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International IEEE Conference on Intelligent Transportation systems

作者： Raphiphan, Panraphee Prathombutr, Passakon Zaslavsky, Arkady Meesad, Phayung Caulfield School of Information Technology Monash University 900 Dandenong Rd Caulfield East VIC 3145 Australia 112 Thailand Science Park Phahon Yothin Rd Pathumthani 12120 Thailand Department of Computer Science and Electrical Engineering Luleå University of Technology Luleå Sweden Centre for Distributed System and Software Engineering Monash University Australia Department of Teacher Training in Electrical Education Faculty of Technical Education King Mongkut's University of Technology North Bangkok 1518 Pibulsongkram Rd Bangsue Bangkok 10800 Thailand

ISBN: (纸本)9781424476572

Traffic congestion is the cause of pollution and economic loss. The Real time traffic state report can alleviate this problem by assisting drivers for route planning and choosing unblocked roads. More traffic information could lead to more accurate route planning and greater awareness of traffic situations and road conditions for drivers. However, investment into sensor infrastructure for small minor roads is rarely available. In this paper, we present a cost efficient approach to compute real time traffic congestion degrees for non-sensor infrastructure roads, such as small minor roads, based on context fusion and context reasoning method. Our framework intends to utilize real time acquirable context instead of relying on traffic sensory data which made our approach suitable for insufficient sensor infrastructure environment. The evaluation throughout several experimentations conducted in Bangkok has proven the feasibility of our approach. Besides, the experimental result indicated that the methodology of our experiment can be used as an alternative cost efficient tool for infrastructure investment decision making. ©2010 IEEE.

关键词： Traffic congestion

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Modern development of low cost RT industrial process control based on Matlab-Simulink and PAC

Modern development of low cost RT industrial process control...

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Roedunet International Conference (RoEduNet)

作者： Michal Tutsch Petr Konarik Department of Measurement and Control Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Control System and Instrumentation Faculty of Mechanical Engineering VSB-Technical University of Ostrava Ostrava Czech Republic

The paper presents modern advanced development methods of control systems that minimizes the cost of development of applications which are widely applicable in industrial control of whole range of processes.

ISBN: (纸本)9781424473359

关键词： Costs Industrial control Process control computer languages

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Collection of user judgments on spoken dialog system with crowdsourcing

Collection of user judgments on spoken dialog system with cr...

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IEEE Spoken Language Technology Workshop

作者： Zhaojun Yang Baichuan Li Yi Zhu Irwin King Gina Levow Helen Meng Department of System Engineering and Engineering Management Chinese University of Hong Kong Sha Tin Hong Kong China Department of Computer Science and Engineering Chinese University of Hong Kong Sha Tin Hong Kong China Department of Linguistics University of Washington Seattle WA USA

This paper presents an initial attempt at the use of crowd-sourcing for collection of user judgments on spoken dialog systems (SDSs). This is implemented on Amazon Mechanical Turk (MTurk), where a Requester can design a human intelligence task (HIT) to be performed by a large number of Workers efficiently and cost-effectively. We describe a design methodology for two types of HITs - the first targets at fast rating of a large number of dialogs regarding some dimensions of the SDS's performance and the second aims to assess the reliability of Workers on MTurk through the variability in ratings across different Workers. A set of approval rules are also designed to control the quality of ratings from MTurk. At the end of the collection work, user judgments for about 8,000 dialogs rated by around 700Workers are collected in 45 days. We observe reasonable consistency between the manual MTurk ratings and an automatic categorization of dialogs in terms of task completion, which partially verifies the reliability of the approved ratings from MTurk. From the second type of HITs, we also observe moderate inter-rater agreement for ratings in task completion which provides support for the utilization of MTurk as a judgments collection platform. Further research on the exploration of SDS evaluation models could be developed based on the collected corpus.

关键词： Reliability Optimized production technology Manuals Humans Speech recognition Measurement Speech

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Using finite state machines for evaluating spoken dialog systems

Using finite state machines for evaluating spoken dialog sys...

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IEEE Spoken Language Technology Workshop

作者： Yi Zhu Zhaojun Yang Helen Meng Baichuan Li Gina Levow Irwin King Department of Computer Science and Engineering Chinese University of Hong Kong Sha Tin Hong Kong China Department of System Engineering and Engineering Management Chinese University of Hong Kong Sha Tin Hong Kong China Department of Linguistics University of Washington Seattle WA USA

Development of spoken dialog systems (SDSs) can be facilitated by better evaluation methods. Previous methods seldom consider the efficiency of the system, which is important to users. We study the problem of evaluating SDSs and propose a new framework by generalizing states from utterances of dialogs to build finite state machine (FSM). These states can be regarded as efficiency measurement of SDSs. The FSM framework models dialogs as paths in an FSM to combine efficiency measurement with regression models. The proposed FSM framework can be applied in conjunction with regression models to improve evaluation accuracy. We compare our FSM framework combined with three regression models in several experiments. We obtain promising results on a collection of dialogs from the “Let's Go!” system, with our approach outperforming regression models.

关键词： Feature extraction Computational modeling Training Accuracy Delay system performance Mathematical model

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Predicting user evaluations of spoken dialog systems using semi-supervised learning

Predicting user evaluations of spoken dialog systems using s...

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IEEE Spoken Language Technology Workshop

作者： Baichuan Li Zhaojun Yang Yi Zhu Helen Meng Gina Levow Irwin King Department of Computer Science and Engineering Chinese University of Hong Kong Sha Tin Hong Kong China Department of System Engineering and Engineering Management Chinese University of Hong Kong Sha Tin Hong Kong China Department of Linguistics University of Washington Seattle WA USA

User evaluations of dialogs from a spoken dialog system (SDS) can be directly used to gauge the system's performance. However, it is costly to obtain manual evaluations of a large corpus of dialogs. Semi-supervised learning (SSL) provides a possible solution. This process learns from a small amount of manually labeled data, together with a large amount of unlabeled data, and can later be used to perform automatic labeling. We conduct comparative experiments among SSL approaches, classical regression and supervised learning in evaluation of dialogs from CMU's Let's Go Bus Information system. Two typical SSL methods, namely co-training and semi-supervised support vector machine (S3VM), are found to outperform the other approaches in automatically predicting user evaluations of unseen dialogs in the case of low training rate.

关键词： Training Accuracy Support vector machines Supervised learning Feature extraction Training data Logistics

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Erratum to: Detecting small lung tumors in mouse models by refractive-index microradiology

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Analytical and Bioanalytical Chemistry 2011年第3期401卷 1087-1087页

作者： Chien, Chia-Chi Zhang, Guilin Hwu, Yeukuang Liu, Ping Yue, Weisheng Sun, Jianqi Li, Yan Xu, Hongjie Xu, Lisa X. Wang, Chang Hai Chen, Nanyow Lu, Chien Hung Lee, Ting-Kuo Yang, Yuh-Cheng Lu, Yen-Ta Ching, Yu-Tai Shih, T. F. Yang, P. C. Je, J. H. Margaritondo, Giorgio Institute of Physics Academia Sinica Taipei Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu Taiwan Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai China Shanghai Jiao Tong University Shanghai China Mackay Memorial Hospital Taipei City Taiwan Department of Computer Science National Chiao Tung University Hsinchu Taiwan College of Medicine National Taiwan University Taipei Taiwan X-ray Imaging Center Pohang University of Science and Technology Pohang Kyungbuk South Korea Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland

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Teaching Software engineering from a Collaborative Perspective: Some Latin-American Experiences

Teaching Software Engineering from a Collaborative Perspecti...

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International Workshop on Database and Expert systems Applications

作者： Faber D. Giraldo Cesar A. Collazos Sergio F. Ochoa Sergio Zapata Gisela Torres de Clunie System and Computer Engineering Department University of Quindio Armenia Colombia IDIS Research Group University of Cauca Popayan Colombia Computer Science Department University of Chile Santiago Chile Informatics Institute National University of San Juan San Juan Argentina Software Engineering Department Technical University of Panama Panama

Teaching software engineering has been recognized as an important challenge for computer science undergraduate programs. Instruction in such area requires not only to deliver theoretical knowledge, but also to perform practical experiences that allow students to assimilate and apply such knowledge. This paper presents some results of two computer-Supported Collaborative Learning (CSCL) experiences that involved students of software engineering courses from four Latin American Universities. The obtained results were satisfactory and indicate the reported collaborative activity could be appropriate to address teaching software engineering.

关键词： Collaboration Software engineering Software Education Collaborative work Programming computers

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Measuement of cerebral blood oxygeneation during a verbal fluency task with juggling by means of fNIRS

Measuement of cerebral blood oxygeneation during a verbal fl...

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IEEE Region 10 International Conference TENCON

作者： Kenji Mishima Keiichi Irie Takafumi Kato Tadashi Suetsugu Shigeto Aramaki Hiroaki Tanaka Yasuki Higaki Sei Higuchi Yoshiharu Akitake Kenichi Mishima Michihiro Fujiwara Hiroyuki Ai Masahiro Abiru Department of chemical Engineering Fukuoka University Fukuoka Japan Department of Neuropharmacology Fukuoka University Fukuoka Japan Department of Electronics Engineering and Computer Science Fukuoka University Fukuoka Japan Faculty of Sports and Health Science Fukuoka University Fukuoka Japan Department of Earth System Science Fukuoka University Fukuoka Japan Department of Industrial Economics Fukuoka University Fukuoka Japan

Functional near-infrared spectroscopy (fNIRS) was used to study changes in cerebral blood oxygenation during a verbal fluency task. Five right-handed male volunteers matched on demographic variables and verbal fluency performance participated in the study. Images were acquired over 5 minutes at 1.5 T while the subjects performed two tasks. The first involved paced silent generation of words beginning with an aurally presented cue letter. This task alternated with paced silent repetition of the aurally presented word "rest." Significant responses were observed in the left prefrontal cortex, the insula bilaterally, the midline supplementary motor area, and the medial parietal cortex.

关键词： Spectroscopy Blood Brain Imaging Wavelength measurement Particle measurements Blood flow

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Bilateral teleoperation of multiple cooperative robots with time-varying delay

Bilateral teleoperation of multiple cooperative robots with ...

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IEEE Conference on Control Technology and Applications (CCTA)

作者： Duc Do Nam Yusuke Yamashina Toru Namerikawa Kanazawa Daigaku Kanazawa Ishikawa JP Division of Electrical Engineering and Computer Science Kanazawa University Kakuma-machi Kanazawa-City JAPAN Department of System Design Engineering Keio University Kohoku-ku Yokohama JAPAN

This paper deals with a passive-decomposition based control of bilateral teleoperation between a single master robot and multiple cooperative slave robots under time varying delay in the communication line. At first, we decompose the dynamics of multiple slave robots into two decoupled dynamics: the Shape-system describing dynamics of the cooperative works, and the Locked-system representing overall behavior of the multiple slave robots. Second, we propose a PD control method for bilateral teleoperation to guarantee the asymptotical stability of the system for time varying delay. Finally, experimental results show the effectiveness of our proposed teleoperation.

关键词： Delay Grasping Force Robot kinematics Equations Dynamics

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A novel DoubleMinOver classifier based On second-order tensor

A novel DoubleMinOver classifier based On second-order tenso...

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International Conference on Natural Computation (ICNC)

作者： Zhe Wang Rui Han Zhisong Pan Xuelei Ni Department of Computer Science & Engineering East China University of Science and Technology Shanghai China Department of Information & Communication Engineering Huaian College of Information and Technology Jiangsu China Institute of Command Automation People''s Liberation Army University of Science and Technology Nanjing China Department of Information System Shanghai Automotive Industry Corporation Shanghai China

It is well-known that the DoubleMinOver classifier as an extendibility of MinOver was developed to provide a maximum margin solution with a bias. But, it can be found that the DoubleMinOver algorithm only classifies the vector pattern and fails to work in the pattern represented with the second-order tensor. In this paper, we propose a novel DoubleMinOver classifier named STDoubleMinOver that can directly classify the second-order tensor pattern. Compared with the existing DoubleMinOver with only one weight w, the proposed STDoubleMinOver induces two weight vectors u and v so as to deal with the second-order tensor. The experiments here have demonstrated that the proposed STDoubleMinOver has a superior classification to the vectorized DoubleMinOver.

关键词： Tensile stress Feature extraction Accuracy Artificial neural networks Training Lenses Iris

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