@techreport{oai:sucra.repo.nii.ac.jp:00011712,
 author = {小島, 一恭},
 month = {},
 note = {プロジェクト番号 : A09-28, This study addresses a method for using many unspecified sensors on a sensor netowork, including information about unspecified sensors available on the internet to obtain useful information at a given time and place. Here, we describe a method for predicting the behavior of a system involving the thermal sensation of human subjects by using unspecified sensors organized into a certain sensor network. However, the problem dealt with here is not confined to the formation of a sensor network from many sensor nodes, but extends to the problem of how each node discovers and uses only the effective sensors out of a vast quantity of sensors.
 In this study, we utilize a dynamically changing neural network for predicting the system behavior. As an example case, the thermal sensation of the subjects is predicted by using unspecified temperature sensors, humidity sensors, and global temperature sensors. We place a large number of sensors and subjects in an indoor environment, and conduct an experiment where the sensor readings and the thermal sensation of the subjects are associated. Finally, the experimental results are shown, where unspecified sensors are chosen properly and used for predicting the desired value., 若手展開研究 : カテゴリB, text, application/pdf},
 title = {人間 : 環境系における人間の感覚予測のための次世代センサーネットワーク技術に関する研究},
 year = {2010},
 yomi = {KOJIMA, Kazuyuki}
}