital way and increased the investments in e-learning. This study develops the KAI (key activity indicator) oriented "evaluation indicators of e-learning" as a guideline for continuously checking firm's e-learning process. Focusing not KPI (key performance indicator) but KAI (key activity indicator) has many advantages in the sense that KAI is focused on the activities that causes the performance, while KPI is focused on ex-post performance. This study develops the framework of e-learning evaluation through 6 steps: 5 key acitivity dimensions and sub-activities (factors) of e-learning were identified. And conceptual and operational definition of the factors were presented. Measurement items for each factors were created and were verified by using delphi method. Finally, "evaluation tool for e-learning" was suggested (concluding 5 key activity dimensions, 13 sub-activities (factors), and 38 measurement items). "Evaluation tool for e-learning" shows managers present condition of operating e-learning and enables them to monitor every sub-activities of e-learning and immediately provide feedback. View full abstract»

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    A grey model for evaluating research performance of university researchers in China

    Zhuo Zhang ; Zan Xu ; Qunhui Luo ; Mi Chuanmin
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

    DOI: 10.1109/ICSMC.2008.4811591
    Publication Year: 2008 , Page(s): 2039 - 2044

    IEEE Conference Publications

    Research performance is an important subject for evaluating university researchers and projects they take. In China, many universities set an objective to establish research universities, in which research is one of the most important tasks of faculty members. Therefore, research performance becomes a key criterion for evaluating a faculty member. However, there is no suitable evaluation methodology to assess the performance of faculty members in order to conduct them to pursue research excellence. This paper suggests evaluating research performance of university faculty members from the aspects of research funding, academic publications, industrial applications, teaching by research, and academic ethics. A grey evaluation model is used to measure the research performance based on these aspects. It uses a multi-level indicator system to present the major performance areas. A grey coefficient is provided to comprehensively evaluate the research performance of a faculty member in university, so that it can be used as a reference for his/her future promotion. It also can be used to assess his /her capabilities for granting new research projects in the future. View full abstract»

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    A Comparison of Key PV Backsheet and Module Performance from Fielded Module Exposures and Accelerated Tests

    Gambogi, W. ; Heta, Y. ; Hashimoto, K. ; Kopchick, J. ; Felder, T. ; MacMaster, S. ; Bradley, A. ; Hamzavytehrany, B. ; Garreau-Iles, L. ; Aoki, T. ; Stika, K. ; Trout, T.J. ; Sample, T.
    Photovoltaics, IEEE Journal of

    Volume: 4 , Issue: 3
    DOI: 10.1109/JPHOTOV.2014.2305472
    Publication Year: 2014 , Page(s): 935 - 941
    Cited by:  Papers (1)

    IEEE Journals & Magazines

    The performance of photovoltaic (PV) modules and their component materials under the stresses in the outdoor environment is the most important indicator of reliability, durability, and safety of PV modules throughout their service life. Tedlar polyvinyl fluoride films have been a key component in backsheet component structures and used in PV modules that have been in the service environment for over 25 years. The performance of fielded modules and components can be compared with the performance in durability tests using other backsheet materials including polyethylene terephthalate. Accelerated testing protocols are described including UV exposure based on solar irradiance in different climates and relevant albedo levels for exposure of the back of PV modules. The change in critical performance properties in durability tests including damp heat and UV is compared with backsheets that are extracted from fielded modules. Analysis of mechanical and chemical properties of the inner and outer layers of backsheets that are removed from fielded modules is examined. Area-specific coring techniques that are followed by layer composition analysis were also used to understand fielded module failure mechanisms/defects. The impact of extended damp heat and UV on backsheet properties and module performance that is observed in the field is further quantified through measurement of mechanical, optical, electrical, and permeability properties of the backsheet and power, electrical insulation, and physical properties of the modules. Correlations between field performance and accelerated testing are demonstrated. The first results for sequential and combined stress testing are described and compared with the field performance. A comparison of two large and diverse sets of modules from two different locations (EU and Japan) is discussed, and the power loss with field exposure period and the impact of backsheet is described. View full abstract»

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    The study on the relationship among technical indicators and the development of stock index prediction system

    Sheng-Chai Chi ; Wei-Ling Peng ; Pei-Tsang Wu ; Ming-Wei Yu
    Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American

    DOI: 10.1109/NAFIPS.2003.1226799
    Publication Year: 2003 , Page(s): 291 - 296

    IEEE Conference Publications

    The purpose of this research is to study the relationship of changes between the stock indicators and stock index in order to understand how the trend of stock index change is under the complex influence among the stock technical indicators. The proposed methodology, first of all, applies the self-organizing map (SOM) neural network to cluster the similar indicators into groups based on their similarity of moving curve within a certain period of time. To investigate the relationship between the stock index and the technical indicators within any of the groups, the fuzzy neural network (FNN) technique is employed to search for the rules about their relationships. To evaluate the performance of the SOM, the grey relationship analysis was used for the verification of how similar of the indicators which was clustered into a group. According to the results, it is clear that the capability of the SOM in clustering is confirmed. To further improve the predication accuracy, this research selected some key indicators from each of the groups as the inputs of neural network and the results completes a much better prediction accuracy than all of the previous networks. View full abstract»

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    Wireless network performance test in hybrid wired/wireless network system

    Dezhi Jiang ; Minrui Fei ; Haikuan Wang ; Tongtao Li
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on

    DOI: 10.1109/WCICA.2011.5970672
    Publication Year: 2011 , Page(s): 1029 - 1034

    IEEE Conference Publications

    Recently, considerable researches on wireless networks have been carried in industrial automation. A great deal of wireless control and monitoring systems are introduced in certain problematic parts of the process industry to improve the productivity and efficiency. However, the control and monitor application requires high standard performances, such as reliability, real-timing and accuracy. Therefore a comprehensive performance assessment is needed to test the property of the wireless network so as to optimize the network protocol and improve the network communication quality. This paper studies the wireless network in the integrated wired/wireless fieldbus system and proposes a method to acquire a set of key indicators of wireless networks. Then, a test device is designed to acquire the performance indicators of the system. The wireless protocols are analysed according to the performance indicators. The results show that the test for the performance of wireless networks can be realized by the method mentioned. View full abstract»

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    Performance evaluation of universities in China based on ESI database

    Yan Cao ; He-feng Tong ; Jie Yu ; Dar-Zen Chen ; Mu-Hsuan Huang ; Xu Zhang ; Yong Luo ; Yun-Hua Zhao ; Ze-Yu Zhang
    Technology Management for Global Economic Growth (PICMET), 2010 Proceedings of PICMET '10:

    Publication Year: 2010 , Page(s): 1 - 8
    Cited by:  Papers (1)

    IEEE Conference Publications

    The research performance of universities in China is evaluated in this study from the global perspective. Based on the Essential Science Indicators (ESI) database, this research mainly concerns the academic output in overall publication activity and the influential strength of certain disciplines of selected universities. Different types of bibliometric methods are applied in this study, including publication output and impact indicators. Some basic bibliometric indicators, such as number of papers, number of citations, average citation rates, and number of highly cited papers, are obtained from ESI. The other three indicators are yielded from more complicated calculation in order to comprehensively interpret academic performance of selected universities. The overall research performance and the superior disciplines of these universities are revealed in this study, and the authors also compare the outstanding academic disciplines with their so called National Key Disciplines that the universities prioritize. The results show that there is a considerable gap between quality and quantity of research output of the universities in China. Meanwhile, a large degree of research influence concentrates on some specific disciplines of selected universities. View full abstract»

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    Performance of wireless sensor networks under random node failures

    Bradonjic, M. ; Hagberg, A. ; Feng Pan
    MILITARY COMMUNICATIONS CONFERENCE, 2011 - MILCOM 2011

    DOI: 10.1109/MILCOM.2011.6127570
    Publication Year: 2011 , Page(s): 1784 - 1789
    Cited by:  Papers (2)

    IEEE Conference Publications

    Networked systems are essential to the function of modern society and the consequences of damage to networks can be severe. Assessing the performance of a network is an important step for recovering damaged networks and designing reliable networks. Some of the key general indicators of network performance are connectivity, distance between node pairs, and number of alternative routes. We focus on sensor networks with a topology modeled by a class of random geometric graphs (RGGs). In order to evaluate survivability and reliability, we consider two types of failure modes in a RGG: uniform and localized node failures. Since network performance is multi-faceted, and assessment can be time constrained, we introduce four measures, each of which can be computed in polynomial time, to estimate performance of a damaged RGG. Theoretical analysis of these four measures is challenging, especially when the underlying graph becomes disconnected. The focus of this paper is to conduct simulation experiments on several measures of network performance through the temporal process of node failures. Together with the empirical results the performance measures are analyzed and compared in order to provide understanding of the two different failure scenarios in a RGG. View full abstract»

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    Impact of Packet Size and Node Mobility Pause Time on Average End to End Delay and Jitter in MANET's

    Hakak, S. ; Anwar, F. ; Latif, S.A. ; Gilkar, G. ; Alam, M.K.
    Computer and Communication Engineering (ICCCE), 2014 International Conference on

    DOI: 10.1109/ICCCE.2014.28
    Publication Year: 2014 , Page(s): 56 - 59

    IEEE Conference Publications

    Mobile ad-hoc network (MANET) is a self-configuring infrastructure less network of mobile devices connected by Wireless and each node or mobile device is independent to move in any desired direction and thus link goes on changing from one node to another. In MANET's, routing is considered as one of the most difficult and challenging task and due to that reason, most of the studies have focused on comparing protocols with each other under varying network conditions. But to the best of our knowledge no one has studied effect of different factors on network performance indicators like throughput, Jitter and so on, as how much influence a particular factor or group of factors is having on network performance indicators itself. Thus, in this paper effect of three key factors i.e. Routing protocol, packet size and Node Mobility Pause time is evaluated on the key network performance metrics i.e. Average Delay and Average Jitter, as these parameters are crucial for network performance and directly affects the buffering requirements for all video devices and downstream network. Also excess value of Delay and jitter can lead to many problems ranging from lip-synchronization problem to the loss of packets because of buffer overflow or underflow. View full abstract»

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    Environmental indicators for ICT products - a practical approach based on four steps

    Warburg, N. ; Braune, A. ; Eyerer, P. ; Herrmann, C. ; Gallon, N.
    Electronics and the Environment, 2005. Proceedings of the 2005 IEEE International Symposium on

    DOI: 10.1109/ISEE.2005.1437030
    Publication Year: 2005 , Page(s): 226 - 230

    IEEE Conference Publications

    Societal concerns on pollution, hazardous materials, global warming and sustainability provoke responses from society. Public policy or changes in consumer behavior are specific examples. For electrical and electronic equipment (EEE) the released EU directives such as the WEEE (directive on waste of electrical and electronic equipment) and RoHS (restriction of the use of certain hazardous substances in EEE) and future directives such as EuP (ecodesign of energy-using products) are already having and will have a significant impact on how products are designed, built, used and treated at their end of life. To bear this challenge, measurable and understandable criteria for assessing and demonstrating the environmental performance of products are needed. Key methodology for a holistic and reliable environmental evaluation of products is Life Cycle Assessment (LCA). This scientifically established approach leads to useful and reliable results regarding environmental evaluation of the entire life cycle of products. From the acquisition of raw materials, over the use of the products to the end of life management all life cycle stages are considered. Product characteristics (such as weight and materials used, energy consumption during use) and all relevant inputs and outputs (such as energy, raw materials, emissions) occurring throughout the entire life cycle are regarded. To improve products from an environmental point of view, eco-design recommendations for product designers need to be reliable and easy to handle. Environmental performance indicators based on technical product characteristics and based on LCA permits to efficiently ameliorate the environmental profile of a product. Efficiently, since only a fraction of information input is needed, this approach provides a tailored and simplified method using environmental performance indicators. This paper introduces a consistent methodology for the development of environmental performance indicators for information and communication technologies (ICT) products. View full abstract»

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    Performance Measures and MHT for Tracking Move-Stop-Move Targets with MTI Sensors

    Hernandez, M. ; Benavoli, A. ; Graziano, A. ; Farina, A. ; Morelande, M.
    Aerospace and Electronic Systems, IEEE Transactions on

    Volume: 47 , Issue: 2
    DOI: 10.1109/TAES.2011.5751239
    Publication Year: 2011 , Page(s): 996 - 1025
    Cited by:  Papers (2)

    IEEE Journals & Magazines

    We consider the problem of tracking ground-based vehicles with moving target indicator (MTI) sensors. MTI sensors can only detect a target if the magnitude of the range-rate exceeds the minimum detectable velocity, and as a result targets typically exhibit evasive move-stop-move (MSM) behavior in order to avoid detection. Further complexity is added by the fact that the environment is cluttered, resulting in both missed detections and spurious false measurements. A key problem is then to distinguish between a missed detection of a moving target and a lack of a detection due to the target stopping (or moving at low velocity). In this paper, we provide a novel framework for calculating performance measures (which are not necessarily bounds) for this problem. Our approach unifies state-of-the-art posterior Cram??????r-Rao lower bound (PCRLB) approaches for dealing with manoeuvring targets (namely, the best-fitting Gaussian approach) and cluttered environments (the measurement sequence conditioning approach). Our approach is also able to exploit the correlation between the number of measurements at each sampling time and the target motion model. Furthermore, we are able to show that established PCRLB methodologies are special cases of this unifying approach. We therefore provide a general technique for calculating performance bounds/measures for target tracking that can be applied to a broad range of problems. We also introduce a multiple hypothesis tracker (MHT) implementation for this problem. In simulations, the MHT is shown to accurately track the target, and provided that the probability of detection is close to unity, the new performance measure is an extremely accurate predictor of the localization performance of the MHT. If the probability of detection is lower, and except when employing a short scanback, the MHT performance is significantly better than the measure. In such cases the true limit of performance is the measure calculated by assuming the correct mot- - ion model, and data association hypotheses are known. The MHT filter is also shown to maintain track of the target in a high percentage of simulations, even with a scanback of just a few time steps. Therefore if track maintenance is the most important requirement, the employment of long scanbacks is not essential. We conclude that our PCRLB-like measure and MHT implementation provide effective approaches for performance prediction and target tracking, respectively, in the challenging MTI domain. View full abstract»

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    Performance Comparison of Four-Socket Server Architecture on HPC Workload

    Kasim, H. ; March, V. ; See, S.
    Computational Science and Engineering, 2009. CSE '09. International Conference on

    Volume: 1
    DOI: 10.1109/CSE.2009.258
    Publication Year: 2009 , Page(s): 306 - 311

    IEEE Conference Publications

    Recent server architectures embrace a common technology feature: on-chip parallelism via multi-core and CMT (Chip Multi Threading) technologies. However, they also significantly differ in a number of key aspects including clock speed, micro-architecture, cache hierarchy, and memory sub-system. Such differences may lead to difference levels of application performance. This paper presents a performance comparison of the recent four-socket server architecture on various high performance computing (HPC) workloads. Our analysis is based on two benchmark suites from Standard Performance Evaluation Corporation (SPEC): SPEC CPU2006 and SPEC OMP2001. Our analysis shows that no single architecture is the best for all types of workload. In addition, we found that the CPU clock speed, which is often used as the sole performance indicator, does not always reflect application performance. View full abstract»

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    A restructuring method for the concurrent B+-tree based on semantic consistency

    Sungchae Lim ; Lee, Y.J. ; Kim, M.H.
    Database Systems for Advanced Applications, 1999. Proceedings., 6th International Conference on

    DOI: 10.1109/DASFAA.1999.765756
    Publication Year: 1999 , Page(s): 229 - 236

    IEEE Conference Publications

    As the B-tree index could be a performance bottleneck in database systems, concurrent B-tree algorithms have been intensively studied to improve concurrency of B-tree accesses in the literature. We propose a new concurrent B+-tree algorithm for high concurrency and an efficient tree restructuring method. Because the proposed method of tree restructuring always preserves a semantic consistency of the B+ -tree, a key searcher need not require any lock for a range search as well as a single-key search. To maintain correctly the link fields constructed at the leaf level, we make each leaf node contain two key-range indicators, and develop a tree restructuring method using these key-range indicators View full abstract»

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    A study on the framework and indicators for open innovation performance via AHP approach

    Chien-Tzu Tsai ; Wan-Fen Liao
    Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET '11:

    Publication Year: 2011 , Page(s): 1 - 7

    IEEE Conference Publications

    Innovation is the key for an organization to achieve sustainable development. Open innovation which emphasizes the integration of internal and external resources in an organization has brought about a new perspective in technological developments. In order to promote and ensure the performance of the open innovation, an assessment framework and the evaluation indicators are required. This study extracted dimensions from literatures and developed performance indicators by compiling opinions from both academic researchers and business experts. The study then flowed into an Analytic Hierarchy Process for data analysis. The systematic level included “Technology execution,” “Technology exploitation” and “Technology exploration” and among all the sub-dimensions for open innovation performance, “Employee involvement” was the most significant. This study identified three significant indicators that are suggested by academic and business experts: “The percentage of successful cross-departmental staff participation in new product development”, “The degree of incentive/reward system implementation for innovation”, and “The degree of innovation sharing among employees”. View full abstract»

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    FAHP Model Application in Evaluating the Factors Influencing the Innovative Performance of Talents

    Li Zhihong
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on

    DOI: 10.1109/ICEEE.2010.5661431
    Publication Year: 2010 , Page(s): 1 - 3

    IEEE Conference Publications

    The objective evaluation of the factors influencing the performance of the innovation talents is the key to the effective investment into the innovation. Up to now, some methods as survey, experiment, case study, etc. have been used to study the performance of talents. However, most of them are qualitative approaches. So, to raise the objectivity of the study, the paper applies Fuzzy Analytic Hierarchical Process (FAHP) to evaluate the factors influencing the performance of the innovative talents. FAHP is an approach that combines the qualitative and the quantitative skill. By FAHP, the paper has set up the evaluation indicator system of the factors influencing the performance of the innovative talents and the evaluation models of the system. With the deduction of fuzzy consistency, the paper has realized dynamic self-adaptation of the factors influencing the performance of the innovative talents in the evaluation matrix. Finally, the paper proposes the relative weights and the priority sequencing of the factors influencing the performance of the innovative talents by solving the evaluation matrix. View full abstract»

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    Towards Smart Service Networks: An Interdisciplinary Service Assessment Metrics

    Yan Wang ; Taher, Y. ; van den Heuvel, W.
    Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2012 IEEE 16th International

    DOI: 10.1109/EDOCW.2012.22
    Publication Year: 2012 , Page(s): 94 - 103
    Cited by:  Papers (2)

    IEEE Conference Publications

    Service Networks (SNs) are open systems accommodating the co-production of new knowledge and services through organic peer-to-peer interactions. Key to broad success of SNs in practice is their ability to foster and ensure a high performance. By performance we mean the joint effort of tremendous interdisciplinary collaboration, cooperation and coordination among the network participants. However, due to the heterogeneous background of such participants (i.e., business, technical, etc.), different interpretations of the shared terminology are likely to happen. Thus, confusion may appear in the multi-disciplinary communication of SNs participants which in turn may lead to performance anomalies. To deal with such a problem, we propose a novel framework of bi-dimensional (business vs technical) performance metric indicators built on the basis of a systems thinking mindset. By using our framework, a holistic picture of the multiple dimensions and structure of SNs is provided, so that the interdisciplinary service participants have a correct understanding of the service scope and required resources in operation. Moreover, and most importantly, it provides a way to examine the performance traceability of the services within a SN. View full abstract»

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    Industry regulation's effect on the enterprise performance: From the Evidence of CPL

    Yi Yang ; Yan-duo Lin ; De-long Wang
    Management Science and Engineering (ICMSE), 2012 International Conference on

    DOI: 10.1109/ICMSE.2012.6414402
    Publication Year: 2012 , Page(s): 1705 - 1712

    IEEE Conference Publications

    In the context of petroleum industry regulation policy and constantly change of enterprise external environment, transmission mechanism of industry regulation's effect on petroleum enterprise is taken as an entry point. Based on the financial indicators which are commonly used in enterprise performance evaluation, evaluation index system of petroleum enterprise is constructed combined with nonfinancial indicators which transmission mechanism reflects, and the key index factors are filtered by using the principal component analysis method. The enterprise performance under industry regulation is evaluated by using the related data of CPL enterprise in the period from 2002 to 2007. Research shows that financial performance presents volatility in the short term, yet in the long term, enterprise core ability will be promoted. The result indicates that industry regulation affects the level of enterprise performance by the direct transmitting of enterprise behavior and indirectly transmitting of market structure. View full abstract»

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    TrendFocus: Visualization of trends in financial news with indicator sets

    Yik-Wai Ng ; Huamin Qu
    Big Data and Smart Computing (BIGCOMP), 2014 International Conference on

    DOI: 10.1109/BIGCOMP.2014.6741396
    Publication Year: 2014 , Page(s): 7 - 12

    IEEE Conference Publications

    Although many current visualization approaches to time-series data can show a good general trend of a topic or theme over time, most cannot help people gain a deeper understanding of key issues. They may illustrate how some key issues come up and disappear from time to time, but they typically provide limited information about relationships of interest. Financial and economic analysts are often interested in how financial or economic performance indicators interplay or change over time. With a set of well-defined and commonly used equations or indicators in the domain of Economics and Finance, we can refine our visualization by keeping track of these variables. In this paper, we make use of a line plot layout to track some of these indicators and leverage word clouds to reveal how these indicators are affected by the changes in social and economic environments. View full abstract»

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    Exploiting Multiple-Antenna Diversity for Shared Secret Key Generation in Wireless Networks

    Kai Zeng ; Wu, D. ; An Chan ; Mohapatra, P.
    INFOCOM, 2010 Proceedings IEEE

    DOI: 10.1109/INFCOM.2010.5462004
    Publication Year: 2010 , Page(s): 1 - 9
    Cited by:  Papers (23)

    IEEE Conference Publications

    Generating a secret key between two parties by extracting the shared randomness in the wireless fading channel is an emerging area of research. Previous works focus mainly on single-antenna systems. Multiple-antenna devices have the potential to provide more randomness for key generation than single-antenna ones. However, the performance of key generation using multiple-antenna devices in a real environment remains unknown. Different from the previous theoretical work on multiple-antenna key generation, we propose and implement a shared secret key generation protocol, Multiple-Antenna KEy generator (MAKE) using off-the-shelf 802.11n multiple-antenna devices. We also conduct extensive experiments and analysis in real indoor and outdoor mobile environments. Using the shared randomness extracted from measured Received Signal Strength Indicator (RSSI) to generate keys, our experimental results show that using laptops with three antennas, MAKE can increase the bit generation rate by more than four times over single-antenna systems. Our experiments validate the effectiveness of using multi-level quantization when there is enough mutual information in the channel. Our results also show the trade-off between bit generation rate and bit agreement ratio when using multi-level quantization. We further find that even if an eavesdropper has multiple antennas, she cannot gain much more information about the legitimate channel. View full abstract»

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    Exploiting Channel Diversity in Secret Key Generation From Multipath Fading Randomness

    Yanpei Liu ; Draper, S.C. ; Sayeed, A.M.
    Information Forensics and Security, IEEE Transactions on

    Volume: 7 , Issue: 5
    DOI: 10.1109/TIFS.2012.2206385
    Publication Year: 2012 , Page(s): 1484 - 1497
    Cited by:  Papers (5)

    IEEE Journals & Magazines

    We design and analyze a method to extract secret keys from the randomness inherent to wireless channels. We study a channel model for a multipath wireless channel and exploit the channel diversity in generating secret key bits. We compare the key extraction methods based both on entire channel state information (CSI) and on single channel parameter such as the received signal strength indicators (RSSI). Due to the reduction in the degree-of-freedom when going from CSI to RSSI, the rate of key extraction based on CSI is far higher than that based on RSSI. This suggests that exploiting channel diversity and making CSI information available to higher layers would greatly benefit the secret key generation. We propose a key generation system based on low-density parity-check (LDPC) codes and describe the design and performance of two systems: one based on binary LDPC codes and the other (useful at higher signal-to-noise ratios) based on four-ary LDPC codes. View full abstract»

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    A performance system based on the balanced scorecard approach for measuring performance in a business environment

    Vardangalos, G. ; Pantelis, A.
    Computers and Communications, 2000. Proceedings. ISCC 2000. Fifth IEEE Symposium on

    DOI: 10.1109/ISCC.2000.860642
    Publication Year: 2000 , Page(s): 220 - 224
    Cited by:  Papers (2)

    IEEE Conference Publications

    Businesses today are succeeding and growing by better understanding their customers' needs and aligning their operational processes that effectively service the customers. They are creating work processes and methods that are well linked and well operated. Utilizing a system of performance measures, they also are focusing on non-financial indicators to take advantage of key internal and external opportunities and responding to them swiftly. Beyond incremental gains, they are realizing dramatic gains in the critical areas affecting customer satisfaction, cycle time, cost, responsiveness and quality. This paper provides the reader with the architectural design and a detailed technical specification of the performance system. The proposed platform enables the implementation of performance systems on top of preexisting, already running, information and workflow systems that support the daily business of the enterprise. The performance system is a Web-based application that covers the functions needed to create a performance data mall, measurement tools and associated visual interfaces. It is developed using the Microsoft Active Server Pages technology. The data mall is implemented in an MS Set Server 7.0, which is accessed through Active Data Objects (ADO) 2.1 View full abstract»

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    Business tendency statistics: A leading indicator in Malaysia business outlook

    bin Muhamed, K.
    Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on

    DOI: 10.1109/ICSSBE.2012.6396587
    Publication Year: 2012 , Page(s): 1 - 5

    IEEE Conference Publications

    Business tendency survey indicators are widely recognized as a key instrument for business cycle forecasting. Results from business tendency surveys are often used to construct leading indicators in business economy in Malaysia. The Business Tendency Survey is conducted quarterly by the Department of Statistics, Malaysia since 2004. The survey gathers views on business performance from the senior management of large establishments in the various sectors in Malaysia. The main characteristic of this survey is to collect information on the direction of change for a number of key economic variables. The objective of this survey is to collect qualitative information from business managers on their assessment of the business performance for the past quarter and the expectations for the next three and six months. The information from this survey is very useful for monitoring the current economic situation. The survey also provides quick qualitative indicators for important economic variables, for which no quantitative information is available. The rapid execution and easy processing of results provide advance warning of turning points in the overall activity. View full abstract»

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    Investigating, Modeling, and Ranking Interface Complexity of Web Services on the World Wide Web

    Xiaoyi Lu ; Jian Lin ; Yongqiang Zou ; Juan Peng ; Xingwu Liu ; Li Zha
    Services (SERVICES-1), 2010 6th World Congress on

    DOI: 10.1109/SERVICES.2010.58
    Publication Year: 2010 , Page(s): 375 - 382

    IEEE Conference Publications

    Analyzing factors of affecting Web Service invocation performance is a hot topic. Among the factors, service interface complexity is a key one investigated by much research work. However, these researches mainly analyze the impact on the performance of primitives, some simple data structures like mesh interface object, or array of them. For the complex data structures, these works lack of a systematic approach to characterize the impact. This paper firstly makes a detailed statistics of service interface complexity based on a large sample space (10K+ WSDL files) on the World Wide Web, and we find about 41.6% services contain complex data structures. The statistic results guide us to conduct many experiments for finding out the correlation of service interface complexity to invocation performance. We discover an interesting feature on commonly used Web Service platforms (Axis/gSOAP/.Net), called Data Structural Form Unaware. As each parameter or return value can be represented as a tree with two kinds of nodes, structure type node and primitive type node, then the feature means that the overhead caused by parameters or return values is independent of the organization of nodes in the trees, but it is only related with the number and the type of nodes. By this feature, we present a simple model to quantify the impact of service interface complexity. Using our model, a Service Interface Performance Vector can be calculated by parsing a WSDL file to estimate the overhead of service interface design. This vector, together with the invocation probability of each operation, generates the Service Interface Performance Score, a comprehensive complexity indicator which can be used to evaluate and rank the service interfaces. At last, a rank report of services on the WWW is shown. Our work can play a guiding role in service interface designing, service interface performance predicting, and ranking. View full abstract»

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    Mining Individual Performance Indicators in Collaborative Development Using Software Repositories

    Shen Zhang ; Yongji Wang ; Junchao Xiao
    Software Engineering Conference, 2008. APSEC '08. 15th Asia-Pacific

    DOI: 10.1109/APSEC.2008.12
    Publication Year: 2008 , Page(s): 247 - 254
    Cited by:  Papers (1)

    IEEE Conference Publications

    A better understanding of the individual developers├é┬┐ performance has been shown to result in benefits such as improved project estimation accuracy and enhanced software quality assurance. However, new challenges of distinguishing the individual activities involved in software evolution arise when considering collaborative development environments. Since software repositories such as version control systems (VCS) and bug tracking systems (BTS) are available for most software projects and hold a detailed and rich record of the historical development information, this paper presents our experiences mining individual performance indicators in collaborative development environments by using these repositories. The base of our key idea is to identify the complexity metrics (in the code base) and field defects (from bug tracking system) at individual-level by incorporating the historical data from version control system. We also remotely measure and analyze these indicators mined from a libre project jEdit, which involves around one hundred developer. The results show that these indicators are feasible and instructive in the understanding of the individual performance. View full abstract»

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    The research on the human-machine interface performance evaluation system for cannon

    Liu Min-xia ; Xue Qing ; Jiao Li
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on

    DOI: 10.1109/IEEM.2010.5674359
    Publication Year: 2010 , Page(s): 2460 - 2464

    IEEE Conference Publications

    Performance evaluation of cannon human-machine interface is the key step during development and use of cannon. The establishment of performance evaluation indicators system is important to ensure scientific and rational performance evaluation. Considering the features of cannon human-machine interface, this paper analyzed the factors that impacted the interactive effectiveness, and then established the evaluation indicators system and the evaluation model. Through analysis and comparison, the fuzzy comprehensive evaluation method was chosen to be the evaluation method, and its specific steps were shown. In addition, take one type cannon human-machine interface as an example to evaluate. The evaluated results were back to the designers so as to be the reference of improving interface. The evaluation indicators system can also be applied to other weapons system evaluation. View full abstract»

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    Evaluating and Improving Wireless Local Area Networks performance

    Soungalo, T. ; Li Renfa ; Zeng Fanzi
    Information Sciences and Interaction Sciences (ICIS), 2010 3rd International Conference on

    DOI: 10.1109/ICICIS.2010.5534802
    Publication Year: 2010 , Page(s): 367 - 372

    IEEE Conference Publications

    A Wireless Local Area Network (WLAN) is a type of Local Area Network (LAN) that uses high frequency radio waves rather than wires to communicate and transmit data [1]. It is a flexible data communication system implemented as an extension to or as an alternative for, a wired LAN. It provides large companies the option to connect the current wired networks to the wireless network without any problems and gives user the option to use any kind of applications regardless of its source or vendors [2]. As data sharing is sometimes slow or worst slowness due to the performance of the WLAN which is a key factor in spreading and usage of such technologies. Hence it is necessary to identify the quality of the wireless connection and how to improve the communication through the WLAN. Therefore, in this paper, Evaluating and Improving Wireless LANs Performance has been proposed to address mains parameters as Wireless LAN performance indicators and then to propose some methods to improve the performance of WLAN connection via OPNET Modeler 9.1., an advanced network simulator. View full abstract»

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    A performance evaluation model for cooperation and exchange projects of NSFC

    Duan Qingfeng ; Wang Xuefeng ; Zhu Donghua
    Future Information Technology and Management Engineering (FITME), 2010 International Conference on

    Volume: 1
    DOI: 10.1109/FITME.2010.5655817
    Publication Year: 2010 , Page(s): 516 - 519

    IEEE Conference Publications

    Cooperation and exchange activities have become indispensable part of R&D, and performance of it is also concerned by many scientists and managers. A logic model of performance evaluation oriented to R&D projects with cooperation and exchange was discussed by focusing on International Cooperation and Exchange (ICE) projects in National Science Foundation of China (NSFC). After features of ICE projects were introduced, performance mechanism of ICE projects was analyzed. Moreover, framework of performance evaluation was specially highlighted from four dimensions based on discussion of general process of these R&D activities, and related key issues and major indicators were presented as well. View full abstract»

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    Using big data to improve customer experience and business performance

    Spiess, J. ; T'Joens, Y. ; Dragnea, R. ; Spencer, P. ; Philippart, L.
    Bell Labs Technical Journal

    Volume: 18 , Issue: 4
    DOI: 10.1002/bltj.21642
    Publication Year: 2014 , Page(s): 3 - 17

    Alcatel-Lucent Journal

    In an environment where communications service providers (CSPs) increasingly have the same service offers and devices, offering a superior customer experience is a priority to compete. Solutions that have the ability to highlight what really matters in driving customer satisfaction and deliver actionable insights from their wide-reaching customer, network, and service data are key differentiators for CSPs. This paper explores ways of integrating big data insights with automated and assisted processes related to key customer touchpoints to ultimately improve the customer experience. We show how innovation from Alcatel-Lucent and Bell Labs helps CSPs improve their business performance, using unique methodology designed to select the right key quality indicators, build accurate key business objective “formula,” predict customer behavior, and ultimately understand which factors are influencing the most. This can be used for example to improve the Net Promoter Score (NPS). The net result is a happier customer and a higher customer value. View full abstract»

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    Analysis and realization of IPTV service quality

    Erman, Bilgehan ; Matthews, Elissa P.
    Bell Labs Technical Journal

    Volume: 12 , Issue: 4
    DOI: 10.1002/bltj.20276
    Publication Year: 2008 , Page(s): 195 - 212

    Alcatel-Lucent Journal

    Digital television (TV) service over Internet Protocol (IP) networks is becoming a crucial element in a network provider's portfolio. However, the limitations of the existing communication networks and the complexity of the service impose many operational, performance, and scalability barriers. Analytic discussion of service quality is non-trivial because of the system complexity as well as the subjective nature of video quality assessment. This paper provides an analysis of IP video service quality metrics with a primary focus on the need for correlation of viewer perception with network performance and operation. It gives a top-down impact analysis from the user's perspective and then categorizes a set of key quality indicators (KQIs). The paper further describes a computational model, called the video quality analyzer, which both verifies and augments the top-down analysis with a bottom-up experimental realization of the KQI definitions and a refinement of the theoretical results. The discussion addresses a set of techniques for measuring video quality with respect to network performance indicators, network configuration, digital video attributes, and video content. View full abstract»

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    Measurement-based optimizing algorithm for modulation and coding scheme selection in downlink LTE self-organizing networks

    Jiamo Jiang ; Mugen Peng ; Yuan Li ; Yao Wei
    Wireless Information Technology and Systems (ICWITS), 2012 IEEE International Conference on

    DOI: 10.1109/ICWITS.2012.6417722
    Publication Year: 2012 , Page(s): 1 - 4

    IEEE Conference Publications

    The traditional wireless network management becomes no longer efficient because of the new features and technologies in the next generation radio access network. The main purpose of self-organizing network (SON) is to meet new technical requirements, simplify wireless network design and operation, and implement the self-configuration, self-optimization and self-healing of the network. Adaptive modulation and coding (AMC) is one of the key technologies of link adaptation in TD-LTE system to achieve high spectral efficiency on the fading channels. A key factor to determine the performance of AMC is the threshold values of MCS applied at eNode B, which decides the suitable MCS selection in the next transmission time interval (TTl). Unsuitable MCS selection will impair the system performance seriously. An improved threshold adjustment to precisely guarantee the predetermined frame error rate for AMC was proposed. A novel signal-to-noise ratio (SNR) estimation algorithm which reduces computational complexity in obtaining channel quality indictor (CQI) and corresponding MCS was investigated. None of these took fully into account of the feedback and periodic performance measurement simultaneously, and the interference was not considered. Meanwhile, eNode B can't obtain the value of signal to interference plus noise ratio (SINR) directly. In this paper, a measurementbased optimizing algorithm (MBOA) for modulation and coding schemes (MCS) selection to determine an appropriate MCS for initial transmission is proposed. Differing from the traditional algorithm which selects the MCS only by channel quality indicator (CQI) feedback, the proposed algorithm can adjust the threshold values of MCS according to the performance measurements and CQI feedback, including fast and independent adjustment (FIA) and slow and centralized adjustment (SCA). FIA optimizes the threshold values by the initial transmission success ratio (ITSR). Then SCA changes threshold values by the measurement- of average cell throughput and the block error rate (BLER). It is shown from the system level simulation results that MBOA yields higher average cell throughput and transmission success ratio compared with the traditional algorithm. View full abstract»

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    Pedagogical potentials of IEEE 802.11 WLAN to higher educational institutions: A case study of Nigerian based University

    Hassan, I.M. ; Khan, H.U. ; Zeitun, R. ; Mardini, G.
    Semantic Computing (ICSC), 2015 IEEE International Conference on

    DOI: 10.1109/ICOSC.2015.7050799
    Publication Year: 2015 , Page(s): 165 - 166

    IEEE Conference Publications

    The research on `Pedagogical potentials of IEEE 802.11 WLAN to Nigerian based University' is an in depth study to evaluate the potentials of its implementation to the entire teaching and tutoring vertical in Nigerian universities. While conducting this research study, the campus did not have the facility of Wireless internet service. Researchers are to provide the WLAN-Wireless local area network service to support the communication protocol limiting to shorter distances within a definite range with aid of infrared signals and radio networks. For this study, data collection is made over two periods, i.e., first, at the time of launching WLAN in order to gain an overview of the academic performance of the students and in the second instance, after providing the training to use WLAN, at the end of the semester. This study is conducted over a period equivalent to one semester. The objective of this is to identify any improvements in the performance of the students and the teaching staff after the completion of the training. The key performance indicator `Academic outcome / Performance of students and attitude of faculty' on wireless internet in the campus is captured through the study and relevant statistical tools and techniques are applied to the data. The ascent in the academic outcome of students and the performance of the faculty is evident for the benefit of WLAN technology. This paper will cover the literature review and basic model of possible relationship between depend and independent variables of the research in detail. View full abstract»

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    Causality Analysis of IT Capabilities to Achieve Maximum Business Outcomes

    Nianjun Zhou ; Nitta, S. ; Mohindra, A.
    Services Computing (SCC), 2014 IEEE International Conference on

    DOI: 10.1109/SCC.2014.101
    Publication Year: 2014 , Page(s): 741 - 748

    IEEE Conference Publications

    Outcome-based business (OBB) is a business model that directly links a service provider's revenue or fee to the business value delivered by enabled services to the client. Its financial construct allows for a shared risk and reward model. Using OBB model, the service provider earns its revenue upon meeting mutually agreed benchmarks that affect these key client business outcomes. An OBB engagement typically requires establishing a long-term relationship with the client and reduces the risk for the client during the business transformation. A key component of an OBB business model is its ability to determine the impact of a particular IT solution on the performance of client financial and operational metrics. We outline a systematic method to enable us to do so. We begin with a process to identify gaps in the client's financial or operational performance. Then, we identify the business drivers that can improve those gaps. Next, we map the prioritized business drivers to the underlying IT capabilities that impact these drivers, creating a causal relationship chart called a service value map. Based on the causal relationship between the IT capabilities and the prioritized business drivers, we identify the priorities of the IT capabilities for gap improvement. In the second part of the analysis, we assume that each high level business driver can be measured by a metric (key performance indicator). With the help of a heuristic approach, we estimate the change of the metric over time using the service value map. This is accomplished by: 1) creating two baselines that define the bounds of the metric, and 2) using a maturity analysis to quantify the impact of the IT capabilities over time. View full abstract»

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    Determinants of student performance in advanced programming course

    Chen, Y.Y. ; Mohd Taib, S. ; Che Nordin, C.S.
    Internet Technology And Secured Transactions, 2012 International Conference for

    Publication Year: 2012 , Page(s): 304 - 307

    IEEE Conference Publications

    Educators often monitor students' performance in class to make students aware of their weaknesses. Analysis on the relationship between educational settings and student performance can be useful in predicting student performance in a class. In addition, this analysis is able to help identifying the key indicators that may affect the students' final grade. In this paper, we present the initial work on the development of a predictive model that can predict student performance in a class to assist lecturers in improving student's learning process. We identified the predictor variables that can be used in our predictive model. The predictor variables of this model are based on attributes from different educational settings such as coursework marks, psychosocial factors and Course Management System (CMS) log data. These variables are collected from an advanced programming course in an institute of higher learning in Malaysia. This study provides a theoretical model that shows how data from different educational settings can contribute in the prediction of student's final grade. The results indicate that coursework marks has the most significant positive relationship with the student's final grade followed by total number of materials downloaded from CMS. View full abstract»

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    Characteristic updating-normalisation dynamics of a self-organising neural network for enhanced combinatorial optimisation

    Kwok, T. ; Smith, K.A.
    Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on

    Volume: 3
    DOI: 10.1109/ICONIP.2002.1202801
    Publication Year: 2002 , Page(s): 1146 - 1152 vol.3

    IEEE Conference Publications

    The optimisation performance of a self-organising neural network with weight normalisation (SONN-WN) is computationally studied in this paper. The SONN-WN is applied to solve the constraint satisfaction problem (CSP) of N-queen, and performance indicators such as feasibility and efficiency are measured in the key parameter space of the Kohonen learning rate β and normalisation temperature T. The measurements reveal regions of high optimisation ability associated with certain β and T combinations, indicating the close coupling of the Kohonen learning and normalisation mechanisms towards effective optimisation. The complex interaction of the two mechanisms is studied by numerically investigating the nonlinear dynamics of a simplified model of the updating-normalisation process. By combining the performance measurements of the SONN-WN with the dynamical study of the simplified model, a range of characteristic convergence dynamics have been identified with the SONN-WN for enhanced optimisation performance. View full abstract»

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    Performance measurement of the U.S.'s service management and its enlightment to China: Examples from the transportation service subsidy of the United States

    Yi-zhong, Fu
    E -Business and E -Government (ICEE), 2011 International Conference on

    DOI: 10.1109/ICEBEG.2011.5884516
    Publication Year: 2011 , Page(s): 1 - 7

    IEEE Conference Publications

    The service subsidy has become vital for all the countries through service sectors development. In this article, the author firstly designed a framework of service subsidies for government decision-making according to the definition of the service subsidy and its functional features. Then, a detailed explanation of three tiers of performance evaluation indicators (such as key indicators, referential indicators, etc) was elaborated. With the DEA approach, the article then evaluated the performance of the direct expenditures subsidies received by the transportation sectors of the U.S. The result indicated that the service subsidy worked well m the transport sector in the U.S despite of some flaws and the future subsidy should be adjusted accordingly. As the matter to China, the author suggested that the monitoring and supervising is necessary during we grant service subsidies, which might help to optimize the effect of such policy and minimize the possible negative impact. Meanwhile, we should track the tendency of the international rules of service subsidy when we formulate such policy, in case that the domestic policy cause some negative effect over the other countries through trade and rise trade disputes. View full abstract»

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    Research on the key technique of continuous rotary electro-hydraulic servo motor

    Xiaojing Wang ; Jianying Li ; Junpeng Shao
    Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

    Volume: 3
    DOI: 10.1109/EMEIT.2011.6023374
    Publication Year: 2011 , Page(s): 1658 - 1661

    IEEE Conference Publications

    The low speed performance is the most important indicators of the continuous rotary electro-hydraulic servo motor. The factors which influence the low speed performance consist of nonlinear characteristics such as structural pulsation, friction and leakage characteristic, oil distributing technique, pressure pulsation, servo valve's distinguish ability and so on. In order to improve the low speed performance, the key technique of servo motor was studied. It is analyzed that velocity pulsation and torque pulsation was eliminated in the structure, the structure of blade and oil distributing plate was optimized for improving leakage and oil distributing characteristic, and friction torque was compensated in order to reducing the pulsation. These results can resolve the basic technique problem of the low speed performance and lay foundation for studying electro-hydraulic servo motor. View full abstract»

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    Evaluating high-performance computing based on relative productivity indicator

    Jie Wang ; Yu Zeng ; Huiying Lv ; Yun Lin
    Natural Computation (ICNC), 2013 Ninth International Conference on

    DOI: 10.1109/ICNC.2013.6818277
    Publication Year: 2013 , Page(s): 1809 - 1813

    IEEE Conference Publications

    Effective high-performance computing evaluation can promote the development of high-performance cluster systems tremendously. In this paper, we propose a reasonable and easy mechanism named RPI (relative productivity indicator) to evaluate high-performance cluster systems. RPI considers many factors comprehensively, such as system purchasing cost, operation cost, performance of key application, difficulty of programming and the complexity of management. RPI avoids the problem of different dimension of various parameters caused by direct measurement effectively. We also use a real high-performance cluster Dawning 5000A to prove the effectiveness of the RPI. View full abstract»

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    Analytical estimation of vector access performance in parallel memory architectures

    Harper, D.T. ; Costa, Y.
    Computers, IEEE Transactions on

    Volume: 42 , Issue: 5
    DOI: 10.1109/12.223682
    Publication Year: 1993 , Page(s): 616 - 624
    Cited by:  Papers (4)

    IEEE Journals & Magazines

    A limiting factor in high-performance vector computers is the rate at which data can be moved to and from memory during vector loads and stores. To increase the bandwidth of vector memory operations, several investigators have proposed the use of noninterleaved storage mappings, also known as storage schemes. A method of analyzing the performance of vector references for the class of storage schemes referred to as XOR schemes is described. The proposed measure of relative performance, the variability of an access, is defined and its computation is outlined. The use of variability as a performance indicator is demonstrated and compared with performance measurements made using simulation. One of the key aspects of the variability measure is its capability to lend insight to the transient behavior of vector accesses View full abstract»

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    Quality improvement of on-job-training: Using DEA method

    Chien-Che Huang ; Menz-Ru Huang ; Shu-Hsuan Chang ; Ruei-Guo Chung
    Computer Communication Control and Automation (3CA), 2010 International Symposium on

    Volume: 2
    DOI: 10.1109/3CA.2010.5533349
    Publication Year: 2010 , Page(s): 455 - 458

    IEEE Conference Publications

    The purpose of this study was to measure the performance of on-the-job training of different companies by combining Data Envelopment Analysis (DEA) to the training performance indictors in Taiwan Training Quality System (TTQS), unifies into a set of assessment system to evaluate the training performance. The data used are collected from 210 companies provided by the database of Bureau of Employment and Vocational Training (BEVT) in Taiwan. Results from this study show that the key indicators can be effectively found by using the proposed approach. In addition, Slack Variable Analysis was made in order to find solutions to improve the efficiency of training resources, in order to suggest the ways to improve the training performance. View full abstract»

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    Research on the Evaluation of Enterprises Knowledge Chain Performance Based on D-S Theory

    Ding Yong ; Liang Chang-yong ; Jiang Cui-Qing
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on

    Volume: 2
    DOI: 10.1109/FSKD.2007.479
    Publication Year: 2007 , Page(s): 482 - 486
    Cited by:  Papers (2)

    IEEE Conference Publications

    Evaluation of knowledge chain performance is very helpful for enterprises finding out the key factors that restrain the enhancing of performance, and taking effective measures to improve their innovation ability. This paper, which covers from creating customer value, knowledge acquisition, knowledge sharing and transmission, knowledge innovation, to knowledge stocks and knowledge management platform, analyses the main factors of knowledge chain performance and establishes an indicator system about knowledge chain performance. Based on the system, an evidential reasoning method to evaluate knowledge chain performance is proposed and arithmetic steps for evidential reasoning are presented. At the last part of the paper, an example is given to illustrate that this method is effective and practicable. View full abstract»

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    Strategic Assessment of Alternative Design Options for Multivoltage-Level Distribution Networks

    Chin Kim Gan ; Pudjianto, D. ; Djapic, P. ; Strbac, G.
    Power Systems, IEEE Transactions on

    Volume: 29 , Issue: 3
    DOI: 10.1109/TPWRS.2013.2290103
    Publication Year: 2014 , Page(s): 1261 - 1269

    IEEE Journals & Magazines

    This paper presents a methodology for assessing the performance of alternative design strategies for multivoltage-level distribution networks. The key feature of the proposed methodology is its ability to reproduce realistic network topologies and lengths, as calibrated against real distribution networks. Through year-round power flow analysis and optimization processes, the proposed approach allows comprehensive network studies to be carried out for the decision makers to investigate the sensitivity to different parameters and to draw more robust conclusions than those reached through a specific network study. The output metrics used for comparison of network performance are overall network cost, network losses, and reliability, which represent the three most crucial network performance indicators in network design. The validity of the developed models was demonstrated through the investigation of alternative distribution network design for a real medium voltage (MV) network in the U.K. This investigation includes quantitative performance evaluation and comparison between a four-voltage-levels design (e.g., 132 kV/33 kV/11 kV or 6.6 kV/0.4 kV) with three-voltage-levels network arrangements (e.g., 132 kV/11 kV/0.4 kV or 132 kV/20 kV/0.4 kV) and comparison between the peak demand-driven network design versus the optimal loss inclusive network design. View full abstract»

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