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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

作者： Y. Ohmiya K. Katagishi A. Vasilache T. Asami H. Murakami K. Toraichi Doctoral Program Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba-shi Ibaraki Japan Institute of Information Sciences and Electronics University of Tsukuba Tsukuba-shi Ibaraki Japan Japan Science and Technology Corporation University of Tsukuba TARA Center Ibaraki Japan KDDI R&D Laboratories Inc. Kamifukuoka-shi Saitama Japan KDDI Corporation KDDI bldg. Shinjuku-ku Tokyo Japan

This paper discusses a method to determine the optimal node location before a long distance FWA network (22 GHz band, 6.3 Mbit/s) is set. During our 3 years experiment, we found out that the long distance FWA net with 2 links (about 60 km) was down for approximately 42 hours per year due to heavy rain fall conditions. This means that the long distance FWA net is practicable to some extent. We discuss a method to estimate the working ratio between two unknown locations using AMeDAS weather data. By using this method, an appropriate node location can be decided before FWA net is deployed. This approach can improve the working ratio in the sense of link-up continuation.

关键词： Rain Space technology Costs Systems engineering and theory Research and development Laboratories Telegraphy Delay Interference Space stations

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An efficient heuristic for routing and wavelength assignment in optical WDM networks

An efficient heuristic for routing and wavelength assignment...

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IEEE International Conference on Communications (ICC)

作者： Yongbing Zhang K. Taira H. Takagi S.K. Das Institute of Policy and Planning Sciences University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program in Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan Department of Computer Science and Engineering University of Texas Arlington TX USA

ISBN: (纸本)0780374002

We propose an efficient heuristic algorithm that sets up and releases lightpaths for connection requests dynamically. We partition the routing and wavelength assignment (commonly known as RWA) problem into two subproblems and solves both of them using a well-known shortest path routing algorithm. For solving the routing subproblem, an auxiliary graph is created whereby the nodes and links in the original network are transformed to the edges and vertices, respectively, and the availability of each wavelength on the input and output links of a node as well as the number of available wavelength converters are taken into account in determining the weights of edges. Furthermore, for solving the wavelength assignment subproblem, an auxiliary graph is also utilized and the cost for wavelength conversion is taken into consideration in the edge weight function. A distinguished feature of our algorithm is that it employs more accurate network information on the availability of both the wavelengths and the wavelength converters than the existing algorithms in deciding the routing and the wavelength assignment. Simulation results show that our algorithm performs much better than previously proposed algorithms with comparable computation time, especially when the number of wavelengths is large while the number of converters at each node is limited.

关键词： Wavelength routing Wavelength assignment Optical fiber networks WDM networks Optical wavelength conversion Partitioning algorithms Heuristic algorithms Cost function Availability Computational modeling

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Conductivities of Room Temperature Molten Salts Containing ZnCl2, Measured by a Computerized Direct Current Method

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ECS Proceedings Volumes 2002年第1期2002-19卷

作者： Hsin-Yi Hsu Chao-Chen Yang Graduate School of Engineering Science & Technology (Doctoral Program) National Yunlin University of Science and Technology 123 University Road Sec. 3 Touliu Yunlin Taiwan 640 R. O. C.

The conductivities of the binary room-temperature molten salt systems ZnCl2-N-n-butylpridinnnium chloride (BPC), ZnCl2-1-ethyl-3-methyl-imidazolium chloride (EMIC) and ZnCl2-benzyltriethylammonium chloride (BTEAC) have been measured at different temperatures and compositions by a d.c. four-probes method. The conductivities of the three RTMS are in the order ZnCl2-EMIC > ZnCl2-BPC > ZnCl2-BTEAC. In the ZnCl2-BPC system the conductivity at 70 to 150°C, has a maxima at 40 mol% ZnCl2. In the ZnCl2-EMIC system, the conductivity is slightly different at 30 mol% to 50 mol% ZnCl2, while it considerably increases from 70 to 150°C, and it has the lowest activation energy 25.21 kJ/mol. For these two systems, the conductivities decrease rapidly beyond 50 mol% ZnCl2, owing to the rapid increase in cross-linking and resultant tightening of the polyelectrolyte structure. As to the ZnCl2-BTEAC system, the conductivities at 110–170°C gradually decrease between 30–60 mol% ZnCl2. The conductivities of ZnCl2-EMIC melt are compared with those of the AlCl3-EMIC melt previously studied. The stability of the ZnCl2-EMIC melt system is explored by the effect of external environment on the conductivity and the FTIR spectrum. It reveals that the effect is slight, and that the ZnCl2-EMIC melt may be classified as a stable melt.

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Conductivity and Electrochemistry of Cobalt (II) and Dysprosium Chloride in Zinc Chloride-1-Ethyl-3-Methyl-Imidazolium Chloride Room-Temperature Molten Salt

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ECS Proceedings Volumes 2002年第1期2002-19卷

In this present study, zinc chloride-1-ethyl-3-methylimidazolium chloride (EMIC) was used to form a room temperature melt. Although these melts are being examined for electrochemical applications, little conductivity data appears in the literature. The sequence of conductivities for the different component melts is ZnCl2-EMIC > ZnCl2-EMIC-CoCl2 > ZnCl2-EMIC-DyCl3 > ZnCl2-EMIC-CoCl2-DyCl3. The results may be explained in terms of the viscosity increase and complex formation when the cobalt chloride or dysprosium chloride is added into the acidic ZnCl2-EMIC melt. The electrochemistry of cobalt(II) and/or dysprosium chloride in acidic ZnCl2-EMIC melts at different temperature has been investigated by cyclic voltammetry. The results reveal the reduction of Dy(III) to Dy(II) or Dy(III) to Dy may have occurred, and the electrodeposition of Co-Dy or Zn-Co-Dy alloys was not formed from the melt at 80°C. Nevertheless, the cathodic reduction of Co2+/Dy3+ species will occur more readily at 110°C and 120°C than at 100°C.

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Fuzzy clustering of data with uncertainties using minimum and maximum distances based on L/sub 1/ metric

Fuzzy clustering of data with uncertainties using minimum an...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： O. Takata S. Miyamoto K. Umayahara Doctoral Program in Engineering University of Tsukuba Tsukuba Ibaraki Japan Institute of Engineering Mechanics and Systems University of Tsukuba Tsukuba Ibaraki Japan School of Knowledge Science Japan Advanced Institute of Science and Technology Ishikawa Japan

Fuzzy c-means is well-known among the various methods of fuzzy cluster analysis. L/sub 1/-based fuzzy c-means has also been studied in recent years. This paper discusses the L/sub 1/-based fuzzy c-means of data with fuzzy uncertainties. The data unit is supposed to be the Cartesian product of fuzzy numbers. The metric between a data unit with uncertainty and a cluster center is defined using minimum and maximum distances. The fuzzy c-means algorithm is an alternative procedure for the optimization of the cluster center and the fuzzy set membership, while the solution of the cluster center for uncertain data cannot be obtained directly. An algorithm for the solution of cluster centers based on the L/sub 1/ metric for uncertain data is developed in this paper. Using this algorithm, an exact alternate optimization procedure is obtained. Numerical examples show that the results for uncertain data are different from the results for data without uncertainties.

关键词： Uncertainty Clustering algorithms Data engineering Knowledge engineering Optimization methods Euclidean distance Entropy Fuzzy systems Systems engineering and theory

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The frustrating search for schizophrenia genes

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American Journal of Medical Genetics Part A 2002年第1期97卷

作者： Ming T. Tsuang Stephen V. Paraone Guest Editor Dr. Tsuang is the Stanley Cobb Professor of Psychiatry Director Harvard Institute of Psychiatric Epidemiology and Genetics and Superintendent and Head Harvard Department of Psychiatry at Massachusetts Mental Health Center. He received an M.D. degree at the College of Medicine National Taiwan University and his Ph.D. at the Institute of Psychiatry Faculty of Medicine University of London. Dr. Tsuang also received a Doctor of Science (D.Sc.) in Psychiatric Epidemiology and Genetics Faculty of Science University of London. Professor Tsuang has worked throughout his career as a clinician teacher researcher and administrator in a variety of private state federal and international mental health care settings. He has been recognized both nationally and internationally for his research in schizophrenia and other major psychiatric disorders including manic-depressive illness and substance abuse. One of his areas of interest is in the rapidly developing field of research related to the interactions between genetic and environmental risk factors for severe mental disorders. Professor Tsuang is the recipient of a myriad of awards for his work among them the First Prize in Clinical Research Award from the American Academy of Clinical Psychiatrists the Rema Lapouse Award for Mental Health Epidemiology from the American Public Health Association and the Stanley Dean Award for Basic Research in Schizophrenia from the American College of Psychiatrists. He is also a Member of the Institute of Medicine National Academy of Sciences and Member Academia Sinica of Taiwan. Recently Professor Tsuang received the Lifetime Achievement Award from the International Society of Psychiatric Genetics and the Taiwanese-American Award for Achievement in Science and Engineering. He has authored or co-authored nearly 400 publications including publications in peer reviewed journals in book chapters and also in books in the areas of psychiatric epidemiology psychiatric genetics nosology of major psychoses ne

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Musical Analysis of a Computer Music Project, by Computer-Assistance, for Computer Music Applications 26

Musical Analysis of a Computer Music Project, by Computer-As...

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26th International Computer Music Conference, ICMC 2000

作者： Liu, Jian-Li Hiraga, Rumi Igarashi, Shigeru Doctoral Program in Engineering University of Tsukuba Japan Bunkyo University Japan Department of Computer Science University of Tsukuba Japan

Daphne is a computer-assisted musical analysis system that analyzes musical structure and other information necessary for computer music applications, especially for performance synthesis. The obtained analysis results are stored in a style which extends the information of a note event so that application systems can share analysis information. Providing sheets of real musical scores, Daphne’s design includes a unique function of analysis database which stores analysis result of multiple editions of a piece. Users can make use of the database to consider how performance is generated based on the interpretation of each edition. In this paper, we describe how analysis information is stored and shared among computer music applications — performance synthesis with rules, performance visualization, and automated accompaniment. © 2000 ICMC. All Rights Reserved.

关键词： Computer music

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OpenJava: A class-based macro system for Java

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1st OOPSLA Workshop on Reflection and Software engineering, OORaSE 1999

作者： Tatsubori, Michiaki Chiba, Shigeru Killijian, Marc-Olivier Itano, Kozo Doctoral Program in Engineering University of Tsukuba Tennohdai 1-1-1 Tsukuba Ibaraki Japan Department of Information Science and Electronics University of Tsukuba Japan LAAS-CNRS 7 Avenue du Colonel Roche 31077 Toulouse cedex 04 France

ISBN: (纸本)3540677615

This paper presents OpenJava, which is a macro system that we have developed for Java. With traditional macro systems designed for non object-oriented languages, it is difficult to write a number of macros typical in object-oriented programming since they require the ability to access a logical structure of programs. One of the drawbacks of traditional macro systems is that abstract syntax trees are used for representing source programs. This paper first points out this problem and then shows how OpenJava addresses this problem. A key idea of Open-Java is to use metaobjects, which was originally developed for reflective computing, for representing source programs. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Object oriented programming

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GA-based kernel optimization for pattern recognition: theory for EHW application

GA-based kernel optimization for pattern recognition: theory...

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Congress on Evolutionary Computation

作者： M. Yasunaga T. Nakamura I. Yoshihara J.H. Kim Institute Information Science and Electrical University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program of Engineering University of Tsukuba Tsukuba Ibaraki Japan Miyazaki University Miyazaki Japan The Center for Advanced Computer Studies University of Louisiana Lafayette LA USA

An extension of the kernel-based pattern recognition method using a genetic algorithm is proposed. The method is suited to evolvable pattern recognition hardware using FPGAs. In the conventional method one common kernel function is used in the superposition to make discrimination functions. In the extended method each region of the kernel function is optimized individually. For the kernel-region optimization we use a genetic algorithm to solve a large combinatorial problem almost impossible to solve using any brute-force search. A chromosome represents the kernel region in an n-dimensional pattern space, and each locus corresponds to one of the candidates (genes) for an edge length of the kernel region. We have applied the extended method to a sonar spectrum recognition problem and obtained a recognition accuracy of 83.9%, which is much higher than the 62.0% obtained using the conventional kernel-based method and is also better than 82.7% obtained using the nearest neighbor method and the 83.0% obtained using a neural network (backpropagation algorithm). We have analyzed the individually optimized kernel regions and shown that the GA process automatically extracts features in the patterns and embeds the features in the kernel regions.

关键词： Kernel Pattern recognition Genetic algorithms Hardware Field programmable gate arrays Optimization methods Biological cells Sonar applications Nearest neighbor searches Neural networks

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Improving LIFS image coding via extended condensations

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Systems and Computers in Japan 1999年第5期30卷 1-8页

作者： You, Hyunbea Takahashi, Takashi Hasegawa, Yuki Tokunaga, Ryuji Doctoral Program in Engineering University of Tsukuba Tsukuba 305-8573 Japan College of Information Science University of Tsukuba Tsukuba 305-8573 Japan Inst. of Info. Sci. and Electronics University of Tsukuba Tsukuba 305-8573 Japan

Local iterated function system (LIFS) image coding is currently a main topic of fractal image coding and is being studied from various points of view. However, its performance is still inferior to conventional schemes such as JPEG. This paper proposes a novel local transformation called extended condensation and reports that the LIFS coding scheme is significantly improved by combining the technique with Ida's average separation scheme. When the compression ratio is high, a better decoded image is acquired by the proposed scheme than by JPEG.

关键词： Image coding

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