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System Science and Engineering (ICSSE), 2012 International Conference on

Date June 30 2012-July 2 2012

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Displaying Results 1 - 25 of 126
  • [Front cover]

    Publication Year: 2012, Page(s): c1
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  • [Title page]

    Publication Year: 2012, Page(s): 1
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  • Proceedings 2012 international conference on system science and engineering (icsse) [copyright notice]

    Publication Year: 2012, Page(s): 1
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  • Table of contents

    Publication Year: 2012, Page(s):i - viii
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  • Image-based intelligent attendance logging system

    Publication Year: 2012, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1065 KB) | HTML iconHTML

    This paper proposes an extension of the surveillance camera's function as an intelligent attendance logging system. The system works as a time recorder within two phases; learning phase and monitoring phase. By placing a camera inside a working room, the sytem enters the learning phase by locating the sitting area automatically based on the camera's images. The learning phase has a defined time du... View full abstract»

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  • Intelligent Video Car Recorder systems

    Publication Year: 2012, Page(s):7 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (748 KB) | HTML iconHTML

    Video Car Recorder embedded into intelligent mobile devices is considered in this study. That is, the Lead Management System (LMS) is developed. The features of the LMS include recording instant car traveling screen, displaying the current location map, and capturing the current location data; namely, comprises latitude, longitude, speed, altitude and directional acceleration. Besides, the promine... View full abstract»

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  • On the information transmission ability measurement of neurons via fuzzy method

    Publication Year: 2012, Page(s):13 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (613 KB) | HTML iconHTML

    Information processing is an important characteristic of biological neurons. Here, we proposed a method to measure the information transmission ability of neurons. Due to the nonlinear dynamics of neuron, which is experimentally verified, we have to solve the Hamilton-Jacobi inequalities (HJIs) to get the information transmission ability of neuron. Instead of directly solving HJIs, fuzzy interpola... View full abstract»

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  • Robust back propagation learning algorithm based on near sets

    Publication Year: 2012, Page(s):19 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (354 KB) | HTML iconHTML

    The traditional robust learning algorithms are based on the estimated errors, which is not correct in the early stage of the training process. Therefore, the use of those approaches still cannot provide very decent learning performance in face of outliers unless a set of good initial weights is used. In this paper, a novel approach, termed as NRBP (Near set based Robust Back Propagation learning a... View full abstract»

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  • Driving force analysis of the carrier of the multiple flexible wheeled suspension mobile manipulator

    Publication Year: 2012, Page(s):24 - 29
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (375 KB) | HTML iconHTML

    In this paper, the multiple flexible wheeled suspension mobile manipulator has been carried on research. The elastic deformation of the manipulator and the elastic damping of the wheeled mobile carrier have been synthetically considered. Combined with the constraint equations of the system, the independent coordinate variables and the associated coordinate variables have been extracted for the fir... View full abstract»

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  • Adaptive fuzzy balance controller for two-wheeled robot

    Publication Year: 2012, Page(s):30 - 33
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (516 KB) | HTML iconHTML

    An adaptive fuzzy sliding-mode balance controller (AFSMBC) for a two-wheeled robot is developed in this study. In the proposed balance controller, a novel sliding surface is adopted as the input variable of fuzzy system to outstanding its merit of insensitivity to uncertainties. In the fuzzy membership function, the translation width is utilized to reduce the chattering phenomena. Moreover, consid... View full abstract»

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  • The previous step CMAC for online tuning robust fuzzy controllers

    Publication Year: 2012, Page(s):34 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (409 KB) | HTML iconHTML

    The previous step CMAC for online tuning robust fuzzy controllers is proposed in this paper. There are two processes in the proposed schemes: one is the robust fuzzy controller and the other is the previous step CMAC learning algorithm. The robust fuzzy controller can achieve a certain goal without concern for instability of the controlled system in the presence of significant plant uncertainties,... View full abstract»

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  • Fuzzy based hand-shake compensation for image stabilization

    Publication Year: 2012, Page(s):40 - 44
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (700 KB) | HTML iconHTML

    The paper proposed a way of dealing with optical image stabilization in solving blurring images caused by hand shake. The idea is to determine the hand-shake situation and then to correct blurring image through position compensation. This method directly detects motion signals to distinguish the hand shake situations from normal camera movement. In the process, fuzzy rule mechanism is employed to ... View full abstract»

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  • Radar target classification using intelligent cerebellar model articulation controller

    Publication Year: 2012, Page(s):45 - 49
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (262 KB) | HTML iconHTML

    This paper proposed a radar emitter identification method based on cerebellar model articulation controller(CMAC), the controller inputs are radar emitter's characteristic like radio frequency(RF), pulse repetition interval(PRI) and pulse width(PW) etc. The CMAC has to train to be by training data. After training, input the unknown radar characteristic, the network may appropriately identify the e... View full abstract»

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  • Intelligent space system oriented to the home service robot

    Publication Year: 2012, Page(s):50 - 54
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB) | HTML iconHTML

    Intelligent space technology is applied to robot in order to provide more autonomous, accurate and intelligent home service work in an unknown or semi-unknown dynamic environment. There are some key technologies in the study of Intelligent space, such as: wireless sensor network, information management. In this paper, an intelligent space system oriented to home service robot is constructed; some ... View full abstract»

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  • A new dynamic optimal learning rate for a two-layer neural network

    Publication Year: 2012, Page(s):55 - 59
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (393 KB) | HTML iconHTML

    The learning rate is crucial for the training process of a two-layer neural network (NN). Therefore, many researches have been done to find the optimal learning rate so that maximum error reduction can be achieved in all iterations. However, in this paper, we found that the best learning rate can be further improved. In saying so, we have revised the direction to search for a new dynamic optimal l... View full abstract»

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  • Automatic lumbar motion analysis based on particle filtering

    Publication Year: 2012, Page(s):60 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (275 KB) | HTML iconHTML

    Spinal motion is produced by complex coordination of nerves and muscles and is constrained by vertebral structure. The observation and measurement of lumbar motion is of great value for clinical diagnosis and surgical plan of lumbar disorders. Digitalized Video Fluoroscopy (DVF) is the most suitable one to image the spine motion but it is quite time consuming. This paper proposes an automatic lumb... View full abstract»

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  • Multiple models fusion for pattern classification on noise data

    Publication Year: 2012, Page(s):64 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (323 KB) | HTML iconHTML

    An important characteristic of real-world learning process is that the data frequently contains uncertainties. The uncertainties in the datasets deteriorate the learning process. Hence, to properly represent and handle the uncertainty problem is one of the key issues in the decision learning system. This paper offers a multiple models fusion method to address the uncertainty problem, by conducting... View full abstract»

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  • A new chaotic system for image encryption

    Publication Year: 2012, Page(s):69 - 73
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1890 KB) | HTML iconHTML

    With the increasing demand of providing security for images/videos with private information, chaos-based cryptosystems have played an important role in image encryption because of their excellent random properties and encryption performance. However, existing chaos-based systems have the security defect due to small key space or other security weakness. This paper introduces a new chaotic system u... View full abstract»

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  • Thermal modeling for vehicle battery system: A brief review

    Publication Year: 2012, Page(s):74 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    Thermal management of battery system plays an important role in vehicle industry. An accurate yet time efficient model of the battery system thermal dynamics is essential for design, temperature monitoring and control process. In this paper, a brief review of the advances in thermal modeling of vehicle battery system is given. Based on the review results, the future challenges for vehicle battery ... View full abstract»

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  • Detecting drivable space in traffic scene understanding

    Publication Year: 2012, Page(s):79 - 84
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (667 KB) | HTML iconHTML

    Traffic scene understanding and perception is an important issue for intelligent vehicles and autonomous mobile robots. Especially in dynamic environments, the determination of drivable space and moving obstacles are fundamental requirement for road scene understanding. In this paper, we propose a vision-based approach combining road geometry and color features to percept road and moving obstacles... View full abstract»

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  • Two-degree-of-freedom control using recurrent fuzzy neural networks for a class of nonlinear discrete-time time-delay systems

    Publication Year: 2012, Page(s):85 - 90
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB) | HTML iconHTML

    This paper presents a novel two-degrees-of-freedom control for a class of nonlinear discrete-time time-delay systems. The controller combines a TSK-type recurrent fuzzy neural network (TRFNN) adaptive inverse model feedforward controller with a stochastic adaptive model reference predictive controller (SAMRPC). The former is used to provide command-feedforward control and to improve transient perf... View full abstract»

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  • Prediction of Mammalian microRNA binding sites using Random Forests

    Publication Year: 2012, Page(s):91 - 95
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    In biological systems, microRNAs involve in the regulation of their target genes by degrading the targeted binding mRNAs or by repressing the corresponding protein products. MicroRNAs are shown to play important roles in numerous biological processes, such as disease formation, especially in cancer. Predicting the target binding site of microRNA can help to identify the novel miroRNA target genes.... View full abstract»

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  • Parallel attribute-weighted fuzzy c-means algorithm for clustering

    Publication Year: 2012, Page(s):96 - 101
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (115 KB) | HTML iconHTML

    Due to energy and bandwidth constraints, traditional data clustering approaches are challenging when the communication to a central processing unit is discouraged in Wireless Sensor Networks. In this paper, a new parallel attribute-weighted fuzzy c-means (PWFCM) algorithm is proposed, in which parallel clustering solution can be achieved by exchanging the centroid messages among single-hop neighbo... View full abstract»

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  • Defining transcriptional network by combining expression data with multiple sources of prior knowledge

    Publication Year: 2012, Page(s):102 - 106
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (359 KB) | HTML iconHTML

    Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular processes. In this paper, a transcriptional regulation model is proposed to quantify the transcriptional regulatory network. Multiple quantities, including binding affinity and the activity level of transcription factor (TF) are in... View full abstract»

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  • Optimized set-point model of grinding process based on case-based reasoning method

    Publication Year: 2012, Page(s):107 - 111
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (367 KB) | HTML iconHTML

    The grinding process is a typical complex nonlinear multivariable industrial production system with strongly coupling and large time delays. Based on the technological characteristics and system control requirements, a set-point optimization control strategy based on the case-based reasoning (CBR) method is proposed for obtaining the optimized velocity set-point of ore feed and pump water feed in ... View full abstract»

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