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Developments in eSystems Engineering (DESE), 2009 Second International Conference on

Date 14-16 Dec. 2009

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Displaying Results 1 - 25 of 80
  • [Front cover]

    Publication Year: 2009 , Page(s): C1
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  • [Title page i]

    Publication Year: 2009 , Page(s): i
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  • [Title page iii]

    Publication Year: 2009 , Page(s): iii
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  • [Copyright notice]

    Publication Year: 2009 , Page(s): iv
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  • Table of contents

    Publication Year: 2009 , Page(s): v - x
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  • Preface

    Publication Year: 2009 , Page(s): xi - xii
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  • Organising Committee

    Publication Year: 2009 , Page(s): xiii
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  • list-reviewer

    Publication Year: 2009 , Page(s): xiv - xv
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  • Welfare Maximization in Nonconvex Rate Utility Problem of Multimedia e-Communication Systems

    Publication Year: 2009 , Page(s): 3 - 11
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (641 KB) |  | HTML iconHTML  

    The coexistence of multimedia services in e-communication systems, with varying bandwidth utilization characteristics, impedes the efficiency of rate control and thereby impacts on the Quality of Service (QoS), in terms of low throughput. As such, the rate control for multimedia flows remains an open problem. This paper proposes a memetic optimization approach to rate allocation of multiclass services where the objective is to maximize the aggregate utility of heterogeneous sources over their transmission rates. The link and sources are viewed as processors of distributed computation and the control mechanism is derived as a hybrid Particle Swarm Optimization (PSO) and Sequential Quadratic Programming (SQP) algorithm, with the objective of achieving fast convergence as well as accuracy. We demonstrate the efficiency of the proposed rate allocation, in terms maintaining QoS for multiclass services, and validate its scalability and accuracy for large scale flows. View full abstract»

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  • How In-Silico Experiments Can Help Drug-Discovery: The Glutamatergic Synapse as an Example of Application

    Publication Year: 2009 , Page(s): 12 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (519 KB) |  | HTML iconHTML  

    This work aims to show on a very concrete example that simulations (In-Silico experiments) can help drug discovery process and therapeutic strategies search. Such an approach must be based, to reflect the complexity of physiological systems, on a modeling methodology taking into account several organization levels and time scales, and focused on physiological functions and their interactions. First, we present shortly a modeling framework built on top of a physiological systems theory. Then, we apply this approach to model the memory induction at synaptic level where the described system includes some cellular and molecular mechanisms. Finally we propose an application of ¿in silico¿ experiments in order to exhibit some synergistic effects of biochemical mechanisms and to suggest new combinatorial therapeutics. View full abstract»

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  • Direct Torque Control Strategy for a Variable Speed Wind Energy Conversion System Associated to a Flywheel Energy Storage System

    Publication Year: 2009 , Page(s): 17 - 22
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (495 KB) |  | HTML iconHTML  

    In this paper, we present a variable speed wind induction generator associated to a flywheel energy storage system. Direct torque control strategy for an induction generator used in the flywheel energy storage system, is applied. Both rotor flux and DC bus voltage are regulated by the applied of the standard switching table for an operation in the 4 quadrants. This system is used for improving the quality of the electric power delivered by the wind generator. The proposed system with DTC control strategy is validated through simulations. The obtained results are presented and discussed. View full abstract»

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  • Modeling and Simulation of a Photovoltaic System Using Fuzzy Logic Controller

    Publication Year: 2009 , Page(s): 23 - 28
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (456 KB) |  | HTML iconHTML  

    The output power induced in the photovoltaic modules depends on solar radiation and temperature of the solar cells. Therefore, to maximize the efficiency of the renewable energy system, it is necessary to track the maximum power point of the PV array. This paper proposes a new method of maximum power point tracking using fuzzy logic for photovoltaic system. It uses a sampling measure of the PV array power and voltage then determines an optimal increment required to have the optimal operating voltage which permits maximum power tracking. This method carries high accuracy around the optimum point when compared to the conventional perturbation and observation algorithm then it assures fast and fine tracking. The system is composed a solar panel, a DC/DC converter, batteries storage and resistive load. A simulation study is presented under variable weather conditions. The obtained results are presented and discussed. View full abstract»

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  • Decision Support Systems (DSS) Model for the Housing Industry

    Publication Year: 2009 , Page(s): 29 - 37
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (537 KB) |  | HTML iconHTML  

    The housing industry in the developing world and for long time has suffered from underinvestment, the lack of know how and the lack of sufficient strategies and policies. This in turn, led to a total failure in performance, accumulative massive housing demand and underachieving. Consequently, and because of the massive growth in the world's population, especially the Islamic World, people in the poorest countries have been the most affected and forced to live in slums and shanty towns which some worldwide have millions of occupants. This research paper presents a scientific approach to assist governments and decision makers in the Islamic World setting up most sufficient and effective strategies and policies on the mega-level (country level) for the housing industry. The final outcome of this research will produce a decision support system model (DSS) which could be used by decision makers to setting up holistic, realistic and achievable strategies and policies based on the scientific interpretation of the interface of the DSS model. The DSS model operates using five engines and one interface to identify, calculate and compare between financial sources (government, PFI, International Fund and Grants) and total cost of several variables such as, know how (local and foreign), labour (local and foreign), training (local PM and skilled labour), building materials (local and import), land (urban and rural). This in turn gives a clear idea to governments on their financial sources, the total cost of the whole housing project, regulation and legislations necessary and required to facilitate and support the housing industry, etc. The research methodology will consist of two parts; literature review which shed light on DSS model in terms of definition, stages, purposes, mechanism, how it functions, etc. The second will introduce interpretive structural model (ISM), which is used previously in a different stage of research to identify and prioritise housing industry variable- s and DSS model. Finally, the DSS model will be examined and tested using different scenarios for validation. The findings will be stated in the concluding section. View full abstract»

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  • Trust Models Analysis for the Semantic Web

    Publication Year: 2009 , Page(s): 38 - 46
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (426 KB) |  | HTML iconHTML  

    Trust is major concern in ecommerce, ebanking, ebusiness, etc. Providing a clear trust model helps researchers, developers, and consumers in their own way to achieve their goals more efficiently. Last layer in the Semantic Web Structure is dedicated to trust to deal with uncertainty. In this paper a trust models for the Semantic Web is proposed. Experimental results are presented to demonstrate the effectiveness of the proposed approach. View full abstract»

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  • A Novel Hybrid QoS Multicast Routing Based on Clonal Selection and Artificial Fish Swarm Algorithm

    Publication Year: 2009 , Page(s): 47 - 52
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (430 KB) |  | HTML iconHTML  

    The paper presents a QoS multicast routing algorithm based on clonal selection and artificial fish swarm algorithms (CSA-AFSA). The hybrid algorithms reasonably use the superiorities of both algorithms and try to overcome their inherent drawbacks. An improved initialization method is used to make sure each individual in initial population is a reasonable multicast tree without loops. The simulation carried out with different network scale. For performance comparison, ant colony optimization (ACO) algorithm and genetic algorithm (GA) also been tested. The results have demonstrated the hybrid algorithm has high speed of convergence and searching capability to solve QoS multicast routing effectively. View full abstract»

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  • Designing Context-Awareness into Decision Support Systems for e-Collaboration

    Publication Year: 2009 , Page(s): 53 - 58
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (355 KB) |  | HTML iconHTML  

    A number of approaches have been developed for designing decision support systems for group work. However, emerging forms of dynamic and agile working patterns involving collaborations among mobile and cross-geographical individuals mean that group decision support systems should take into consideration the role and effect of context-awareness. This paper discusses the key challenges posed to systems design for e-collaborative work from the perspective of context-aware decision support. The paper argues that new systems design approaches are required to handle new decision support issues in emerging models of e-collaboration, and proposes a new approach for the design of context-aware decision support systems for e-collaboration in healthcare delivery. View full abstract»

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  • The Evaluation of Facilities Intelligence: An ANP-Driven Approach

    Publication Year: 2009 , Page(s): 59 - 65
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (719 KB) |  | HTML iconHTML  

    This paper presents a novel method for evaluating facilities in regard to their designed intelligence. Facilities intelligence is defined as the designed capacity of a facility to acquire and process data and information to perform its adaptability to life-cycle circumstance changes in terms of people's requirements of well-being and energy efficiency. This definition is then formulated to quantify the Index of Facilities Intelligence, the level of facilities intelligence, and the reliability of facilities evaluation. STEEP (social, technical, economic, environmental, and policy) criteria and their sub-criteria are used to set up an ANP (analytic network process) model, and ANP result such as synthesized priority weights is then used to calculate those parameters related to facilities intelligence. An experimental case study is given to prove the effectiveness of applying the proposed method to evaluate the intelligence of facilities in practice. View full abstract»

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  • The Effect of Phasor Measurement Units on the Accuracy of the Network Estimated Variables

    Publication Year: 2009 , Page(s): 66 - 71
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1141 KB) |  | HTML iconHTML  

    The most commonly used weighted least square state estimator in power industry is nonlinear and formulated by using conventional measurements such as line flow and injection measurements. PMUs (Phasor Measurement Units) are gradually adding them to improve the state estimation process. In this paper the way of corporation the PMU data to the conventional measurements and a linear formulation of the state estimation using only PMU measured data are investigated. Six cases are tested while gradually increasing the number of PMUs which are added to the measurement set and the effect of PMUs on the accuracy of variables are illustrated and compared by applying them on IEEE 14, 30 test systems. View full abstract»

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  • Performance Enhancement of OFDM System in Indoor Wireless Channels Using Loading Algorithm

    Publication Year: 2009 , Page(s): 72 - 76
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (430 KB) |  | HTML iconHTML  

    In this paper, we consider a simple loading algorithm for Orthogonal Frequency Division Multiplexing systems in WLAN for signal spectrum optimization. The algorithm is based on the margin adaptive loading criterion and its performance over 5GHz indoor wireless channels. View full abstract»

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  • Layered Space-Time Codes in Wireless Communications Channels – System Design and Performance Analysis

    Publication Year: 2009 , Page(s): 77 - 83
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (522 KB) |  | HTML iconHTML  

    The objective of this paper is to simulate numerically the wireless channel and the V-BLAST architecture to compare the performance of these systems using linear nulling and symbol cancellation along linear nulling for a zero forcing and a minimum mean-squared error receiver. We will also compare the performance of V-BLAST and the successive cancellation receiver against the QR decomposition as an approximation of vertical bell laboratories layered space-time, trying to develop a less calculation intensive algorithm. The simulation will compute the frame error rate in both cases for different values of SNR in a flat fading channel. The transmitted symbols will be modulated using a QPSK constellation with 4 transmitters and 6 receivers. The results will be compared to those measured in the laboratory of the optimum V-BLAST. View full abstract»

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  • Error Concealment of EVRC Speech Decoder Using Residual Redundancy

    Publication Year: 2009 , Page(s): 84 - 88
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (382 KB) |  | HTML iconHTML  

    In digital mobile communication systems, speech coding is very important to increase the bandwidth efficiency. Usually, speech coding algorithms determine speech parameters, which are highly sensitive to transmission errors. In this paper, we use the residual redundancy remaining after using the Enhanced Variable Rate Codec (EVRC) algorithm for error concealment. Average residual redundancies of the quantized parameters are exploited in the error concealment process as a priori knowledge of the source. The simulation results show that the use of error concealment improves the parameter SNRs of these parameters, especially for Pitch delay, Delta delay and Fixed Codebook (FCB) gain. The results also show that the more redundancy exists in the encoded parameter, the more improvement we could obtain by using the error concealment scheme. View full abstract»

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  • Estimation Based Distributed QoS Pricing and Scheduling for Elastic Internet Services

    Publication Year: 2009 , Page(s): 89 - 98
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (802 KB) |  | HTML iconHTML  

    We present a State Estimation based Internet traffic flow control system where the objective is to maximize the aggregate bandwidth utility of network sources over their transmission rates. The network links and sources are viewed as processors of distributed computation and the control mechanism is based on estimation and optimization framework to solve the dual problem. The novelty of our approach is that it allows network sources to estimate link bandwidth prices, based on the network state, rather than depending on the continuous price feedback from the network links. This is primarily to reduce the computational and communicational overhead of the routing process and to enable efficient resource allocation. The estimation framework also serves as network Management System to control hardware malfunctions, improves network monitoring and eliminates anomalies, such as measurement noise another discrepancies between network system models that typically leads to poor network performance. The approach is validated using two case studies in congestion and rate control which demonstrate favorable results in terms of enhanced data delivery with fewer packet losses and retransmissions. Moreover, our improved optimization framework in turn improves on network stability and responsiveness by allowing reduced buffer occupancy over congested links, which further enables low packet loss and low service delays. View full abstract»

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  • Probabilistic Neural Network for Breast Biopsy Classification

    Publication Year: 2009 , Page(s): 101 - 106
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (419 KB) |  | HTML iconHTML  

    This paper presents the classification of benign and malignant breast tumor based on fine needle aspiration cytology (FNAC) and probabilistic neural network (PNN). Five hundred and sixty nine sets of cell nuclei characteristics obtained by applying image analysis techniques to microscopic slides of FNAC samples of breast biopsy have been used in this study. These data were obtained from the University of Wisconsin Hospitals, Madison. The dataset consist of thirty features which represent the input layer to the PNN. The PNN will classify the input features into benign and malignant. The sensitivity, specificity and accuracy were found to be equal 97.5%, 92.5% and 96.2% respectively. It can be concluded that PNN gives fast and accurate classification and it works as promising tool for classification of breast cell nuclei. View full abstract»

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  • A Hybrid Image Compression Method and Its Application to Medical Images

    Publication Year: 2009 , Page(s): 107 - 112
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (779 KB) |  | HTML iconHTML  

    A hybrid lossy image compression technique using classified vector quantiser and singular value decomposition is presented for the efficient representation of medical magnetic resonance-brain images. The proposed method is called hybrid classified vector quantisation. It involves a simple yet efficient classifier based gradient method in the spatial domain which employs only one threshold to determine the class of the input image block, and uses three AC coefficients of the discrete cosine transform coefficients to determine the orientation of the block without employing any threshold that results in high fidelity medical compressed images. Singular value decomposition was used to generate the classified codebooks. The proposed technique was benchmarked with JPEG-2000 standard. Simulation results indicate that the proposed approach can reconstruct high visual quality images with higher peak signal-to noise-ratio than the benchmarked technique and also meet the legal requirement of medical images archiving. View full abstract»

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  • Real Time Monitoring and Detection of Alcohol Using Microwave Sensor Technology

    Publication Year: 2009 , Page(s): 113 - 116
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1039 KB) |  | HTML iconHTML  

    The detection of ethanol in water/ethanol mixtures has been tested using an electromagnetic wave non-invasive sensor operating at frequencies ranging from 1G HZ to 10 GHz (microwave frequency domain) and using very low power <1 mW. The sensor is composed by a tuned cavity operating in reflection mode (S11 parameter). The cavity has a standard WG9A size and is working in the TE10 mode. The tests have been realized using samples of water/ethanol mixtures going from 0% ethanol (pure water) until 100% ethanol. Every sample alcohol concentration is determined by its unique frequency, its magnitude, its phase and depending on the temperature. By looking at these four properties, we would be able to recognize each sample. View full abstract»

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