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2009 International Conference on Computational Intelligence and Security, CIS 2009

作者： Wang, Qingzhu Liu, Miao Wang, Ke Chen, Bo An, Donghong Ying, Ying College of Communication Engineering Jilin University Changchun China Department of Computer Science Daqing Petroleum Institute Jilin University Changchun China Department of Pharmacy Changchun Medical College Changchun China China-Japan Union Hospital Jilin University Changchun China College of Information and Communication Engineering Beijing University of Post and Telecommunication China

ISBN: (纸本)9780769539317

According to the matching differences cased by cardiac non-rigid motion between angiographic images before and after injected in subtract angiography which is most widely used in diagnosis, a new algorithm based on à trous wavelet of rotary Gaussian with adaptive space coefficient σ and segmentation based on transition region is put forward to in this paper. The angiographic image is pretreated by an adaptive and multi-hierarchy method to obtain images of different levels, and all sub-images are obtained by extracting the coronary artery from image of every level, all sub-images are fused to obtain the final image in accordance by certain rules. Simulation results based on 200 actual coronary artery angiographic images indicate that comparing with traditional algorithms, SNR is improved 4.7%-8.8%, and positioning accuracy of centerline is improved3.9%-37.5%. © 2009 IEEE.

关键词： Image enhancement

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A combined analytical and simulation-based model for performance evaluation of a reconfigurable instruction set processor

A combined analytical and simulation-based model for perform...

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Asia and South Pacific Design Automation Conference

作者： Farhad Mehdipour Hamid Noori Bahman Javadi Hiroaki Honda Koji Inoue Kazuaki Murakami Faculty of Information Science and Electrical Engineering Kyushu University Japan Institute of Systems Information Technologies and Nanotechnologies Japan Computer Engineering and IT Department Amirkabir University of Technology슠 Iran Department of Informatics Kyushu University Japan

ISBN: (纸本)9781424427482

Performance evaluation is a serious challenge in designing or optimizing reconfigurable instruction set processors. The conventional approaches based on synthesis and simulations are very time consuming and need a considerable design effort. A combined analytical and simulation-based model (CAnSO*) is proposed and validated for performance evaluation of a typical reconfigurable instruction set processor. The proposed model consists of an analytical core that incorporates statistics gathered from cycle-accurate simulation to make a reasonable evaluation and provide a valuable insight. Compared to cycle-accurate simulation results, CAnSO proves almost 2% variation in the speedup measurement.

关键词： Analytical models Performance analysis Computational Intelligence Society information technology Java Design optimization information analysis Computational modeling computer simulation information science

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Comparative evaluation of spatial context techniques for semantic image analysis

Comparative evaluation of spatial context techniques for sem...

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International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS

作者： G. Th. Papadopoulos C. Saathoff M. Grzegorzek V. Mezaris I. Kompatsiaris S. Staab M. G. Strintzis Centre of Research & Technology Hellas Informatics and Telematics Institute Thessaloniki Greece Information Processing Laboratory Electrical & Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece Information Systems & Semantic Web Research Group Institute of Computer Science University of Koblenz Koblenz Germany

In this paper, two approaches to utilizing contextual information in semantic image analysis are presented and comparatively evaluated. Both approaches make use of spatial context in the form of fuzzy directional relations. The first one is based on a Genetic Algorithm (GA), which is employed in order to decide upon the optimal semantic image interpretation by treating semantic image analysis as a global optimization problem. On the other hand, the second method follows a Binary Integer Programming (BIP) technique for estimating the optimal solution. Both spatial context techniques are evaluated with several different combinations of classifiers and low-level features, in order to demonstrate the improvements attained using spatial context in a number of different image analysis schemes.

关键词： Image analysis Image segmentation Classification algorithms information processing Image generation Image retrieval informatics Telematics information systems Semantic Web

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Assessment for Attending and Responding Stages of Affective Teaching Goal in Distance Learning Based on Fuzzy Fusion

Assessment for Attending and Responding Stages of Affective ...

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International Forum on information Technology and Applications, IFITA

作者： Kuo-An Hwang Chia-Hao Yang Chuan-Ren Wang Institute of Networking and Communication Engineering Chao Yang University of Technology Taichung Taiwan Institute of Informatics Chao Yang University of Technology Taichung Taiwan Department of Computer Science and Information Engineering Chao Yang University of Technology Taichung Taiwan

Distance learning is a learning style that can overcome the limitation of time and space. Because of the distance, teachers can not assess the achievement of affective domain teaching goal. If teachers can know the student's affective state through the learning system, they can overcome the difficult. The research applies the image recognition technologies to capture the face images of students and analyzes their participation in discussion to evaluate the student's affective state by fuzzy integral. Finally, teachers can assess the student's achievement in affective domain teaching goal.

关键词： Education computer aided instruction Distance learning Space technology Chaotic communication information technology Application software computer applications Psychology Electronic learning

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Newborn screening system based on adaptive feature selection and support vector machines

Newborn screening system based on adaptive feature selection...

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2009 9th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2009

作者： Hsieh, Sung-Huai Chien, Yin-Hsiu Shen, Chia-Ping Chen, Wei-Hsin Chen, Po-Hao Hsieh, Sheau-Ling Cheng, Po-Hsun Lai, Feipei Information Systems Office National Taiwan University Hospital Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Network and Computer Centre National Chiao Tung University Hsin Chu Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taiwan Department of Software Engineering National Kaohsiung Normal University Taiwan Department of Medical Genetics National Taiwan University Hospital Taiwan

ISBN: (纸本)9780769536569

The clinical symptoms of metabolic disorders during neonatal period are often not apparent, if not treated early irreversible damages such as mental retardation may occur, even death. Therefore, practicing newborn screening is very important to prevent neonatal from these damages. In this paper, the newborn screening system used support vector machines (SVM) classification technique is proposed in place of cut-off value decision to evaluate the metabolic substances concentration raw data obtained from tandem mass spectrometry (MS/MS) and determine whether the newborn has some kinds of metabolic disorder diseases. On the basis of the proposed features, new analytic combinations are identified with superior discriminatory performance compared with the best published combinations. Classifiers built with the feature selection to find C3/C2, C3 and C16 of three key point features achieved diagnostic sensitivities, specificities and accuracy approaching 100%. © 2009 IEEE.

关键词： Support vector machines

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Towards Dynamic Task Scheduling and Reconfiguration using an Aspect Oriented Approach applied on Real-time concerns of Industrial Systems

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IFAC Proceedings Volumes 2009年第4期42卷 1423-1428页

作者： Alécio Pedro Delazari Binotto Edison Pignaton de Freitas Carlos Eduardo Pereira Tony Larsson Informatics Institute Federal University of Rio Grande do Sul Porto Alegre Brazil Electrical Engineering Department Federal University of Rio Grande do Sul Porto Alegre Brazil School of Information Science Computer and Electrical Engineering Halmstad University Halmstad Sweden

High performance computational platforms are required by industries that make use of automatic methods to manage modern machines, which are mostly controlled by high-performance specific hardware with processing capabilities. It usually works together with CPUs, forming a powerful execution platform. On an industrial production line, distinct tasks can be assigned to be processed by different machines depending on certain conditions and production parameters. However, these conditions can change at run-time influenced mainly by machine failure and maintenance, priorities changes, and possible new better task distribution. Therefore, self-adaptive computing is a potential paradigm as it can provide flexibility to explore the machine resources and improve performance on different execution scenarios of the production line. One approach is to explore scheduling and run-time task migration among machines’ hardware towards a balancing of tasks, aiming performance and production gain. This way, the monitoring of time requirements and its crosscutting behaviour play an important role for task (re)allocation decisions. This paper introduces the use of software aspect-oriented paradigms to perform machines’ monitoring and a self-rescheduling strategy of tasks to address non-functional timing constraints. As case study, tasks for a production line of aluminium ingots are designed.

关键词： distributed systems task scheduling/reconfiguration aspect orientation software engineering

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Paraplegic using a reciprocating gait orthosis (RGO) with functional electrical stimulation

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World Congress on medical Physics and Biomedical engineering: Neuroengineering, Neural Systems, Rehabilitation and Prosthetics

作者： Hsieh, J.-C. Chen, S.-C. Chen, C.-C. Chen, Y.-L. Chang, Walter -H. Li, Y.-C. Shih, Y.-Y. Department of Information Management Hwa-Hsia Institute of Technology Taiwan Department of Rehabilitation Medicine Taipei Medical University Taiwan Department of Computer Science National Taipei University of Education Taiwan Department of Biomedical Engineering Chung Yuan Christian University Taiwan Department of Rehabilitation Medicine Chang Gung Memorial Hospital Taiwan

ISBN: (纸本)9783642038884

In this study, we used latest reciprocating gait orthosis (RGO) and combined the use of functional electrical stimulation (FES). The combination provides larger support range and applies features of mechanical structures in walking assistant. The coordination of FES especially helps to restore the walking abilities that paralyzed patients lost. © 2009 Springer-Verlag.

关键词： Functional electric stimulation

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Stakeholders' Perceptions on Hospital information Security Risk Analysis in Taiwan

Stakeholders' Perceptions on Hospital Information Security R...

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International Conference on Management and Service science, MASS

作者： Chi-Chang Chang Pei-Ran Sun Sun-Long Cheng Ruey-Shin Chen Department of Applied Information Sciences Chung Shan Medical University Taichung Taiwan Chung Shan Medical University Taichung Taiwan Department of Computer Science and Information Engineering National Kinmen Institute of Technology Kinmen Taiwan

The purpose of this study is to analysis the hospital information security risk and to raise organizational stakeholders' risk sense. Because of most risk management methods do not explicitly support different stakeholder perspectives and those that do, often limit the number of stakeholders and assume that consensus can be reached. Therefore, this paper adopted the ISO17799 practical standard with non-expected utility theory for risk analysis. In order to make sure the feasibility, we conducted a field study for a medical center of middle Taiwan to comment the risk of identification, analyses, measurement and control, respectively. Based on the result of this study, we found that the risk measurement of the proposed methodology be able to elicit the real risk attitude of each stakeholder more accurate. Further, it not only can realize the more accurate potential risk incident by utilize the non-parameter method, but also achieve the purpose of shift risk and control losses.

关键词： Hospitals information security Risk analysis Data security Risk management medical services Shape Psychology Utility theory Sun

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Performance Analysis of OLSR Protocol for Wireless Sensor Networks and Comparison Evaluation with AODV Protocol

Performance Analysis of OLSR Protocol for Wireless Sensor Ne...

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International Conference on Network-Based information Systems (NBIS)

作者： Tao Yang Leonard Barolli Makoto Ikeda Fatos Xhafa Arjan Durresi Graduate School of Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Information and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Languages and Informatics Systems Technical University of Catalonia Barcelona Spain Department of Computer and Information Science Indiana University-Purdue University Indianapolis Indianapolis IN USA

Sensor networks are a sensing, computing and communication infrastructure that are able to observe and respond to phenomena in the natural environment and in our physical and cyber infrastructure. The sensors themselves can range from small passive microsensors to larger scale, controllable weather-sensing platforms. Presently, there are many research work for sensor networks. In our previous work, we implemented a simulation system for sensor networks and simulated the proposed system with reactive and preactive protocols. In this work, we want to investigate how the sensor network performs in case of using OLSR protocol and compare the simulation results with AODV protocol. The simulation results have shown that the consumed energy for OLSR protocol is better than AODV protocol. Also, the goodput for the case of using OLSR does not change too much compared with the case using AODV, but the goodput is not good when the number of nodes is increased.

关键词： Wireless application protocol Performance analysis Wireless sensor networks Sensor phenomena and characterization Electronic mail computer networks Network topology Telecommunication network reliability Communication system control Sensor systems

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Clinical genomics identifies the expression of human ovarian carcinoma

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International Journal of Gerontology 2009年第3期3卷 163-169页

作者： Tsai, Meng-Hsiun Huang, Steve G. Tsaur, Shyh-Chang Hung, Yao-Ching Chiu, Sheng-Hsiung Wang, Chi-Wei Department of Management Information Systems Institute of Bioinformatics National Chung Hsing University Taichung Taiwan Institute of Nanotechnology National Chiao Tung University Hsinchu Taiwan Department of Computer Science and Information Engineering Asia University Taichung Taiwan Section of Gynecologic Oncology Department of Obstetrics and Gynecology China Medical University and Hospital Taichung Taiwan Troilus Bio-technology Co. Ltd Taichung Taiwan Department of Internal Medicine Ben Tang Cheng Ching Hospital Wufeng Township Taichung County 413 718 Zhongzheng Road Taiwan

Background: Human ovarian carcinoma is a silent killer. Most patients with human ovarian carcinoma are diagnosed in the advanced stages. Currently, no effective means of early detection are available. Identifying genes that distinguish early cancers from normal tissue may provide insight to the initiation and progression of ovarian cancer. Methods: A large-scale gene expression profiling using 9,600 genes-complementary DNA array to study ovarian tumors was conducted. We analyzed 13 benign tumors, 22 invasive cancers (seven stage I and 15 stage III), and 16 normal ovaries. Cluster analysis revealed two major groups: the early-stage cluster that included 13 benign tumors and seven stage I cancers;and the late-stage cluster that included all stage III cancers. Results: There were 433 upregulated and 60 downregulated genes from the early-stage cluster, and 395 upregulated and 101 downregulated genes from the late-stage cluster. These genes showed altered functions for tumor/cancers, functions such as cell growth, cell cycle control, differentiation, signaling, apoptosis, ion transport, and morphogenesis. Of most interest is the downregulation of nuclear receptor proteins. Differentially expressed genes between early-stage cluster and late-stage clusters were identified. We found 90 genes preferentially overly expressed and 165 genes relatively downregulated at late-stage cancers. The advanced cancer appears differently from early-stage cancer in cell growth, cell adhesion, hormone activity, morphology, and cell-cell signaling compared with benign or early-stage cancer. Of particular interest are enzymes corresponding to pteridine biosynthesis, reported for the first time in this study. Real-time reverse transcription polymerase chain reaction showed that GCH1, KRT18, H3F3A, and MYBL2 were overly expressed in all cancer tissues, while MDFI, ARP3BETA, COL16A1, and MLN discriminated late-stage from early-stage cancers. Conclusion: The microarray provides valuable resources

关键词： Borderline malignancy Expression profile Microarray Ovarian tumor Real-time reverse transcription polymerase chain reaction

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