Tetsuo Kinoshita

Tohoku University

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Gen Kitagata

Morioka University

Norio Shiratori

Chuo University

Kazuto Sasai

Ibaraki University

Takuo Suganuma

Tohoku University

Takahiro Uchiya

Nagoya Institute of Technology

Kenji Sugawara

Chiba Institute of Technology

Hideyuki Takahashi

Tohoku University

Toru Abe

Tohoku University Hospital

Hak‐Man Kim

Incheon National University

Ichi Takumi

Nagoya Institute of Technology

Cooperative Institutions

Tohoku University

126

The University of Tokyo

Kyoto University

Icahn School of Medicine at Mount Sinai

Tokyo Women's Medical University

Nagoya University

Universitat de Barcelona

Fujita Health University

Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas

Osaka University

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3D Symbiotic Environment for Agent-Aided Collaborative Work

網際網路技術學刊 (2012)

Akira Sakatoku Toshiaki Osada Gen Kitagata Norio Shiratori Tetsuo Kinoshita

Recently, collaborative work environments using Augmented Reality is expected to realize effective collaborative works. However, these environments have some limitations. One of the limitations is the restricted availability of devices. Devices which have no ability of the real-space information sensing cannot be used for these environments. Another limitation is low usability. It is difficult for novice computer users to utilize these environments, because these environments are specifically designed for computer professionals. To overcome these limitations, we propose a construction scheme of 3D symbiotic environment. 3D symbiotic environment is a collaborative work environment which is based on the concept of symbiosis between the real space and digital spaces. 3D symbiotic environment enables users to do collaborative works intuitively as if virtual spaces are integrated with the real space. First, we present the fundamental technologies for 3D symbiotic environment. Next, we show the design and implementation of the prototype system which includes collaborative work supporting agents. Finally, we confirmed the feasibility of 3D symbiotic environment with experimental results of the prototype system.

Collaborative virtual environment

Shared space

10.6138/jit.2012.13.1.13

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Citations (3)

LIDAR based target object classification by using reflection intensity

Yoshitaka Fukuda Kazuyuki Kobayashi Kajiro Watanabe Tetsuo Kinoshita

In this paper, we describe a LIDAR based target classification algorithm by using fusion of reflection intensity, which is adapted for the rules of the Tsukuba Challenge 2013. According to the rule of the Tsukuba Challenge 2013, an autonomous mobile robot has to find a specific standing signboard while navigating a prescribed course area. With the intension of achieving this goal, light detection and ranging (LIDAR) is used to detect both the range and reflection intensity profiles around a mobile robot. The combination of the range and reflection intensity profiles enables the stable and robust identification of a specific standing signboard. To find the standing signboard, we focus on its shape and reflection intensity pattern. The range profile is used to detect the line-like shape, and the reflection intensity is used to detect the reflection pattern on the standing signboard. The proposed target identification algorithm is implemented to find an actual standing signboard and carried out in the actual Tsukuba Challenge 2013 environment. The validity of the proposed algorithm is confirmed through an actual mobile robot experiment.

Reflection

Ranging

Identification

Intensity

10.1109/scis-isis.2014.7044728

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Analyzing dynamic behavior of multiagents' task allocation based on subjective cooperative relations

Systems and Computers in Japan (2003)

Takashi Katoh Tetsuo Kinoshita Norio Shiratori

Abstract In multiagent systems in general, the behavior of the individual agent generally affects the behavior of the whole system. Consequently, in order to improve the efficiency of the whole system, it is crucial to know how the operation of the individual agent affects the whole system and to design the agents on the basis of that knowledge. This paper considers a multiagent system in which the technique proposed by the authors is applied to task allocation, and presents a basic analysis of the effect of the individual agent on the behavior of the whole system. More precisely, we consider an environment in which the procedure for updating information concerning the reliance relation to other agents, or the procedure for transfer of information concerning the power of other agents, and so on, is modified, or agents in the system are dynamically generated or deleted, and we analyze the efficiency of task processing and the amount of message traffic among the agents. Experiments are performed by defining several kinds of operations of the agents, and generating or deleting the agents while the system is operating. Based on the results of these investigations, basic guidelines for multiagent systems are presented. © 2003 Wiley Periodicals, Inc. Syst Comp Jpn, 34(9): 93–104, 2003; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/scj.10108

10.1002/scj.10108

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25a-PS-71 VARIATION OF ELECTRONIC AND MAGNETIC STRUCTURES OF OXIDIZED CO-FILM AS A FUNCTION OF O_2 COVERAGE STUDIED BY CORE LEVEL PHOTOEMISSION SPECTROSCOPY

日本物理学会講演概要集 (1998)

Krishna G. Nath Yuichi Haruyama Shin‐ichi Kimura Tetsuo Kinoshita Kozo Okada

Inverse photoemission spectroscopy

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Knowledge Oriented Network Fault Resolution Method Based on Active Information Resource

Yusuke Takahashi Daisuke Misugi Akira Sakatoku Akihiro Satoh Akiko Takahashi

To reduce the loads imposed on network administrators, we have proposed AIR-NMS, which is a network management support system (NMS) based on Active Information Resource (AIR). In AIR-NMS, various information resources (e.g., state information of a network, practical knowledge of network management) are combined with software agents which have the knowledge and functions for supporting the utilization of the resources, and thus individual resources are given activities as AIRs. Through the organization and cooperation of AIRs, AIR-NMS provides the administrators with practical measures against a wide range of network faults. To make AIR-NMS fit for practical use, this paper proposes a method for achieving the effective installation and utilization of the network management knowledge needed in AIR-NMS.

Network monitoring

Resource Management

10.1109/wi-iat.2010.123

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Citations (6)

Toward realizing secure personalization for a regional service

IEICE technical report. Information networks (2015)

Gen Kitagata Ryoga Suzuki Hideyuki Takahashi Kazuto Sasai Tetsuo Kinoshita

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On-demand Data Numerosity Reduction for Learning Artifacts

Khamisi Kalegele Hideyuki Takahashi Johan Sveholm Kazuto Sasai Gen Kitagata

In domains in which single agent learning is a more natural metaphor for an artifact-embedded agent, Exemplar-Based Learning (EBL) requires significantly large sets of training examples for it to be applicable. Obviously large sets of training examples contradict resource capabilities of artifacts. To make EBL a possibility for these artifacts, sets of training examples must be reduced in size in a way that does not compromise learning performance in order to relieve artifacts' resources (e.g. memory). In this paper, we investigate training sets requirements for artifacts learning and propose a ranking-based Stratified Ordered Selection (SOS) method to scale them down. Contrary to reduction approaches in mainstream learning, this method has been designed with resource constraint nature of artifacts in mind. Artifacts shall use an intermediary which implements SOS to, dynamically and on-demand, retrieve training subsets based on their resource capacities (e.g. memory, CPU). SOS uses a new Level Order (LO) ranking scheme which has been designed to broaden representation of classes of examples, to quicken data retrieval, and to allow for retrieval of subsets of varying sizes while ensuring same or near same learning performance. We present how SOS evaluates on various well known machine learning datasets and how it compares to some of the best performing data reduction approaches.

Artifact (error)

10.1109/aina.2012.108

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Citations (5)

Flexible Networks: Basic Concepts and Architecture

IEICE Transactions on Communications (1994)

Norio Shiratori Kenji Sugawara Tetsuo Kinoshita Goutam Chakraborty

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Citations (45)

Configuration and control design model for an agent based Flexible Distributed System

Web Intelligence and Agent Systems An International Journal (2011)

Akiko Takahashi Tetsuo Kinoshita

Realizing application systems that match people's expectations and providing adequate network services for various users under various network and platform environments are difficult challenges. To overcome these problems, we have studied application

10.3233/wia-2011-0213

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Citations (3)

New Lane Detection Algorithm that Emulates Human Color Recognition

Journal of Robotics and Mechatronics (2015)

Hideyuki Saito Kazuyuki Kobayashi Kajiro Watanabe Tetsuo Kinoshita

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270004/08.jpg"" width=""300"" /> New lane detection algorithm</div> The perception of color by the human eye is different from that of cameras. This is due to the optical illusion and color constancy characteristics of human vision. In spite of these characteristics, people can drive cars without the danger of overturning. In this paper, we describe a new white lane detection algorithm for autonomous mobile robots, one based on a method similar to the color perception of human beings. In order to drive safely, we emulate human color perception to reduce the effects of lighting and shadow on the course. The validity of the proposed image compensation method is confirmed by actual while line detection. </span>

Human eye

Colored

10.20965/jrm.2015.p0382

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Citations (1)