• Title/Summary/Keyword: Mishima

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Application of Percolation Model for Network Analysis

  • Kiuchi, Yasuhiko;Tanaka, Masaru;Mishima, Taketoshi
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.1101-1104
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    • 2002
  • In order to send the information certainly via the network against the packet lost caused by hardware troubles or limitation of packet transferring, we must construct reliable network infrastructure. However, it is difficult to construct comfortable network early if we construct rely on the prediction or the experience through a lot of troubles. In this paper, we propose the method to construct reliable network infrastructure based on the computer network simulation. This simulation is based on the percolation model. Percolation model is known as the model that represents connections. We gave some simulations for the various network topologies: the square lattice network, the cubic lattice network, and the full connection type network.

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Measurement of Relative Position between Spreader and Target Container with Image Processing (Proposal for Composition of New Template Image)

  • Munimitsu, Satoshi;Asama, Hajime;Kawabata, Kuniaki;Mishima, Taketoshi
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.1224-1227
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    • 2002
  • In this paper, we propose a composition method of the template image whose detection performance does not have incorrect detection and improves also on the tough photography conditions of the outdoors, rainy weather and night. This research was done to measure a relative position between a spreader and a target container with image processing to realize full-automatic quayside gantry cranes. By the proposal method, we confirmed that the template image for object detection has a contour image more effective than a gray image.

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Unsupervised Classiflcation of Multiple Attributes via Autoassociative Neural Network

  • Kamioka, Reina;Kurata, Kouji;Hiraoka, Kazuyuki;Mishima, Taketoshi
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.798-801
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    • 2002
  • This paper proposes unsupervised classification of multiple attributes via five-layer autoassociative neural network with bottleneck layer. In the conventional methods, high dimensional data are compressed into low dimensional data at bottleneck layer and then feature extraction is performed (Fig.1). In contrast, in the proposed method, analog data is compressed into digital data. Furthermore bottleneck layer is divided into two segments so that each attribute, which is a discrete value, is extracted in corresponding segment (Fig.2).

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Complementary Discriminant Analysis for Classification of Double Attributes

  • Hiraoka, Kazuyuki;Mishima, Taketoshi
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.806-809
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    • 2002
  • Real-world objects often have two or more significant attributes. For example, face images have attributes of persons, expressions, and so on. Even if we are interested in only one of those attributes, additional informations on auxiliary attributes can help recognition of the main one. In the present paper, the authors propose a method for pattern recognition with double attributes. A pair of classifiers are combined: each classifier makes a guess of its corresponding attribute, and it tells the guess to the other as a hint. Equilibrium point of this iteration can be calculated directly without iterative procedures.

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Interpolation on data with multiple attributes by a neural network

  • Azumi, Hiroshi;Hiraoka, Kazuyuki;Mishima, Taketoshi
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.814-817
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    • 2002
  • High-dimensional data with two or more attributes are considered. A typical example of such data is face images of various individuals and expressions. In these cases, collecting a complete data set is often difficult since the number of combinations can be large. In the present study, we propose a method to interpolate data of missing combinations from other data. If this becomes possible, robust recognition of multiple attributes is expectable. The key of this subject is appropriate extraction of the similarity that the face images of same individual or same expression have. Bilinear model [1]has been proposed as a solution of this subjcet. However, experiments on application of bilinear model to classification of face images resulted in low performance [2]. In order to overcome the limit of bilinear model, in this research, a nonlinear model on a neural network is adopted and usefulness of this model is experimentally confirmed.

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Configuration of Mail Delivery System Based on Reinforcement Learning

  • Morishita, Soichiro;Hiraoka, Kazuyuki;Kobayashi, Hidetsune;Mishima, Taketoshi
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.830-833
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    • 2002
  • To solve the internal security problem such as human error and bad faith, the automation of computer system management is significant. For this purpose, we focus attention in the automation of Mail Delivery Service. Today, requirement for reliable mail delivery system becomes larger and larger. However, existing systems are too strict about their configuration. Hence, we propose the method based on Reinforcement Learning (RL) to achieve proper MX record ordering. A measure on validity of the design of system, such as network topology number of servers and so on, is also obtained as side benefit. In order to verify the usability of the presented method, we did on a small model of mail delivery system. As a result, we show that RL is available for determination of the proper MX record ordering. Additionally, we suggest that it is also available for comparing validity of setting of MTA and the network design.

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Study of the separation method of structural isomer using Magneto-Archimedes method

  • Mori, T.;Kobayashi, T.;Mishima, F.;Akiyama, Y.;Nishijima, Shigehiro
    • Progress in Superconductivity and Cryogenics
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    • v.18 no.1
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    • pp.14-18
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    • 2016
  • Organic compounds have a problem that the separation of structural isomer in the preparation process requires high energy consumption. This study proposes a new separation method of structural isomer using Magneto- Archimedes method. Firstly, the levitation height of 1, 6-DDA and 1, 10-DDA was respectively calculated by simulation of the forces acting on the particles under magnetic field, and it was indicated that they could be separated by the difference of levitation height. To confirm the phenomenon experimentally, white powders of 1, 6-DDA and 1, 10-DDA were formed into pellets, and were soaked in manganese chloride solution. Then the solution was put on the center of the cryostat of HTS bulk magnet (maximum magnetic flux density is 3T). As a result, it was confirmed that the separation of structural isomer by difference of levitation height could be possible.

A Study on Probability of Street Blockade at a Large-scale Disaster in a Historic Preservation Area

  • Mishima, Nobuo;Ishimaru, Daisuke;Oh, Yong-Sun;Park, Sun Gyu
    • Proceedings of the Korea Contents Association Conference
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    • 2013.05a
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    • pp.251-252
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    • 2013
  • Most of the Historic Preservation Areas are very vulnerable to disasters. The aim of this study is to build probability of street blockade for evacuation routes planning from each house to an evacuation place at a large-scale disaster in such a historic preservation area. The study area is Hamanaka Machi Happongi Shuku in Kashima city, Saga Prefecture, which has been designated as a preservation district of traditional buildings. To achieve this aim, we referred to the formula for probability of street blockade for normal city area made by Tokyo Fire Agency. We revised it, considering the width of street under 4 m, structure of houses along the street, and the distance from the house to main street with the width over 4 m. Then, we applied the revised formula to the study area.

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Forced convective Heat Transfer in rectangular channel (사각 채널에서의 강제대류 열전달)

  • Lim, T.W.;You, S.S.
    • Journal of Power System Engineering
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    • v.16 no.4
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    • pp.37-43
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    • 2012
  • This paper performed experimental research in order to measure boiling heat transfer coefficient of water in microchannel with hydraulic diameter of $500{\mu}m$. Tests were conducted within the ranges of heat fluxes from 100 to 400 kW/$m^2$, vapor qualities from 0 to 0.2, and mass fluxes of 200, 400, and 600 kg/$m^2s$. From the experimental results, it was found that flow boiling heat transfer coefficient is not dependent on mass flux or vapor quality, but instead on heat flux to a certain degree. The measured data of heat transfer are compared to a few available correlations proposed for mini-channels. Among them, Sun and Mishima's correlation is found to predict the present data well, within the mean absolute error of 17.84%.

Consolidation characteristics of Nangton River clay deposit

  • Hiroyuki Tanaka;Osamu Mishima;Masanori Tanaka;Park, Sung-Zae;Jeong, Gyeong-Hwan
    • Proceedings of the Korean Geotechical Society Conference
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    • 1999.11b
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    • pp.3-11
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    • 1999
  • It has been said from previous studies that the preconsolidation pressure (p$\sub$c/)of Nangton Rive. deposit is considerably less than the in situ effective burden pressure (p'$\sub$$\upsilon$ο/). Question has risen whether this small pc vale is due to under consolidation or unsuitable laboratory test including low small quality. As a cooperative research program between PHRI (Port and Harbor Research Institute) and Pusan National University, an extensive soil investigation was carried out at a site of Yangsan, Pusan, using the Japanese sampler. It Is found that although p$\sub$c/ value at the site is slightly greater than p'$\sub$$\upsilon$ο/, its over consolidation ratio (OCR) is quite small compared with aged normally consolidated clay in Japan.

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