• Title/Summary/Keyword: Assessment method

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A Study on tne Necessity of Using ESG to Prevent Accidents in the Chemical Industry (화학산업 사고 예방을 위한 ESG 활용 필요성 연구)

  • Cheolhee Yoon;Leesu Kim;Seungho Jung;Keun-won Lee
    • Journal of the Society of Disaster Information
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    • v.19 no.4
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    • pp.826-833
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    • 2023
  • Purpose: We suggest the need to utilize ESG in the safety field to prevent serious industrial accidents. Method: The Serious Accident Punishment Act, a strong serious accident prevention system, was reviewed through a review of previous research. And through comparative analysis of serious accident data from the United States and Korea, the main causes of accidents in the domestic chemical industry were derived. Result: It was determined that there was a need to induce voluntary safety management by companies through ESG management along with the Serious Accident Punishment Act, which aims to prevent corporate accidents. Through statistical analysis of accident data, it was confirmed that the scale of damage and number of deaths in domestic accidents was greater than in the United States. The reason was interpreted to be that there are many accidents caused by human causes in the country. Conclusion: In order to compensate for the lack of voluntariness in corporate safety management as well as the Serious Accident Punishment Act and encourage active safety management, the proportion of 'ESG safety evaluation' must be expanded. By using ESG as an indirect social sanction, we can expect companies to voluntarily and actively manage safety and expand safety investments in the safety field.

Reviewing the Operation of the Navy Safety Management System and Its Direction (해군 안전관리체계 운영에 대한 검토 및 발전 방향 고찰)

  • Jeongwoo Han;Kijae Kim;Wonyoung Lee;Kyoshik Park
    • Journal of the Society of Disaster Information
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    • v.19 no.4
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    • pp.859-868
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    • 2023
  • Purpose: In order to enhance safety, the Korea Navy is making efforts to introduce a safety and health management system and to develop a risk assessment system, while safety accidents keeps occurring. A development plan was proposed through an inspection of the Safety Management System(SMS). Method: To diagnose the Korea Navy's safety management system, changes in the safety environment, documentation system, and safety and health management system operation were reviewed, points to be improved were found, and improvement directions were derived. Result: There is a need for an SMS standard that can present the Korea Navy's safety policy and safety management direction, and a safety program that provides guidelines for implementing it in a standardized manner. To this end, we were able to confirm the feasibility of linking the requirements of the US Navy's SMS and the international standard ISO 45001 standard together with the Korea Navy's safety management system. Conclusion: The Korea Navy's safety management system needs to clearly present safety policies and standards, and have public confidence and effectiveness in safety work through a standard program that can implement them, and for this, the development of a Navy SMS is necessary.

Methodology for Developing a Predictive Model for Highway Traffic Information Using LSTM (LSTM을 활용한 고속도로 교통정보 예측 모델 개발 방법론)

  • Yoseph Lee;Hyoung-suk Jin;Yejin Kim;Sung-ho Park;Ilsoo Yun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.5
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    • pp.1-18
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    • 2023
  • With the recent developments in big data and deep learning, a variety of traffic information is collected widely and used for traffic operations. In particular, long short-term memory (LSTM) is used in the field of traffic information prediction with time series characteristics. Since trends, seasons, and cycles differ due to the nature of time series data input for an LSTM, a trial-and-error method based on characteristics of the data is essential for prediction models based on time series data in order to find hyperparameters. If a methodology is established to find suitable hyperparameters, it is possible to reduce the time spent in constructing high-accuracy models. Therefore, in this study, a traffic information prediction model is developed based on highway vehicle detection system (VDS) data and LSTM, and an impact assessment is conducted through changes in the LSTM evaluation indicators for each hyperparameter. In addition, a methodology for finding hyperparameters suitable for predicting highway traffic information in the transportation field is presented.

Structural Performance Evaluation of Anchors for Power Equipment Electrical Cabinets Considering On-Site Installation Conditions (현장 설치 조건을 고려한 발전설비 전기 캐비닛 정착부 앵커의 구조성능 평가)

  • Lee, Sang-Moon;Jung, Woo-Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.6
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    • pp.709-719
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    • 2023
  • In general, most of the electrical equipment responsible for control within power plants is housed in self-standing cabinets. These cabinets are typically fixed to a slab using post-installed anchors. Although the fixation method of using post-installed anchors provides stability, there is a risk of conductor failure due to external forces, including moments. However, the performance assessment of current anchors is only evaluated through uniaxial material tests. Therefore, the primary purpose of this study is to compare the static performance of post-installed anchors, considering on-site installation conditions, with their performance in material tests and to analyze the behavioral characteristics of the anchors. While conducting experiments using actual cabinets would be ideal, practical and spatial constraints make this approach difficult. As an alternative, experiments were conducted using a test specimen consisting of a steel column and a support. As a result, the pull-out performance of anchors reflecting on-site installation conditions was measured to be about 10% higher than that observed in material tests. The trends in load reduction and the point of maximum performance for the anchors also differed. To verify the reliability of the experimental study, a 3D FEM analysis was performed, which will provide predictive information on the loads transferred to the post-installed anchors for structural performance evaluations of electrical cabinets using shaking table test in the future.

Economic Feasibility Analysis of Nationwide Expansion of Agro-meteorological Early Warning Service for Weather Risk Management in Korea (농업기상재해 조기경보서비스의 전국 확대에 따른 경제적 타당성 분석)

  • Sangtaek Seo;Yun Hee Jeong;Soo Jin Kim;Kyo-Moon Shim
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.3
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    • pp.236-244
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    • 2023
  • The purpose of this study was to examine the economic feasibility of providing services according to the nationwide expansion of early warning services. The net present value method, one of the cost-benefit analysis methods, was applied to the analysis. As a benefit item that constituted the net present value, the damage reduction amount using crop insurance data and the willingness to pay for the use of early warning services were used. The cost items included system construction and maintenance costs, and text transmission costs. As a result of the analysis, it was found that the nationwide expansion of early warning services had economic feasibility, and its economic effect varied depending on the level of text message use (10 % to 40 %, 10 %p interval) of participating farmers. In the future, the economic effect of early warning services is expected to increase further due to the increase in the number of farmers participating in early warning services and the increase in crop damage caused by climate change. It is necessary to further enhance the economic effect of early warning services by actively utilizing information delivery means through apps or the web as well as text messages.

Influence of Video Clip-based Pedagogical Reasoning Activity on Elementary Preservice Teachers' Science Lesson Planning (비디오 클립을 활용한 교육적 추론 활동이 초등 예비교사의 과학 수업 계획에 미치는 영향)

  • Song, Nayoon;Yoon, Hye-Gyoung
    • Journal of Korean Elementary Science Education
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    • v.43 no.1
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    • pp.170-184
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    • 2024
  • This study focused on the practical research needed to improve elementary school science lesson plans. Specifically, a video clip-based pedagogical reasoning activity that included elementary student misconceptions was presented and the influences of this activity on preservice teachers' science lesson planning were assessed. First, the eight preservice teacher participants were asked to write a lesson plan for a dissolution and solution unit, after which a first semi-structured interview was conducted. Then, the participants participated in a video clip-based pedagogical reasoning activity. Based on the activity results, the participants revised their previously planned lessons, and second semi-structured interviews were conducted. The data from the preservice teachers' lesson plans and interview transcripts were analyzed using a constant comparative method to investigate the lesson plan changes. It was found that after the video clip-based pedagogical reasoning activity, the preservice teacher tightened the activity or changed the material to understand the students' thinking processes. In addition, they supplemented their goals and assessment criteria to accommodate the diverse students' thinking. Some also specified motivational strategies that considered student interests, motivation, and possible misconceptions. However, some preservice teachers still set goals that did not sufficiently account for student misconceptions and some planned the student assessments based only on the learning goals rather than the students' thinking. The few preservice teachers were able to develop motivational strategies that considered interest, motivation, and misconceptions. The preservice teachers claimed that they had difficulty predicting the misconceptions and connecting these to the lesson content. Discussions were then held to assist the preservice teachers to consider possible student misconceptions when planning their lessons.

Analysis of Elementary Teachers' Views on Barriers in Implementing Inquiry-based Instructions (초등학교 과학 탐구 수업 실행의 저해 요인에 대한 교사들의 인식 분석)

  • Cho, Hyun-Jun;Han, In-Kyoung;Kim, Hyo-Nam;Yang, Il-Ho
    • Journal of The Korean Association For Science Education
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    • v.28 no.8
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    • pp.901-921
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    • 2008
  • The purpose of this study was to investigate elementary teachers' views on the barriers in implementing inquiry-based instruction in science education. For this, semi-structured in-depth interviews were performed with 22 elementary school teachers who have served for more than five years in the Gyeonggi province. The interview questions were developed through triangulation of Seidman's phase to achieve reliability in the interview data, then interview questions were modified and completed through an analytic induction method in pre-interviews. In-depth interviews were performed individually and all the interviews were recorded. The data of teachers' views on the barriers were categorized and analyzed into external and internal factors of teachers. The study found that the external factors referred by teachers included the following; the lack of a unit time, lack of materials and equipments, too many students in a class, problems in science curriculum management, difficulty in the assessment of students' inquiry activities, the students' learning, lack of opportunities for teaching inquiry activities, harmfulness of accidents, and so on. Internal factors included the following; lack of preparation for inquiry activities, lack of self-confidence, lack of patience, and so on. The various barriers presented and their causes were analyzed in detail, and possible efforts in activating inquiry activities in elementary science education were suggested.

Assessment of the impact of climate variability on runoff change of middle-sized watersheds in Korea using Budyko hypothesis-based equation (Budyko 가설 기반 기후 탄력성을 고려한 기후변동이 우리나라 중권역 유출량 변화에 미치는 영향 평가)

  • Oh, Mi Ju;Hong, Dahee;Lim, Kyung Jin;Kwon, Hyun-Han;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.57 no.4
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    • pp.237-248
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    • 2024
  • Watershed runoff that is an important component of the hydrological processes has been significantly altered by climate variability and human activities in many watersheds around the world. It is important to investigate the impacts of climate variability and human activities on watershed runoff change for water resource management. In this study, using watershed runoff data for 109 middle-sized watersheds in Korea, the impacts of climate variability and human activities on watershed runoff change were quantitatively evaluated. Using the Pittitt test, the analysis period was divided into two sub-periods, and the impacts of climate variability and human activities on the watershed runoff change were quantified using the Budyko hypothesis-based climate elasticity method. The overall results indicated that the relative contribution of climate variability and human activities to the watershed runoff change varied by middle-sized watersheds, and the dominant factors on the watershed runoff change were identified for each watershed among climate variability and human activities. The results of this study enable us to predict the watershed runoff change considering climate variability and watershed development plans, which provides useful information for establishing a water resource management plan to reduce the risk of hydrological disasters such as drought or flood.

Influence of Mixture Non-uniformity on Methane Explosion Characteristics in a Horizontal Duct (수평 배관의 메탄 폭발특성에 있어서 불균일성 혼합기의 영향)

  • Ou-Sup Han;Yi-Rac Choi;HyeongHk Kim;JinHo Lim
    • Korean Chemical Engineering Research
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    • v.62 no.1
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    • pp.27-35
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    • 2024
  • Fuel gases such as methane and propane are used in explosion hazardous area of domestic plants and can form non-uniform mixtures with the influence of process conditions due to leakage. The fire-explosion risk assessment using literature data measured under uniform mixtures, damage prediction can be obtained the different results from actual explosion accidents by gas leaks. An explosion characteristics such as explosion pressure and flame velocity of non-uniform gas mixtures with concentration change similar to that of facility leak were examined. The experiments were conducted in a closed 0.82 m long stainless steel duct with observation recorded by color high speed camera and piezo pressure sensor. Also we proposed the quantification method of non-uniform mixtures from a regression analysis model on the change of concentration difference with time in explosion duct. For the non-uniform condition of this study, the area of flame surface enlarged with increasing the concentration non-uniform in the flame propagation of methane and was similar to the wrinkled flame structure existing in a turbulent flame. The time to peak pressure of methane decreased as the non-uniform increased and the explosion pressure increased with increasing the non-uniform. The ranges of KG (Deflagration index) of methane with the concentration non-uniform were 1.30 to 1.58 [MPa·m/s] and the increase rate of KG was 17.7% in methane with changing from uniform to non-uniform.

An Exploratory Study on Organizational Smart Learning Success from an HRD Perspective (HRD 관점에서 기업의 스마트 러닝 성공을 위한 탐색적 연구)

  • Yeseul Oh;Jaeyoung An;Haejung Yun
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.219-235
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    • 2023
  • The advancement of digital technology and the impact of COVID-19 have brought about changes in corporate innovation and organizational culture, thereby highlighting the significance of Smart Learning in the field of HRD (Human Resource Development). This trend has led to an increased interest in personalized Smart Learning among employees due to the growth of hybrid work and the widespread adoption of smart work practices. This study aimed to illuminate the relative importance of the factors that constitute Smart Learning from the perspective of HRD practitioners. Through a review of prior literature, Smart Learning hierarchy and factors most fitting to the current context were identified, and their relative importance was determined using the AHP method. Consequently, in the first-tier factors, importance was confirmed in the order of 'Learning Activities', 'Teaching Activities', 'Learning Content', 'Assessment and Evaluations', and 'Learning Time and Space'. At the second-tier encompassing all factors, 'Pedagogical Strategy', 'Learning Results', 'Learning Tasks', 'Learning Goal', and 'Learning Support' emerged within the top five factors. These findings are significant in that they redefine the concept of smart learning and propose an academic framework for future research. Additionally, from a practical perspective, it is anticipated that this study will contribute valuable insights for HRD practitioners, aiding them in focusing on which factors to prioritize for enhancing and advancing Smart Learning initiatives.