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System Science and Engineering (ICSSE), 2011 International Conference on

Date 8-10 June 2011

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Displaying Results 1 - 25 of 137
  • [Front cover]

    Publication Year: 2011 , Page(s): c1
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  • [Title page]

    Publication Year: 2011 , Page(s): 1
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  • [Copyright notice]

    Publication Year: 2011 , Page(s): 1
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  • Table of contents

    Publication Year: 2011 , Page(s): I - XII
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  • Enhanced converged IP client system design by using theory of inventive problem solving

    Publication Year: 2011 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (237 KB) |  | HTML iconHTML  

    This paper deals with the practical approach of technology enhancement in mobile industry by using technology innovation tools. Converged IP Messaging (CPM) is new reusable building blocks to be able to create a variety of interpersonal, interactive, multimedia communication services that run on top of an IMS networks. In addition, the most practical technology innovation tool that have been originally designed by Genrich Altshuller is applied. TRIZ (Teoriya Resheniya Izobretatelskikh Zadatch) that is also called TIPS (Theory of Inventive Problem Solving) is a methodology and model-based technology for generating innovative ideas and solutions for problem solving. Enhanced CPM client is the alternative client implementation to avoid the complexity of the system. Unlike general CPM client, the enhanced client can be implemented on not only IMS networks but also legacy networks. View full abstract»

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  • An evaluation method of remedy effects for anti-dumping based on ENCME model

    Publication Year: 2011 , Page(s): 5 - 10
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (206 KB) |  | HTML iconHTML  

    With the investigating authority start to evaluate effects of Anti-dumping in our country, people find that evaluating remedy effects is not a piece of cake. Because of the complexity of the problem, there is no rational method at present. To solve the problem, a model called ENCME is constructed in this paper. As well, through using this model, we find a feasible method to evaluate remedy effects, and use this method in one real case. View full abstract»

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  • Integration of FEA and EMA techniques for percussion instrument design analysis

    Publication Year: 2011 , Page(s): 11 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (817 KB) |  | HTML iconHTML  

    Percussion instruments are frequently used in musical performance. The percussion sound radiation characteristics are strongly related to structural vibration modes. This paper presents the approach of virtual testing (VT) by the integration of finite element analysis (FEA) and experimental modal analysis (EMA) techniques for the design analysis of several types of percussion instruments. First, the procedure for model verification is introduced and shown the basic principle for validating the finite element model by adopting FEA software and performing EMA. The sound spectrum of percussion instrument can then be measured to identify the most contributed structural modes and compared with those modal parameters obtained from FEA and EMA. Three types of percussion instruments, including a xylophone bar, a metallophone plate and a gong, are shown to demonstrate the idea of VT for the redesign of new type of percussion instruments. This paper shows how the structural modal properties affecting the radiated sound of percussion instruments and reveals the philosophy for geometry modification to achieve the target designs of percussion instruments. View full abstract»

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  • Reversed stagnation-point flow: Numerical simulation and asymptotic solution

    Publication Year: 2011 , Page(s): 17 - 22
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (296 KB) |  | HTML iconHTML  

    Numerical simulation of two-dimensional reversed stagnation-point flow will be studied by solving the full Navier-Stokes equations with computational fluid dynamics (CFD) software of STAR-CD and results are compared with those obtained from the similarity asymptotic solution. Velocity distribution in inner region which is near the wall as well as outer region which is away form the wall is investigated for four different aspect ratios. View full abstract»

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  • A wheel-switch chaotic system for image encryption

    Publication Year: 2011 , Page(s): 23 - 27
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3257 KB) |  | HTML iconHTML  

    Because of high sensitivity for initial values and random-like behaviors, chaotic systems are widely used in image encryption. Conventionally, encryption keys for these image encryption methods based chaotic systems are limited to manipulate the initial values or parameters of the chaotic system. However, effective attacks are found to crack encryption systems by using prior information about the system chaotic map. In this paper, we introduce a wheel-switch chaotic system for image encryption. The used chaotic map is not fixed but changeable via the wheel-switch structure according to the controlling sequence. Further, a substitution and permutation network based image encryption algorithm using the wheel-switch chaotic system is also provided. Experimental results showed that the proposed system with the key schedule inherits the random-like property of single chaotic system with additional security level from the wheel-switch structure. The same idea is also applicable to secure communication, and data encryption for other multimedia. View full abstract»

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  • Towards the integration of Enterprise Service Bus with UDDI server: A case study

    Publication Year: 2011 , Page(s): 28 - 31
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (236 KB) |  | HTML iconHTML  

    Enterprise Service Bus (ESB) supports services communication to integrate diverse heterogeneous applications in Service Oriented Architecture (SOA). Services composition and invocation in ESB is implemented by message transmitting and routing actually. However, current ESB framework only support static service routing, and messages can only be sent to the specified destination configured in service routing files. Besides, it is difficult to manage these services provided by applications in distributed heterogeneous environment. This paper presents a new approach by integrating ESB with UDDI Server to enable dynamic service routing. Using this approach, services can be selected and invoked at runtime. Moreover, UDDI Server can facilitate the operation of services running in ESB. The integration case based on open source ESB and UDDI implementation, i.e., Mule and jUDDI, also shows this approach is feasible. View full abstract»

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  • A load balancing scheme for web server design

    Publication Year: 2011 , Page(s): 32 - 36
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (398 KB) |  | HTML iconHTML  

    In this study, we propose a novel server load balancing scheme. Server load balancing is known to be a critical mechanism in network-based information service. Most of existing schemes don't take servers' loadings into account, which might fail to make the loadings of all servers evenly and drive the server system to work on the brink of being over-loaded and/or out of function. The proposed scheme aims at preventing the occurrence of malfunction and saving the power consumption of the server system under a low loading while providing a better performance in response time. All connection requests are firstly distributed into one server until a pre-specified portion of its maximum allowed serving load is achieved. The following requests are then served by another server in the same way. The experimental results demonstrate the feasibility of the proposed scheme. View full abstract»

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  • Gearbox fault diagnosis based on artificial neural network and genetic algorithms

    Publication Year: 2011 , Page(s): 37 - 42
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (292 KB) |  | HTML iconHTML  

    System maintenance for reliable running of key machinery is critical to many industries, where condition monitoring and fault diagnosis is important supporting technology. This paper selects a typical component in rotating machinery, the gearbox, as the target to study a proper monitoring and fault diagnosis method to prevent malfunction and failure. The failure is divided into two levels. One is at the component level that includes various gear faults, and another is at system level that studies machinery statuses include looseness, misalignment and unbalance. A prototype system is built for experiment. Two intelligent methods include artificial neural network (ANN) and genetic algorithms (GAs) are combined to carry out signal classification and analysis. ANNs are one of the common machine learning technologies that used for detecting and diagnosing faults in rotating machinery. To look for a feasible combined solution, this paper tests the effect of back-propagation (BP) network and GAs are used in this paper for selecting the significant input features in a large set of possible features in machine condition monitoring with vibration signals. Considering the performance of machine learning system are hard to predict, and the quality of input signal is a major factor affecting the performance of training and learning of the system itself. Signal preprocessing is executed through feature extraction by wavelet packet transforms (WPT) technology and time domains statistical analysis to generate statistic variables for analysis. With an aim to identify a proper diagnosis approach, the effect of BP network and GAs are verified with case studies. View full abstract»

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  • Systematic design of environmental monitoring interface by Bayesian classification

    Publication Year: 2011 , Page(s): 43 - 48
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (487 KB) |  | HTML iconHTML  

    Conventional interface design leaves little room for users to autonomously arrange icons or choose contents to be displayed on the screen. Recently, with the touch equipments on the rise, they provide users a brand new experience of intuitive and convenient operational styles. In this paper six factors, 5W and 1H, are used to automatically allocate interesting environmental quality monitoring factors on the screen. Besides, grey models are constructed to predict the future variations of environmental indices. The proposed system not only allows users to have freedom in selecting and allocating factors on the screen but also provides them useful information about environmental quality variations of the surroundings. View full abstract»

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  • On-road speed sign recognition using fuzzy kernel-based learning vector quantization

    Publication Year: 2011 , Page(s): 49 - 54
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (570 KB) |  | HTML iconHTML  

    This paper presents an automatic speed sign recognition for providing the visual driving-assistance of speed limits awareness. To reduce the influence of digital noise caused by lighting condition and pollution, a segmentation based on pan-red color information is applied to extract the shape of speed sign. Based on the edge gradient information of a circle shape, a radially symmetry detection strategy is proposed for fast detecting the speed sign candidate from road scenes. The recognition of the content of speed sign is achieved through the fuzzy kernel-based learning vector quantization (FKLVQ) which also verifies each candidate to eliminate non-target blobs. Results show the feasibility and effectiveness of the proposed system under a wide variety of visual conditions. View full abstract»

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  • Human face age estimation with adaptive hybrid features

    Publication Year: 2011 , Page(s): 55 - 58
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (428 KB) |  | HTML iconHTML  

    This paper presents an appearance-based human face age estimation scheme. The age estimation has become an important study in recently several years. The main issue of the aging process is that it varies across various people, and which makes the age estimation rather challenge. This study combines the shape feature, texture feature, and frequency feature using Active Shape Model (ASM), Radon transform, and Discrete Cosine Transform (DCT) to establish robust adaptive hybrid features for further classification. In estimation stage, the SVM is employed for the proposed hierarchical classification framework and the SVR is also involved for regression. As documented in the experimental results, the proposed method can provide superior performance than former state-of-the-art methods in terms of the MAE with the FG-NET database. View full abstract»

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  • Attribute weight entropy regularization in fuzzy C-means algorithm for feature selection

    Publication Year: 2011 , Page(s): 59 - 64
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (227 KB) |  | HTML iconHTML  

    In many applications, a cluster structure in a given dataset is often confined to a subset of features rather than the entire feature set. One of the main problems is how to make use of all the features effectively and adequately to discover structures. By using weighted dissimilarity measure and adding weight entropy regularization term to the objective function, a novel fuzzy c-means algorithm is developed for clustering and feature selection. It can automatically calculate the weights of all attributes in each cluster, and simultaneously minimizes the within cluster dispersion and maximizes the attribute weight entropy to stimulate attributes to contribute to the identification of clusters. Experiments on real world datasets show the effectiveness of this algorithm compared with other well known clustering algorithms. View full abstract»

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  • A stand alone super capacitor charging system using a feed forward boost converter

    Publication Year: 2011 , Page(s): 65 - 69
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (713 KB) |  | HTML iconHTML  

    The paper presents a standalone super capacitor charging system. It contains a self starting, self powering circuit and a feed forward boost converter. The system does not use batteries or have a connection to a main utility power. It constitutes a true standalone low maintenance and pollution free system. The system contains a main storage device and a secondary energy storage device, both of which connect to an ambient energy source such as solar, wind power or vibration power etc. directly. The secondary storage device is used to power the system electronics (i.e. the charger), and the main storage is only used to supply energy to the external applications which are powered by the main storage device. During the starting phase, the secondary storage device is charged to the system operating voltage, at which point, the self powering circuit starts and the charging process begins. Additionally, a feed forward boost converter charging scheme is presented in this paper. This proposed methodology eliminates the need to use voltage feedback, or current feedback, resulting a simpler design compared with a traditional feedback scheme. View full abstract»

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  • Real-time recognition of moving direction of a target object based on historical trajectories

    Publication Year: 2011 , Page(s): 70 - 75
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1187 KB) |  | HTML iconHTML  

    This paper presents an effective algorithm to identify moving direction of an object in images based on historical trajectories of the moving object. By continuously acquiring images, temporal differencing is performed to detect the moving object followed by median filtering to reduce noises in the images. After that, opening operation is adopted to remove small objects lacking momentum in the binary image and strengthen the surrounding thickness of those with sufficient momentum. Historical trajectories can therefore be constructed by decreasing the momentum of the binary images as time elapsed based on established rules to decide the moving direction of objects. View full abstract»

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  • 3D object model recovery from 2D images utilizing corner detection

    Publication Year: 2011 , Page(s): 76 - 81
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (624 KB) |  | HTML iconHTML  

    This research proposes a method to reconstruct the 3D object model from 2D images. The reconstruction theorem this research used is based on the stereo vision algorithm. Stereo vision is one type of the non-contact scanning measurement. The theorem of the stereo vision were simulates the human's eyes to calculate the object's depth information. There for, this research uses two CCD Cameras to capture the object's 2D images. Then find out the match points from the left and right two images. To reconstruct the object's 3D model by using the match points, parameters of the CCD Cameras and transform matrix that between the world coordinate and camera coordinate. The object this research reconstructed belongs to simple geometry. There for, we can reconstruct the object's 3D model by the feature points of the object. The feature points always appear on edges and vertices. In this way we can reduce the number of the points we should reconstruct, so the system can build up the object's 3D model fast. The CCD Cameras unable to capture the whole object's surface information in once time, so this research proposes a method that rotates the object to solve this problem. The system combines the rotation model with the reconstruction system to reconstruct the complete object's 3D model. View full abstract»

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  • The design of isotherm face recognition technique based on nostril localization

    Publication Year: 2011 , Page(s): 82 - 86
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (474 KB) |  | HTML iconHTML  

    In this paper, the researchers propose a new approach to identify the physiological thermal infrared image characteristics. First, using color segmentation algorithm to extract the face from the background. Then out of the nose by the dynamic temperature changes, through the nostrils to locate and formalize the length and width of the face image. The hair, glasses, nose and beard neither conducive to the stability of recognition. In this study, the range will be below the nostrils as the regional scope of face recognition. And divide the thermal image into five temperature layers. Finally, the use of statistical methods is to identify the temperature layer of the feature points. The results can also be found in the capture of different faces, and the resulting physical characteristics are not the same. The researchers successfully used this feature for thermal imaging of human face recognition. The proposed identification method is feasible by the field-proven, and the identification of cross-match success rate is 95.6%. View full abstract»

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  • Hardware/software co-design of particle filter and its application in object tracking

    Publication Year: 2011 , Page(s): 87 - 91
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (252 KB) |  | HTML iconHTML  

    This paper presents a hardware/software co-design method for particle filter based on System On Program Chip (SOPC) technique. Considering both the execution speed and design flexibility, we use a NIOS II processor to calculate weight for each particle and a hardware accelerator to update particles. As a result, execution efficiency of the proposed hardware/software co-design method of particle filter is significantly improved while maintaining design flexibility for various applications. To demonstrate the performance of the proposed approach, a real-time object tracking system is established and presented in this paper. Experimental results have demonstrated the proposed method have satisfactory results in real-time tracking of objects in video sequences. View full abstract»

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  • PSO-based intelligent digital redesign of T-S fuzzy controller

    Publication Year: 2011 , Page(s): 92 - 95
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (230 KB) |  | HTML iconHTML  

    In this paper, a novel method is proposed to solve the complex mathematical model of digital redesign of nonlinear systems which is regarded difficult to approximate. The paper uses the T-S fuzzy model and particle swarm optimization (PSO) to search for the range of digital-controller parameters and to obtain the optimized digital controller using this algorithm. Due to the difficulty in establishing the discrete model of the interval system and designing the digital controller of the interval system, we have formulated the design problem into an optimization problem of a cost function. First, we process the continuous-time nonlinear systems using the T-S fuzzy model, followed by designing a continuous-time controller using individual rules. The next step is to express all possible linear systems as interval systems and search for the range of digital-controller parameters using PSO to narrow down the search range and conveniently search for the optimal solutions. According to the search range of digital controller parameters, the PSO is used to search for the discrete-time controller based on individual rules, so that the states of the discrete-time model based on the fuzzy model approximate to those of the continuous-time nonlinear systems. Finally, one example is given to prove this method is more accurate than the existing one with faster execution speed. View full abstract»

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  • A simple Web-Based Expert System for a supplier assessment: A case of a JIT production environments

    Publication Year: 2011 , Page(s): 96 - 100
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (218 KB) |  | HTML iconHTML  

    The objective of this study was to develop a simple Web-Based Expert System for supplier evaluation of a specific well-known automotive company practicing JIT. The main methodology was a knowledge acquisition by interviewing experts, a knowledge presentation in terms of IF-THEN and a Web-Based Expert System development. As a result, the rule-based decision system in forms of tree diagrams was developed to assess six basic aspects which are safety, quality, cost, delivery, engineering and management. Then a simple Web-Based Expert System was created by using two main computer programs. There are Adobe Dreamweaver for creating PHP web pages which allow to interactive information interchange between a user and a server and also between web pages and a database, and phpMyAdmin for generating a MySQL database and Apache for testing the developed Expert System. The proposed simple Web-Based Expert System was validated by applying it in a real case. The result showed that evaluating by the proposed Expert System and by an expert gave the same results. The proposed tool has potential to use as a decision tool for evaluating suppliers; however, it still needs a future validation with more cases. In addition, expert decision is regularly hard to measure with precise numerical data. So for the future study, fuzzy set theory will be integrated in a proposed Web-Based Expert System. View full abstract»

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  • Dynamic uncertain linguistic weighted harmonic mean operators applied to decision making

    Publication Year: 2011 , Page(s): 101 - 106
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (212 KB) |  | HTML iconHTML  

    The dynamic multiple attribute decision making problems with uncertain linguistic information are investigated. A new aggregation operator called uncertain dynamic linguistic weighted harmonic mean (UDLWHM) operator is presented. Based on the UDLWHM and uncertain linguistic weighed harmonic mean (ULWHM) operators, we develop a procedure to solve the we develop an approach to the dynamic linguistic multiple attribute decision making problems under interval uncertainty where all decision information about attribute values takes the form of uncertain linguistic variables collected at different periods. Finally, an illustrative numerical example is given. View full abstract»

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  • Improved finite-frequency H analysis method and filter synthesis for discrete-time polytopic systems

    Publication Year: 2011 , Page(s): 107 - 112
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (260 KB) |  | HTML iconHTML  

    This paper extends the existing results on the finite-frequency H filtering problem for discrete-time linear systems with polytopic uncertainty. New analysis conditions for estimating H gain of transfer functions with known parameters over finite frequency ranges are derived based on the generalized Kalman-Yakubovich-Popov (GKYP) lemma and the projection lemma. The derived conditions are non-conservative in that they become necessary and sufficient when strictly proper transfer functions are considered. The synthesis result is a finite-frequency counterpart of that addressed by Duan et al. Automatica, 42, 1919-1926 (2006) in full-frequency domain, with a distinction that system stability and performance are guaranteed in separate conditions. The proposed approach introduces slack variables which provide extra degree of freedom in the solution space for the finite-frequency H filtering problem. This leads to performance improvement and reduction of conservativeness in the solution. Two examples are given for demonstration of the efficacy of the new analysis conditions and the proposed synthesis method. View full abstract»

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