• 한국건축시공학회지
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• 제22권5호
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• pp.497-506
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• 2022

최근 전문건설업종의 대공종화/대업종화가 진행되고 있으며, 건설공사의 기술적인 전문성을 고려하지 않은 채 전문건설 업종을 편리에 따라 통합·신설하고, 고유의 업종을 폐지하는 방향으로 추진하고 있어서 건설산업 생산구조에 혼란을 초래하며, 업종 단순화만을 목표로 하여 설득력이 떨어지므로 전문건설업의 세부 공종 특성에 따라 재편 방안을 검토하는 것이 바람직하다고 판단된다. 본 연구에서는 전문공사업의 전문성에 대한 특수성을 고려한 합리적인 분류체계의 개편을 검토하기 위하여 도장공사, 조경공사의 사례를 대상으로 공사의 구분, 주요 업무내용 및 특성, 기술적 전문성, 대업종화에 대한 문제점을 분석하였다. 이를 바탕으로 현행 전문건설업 업종분류체계 개편 시 고려하여야 할 사항을 도출하고 합리적인 업종별 개편방안을 제시하고 한다.

• Safety and Health at Work
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• 제8권3호
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• pp.267-275
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• 2017

Background: The mining industry is known worldwide for its highly risky and hazardous working environment. Technological advancement in ore extraction techniques for proliferation of production levels has caused further concern for safety in this industry. Research so far in the area of safety has revealed that the majority of incidents in hazardous industry take place because of human error, the control of which would enhance safety levels in working sites to a considerable extent. Methods: The present work focuses upon the analysis of human factors such as unsafe acts, preconditions for unsafe acts, unsafe leadership, and organizational influences. A modified human factor analysis and classification system (HFACS) was adopted and an accident predictive fuzzy reasoning approach (FRA)-based system was developed to predict the likelihood of accidents for manganese mines in India, using analysis of factors such as age, experience of worker, shift of work, etc. Results: The outcome of the analysis indicated that skill-based errors are most critical and require immediate attention for mitigation. The FRA-based accident prediction system developed gives an outcome as an indicative risk score associated with the identified accident-prone situation, based upon which a suitable plan for mitigation can be developed. Conclusion: Unsafe acts of the worker are the most critical human factors identified to be controlled on priority basis. A significant association of factors (namely age, experience of the worker, and shift of work) with unsafe acts performed by the operator is identified based upon which the FRA-based accident prediction model is proposed.

• 한국BIM학회 논문집
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• 제1권1호
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• pp.6-12
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• 2011

시설물 전생애주기에 걸쳐 정보가 공유되고 피드백 될 수 있는 BIM(Building Information Modeling) 기술의 등장은 유지보수 관리자들에 게 가장 필요한 유지관리점검 도구의 의미를 지님과 동시에, 정보모델을 기반으로 주요 기술영역 및 사업주체간 원활한 의사소통이 가능해지도록 한다. 효율적인 지하철 터널의 유지관리를 위해서는 체계적으로 조직된 데이터가 필수적이다. 이 논문에서는 건설정보분류체계에 기반하고 유지관리 업무의 점검 단위를 고려한 분류체계를 개발하였다. 이를 통해 기존의 유지관리 프로세서에 정보모델링 프로세서를 도입하여 유지관리 작업의 흐름을 최적화하고 표준화하는 방안을 제안하였다. 또한 기존 유지관리 업무 프로세서의 불필요한 절차 및 시간을 효율적으로 절감하여 시설물의 총 생애주기비용을 절감하고 객체의 수선교체시 소요되는 시간을 절감하였다. 게다가 터널정보 모델링 프로세서 모델을 유지관리 정보의 이력관리에 도입하여 기존 정보관리보다 체계적인 관리가 가능하도록 하였다.

• 한국해양공학회지
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• 제14권3호
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• pp.100-105
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• 2000

Port State Control (PSC) is the inspection of foreign ships in national ports for the purpose of verifying that the condition of the ships and its equipments comply with the requirement of international conventions and the ship is manned and operated in compliance with applicable international laws. On the other hand, check items in PSC are nearly similar to periodical survey of Classification Societies, because they have the same background regarding safety and maritime pollution prevention. The purpose of this study is to develope computer-aided information system for ship inspection item which is useful for effective implementation of Port State Control. For this work, the status of PSC is reviewed, and the related scheme of ship survey system in Classification Societies is investigated. On these bases, a computer software integrated database system and object-oriented technique is developed. The developed system is expected helpful to establish and maintain an effective system of Port State Control.

• ETRI Journal
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• 제43권1호
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• pp.82-94
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• 2021

In this work, six voiced/unvoiced speech classifiers based on the autocorrelation function (ACF), average magnitude difference function (AMDF), cepstrum, weighted ACF (WACF), zero crossing rate and energy of the signal (ZCR-E), and neural networks (NNs) have been simulated and implemented in real time using the TMS320C6713 DSP starter kit. These speech classifiers have been integrated into a linear-predictive-coding-based speech analysis-synthesis system and their performance has been compared in terms of the percentage of the voiced/unvoiced classification accuracy, speech quality, and computation time. The results of the percentage of the voiced/unvoiced classification accuracy and speech quality show that the NN-based speech classifier performs better than the ACF-, AMDF-, cepstrum-, WACF- and ZCR-E-based speech classifiers for both clean and noisy environments. The computation time results show that the AMDF-based speech classifier is computationally simple, and thus its computation time is less than that of other speech classifiers, while that of the NN-based speech classifier is greater compared with other classifiers.

• Safety and Health at Work
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• 제11권2호
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• pp.152-158
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• 2020

Background: The Globally Harmonized System of Classification and Labeling of Chemicals (GHS) was developed to enhance chemical classification and hazard communication systems worldwide. However, some of the elements such as building blocks and data sources have the potential to cause "disharmony" to the GHS, particularly in its classification results. It is known that some countries have developed their own lists of classified chemicals in accordance with the GHS to "standardize" the classification results within their respective countries. However, the lists of classified chemicals may not be consistent among these countries. Method: In this study, the lists of classified chemicals developed by the European Union, Japan, Malaysia, and New Zealand were selected for comparison of classification results for carcinogenicity, germ cell mutagenicity, and reproductive toxicity. Results: The findings show that only 54%, 66%, and 37% of the classification results for each Carcinogen, Mutagen and Reproductive toxicants hazard classes, respectively are the same among the selected countries. This indicates a "moderate" level of consistency among the classified chemicals lists. Conclusion: By using classification results for the carcinogenicity, germ cell mutagenicity, and reproductive toxicity hazard classes, this study demonstrates the "disharmony" in the classification results among the selected countries. We believe that the findings of this study deserve the attention of the relevant international bodies.

• 대한기계학회논문집
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• 제18권3호
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• pp.777-784
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• 1994

A design expert system for the ship structural design is developed to support inexperienced designers. To establish the knowledge-base, an expert system development shell, Nexpert, is used. Knowledge is extracted from the rules of a classification society of ships, and also from an existing ship structural program that is being used by ship designers. This knowledge is systematized using the objectoriented concept. The design support system is constructed by adding additional functions which are required for the conventional engineering design work. Added functions are; calculation of longitudinal strength, database of existing ship designs, graphical user interface, and visualization of design results. It is observed that visualizing the relationships among the rules, which are activated to draw a certain design decision, is helpful. The system can easily be updated according to changes of the rule books of ship classification societies.

• International Journal of Quality Innovation
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• 제3권2호
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• pp.113-131
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• 2002

The relationships among multi-dimensional data (such as medical examination data) with ambiguity and variation are difficult to explore. The traditional approach to building a data classification system requires the formulation of rules by which the input data can be analyzed. The formulation of such rules is very difficult with large sets of input data. This paper first describes two classification approaches using back-propagation (BP) neural network and Mahalanobis distance (MD) classifier, and then proposes two classification approaches for multi-dimensional feature selection. The first one proposed is a feature selection procedure from the trained back-propagation (BP) neural network. The basic idea of this procedure is to compare the multiplication weights between input and hidden layer and hidden and output layer. In order to simplify the structure, only the multiplication weights of large absolute values are used. The second approach is Mahalanobis-Taguchi system (MTS) originally suggested by Dr. Taguchi. The MTS performs Taguchi's fractional factorial design based on the Mahalanobis distance as a performance metric. We combine the automatic thresholding with MD: it can deal with a reduced model, which is the focus of this paper In this work, two case studies will be used as examples to compare and discuss the complete and reduced models employing BP neural network and MD classifier. The implementation results show that proposed approaches are effective and powerful for the classification.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2013년도 추계 학술논문 발표대회
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• pp.84-85
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• 2013

Integrating multi-trade works system helps to reduce to minimize the conflict of subcontract business and improve communication to increase productivity of construction. However it takes such a big risk if subcontract of integrating multi-trade works went bankrupt during the project so some of construction companies executed to only small project and it's not sufficient to adopt overall project. This paper suggested the improvement scheme of work classification integrating multi-trade works, which takes a consideration into work zoning in order to apply current work situation.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 추계 학술논문 발표대회
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• pp.205-206
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• 2019

National Competency Standard(NCS) is a national organization that organizes the knowledge, skills, and quality required to perform duties at industrial sites by industry sector and level. As NCS was developed and adopted as part of the government's implementation of capability-oriented society, the construction industry is also fully applying NCS to the curriculum and training. This study investigated and analyzed the problems of NCS development in construction work field through prior research analysis and experts interview and derived problems such as discrepancies in classification system, lack of connectivity with curriculum, and lack of effectiveness in revising NCS in construction work field. Further research is thought to be necessary for the establishment of the development system reflecting the construction characteristics in the future and for the presentation of practical improvement directions.