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Kiyohiko Hattori,Nobuo Nakajima,Tetuya Fujii,Youiti Kado,Bing Zhang,Takahiro Hazugawa,Kieiki Takadama 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
The positional estimate system which is represented in GPS is applied from the convenience to various fields, and to be used as a navigation system for pedestrians in recent years. However, GPS has a weak point that it is not possible to use in indoors such as underground stations, buildings, etc. This is because GPS needs a radio wave from GPS space satellites. To tackle this subject, a lot of method with RFID and radio wave of wireless LAN is proposed. Those systems have a large error of accuracy about position estimation. Thus, to supplement the estimating error margin of the radio base methods, we purpose a hybrid indoor positioning system that uses a wireless adhoc communication and two dimension marker for the position and direction estimation in this research. To verify the effectiveness of proposed methods by simulations, it was clarifed to be able to improve the positional estimation accuracy by using two dimension markers and adhoc communication.
The Pacific Ocean Route Optimization by Pittsburgh-style Learning Classifier System
Saori Iseya,Keiji Sato,Kiyohiko Hattori,Keiki Takadama 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes the optimization method which extends Pittsburg-style Learning Classifier System(LCS) for Pacific Ocean route. In detail, the following extensions are introduced:(1) the unrealistic route deletion, (2) the route integration, and (3) the route rest time minimization and the anchor order change. To investigate the effectiveness of the proposed methods, this paper applies them into LCS to optimize the Pacific Ocean liner route using the actual transportation data. The intensive simulations have revealed following indications: (1) the generated routes using the proposed methods can produce the feasible routes that are hard to be found by the conventional method; and (2) our proposed methods contribute to creating the effective route set which has the short rest time, a small number of vessels, and high profit.
Sleep Stage Estimation by Learning Classifier System Towards Care Support for aged persons
Kazuyuki Hirose,Hiroyasu Matsushima,Kiyohiko Hattori,Keiki Takadama 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes the sleep stage estimation method that can provide more accurate estimation than the conventional method and is robust to bad condition of humans without connecting any devices to human"s body. Our proposed method can extract the specific wave pattern required to estimate the sleep stage from heart beat data. Through the intensive simulations by using the actual data of the human subjects, the following implications have been revealed: (1) the proposed method can provide more accurate sleep stage estimation than the conventional methods, and (2) he sleep stage estimation is robust to the bad physical conditions.
Expoloring Relationship Between Symbol Creation/Understanding and Embodiment
Tomoyo Inoue,Masayuki Otani,Kiyohiko Hattori,Keiki Tadadama 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper explores the agent model that can learn symbols including an adjective in addition to a noun for advanced communication and investigates the relationship between the symbol understanding and the embodiment of an agent. Intensive simulations result on the naming game ha revealed the following implications:(1) the effectiveness of using an adjective differs according to the body of the agents. the agents having ambiguous perception can roughly recognize the objects and communicate each other, while the agents having sensitive perception fail to distinct the objects by using the color and shape information of the objects, which suggests that the features of perception in the agents are critical to build the artifact that can communicate each other; and (2) the level of symbol understanding can be roughly categorized in four level, this enable us to understand the deep communication that cannot be understood from the superficial communication provided by the conventional model.