• KEPCO Journal on Electric Power and Energy
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• 제8권2호
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• pp.137-141
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• 2022

To inspect the power facility faults using artificial intelligence, it need that improve the accuracy of the diagnostic model are required. Data augmentation skill using generative adversarial network (GAN) is one of the best ways to improve deep learning performance. GAN model can create realistic-looking fake images using two competitive learning networks such as discriminator and generator. In this study, we intend to verify the effectiveness of virtual data generation technology by including the fake image of power facility generated through GAN in the deep learning training set. The GAN-based fake image was created for damage of LP insulator, and ResNet based normal and defect classification model was developed to verify the effect. Through this, we analyzed the model accuracy according to the ratio of normal and defective training data.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.717-730
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• 2019

The era of digital transformation (or the fourth industrial revolution) has been triggered by the rapid development of software (SW) technologies. In this era, several studies suspected rapid changes in job structures occurring around the world. Thus, there is a growing need for acquiring the skill sets required for the future. However, there are no specific studies on how existing jobs are changing. To cope with this ambiguity of job changes, this paper aims to investigate how the current job structure is changing in response to digital transformation. To identify the dynamic nature of job change over time, we conducted an analysis based on job posting data. As a result, nine job occupations and fifteen jobs were found.

• 산업경영시스템학회지
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• 제17권29호
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• pp.63-78
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• 1994

Today, the problem of interrational competition has been strongly appeared and as the deflation is deep occasionally, it is sure that granting autonomous motivation of businessman or importance of self development is proposed especially. Then, which subject is included in granting autonomous motivation as that\ulcorner We must study about that subject first. First, we should study about essence of granting autonomous motivation. Granting autonomous motivation is the course of accompli¬shment of ideal human individually. Secondly, we will divide that into goal, desire and positive attitude subjectly and will study about those respectively. Contents of this theory are as below. 1. Proposal of problem 2. Basic structure of granting autonomous motivation and ability 2-1 Consideration of granting autonomous motivation 2-2 Basic structure of ability 3. The method of granting autonomous motivation 3-1 Simulation of granting autonomous motivation 3-2 Establishment of subject on granting autonomous motivation 4. Granting autonomous motivation by utilization of opportunity 4-1 Utilization of opportunity 4-2 Self-development by reading 4-3 Self development by writing 4-4 Self-development by discussion 4-5 Self development by control of health 4-6 Self-development by making the time 5. Conclusion This theory will be developed by classification as above. Reflecting many times and experiencing a skill for himself, he should teach his men the skill. There are some men not to be able to talk with, but a businessman should make his surroundings cheerful with granting autonomous motivation. If he understands the men of his surroundings with his positive attitude, all tasks of him will be achieved. Formation of question consciousness that he can study always, is needed on which is the important task in himself.

• 한국콘텐츠학회논문지
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• 제8권8호
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• pp.235-243
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• 2008

본 연구에서는 신한승이 택견을 국가 무형문화재로 지정하기 위하여 어떻게 체계화하고 구성하였는지를 살펴보는데 초점을 맞추었고, 다음과 같은 결론과 의의를 찾을 수 있었다. 첫째, 근대 택견의 전수자로 유일한 송덕기 택견의 기술 구성은 일정한 체계가 없는 낱기술 중심의 놀이 형태로 전래 되었으나, 신한승에 의하여 체계적인 구성을 가진 무예로 발전하게 되고, 급기야 무형문화재로 인정받게 되는 쾌거를 이루었다. 둘째, 신한승은 낱기술로 전래되어 오던 택견을 체계화 하면서 유도, 검도, 합기도, 태권도, 가라테의 수련체계와 기술을 일부 차용하여 근대화 시켰다. 이 과정에서 송덕기 택견이 원형대로 전수되지 않고 변형되었다는 비판이 제기되고 있는 실정이다. 셋째, 신한승은 정통 택견에는 없던 급수 구분제도와 실기심사, 태권도의 품새에 해당하는 본대뵈기 12마당 등을 만들고, 스포츠화를 추구하여 현대적인 학습체계와 대중화에 기여하였다. 본 연구를 통해 택견의 원래 형태와 기술변천 및 구성에 대한 시대적 환경적 윤관을 재조명 할 수 있었으며, 전통화 과정에서 혼재되고 있는 각종 택견 단체들의 논쟁을 이해하는 중요한 참고 자료를 제공할 수 있었다.

• 한국항해항만학회지
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• 제43권3호
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• pp.160-165
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• 2019

선원의 행동은 해양사고에 있어서 주요한 원인이다. 본 연구에서는 은닉 마르코프 모델(Hidden Markov Model)에 기반하여 선원의 행동을 모델링하였다. 그런 후, 모델에서 추정한 행동의 경로분석을 통하여 어떠한 상황과 절차 그리고 오류에 의해서 해양사고가 발생되는지를 해석하였다. 모델 구현을 위하여, 선원의 행동을 해양안전심판원에서 간행된 재결 요약서에서 관측하였고, 관측한 결과는 SRKBB(Skill-, Rule-, and Knowledge-Based Behavior)를 기반으로 한 행동분류 프레임워크를 이용하여 HMM 학습에 적합한 행동 데이터로 변환하였다. 선박유형별 선원의 행동을 모델링한 결과, 선박 유형별로 차별성이 있음을 확인하였고, 선원이 우선적으로 행한 행동경로의 식별이 가능하였다. 연구 결과, 본 연구에서 제안한 모델링 기법은 선원의 행동경로 예측에 적용 가능할 뿐만 아니라 해양사고 예방에 필요한 선원 행동 보정을 위한 우선순위 결정에 기여할 수 있을 것으로 기대된다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2002년도 학술발표회 논문집(I)
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• pp.43-50
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• 2002

Accurate quantitative forecasting of rainfall for basins with a short response time is essential to predict streamflow and flash floods. Previously, neural networks were used to develop a Quantitative Precipitation Forecasting (QPF) model that highly improved forecasting skill at specific locations in Pennsylvania, using both Numerical Weather Prediction (NWP) output and rainfall and radiosonde data. The objective of this study was to improve an existing artificial neural network model and incorporate the evolving structure and frequency of intense weather systems in the mid-Atlantic region of the United States for improved flood forecasting. Besides using radiosonde and rainfall data, the model also used the satellite-derived characteristics of storm systems such as tropical cyclones, mesoscale convective complex systems and convective cloud clusters as input. The convective classification and tracking system (CCATS) was used to identify and quantify storm properties such as life time, area, eccentricity, and track. As in standard expert prediction systems, the fundamental structure of the neural network model was learned from the hydroclimatology of the relationships between weather system, rainfall production and streamflow response in the study area. The new Quantitative Flood Forecasting (QFF) model was applied to predict streamflow peaks with lead-times of 18 and 24 hours over a five year period in 4 watersheds on the leeward side of the Appalachian mountains in the mid-Atlantic region. Threat scores consistently above .6 and close to 0.8 ∼ 0.9 were obtained fur 18 hour lead-time forecasts, and skill scores of at least 4％ and up to 6％ were attained for the 24 hour lead-time forecasts. This work demonstrates that multisensor data cast into an expert information system such as neural networks, if built upon scientific understanding of regional hydrometeorology, can lead to significant gains in the forecast skill of extreme rainfall and associated floods. In particular, this study validates our hypothesis that accurate and extended flood forecast lead-times can be attained by taking into consideration the synoptic evolution of atmospheric conditions extracted from the analysis of large-area remotely sensed imagery While physically-based numerical weather prediction and river routing models cannot accurately depict complex natural non-linear processes, and thus have difficulty in simulating extreme events such as heavy rainfall and floods, data-driven approaches should be viewed as a strong alternative in operational hydrology. This is especially more pertinent at a time when the diversity of sensors in satellites and ground-based operational weather monitoring systems provide large volumes of data on a real-time basis.

• 수산해양교육연구
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• 제21권2호
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• pp.237-246
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• 2009

수산 운 전문계열 교과의 학교해양교육 목표영역과 내용영역의 36책 중 해양관련 내용이 포함되어 있는 32책을 조사하였다. 해양관련 내용이 가장 많이 포함된 교과는 수산일반이 320페이지였고, 가장 적게 포함된 교과는 선박전기 전자와 해양구조물 설계 시공으로 12페이지였다. 교육목표에 있어 정보 및 지식(Knowledge, K), 기능(Skill, S), 가치 및 태도(Attitude, A),행동 및 참여(Participation, P)로 4개의 영역으로 구분하여 분석하면 정보 및 지식(Knowledge, K)영역 971개, 기능(Skill, S)영역 710개, 가치 및 태도 (Attitude, A)영역 5개, 행동 및 참여(Participation, P) 영역 8개로써 정보 및 지식(Knowledge, K)영역에 관한 내용이 가장 많았다. 가치 및 태도(Attitude, A) 영역에 관한 내용은 가장 적었다. 교육내용 영역은 해양과 인간 및 해양과 생태, 해양 인공환경과 시설, 해양자원, 해양오염, 해양보전과 대책, 해양보전의 윤리 등 6개의 영역으로 구분하여 분석하면 해양과 인간 및 해양과 생태(I)영역 744개, 해양인공 환경과 시설(II)영역 461개, 해양자원(III)영역 290개, 해양오염(IV)영역 76개, 해양보전과 대책(V)영역 123개로써 해양과 인간 및 해양과 생태(I)영역의 내용이 가장 많았고, 해양보전의 윤리(VI)영역의 내용이 포함된 교과는 한 책도 없었다. 수산 해운 전문계열 교과 내 해양관련 기타 구분에서는 수산 해운 교과서 내에 해양내용과 관련이 있는 삽화, 만화, 지도, 도표들을 대상으로 해양교육 내용영역에 맞추어 정리하였는데 사진이 2,225개, 삽화가 1,827개, 도표가 611개, 지도 27개, 만화 6개로써 사진과 삽화에 비해 지도와 만화의 수가 매우 적었다. 특히 냉동일반은 삽화 12개와 사진 2개, 냉동설비 설계는 삽화 5개와 사진 13개, 해양구조물설계 시공은 삽화 2개와 사진 8개, 선박전기 전자는 삽화 5개, 수산가공기계는 삽화 29개와 사진10개, 수산 해운 정보처리는 삽화 36개와 사진 1개로 다른 교과에 비교해 적었다.

• 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.

• 한국게임학회 논문지
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• 제16권6호
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• pp.163-172
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• 2016

본 연구에서는 모바일 게임의 자동플레이 기능을 사용하는 사용자의 태도 분석을 통해 유희적 감성의 변화를 확인하고자 한다. 분석을 위해 주관성 연구에 적합한 Q 방법론을 사용하였고, 분석에 근거하여 두 가지의 태도별 유형 그룹을 분류하였다. 편의 기능 의존비율이 높은 유형의 경우 수집과 성장을 통한 유희를 위해 자동플레이를 적극적으로 활용하고 게임 관리자와 같은 역할을 선호한다. 반대 유형은 게임 내 문제를 해결하는 과정의 경험과 이를 반복하여 얻는 능숙한 조작감을 유희로 인식하고 자신을 게임 속 주체와 동일화하는 경향이 있다. 그리고 두 유형 모두 모바일 게임에 한하여 자동플레이(auto-play) 기능 활용에 긍정적이었다. 이는 모바일 게임 사용자의 유희적 감성을 분석하는 사용성 평가로 이어져 게임 제작에 중요 데이터로 활용될 것으로 기대한다.

• 한국초등과학교육학회지:초등과학교육
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• 제27권1호
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• pp.60-74
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• 2008

The purpose of this study was to examine the effects of a brain-based science teaching and learning model on the science related attitudes, scientific inquiry skills and science knowledge of the 2nd graders in Intelligent Life course. For this study, 117 elementary students from four classes of the 2nd grade in Seoul were selected. In the comparison group, traditional instruction was implemented and in the experimental group, instruction according to brain-based science teaching and learning model was implemented for four weeks. The results of this study were as follows : There were little differences between the comparison and experimental groups in terms of the science related attitudes except for the sub-domains of interest and curiosity. And brain-based science teaching and learning model programs improved a few scientific inquiry skills, especially observation and classification. In addition, the experimental groups showed a positive effect on science knowledge. In conclusion, brain-based science teaching and learning model programs were more effective in improvement of the science related attitudes, scientific inquiry skills and science knowledge of elementary students.