The paper presents a Q&A model, which can be used as a basis for the development of educational software using component and framework based software development technology. The Q&A model is used to identify p...
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The paper presents a Q&A model, which can be used as a basis for the development of educational software using component and framework based software development technology. The Q&A model is used to identify possible questions covering any subject based on Bloom's Taxonomy of learning in a cognitive domain (B.S. Bloom and D.R. Krathwohl, 1984). The proposed vertical framework is applied to an educational domain. It provides a specific pattern designed to be used with cognitive oriented subjects at a higher education level. The proposed framework is described in a document specification manner containing framework main component specifications, component interface definitions, and the pattern to link those components. An application implemented based on this framework is easily adopted, as it requires minimum changes to any learning and teaching environment: teachers can retain their styles of teaching and students can retain their styles of learning.
A modeling approach is introduced in this paper to capture the real characteristics of the WWW traffic, using a combination of Box-Jenkins models with seasonality removal. Fourier analysis and standardization are used...
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Considering the importance of the domain relationship in eliminating noisy features in feature selection, we present an alternate approach to designing a multi-objective fitness function using multiple correlation for...
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Hierarchical WWW cache formation which provides both higher hit rates and saves overall bandwidth consumption through fetching WWW objects and periodically redistributing them among member caches is proposed as an app...
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Most human face recognition approaches start with a detection of facial features (facial feature extraction). To extract the right facial features, a process for finding their exact position is needed. The aim of this...
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Most human face recognition approaches start with a detection of facial features (facial feature extraction). To extract the right facial features, a process for finding their exact position is needed. The aim of this paper is to find the estimated position of facial features using intensity computation and to explain pre-processing in facial feature extraction. For the computerized images used in this research, pixels were manipulated in intensity only, without changing their original position. The system performance was tested on 40 test data (20 good quality images and 20 interference images), locating eyes and lips line only. Using good quality images, the system can show all facial features expected and from interference images, the system only gives 90% of accuracy. Intensity computation is one possible method to find the estimated positions of facial features. The corner selection and capturing area processes give accurate results for locating the eyes and lips line.
Researchers in multilingual information retrieval and natural language processing are making progress on algorithms for guessing what a text is about and for translating queries between languages;some day we may have ...
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Two issues are addressed in this paper. Firstly, it investigates some important properties of bidirectional associative memories (BAM) and proposes an improved capacity estimate. Those properties are the encoding form...
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Two issues are addressed in this paper. Firstly, it investigates some important properties of bidirectional associative memories (BAM) and proposes an improved capacity estimate. Those properties are the encoding form of the input pattern pairs as well as their decoding, the orthogonality of the pattern pairs, the similarity of associated patterns, and the density of the pattern pairs. Secondly, it proposes an implementation approach to improve the storage capacity. The approach embraces three proposed methods, i.e., the bipolar-orthogonal augmentation, the set partition, and the combined method. Along with those methods is the construction of the set of bipolar orthogonal patterns.
作者:
Wu, BCYoung, GSSchmidt, WChoppella, KDr. Bi-Chu Wu:received a PhD in Mechanical Engineering from the University of Maryland
College Park in 1991. She has worked on projects involving naval architecture design optimization solid mechanics and database development. Presently a senwr engineer with Angle Incorporated Dr Wu's research interests are in design optimization and fuzzy logic applications. Dr. Gin-Shu Young:
a senior engineer with Angle Incorporated holds a PhD in Mechanical Engineering from the University of Maryland College Park. As a guest researcher with National Institute of Standards and Technologies from 1990 to 1993 he worked on vision-based navigation for autonomous vehicles. His experience also includes applications of optimization fuzzy logic neural network and genetic algorithm methods to engineering system design Mr. William Schmidt:co-founded Angle Incorporated in 1990 and has served as Vice PresidentlChiefScientist during this tame. He holds a B.Sc. in Applied Science from the Naval Acadt?my and an M.Sc. in Physics from the Naval Post Graduate School. He has cner 20 years experience in technical leadership
material and personnel management. He has led the application of computer aided design (CAD) and Product Model Information Exchange to the shipbuilding industry. His experience also includes leading the amlication of model based operational analysis to support the Live Fire Test Program for DDG 51 Class Destroyers. Mr. Krishna M. Choppella:is a Sofware Engineer at Eidea Laboratories
Incotporated where he works on componentbased distributed enterpvise frameworks. He has been involved in creating data analysis tools for the US Nay by integrating CAD modeis databases and graphical front ends. His work in the Masters degree program in Mechanical Engineering at the University of Texas at Austin was in di0ddase.r spectroscopy of combustion products in porous-matri burners. He received his Bachelors degree in Electrical Engineering in India. He was a Research Associate at the Centre for Laser Technology and Project Engi
Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive asse...
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Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive assertions. This paper describes a method based on fuzzy functions and an integrated performance index to model O/C using descriptive assertions to be used with mathematical formulas in optimization. Another issue addressed in this paper concerns the coordination of design elements when sequentially coupled, that is, when one leads the other and the performance of the follower depends greatly on the design of the leader. Based on neuro-fuzzy techniques, the method described here coordinates and optimizes sequentially coupled elements. The two methods are applied to machinery arrangement (MA) and pipe routing (PR). Preliminary models for optimization of MA and PR are described considering convenience, producibility: engine room size, interference and location as factors in the O/C set. Some test results from MA/PR applications are presented and discussed. The methods are generic and can be extended to other elements in ship design. They are mutually independent and may be used separately Two advantages of their use are an improvement in overall performance and a reduction in the need for redesign of elements.
Fuzzy conceptual graph programs are order-sorted fuzzy Iogic programs based on fuzzy conceptual graphs (FCGs). In this paper, we develop fuzzy unification and resolution proof procedure, taking into account fuzziness ...
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Recent applications of fuzzy control have created an urgent demand for fuzzy modeling techniques. Several methods for identification of fuzzy models from numerical input-output samples have been proposed. Among them, ...
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Recent applications of fuzzy control have created an urgent demand for fuzzy modeling techniques. Several methods for identification of fuzzy models from numerical input-output samples have been proposed. Among them, Sugeno and Yasukawa's method [6], which employs fuzzy c-means clustering, holds significant promises. This paper improves the method of Sugeno and Yasukawa. Identified fuzzy models are tuned at various stages by means of genetic algorithms, i.e., the numbers of input variables and rules are reduced and membership function parameters are adjusted. The technique, when applied to a nonlinear system, demonstrates its efficiency in a comparison with the original method of Sugeno and Yasukama.
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