• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 1998년도 제10회 한글 및 한국어 정보처리 학술대회
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• pp.287-292
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• 1998

실용적인 격틀(Case frame) 정보를 말뭉치로부터 자동구축하기 위해서는 대량의 홀문장이 필요하다. 그리고 국어 문장 형식은 영어와 많은 차이점이 있다. 또한 기존의 격틀 구축 연구에서 전제했던 광범위한 학습 데이터와 언어학적 지식은 국어에 대해 현재 존재하지 않는다. 그러므로 본 연구는 그러한 문제점들을 밝히고 현실적인 접근 방법을 제시한다. 그리고 겹문장을 홑문장 형태의 문장들로 바꾸기 위한 알고리즘을 제시한다.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2002년도 추계학술발표대회
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• pp.59-64
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• 2002

Presently, digital information society that we live in is changing the world rapidly and it is making a human style of living more complicated into various ways. Also the change of human life style in general society has expedited the transition of the housing design. Therefore, this research will illustrate the future housing in Sweden to show more realistically the changeable houses in digital informational society

• Parasites, Hosts and Diseases
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• 제58권1호
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• pp.47-49
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• 2020

Balantidium coli human infection predominantly occurs in tropical and subtropical regions in the world. Human case is extremely rare in China. This report details a case of B. coli infection in a 68-year-old man in China, who presented with history of abdominal pain, tenesmus, diarrhea with blood and was diagnosed as B. coli-caused dysentery. Our case indicates possible occurrence of Balantidium coli-related disease in cooler climates. This case is presented not only because of its rarity but also for future references.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2003년도 춘계학술대회
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• pp.474-483
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• 2003

A number of studies for corporate bond rating classification problems have demonstrated that artificial intelligence approaches such as Case-based reasoning (CBR) can be alternative methodologies to statistical techniques. CBR is a problem solving technique in that the case specific knowledge of past experience is utilized to find a most similar solution to the new problems. To build a successful CBR system to deal with human information processing, the representation of knowledge of each attribute is an important key factor We propose a hybrid approach of using fuzzy sets that describe the approximate phenomena of the real world because it handles inexact knowledge represented by common linguistic terms in a similar way as human reasoning compared to the other existing techniques. Integration of fuzzy sets with CBR is important to develop effective methods for dealing with vague and incomplete knowledge to statistical represent using membership value of fuzzy sets in CBR.

• 정보학연구
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• 제10권2호
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• pp.11-27
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• 2007

This thesis is analysing localization of human resources recruitment in the overseas investment of the Korean firms. The main results of the analysis can be summarized as follows: first, Korean overseas local corporations have achieved localization for physical workers. But localization above middle manager level is very poor. Second, local corporations are managed by the employee from Korean parent company. Third, parent company mentioned language ability, work process ability of local business, responsibility, leadership as selection basis for the workers in overseas local corporations. Localization propel strategy of local corporation human resources recruiting : (1) human resources recruiting strategy is the strategy of outsider. simple global human resources recruiting strategy is the recruiting of person dispatched from headquarter rather than local human resources (2) human resources recruiting strategy is the strategy of multidomestication. multidomestication human resources recruiting strategy is the strategy to use in case of stabilization in local area.

• 한국가정과학회지
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• 제7권2호
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• pp.97-113
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• 2004

This study was to investigate the relationship between parent attachment, peer support and behavior problems of middle school students. The subjects were 591 male and female students in the first and third grade of the middle school and their mothers in Busan. The instruments used for this study were Inventory of Parent Attachment Scale, Peer Support Scale and Behavior Checklist for Adolescents. The results were as follows: 1. The first grade students had stronger attachment on father and mother than third grade. The third grade students had perceived peer support more than first grade. Female students had stronger attachment on mother and perceived peer support more than male students. And there was no significant sex difference in attachment on father. In the case of female students, internalizing and externalizing behavior problems increased grade. But, in the case of male students, there was no grade difference in internalizing and externalizing behavior problems. In the case of first grade students, there was no sex difference in internalizing behavior problems. In the case of first grade students, males had more externalizing behavior problems than females. But in the case of third grade students, females had more externalizing behavior problems than males. 2. As parent's education level was higher, students had stronger attachment on parents and perceived more peer support. As family income was higher, students had stronger attachment on father and perceived more peer support. 3. In case of female students, parent attachment and peer support were correlated negatively with internalizing and externalizing behavior problems. In case of male students, attachment on fathers and peer.

• 산업공학
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• 제3권1호
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• pp.13-20
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• 1990

The application of human-factor concept in developing a complex weapon system is important for system engineer to determine the system performance and reliability. This paper describes the evaluation procedure of human factors in the X-system wherein the evaluation result provides a better performance than the previous model in operatability and maintainability. The criteria used for the evaluation of a design adequacy of the X-system are based on the military human-factor standards.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2008년도 춘계학술대회
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• pp.93-100
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• 2008

In this paper, we propose the application of the Human Factors Analysis and Classification System(HFACS) to analyze an aircraft accident data. HFACS is a general human error framework originally developed and tested within the U.S military as a tool for investigating and analyzing the human causes of aviation accidents. It was examined that HFACS reliably accommodate all human causal factors associated with the commercial accidents. We found that the HFACS could be used as a reliable tool for investigating aircraft accidents including a single accident analysis.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2002년도 봄 학술발표회 논문집
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• pp.252-253
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• 2002

• Journal of Electrical Engineering and Technology
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• 제10권4호
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• pp.1910-1914
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• 2015

Human posture recognition is an attractive and challenging topic in computer vision due to its promising applications in the areas of personal health care, environmental awareness, human-computer-interaction and surveillance systems. Human posture recognition in video sequences consists of two stages: the first stage is training and evaluation and the second is deployment. In the first stage, the system is trained and evaluated using datasets of human postures to ‘teach’ the system to classify human postures for any future inputs. When the training and evaluation process is deemed satisfactory as measured by recognition rates, the trained system is then deployed to recognize human postures in any input video sequence. Different classifiers were used in the training such as Multilayer Perceptron Feedforward Neural networks, Self-Organizing Maps, Fuzzy C Means and K Means. Results show that supervised learning classifiers tend to perform better than unsupervised classifiers for the case of human posture recognition.