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A new and practical approach to secure mobile agent server development

A new and practical approach to secure mobile agent server d...

引用

IEEE Conference on Wireless Communications and Networking

作者： M.R. Razzazi J. Chamanara Software System Research and Development Laboratory Computer Engineering Department Amirkabir University of Technology슠 Tehran Iran

This paper presents a secure agent server named J-SAS. J-SAS is a secure and distributed execution environment for mobile agents. The core of the J-SAS is an agent virtual machine fulfilling the same functions as a traditional host machine. J-SAS considers the agent as an autonomous entity with execution code, state, specification and certification parts. J-SAS provides mobility, state dependency, run time code altering, and communications facilities. J-SAS consists of two main parts: agent gateway (AgG) and agent server (AgS). AgG is responsible for receiving agent through HTTP, authentication and delivering it with a passport to AgS. On the other side, AgS gets the agent, checks its passport, translates its code to safe code, initializes its state and runs it in a secure environment. Using resource allocation algorithms, ACL and authentication, J-SAS shows a good defensive mood against unauthorized read/write, denial of service and masquerading attacks.

关键词： Mobile agents Network servers Java Software systems Research and development Virtual machining Authentication Certification Mobile communication Web server

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A journey trough clinical applications of multimethod decision trees

引用

9th Conference on Artificial Intelligence on in Medicine in Europe, AIME 2003

作者： Povalej, Petra Lenič, Mitja Štiglic, Milojka Molan Kavalar, Maja Skerbinjek Završnik, Jernej Kokol, Peter Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor SI-2000 Maribor Slovenia Adolf Drolc Health Centre SI-2000 Maribor Slovenia Department of Paediatric Surgery Maribor Teaching Hospital SI-2000 Maribor Slovenia

ISBN: (纸本)3540201297

We present a journey through successful applications of multimethod approach to induction of decision trees in knowledge extraction, discovery of new knowledge and early diagnosis on the cases of asthma, cardiovascular problems and mitral valve prolapse. The results show that the multimethod approach is a powerful and promising technique enabling the conformation of existing medical knowledge and more interestingly, also enables the induction of new facts and hypothesis, which can reveal some new interesting patterns and possibly improve the existing medical knowledge. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Decision trees

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Supply chain performance evaluation: a simulation study

Supply chain performance evaluation: a simulation study

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Yan Tu P.B. Luh Weidong Feng K. Narimatsu Department of Electrical and Computer Engineering University of Connecticut CT USA System Engineering Laboratory Research and Development Center Toshiba Corporation Kawasaki Japan

As more and more companies are relying on their suppliers to provide raw materials or component parts, effective coordination and inventory management of supply chain members became critical issues. Various methods including information sharing and postponing strategy have been explored to improve supply chain performance. However, questions regarding what information to share and the benefits under different conditions for different members are not fully understood. This paper presents a simulation study on a three-level infinite capacity supply chain through a systematic design of experiments. Independent variables include lead times, information sharing patterns, demand uncertainties, and service levels. It is shown through the analysis of means and the analysis of variance that one-way full information sharing is sufficient to achieve good performance. The types of benefit received by different members, however, are different. Furthermore, as more information is shared, the benefit from postponing customization decreases.

关键词： Supply chains Analysis of variance Manufacturing Supply chain management Uncertainty Information analysis Raw materials Costs Computational modeling systems engineering and theory

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An automated method for neuronal spike source identification

An automated method for neuronal spike source identification

引用

International Joint Conference on Neural Networks (IJCNN)

作者： R.A. Santiago J. McNames K. Burchiei G.G. Lendaris NW Computational Intelligence Laboratory System Science Portland State University USA NW Computational Intelligence Laboratory System Science Portland State Universityt Biomedical Signal Processing Laboratory Electrical & Computer Engineering Portland State University USA

Analysis of microelectrode recordings (MER) of extracellular neuronal activity has gained increasing interest due to potential improvements to surgical techniques involving ablation or placement of deep brain stimulators, as is common in the treatment of Parkinson's disease. Critical to these procedures is the identification of different brain structures such as the globus pallidus internus (GPI). Evidence suggests that the spike trains from individual neurons contain enough information to identify the brain structure in which they are located For the work reported here, spike train data gathered during surgical procedure from multiple patients is used. Using a moving window sampling approach, a novel feature extraction method for spike trains was developed. This method is then used in combination with a support vector classification algorithm. Results strongly indicate that the sampling methods reported here are able to extract the necessary information for highly accurate spike source identification.

关键词： Surgery Brain Sampling methods Microelectrodes Extracellular Parkinson's disease Neurons Feature extraction Classification algorithms Data mining

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Global and localized parallel preconditioning techniques for large scale solid Earth simulations

Global and localized parallel preconditioning techniques for...

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International Parallel and Distributed Processing Symposium, IPDPS 2003

作者： Wang, Kai Kim, Sangbae Zhang, Jun Nakajima, Kengo Okuda, Hiroshi Laboratory for High Performance Scientific Computing and Computer Simulation Department of Computer Science University of Kentucky LexingtonKY40506-0046 United States 2-2-54 Naka-Meguro Meguro-ku Tokyo153-0061 Japan Department of Quantum Engineering and System Sciences University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan

ISBN: (纸本)0769519261

We investigate and compare a few parallel preconditioning techniques in the iterative solution of large sparse linear systems arising from solid Earth simulation with and without using contact information in the domain partitioning process. Previous studies are focused on using static or matrix pattern based incomplete LU (ILU) preconditioners in a localized preconditioner implementation. Our current studies are concerned with preconditioner performance for solving two different cases with and without known contact information. For the cases with contact information, we use localized threshold value based incomplete LU (ILUT) preconditioner to improve efficiency. For the cases without contact information, we use a global sparse approximate inverse preconditioner with a static sparsity pattern to achieve robustness. Numerical results from simulating ground motion on a parallel supercomputer are given to compare the effectiveness of these parallel preconditioning techniques. © 2003 IEEE.

关键词： Linear systems

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Multimethod machine learning approach for medical diagnosing

Multimethod machine learning approach for medical diagnosing

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： M. Lenic P. Povalej M. Zorman V. Podgorelec P. Kokol L. Lhotska Laboratory for system design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Gerstner Lab Faculty of Electrical Engineering Czech Technical University Czech Republic

In this paper we present a multimethod approach for induction of a specific class of classifiers, which can assist physicians in medical diagnosing in the case of mitral valve prolapse. Mitral valve prolapse is one of the most controversial prevalent cardiac condition and may affect up to ten percent of the population and in the worst case results in sudden death. MultiVeDec is a general framework enabling researchers to generate various intelligent tools based on machine learning. In this paper we focused on various decision tree methods, which are capable of extracting knowledge in a form closer to human perception, a feature that is very important in medical field. The experiment included classifiers with various classical single method approaches, evolutionary approaches, hybrid approaches and also our newest multimethod approach. The main concern of the latest approach is to rind a way to enable dynamic combination of methodologies to the somehow quasi unified knowledge representation. The proposed multimethod approach was capable to outperform all other tested approaches by producing classifier for diagnosing mitral valve prolapse with the highest overall and average class accuracy.

关键词： Machine learning Medical diagnosis Valves Decision trees Medical diagnostic imaging Humans Knowledge representation Classification tree analysis Blood flow Laboratories

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Intelligent data analysis of human bone density

Intelligent data analysis of human bone density

引用

Annual IEEE Symposium on computer-Based Medical systems

作者： P. Povalej M. Lenic M. Zorman P. Kokol M.G.E. Peterson J.M. Lane Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Hospital for Special Surgery New York NY USA

In this paper we present the results of an intelligent analysis of osteoporosis database gathered during a longitudinal study in which a random sample of 100 women who had passed precautionary examinations for detection of osteoporosis over five years and were not referred for a definite medical diagnosis was pulled from the records. The intelligent data analysis using advanced methods for decision tree construction was used in order to try to find the main factors that can reduce the risk for development of osteoporosis in women. Most of the extracted knowledge confirmed known medical criteria that put women to risk for osteoporosis, however some new interesting patterns have also been shown.

关键词： Data analysis Humans Osteoporosis Medical diagnostic imaging Bones Decision trees Minerals Databases Medical diagnosis Decision making

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An open multiple instance learning framework and its application in drug activity prediction problems

An open multiple instance learning framework and its applica...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Xin Huang Shu-Ching Chen Mei-Ling Shyu Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)0769519075

In this paper, a powerful open Multiple Instance Learning (MIL) framework is proposed. Such an open framework is powerful since different sub-methods can be plugged into the framework to generate different specific Multiple Instance Learning algorithms. In our proposed framework, the Multiple Instance Learning problem is first converted to an unconstrained optimization problem by the Minimum Square Error (MSE) criterion, and then the framework can be constructed with an open form of hypothesis and gradient search method. The proposed Multiple Instance Learning framework is applied to the drug activity problems in bioinformatics applications. Specifically, experiments are conducted on the Musk-I dataset to predict the binding activity of drug molecules. In the experiments, an algorithm with the exponential hypothesis model and the Quasi-Newton method is embedded into our proposed framework. We compare our proposed framework with other existing algorithms and the experimental results show that our proposed framework yields a good accuracy of classification, which demonstrates the feasibility and effectiveness of our framework.

关键词： Drugs Machine learning Bioinformatics Supervised learning Application software Multimedia systems Information systems Laboratories computer science Power engineering computing

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Component-based design and integration of a distributed multimedia management system

Component-based design and integration of a distributed mult...

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IEEE International Conference on Information Reuse and Integration (IRI)

作者： Shu-Ching Chen Mei-Ling Shyu Na Zhao Chengcui Zhang Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical & Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)0780382420

In order to fulfill the functional requirements of multimedia management systems while achieving the efficiency and reliability at the same time, we adopt the component-based design to develop a complicated distributed multimedia management system called DMMManager in this paper. DMMManager integrates a set of core components for managing multimedia data, such as content-based retrieval for image and video data, and multimedia presentation design and rendering. Component-based design makes the reuse and share of the components easy and reliable, and thus avoids the waste of both time and man power in the development cycle. Moreover, new applications can be easily integrated into this system as a new development and utilize the existing components. Besides component reuse, the system is also designed to facilitate information reuse. For example, the output of the image/video retrieval component can be taken as the input for the multimedia presentation component. In addition, the use of subnetworks in our multimedia presentation design also enables the modularized reuse of the existing presentation models that are previously created.

关键词： Multimedia systems Multimedia databases Information retrieval engineering management Content based retrieval Power system management Image retrieval Rendering (computer graphics) Research and development management Management information systems

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Ensuring fairness in multimedia multicast streaming with optimal rate allocation and client buffer utilization

Ensuring fairness in multimedia multicast streaming with opt...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Mei-Ling Shyu Shu-Ching Chen Hongli Luo Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA

ISBN: (纸本)0780379659

In this paper, we propose a rate control mechanism for multimedia multicast streaming in the Internet. A single and optimal transmission rate that is adaptive to the network congestion, buffer occupancies, and the playback requirements of the member clients in the multicast group is allocated. We optimize the multicasting delivery in the Internet by improving the buffer occupancy of all clients for on-time presentation while using the minimal transmission rate. Scalable playback is used for the clients with low bandwidth capabilities in a heterogeneous environment. Simulation results show that the buffer capacity can be efficiently improved and fairness is ensured among the member clients.

关键词： Streaming media Bandwidth Internet Multicast protocols Web server Multimedia systems Information systems Laboratories computer science Adaptive systems

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