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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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An Acoustically-Analytic Approach to Behavioral Patterns for Monitoring Living Activities

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13th International Conference on Biomedical Engineering, ICBME 2008

作者： Liu, Kuang-Che Yan, Gwo-Lang Chiu, Yu-Hsien Tsai, Ming-Shih Chung, Kao-Chi ICT-Enabled Healthcare Program-Industrial Technology Research Institute Tainan Taiwan Department of Computer Science and Information Engineering Southern Taiwan University Tainan Taiwan Potz General Hospital Chiayi Taiwan Institute of Biomedical Engineering National Cheng Kung University Tainan Taiwan

ISBN: (纸本)9783540928409

Risk prevention and alarm are crucial for home care of aged people who live alone. In this paper, an acousticallyanalytic approach is proposed to extract behavioral patterns for modeling and monitoring living activities. An experimental environment was established for collecting sound tracking data of behaviors from daily activities. Each sound tracking data was transcribed to the corresponding sound event sequences by caregivers and psychologists. A living activities mining algorithm is applied to extract meaningful sequences of sound event as behavioral patterns. Then K-means algorithm is adopted to classify events into several fuzzy clusters relating to living activities for modeling behaviors in daily activities. An experimental database consists of 150 sound tracking data was established by collecting three guided behaviors included rolled out of bed to drink water, go to the toilet and watch the fish jar from 5 subjects in two weeks. 476 meaningful sequences of sound events were explored and clustered into 32 quasi-activities. These quasi-activities were further concluded into 5 kinds of behavioral patterns for modeling living activities. The preliminary result shows the potential for modeling and proactively detecting abnormal behaviors or changes of the aged.

关键词： Aged people behaviorism Living Activities

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Nonlinear internal wave run-up on impermeable steep slopes

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Journal of Offshore Mechanics and Arctic Engineering 2009年第4期131卷 1-5页

作者： Tseng, I-Fan Chen, Chen-Yuan Kuo, Hui-Ming Department of Marine Environment and Engineering National Sun Yat-Sen University Kaohsiung 80424 Taiwan Department of Computer Science National Pingtung University of Education No. 4-18 Ming Shen Rd. Pingtung 90003 Taiwan Department of Management Information System Yung-Ta Institute of Technology and Commerce Lin-Luoh Pingtung 90941 Taiwan Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Department of Logistics Management Shu-Te University Yen Chau Kaohsiung 82445 Taiwan

Laboratory experiments were conducted to investigate the run-up of internal solitary waves (ISWs) on steep uniform slopes in a two-layered fluid system with a free surface. A 12 m long wave flume, which incorporated a movable vertical gate for generating ISWs, was used in the experiments. A steep uniform slope was modeled at one end of the flume. In the present study we looked at internal waves with small and large amplitudes using a steep uniform slope (from one of Θ=30, 50, 60, 90, 120, and 130 deg) much longer than those previously published in the literature. Results collected from a wide range of experimental runs show that the run-up height depends on the planar slope, while the breaking depth is only antecedent to the amplitude of an ISW. The overall quantitative agreement with the linear feature aspects of the incident wave amplitude is encouraging. Copyright © 2009 by ASME.

关键词： Arctic engineering

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Probabilistic structure from sound

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Advanced Robotics 2009年第12-13期23卷 1687-1702页

作者： Wang, Chieh-Chih Lin, Chi-Hao Hu, Jwu-Sheng Department of Computer Science and Information Engineering Graduate Institute of Networking and Multimedia National Taiwan University Taipei 10617 Taiwan Intelligent Robotics Program of Industrial Technology Research Institute Department of Electrical and Control Engineering National Chiao Tung University HsinChu 310 Taiwan

Auditory perception is one of the most important functions for robotics applications. Microphone arrays are widely used for auditory perception in which the spatial structure of microphones is usually known. In practice, microphone array calibration can be tedious and other devices or means are required. The structure from sound (SFS) approach addresses the problem of simultaneously localizing a set of microphones and a set of acoustic events that provides a great flexibility to calibrate different setups of microphone arrays. However, the existing method does not take measurement uncertainty into account and does not provide uncertainty estimates of the SFS results. In this paper, we propose a probabilistic structure from sound (PSFS) approach using the unscented transform in which the uncertainties of the PSFS results are also available. In addition, a probabilistic sound source localization approach using the PSFS results is provided to improve sound source localization accuracy. The ample results of simulation and experiments using low-cost, off-the-shelf microphones demonstrate the feasibility and performance of the proposed PSFS approach. © 2009 VSP.

关键词： Microphone array

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Expanding the plausible solution space for robustness in an intelligent tutoring system

Expanding the plausible solution space for robustness in an ...

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9th International Conference on Intelligent Tutoring Systems

作者： Kazi, Hameedullah Haddawy, Peter Suebnukarn, Siriwan Computer Science and Information Management Program Asian Institute of Technology Thailand School of Dentistry Thammasat University Thailand Department of Computer Science Isra University Pakistan

ISBN: (纸本)9783540691303

The knowledge acquisition bottleneck is a problem pertinent to the authoring of any intelligent tutoring system. Allowing students a broad scope of reasoning and solution representation whereby a wide range of plausible student solutions are accepted by the system, places additional burden on knowledge acquisition. In this paper we present a strategy to alleviate the burden of knowledge acquisition for building a tutoring system for medical problem-based learning (PBL). The Unified Medical Language System (UMLS) is deployed as domain ontology and information structure in the ontology is exploited to make intelligent inferences and expand the domain model. Using these inferences and expanded domain model, the tutoring system is able to accept a broader range of plausible student solutions that lie beyond the scope of explicitly encoded solutions. We describe the development of a tutoring system prototype and report the evaluation of system correctness in accepting such plausible solutions. The system evaluation indicates an average accuracy of 94.59% when compared against human domain experts, who agreed among themselves with a statistical agreement based on Pearson Correlation Coefficient of 0.48 and p < 0.05.

关键词： robustness intelligent tutoring systems medical problem-based learning UMLS knowledge acquisition bottleneck.

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information technology literacy for non-engineers

Information technology literacy for non-engineers

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2008 ASEE Annual Conference and Exposition

作者： Suchan, William Schwartz, Susan Sobiesk, Edward United States Military Academy Information Technology Core Program Department of Electrical Engineering and Computer Science United States Military Academy Information Technology Core Program Department of Electrical Engineering and Computer Science United States Military Academy Course IT305-Theory and Practice of Military IT Systems Department of Electrical Engineering and Computer Science United States Military Academy

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Meaning-preserving skolemization on logical structures

Meaning-preserving skolemization on logical structures

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9th International Conference on Intelligent Technologies, Intech'08

作者： Akama, Kiyoshi Nantajeewarawat, Ekawit Division of Large-Scale Computational Systems Information Initiative Center Hokkaido University Hokkaido 060-0811 Japan Computer Science Program Sirindhorn International Institute of Technology Thammasat University Rangsit Campus Pathumthani 12121 Thailand

ISBN: (纸本)9789746152969

Skolemization is a well-known method for removing existential quantifiers from a logical formula. Although it always yields a satisfiability-preserving transformation step, classical Skolemization in general does not preserve the logical meaning of a source formula. Based on a general framework for generating and extending logical structures on specialization systems, we develop in this paper a theory for extending a space of logical formulas by incorporation of function variables and show how meaning-preserving Skolemization can be achieved in an obtained extended space. A procedure for converting a logical formula into an equivalent one in a conjunctive normal form on the extended space is described. This work lays a crucial theoretical foundation for solving logical problems involving existential quantifications based on meaning-preserving formula transformation.

关键词： Conjunctive normal form Equivalent transformation Logical structures Skolemization Specialization systems

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Achieving compelling student comprehension of complex information structures for both on-site and on-line courses

Achieving compelling student comprehension of complex inform...

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2008 ASEE Annual Conference and Exposition

作者： Uhlig, Ronald Farahani, Alireza Viswanathan, Shekar Evans, Howard Sotelo, Mark National University Department of Computer Science and Information Systems School of Engineering and Technology National University Wireless Communications for the Master ot Science in Wireless Communications Program International Telecommunications Academy School of Engineering and Technology Department of Applied Engineering Lead Faculty for Engineering Management and Homeland Security and Safety Engineering Academic Computing for National University

Teaching engineering and technology subjects involves conveying understanding of abstract information structures and processes such as complex telecommunications protocols, complex mathematical concepts, and data structures. These are multidimensional and can be difficult to grasp quickly. Supported by a Hewlett-Packard (HP) technology for Teaching grant, the School of Engineering and technology at National University has embarked on a project to enable students to grasp these complex concepts more quickly and easily, using continuous dialog among students and instructors as the structures are first introduced and then examined from multiple perspectives through real-time interaction among students, small groups, and instructors. HP Wireless Tablet PCs are used to discuss and experiment with diagrams and processes in realtime. This allows combining lectures and problem-solving sessions into a single class session. Our hypothesis is that: 1) an in-depth learning of theory is accomplished, and 2) student engagement is enhanced. Presentation of theory by the instructor is integrated with application while the theory is still in the student's short-term memory. Students no longer have to wait for a separate session such as a recitation session to apply the concepts. This approach often takes less time. In addition to accelerating the learning process, expert instructors find this approach more rewarding as students grasp new concepts more quickly. Analysis of data captured from both students and instructors are presented to support our hypotheses, and our results are compared with similar research carried out by other universities. In addition, the level of interaction enabled by the use of HP Tablets in on-line classes is discussed. The best teaching tools available in existing on-line teaching platforms are compared with the additional tools available in on-site courses when every student has a wireless Tablet PC and specific recommendations are made to on-line teachi

关键词： Students

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Fast lane detection with Randomized Hough Transform

Fast lane detection with Randomized Hough Transform

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International Symposium on information technology, ITSim

作者： Azali Saudi Jason Teo Mohd Hanafi Ahmad Hijazi Jumat Sulaiman Centre for Artificial Intelligence Computer Science Program School of Engineering & Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia Computer Graphics Program School of Science & Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

Lane detection is an essential component of autonomous mobile robot applications. Any lane detection method has to deal with the varying conditions of the lane and surrounding that the robot would encounter while moving. Lane detection procedure can provide estimates for the position and orientation of the robot within the lane and also can provide a reference system for locating other obstacles in the path of the robot. In this paper we present a method for lane detection in video frames of a camera mounted on top of the mobile robot. Given video input from the camera, the gradient of the current lane in the near field of view are automatically detected. Randomized Hough Transform is used for extracting parametric curves from the images acquired. A priori knowledge of the lane position is assumed for better accuracy of lane detection.

关键词： Transforms Roads Pixel Robustness Image edge detection Vehicles Equations

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Comparisons of classifier algorithms: Bayesian network, C4.5, decision forest and NBTree for Course Registration Planning model of undergraduate students

Comparisons of classifier algorithms: Bayesian network, C4.5...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Pathom Pumpuang Anongnart Srivihok Prasong Praneetpolgrang Department of Computer Science Faculty of Science Kasetsart University Bangkok Thailand Master of Science Program in Information Technology Graduate School Sripatum University Bangkok Thailand

The success rate of computer science and engineering students in private universities are not high. It is helpful to find the model to assist students in registration planning. The objective of this research is to propose the classifier algorithm for building course registration planning model (CRPM) from historical dataset. The algorithm is selected by comparing performances of four classifiers include Bayesian network, C4.5, Decision Forest and NBTree. The dataset were obtained from student enrollments including grade point average (GPA) and grades of undergraduate students whose majors were computer science or computer engineering. These dataset included grades in each subject of first and second year students from a private university in Thailand. Results showed that NBTree seemed to be the best of four classifiers which had highest prediction power. NBTree was used to generate CRP model which can be used to predict student class of GPA and consider student course sequences for registration planning.

关键词： Bayesian methods computer science Predictive models Data mining Decision trees Noise cancellation information technology Data analysis computer science education Path planning

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