• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.3
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• pp.87-92
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• 2018

This thesis is to provide procedures for documenting implementation performance and methodology of practical SMS enactment for Approved Training Organization(ATO). As an example, C flight training center, according MOLIT "Guidance on SMS Implementation", derived 32 implementation documents after writing the SMS manual to implement it. The 32 implementation documents are divided into 5 fields. In detail, they are (1) 2 documents on SMS Manual, (2) 7 documents on Safety policy and objectives (3) 3 documents on Safety risk management (4) 15 documents on Safety assurance (5) 5 documents on Safety promotion. By describing the documented performances according to these 32 implementation documents that was in use for 1 year in 2017, it is suggested that this procedure can be a methodology for practically enactment and implementing the SMS manual.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1016-1022
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• 2007

It is demanded to produce the safety evidence documents in other to approval safety characteristic of railway signaling system which stands is included, it is demanding from IEC 62425 standards. Also it is express clearly that safety assessment if signaling system has to be verification of these safety evidence documents. This Safety Case has the results of safety activity through system life-cycle, such as hazard lists, hazard identification and analysis, risk assessment and countermeasure, verification and test results. Consequently, first of all, the analysis and verification of these Safety Case documents has to be accomplished to approval and acceptance of signaling system safety. And also if the safety assessor was want, it is able to be experimental test auditory which is, arbitrary faults injection test, to above described documents verification. In this paper, the contents and architecture of Safety Case are presented as first steps of safety assessment technology establishment for railway signaling system.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.77-84
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• 2018

Report documents of industrial and occupational accidents have continuously been accumulated in private and public institutes. Amongst others, information on narrative-texts of accidents such as accident processes and risk factors contained in disaster report documents is gaining the useful value for accident analysis. Despite this increasingly potential value of analysis of text information, scientific and algorithmic text analytics for safety management has not been carried out yet. Thus, this study aims to develop data processing and visualization techniques that provide a systematic and structural view of text information contained in a disaster report document so that safety managers can effectively analyze accident risk factors. To this end, the risk factor map using text mining and self-organizing map is developed. Text mining is firstly used to extract risk keywords from disaster report documents and then, the Self-Organizing Map (SOM) algorithm is conducted to visualize the risk factor map based on the similarity of disaster report documents. As a result, it is expected that fruitful text information buried in a myriad of disaster report documents is analyzed, providing risk factors to safety managers.

• Journal of the Korean Society of Safety
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• v.33 no.3
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• pp.58-64
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• 2018

Recently, a lot of accident report documents have accumulated in almost all of industries, including critical information of accidents. Accordingly, text data contained in accident report documents are considered useful information for understanding accident processes. However, there has been a lack of systematic approaches to analyzing accident report documents. In this respect, this paper aims at proposing text analytics approach to extracting critical information on accident processes. To be specific, major causes of the accident occurrence are classified based on text information contained in accident report documents by using both textmining and latent Dirichlet allocation (LDA) algorithms. The textmining algorithm is used to structure the document-term matrix and the LDA algorithm is applied to extract latent topics included in a lot of accident report documents. We extract ten topics of accidents as accident types and related keywords of accidents with respect to each accident type. The cause-and-effect diagram is then depicted as a tool for navigating processes of the accident occurrence by structuring causes extracted from LDA. Further, the trends of accidents are identified to explore patterns of accident occurrence in each of types. Three patterns of increasing to decreasing, decreasing to increasing, or only increasing are presented in the case of a chemical plant. The proposed approach helps safety managers systematically supervise the causes and processes of accidents through analysis of text information contained in accident report documents.

• Journal of the Korean Society of Safety
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• v.37 no.1
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• pp.41-48
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• 2022

Bridge engineering documents have essential contents that must be referenced continuously throughout a structure's entire life cycle, but research related to the quality of the contents is still lacking. XML schema matching is an excellent technique to improve the quality of stored data; however, it takes excessive computing time when applied to documents with many contents and a deep hierarchical structure, such as bridge engineering documents. Moreover, it requires a manual parametric study for matching elements' weight factors, maintaining a high matching accuracy. This study proposes an efficient weight-factor determination method based on an artificial neural network (ANN) model using the simplified XML schema-matching method proposed in a previous research to reduce the computing time. The ANN model was generated and verified using 580 data of document properties, weight factors, and matching accuracy. The proposed ANN-based schema-matching method showed superiority in terms of accuracy and efficiency compared with the previous study on XML schema matching for bridge engineering documents.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.371-372
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• 2023

If the participants in construction site safety management perform their duties in accordance with the provisions of the Industrial Safety and Health Act, the burden on safety managers would be minimal. However, the lack of specific work guidelines for each participating entity and the greater responsibility of the safety and health general manager than the management supervisor have resulted in safety managers' workload being increased due to the problem of management supervisors' neglect of safety management. In this study, we conducted a survey of the safety manager's duties and related documents during the construction project initiation, early stages, ongoing work, and disaster occurrence/investigation, and conducted interviews to improve and enhance the division of duties.

• 한국방재학회:학술대회논문집
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• 2007.02a
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• pp.414-417
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• 2007

A methodology for XML documentation of the structural calculation document is presented to support manipulation of the design information on the internet. The text file format is chosen as a neutral format because it can be easily translated from office documents generated from engineering practice. The first word of each line is compared with the reserved numbering groups, and relative levels among the lines are defined to generate the hierarchically structured XML document of the text file. The demonstration subjected to sample general documents and structural calculation documents shows that the prototype application module based on the developed methodology can be adopted to build the database of design information which supports the safety management of infrastructures.

• Journal of the Korea Safety Management & Science
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• v.12 no.1
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• pp.105-111
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• 2010

The air logistics process is complex and need many informations because various agencies participate in the logistics service and there are many stakeholders in air logistics. But it is hard to improve the infra of facilities because of an enormous expense, so it needs to simplify air logistics process for growing air freight. When documents are sent, it needs to change the form of documents in spite of same document due to different form by agencies. Also documents are changed even though different documents have same informations. Consequently, errors are increased because the names of the same data are different from each other and stakeholders reproduce the documents. In order to mitigate these problems, we selected documents and analyzed data of documents for the interface optimization in general air logistics process. Next, we unified the names of data and defined contents of data. Also we set the type of the defined data on DB type, and gave the code to the defined data. It made easy to exchange informations among the stakeholders to match documents corresponding with the defined data.

• Nuclear Engineering and Technology
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• v.44 no.6
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• pp.689-696
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• 2012

A small integral reactor SMART (System Integrated Modular Advanced ReacTor), being developed in Korea since late 1990s and targeted to obtaining a standard design approval by the end of 2011, is introduced. The design scope and level for design certification (DC) is well described in the U.S. NRC SECY documents published the early 1990s. However, the documents are valid for a one-step licensing process called a combined operating license (COL) by the U.S. NRC, while Korea still uses a two-step licensing process. Thus, referencing the concept of the SECY documents, we have established the design scope and level for the SMART DC using the contexts of the standard review plan (SRP). Some examples of the results and issues raised during our review are briefly presented in this paper. The same methodology will be applied to other types of reactor under development in Korea, such as future VHTR reactors.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.351-360
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• 2020

If various unreasonable safety standards are preemptively and effectively readjusted, the risk of accidents can be reduced. In this paper, we proposed a machine reading comprehension-based safety standard Q&A system to secure supporting technology for effective search and analysis of safety standards for integrated and systematic management of safety standards. The proposed model finds documents related to safety standard questions in the various laws and regulations, and then divides these documents into provisions. Only those provisions that are likely to contain the answer to the question are selected, and then the BERT-based machine reading comprehension model is used to find answers to questions related to safety standards. When the proposed safety standard Q&A system is applied to KorQuAD dataset, the performance of EM 40.42% and F1 55.34% are shown.