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International Conference on Advanced Learning Technologies (ICALT)

作者： Tommaso Leo Flavio Manganello Martina Pennacchietti Antonio Pistoia Kinshuk Niang-Shin Chen Department of Computer Science Management and Automation Engineering Università Politecnica delle Marche Ancona Italy School of Computing and Information Systems Athabasca University Athabasca Canada Department of Information Management National Sun Yat-sen University Taoyuan Taiwan

Most of the online courses nowadays are offered mainly in asynchronous mode, enabling students with the freedom of time and distance. Nonetheless, the drop-out rate for online courses is high. With online synchronous instruction students have both freedom of distance and punctuality of regular progress and the drop-out rate is found to be greatly reduced. However, there is a lack of online synchronous teaching pedagogies in the literature for teachers. This study aims to identify major issues that need to be considered in online synchronous instruction environments using observations of real online synchronous instruction in a physical setup. This paper then recommends some pedagogical guidelines for effective online synchronous teaching.

关键词： Education Guidelines Educational activities Online Communities/Technical Collaboration Videoconference Computer science Conference management Technology management engineering management Automation

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AAAI 2008 workshop reports

AAAI 2008 workshop reports

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作者： Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West

AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Workshop Colloquium;Coordination, Organizations, Institutions, and Norms in Agent systems, Enhanced Messaging;Human Implications of Human-Robot Interaction;Intelligent Techniques for Web Personalization and Recommender systems;Metareasoning: Thinking about Thinking;Multidisciplinary Workshop on Advances in Preference Handling;Search in Artificial Intelligence and Robotics;Spatial and Temporal Reasoning;Trading Agent Design and Analysis;Transfer Learning for Complex Tasks;What Went Wrong and Why: Lessons from AI Research and Applications;and Wikipedia and Artificial Intelligence: An Evolving Synergy. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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A selective downlink scheduling algorithm to enhance quality of VOD services for WAVE networks

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Eurasip Journal on Wireless Communications and Networking 2009年第1期2009卷 1-1页

作者： Chen, Hsiao-Hwa Ou, Shumao Yang, Kun Galis, Alex Department of Computing and Electronic Systems University of Essex Colchester CO4 3SQ United Kingdom Department of Engineering Science National Cheng Kung University Tainan City 70101 Taiwan London WC1E 7JE United Kingdom

Providing quality-of-service- (QoS-) guaranteed video on demand (VOD) services over wireless access in vehicular environments (WAVEs) is a challenge as WAVE adopts enhanced distributive channel access (EDCA), a contention-based channel access mechanism, for air interface access control. This paper proposes a selective downlink scheduling (SDS) algorithm to enhance the quality of VOD for WAVE networks. According to the importance of video decoding, video packets are categorized into high and low priorities. The categorized packets are put into different queues in roadside units (RSUs) to contend for transmission opportunities. Aiming to improve video playback quality and reduce video playback delay, the proposed SDS algorithm schedules video packets based on their importance, playback deadline, and their real-time parameters of receiving onboard units (OBUs), such as velocity and remaining dwelling time. The effectiveness of SDS algorithm is verified by simulations.

关键词： Scheduling algorithms

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An integrated framework for parameter-based optimization of scientific workflows

An integrated framework for parameter-based optimization of ...

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18th ACM International Symposium on High Performance Distributed computing, HPDC 09, Co-located with the 2009 International Symposium on High Performance Distributed computing Conference, HPDC'09

作者： Kumar, Vijay S. Sadayappan, P. Mehta, Gaurang Vahi, Karan Deelman, Ewa Ratnakar, Varun Kim, Jihie Gil, Yolanda Hall, Mary Kurc, Tahsin Saltz, Joel Department of Computer Science and Engineering Ohio State University Columbus OH 43210 United States Advanced Systems Division Information Sciences Institute University of Southern California Marina del Rey CA 90292 United States Intelligent Systems Division Information Sciences Institute University of Southern California Marina del Rey CA 90292 United States School of Computing University of Utah Salt Lake City UT 84112 United States Center for Comprehensive Informatics Emory University Atlanta GA 30307 United States

ISBN: (纸本)9781605585871

Data analysis processes in scientific applications can be expressed as coarse-grain workflows of complex data processing operations with data flow dependencies between them. Performance optimization of these workflows can be viewed as a search for a set of optimal values in a multi-dimensional parameter space. While some performance parameters such as grouping of workflow components and their mapping to machines do not affect the accuracy of the output, others may dictate trading the output quality of individual components (and of the whole workflow) for performance. This paper describes an integrated framework which is capable of supporting performance optimizations along multiple dimensions of the parameter space. Using two real-world applications in the spatial data analysis domain, we present an experimental evaluation of the proposed framework. Copyright 2009 ACM.

关键词： Data handling

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Climbing gaits of a modular biped climbing robot

Climbing gaits of a modular biped climbing robot

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Yisheng Guan Li Jiang Xianmin Zhang Hong Zhang Biomimetic and Intelligent Robotics Laboratory (BIRL) School of Mechanical and Automotive Engineering South China University of Technology Guangzhou Guangdong China Centre for Intelligent Mining Systems (CIMS) Department of Computing Science University of Alberta Edmonton AB Canada

For high-rise work in fields such as agriculture, forestry and architecture, and inspired by the climbing motion of inchworms, chimpanzees, and sloths, we have developed a biped climbing robot - Climbot. Consisting of five 1-DOF joint modules in series and two special grippers at the ends, Climbot is capable of grasping objects and climbing poles, trees and trusses. In this paper, we first introduce this novel robot, and then present three climbing gaits. We perform simulation to illustrate, verify and compare the proposed climbing gaits.

关键词： Climbing robots Medical robotics Prototypes Intelligent robots Agriculture Forestry Service robots Orbital robotics Intelligent vehicles Humans

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Noether conserved quantities and Lie point symmetries of difference Lagrange-Maxwell equations and lattices

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Chinese Physics B 2009年第7期18卷 2634-2641页

作者：傅景礼聂宁明黄健飞 Jiménez Salvador 唐贻发 Vzquez Luis 赵维加 Institute of Mathematical Physics Zhejiang Sci-Tech University State Key Laboratory of Scientific and Engineering Computing ICMSECAcademy of Mathematics and Systems ScienceChinese Academy of Sciences Department of Mathematics Qingdao University Departamento de Matema'tica Aplicada TTII E.T.S.I.Telecomunicacio'nUniversidad Polit'ecnica de Madrid28040-MadridSpain Departamento de Matemática Aplicada Facultad de MatemáticasInstituto de Matemática Interdisciplinar(IMI)Universidad Complutense de Madrid28040-MadridSpain Departamento de Matemática Aplicada Facultad de InformáticaInstituto de Matemática Interdisciplinar(IMI)Universidad Complutense de Madrid28040-MadridSpain

This paper presents a method to find Noether-type conserved quantities and Lie point symmetries for discrete mechanico-electrical dynamical systems,which leave invuriant the set of solutions of the corresponding difference scheme. This approach makes it possible to devise techniques for solving the Lagrange Maxwell equations in differences which correspond to mechanico-electrical systems,by adapting existing differential *** particular,it obtains a new systematic method to determine both the one-parameter Lie groups and the discrete Noether conserved quantities of Lie point symmetries for mechanico-electrical *** an application,it obtains the Lie point symmetries and the conserved quantities for the difference equation of a model that represents a capacitor microphone.

关键词： Lagrange Maxwell equation Lie point symmetry discrete mechanico-electrical system conserved quantity

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Simple adaptive dynamical control of vehicles driven by omnidirectional wheels

Simple adaptive dynamical control of vehicles driven by omni...

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IEEE 7th International Conference on Computational Cybernetics, ICCC 2009

作者： Tar, J.K. Rudas, I.J. Nagy, I. Kozlowski, K.R. Tenreiro Machado, J.A. Telematics and Communications Informatics Knowledge Centre Budapest Tech. H-1034 Budapest Hungary John Von Neumann Faculty of Informatics Budapest Tech. H-1034 Budapest Hungary Bánki Dońat Faculty of Mechanical and Safety Engineering Budapest Tech. Bécsiút 96/B H-1034 Budapest Hungary Control and Systems Engineering Computing Science and Management Poznań University of Technology Piotrowo 3a 60-965 Poznań Poland Department of Electrotechnical Engineering Institute of Engineering of Porto Rua Dr. Antonio Bernardino de Almeida 4200-072 Porto Portugal

ISBN: (纸本)9781424453115

Precise control of Automatic Guided Vehicles (AGVs) navigating between the aisles of manufacturing systems by the use of local markers is an important task. On the basis of the geometric model of the workspace and the vehicles and that of the sensor uncertainties precise trajectories were recently generated along which the vehicle safely can move. In order to achieve precise trajectory tracking the effects of the system's dynamical uncertainties (modeling errors and possible external perturbations) have to be compensated. In the present paper a simple, Fixed point transformations based adaptive control is proposed for this purpose. The proposed method is tested via simulation for a vehicle of triangular shape, driven by three omnidirectional wheels. The method is also able to monitor and evade the conditions that may lead to turning over the vehicle. ©2009IEEE.

关键词： Uncertainty analysis

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WCE 2010 - World Congress on engineering 2010: Preface

WCE 2010 - World Congress on Engineering 2010

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WCE 2010 - World Congress on engineering 2010 2010年 1卷 l页

作者： Korsunsky, Alexander M. Hunter, Andrew Hukins, David W.L. Gelman, Len Hogger, Christopher John Ceglarek, Darek J. Payne, Stephen Ao, S.I. Ahmad, Munir Alexandrou, Ioannis Al-Nuaimy, Waleed Amavasai, Bala P. An, Yoon-Young Ariwa, Ezendu Arteche, Josu Audrino, Francesco Ayesh, Aladdin Baber, Chris Bailey, Colin Balkan, Naci Barria, Javier Bartosova, Jitka Benkrid, Khaled Bleijs, Hans Bluck, Michael Bose, Indranil Bouzas, Paula R. Braiden, Paul M. Brdys, Mietek Burriesci, Gaetano Cannataro, Mario Carvalho, Alexandre Chang, Chin-Chen Chen, Dechang Chen, Guanghui George Chen, Yuh-Shyan Chiclana, Francisco Cooke, Alastair Das, Diganta Bhusan Davis, Darryl N. Dayoub, Iyad Raman, Suash Deb C. V. Demetriou, Ioannis C. Devai, Frank Dilmaghani, Reza S. Dini, Daniele Drikakis, Dimitris Durkan, Colm Durodola, John Etebar, Kamran Fenn, Peter Figueiredo, Adelaide Florou, Giannoula Freear, Steven Gabrys, Bogdan Galbraith, Graham H. Gaskell, Philip H. Gaura, Elena Ge, Zhao-Qiang Ghafouri-Shiraz, H. Ghavami, Mohammad Giannopoulos, Kostas Pruneda Gonzalez, Rosa Eva Gracia, Angel Marin Grecos, Christos Guan, Lin Gulpinar, Nalan Guo, Renkuan Guo, Yakun Hardalupas, Y. He, Li Herrero, Josep R. Hicks, Ben James Hines, Evor L. Hodgson, Simon Horsfall, Alton Hosein, Patrick Hu, Fun Hu, Osheng Ijomah, Winifred Ming, Ji James, Anne Jancovic, Peter Jhumka, Arshad Kamareddine, Fairouz Kannan, Rajgopal Karsligil, M. Elif Katircioglu, Salih Turan Khalid, Allali Kokossis, Antonis Kontis, Konstantinos Kulekci, M. Oguzhan Laukaitis, Algirdas Leeson, Mark Limbachiya, Mukesh C. Li, Layuan Li, Lin Lin, Phone Ling, Wing-Kuen Macias Lopez, Elsa M. Lovas, Terese Luglio, Michele Mainardi, Stefano Mahanti, Prabhat K. Marinos, Ioannides Maropoulos, Paul Mativenga, Paul Mavrommatis, George Meintanis, S.G. Meisel, Yezid Donoso Mekid, Samir Mias, Christos Morin, Annie Musliu, Nysret Nabhani, Farhad Naguib, Raouf Olatunbosun, Oluremi Olsen, Sarah Ozalp, A. Alper Pang, Ai-Chun Pao, William K.-S. Piera, Miquel Angel Pinciroli, Francesco Popescu, Theodor D. Power Trinity College Department of Engineering Science University of Oxford United Kingdom Vision and AI Research Group Lincoln University United Kingdom Department of Computing and Informatics Lincoln University United Kingdom Department of Bio-medical Engineering University of Birmingham United Kingdom Department of Mechanical and Manufacturing Engineering University of Birmingham United Kingdom Department of Vibro-Acoustic Monitoring United Kingdom Condition Monitoring Technical Committee British Institute of NDT United Kingdom Centre of Vibro-Acoustics and Fatigue United Kingdom Cranfield University United Kingdom Department of Computing Imperial College London United Kingdom International Manufacturing Centre University of Warwick United Kingdom Department of Industrial and Systems Engineering University of Wisconsin-Madison United States University Lecturer in BioMedical Engineering United Kingdom Degrees Keble College Department of Engineering Science University of Oxford United Kingdom Oxford University Computing Laboratory University of Oxford United Kingdom Harvard School of Engineering and Applied Sciences Harvard University United States University of Teesside United Kingdom University of Liverpool United Kingdom Sheffield Hallam University United Kingdom Electronics and Telecommunications Research Institute Korea Republic of London Metropolitan University United Kingdom Universidad del Pais Vasco Euskal Herriko Unibertsitatea Spain University of St. Gallen Switzerland De Montfort University United Kingdom University of Birmingham United Kingdom University of Manchester United Kingdom University of Essex United Kingdom Imperial College London United Kingdom University of Economics Czech Republic University of Edinburgh United Kingdom University of Leicester United Kingdom University of Hong Kong Hong Kong Hong Kong University of Granada Spain Newcastle University United Kingdom University College London United Kingdom University Magna Graecia of Catanza

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Shot-based video retrieval with optical flow tensor and HMMs

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Pattern Recognition Letters 2009年第2期30卷 140-147页

作者： Xinbo Gao Xuelong Li Jun Feng Dacheng Tao School of Electronic Engineering Xidian University Xi’an 710071 China School of Computer Science and Information Systems Birkbeck College University of London London WC1E 7HX UK Biometrics Research Centre Department of Computing The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong China

Video retrieval and indexing research aims to efficiently and effectively manage very large video databases, e.g., CCTV records, which is a key component in video-based object and event analysis. In this paper, for the purpose of video retrieval, we propose a novel method to represent video data by developing an optical flow tensor (OFT) and incorporating hidden Markov models (HMMs). As video is content-sensitive and normally carries rich motion information of objects, optical flow field is first employed to estimate such motion. Then, a shot HMMs tree is built to model video clips in different levels in a database. Experimental results demonstrate that the newly developed method inherits advantages of both optical flow and HMMs in video representation. With the newly developed video representation, in video retrieval and indexing tasks, no need to exhaustively compare a query video shot with all video shot records in the database. Moreover, the novel representation method works well when linear discriminant analysis (LDA) is utilized to reduce the feature dimensionality and further speed up the retrieval procedure.

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LogisticLDA: Regularizing latent dirichlet allocation by logistic regression

PACLIC 23 - Proceedings of the 23rd Pacific Asia Conference ...

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PACLIC 23 - Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation 2009年 1卷 160-169页

作者： Guo, Jia-Cheng Lu, Bao-Liang Li, Zhiwei Zhang, Lei Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dong Chuan Road Shanghai 200040 China MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dong Chuan Road Shanghai 200040 China Microsoft Research Asia 49 Zhichun Road Haidian District Beijing 100080 China

ISBN: (纸本)9789624423198

We present in this paper a supervised topic model for multi-class classification problems. To incorporate supervisory information, we jointly model documents and their labels in a graphical model called LogisticLDA, which mathematically integrates a generative model and a discriminative model in a principled way. By maximizing the posterior of document labels using logistic normal distributions, the model effectively incorporates the supervisory information to maximize inter-class distance in the topic space, while documents still enjoy the interchangeability characteristic for ease of inference. Experimental results on three benchmark datasets demonstrate that the model outperforms state-of-the-art supervised topic models. Compared with support vector machine, the model also achieves comparable performance, but meanwhile it discovers a topic space, which is valuable for dimension reduction, topic mining and document retrieval. © 2009 by Jia-Cheng Guo, Bao-Liang Lu, Zhiwei Li, and Lei Zhang.

关键词： Normal distribution

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