• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.3
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• pp.115-126
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• 2008

This thesis is the research for methods to forecast of dynamic changes at retail stores in the ubiquitous era, and, through adopting RFID based technology, to minimize cost of operation of stores and bringing up better customer service. The core methods had been researched and studied are to build future-oriented stores by providing store system with better customer's convenience based on referring to case studies of future-oriented stores and efficient inventory management method enabling more profitable store, and adopting Smart Carts, Smart Shelf and e-POP and environment sensors as a method in order to provide more improved customer service.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.14-20
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• 2021

The method of analysis and research is applied in the work methods of managing student activities. Effective forms and methods of student quality management are determined. The model of management of educational process of students is offered. The model is to activate the student's potential, while maintaining the classical educational paradigm. The analysis of features of management of activity of students in modern model of education is carried out.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.2
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• pp.111-116
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• 2021

Normal Operation Safety Survey (NOSS) is a safety management tool used by air traffic control organizations to measure data related to threats and errors to proactively prevent accidents before they occur. NOSS was developed to be applied to the air traffic control field according to the concept of Line Operation Safety Audit (LOSA) conducted by airlines to reduce human errors in the cockpits. Safety management based on data is crucial for the prevention of control-related accidents, and the competency of observers for this is important for the successful implementation of NOSS. Based on LOSA implementation experiences and expert interviews, this paper introduces the international NOSS methods and discusses the key factors required for effective observation and the implementation methods and implications of NOSS observer training.

• Journal of Information Science Theory and Practice
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• v.11 no.3
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• pp.79-91
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• 2023

The storage of data documentation for Myanmar pagodas has various issues, and its retrieval method causes problems for users and libraries. This study utilized a mixed-methods approach, combining qualitative and quantitative methods to investigate pagoda data management in Myanmar libraries. The study aims to achieve the following objectives: to study the library collection management of pagodas in Myanmar, to investigate the management of pagoda data in Myanmar libraries, and to identify the pagoda data requirements for metadata development from the library professional perspective. The study findings revealed several challenges facing librarians and library users in accessing and managing Myanmar pagoda data, including limited stocks and retrieval tools, difficulty in accessing all available data online, and a lack of a centralized database or repository for storing and retrieving pagoda data. The study recommends the establishment of metadata criteria for managing a set of pagoda data and improving access to technology to address these challenges.

• Nuclear Engineering and Technology
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• v.31 no.6
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• pp.8-22
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• 1999

This study was performed to comparatively evaluate selected Human Reliability Analysis (HRA) methods which mainly focus on cognitive error analysis, and to derive the requirement of a new human error analysis (HEA) framework for Accident Management (AM) in Nuclear Power Plants (NPPs). In order to achieve this goal, we carried out a case study of human error analysis on an AM task in NPPs. In the study we evaluated three cognitive HEA methods, HRMS, CREAM and PHECA, which were selected through the review of the currently available seven cognitive HEA methods. The task of reactor cavity flooding was chosen for the application study as one of typical tasks of AM in NPPs. From the study, we derived seven requirement items for a new HEA method of AM in NPPs. We could also evaluate the applicability of three cognitive HEA methods to AM tasks. CREAM is considered to be more appropriate than others for the analysis of AM tasks, HRMS is also applicable to the error analysis of AM tasks. But, PHECA is regarded less appropriate for the predictive HEA technique as well as for the analysis of AM tasks. In addition to these, the advantages and disadvantagesofeachmethodaredescribed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.251-254
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• 2003

In order for multidimensional infer structures to be integrated into an existing database management system, proper concurrency control methods that guarantee all isolation levels supported by the database management system. Several concurrency control methods have been proposed. They ran be classified into predicate locking based methods and granular locking based methods. Most of them are difficult to implement and ran not be applied to non-tree structured index structures. In this paper, we propose a new concurrency control method that guarantee all isolation levels. It is easy to implement and can be applied to any type of index structures. We implement the proposed method and existing methods, and perform various experiments to show the superiority of the proposed algorithm.

• Journal of Korean Society for Quality Management
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• v.46 no.1
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• pp.39-74
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• 2018

Purpose: For more than 30 years, robust parameter design (RPD), which attempts to minimize the process bias (i.e., deviation between the mean and the target) and its variability simultaneously, has received consistent attention from researchers in academia and industry. Based on Taguchi's philosophy, a number of RPD methodologies have been developed to improve the quality of products and processes. The primary purpose of this paper is to review and discuss existing RPD methodologies in terms of the three sequential RPD procedures of experimental design, parameter estimation, and optimization. Methods: This literature study composes three review aspects including experimental design, estimation modeling, and optimization methods. Results: To analyze the benefits and weaknesses of conventional RPD methods and investigate the requirements of future research, we first analyze a variety of experimental formats associated with input control and noise factors, output responses and replication, and estimation approaches. Secondly, existing estimation methods are categorized according to their implementation of least-squares, maximum likelihood estimation, generalized linear models, Bayesian techniques, or the response surface methodology. Thirdly, optimization models for single and multiple responses problems are analyzed within their historical and functional framework. Conclusion: This study identifies the current RPD foundations and unresolved problems, including ample discussion of further directions of study.

• Proceedings of the Safety Management and Science Conference
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• 2000.05a
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• pp.499-513
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• 2000

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.95-95
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• 1996

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1999.04a
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• pp.315-315
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• 1999