日本データベース学会の皆様： 熊本大学の有次正義と申します． International Journal of Distributed Sensor Networks で， Special Collection on Multi-Sensor Information Fusion という特集号を企画しております． https://journals.sagepub.com/page/dsn/collections/special-issues/multi-senso r-fusion 投稿締切は，２０１９年６月３０日です． ご投稿をよろしくお願いいたします． -- 有次 正義（ありつぎ まさよし） Sensor Networks Call for Papers: Special Collection on Multi-Sensor Information Fusion To have your paper included, submit by June 30, 2019 Multi-sensor information fusion is the process of combining observations from different sensors for the purpose of improving application or system performance. Information fusion finds broad applications in many areas including wireless sensor networks, fault diagnosis, pattern recognition, risk analysis, image processing, target tracking, business intelligence, and artificial intelligence. However, due to urgent need for real world applications, the paradigm of multi-sensor information fusion requires transferring from a centralised architecture to a decentralised or distributed architecture along with the advancement in sensor and communication technologies. For example, how can the multi-sensor information fusion techniques incorporate multiple time scales in a homogeneous/ distributed sensor environment? The goal of this Special Collection is to report on innovative ideas and solutions for the multi-sensor information fusion studies in terms of theory and emerging applications, including system development, exploitation, and applications. Potential topics include but are not limited to: ● Uncertain information integration ● Fusion estimation and control algorithms ● Possibility theory and other reasoning methods ● Knowledge cognitive based on multi-sensor systems ● Modelling by the big data from multi-sensor systems ● The structure and/or levels of a multi-sensor system ● Multi-sensor information fusion techniques for real-time applications ● Multi-sensor information fusion techniques for distributed applications ● Multi-sensor information fusion techniques for artificial intelligence areas ● Multi-sensor information fusion techniques for practical applications ● Multi-sensor information fusion in the presence of data inconsistency and uncertainty Keywords: Uncertain information integration, Multi-sensor information fusion, Multi-level decision making, Multi-sensor architecture, Distributed information fusion, Remote sensing information processing Deadline for submissions June 30, 2019