Inference of power plant quake-proof information based on interactive data mining approach

Shu, Y.*

Advanced Engineering Informatics, 21(3), p.257 - 267, 2007/07

https://doi.org/10.1016/j.aei.2006.12.005

This paper presents a nonlinear structural health inference technique, based on an interactive data mining approach. A minig control agent emulating cognitive process of human analysts is developed and integrated in the data mining loop, analyzing and verifying the output of the data miner and controlling the data mining process to improve the interaction between human users and computer system. Additionally, an artificial neural network method, which is adopted as a core component of the proposed interactive data mining method, is evolved by adding a novelty detecting and retraining function for handling complicated nuclear power plant quake-proof data. Based on proposed approach, an information inference system has been developed. To demonstrate how the proposed technique can be used as a powerful tool for inferring of structural health status in unclear power plant, quake-proof testing data have been applied.

Time reversal symmetry breaking in superconducting (Pr,La)OsSb and Pr(Os,Ru)Sb

Shu, L.*; Higemoto, Wataru; Aoki, Yuji*; Frederick, N. A.*; Yuhasz, W. M.*; Heffner, R. H.; Oishi, Kazuki; Ishida, Kenji*; Kadono, Ryosuke*; Koda, Akihiro*; et al.

Journal of Magnetism and Magnetic Materials, 310(2, Part1), p.551 - 553, 2006/11

An Inference method of team situation awareness based on mutual awareness

Shu, Y.; Furuta, Kazuo*

Cognition, Technology & Work, 7(4), p.272 - 287, 2005/11

Team Situation Awareness (TSA) is a critical contributing factor in establishing collaborative relations among team members involved in cooperative activity. Currently, however, there is still a lack of a clearly understandable and commonly agreeable model of TSA. To resolve misunderstanding or conflict among team members or between a team and machines, our research aim is to find out the underlying mechanism of TSA that reflects team cognitive process in a way consistent with team cooperative activity, and to focus on how to achieve mutual understanding, and how to effectively incorporate human teams into a socio-technological system. In this paper, we argue that earlier models of TSA, where TSA was discussed as the intersection of situation awareness (SA) owned by individual team members, are inadequate for study of a sophisticated team reciprocal process. We suggest that it is necessary for the definition of TSA to integrate the notion of individual SA into cooperative team activity. In particular, understanding of mutual awareness is an essential element in cooperative activity. We propose a new notion of TSA, which is reducible to mutual beliefs as well as individual SA at three levels. Further, we develop an operational TSA inference method and discuss human competence and system-related factors that are required to build TSA. We then try to demonstrate how TSA is actively constructed via inferencing practices. We also develop criteria to assess appropriateness of TSA from two aspects: soundness and completeness of mutual beliefs. Comparison of evaluation results indicates that the notion of TSA proposed in this work is more suitable to depict team cooperative activity than conventional ones.

Building plant quake-proof information inference system based on hybrid data mining approach

Shu, Y.; Nakajima, Norihiro

Proceedings of 1st International Workshop on Risk Management System with Intelligent Data Analysis (RMDA 2005) in Conjunction with 19th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2005), p.35 - 44, 2005/06

This paper presents an intelligent information inference system based on a hybrid data mining approach, which integrates human cognitive model in a data mining loop. In the proposed system, the mining control agent emulated human analysts interacts directly with the data miner, analyzing and verifying the output of the data miner and controlling the data mining process. In additional, the neural network method, which is adopted as a core component of the proposed hybrid data mining method, is evolved by adding the retraining facility and explaining function for handling complicated quake-proof data of nuclear power plant. To demonstrate how the method can be used as a powerful tool for extracting information relevant to plant safety and reliability, plant quake-proof testing data have been applied to the inference system.

Enhancing team situation awareness of plant operators through team-level mutual awareness inference

Shu, Y.; Nakajima, Norihiro; Furuta, Kazuo*

Proceedings of 8th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2004), p.184 - 185, 2004/07

Team Situation Awareness (TSA) is a critical contributing factor in enhancing reliability of team performance. How to effectively incorporate between human teams and artifacts, how to achieve mutual understanding, is the major topic in this paper. Based on our previous study on TSA, an argument will be presented that recognition, SA inferring, and mutual responsiveness are the prerequisite abilities to engage in cooperative activity. We also develop the principle to assess appropriateness of TSA from two aspects: the soundness and completeness of mutual belief. Simulation results will be given to indicate that team uses the information from external environment to establish effective TSA based on internal knowledge.