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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Chen, Yuehui Peng, Lizhi Abraham, Ajith School of Information Science and Engineering Jinan University Jinan 250022 China IITA Professorship Program School of Computer Science and Engg. Chung-Ang University Seoul Korea Republic of

ISBN: (纸本)354034439X

The purpose of this study is to identify the hierarchical radial basis function neural networks and select important input features for each sub-RBF neural network automatically. Based on the pre-defined instruction/operator sets, a hierarchical RBF neural network can be created and evolved by using tree-structure based evolutionary algorithm. This framework allows input variables selection, over-layer connections for the various nodes involved. The HRBF structure is developed using an evolutionary algorithm and the parameters are optimized by particle swarm optimization algorithm. Empirical results on benchmark classification problems indicate that the proposed method is efficient. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Neural networks

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Business intelligence systems and metrics for the network-centric enterprise

Business intelligence systems and metrics for the network-ce...

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2006 IIE Annual Conference and Exposition

作者： Buhman, Charles Smith, Stephen Tepper School of Business Carnegie Mellon University Program Pittsburgh PA 15213 United States School of Computer Science Carnegie Mellon University Robotics Institute Intelligent Coordination and Logistics Laboratory Pittsburgh PA 15213 United States

This presentation describes on-going research focused on metrics and business intelligence systems for a new type of business form which we are calling the networked enterprise. Development of the metrics emphasizes analytical techniques that will enhance the network-centric enterprise's managers' ability to see the "big picture" and to enable more forward looking, predictive insight. Metrics for this new type of enterprise must assess network behavior characteristics as well. The metrics are being examined in pilot projects utilizing a network business intelligence system that captures and integrates data from participating firms' production systems.

关键词： Enterprise resource management

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Evaluating self-assessment and a placement examination for a first course in computer science: How do women and minority students fare?

Evaluating self-assessment and a placement examination for a...

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113th Annual ASEE Conference and Exposition, 2006

作者： Urban, Joseph Anderson-Rowland, Mary Navabi, Faye Banks, Debra Arizona State University United States Department of Computer Science Ira A. Fulton School of Engineering Inclusive Learning Communities Program United States ASU Department of Industrial Engineering ASEE Department of Computer Science Fulton School of Engineering Arizona State University United States Berkeley CA United States

The recruitment of women and minority students to computer science undergraduate degree programs has not kept pace with other science and engineering disciplines. The introductory computer science course is a contributing factor to the poor retention rates for students in general and worse yet for women and minority students. There is interest in revamping the introductory computer science course for improving student effectiveness and retention. In the meantime, the approach of centering the introductory computer science course on an industrial strength language, such as C++ and Java, is considered by some as a factor contributing to the retention problems. This paper discusses the role of a placement examination as the means for advisement on entry to the first course in computing. A self-assessment part of the placement examination that was coupled with correct responses can be used to aid in early identification for advisement and course support. © American Society for engineering Education, 2006.

关键词： computer science

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Customized benchmark generation using MDA

Customized benchmark generation using MDA

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5th Working IEEE/IFIP Conference on Software Architecture (WISCA 2005)

作者： Zhu, Liming Liu, Yan Gorton, Ian Bui, Ngoc Bao Empirical Software Engineering Program National ICT Australia Ltd. Australia School of Computer Science and Engineering University of New South Wales Australia Faculty of Information Technology University of Technology Sydney Australia

ISBN: (纸本)0769525482

This paper describes an approach for generating customized benchmark applications from a software architecture description using a Model Driven Architecture (MDA) approach. The benchmark generation and performance data capture tool implementation is based on widely used open source MDA frameworks. The business logic of the benchmark application is modeled in UML and generated by taking advantage of the existing generation "cartridges" so that the current component technology can be exploited in the benchmark. This greatly reduces the effort and expertise needed for benchmarking with complex component technology. We have also extended the MDA framework to model and generate a load testing suite and automatic performance measurement infrastructure. The approach complements current model-based performance prediction and analysis methods by generating the benchmark application from the same application architecture that the performance models are derived from. This provides the potential for tightly integrating runtime performance measurement with model-based prediction either for model validation or improving model prediction accuracy, We illustrate the approach using a case study based on EJB component technology.

关键词： Software architecture

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GA optimization of OBF TS fuzzy models with linear and non linear local models

GA optimization of OBF TS fuzzy models with linear and non l...

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9th Brazilian Symposium on Neural Networks, SBRN'06

作者： Medeiros, Anderson V. Amaral, Wagner C. Campello, Ricardo J. G. B. State University of Campinas School of Electrical and Computer Engineering Campinas SP 13083-970 Brazil Catholic University of Santos Graduate Program in Computer Science Santos SP 11070-906 Brazil

ISBN: (纸本)0769526802

OBF (Orthonormal Basis Function) Fuzzy models have shown to be a promising approach to the areas of nonlinear system identification and control since they exhibit several advantages over those dynamic model topologies usually adopted in the literature. Although encouraging application results have been obtained, no automatic procedure had yet been developed to optimize the design parameters of these models. This paper elaborates on the use of a genetic algorithm (GA) especially designed for this task, in which a fitness function based on the Akaike information criterion plays a key role by considering both model accuracy and parsimony aspects. The use of linear (actually affine) and nonlinear local models is also investigated. The proposed methodology is evaluated in the modeling of a real nonlinear magnetic levitation system. © 2006 IEEE.

关键词： Fuzzy sets

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Identifying offline muscle strength profiles sufficient for short-duration FES-LCE exercise: A PAC learning model approach

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Journal of Clinical Monitoring and Computing 2006年第3期20卷 209-220页

作者： Trumbower, Randy D. Rajasekaran, Sanguthevar Faghri, Pouran D. Sensory Motor Performance Program Rehabilitation Institute of Chicago Northwestern University Storrs CT United States School of Engineering Department of Computer Science and Engineering Storrs CT United States School of Allied Health Department of Health Promotion University of Connecticut 358 Mansfield Road Storrs CT 06269-2101 United States

Functional electrical stimulation-induced leg cycle ergometry (FES-LCE) provides therapeutic exercise for persons with spinal cord injury (SCI). However, there exists no systematic approach to predict whether an individual has sufficient thigh muscle strength necessary for FES-LCE exercise. Objective. To develop and test a Probably Approximately Correct (PAC) learning model as a predictor of thigh muscle strengths sufficient for short-duration FES-LCE exercise and compare the model's performance with other well-known statistical methods. Methods. Six healthy male individuals with SCI, having age (32.0 ± 12.5 years), height (1.8 ± 0.04 m), and weight (79.12 ± 10.76 kg), participated in static and dynamic experiments. During static experiments, absolute crank torque measurements were used to estimate thigh muscle strengths in response to maximum FES intensities of 70 mA, 105 mA, and 140 mA at fixed crank positions on an FES-LCE. During dynamic experiments, changes in power output measurements were used to classify rider performance as 'Fatigue' or 'No Fatigue' during short-duration FES-LCE at maximum stimulation intensities of 70 mA, 105 mA, and 140 mA and flywheel resistance levels of 0/8th, 1/8th, and 2/8th kilopounds. A Probably Approximately Correct (PAC) learning model was developed to classify static offline muscle strength observations with online rider performances. PAC's discriminatory power was compared with logistic regression (LR), Fisher's linear discriminant analysis (LDA), and an artificial neural network (ANN) model. Results. PAC and ANN learning models correctly identified 100% of the training examples. PAC's average performance on the validation set was 93.1%. The ANN and LR performed comparable with 92.8% and 93.1% accuracy, respectively. The LDA method faired well on the validation set at 89.9%. Conclusions. PAC performed well in identifying muscle strengths associated with the online performance criterion. Although PAC did not perform best during

关键词： Muscle

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A hybrid rough set - Particle swarm algorithm for image pixel classification

A hybrid rough set - Particle swarm algorithm for image pixe...

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6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006

作者： Das, Swagatam Abraham, Ajith Sarkar, Subir Kumar Department of Electronics and Telecommunication Engineering Jadavpur University Kolkata 700032 India IITA Professorship Program School of Computer Science Yonsei University Seoul Korea Republic of

ISBN: (纸本)0769526624

This article presents a framework to hybridize the rough set theory with a famous swarm intelligence algorithm known as Particle Swarm Optimization (PSO). The hybrid rough-PSO technique has been used for grouping the pixels of an image in its intensity space. Medical and remote sensing satellite images become corrupted with noise very often. Fast and efficient segmentation of such noisy images (which is essential for their further interpretation in many cases) has remained a challenging problem for years. In this work, we treat image segmentation as a clustering problem. Each cluster is modeled with a rough set. PSO is employed to tune the threshold and relative importance of upper and lower approximations of the rough sets. Davies-Bouldin clustering validity index is used as the fitness function, which is minimized while arriving at an optimal partitioning. © 2006 IEEE.

关键词： Image segmentation

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UML-based service robot software development: A case study

UML-based service robot software development: A case study

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28th International Conference on Software engineering 2006, ICSE '06

作者： Kim, Minseong Kim, Suntae Park, Sooyong Choi, Mun-Taek Kim, Munsang Gomaa, Hassan Department of Computer Science Sogang University Seoul Korea Republic of Center for Intelligent Robotics Frontier 21 Program Korea Institute of Science and Technology Seoul Korea Republic of Dept. of Information and Software Engineering George Mason University Fairfax VA 22030 United States

ISBN: (纸本)1595933751

The research field of Intelligent Service Robots, which has become more and more popular over the last years, covers a wide range of applications from climbing machines for cleaning large storefronts to robotic assistance for disabled or elderly people. When developing service robot software, it is a challenging problem to design the robot architecture by carefully considering user needs and requirements, implement robot application components based on the architecture, and integrate these components in a systematic and comprehensive way for maintainability and reusability. Furthermore, it becomes more difficult to communicate among development teams and with others when many engineers from different teams participate in developing the service robot. To solve these problems, we applied the COMET design method, which uses the industry-standard UML notation, to developing the software of an intelligent service robot for the elderly, called T-Rot, under development at Center for Intelligent robotics (CIR). In this paper, we discuss our experiences with the project in which we successfully addressed these problems and developed the autonomous navigation system of the robot with the COMET/UML method. Copyright 2006 ACM.

关键词： Intelligent robots

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Guest editorial nonlinear optimization of communication systems

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IEEE Journal on Selected Areas in Communications 2006年第8期24卷 1421-1423页

作者： Chiang, Mung Low, Steven H. Luo, Zhi-Quan Shroff, Ness B. Yu, Wei Steenstrup, M. Princeton University Department of Electrical Engineering Program in Applied and Computational Mathematics Princeton NJ 08544 United States California Institute of Technology Department of Computer Science Pasadena CA 91125 United States University of Minnesota Department of Electrical and Computer Engineering Minneapolis MN 55455 United States Purdue University School of Electrical and Computer Engineering West Lafayette IN 47907 United States University of Toronto Edward S. Rogers Sr. Department of Electrical and Computer Engineering Toronto Ont. M4S 3G5 Canada

No abstract available

关键词： Communication systems Design optimization Communication system control Optimization methods Protocols Distributed algorithms Power system modeling Nonlinear control systems Lagrangian functions Surges

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Are concepts of technical & engineering literacy included in state curriculum standards? A regional overview of the nexus between technical & engineering literacy and state science frameworks

Are concepts of technical & engineering literacy included in...

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113th Annual ASEE Conference and Exposition, 2006

作者： Kochler, Cathi Giblin, David Moss, David M. Faraclas, Elias Kazerounian, Kazem University of Connecticut United States Neag School of Education University of Connecticut United States Galileo Program University of Connecticut United States Department of Education Neag School of Education University of Connecticut United States Study Abroad Program United Kingdom University of Connecticut School of Engineering Department of Electrical and Computer Engineering United States Instrument Manufacturing Company Storrs CT United States Department of Mechanical Engineering University of Connecticut United States ASME Robotics and Mechanisms Committee Galileo Project

The use of technology in the classroom has been a driving force behind developing a technically literate society. Reform documents such as science for All Americans: Project 2061[1], Benchmarks for Scientific Literacy[2]and the National science Education Standards [NSES][3]include sections titled, science and Technology and The Nature of Technology, as a means to foster technical literacy for students in grades K-12. In NSES, the goal of the science and Technology content standard is for all students to develop "abilities of technological design and understanding about science and technology." These reform documents have been the framework to foster science, technical and engineering literacy for students in grades K-12 across the United States as guided by their state science frameworks, however are states achieving this goal? Although these documents promote the need for understanding technology as it applies to science, how have states incorporated these principles into their own science curriculum standards? This investigation is part 2 of a multi-series project to understanding how public schools are training students to become technically literate. In part 1 presented at the 2005 ASEE Conference, we defined technical literacy to be "the ability of an individual to make informed decisions based upon an evolving understanding of the fundamentals of modern technologies." To accomplish this goal, we proposed the engineering Education Frameworks[5](EEF), which defined a pathway toward technical literacy for high school students. It was our intent to develop this set of guidelines to address technical literacy for secondary public schools. These Frameworks were designed to facilitate and promote the simultaneous teaching of multiple science disciplines in concert with mathematics while incorporating engineering concepts and designs. In part 2 of this project, we explore how various states in the United States include aspects of EEF in their science state frameworks

关键词： engineering education

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