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Transactions of the Institute of Systems, Control and Information Engineers Vol. 26 (2013), No. 2

ISIJ International
belloff
ONLINE ISSN: 2185-811X
PRINT ISSN: 1342-5668
Publisher: THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

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  1. Vol. 37 (2024)

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  2. Vol. 36 (2023)

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  3. Vol. 35 (2022)

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  4. Vol. 34 (2021)

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  5. Vol. 33 (2020)

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  6. Vol. 32 (2019)

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  7. Vol. 31 (2018)

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  8. Vol. 30 (2017)

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  9. Vol. 29 (2016)

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  10. Vol. 28 (2015)

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  11. Vol. 27 (2014)

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  12. Vol. 26 (2013)

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  14. Vol. 24 (2011)

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  15. Vol. 23 (2010)

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  16. Vol. 22 (2009)

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  17. Vol. 21 (2008)

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  18. Vol. 20 (2007)

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  19. Vol. 19 (2006)

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  20. Vol. 18 (2005)

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  22. Vol. 16 (2003)

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  23. Vol. 15 (2002)

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  24. Vol. 14 (2001)

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  25. Vol. 13 (2000)

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  26. Vol. 12 (1999)

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  27. Vol. 11 (1998)

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  28. Vol. 10 (1997)

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  29. Vol. 9 (1996)

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  30. Vol. 8 (1995)

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  31. Vol. 7 (1994)

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  32. Vol. 6 (1993)

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  33. Vol. 5 (1992)

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  34. Vol. 4 (1991)

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  35. Vol. 3 (1990)

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  36. Vol. 2 (1989)

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  37. Vol. 1 (1988)

    1. No.7
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Transactions of the Institute of Systems, Control and Information Engineers Vol. 26 (2013), No. 2

Road Departure Detection Using State Diagrams and Statistical Hypothesis Tests in Map Matching

Toshiyuki Aoki, Mikio Bando, Tomoaki Hiruta, Koichi Kato, Akihiro Kawabata, Zhixing Liu

pp. 53-61

DOI:

10.5687/iscie.26.53

Abstract

Car-navigation systems display the car’s position on a link, which is a line representing a road in map data, when the car is running on a road and display its estimated position when it is running in a parking area. Therefore, it is necessary for map matching to determine whether a car is running on a road. The errors of the car’s estimated position and the link position cause incorrect detection when the car is running in a parking area parallel to the road. This paper proposes a road departure detection method using state diagrams and statistical hypothesis tests. The statistic hypothesis tests make detections considering the previous errors, and the state diagrams change detection conditions in each state. This method can therefore decrease the numberof incorrect detections that are made. The performance of this method was experimentally evaluated using observation data collected with a car, and the conditions under which this method could detect road departure were shown.

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Road Departure Detection Using State Diagrams and Statistical Hypothesis Tests in Map Matching

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Ris

Knowledge Discovery by Combination of Indexes for Signal Detection for Economic Time Series Data

Noriaki Koide, Koji Okuhara, Hiroshi Tsuda

pp. 62-67

DOI:

10.5687/iscie.26.62

Abstract

There are many types of Evolutionary Algorithm. Genetic Programming has the rich expression of the solution for a lot of problems, and Genetic Algorithm is good for the tuning of parameters for the array. However, when we apply each of them to the extraction of investment rule, it needs a lot of searching for useful solution in the field of foreign exchange. So we introduce the diversified investment using multiple solutions, and even if the searching is not good, we can decrease the risk with the diversified investment. In the numerical example, we compare the proposed hybrid algorithm of Genetic Programming including Genetic Algorithm with the island model in the layer of Genetic Programming which are different 3 tournament sizes without migration. It is shown our model has higher performance to economic time series data rather than others. Furthermore, it can be shown that our model can detect signal by the combination of indexes as the knowledge discovery.

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Knowledge Discovery by Combination of Indexes for Signal Detection for Economic Time Series Data

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Ris

Jurisdictional Area Minimizing Welfare Loss Based on Accessibility in Transportation Network

Koji Okuhara, Noriaki Koide, Yu Ichifuji, Noboru Sonehara

pp. 68-73

DOI:

10.5687/iscie.26.68

Abstract

In this paper we discuss about jurisdictional area of fire department minimizing welfare loss based on accessibility in transportation network. Our proposed method can support decision making of assignment problem in the real world by using program with the Google map API. In numerical example, we show that the accessibility of each fire department is higer than the average value of accessibility for all town in its jurisdictional areas. From the result of proposed optimization problem, some towns are shown to assign them to other jurisdictional area than a current jurisdictional area.

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Jurisdictional Area Minimizing Welfare Loss Based on Accessibility in Transportation Network

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A Control Strategy for Torque-unit Manipulators

Koji Yoshida, Yotaro Katayama, Tetsuya Kinugasa, Kengo Fukuda, Koichi Osuka

pp. 74-83

DOI:

10.5687/iscie.26.74

Abstract

Torque-unit Manipulator (TUM) is a design concept of space manipulator. A device which is called “torque unit” is equipped on each link of a kinematic chain whose joints are all free. The “torque unit” can be made easily of a rotary actuator and a disc. TUM is a kind of nonholonomic system and the angular velocity of each disc at each time depends on the trajectories of the links. Controllability has been considered to control the position of each link to desired position and the angular velocity of each disc to desired constant value, by planning the trajectories of the links for 2-dimensional N d.o.f. TUM. It consequently has been shown that it is impossible to control the angular velocity of each disc to desired constant value since TUM has a first integral. However the first integral allows us to control the angular velocities of the all discs to a constant value of zero. Then, a control strategy is considered and described based on the results of the consideration on the controllability of all state valuables of TUM in this paper.

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A Control Strategy for Torque-unit Manipulators

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The Proposal of the Advance Route Estimation System Using RSSI in a Mountain Area

Suguru Nakayama, Hideyuki Kobayashi, Kazufumi Nakai, Nobuo Ezaki, Naoto Yamabata, Hitoshi Kojiya, Akihiko Sugiura

pp. 84-85

DOI:

10.5687/iscie.26.84
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The Proposal of the Advance Route Estimation System Using RSSI in a Mountain Area

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