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检索条件"机构=Intelligent Systems Laboratory Department of Computer Science and Software Engineering"

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System design and implementation of social interactive robot Nancy

System design and implementation of social interactive robot...

引用

International Conference on Information sciences and Interaction sciences (ICIS)

作者： Shuzhi Sam Ge Chun Fui Liew Yanan Li Institute of Intelligent Systems University of Electronic Science and Technology Chengdu China Social Robotics Laboratory Interactive Digital Media Institute and Department of Electrical and Computer Engineering National University of Singapore Singapore Social Robotics Laboratory Interactive Digital Media Institute and NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore

This paper presents a social interactive robot Nancy that has been developed in Social Robotics laboratory, National University of Singapore. Fundamentally different from factory robots, Nancy's design focuses on social interaction and social intelligent system. The design objectives and consideration are examined in the beginning, followed by the description of hardware and software architectures. Contrast to current existing social robots, Nancy has a graphical user interface (GUI), which acts as an additional channel for human-robot interaction. This GUI helps users to have a better understanding of Nancy's internal states and hence make users feel more comfortable during the interaction with Nancy. Visitors' interaction experience with Nancy is discussed together with Nancy's social skills.

关键词： Robots Graphical user interfaces Servomotors Speech Universal Serial Bus Face Hardware

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Gaussian Mixture PHD Smoother for Jump Markov Models in Multiple Maneuvering Targets Tracking

Gaussian Mixture PHD Smoother for Jump Markov Models in Mult...

引用

2011 American Control Conference (ACC)

作者： Wenling Li Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University Beijing China Key Laboratory of Mathematics Informatics and Behavioral Semantics (LMIB) Ministry of Education SMSS Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper presents a Gaussian mixture probability hypothesis density (GM-PHD) smoother for tracking multiple maneuvering targets that follow jump Markov models. Unlike the generalization of the multiple model GM-PHD filters, our aim is to approximate the dynamics of the linear Gaussian jump Markov system (LGJMS) by a best-fitting Gaussian (BFG) distribution so that the GM-PHD smoother can be carried out with respect to an approximated linear Gaussian system. Our approach is inspired by the recognition that the BFG approximation provides an accurate performance measure for the LGJMS. Furthermore, the multiple model estimation is avoided and less computational cost is required. The effectiveness of the proposed smoother is verified with a numerical simulation.

关键词： Target tracking Approximation methods Markov processes Covariance matrix Smoothing methods Radar tracking Computational efficiency

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Adaptive Iterative Learning Control for Uncertain Delay systems Based on Model Matching Technique

Adaptive Iterative Learning Control for Uncertain Delay Syst...

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2011 American Control Conference (ACC)

作者： Haixia Su Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University Beijing China Key Laboratory of Mathematics Informatics and Behavioral Semantics (LMIB) Ministry of Education SMSS Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

In this paper, an adaptive iterative learning control (ILC) scheme is proposed for trajectory tracking of uncertain delay systems based on model matching technique. The reference model is a delay system operating over in a finite time interval. An iterative model matching controller is designed and an iteration domain adaptive law is chosen to estimate the unknown parameters. It shows that the model matching technique can be applied in a straightforward method to ILC problem. A simulation example is included to illustrate the designed scheme.

关键词： Adaptation models Polynomials Adaptive systems Delay effects Delay systems

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Design of a Robot Cloud Center

Design of a Robot Cloud Center

引用

International Symposium on Autonomous Decentralized systems (ISADAS)

作者： Zhihui Du Weiqiang Yang Yinong Chen Xin Sun Xiaoying Wang Chen Xu Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing China School of Software and Microelectronics Peking University Beijing China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA International School Beijing University of Posts and Telecommunications Beijing China

Service-oriented architecture and cloud computing have become the prevalent computing paradigm. In this paradigm, computing resources can be accessed like other utility services available in today's society. In the meantime, robotics applications are joining the trend. More and more robot applications are shifting from manufacture to non-manufacture and service industries. However, for the on-demand supply of the large-scale heterogeneous robots, It is still a problem have not yet been studied, including the fundamental management and efficiency issues in using of these resources. In this paper, we design a framework of "Robot Cloud Center" (RCC) following the general cloud computing paradigm to address the current limitations in capacity and versatility of robotic applications. In this framework, a robot can be provided as a service just like a public utility service so that everyone can access the powerful robotic services easily, efficiently, and cheaply. Based on a given scenario, a robot scheduling algorithm in RCC is proposed to take advantage of the heterogeneous robot resources to meet the end user's requirement with the minimum cost.

关键词： Service robots computer architecture Service oriented architecture Hardware Cloud computing Computational modeling

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An optical artificial nose system for odor classifications based on LED arrays

An optical artificial nose system for odor classifications b...

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International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Sumana Kladsomboon Mario Lutz Tawee Pongfay Teerakiat Kerdcharoen Department of Physics and Center of Nanoscience Faculty of Science Mahidol University Bangkok Thailand Materials Science and Engineering Programme Center of Intelligent Materials and Systems (CIMS) Mahidol University Bangkok Thailand Nanoelectronics and MEMS Laboratory National Electronics and Computer Technology Center (NECTEC) 112 Thailand Science Park Pahol Yothin Rd. Pathumthani 12120 Thailand National Nanotechnology Center Mahidol University Thailand

Optical electronic nose (olfactory sensing) technologies have recently become a convenient technique to identify the quality of food and beverage products based on the odor classification. In this paper, we reported an optical-based electronic nose system consisting of thin-film sensing materials, array of light emitting diode (LED), photo-detector and pattern recognition program. The organic mixtures thin film gas sensor was prepared by spin coating of Zinc-2,9,16,23- tetra-tert-butyl 29H,31H-phthalocyanine (ZnTTBPc), Zinc-5,10,15,20-tetra-phenyl-21H,23H-porphyrin (ZnTPP) and manganese(III) 5, 10, 15, 20-tetraphenyl-21H,23H-porphyrin chloride (MnTPPCI) onto a clean glass substrate. The electronic nose system was developed by using the low-cost LED array as a light source. Then the light intensity that is transmitted through the organic thin film during the experiment was detected by the color light to frequency converter device (photo-detector). The ability of this system was tested by using volatile organic compound (VOCs) vapors such as methanol, ethanol, and isopropanol. Principal component analysis (PCA) has been used as the pattern recognition for this electronic nose system. The result confirms that the sensing layer that composed of the three types of organic compounds described the groups of chemical vapors by using the array of LED.

关键词： Photonics Optical variables measurement Optical sensors Methanol

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Application of clickstream analysis as Web page importance metric in parallel crawlers

Application of clickstream analysis as Web page importance m...

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2010 International Symposium on Information Technology, ITSim'10

作者： Selamat, Ali Ahmadi-Abkenari, Fatemeh Intelligent Software Engineering Laboratory Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia

ISBN: (纸本)9781424467181

Employing a parallel crawler as a multi processes crawler causes different issues of concern in comparison to applying a single-process crawler. These issues impact on achieving the results with higher or even the same quality from a parallel crawler in comparison to a centralized one. Existed parallel crawlers' architectures employ link dependant metrics -such as Backlink count or PageRank - for URL importance determination in order to prioritize the queue of each process. Then the specific number of the most important pages is sent to the index section of the crawler for further processing on their content. Application of metrics with link dependent nature causes considerable overhead on the overall parallel crawler resulted from the link information exchange among different processes. In this paper we propose the application of clickstream analysis as a link independent Web page importance metric in a parallel crawler. Our approach includes proposing an algorithm for a balanced performance of different processes within a parallel crawler which results in the discovery of higher quality pages by the overall parallel crawler with less overhead in comparison to a centralized crawler which employs link dependant metrics of importance. © 2010 IEEE.

关键词： Web crawler

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Modified relevance feedback for content based image retrieval using support machine

Modified relevance feedback for content based image retrieva...

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15th International Symposium on Artificial Life and Robotics, AROB '10

作者： Lim, Pei-Geok Selamat, Ali Intelligent Software Engineering Laboratory Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia

ISBN: (纸本)9784990288044

The rapid growth of the computer technologies and the advent of World Wide Web have increased the amount and the complexity of multimedia information. Content-based image retrieval (CBIR) system has been developed as an efficient image retrieval tool whereby user can provide their query to the system to allow it to retrieve the user's desired image from image database. However, the traditional relevance feedback of CBIR has some limitations that decrease the performance of the CBIR system that are the imbalance of training set problem, classification problem, limited information from user problem, and insufficient training set problem. Therefore, in this paper we propose a modified relevant feedback method to support the user query and user profiles based on the weight ranking of the image retrieved. The Support Vector Machine (SVM) has been used to support the learning process in order to reduce the semantic gap between user and the CBIR system. From the experiments, the proposed learning method has enabled the users to improve their search results based on the precision and accuracy. © 2010 ISAROB.

关键词： Support vector machines

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Vigilance analysis based on continuous wavelet transform of EEG signals

Vigilance analysis based on continuous wavelet transform of ...

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2010 International Conference on Biomedical engineering and computer science, ICBECS 2010

作者： Ouyang, Tian Lu, Hong-Tao MOE-MS Key Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781424453153

Electroencephalography (EEG) is considered a reliable indicator of a person's vigilance level. In this paper, we use EEG recordings to discriminate three vigilance states of a person, namely alert, drowsy, and sleep, while driving a car in a simulation environment. The proposed framework explores the use of continuous wavelet transform in EEG signal processing. A large set of features is extracted from the wavelet coefficients, which are computed from EEG signals with multiple wavelet functions. We use random forest to rank the plenty of features and select the most important ones for later classification. Samples of EEG data are then trained and classified by SVM (Support Vector Machine). On datasets acquired from 5 subjects, our method reveals high classification accuracy (over 96%). ©2010 IEEE.

关键词： Electroencephalography

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Estimate vigilance level in driving simulation based on sparse representation

Estimate vigilance level in driving simulation based on spar...

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International Conference on Machine Learning and Cybernetics

作者： Liu, Hong-Jun Yu, Hong-Bin Ren, Qing-Sheng Lu, Hong-Tao Department of Computer Science and Engineering MOE-Microsoft Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424465262

Avoiding fatal accidents caused by low vigilance level in driving is very important in our daily lives. Electroencephalography(EEG) has been proved very effective for measuring the level of vigilance. In this paper, we distinguish vigilance level into three classes which are 'alert', 'fatigue' and 'sleeping' by using sparse representation classification(SRC). Six features from each frequency band are got from samples of EEG data. Random feature is used to reduce the dimension of features. Actually there is almost no training process before the classification. The accuracy in classification of three classes reaches about 90 % on average. © 2010 IEEE.

关键词： Electroencephalography

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A simple password less authentication system for web sites

A simple password less authentication system for web sites

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7th International Conference on Information Technology - New Generations, ITNG 2010

作者： Sælensminde, Kirit Boonjing, Veera Software Systems Engineering Laboratory Department of Computer Science King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand

ISBN: (纸本)9780769539843

Many web sites have features that are only accessible after registering a user account on them. These sites include forums, on-line games, corporate Intranets and many on-line shops. The sites are typically secured through a system whereby a user chooses both a unique user name and a password that will be used to authenticate them. An alternative system proposed here is more convenient for users, and in many cases more secure by removing the requirement for the user to choose or remember a password. © 2010 IEEE.

关键词： Websites

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