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Volume 49, Issue 11
Displaying 1-13 of 13 articles from this issue
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Special Issue on SSI2012:
Systems and Information Technologies for Interdisciplinary Research on Human, Machines, Organizations, Societies, and Environment
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[in Japanese]2013 Volume 49 Issue 11 Pages 985
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSDownload PDF (148K)
Paper
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Noriyasu NOTO, Hiroyuki OKUDA, Yuichi TAZAKI, Tatsuya SUZUKI, Soichiro ...2013 Volume 49 Issue 11 Pages 986-993
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSA cooperative parking system based on consensus control and mutual exclusion mechanism is developed. The system incorporates the idea of consensus control that has been actively studied in the field of multi-agent control in order to balance the amount of time required for parking. Moreover, the notion of exclusive region is newly introduced to avoid collisions at junctions. The system is evaluated through large-scale simulations and field tests in which multiple personal electric vehicles share position and velocity information via wireless communication network.View full abstractDownload PDF (1449K) -
Hirokazu MADOKORO, Nobuhiro SHIMOI, Kazuhito SATO2013 Volume 49 Issue 11 Pages 994-1003
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSThis paper presents a sensor system to predict behavior patterns that occur when patients leave their beds. We installed a triaxial accelerometer into a pillow of its bottom side. The features of our sensor are simple, low cost, and no restraint of patients. Moreover, we develop a recognition method of behavior patterns using unsupervised machine learning algorithms . We evaluated our method obtained using our sensor system for three subject at an environment that represents a clinical site. The recognition accuracy of the terminal sitting, which is defined a subject trying to leave the bed, is 94.4%. However, the recognition accuracy for seven behavior patterns is 56.3%. Misrecognition was remained inside sleeping, sitting and leaving in each category. The recognition accuracy is improved to 94.4% when we evaluated our method for these three categories.View full abstractDownload PDF (1790K) -
Keisuke KUNIYOSHI, Setsuya KURAHASHI2013 Volume 49 Issue 11 Pages 1004-1011
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSIt is important for teacher to design a class while grasping the state of students understanding. In order to grasp the state of students, I need an integrated approach with the state of students understanding and knowledge structure and collaborative learning. So I propose a new simulation that is built with a doubly structural network model. It has an internal network and a social network. An internal network is built from the knowledge structure and the state of students understanding. A social network is built from cooperative relationship in the class. I address two problems. The first is consideration of the effects of teaching strategy given to learning. The second is consideration of the effects of placement given to learning. I found these results, 1) differences in teaching strategy give a change in the learning effect, and teaching strategy that this simulation produces has a high educational effect, 2) if a teacher gives a knowledge only once, dropouts tend to occur, 3) placing the students distributed tends to have the effect of education than placing the students centralized.View full abstractDownload PDF (1640K) -
Manabu ICHIKAWA, Hiroshi DEGUCHI2013 Volume 49 Issue 11 Pages 1012-1019
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSThis paper describes specific points of simulation models in the urban simulation domain. Most of the agent-based models in this domain are made with using the cellular automaton methodology, but lack of considering life spaces, such as houses, offices, schools and so on. In this paper, we make two similar infection models. One is based on the cellular automaton and the geographic information system without considering life spaces, while the other is with life spaces considered. From simulation results, we find that simulation results become significantly different due to the differences between ways of model construction, and realize that life spaces are very important for some social phenomena that focus on interactions between human and human, and human and spaces, such as a spreading infection phenomenon.View full abstractDownload PDF (1344K) -
Keiji SATO, Hiroyuki SATO, Keiki TAKADAMA2013 Volume 49 Issue 11 Pages 1020-1028
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSThis paper proposes a concept and mechanism of the pivot-based generalization which can adapt to changing environment by introducing s# which represents two opposite situations while # which represents one situation in the context of Learning Classifier Systems. Intensive experiments, have revealed that (1) the pivot-based generalization can generalize individuals in the 2-objective Knapsack problem and real world water bus route optimization problem; (2) the sharp distance which represents distance between each individuals of the generalize individual contributes to controlling the number of s# individuals; (3) the pivot-based generalization of individuals can clarify the feature of solution space.View full abstractDownload PDF (1985K) -
Daisuke KIHARA, Harutoyo HIRANO, Hiroki HIRANO, Yuichi KURITA, Teiji U ...2013 Volume 49 Issue 11 Pages 1029-1036
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSThe flow-mediated dilation (FMD) test is a method of evaluating the vascular endothelial function and has been popular as it is noninvasive and readily performed by a skillful ultrasound technician. The FMD test, however, evaluates only the maximal increase in vascular diameter mediated by the increases in blood flow after the release of the occlusive cuff and does not evaluate the arterial viscoelastic properties. Therefore, this paper proposes a new index, called log-linearlized viscoelasticity, to evaluate the arterial viscoelastic properties using the arterial diameter and blood pressure measured in a beat-to-beat manner during the FMD test. To six healthy people, we performed the FMD test to measure the arterial diameter and blood pressure with ultrasound diagnostic imaging equipment and noninvasive continuous arterial blood pressure monitor. As a result, the maximal vasodilatation ratio of FMD (%FMD) was obtained after cuff occlusion. In comparison with the arterial viscoelastic characteristics before FMD test, the stiffness of the arterial wall β and the viscosity of the artery η temporarily decreased and increased, respectively. The change of log-linearlized viscoelasticity after cuff occlusion may be caused by vascular endothelial function. Vascular endothelial function might thus be estimated using the arterial viscoelasticity β and η.View full abstractDownload PDF (2231K) -
Ryo NAKAMOTO, Takashi OKAMOTO, Seiichi KOAKUTSU, Hironori HIRATA2013 Volume 49 Issue 11 Pages 1037-1046
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSA complex network design method that finds a desired network structure can become one of strong tools in large-scale system designs. In the complex networks with flows, such as the power grid and the computer networks, the cascade failure attacks have attracted a lot of attentions. In the cascade failure, failures of a small number of nodes trigger failures of other nodes in the network; then, a big failure arises eventually. Previous studies have focused on the way to deal with the cascade failure in a static network. The design of the network which is robust over the cascade failure has not been studied much. In this paper, we propose a design method of complex networks which is robust over the cascade failure, utilizing the growing complex network design method. Then, we confirm the effectiveness of the proposed method through the numerical experiments.View full abstractDownload PDF (812K) -
Tadahiro TANIGUCHI, Genki YAMASHITA, Shogo NAGASAKA, Takashi BANDO, Ka ...2013 Volume 49 Issue 11 Pages 1047-1056
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSThe double articulation analyzer is a machine learning algorithm which can extract double articulation structure from time series data based on nonparametric Bayesian approach. The method was proved to detect intentional changes of a driver from time series data recorded by an instrumented vehicle. In this paper, we segment time series data obtained during a driver drove a car through two types of courses using the double articulation analyzer, and analyze the extracted robust chunks by comparing with tags which were added to the recorded data by human participants.View full abstractDownload PDF (2281K) -
Takaaki IMOTO, Toyohiro UMEDA, Michinobu MIZUNO2013 Volume 49 Issue 11 Pages 1057-1063
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSThis paper first describes a two-step method for adjusting equipment load in a materials processing plant having batch annealing furnaces. The first step takes a loading approach, in which delivery date is followed without accounting for the equipment capacity. The second step takes a leveling approach, in which the process time zone and process machines are altered to maximize the production volume and to minimize the work-in-process. The leveling priorities are determined based on the work-in-process and delivery dates of products. This method enables planning for production while minimizing production lead time. This paper second describes a distributed scheduling method. The proposed approach limits the processing time based on result of adjusting equipment load for creating a feasible scheduling. This paper includes the results of a computer experiment conducted to validate the proposed method.View full abstractDownload PDF (1339K) -
Hiroshi OMI, Takuya MATSUMOTO, Hisashi TAMAKI2013 Volume 49 Issue 11 Pages 1064-1073
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSIn case of considering human-machine systems such as robots, vehicles, etc., it is required to take care of not only human intelligence but also human skill. In this research, racing kart driving is taken as an example of the human-machine systems, and a simulation model of racing kart driving, with respect to a driving agent, is designed. In designing a driving agent, ways of realizing the manner of information processing by human driving on a certain granularity and also representing the factors characterizing the humanness of information processing are newly designed and implemented. Through some computational experiments as well as the actual ones, it is confirmed that the proposed model has a good representation of actual driving, and that the model has a potential for reproducing a variety of driving behaviors including beginners' and experienced drivers' ones.View full abstractDownload PDF (1798K) -
Makoto MOCHIZUKI, Yoshiki NII, Keisuke SUZUKI, Kiichi YAMADA2013 Volume 49 Issue 11 Pages 1074-1081
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSIn this study, a methodology for estimating the collision mitigation ratio is discussed, using the collision-prevention system by supplying aroma to the drivers whose attentiveness to driving is decreasing due to a long drive. First, Time Series Reliability Model, which is a driver-model considering the driver's time-series cognitive status is constructed and the collision mitigation ratio is estimated. Next, State Transition Probabilistic Model, which is a driver-model based on the concept of system reliability engineering is constructed and the collision mitigation ratio is estimated. Lastly the results from each driver-model are compared and the validity of Time Series Reliability Model is discussed.View full abstractDownload PDF (1317K)
Short Paper
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—Control of Bio-nanonetworks Using Solitons—Miki HIRABAYASHI, Ibuki KAWAMATA, Masami HAGIYA, Hiroaki KOJIMA, Kazuh ...2013 Volume 49 Issue 11 Pages 1082-1084
Published: 2013
Released on J-STAGE: November 27, 2013
JOURNAL FREE ACCESSAn simulation analysis on the control of bionanonetworks of DNA nanomachines using solitons induced by the terahertz radiation is presented. It is expected that the soliton breather wave in DNA can promote the branch migration to lead the effective change of the network formation toward the successful missions. Our results show new possibilities of terahertz communication through the regulation of bio-nanonetworks that consist of artificial molecular machines.View full abstractDownload PDF (772K)
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