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2007 Working Group Reports on ITiCSE on Innovation and Technology in computer science Education, ITiCSE-WGR 2007

作者： Cassel, Lillian N. Davies, Gordon Fone, William Hacquebard, Anneke Impagliazzo, John Leblanc, Richard Little, Joyce Currie McGettrick, Andrew Pedrona, Michela Department of Computing Sciences Villanova University VillanovaPA19085 1699 United States Department of Computing Engineering and Technology Staffordshire University Stafford StaffordshireST18 0DP United Kingdom Department of Informatics and Education Keppelseweg 34 Hummelo6999 AR Netherlands Department of Computer Science Hofstra University HempsteadNY11549 United States Georgia Institute of Technology College of Computing DawsonvilleGA30534 United States Department of Computer and Information Sciences Towson University United States Department of Computer and Information Sciences University of Strathclyde Glasgow United Kingdom Department of Software Engineering ETH Zentrum RZ J8 ZurichCH-8092 Switzerland

ISBN: (纸本)9781450378420

Working Group 3 at ITiCSE 2007 continued the ongoing work of the Ontology of Computing project. The working group brought several new people into the project and addressed areas of the ontology of particular interest to these participants. In particular, the group worked on the Ontology sections related to History of Computing, Computing Security and Social and Ethical issues. With the intention of applying the ontology to the support of curriculum development in mind, the group also reviewed and discussed proposed means of presenting a visual representation of the ontology. There was also some work on the present structure of the ontology and future possibilities.

关键词： History

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A Preliminary Study of medical Image Distributed Intelligent Access Integrated with Electronic medical Records System for Brain Degenerative Disease

A Preliminary Study of Medical Image Distributed Intelligent...

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： Mei-Ju Su Heng-Shuen Chen Chung-Yi Yang Sao-Jie Chen Wen-Jeng Lee Po-Hsun Cheng Ping-Kung Yip Hon-Mon Liu Fei-Pei Lai Daniel Racoceanu Graduate Institute of Electronics Engineering College of Electrical Engineering and Computer Science National Taiwan University Taiwan National Taiwan University Taipei Taiwan Department of Family Medicine National Taipei University Hospital Taiwan Department of Medical Imaging National Taiwan University Hospital Taiwan Information System Office National Taiwan University Hospital Taiwan Department of Neurology National Taiwan University Hospital Taiwan Department of Computer Science and Information Engineering College of Electrical Engineering and Computer Science National Taiwan University Taiwan Institute for Infocomm Research

As the computer data storage capacity increases and technology of digital imaging progresses rapidly, today we can access and manipulate huge image database on the Internet. How to search and access intelligently on content based image database become an important focus in the field of multimedia research. In this study, a preliminary system of grid-distributed, contextual and semantic based, intelligent information access framework for medical images database was designed to integrate with radiology reports and clinical department information. A prototyping was established with a model of intelligent diagnostic and therapeutic decision support for brain degenerative diseases among radiologist and neurologist. Dementia was the first disease selected for implementation. In the future, the system will extend its spectrum of diseases and more clinical specialties.

关键词： Biomedical imaging Degenerative diseases medical diagnostic imaging Image databases Deductive databases Memory Digital images Internet Focusing Multimedia databases

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Robust quadratic optimal control of uncertain TS-fuzzy-model-based dynamic systems

Robust quadratic optimal control of uncertain TS-fuzzy-model...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Wen-Hsien Ho Jinn-Tsong Tsai Tung-Kuan Liu Jyh-Horng Chou Department of Medical Information Management Kaohsiung Medical University Taiwan Department of Computer Science National Ping Tung University of Education Taiwan Department of Mechanical and Automation Engineering National Kaohsiung First University of Science and Technology Taiwan Institute of System Information and Control National Kaohsiung First University of Science and Technology Kaohsiung Taiwan

This paper considers the design problem of the robust quadratic-optimal parallel-distributed-compensation (PDC) controllers for the Takagi-Sugeno (TS) fuzzy-model- based control systems with both elemental parametric uncertainties and norm-bounded approximation error. An integrative method, which complementarily fuses the robust stabilizability condition, the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA), is presented in this paper to design the robust quadratic-optimal PDC controllers, in which the robust stabilizability condition is proposed in terms of linear matrix inequalities (LMIs).

关键词： Robust control Optimal control Nonlinear control systems Control systems Uncertainty Approximation error Fuzzy control Fuzzy systems Algorithm design and analysis Nonlinear dynamical systems

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Construction of Training Environment for Surgical Exclusion with a Basic Study of Multi-finger Haptic Interaction

Construction of Training Environment for Surgical Exclusion ...

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World Haptics Conference

作者： Yoshihiro Kuroda Makoto Hirai Megumi Nakao Toshihiko Sato Tomohiro Kuroda Yasushi Masuda Osamu Oshiro Graduate School of Engineering Science Osaka University Japan Production Systems Research Laboratory Kobe Steel Company Limited Japan Graduate School of Information Science NAIST Japan Institute for Frontier Medical Sciences Kyoto University Japan Department of Medical Informatics Kyoto University Hospital Japan

Virtual reality based surgical simulator allows a repetitive training without spoiling patients. Exclusion is an important surgical manipulation of pushing aside organ to make a hidden tissue visible. The authors propose an organ exclusion training simulator with multi-finger haptic interaction and stress visualization. The system equips FEM-based soft tissue deformation and exoskeletal haptic device CyberForce. Real-time simulation was achieved with a prototype system. Results of training trial suggested effectiveness of stress visualization especially in early training days. Subjective evaluation by surgeons cleared its potential. Results of a basic study showed decrease of required refresh rate in multi-finger interaction compared with single finger interaction. It suggested the system can keep realism even if calculation time is increased by multi-finger interaction

关键词： Surgery Haptic interfaces Fingers Virtual reality Biological tissues Liver medical simulation Stress Visualization Real time systems

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Runtime reconfiguration of a modular mobile robot with serial and parallel mechanisms

Runtime reconfiguration of a modular mobile robot with seria...

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2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： H. X. Zhang S.Y. Chen W. Wang J. W. Zhang G. H. Zong Institute of Technical Aspects of Multimodal Systems Department of Computer Science University of Hamburg Hamburg Germany Dept of Informatics University of Hamburg Germany College of Information Engineering Zhejiang University of Technology Hangzhou China Robotic Institute School of Mechanical Engineering and Automation Beijing Aeronautics and Astronautics University Beijing China Cognitive Technology Laboratory Shenzhen Institute of Advanced Technology Shenzhen China

This paper presents a novel field robot JL-I based on a reconfigurable concept for urban search and rescue applications. The robot consists of three identical modules; each module is an entire robotic system that can perform distributed activities. It features three-degrees-of-freedom (DOF) active joints actuated by serial and parallel mechanisms for changing shape and flexible docking mechanism. The docking mechanism enables adjacent modules to connect or disconnect flexibly and automatically. DOF analysis, working space analysis and the kinematics of the 3D active joint between connected modules are studied thoroughly. In the end a series of successful tests confirm the principles and the robot's capabilities.

关键词： Runtime Mobile robots Orbital robotics Robotics and automation Space technology Intelligent robots Kinematics Testing Prototypes Accidents

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A novel modular climbing caterpillar using low-frequency vibrating passive suckers

A novel modular climbing caterpillar using low-frequency vib...

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

作者： H. X. Zhang J. Gonzalez-Gomez S.Y. Chen W. Wang R. Liu D. Li J. W. Zhang Institute of Technical Aspects of Multimodal Systems Department of Computer Science University of Hamburg Hamburg Germany School of Engineering Universidad Autonoma de Madrid Spain Department of Informatics University of Hamburg Germany College of Information Engineering Zhejiang University of Technology Hangzhou China Robotics Institute School of Mechanical Engineering and Automation Beijing Aeronautics and Astronautics University Beijing China

This paper presents a novel modular climbing caterpillar named ZC-I. After a related survey on the topic, a systematical summarizing on basic functions provided by this system is given. ZC-I features fast-building mechanical structure and low-frequency vibrating passive attachment principle. Active joints actuated by RC servos endow the connecting modules with the ability of changing shapes in two dimensions. After that the discussion focuses on the various locomotion capabilities. Linear movement, turning movement, lateral movement, rotating and rolling movement are achieved based on an inspired control model to produce rhythmic motion. In the end a conclusion and future work are given.

关键词： Climbing robots Prototypes Kinematics Servomechanisms Joining processes Shape Adhesives Electromagnetic forces Electromagnets Mobile robots

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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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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Gil Alterovitz Eugenia Lyashenko Michael Xiang Marco F. Ramoni Health Sciences and Technology Harvard Medical School Boston MA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Department of Biomedical Informatics Columbia University New York NY USA Division of Health Sciences and Technology Harvard Medical School and Massachusetts Institute of Technology Boston MA USA

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.

关键词： Joining processes Proteins Organisms Humans Mass spectroscopy Electrokinetics Genomics Bioinformatics Evolution (biology) Design for experiments

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Context Dependent Reconstructive Communication

Context Dependent Reconstructive Communication

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International Symposium on Computational Intelligence and Intelligent informatics, ISCIII

作者： Laszlo T. Koczy Tamas D. Gedeon Department of Computer Science Australian National University Canberra Australia Department of Telecommunications and Media Informatics Budapest University슠of슠Technology슠and슠Economics Budapest Hungary Institute of Mechanical Electrical Engineering and Information Technology Széchenyi István University Gyor Hungary

Fuzzy communication contains vague or imprecise components and it might lack of abundant information. If two entities (man or machine) are communicating by a fuzzy channel, it is necessary that both ends possess the same codebook. The codebook might partly consist of common knowledge but it usually requires a context dependent part that is either learned by the communicating entity or defined by expert knowledge. Possibly it is continuously adapting to the input information. If such a codebook is not available or it contains too imprecise information, the information to be transmitted might be too much distorted and might lead to misunderstanding, misinterpretation and serious damage. If however the quality of the available codebook is satisfactory, the communication will be efficient i. e., the original contents of the message can be reconstructed. At the same time it is cost effective, as fuzzy communication is compressed as compared to traditional "abundant communication".

关键词： Context Dairy products Telephony information technology computer science informatics Environmental economics Laboratories Communication effectiveness Humans

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AN EXPERIMENTAL STUDY ON GENETIC ALGORITHMS FOR RESOURCE ALLOCATION ON GRID SYSTEMS

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Journal of Interconnection Networks 2007年第4期8卷 427-443页

作者： FATOS XHAFA LEONARD BAROLLI ARJAN DURRESI Polytechnic University of Catalonia Department of Languages and Informatics Systems C/Jordi Girona 1-3 08034 Barcelona Spain Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT) 3-30-1 Wajiro-higashi Higashi-ku Fukuoka 811-0295 Japan Department of Computer and Information Science Purdue University School of Science Indianapolis 723 W. Michigan St. SL 280M Indianapolis IN 46202 USA

Computational Grid (CG) is an emerging paradigm in which geographically distributed resources are logically unified as a computational unit. A challenging problem in such systems is the allocation of jobs to resources that minimizes both makespan and flowtime parameters. In this paper, we present an experimental study on Genetic Algorithms (GAs) for scheduling independents jobs to Grid resources based on two replacement strategies: Steady-State GA (SSGA) and Struggle GA (SGA). SSGA distinguishes for its accentuated convergence of the population that rapidly reaches good solutions though it is soon stagnated. The SGA is based on struggle replacement and adaptively maintains diverse population, reducing thus convergence rapidity. The experimental results, based on a benchmark simulation model, showed that SGA outperforms SSGA for moderate size instances. On the other hand, the time needed by the SGA to reach makespan values obtained by the SSGA rapidly increases as more jobs and machines are added to the Grid. Thus, for larger size instances, SGA is not able to improve the results of the SSGA. Finally, we also report and analyze flowtime values for the considered benchmark.

关键词： Resource allocation Genetic Algorithm Job Scheduling Computational Grids ETC Simulation model

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PERFORMANCE EVALUATION OF REACTIVE AND PROACTIVE PROTOCOLS FOR AD-HOC SENSOR NETWORKS USING DIFFERENT RADIO MODELS

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Journal of Interconnection Networks 2007年第4期8卷 387-405页

作者： TAO YANG LEONARD BAROLLI MAKOTO IKEDA ARJAN DURRESI FATOS XHAFA Graduate School of Engineering Fukuoka Institute of Technology (FIT) 3-30-1 Wajiro-Higashi Higashi-Ku Fukuoka 811-0295 Japan Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT) 3-30-1 Wajiro-Higashi Higashi-ku Fukuoka 811-0295 Japan Department of Computer and Information Science Indiana University Perdue University Indianapolis 723 W. Michigan Street SL 280 Indianapolis IN 46202 USA Polytechnic University of Catalonia Department of Languages and Informatics Systems C/Jordi Girona 1-3 08034 Barcelona Spain

In this paper, we consider the behavior of a wireless ad-hoc sensor network for different radio models. By means of simulations, we analyze the performance of three protocols: AODV, DSR, and DSDV considering two radio models TwoRayGround and Shadowing. In difference with other works, we generalize the type of radio model by allowing the path loss randomnesses to be present in the service environment of the network. We study the perceived Goodput and Depletion of the ad-hoc sensor network and compare the performance of three protocols for different scenarios. The simulation results confirm the fact that the shadowing phenomena, by destroying the regularity of the network, reduce the mean distance among nodes and at the same time increase the interference level and the latency of packet transmission. In particular, we found a maximum relative difference of 70%. On the other hand, for the proactive DSDV routing protocol the energy consumption rate seems to be independent of the radio model, at least for moderate size of the network (256 nodes). Also, we found that the packet delivery ratio of AODV and DSR routing protocols are more stable than DSDV protocol.

关键词： Sensor networks Sensor-actor networks Ad-hoc networks Radio models Reactive protocols Proactive protocols

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