IPSJ SIG Technical Report Vol.2014-CE-127 No /12/7 1,a) 2,3 2,3 3 Development of the ethological recording application for the understanding of
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1 1,a) 2,3 2,3 3 Development of the ethological recording application for the understanding of the zoo animals behavior Yoshida Nobuaki 1,a) Tanaka Masayuki 2,3 Wada Seitaro 2,3 Abstract: The authors are developing and evaluating the ethological recording application for zoo visitors on tablet computers. With this application, zoo visitors record zoo animals location and behavior in 3- dimensional data, and look see the result with the web-based application. In this paper, we describe the outline of the application and its initial evaluation. Although zoo animals are not in the wild, visitors can observe varied animal species nearby in the zoo. This application takes advantage of zoo s this characteristic. Using this application, zoo visitors can understand wildlife and nature through ethological observation in a scientific manner. In addition, recorded data will be utilized for animal husbandry in the zoo. Keywords: zoo,ethology,tablet computer 1. 1 ASTEM RI / Kyoto 2 Center for Research and Education of Wildlife, Kyoto City Zoo 3 Wildlife Research Center, Kyoto University a) nyoshi@astem.or.jp c 2014 Information Processing Society of Japan 1
2 遠隔授業 課外授業 活き活きとした飼育展示 教育プログラム 動物舎内センサー より適切な飼育管理への活用客観的データによる教育用素材 観察データの蓄積 園内無線ネットワークを介したセンサーデータの集約 飼育管理システム 1 [1] 2015 ( 1) 2 : 2 ( ) c 2014 Information Processing Society of Japan 2
3 (a) 3 ( ) ( ) 4 (b) ( ) : ( 2) (3 ) ( 3) (3 ) (2 ) *1 3 2 : ( 3 ) * (STL 3 ) 3 (2 ) c 2014 Information Processing Society of Japan 3
4 4 4(a) 1 1 4(b) ( 5) web HTML5 HTTP Android ios Windows 8 OS web web [2] NoSQL MongoDB[3] c 2014 Information Processing Society of Japan 4
5 (a) 3 ( ) 5 ( ) (b) 2 ( ) 園内無線 HTTPサーバネットワークタブレット端末観察記録機能 R+Shiny データ閲覧機能 mongodb 6 飼育管理システムデータ閲覧ツール利用利用登録登録登録利用教育用アプリケーションセンサー (a) 8(b) x y z 3 3 [4] course MongoDB R [5] R 3 R 3 rgl WebGL[6] Shiny[7] R web R 3 web 3 c 2014 Information Processing Society of Japan 5
6 { } "_id" : ObjectId(" b0d3cfa0c02174d"), "humid" : 63, "temp" : 12.9, "time" : NumberLong( ) (a) { "_id" : ObjectId("543f740e8158e772387b23c7"), "course" : DBRef(...), "area" : DBRef(...), "animal" : DBRef(...), "time" : ISODate(" T07:30:22.199Z"), "x" : 13523, "y" : 13171, "z" : 628, "text" : " ", "ip" : "XXX.XXX.XXX.XXX", "nickname" : " " } (b) 8 R 3. : LAN ( ) 3 ( ) 2 ( ) 9 ( ) ( ) ( ) 3 ( ) ( ) ( ) ( ) ( ) ( ) c 2014 Information Processing Society of Japan 6
7 ( ) ( ) 3.3 5(a) ( ) ( ) 3 5 LAN web 4. GPS [2], [8], [9] [10] [11] 5. 3 NoSQL c 2014 Information Processing Society of Japan 7
8 25 (SCOPE) ICT [1] (2009). [2] Vol. 3, No. 4, pp (2012). [3] MongoDB, Inc.: mongodb, [4] Vol. 2014, No. 2, p.203 (2014). [5] R Development Core Team: The R Project for Statistical Computing, [6] Khronos Group: WebGL Specification, khronos.org/webgl/ (2013). [7] RStudio: Shiny, [8] GPS PDA Vol. 28, No. 1, pp (2004). [9] GPS. EC, Vol. 2009, No. 26, pp (2009). [10] : IT. Vol. 2007, No. 123, pp (2007). [11] SAGA15 (2012). c 2014 Information Processing Society of Japan 8
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