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International Conference on Advanced Learning Technologies (ICALT)

作者： Jorge Hernandez Silvia Baldiris Olga C. Santos Ramón Fabregat Jesus G. Boticario System Engineering Program Corporación Universitaria de la Costa Colombia Institute of Informatics and Aplications (IliA) Universidad de Girona Spain ADeNu Research Group Artificial Intelligence Department Computer Science School UNED (Spanish National University of Distance Education) Spain aDeNu Research Group Computer Science School UNED

Active modeling is required in learning settings to cope with the dynamic evolution of the knowledge, since learners competences evolves over time as they participate in the course activities. Moreover, one of the main issues in a competence based eLearning process is to deliver personalized instructional designs adjusted to both 1) intrinsic characteristics of users (i.e. learning styles) and 2) the desired and achieved competences in the learning process (i.e. specific and generic competences). This delivery includes the adaptation of the content and the activities in a learning scenario based on a dynamic user model that evolves according to user interactions. In this paper, an approach to support Conditional Plans Generation (IMS Learning Designs) in the context of a virtual learning environment is presented. The process is supported by a pervasive usage of standards and specifications (IMS family of specifications) in conjunction with an integral user modeling.

关键词： Learning Artificial intelligence Process planning Monitoring Technology planning Design engineering Knowledge engineering Systems engineering and theory Informatics computer science

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Linguistic text mining for problem reports

Linguistic text mining for problem reports

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IEEE International Conference on Systems, Man and Cybernetics

作者： Jane T. Malin Christopher Millward Hansen A. Schwarz Fernando Gomez David R. Throop Carroll Thronesbery Software Robotics and Simulation Division NASA-Johnson Space Center Houston USA Boeing Aerospace Company Houston USA School of Electrical Engineering and Computer Science University of Central Florida Orlando USA S and K AeroSpace Inc. Houston USA

This paper describes a linguistic text mining tool for analyzing problem reports in aerospace engineering and safety organizations. The semantic trend analysis tool (STAT) helps analysts find and review recurrences, similarities and trends in problem reports. The tool is being used to analyze engineering discrepancy reports at NASA Johnson Space Center. The tool has been augmented with a statistical natural language parser that also resolves parsing gaps and identifies verb arguments and adjuncts. The tool uses an aerospace ontology augmented with features of taxonomies and thesauruses. The ontology defines hierarchies of problem types, equipment types and function types. STAT uses the output of the parser and the aerospace ontology to identify words and phrases in problem report descriptions that refer to types of hazards, equipment damage, performance deviations or functional impairments. Tool performance has been evaluated on 120 problem descriptions from problem reports, with encouraging results.

关键词： Text mining Ontologies USA Councils Natural languages Data mining NASA Software safety Aerospace engineering Aerospace safety Hazards

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Tool wear forecast using Singular Value Decomposition for dominant feature identification

Tool wear forecast using Singular Value Decomposition for do...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Chee Khiang Pang Jun-Hong Zhou Frank L. Lewis Zhao-Wei Zhong Department of Electrical and Computer Engineering National University of Singapore Singapore Automation & Robotics Research Institute University of Texas Arlington Fort Worth TX USA Institute of Manufacturing Technology Agency for Science Technology and Research (ASTAR) Singapore School of Mechanical and AeroSpace Engineering Nanyang Technological University Singapore Singapore

Identification and prediction of lifetime of industrial cutting tools using minimal sensors is crucial to reduce production costs and down-time in engineering systems. In this paper, we provide a formal decision software tool to extract the dominant features enabling tool wear prediction. This decision tool is based on a formal mathematical approach that selects dominant features using the singular value decomposition (SVD) of real-time measurements from the sensors of an industrial cutting tool. It is shown that the proposed method of dominant feature selection is optimal in the sense that it minimizes the least-squares estimation error. The identified dominant features are used with the recursive least squares (RLS) algorithm to identify parameters in forecasting the time series of cutting tool wear on an industrial high speed milling machine.

关键词： Singular value decomposition Cutting tools Sensor systems Production systems Costs Systems engineering and theory Software tools Feature extraction Sensor phenomena and characterization Estimation error

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Social Influence Models Based on Starbucks Networks

Social Influence Models Based on Starbucks Networks

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International Conference on Computational Aspects of Social Networks, CASON

作者： Minkyoung Kim Byoung-Tak Zhang June-Sup Lee Personalization Team SK Telecom South Korea Interdisciplinary Program in Cognitive Science Seoul National University South Korea School of Computer Science and Engineering Seoul National University Seoul South Korea Personalization Team SK Telecom Seoul South Korea

Starbucks coffee shops have been spread rapidly and widely all over the world, which implies that there may be diffusive powers among them and thus can be represented as social networks. In particular, the spreading speed of Starbuck Korea was at record levels. In this paper, we constructed social networks using the information about Starbuck Korea (ex. latitude and longitude of each Starbucks store in Korea, the opening date of them, opening orders of them, etc.) and evaluated influence scores of each store to measure the spreading power of Starbucks in Korea. Here, we proposed two network evaluation models, Dynamic Influence Model and Static Influence Model. Through these models, we can represent location based social networks and evaluate each node's diffusive power for expanding the size of networks and for spreading coverage all over the network.

关键词： Social network services Technological innovation computer networks Telecommunication computing Cognitive science computer science Power engineering and energy Power measurement TV Joining processes

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Biomimetic evolutionary analysis: Robotically-simulated vertebrates in a predator-prey ecology

Biomimetic evolutionary analysis: Robotically-simulated vert...

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IEEE Symposium on Artificial Life, ALIFE

作者： Nicole Doorly Kira Irving Gianna McArthur Keon Combie Virginia Engel Hassan Sakhtah Elise Stickles Hannah Rosenblum Andres Gutierrez Robert Root Chun Wai Liew John H. Long Mechanical and Aerospace Engineering Department Case Western Reserve University Cleveland OH USA Interdisciplinary Robotics Research Laboratory and the Cognitive Science Program Vassar College Poughkeepsie NY USA Neuroscience Institute Stanford University School of Medicine Stanford CA USA Neuroscience and Behavior Program Vassar College Poughkeepsie NY USA Memorial Sloan Kettering Cancer Care Center New York NY USA Department of Biology Vassar College Poughkeepsie NY USA Biochemistry Program Vassar College Poughkeepsie NY USA College of Medicine Howard University College of Medicine Washington D.C. USA School of Oceanography University of Washington Seattle WA USA Vassar College Poughkeepsie NY USA Department of Mathematics Lafayette College Easton PA USA Computer Science Department Lafayette College Easton PA USA Interdisciplinary Robotics Research Laboratory the Department of Biology and the Cognitive Science Program Vassar College Poughkeepsie NY USA

To test adaptation hypotheses about the evolution of animals, we need information about the behavior of phenotypically-variable individuals in a specific environment. To model behavior of ancient fish-like vertebrates, we previously combined evolutionary robotics and software simulations to create autonomous biomimetic swimmers in a simple aquatic environment competing and foraging for a single source of food. This system allowed us to test the hypothesis that selection for improved forage navigation drove the evolution of stiffer tails. In this paper, we extend our framework to evaluate more complex environments and hypotheses. Specifically, we test the hypothesis that predator-prey dynamics and the need for effective foraging strategies, operating simultaneously, were key selection pressures driving the evolution of morphological and sensory traits in early, fish-like vertebrates. Three evolvable traits were chosen because of their importance in propulsion and predator avoidance: (1) the number of vertebrae in the axial skeleton, (2) the trailing edge span of the caudal fin, and (3) the sensitivity of the sensory lateral line. To produce variable offspring, we used a genetic algorithm that rewarded parents with high fitness, allowing them to mate randomly and combine their mutated gametes. Offspring were then instantiated as autonomous embodied robots, the prey. These prey were chased by a non-evolving autonomous predator. Both kinds of robots were surface swimmers. The prey used a control architecture based on that of living fish: a two-layer subsumption architecture with predator escape over-riding steady swimming during foraging. The performance of six different prey robots in each generation was judged with a relative fitness function that rewarded a combination of high speed, rapid escape acceleration, escape responses, and the ability to stay away from the predator while at the same time staying close to the food source. This approach, which we call biomimet

关键词： Biomimetics Environmental factors Biological system modeling System testing Evolution (biology) Robot sensing systems Animals Navigation Tail Propulsion

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Identification of cell cycle-related regulatory motifs using a kernel canonical correlation analysis

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BMC Genomics 2009年第SUPPL. 3期10卷 1-10页

作者： Rhee, Je-Keun Joung, Je-Gun Chang, Jeong-Ho Fei, Zhangjun Zhang, Byoung-Tak Graduate Program in Bioinformatics Seoul National University Seoul 151-744 South Korea Center for Biointelligence Technology (CBIT) Seoul National University Seoul 151-744 South Korea Boyce Thompson Institute for Plant Research Cornell University Ithaca NY 14853 United States Konan Technology Inc Seoul 135-080 South Korea USDA Robert W. Holley Center for Agriculture and Health Ithaca NY 14853 United States School of Computer Science and Engineering Seoul National University Seoul 151-744 South Korea

Background: Gene regulation is a key mechanism in higher eukaryotic cellular processes. One of the major challenges in gene regulation studies is to identify regulators affecting the expression of their target genes in specific biological processes. Despite their importance, regulators involved in diverse biological processes still remain largely unrevealed. In the present study, we propose a kernel-based approach to efficiently identify core regulatory elements involved in specific biological processes using gene expression profiles. Results: We developed a framework that can detect correlations between gene expression profiles and the upstream sequences on the basis of the kernel canonical correlation analysis (kernel CCA). Using a yeast cell cycle dataset, we demonstrated that upstream sequence patterns were closely related to gene expression profiles based on the canonical correlation scores obtained by measuring the correlation between them. Our results showed that the cell cycle-specific regulatory motifs could be found successfully based on the motif weights derived through kernel CCA. Furthermore, we identified co-regulatory motif pairs using the same framework. Conclusion: Given expression profiles, our method was able to identify regulatory motifs involved in specific biological processes. The method could be applied to the elucidation of the unknown regulatory mechanisms associated with complex gene regulatory processes. © 2009 Rhee et al;licensee BioMed Central Ltd.

关键词： Canonical Correlation Analysis Regulatory Motif Upstream Sequence Gene Expression Dataset Yeast Cell Cycle

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Identification of cell cycle-related regulatory motifs using a kernel canonical correlation analysis

Identification of cell cycle-related regulatory motifs using...

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8th International Conference on Bioinformatics: Computational Biology, InCoB 2009

作者： Rhee, Je-Keun Joung, Je-Gun Chang, Jeong-Ho Fei, Zhangjun Zhang, Byoung-Tak Graduate Program in Bioinformatics Seoul National University Seoul 151-744 Korea Republic of Seoul National University Seoul 151-744 Korea Republic of Boyce Thompson Institute for Plant Research Cornell University Ithaca NY 14853 United States Konan Technology Inc. Seoul 135-080 Korea Republic of USDA Robert W. Holley Center for Agriculture and Health Ithaca NY 14853 United States School of Computer Science and Engineering Seoul National University Seoul 151-744 Korea Republic of

关键词： Gene expression

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The new robotics engineering bs program at WPI

The new robotics engineering bs program at WPI

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2008 ASEE Annual Conference and Exposition

作者： Ciaraldi, Michael Cobb, Eben Cyganski, David Gennert, Michael Demetroiu, Michael Looft, Fred Michalson, William Miller, Bradley Rong, Yiming Schachterle, Lance Stafford, Kenneth Tryggvason, Gretar Van De Ven, James Worcester Polytechnic Institute Worcester Polytechnic Institute 100 Institute Rd. Worcester MA 01609 United States Department of Computer Science Department of Mechanical Engineering Department of Electrical and Computer Engineering Robotics Engineering Program Robotics Resource Center Department of Mechanical Engineering Department of English

In the spring of 2007, Worcester Polytechnic Institute introduced a BS degree program in robotics engineering. The degree program is a collaborative effort, involving faculty from the departments of computer science, Electrical and computer engineering and Mechanical engineering. The motivation for establishing the program is two-fold: needs of the rapidly growing robotics industry and student interest as demonstrated by numerous high school robotics competitions. The program relies in part on already existing courses, but the core curriculum consists of five new "unified robotics engineering" courses. Although robotics engineering is not recognized as a distinct engineering field by ABET, the program is designed to be accreditable under the "General engineering" ABET criteria. While the program is less than a year old, there is already significant student interest. © American Society for engineering Education, 2008.

关键词： engineering education

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Efficient color feature extraction and matching for motion estimation and mapping

Efficient color feature extraction and matching for motion e...

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2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

作者： Hwang, Hyoseok Kweon, In-So Robotics Program Korea Advanced Institute of Science and Technology Daejon Korea Republic of Faculty of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology Daejon Korea Republic of

ISBN: (纸本)9781424420582

Feature extraction and matching is one of the most significant research areas in robot vision. In this paper, we present a new method for motion estimation and mapping using color feature extraction and matching. The proposed method reduces computational cost and has good performance. The experimental result shows that the proposed method not only runs faster but provides accurate result.

关键词： Motion estimation

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Integrating global warming into a freshman engineering introductory course

Integrating global warming into a freshman engineering intro...

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2008 ASEE Annual Conference and Exposition

作者： Rowley, Blair Yelamarthi, Kumar Bazzoli, Thomas Wright State University Department of Biomedical Industrial and Human Factors Engineering College of Engineering and Computer Science Department of Geriatrics Boonshort School of Medicine Freshman Engineering Computer Science Program

Managing the problems that global warming is being forecast to cause is going to require the educated attention of many disciplines. One of these has to be engineering as engineers are trained in the practical application of science and technology to meet human needs. What is being presented here is how we have restructured part of our course to provide lecture content and laboratory experiences on global warming. We are fortunate to have a course that provides the framework to accomplish this, our freshman course EGR 190 Fundamentals of engineering and computer science (FECS). This course has been modified to include pre and post global warming perception surveys, an introduction to global warming using the video "An Inconvenient Truth", mini lectures on alternative energy and two lectures and labs involving solar, wind, and hydrogen fuel cells as energy sources and a writing across the curriculum assignment on global warming. The paper includes the revised structure of the lectures and labs, how the video is integrated, and the response of the students through their writing across the curriculum assignment. Details on the pre and post perception survey has been submitted as a separate paper. © American Society for engineering Education, 2008.

关键词： Global warming

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