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Titlebook: New Trends in Applied Artificial Intelligence; 20th International C Hiroshi G. Okuno,Moonis Ali Conference proceedings 2007 Springer-Verlag

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楼主: exterminate
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Nurse Scheduling Using Fuzzy Multiple Objective Programming short-term planning period. The problem involves multiple conflicting objectives such as satisfying demand coverage requirements and maximizing nurses’ preferences subject to a variety of constraints imposed by legal regulations, personnel policies and many other hospital-specific requirements. The
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Fuzzy Adaptive Threshold Determining in the Key Inheritance Based Sensor Networksction attacks will not only cause false alarms that waste real world response efforts, but also drain the finite amount of energy in a battery powered network. The key inheritance based filtering scheme can detect a false report at the very next node of the compromised node that injected the false r
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A New Approach for Evaluating Students’ Answerscripts Based on Interval-Valued Fuzzy Setse marks awarded to the answers in the students’ answerscripts are represented by interval-valued fuzzy sets, where each element in the universe of discourse belonging to an interval-valued fuzzy set is represented by an interval between zero and one. An index of optimism . determined by the evaluato
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An Intelligent Multimedia E-Learning System for Pronunciationsrners lip movements and then a score is given by making a comparison with images stored in the database. The images stored in the database are those previously recorded by a teacher. By means of the scoring system, the learner can identify and rectify pronunciation problems concerning the lips and t
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Phase-Based Feature Matching Under Illumination Varianceslighting or object motion. In this paper we tackle this ill-posed problem by using the difference of local phase which is known to be stable to a certain extent even under illumination variances. In order to realize a precise matching, we basically compute the local phase by convolutions with Gabor
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Intention Through Interaction: Toward Mutual Intention in Real World Interactionsof near future robots and other intelligent artifacts in integrating them into the human society. In this paper a new paradigm for mutual intention in human-artifact interactions based on the embodied computing paradigm called . is introduced with theoretical analysis of its relation to the embodime
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An Interactive Framework for Document Retrieval and Presentation with Question-Answering Function inose deployed in museums, the information flow is one-way and the content is fixed. To make the guidance interactive, we prepare two modes, a user-initiative retrieval/QA mode (pull-mode) and a system-initiative recommendation mode (push-mode), and switch between them according to the user’s state. I
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Economic Turning Point Forecasting Using Neural Network with Weighted Fuzzy Membership Functions points in business cycle by the composite index. NEWFM is a new model of neural networks to improve forecasting accuracy by using self adaptive weighted fuzzy membership functions. The locations and weights of the membership functions are adaptively trained, and then the fuzzy membership functions
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