著者
Tadahiko MURATA Takuya HARADA Daiki MASUI
出版者
The Society of Instrument and Control Engineers
雑誌
SICE Journal of Control, Measurement, and System Integration (ISSN:18824889)
巻号頁・発行日
vol.10, no.6, pp.513-519, 2017 (Released:2017-12-17)
参考文献数
20
被引用文献数
1 9

In this paper, we modify a synthetic reconstruction (SR) method without samples. The synthetic reconstruction method is a method to generate attributes of population such as age, sex and kinship within a family according to available statistics. Although the original SR method employs some individual samples that are collected to make a statistics, it is criticized that generated attributes are only within the samples used in the reconstruction process. In this paper, we employ a simulated annealing-based SR method without samples. We compare two types of generation methods of a candidate solution in a search of simulated annealing: changing age of an agent (age-change) or swapping ages of two agents (age-swap). Results of synthetic reconstruction show that age-change is better when we limit the number of search. On the other hand, age-swap is better when we have enough number of search for reconstructing a population.
著者
原田 卓弥 鈴木 貴之 戸花 善紀 湯口 雅史 Takuya HARADA Takayuki SUZUKI Yoshiki TOHANA Masafumi YUGUCHI
出版者
鳴門教育大学地域連携センター
雑誌
鳴門教育大学学校教育研究紀要 = Bulletin of Center for Collaboration in Community Naruto University of Education (ISSN:18806864)
巻号頁・発行日
vol.33, pp.95-102, 2019-02

新学習指導要領では,「主体的・対話的で深い学び」の実現に向けた授業改善を求めており,主体的に学びに参加する子どもの育成を推し進めている。体育科では,運動への好意的なかかわりの2極化傾向が課題として挙げられ,負の極に位置する子どもに焦点を当てた授業展開に大きな関心が寄せられている。陸上運動・リレーにおいて,走力の差が主体的な学びへの参加の差にも現れている現状をふまえ,「運動の本質的なおもしろさ」に着目して,走路が全て円形という教材の開発を図った。そして,ワークシートから収集したデータをテキストマイニングにより分析した結果,主体的に学びに参加している子どもの姿を確認することで,「サークルリレー」という教材の有用性が示唆された。
著者
Takuya HARADA Tadahiko MURATA
出版者
The Society of Instrument and Control Engineers
雑誌
SICE Journal of Control, Measurement, and System Integration (ISSN:18824889)
巻号頁・発行日
vol.10, no.6, pp.505-512, 2017 (Released:2017-12-17)
参考文献数
17
被引用文献数
10

In this paper, we propose a method to project households of synthetic population using fundamental geospatial data for real-world social simulations. That is, we assign each generated household on a building in a geographical map. When we try to conduct a real-scale social simulation, we need attributes of agents and their locations on a geographical map. We have already proposed a synthetic population method that generates attributes of agents or citizens from the statistics of the real world. To determine the locations of agents, we propose, in this paper, a threefold method to project generated households on buildings in a geographical map using the fundamental geospatial data. We apply the proposed method to project households generated from the statistics of Takatsuki City, Osaka, Japan and project them on buildings in the map. In order to cope with a problem of random assignment of households on buildings, we propose a modified method to consider types and area of buildings. Projection results show that households are assigned more reasonably to isolated houses and apartments.