• Title/Summary/Keyword: 기술평가등급

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화재모델링의 PIRT 적용성 검토

  • Ji, Mun-Hak;Kim, Yun-Jung;Kim, Hyeong-Taek
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2013.04a
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    • pp.42-43
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    • 2013
  • 원전 방화지역의 화재리스크는 존모델 또는 필드모델을 사용하지만 화재 시나리오 또는 현상의 고찰 없이 사용되어온 측면이 있다. 한편 PIRT 기법은 전산코드의 적합성을 평가하고 최신기술과 입력자료의 타당성을 분석하여 우선순위 등급을 선정한다. 따라서 PIRT 기법을 화재모델링 분석에 적용할 경우 화재모델링 분석방법의 개선과 결과 값의 신뢰성을 높일 수 있는 기술로 활용할 수 있다.

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An Exploratory Study on the Strategic Responses to ESG Evaluation of SMEs (중소기업의 ESG평가에 대한 전략적 대응방안 탐색적 연구)

  • Park, Yoon Su
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.1
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    • pp.47-65
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    • 2023
  • As stakeholder demands and sustainable finance grow, ESG management and ESG evaluation are becoming important. SMEs should also prepare for the trends of ESG rating practices that affects supply chain management and financial transactions. However, SMEs have no choice but to focus on survival first, so there are restrictions on putting into ESG management. In addition, there is a lack of research on the legitimacy of ESG management by SMEs, and volatility in ESG evaluation systems and rating grades is also increasing. Accordingly, it is necessary to review ESG evaluation trends and practical guidelines along with the review of previous studies. As a result of the exploratory study, SMEs need to implement ESG management and make efforts to specialize in ESG related new businesses under conditions in which their survival base is guaranteed in terms of implementation strategies. In addition, it is necessary to focus on the strategic use of various evaluation results along with accumulating information favorable for ESG evaluation through organizational learning and software management. The implications of this study are that various studies such as the classification criteria for SMEs and the relationship between ESG evaluation grades and long-term survival rates are needed in ESG evaluation of SMEs. At the government policy level, it is time to consider the ESG evaluation system exclusively for SMEs so that ESG management can be implemented and ESG evaluation at different levels by industry and size.

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Development of Noise and AI-based Pavement Condition Rating Evaluation System (소음도·인공지능 기반 포장상태등급 평가시스템 개발)

  • Han, Dae-Seok;Kim, Young-Rok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.1-8
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    • 2021
  • This study developed low-cost and high-efficiency pavement condition monitoring technology to produce the key information required for pavement management. A noise and artificial intelligence-based monitoring system was devised to compensate for the shortcomings of existing high-end equipment that relies on visual information and high-end sensors. From idea establishment to system development, functional definition, information flow, architecture design, and finally, on-site field evaluations were carried out. As a result, confidence in the high level of artificial intelligence evaluation was secured. In addition, hardware and software elements and well-organized guidelines on system utilization were developed. The on-site evaluation process confirmed that non-experts could easily and quickly investigate and visualized the data. The evaluation results could support the management works of road managers. Furthermore, it could improve the completeness of the technologies, such as prior discriminating techniques for external conditions that are not considered in AI learning, system simplification, and variable speed response techniques. This paper presents a new paradigm for pavement monitoring technology that has lasted since the 1960s.

Chaebolgroups Propping: Evidence from the Stock-Price Effects by Changing of Corporate Bond Rating (재벌기업집단의 propping 효과 -기업 신용평가등급 변경-)

  • Oh, Hyun-Tak
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.5
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    • pp.2108-2114
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    • 2011
  • I examine propping within chaebolgroups, using changes of bond rating events made by corporate credit evaluation institutions. Much studies related to the internal capital market and tunneling have enhanced our understanding of the important function of chaebolgroups in emerging market, but relatively little is known about propping within affiliated firms. In a common sense, propping implies capital reallocation within affiliated firms to save a financially troubled affiliate. In event study on announcement the changes of corporate bond rating, I found most positive numbers in chaebolgroup's CAR. Particularly when lower change than higher change, decrease ratio of CAR is higher positively in chaebolgroups, which relatively shows that there is more propping effects in chaebolgroups than non-chaebolgroups. In multi-regression analysis, after strengthen restriction of internal mutual investment, propping effects are decreased positively in chaebolgroups than non-chaebolgroups when credit rating adjust lower, which implies there was more propping in chaebolgroups.

자율운항선박 사이버안전체계 구축방안

  • 임정규;최상훈;박개명
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.350-352
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    • 2022
  • 자율운항선박을 IMO 자율화등급 3단계 이상으로 운용하기 위해서는 내·외부 통신시스템의 사이버보안뿐만 아니라 실시간으로 데이터를 교환하는 데이터 및 시스템 사이버안전에 대한 고려가 필수적으로 요구된다. 본 연구에서는 자율운항선박 사이버안전체계 구축방안에 대해서 살펴본다. 자율운항선박 사이버안전체계 구축을 위해서는 선박 내 사이버위협을 실시간으로 탐지하고 영향을 모니터링하는 통합 보안 시스템 구축이 필요하며, 선박 사이버안전 설계 타당성을 검증하는 사이버리스크평가 기술, 사이버안전체계를 검증하기 위한 CVE(Common Vulnerabilities Enumeration)기반 취약성 진단 및 침투테스트 기술, V-Model을 활용한 통합 소프트웨어 품질인증 기술, ISO 25024 기반 데이터 무결성 검증 기술 적용이 필요하다.

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Bridge Scour Prioritization and Management System (I) - System Development - (교량세굴 위험도 결정 및 유지관리 시스템 개발(I) - 시스템 개발 -)

  • Kwak, Kiseok;Park, Jae Hyun;Chung, Moon Kyung;Woo, Hyo Seop
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.2B
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    • pp.187-195
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    • 2006
  • A bridge scour management system is developed to evaluate the vulnerability of bridge piers to scour and to help establish effective disaster measures, taking into account the locality and scour characteristics in Korea. This system is programmed using the techniques of the geographical information system(GIS) for the storage, retrieval, and display of information regarding to bridge scour. The system functions are basically divided into two parts; prioritization and maintenance. Bridges are initially screened and prioritized for bridge scour inspection and evaluation using the basic information which is obtained from the office review. The bridge scour evaluation including site investigation is performed and the vulnerability of bridge piers is categorized into six groups taking into account the local scour depth, foundation bearing capacity, foundation type, foundation depth, and present scour condition. The system tabulates and plots all the data and the results.

Improved Model for Index of Construction Engineer's Competency Evaluation System in Domestic Construction Management (국내 건설사업관리 기술인력 역량평가 개선모델(I2CEC))

  • Kang, Seongmi;Cha, Minsu;Lee, Woojae;Ji, Woojong;Cho, Hunhee;Yoo, Wisung
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.2
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    • pp.47-58
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    • 2020
  • The ICEC (Index of Construction Engineer's Competency) quantifies the competence of construction engineers using such parameters as experience, education, and qualifications and assigns four technical grades (expert, advanced, intermediate, and beginners) to construction engineers according to their scores for the efficient management and loading of technical personnel. However, as of 2020, the seventh year since its implementation, ICEC has shown many problems in its application, unlike its intended purpose. So institutional supplementation is required to provide improvement measures that can cope with the changing labor market environment and complement the current ICEC. Therefore, this study examined the current status of the career management system after the introduction of the ICEC, suggested a career index proportional to the competence of construction engineers from the beginner to the expert level, and developed an effective capability evaluation model I2CEC. The improved model presented in this study provides a means to comprehensively judge the performance, experience, and the professional work abilities of construction management engineers. Furthermore, the results of this study are expected to contribute to the development of efficient manpower and career management systems for enhancing the competitiveness of the domestic construction industry.

A Study of Test Method Improvement for Master Craftsman (모의평가를 통한 기능장 검정방법 개선연구)

  • Kang, C.S.;Beak, J.G.;Kang, J.E.;Park, J.H.
    • Proceedings of the KAIS Fall Conference
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    • 2012.05a
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    • pp.145-148
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    • 2012
  • 본 논문에서는 기능장 등급의 자격검정시 산업현장의 직무수행 능력을 평가하기 적합한 검정방법을 마련하는데 목적으로 대표적인 4개 종목을 선정하여 기능장 검정방법들로 모의평가하여 검정방법 개선 방안을 제시하였다. 그 결과 2차 실기시험방법과 3차 면접으로 하는 1안을 단일안으로 선정하였고, 이에 따른 영향성을 분석하여 그 결과를 제시하였다. 본 연구결과를 토대로 면접을 추가하여 3차 면접의 단일안의 결과를 얻었지만 사회적인 기능장의 사회적 법적 위상 제고는 반듯이 고려해야 할 것이다.

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퍼지이론을 이용한 위험절개면 평가법 및 대척공법 결정기법 개발 연구

  • Baek, Yong;Koo, Ho-Bon;Jang, Hyun-Sik
    • Proceedings of the Korean Society for Rock Mechanics Conference
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    • 2001.10a
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    • pp.83-90
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    • 2001
  • 절개면의 안정도 평가와 더불어 낙석으로 인한 안전사고를 방지하기 위한 적절한 투자와 대책 마련은 도로의 신설과 유지 차원에서 실시되어야 한다. 절개면의 안정도를 정량적으로 파악하여 위험등급을 분류하는 것은 현실적으로 많은 어려움이 뒤따른다. 이는 절개면 안정도 평가시 조사인자의 선정에서 전문기술자의 주관적인 판단 차이로 인하여 발생되는 경우가 적지 않다. 본 연구에서는 절개면의 안정도 평가법 개발을 위하여 절개면의 조사인자를 설정하고 설정된 인자를 5점 척도법을 이용한 퍼지 이론으로 안정도를 평가하는 기법을 개발하였다. 또한, 정량화 값만으로 평가된 절개면 안정도에 따른 대책공법의 설정은 현장성과 적용성에서 문제가 발생할 가능성이 많다. 본 연구에서는 현장의 여건을 최대한으로 고려하여 도로 관리자뿐만 아니라 지반 전문가가 대책공법을 선정할 수 있는 기법을 개발하였다. 개발된 평가법과 시스템은 효율적인 정보관리화가 이루어지도록 전산시스템화 되어 있으며 도로절개면 유지관리시스템에 병합하여 운영하도록 되어 있다.

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A Study on Predicting Credit Ratings of Korean Companies using TabNet

  • Hyeokjin Choi;Gyeongho Jung;Hyunchul Ahn
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.5
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    • pp.11-20
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    • 2024
  • This study presents TabNet, a novel deep learning method, to enhance corporate credit rating accuracy amidst growing financial market uncertainties due to technological advancements. By analyzing data from major Korean stock markets, the research constructs a credit rating prediction model using TabNet. Comparing it with traditional machine learning, TabNet proves superior, achieving a Precision of 0.884 and an F1 score of 0.895. It notably reduces misclassification of high-risk companies as low-risk, emphasizing its potential as a vital tool for financial institutions in credit risk management and decision-making.