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114th Annual ASEE Conference and Exposition, 2007

作者： Furterer, Sandra Sharawi, Abeer Crumpton-Young, Lesia Rabelo, Luis Williams, Kent Gregg St John, H. East Carolina University United States Industrial Distribution and Logistics Program College of Technology and Computer Science East Carolina University United States University of Central Florida United States Industrial Engineering and Management Systems Department University of Central Florida United States EMG Consulting

This paper presents the results of an extensive research study to develop a national model for an undergraduate curriculum in Industrial Engineering. A departmental reform strategy was developed and applied to reengineer the IE curriculum. The reform strategy began with identifying the voice of the customer, including both industry and academic institutions which employ or enroll IE students after they graduate with their IE undergraduate degree. The emerging topics and desired characteristics of undergraduate IE graduates were identified in an earlier research study. These emerging topics were used in a focus group to identify high-level knowledge clusters of information that future IE graduates would need to master based on possible future work scenarios. The emerging topics were mapped to the high level knowledge clusters to generate curriculum requirements of future progress. This research effort developed a revised IE curriculum that can be used as a national model for IE departments. This curriculum focuses on nontraditional industry sectors, incorporating enhanced instructional strategies that can improve learning and retention, as well as state-of-the art technologies that support these strategies. The national model also includes material to help engineers gain knowledge that will help to prepare them for roles of leadership and management in their careers, as well as provides for recruiting strategies to increase the numbers of underrepresented minorities and women in IE programs. This paper describes the approach used in this research effort to develop the national model, as well as details of the resulting model for undergraduate IE curriculum. © American Society for Engineering Education, 2007.

关键词： Industrial engineering

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Applying Dynamic Software Architecture Management to Home Service Robot Software

Applying Dynamic Software Architecture Management to Home Se...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Dongsun Kim Sooyong Park Mun-Taek Choi Munsang Kim Department of Computer Science Sogang University Seoul South Korea Center for Intelligent Robotics Frontier 21 Program at Korea Institute of Science and Technology Seoul South Korea

Home service robots increasingly need to provide diverse and complex services such as cooking, sweeping and dishwashing. These services inevitably require a number of software functions simultaneously. For example, the cooking service requires an arm manipulation function to grasp dishes, an navigation function to move around, an object recognition function to find foods, an speech recognition function to understand user requirements, and etc. However, when the services and software functions are executed simultaneously in a robot without run-time software management, those may cause malfunction due to resource contention. In this paper, we describe the situation that causes resource contention and formulate architecture-based adaptation in robot software systems. Based on the formulation we proposed an approach to dynamic robot software management that effectively uses robot computing resources.

关键词： Software architecture Service robots Robotic assembly Software systems Intelligent robots Costs Robot sensing systems Human robot interaction Vehicle dynamics Navigation

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An information theoretic framework for ontology-based bioinformatics

An information theoretic framework for ontology-based bioinf...

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2007 Information Theory and Applications Workshop, ITA

作者： Alterovitz, Gil Xiang, Michael Ramoni, Marco F. Division of Health Sciences and Technology Harvard Medical School Massachusetts Institute of Technology Boston MA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Children's Hospital Informatics Program Boston MA United States Harvard Partners Center for Genetics and Genomics Harvard Medical School Boston MA United States Department of Biology Massachusetts Institute of Technology Cambridge MA United States

ISBN: (纸本)9780615153148

With myriad information being generated from high-throughput experiments such as microarrays and sequencing technologies, an ever-increasing amount of data is being recorded and analyzed with the help of hierarchical ontologies, such as the Gene Ontology (GO). We have developed a novel framework-based on the well established foundations of information theory - that allows for the evaluation of new types of hypotheses. The framework, encapsulated in Open Biomedical Ontology-Based Exploration and Search (OBOES), has already been applied in the investigation of different kinds of questions. The resulting framework enables the new field of information theoretic ontology-based analysis. We have applied this framework to create methods to re-engineer ontologies, explore fundamental questions on the evolution of biological complexity, determine optimal ontology terms for bioinformatics analysis, and quantify the usefulness of biofluids as proxies for tissues/diseases. In each case, we found that our methods provide novel, significant findings. An open source Java implementation of OBOES is available at: http://***. net.

关键词： Information theory

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Delivering Context-aware Learning Guidance in the Mobile Learning Environment based on Information Theory

Delivering Context-aware Learning Guidance in the Mobile Lea...

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International Conference on Advanced Learning Technologies (ICALT)

作者： Rita Kuo Min-Chang Wu Alex Chang Maiga Chang Jia-Sheng Heh Department of Electronic Engineer Chung Yuan Christian University Taiwan Department of Information and Computer Engineering Chung Yuan Christian University Taiwan Program Office of National Science and Technology Program for Learning in Taiwan Taiwan

Mobile Learning makes students get the advantages of both traditional learning and e-learning. How to give students learning sequence suggestions in the mobile learning environment is a big issue and is also the goal of this paper. This research uses knowledge map to store the characteristics of each learning object and designs a situated map to represent spatial knowledge in the mobile learning environment. By using these two knowledge structures, knowledge map and situated map, the system created by this research can generate various navigation sentences and ask students to observe the characteristics of learning objects. This research also takes information theory into consideration in order to decide which navigation sentence should deliver to the student first. The system calculates the entropy for each generated sentence and finds the most appropriate one to deliver to the student. At the end of this paper, an experiment system is implemented for the 5th year biology course, Plant Observation.

关键词： Information theory Navigation Electronic learning Mobile computing Knowledge representation Humans Cognition Personal digital assistants US Department of Transportation Sequences

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Using pitch, amplitude modulation, and spatial cues for separation of harmonic instruments from stereo music recordings

Eurasip Journal on Advances in Signal Processing

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Eurasip Journal on Advances in Signal Processing 2007年 2007卷

作者： Woodruff, John Pardo, Bryan Music Technology Program School of Music Northwestern University Evanston IL 60208 United States Department of Electrical Engineering and Computer Science Northwestern University Evanston IL 60208 United States

Recent work in blind source separation applied to anechoic mixtures of speech allows for improved reconstruction of sources that rarely overlap in a time-frequency representation. While the assumption that speech mixtures do not overlap significantly in time-frequency is reasonable, music mixtures rarely meet this constraint, requiring new approaches. We introduce a method that uses spatial cues from anechoic, stereo music recordings and assumptions regarding the structure of musical source signals to effectively separate mixtures of tonal music. We discuss existing techniques to create partial source signal estimates from regions of the mixture where source signals do not overlap significantly. We use these partial signals within a new demixing framework, in which we estimate harmonic masks for each source, allowing the determination of the number of active sources in important time-frequency frames of the mixture. We then propose a method for distributing energy from time-frequency frames of the mixture to multiple source signals. This allows dealing with mixtures that contain time-frequency frames in which multiple harmonic sources are active without requiring knowledge of source characteristics. Copyright © 2007 Hindawi Publishing Corporation. All rights reserved.

关键词： Harmonic generation

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Interpreting cabinet approval ratings by neural networks

Interpreting cabinet approval ratings by neural networks

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IASTED International Conference on Artificial Intelligence and Applications, AIA 2007

作者： Kamimura, Ryotaro Yoshida, Fumihiko Kitajima, Ryozo Information Science Laboratory Information Technology Center Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan Department of Media Studies Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan Graduate Program in Computer Sciences Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan

ISBN: (纸本)9780889866317

In this paper, we try to estimate Japan's cabinet approval ratings by using neural networks. In addition, we try to extract the important features in input patterns. This is the first attempt to use neural networks and to interpret the mechanism of inference for approval estimation in a comprehensive way. Experimental results show that neural networks have much better performance than that obtained by the standard regression analysis in terms of training and testing errors. The information loss analysis reveals that the first variable, that is, the previous ratings should play the most important role in inference. Though the experimental result here shown is a preliminary one, it certainly suggests a possibility of the automatic inference of cabinet approval ratings.

关键词： Feature extraction

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Dual-coding representations for robot vision programming in Tekkotsu

Dual-coding representations for robot vision programming in ...

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作者： Touretzky, David S. Halelamien, Neil S. Tira-Thompson, Ethan J. Wales, Jordan J. Usui, Kei Computer Science Department Carnegie Mellon University Pittsburgh PA 15213 United States Computation and Neural Systems Program California Institute of Technology California United States Robotics Institute Carnegie Mellon University Pittsburgh PA 15213 United States P. O. Box 821650 Vancouver WA 98682 Canada

We describe complementary iconic and symbolic representations for parsing the visual world. The iconic pixmap representation is operated on by an extensible set of "visual routines" (Ullman, 1984;Forbus et al., 2001). A symbolic representation, in terms of lines, ellipses, blobs, etc., is extracted from the iconic encoding, manipulated algebraically, and re-rendered iconically. The two representations are therefore duals, and iconic operations can be freely intermixed with symbolic ones. The dual-coding approach offers robot programmers a versatile collection of primitives from which to construct application-specific vision software. We describe some sample applications implemented on the Sony AIBO. © Springer science+Business Media, LLC 2007.

关键词： computer vision

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Linking protein mass with function via organismal massome networks

Linking protein mass with function via organismal massome ne...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Alterovitz, Gil Lyashenko, Eugenia Xiang, Michael Ramoni, Marco F. Division of Health Sciences and Technology Harvard Medical School Massachusetts Institute of Technology Boston MA United States Children's Hospital Informatics Program at Health Sciences and Technology Harvard Medical School Boston MA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Harvard Partners Center for Genetics and Genomics Harvard Medical School Boston MA United States Department of Biomedical Informatics Columbia University New York NY United States

ISBN: (纸本)1424415098

With the human genome sequenced, attention has been shifting to proteins and their function. Several technologies including mass spectrometry and gel electrophoresis have traditionally been used to study proteins. These technologies rely on proteins' masses to characterize and/or identify them. Once identified, the discovered proteins' are often analyzed for their functional relevance. In this paper, we present an alternative approach to studying protein function directly, based on protein mass. By analyzing proteins with similar mass ranges (bins), we discovered that certain biological functions are associated with specific mass bins more frequently than would be expected by chance. Biological functional classes found in this manner could be seen across the three examined organisms: human, worm and fly. We found no sequence-based homology across significant mass-function proteins in the three different organisms. This investigation leads to useful property that the mass-based biological functional classes are preserved across the organisms. Thus, this paper describes a potential constraint for evolution of similar function based on mass constraints. Finally, this work yields a roadmap for experimental design for functional exploration of proteomes in mass-based technologies such as gel electrophoresis and mass spectrometry. ©2007 IEEE.

关键词： Proteins

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Evolving hypernetwork classifiers for microRNA expression profile analysis

Evolving hypernetwork classifiers for microRNA expression pr...

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Congress on Evolutionary Computation

作者： Sun Kim Soo-Jin Kim Byoung-Tak Zhang The Center for Bioinformatics Technology Graduate Program in Bioinformatics Seoul National University Seoul South Korea The School of Computer Science and Engineering Seoul National University Seoul South Korea

High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for the microarrays show good performance, it is still difficult to infer modules of multiple co-regulated genes. Here, we present a novel classification method to identify the gene modules associated with cancers from microarray data. The proposed approach is based on 'hypernetworks', a hypergraph model consisting of vertices and weighted hyperedges. The hypernetwork model is inspired by biological networks and its learning process is suitable for identifying interacting gene modules. Applied to the analysis of microRNA (miRNA) expression profiles on multiple human cancers, the hypernetwork classifiers identified cancer-related miRNA modules. The results show that our method performs better than decision trees and naive Bayes. The biological meaning of the discovered miRNA modules has been examined by literature search.

关键词： Cancer Gene expression Biological system modeling Data analysis Support vector machines Support vector machine classification Evolutionary computation Humans Decision trees Diseases

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Quantitative and qualitative results of the national program for e-learning in Taiwan

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WSEAS Transactions on computers 2007年第3期6卷 546-551页

作者： Chang, Maiga Wang, Chin-Yeh Chen, Gwo-Dong National Science and Technology Program for e-Learning in Taiwan 300 Jhongda Rd. Chung-Li 32001 Taiwan Dept. of Computer Science and Information Engineering National Central Univ. 300 Jhongda Rd. Chung-Li 32001 Taiwan

This paper provides an overview of quantitative and qualitative outcome of the national program for e-learning in Taiwan (ELNP for short). The national program was planned and initiated in 2002 by the National science Council. Taiwan government wished to promote e-learning industry and make all people have same opportunity to learn knowledge via e-learning. A five-year national program for e-learning started from 2003. This paper shows both of quantitative and qualitative outcomes of national program in the past four years from four different ways: public welfare, academic researching output, e-learning industry, technological results.

关键词： E-learning

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