学会員メーリングリストアーカイブ (2019年)

[dbjapan] IJDSN CFP - SI on Multi-Sensor Information Fusion


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