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2003 ASEE Annual Conference and Exposition: Staying in Tune with engineering Education

作者： Sluss Jr., James J. Kartalopoulos, Stamatios V. Refai, Hazem H. Riley, Marty J. Verma, Pramode K. Telecommunications Systems College of Engineering University of Oklahoma Tulsa Department of Computer Engineering Telecommunications Systems Program University of Oklahoma Tulsa Dept. of Telecom. Networking Interoperability Laboratory University of Oklahoma Tulsa Telecommunications Systems Program

The University of Oklahoma has developed a Telecommunications Interoperability Laboratory to enhance the educational and research experience of students in the Telecommunications systems program. The Interoperability Lab is a collection of five interconnected technology islands: the Internet Protocol (IP), Asynchronous Transfer Mode (ATM), Optical, Wireless, and Legacy. Each island is designed as an entity in its own right, but also provides the interconnection capability with any combination of other islands to create a fully functional end-to-end networking environment. This paper describes the architecture of the Interoperability Lab, as well as how it will impact the education of our students.

关键词： Telecommunication systems

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Identifying opinionated sentences

Identifying opinionated sentences

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2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, HLT-NAACL 2003

作者： Wilson, Theresa Pierce, David R. Wiebe, Janyce Intelligent Systems Program University of Pittsburgh United States Department of Computer Science and Engineering University of Buffalo The State University of New York United States Department of Computer Science University of Pittsburgh United States

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RJSSim: A reconfigurable job scheduling simulator for parallel processing learning 33

RJSSim: A reconfigurable job scheduling simulator for parall...

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33rd Annual Frontiers in Education, FIE 2003

作者： Góes, Luís F.W. Martins, Carlos A.P.S. Pontifical Catholic University of Minas Gerais Post-Graduation Program in Electrical Engineering Computational and Digital Systems Laboratory Belo HorizonteMG Brazil Pontifical Catholic University of Minas Gerais Computer Science Department Post-Graduation Program in Electrical Engineering Computational and Digital Systems Laboratory Belo HorizonteMG Brazil

ISBN: (纸本)0780379616

In this work, we present and analyze the use of a reconfigurable job scheduling simulator called RJSSim as an aid tool for parallel processing learning. This software is a functional and performance Java-based simulator of job scheduling policies. Our objectives are: to present RJSSim;to show the use of RJSSim and reconfigurability concepts for parallel processing learning. First, we present a prototype of RJSSim and the reconfigurability concept. Then we describe two case studies remarking the main parallel processing concepts and skills students can learn. In the first case study, we analyze two parallel algorithm models. In the second, we do some performance tests among parallel (reconfigurable) scheduling policies and architectures. Then, we analyze the performance through some metrics like response time, idle time etc. Finally we discuss and analyze the use of RJSSim for parallel processing learning. Our main contribution is: an implementation of RJSSim for parallel processing learning. © 2003 IEEE.

关键词： Parallel algorithms

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Controller Design via Adaptive Critic and Model Reference Methods

Controller Design via Adaptive Critic and Model Reference Me...

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International Joint Conference on Neural Networks 2003

作者： Lendaris, G.George Santiago, Roberta McCarthy, Jay Carroll, Michael Systems Science Ph.D. Program Electrical and Computer Engineering Portland State University Portland OR 97201 United States Systems Science Ph.D. Program Portland State University Portland OR 97201 United States Electrical Engineering Department Portland State University Portland OR 97201 United States Computational Neuroscience University of Chicago Chicago IL United States

Dynamic programming (DP) is a principled way to design optimal controllers for certain classes of nonlinear systems;unfortunately, DP is computationally very expensive. The Reinforcement Learning methods known as Adaptive Critics (AC) provide computationally feasible means for performing approximate Dynamic programming (ADP). The term 'adaptive ' in A C refers to the critic 's improved estimations of the Value Function used by DP. To apply DP, the user must craft a Utility function that embodies all the problem-specific design specifications/criteria. Model Reference Adaptive Control methods have been successfully used in the control community to effect on-line redesign of a controller in response to variations in plant parameters, with the idea that the resulting closed loop system dynamics will mimic those of a Reference Model. The work reported here 1) uses a reference model in ADP as the key information input to the Utility function, and 2) uses ADP off-line to design the desired controller. Future work will extend this to on-line application. This method is demonstrated for a hypersonic shaped airplane called LoFL YTE®;its handling characteristics are natively a little "hotter" than a pilot would desire. A control augmentation subsystem is designed using ADP to make the plane "feel like " a better behaved one, as specified by a Reference Model. The number of inputs to the successfully designed controller are among the largest seen in the literature to date.

关键词： Adaptive control systems

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Comparing software development processes using information theory

Comparing software development processes using information t...

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Portland International Conference on Management of engineering and Technology (PICMET)

作者： A.J. Bailetti J. Liu Department of Systems and Computer Engineering and the Eric Sprott School of Business Carleton University Ottawa ONT Canada Lead to Win Program Ottawa ONT Canada

Information theory is used to identify the criteria for comparing software development processes. We then use the criteria identified to make assertions about the capability maturity model (CMM) developed by the Software engineering Institute at Carnegie Mellon University via-a-vis the extreme programming (XP) process developed by Kent Beck.

关键词： programming Information theory Capability maturity model Coordinate measuring machines Software systems Software engineering SPICE systems engineering and theory Software maintenance Mathematics

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The design and implementation of a corporate householding knowledge processor to improve data quality

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JOURNAL OF MANAGEMENT INFORMATION systems 2003年第3期20卷 41-69页

作者： Madnick, S Wang, R Xian, X MIT United States Department of Information Technology Sloan School of Management United States Department of Engineering Systems School of Engineering MIT Information Quality Program United States MIT Total Data Qual. Mgmt. Program Department of Electrical Engineering Computer Science Honor Society National Engineering Honor Society United States Natl. Society of Collegiate Scholars Oracle Corporation United States

Advances in corporate householding are needed to address certain categories of data quality problems caused by data misinterpretation. In this paper, we first summarize some of these data quality problems and our more recent results from studying corporate householding applications and knowledge exploration. Then we outline a technical approach to a corporate householding knowledge processor (CHKP) to solve a particularly important type of corporate householding problem-entity aggregation. We illustrate the operation of the CHKP by using a motivational example in account consolidation. Our CHKP design and implementation uses and expands on the COntext INterchange (COIN) technology to manage and process corporate householding knowledge.

关键词： context mediation corporate household corporate householding database interoperability data quality enterprise knowledge management

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Fuzzy-neuro predictive control, tuned by genetic algorithms, applied to a fermentation process

Fuzzy-neuro predictive control, tuned by genetic algorithms,...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： J.A. Fabro L.V.R. Arruda Automation and Advanced Control Systems Labratory-LASCA Graduate Program on Electrical Engineering and Applied Computer Science-CPGEI Federal Centre of Technological Education of Paraná Curitiba Parana Brazil

This paper proposes the development of a fuzzy predictive control. Genetic algorithms (GA's) are used to automatically tune the controller. A recurrent neural network is used to identify the process, and then provides predictions about the process behavior, based on control actions applied to the system. These predictions are used by the fuzzy controller, in order to accomplish a better control of an alcoholic fermentation process from chemical industry. This problem has been chosen due to its non-linearity and large accommodation time, that make it hard to control by standard controllers. Comparison of performance is made with non-predictive approaches(PID and Fuzzy-PD), and also with another predictive approach, GPC(Generalized Predictive Control).

关键词： Predictive control Genetic algorithms Control systems Fuzzy control Alcoholism Recurrent neural networks Nonlinear control systems Artificial intelligence Biomass Control system synthesis

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Process monitoring via independent components

Process monitoring via independent components

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IEEE International Conference on systems, Man and Cybernetics

作者： T.T. Shannon D. Abercrombie J. McNames Systems Science Program Portland State University Portland OR USA LSI Logic Inc. Gresham OR USA Electrical and Computer Engineering Department Portland State University Portland OR USA

We propose a method for process monitoring of a semiconductor manufacturing process. Independent component analysis (ICA) is applied to characterize E-test parameter data. We calculate angular confidence intervals for the model, eliminate marginally significant components and implement control charts for significant components of interest. Alarms are generated off of deviations in the charted components. Alarms are easily used in process diagnosis based on the interpretation of the independent components.

关键词： Independent component analysis Manufacturing processes Process control computerized monitoring Semiconductor device manufacture Production Circuit testing Random variables Mutual information Principal component analysis

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A CRCD experience: Integrating machine learning concepts into introductory engineering and science programming courses

A CRCD experience: Integrating machine learning concepts int...

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2003 ASEE Annual Conference and Exposition: Staying in Tune with engineering Education

作者： Georgiopoulos, Michael Russell, Ingrid Castro, Jose Wu, Annie Kysilka, Marcella Demara, Ronald Gonzalez, Avelino Gelenbe, Erol Mollaghasemi, Mansooreh Sch. of Elec. Eng. and Comp. Science University of Central Florida Department of Computer science University of Hartford Intelligent Systems Focus Group IEEE-CS/ACM Computer Engineering Program University of Central Florid Education Foundations Department University of Central Florida Sch. of Elec. Eng. and Comp. Science Coll. of Eng. and Computer Science University of Central Florida Indust. Eng. and Mgmt. Sci. Dept. University of Central Florida

Machine Learning has traditionally been a topic of research and instruction in computer science and computer engineering programs. Yet, due to its wide applicability in a variety of fields, its research use has expanded in other disciplines, such as electrical engineering, industrial engineering, civil engineering, and mechanical engineering. Currently, many undergraduate and first-year graduate students in the aforementioned fields do not have exposure to recent research trends in Machine Learning. This paper reports on a project in progress, funded by the National Science Foundation under the program Combined Research and Curriculum Development (CRCD), whose goal is to remedy this shortcoming. The project involves the development of a model for the integration of Machine Learning into the undergraduate curriculum of those engineering and science disciplines mentioned above. The goal is increased exposure to Machine Learning technology for a wider range of students in science and engineering than is currently available. Our approach of integrating Machine Learning research into the curriculum involves two components. The first component is the incorporation of Machine Learning modules into the first two years of the curriculum with the goal of sparking student interest in the field. The second is the development of new upper level Machine Learning courses for advanced undergraduate students. The paper will describe the first phase of the project, that of the integration of Machine Learning concepts into introductory engineering and science programming courses through appropriately designed programming projects.

关键词： engineering education

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A summating, exponentially-decaying CMOS synapse for spiking neural systems 03

A summating, exponentially-decaying CMOS synapse for spiking...

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Proceedings of the 17th International Conference on Neural Information Processing systems

作者： Rock Z. Shi Timothy Horiuchi Electrical and Computer Engineering Department University of Maryland College Park MD and Institute for Systems Research University of Maryland College Park MD Electrical and Computer Engineering Department University of Maryland College Park MD and Institute for Systems Research University of Maryland College Park MD and Neuroscience and Cognitive Science Program University of Maryland College Park MD

Synapses are a critical element of biologically-realistic, spike-based neural computation, serving the role of communication, computation, and modification. Many different circuit implementations of synapse function exist with different computational goals in mind. In this paper we describe a new CMOS synapse design that separately controls quiescent leak current, synaptic gain, and time-constant of decay. This circuit implements part of a commonly-used kinetic model of synaptic conductance. We show a theoretical analysis and experimental data for prototypes fabricated in a commercially-available 1.5µm CMOS process.

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