• 산업경영시스템학회지
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• 제35권2호
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• pp.21-29
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• 2012

Person characteristics and the perception of organization climate affect on the performances associated with causes of job stress, and may induce various types of human errors. For incidence, a person's adaptation to organizational traits can influence on a person's performance with tasks assigned as well as job satisfaction, a change of occupation, etc. There are several evaluation methods such as an aptitude test to evaluate the suitability of department allocation. However, only person's traits such as an aptitude has been associated with department allocation and job assignment for the personnel management. This paper shows not only an evaluation result on the job-stress of the workers in nuclear power plants (NPPs), but also the relationships between the job-stress and the coincidences of group-personal, team-personal traits. Then, we systematically deduct a basic information on the factors to be considered to manage the organizational traits and job stress. We expect this result can contribute to enhance the organizational management against to the human errors as well as for the promotion of safety and efficiency of NPPs.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.61-62
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• 2006

A new neural network classifier is proposed for the automatic real-time surface inspection of high-speed cold steel strips having 11 different types of defects. 46 geometrical and gray-level features are extracted for the defect classification. 3241 samples of Posco's Kwangyang steel factory are used for training and testing the neural network classifier. The developed classifier produces plausible 15% error rate which is much better than 20-30% error rate of human vision inspection adopted in most of domestic steel factories.

• 한국정밀공학회지
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• 제24권4호
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• pp.76-83
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• 2007

A new neural network classifier is proposed for the automatic real-time surface inspection of high-speed cold steel strips having 11 different types of defects. 46 geometrical and gray-level features are extracted for the defect classification. 3241 samples of Posco's Kwangyang steel factory are used for training and testing the neural network classifier. The developed classifier produces plausible 15% error rate which is much better than 20-30% error rate of human vision inspection adopted in most of domestic steel factories.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.449-451
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• 2006

With the increasing danger of personal information being exposed, a technique to protect personal information by identifying a non-user in case it is exposed. A study to construct a neural network recognizer for developing a economical and effective user protecting system. For this, time variables regarding user typing patterns from a pattern extraction device. With the variations in the standard deviation for the collected time variables, non-user patterns were generated. The recognition performance increased with the increase in the standard deviation and a higher recognition was achieved at 2.5. Also, five types of training data were generated and the recognition performance was examined as a function of the number of non-user patterns. With the increase in non-suer patterns, the recognition error quantified in the root mean square error (RMSE) was reduced. The smallest RMSE was obtained at the type 5 and 90 non-user patterns. In overall, the type 3 model yielded the highest recognition accuracy Particularly, a perfect recognition of 100% was achieved at 45 non-user patterns.

• 산업공학
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• 제21권3호
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• pp.247-253
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• 2008

There are various types of unexpected troubles in service of a thermal power plant, which consists of many complicated high-tech mass equipments. The troubles are mostly caused by the manufacturing defects, the material deteriorations, the human errors, and others. Failures of its system due to the troubles, can bring on the extravagant economic loss and the qualitative degradation of electricity. Especially, it is most important to find a way to decrease human errors because it can result in not only the economic loss, but also morale declination of employees or the department related to the trouble. Therefore, we categorize previous troubles related to the human errors, and try to show the causations and the counter-measures based on the various categories such as maintenance, an operation, and system of the thermal power plants.

• 한국학교수학회논문집
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• 제12권4호
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• pp.545-562
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• 2009

미적분은 우리 생활의 여러 방면에 활용되고 있으며, 경제학이나 행정학 등 사회과학 분야에서도 기초를 이루고 있다는 점에서 이공계에서만 중요시하게 다루어지는 것에 대한 많은 논란이 있어 왔다. 다행히 2010년부터는 일반계 고등학교 2학년 수학과 교육과정에 미적분 단원이 도입된다고 한다. 처음 미적분을 접하게 되는 학생들은 먼저 미분학습에서 흥미를 잃는다거나 미분학습에 대한 불안과 기피현상을 겪지 않도록 해야 한다. 이에 대비하기 위해 본 연구는 학생들이 교과서에서 평소 접할 수 있는 일반화된 미분문제를 중심으로 예비검사를 실시하고 전문가의 검토와 예비검사를 바탕으로 선정된 최종 검사지를 투입하여 미분 문제해결 과정에서 나타나는 오류를 분석틀에 맞게 분류 분석함으로서 미분학습 지도방안에 대한 기초자료를 마련하고자 하였다.

• 품질경영학회지
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• 제24권1호
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• pp.10-19
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• 1996

In order to build a model to predict accidents in a complicated man-machine sytem, human errors and mechanical reliability can be viewed as the most important factors. Such factors are explicitly included in a generic model. Another point to keep in mind is that the model should be constructed so that the data in a type of accident can be utilized to predict other types of accidents. Based on such a generic prediction model, we analyze the effects of system reliability. When we improve the system reliability, in other words, when there are changes in model parameters, the predicted time to next accidents should be modified influencing the effects of system reliability improvements. We apply Bayesian approach and finds the formula to explain how a change on the machine reliability or human error probability influences the time to next accident.

• Journal of Multimedia Information System
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• 제8권2호
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• pp.111-120
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• 2021

As recent virtual reality technologies provide a more natural three-dimensional interactive environment, users naturally learn to explore space and interact with synthetic objects. The virtual reality researcher develops a technique that realizes realistic sensory feedback to get appropriate feedback to sense input behavior. Although much recent virtual reality research works extensively consider the human factor, it is not easy to adapt to all new virtual environment contents. Among many human factors, distance perception has been treated as very important in virtual environment interaction accuracy. We study the experiential virtual environment with the feature of the virtual object connected with the real object. We divide the three-dimensional interaction, in which distance perception and behavior have a significant influence, into two types (whole-body movement and direct manipulation) and analyze the real and virtual visual distance perception heterogeneity phenomenon. Also, we propose a statistical correction method that can reduce a near-body movement and manipulation error when changing the interaction location and report the experiment results proving its effectiveness.

• 대한인간공학회지
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• 제5권1호
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• pp.19-28
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• 1986

To study the body trunk form which is essential to clothing constructions, necessary body sizes were measured indirect1y from 216 unmarried women from 19 to 24 years old by a photographic network method. The results are obtained as follow; 1) In this study of body type measurements, the four factors of bust, abdomen, column and hip size have been divided into four-stage intervals and given the body type codes 1, 2, 3 and 4, with 1 designating the size difference of the factor with the minimum size difference of the factor with the maximum size difference from waist size. These body type codes can be easily, linguistically interpreted. In this study, among $4^4=256$ possible body types, 54 types appeared frequently. These 54 types are integrated into 6 groups of types by clustering analysis. Representative types of each group are types 3333 and 2333 in group 1, 2233, 1233 and 1332 in group 2, 2222, 1222 and 1223 in group 3, 2223 in group 4, 2323 and 2322 in group 5, and 3323, 3223 and 3322 in group 6. In the types of groups 1, 2, and 3, the change is mainly in bust size, and in the types of group 4. is single type. In the types of group 5 the change is mainly in hip size, and in the types by groups 6 the change is mainly in abdomen size and hip size. 2) The analysis by measuring the four elements of body trunk in reference to waist size is scientific and grading of similar styles is possible in clothing construction. 3) Assuming that the human body is oval, using the calculating method, the size of girth, which cannot be measured by the indirect measuring method, is obtained approximate to actual size, with an error of ${\pm}2.8cm$.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2021년도 제33회 한글 및 한국어 정보처리 학술대회
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• pp.144-151
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• 2021

딥러닝의 등장으로 자동 음성 인식 (Automatic Speech Recognition) 기술은 인간과 컴퓨터의 상호작용을 위한 가장 중요한 요소로 자리 잡았다. 그러나 아직까지 유사 발음 오류, 띄어쓰기 오류, 기호부착 오류 등과 같이 해결해야할 난제들이 많이 존재하며 오류 유형에 대한 명확한 기준 정립이 되고 있지 않은 실정이다. 이에 본 논문은 음성 인식 시스템의 오류 유형 분류 기준을 한국어에 특화되게 설계하였으며 이를 다양한 상용화 음성 인식 시스템을 바탕으로 질적 분석 및 오류 분류를 진행하였다. 실험의 경우 도메인과 어투에 따른 분석을 각각 진행하였으며 이를 통해 각 상용화 시스템별 강건한 부분과 약점인 부분을 파악할 수 있었다.