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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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An information-theoretic approach to extraction in competitive learning

An information-theoretic approach to extraction in competiti...

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IASTED International Conference on Artificial Intelligence and Applications, AIA 2008

作者： Kamimura, Ryotaro Taniguchi, Tadanari Kitajima, Ryozo Information Science Education Center Japan Doctoral Program in Computer Sciences Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan

ISBN: (纸本)9780889867093

In this paper, we propose a new information-theoretic approach to competitive learning and self-organizing maps. We use several information-theoretic measures such as conditional information and information losses to extract main features in input patterns. For each competitive unit, conditional information content is used to show how much information on input patterns is contained. In addition, for detecting the importance of each variable, information losses are introduced. The information loss is defined by difference between information with all input units and information without an input unit. We applied the method to an artificial data, the Iris problem and a student survey. In all cases, experimental results showed that main features in input patterns were clearly detected.

关键词： Self organizing maps

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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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Accuracy Evaluation of A Diagnostic Test by Detecting Outliers and Influential Observations

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China Ocean Engineering 2008年第3期22卷 421-429页

作者： Hsien-Chueh Peter YANG Tsung-Hao CHEN Cheng-Wu CHEN Chen-Yuan CHEN Chun-Te LIU Department of Risk Management and Insurance National Knohsiung First University of Science and Technology Kaohsiung 811 China Department of Business Administration Shu-Te University Kaohsiung 82445 China Department of Logistics Management Shu-Te University Kaohsiung 82445 China Department of Management Information System Yung- Ta Institute of Technology and Commerce Pingtung 90941 China Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung 811 China

Logit regression analysis is widely applied in scientific studies and laboratory experiments, where skewed observations on a data set are often encountered. A number of problems with this method, for example, oudiers and influential observations, can cause overdispersion when a model is fitted. In this study a systematic statistical approach, including the plotting of several indices is used to diagnose the lack-of-fit of a logistic regression model. The outliers and influential observations on data from laboratory experiments are then detected. Specifically we take account of the interaction of an internal sohtary wave （ISW） with an obstacle, i.e., an underwater ridge, and also analyze the effects of the ridge height, the lower layer water depth, and the potential energy on the amplitude-based transmission rate of the ISW. As concluded, the goodness-of-fit of the revised logit regression model is better than that of the model without this approach.

关键词： diagnostic testing outliers influential observations internal solitary wave

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Fuzzy Fusion for Affective State Assessment in Distance Learning Based on Image Detection

Fuzzy Fusion for Affective State Assessment in Distance Lear...

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2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

作者： Kuoan Hwang Chiahao Yang Department of Computer Science and Information Engineering & Graduate Institute of Networking and Co Graduate Institute of Informatics Doctoral program Chaoyang University of Technology

Distance learning is a learning style that can overcome the limitation of time and space. Because of the distance, teachers can not handle the student's learning situation, and they do not know whether the student is attentive, drowsy or absent. If teachers can know the student's affective state, they can overcome the difficult. The research applies the image recognition technologies to capture the face images of students when they are learning and analyzes their face features to evaluate the student's affective state by Fuzzy Integral. Finally, teachers can monitor the student's behavior by the detection results on the system interface.

关键词： Distance learning Skin computers Distance measurement Face Image color analysis Education

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Informing daylighting design with the Lightsolve approach: Why and how

Informing daylighting design with the Lightsolve approach: W...

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25th International Conference on Passive and Low Energy Architecture: Towards Zero Energy Building, PLEA 2008

作者： Andersen, Marilyne Kleindienst, Siân Yi, Lu Lee, Jaime Bodart, Magali Cutler, Barbara Building Technology Program Dept. of Architecture Massachusetts Institute of Technology United States Post-doctoral Researcher FNRS Architecture et Climat Université Catholique de Louvain Belgium Computer Science Department Rensselaer Polytechnic Institute United States

ISBN: (纸本)9781905254347

To efficiently and appropriately integrate daylighting strategies in their projects, building designers need reliable methods to address issues such as daily and seasonal variations or the balance between sufficient illumination with visual and thermal comfort aspects. This integration must also happen early in the design process to have a significant impact on energy savings and ultimate building performance. This paper proposes to address this need by fulfilling three major objectives: support the design process using a goal-oriented approach based on iterative design improvement suggestions;provide climate-based annual metrics in a visual and synthesized form;and relate quantitative and qualitative performance criteria thanks to a novel interface for browsing daylighting analysis data in various forms. A methodology to achieve these objectives is described here as the Lightsolve approach.

关键词： Daylighting

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Attentiveness Assessment in Learning Based on Fuzzy Logic Analysis

Attentiveness Assessment in Learning Based on Fuzzy Logic An...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Kuo-An Hwang Chia-Hao Yang Department of Computer Science and Information Engineering & Graduate Institute of Networking and CommunicationEngineering ChaoYang University of Technology Taiwan Graduate Institute of Informatics Doctoral program ChaoYang University of Technology Taiwan

Learner attention affects learning efficiency. However, in many classes, teachers cannot assess the degree of attention of every student. When a teacher is capable of addressing inattentive students immediately, he can avoid situations in which students are inattentive. Many studies have analyzed student attentiveness by the applying of image detection technologies. If this mechanism can be applied to in-class learning, it will help teachers keep students attentive, and reduce teacher load during class. This study mainly applies fuzzy logic analysis of student facial images when participating in class. Applying fuzzy logic can prevent erroneous judgments associated with a single term, and help teachers deal with student attentiveness.

关键词： Fuzzy logic Face detection Image analysis Image color analysis Education Eyes Design engineering Chaotic communication Image processing Face recognition

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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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