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Author:   Poong-Hyun Seong
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   Softcover reprint of hardcover 1st ed. 2009
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.504kg
ISBN:  

9781849967976

ISBN 10:   1849967970
Pages:   304
Publication Date:   28 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Hardware-related Issues and Countermeasures.- Reliability of Electronic Components.- Issues in System Reliability and Risk Model.- Case Studies for System Reliability and Risk Assessment.- Software-related Issues and Countermeasures.- Software Faults and Reliability.- Software Reliability Improvement Techniques.- NuSEE: Nuclear Software Engineering Environment.- Human-factors-related Issues and Countermeasures.- Human Reliability Analysis in Large-scale Digital Control Systems.- Human Factors Engineering in Large-scale Digital Control Systems.- HUPESS: Human Performance Evaluation Support System.- Integrated System-related Issues and Countermeasures.- Issues in Integrated Model of I&C Systems and Human Operators.- Countermeasures in Integrated Model of I&C Systems and Human Operators.- INDESCO: Integrated Decision Support System to Aid the Cognitive Activities of Operators.

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Author Information

Poong Hyun Seong is a full professor at the Korea Advanced Institute of Science and Technology (KAIST), where he founded the Nuclear Instrumentation and Control and Information Engineering (NICIE) laboratory, one of the National Research Laboratories (NRL). He has served as a consultant to the Korea Electric Power Research Institute (KEPRI), the Korea Power Electric Company (KOPEC), and the Korea Atomic Energy Research Institute (KAERI). His research interests include research and development of digital instrumentation and control systems, software verification and validation, digital system reliability/safety assessment, human reliability assessment (HRA), quantitative safety assessment of instrumentation and control systems (including human operators), cognitive systems engineering, and research and development of ubiquitous maintenance systems.

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