• 한국전자거래학회지
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• 제14권3호
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• pp.107-129
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• 2009

e-비즈니스를 이행하는 사람은 정보기술과 비즈니스 프로세스를 이해하여야 한다. 현행 정책과 시스템은 국내 e-비즈니스 인력양성을 위하여 새로운 변화가 이루어져야 한다. 새로운 차원에서 변화를 충족하기 위하여 현재의 인력양성에 대한 정의와 인력분류를 이행하였다. e-비즈니스 인력의 교육과정에 대한 역량 및 프로그램 개발은 신입사원, 전문가, 관리자, 경영자의 과정으로 분류하였다. 그리고 그 과정은 대학에서 전공과 기업에서 수행하는 업무와 기능에 따라 10가지 세부 직무를 구분하였다. 세부 직무에 필요한 역량을 ASK(Attitude, Skill, Knowledge)모델로 제시하여 프로그램 개발에 대한 초점을 맞추었다.

• 한국과학교육학회지
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• 제11권2호
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• pp.133-142
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• 1991

The purpose of this study is to develop a data base system for the information on research and development of science education. As the first step of this study and development, a classification system for the research and development materials was devised after discussing the process of science education and the research and development of science education. The classification system has nine main categories : 1. area, 2. subject, 3. behavior, 4. skill, 5. support, 6. type, 7. materials, 8. language, and 9. the others, each of which has one or two levels of subcategory. This classification system was revised and supplemented through the theoretical analysis by speci.diSts and the practical classification of master's theses and doctoral dissertations from the Department of Science Education, Seoul National University. But it still needs more revision and enlargement through the continuous application and analysis.

• 대한인간공학회지
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• 제36권3호
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• pp.197-211
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• 2017

Objective: We propose to apply color information to facilitate finding books in the library. Background: Currently, books are classified in the basis of a decimal classification system and a call number in the library. Users find a book using the call number. However, this classification system causes various difficulties. Method: In a process analysis and survey study, we identify what the real problem is and where the problem is occurred. To solve the real problems, we derived a new search method using color information. We conducted a comparative experiment with 48 participants to see whether the new method can show higher performance. Results: The new method using color information showed faster time and higher subjective rating scores than current call number method. Also, the new method showed faster time regardless of the skill level while the call number method showed time differences in terms of the skill level. Conclusion: The effectiveness of the proposed method was verified by experiments. Users will be able to find the desired book without difficulty. This method can improve the quality of service and satisfaction of library use. Application: Our book search method can be applied as a book search tool in a real public library. We hope that the method can provide higher satisfaction to users.

• 한국멀티미디어학회논문지
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• 제25권5호
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• pp.703-720
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• 2022

Based on the love styles theory used in psychology, this paper classifies users(Passionate Love, Game-playing Love, Friendship Love, Practical Love, Possessive Love, Altruistic Love) and investigates satisfaction with the motivation for using TikTok love videos(Entertainment, Social Relationship, Love skills-learning, Self-verification, Problem-solving) according to the theory of use and satisfaction. First, 414 users were selected to conduct TikTok surveys to collect data. Then, through the analysis of the research results, among the six love types, game-playing type and possessive type have a positive (+) impact on entertainment motivation and love skill-learning motivation. Game-playing type also have a positive (+) impact on social relationship motivation and self-verification motivation. In addition, altruistic type and possessive type are also factors to strengthen the motivation of self-verification. The altruistic type, possessive type and practical type will improve the problem-solving motivation. Finally, through hierarchial multiple regression analysis, it is confirmed that game-playing love type, entertainment motivation, love skill-learning motivation and self-verification motivation can improve user satisfaction. The above results enrich the research of user classification as well as providing inspiration for improving the quality and communication efficiency of TikTok's video and enhancing user experience.

• 한국컴퓨터정보학회논문지
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• 제14권8호
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• pp.73-80
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• 2009

산업별 필요인력의 수급 불균형과, 직업교육기관의 Skill Mismatch로 산업체가 요구하는 전문기술 인력 수급이 어려운 실정이다. 산업체는 학교졸업자를 현장에서 재교육하고, 산업특성에 맞는 기술을 습득하여야만 생산성을 향상 시킬 수 있다. 본 논문에서는 산업체가 요구하는 Demand Education을 수용하고, e-Business 분야에서 특성화 전문계고 Curriculum을 작성하는 연구이다. e-Business 산업분류 및 직종분류를 파악하고, e-Business 교육에 대해 산업체에서 요구하는 지식과 Skill 수준을 파악하고 그 수요를 조사하고 분석한다. 기반산업, 지원산업, 활용산업별로 조사된 e-Business Curriculum을 학습에 적용하고, 산업체의 Demand Education 계고 e-Business Curriculum의 기본 모델과 학과별 Curriculum을 제시하고, 산업체 요구의 e-Business 교육을 통한 생산성 향상을 통한 국가 발전에 기여하고자 한다.

• The Journal of the Acoustical Society of Korea
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• 제27권2E호
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• pp.57-63
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• 2008

Stethoscopic auscultation is still one of the primary tools for the diagnosis of heart diseases due to its easy accessibility and relatively low cost. It is, however, a difficult skill to acquire. Many research efforts have been done on the automatic classification of heart sound signals to support clinicians in heart sound diagnosis. Recently, hidden Markov models (HMMs) have been used quite successfully in the automatic classification of the heart sound signal. However, in the classification using HMMs, there are so many heart sound signal types that it is not reasonable to assign a new class to each of them. In this paper, rather than constructing an HMM for each signal type, we propose to build an HMM for a set of acoustically-similar signal types. To define the classes, we use the KL (Kullback-Leibler) distance between different signal types to determine if they should belong to the same class. From the classification experiments on the heart sound data consisting of 25 different types of signals, the proposed method proved to be quite efficient in determining the optimal set of classes. Also we found that the class determination approach produced better results than the heuristic class assignment method.

• The Journal of Korean Physical Therapy
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• 제24권6호
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• pp.423-427
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• 2012

Purpose: The cerebellum is a region of brain structure that plays an important role in calibrating two different information of neural signal from descending motor commands and from ascending sensory inputs. Damage of the cerebellum shows a variety of classic motor symptoms such as postural and locomotor dysfunctions. Therefore, we tried to investigate motor function and skill in stroke patients with cerebellar lesions in sub-acute stage, and compare with these functions of patients with non-cerebellar lesions. Methods: Total twelve stroke patients with cerebellar lesion and 130 stroke patients with non-cerebellar lesions were retrospectively recruited in this study. For evaluation of motor strength, Motricity index (MI) for upper and lower limbs was tested. For measurement of motor skill function, the modified Brunnstrom classification (MBC), Manual function test (MFT), functional ambulatory category (FAC), and Barthel index were adopted. Results: In comparison of motor strength and motor skill function between two groups, statistical differences between the two groups were significantly observed only in upper MI and FAC. Although no significant differences were found in other variables, stroke patients with cerebellar lesion had higher scores in lower and total MI, MBC, and MFT, whereas they had lower scores in FAC and Barthel index. Conclusion: Our results showed that stroke patients with cerebellar lesion had greater impact on movement functions related to hand motor and walking ability in activities of daily life, compared with patients with non-cerebellar lesion, in spite of similar degree of motor function and skill between the two different lesioned-groups.

• 대기
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• 제32권4호
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• pp.353-365
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• 2022

This paper evaluates precipitation forecast skill of Global/Regional Integrated Model system (GRIMs) over South Korea in a boreal winter from December 2013 to February 2014. Three types of precipitation are classified based on development mechanism: 1) convection type (C type), 2) low pressure type (L type), and 3) orographic type (O type), in which their frequencies are 44.4%, 25.0%, and 30.6%, respectively. It appears that the model significantly overestimates precipitation occurrence (0.1 mm d^-1) for all types of winter precipitation. Objective measured skill scores of GRIMs are comparably high for L type and O type. Except for precipitation occurrence, the model shows high predictability for L type precipitation with the most unbiased prediction. It is noted that Equitable Threat Score (ETS) is inappropriate for measuring rare events due to its high dependency on the sample size, as in the case of Critical Success Index as well. The Symmetric Extreme Dependency Score (SEDS) demonstrates less sensitivity on the number of samples. Thus, SEDS is used for the evaluation of prediction skill to supplement the limit of ETS. The evaluation via SEDS shows that the prediction skill score for L type is the highest in the range of 5.0, 10.0 mm d^-1 and the score for O type is the highest in the range of 1.0, 20.0 mm d^-1. C type has the lowest scores in overall range. The difference in precipitation forecast skill by precipitation type can be explained by the spatial distribution and intensity of precipitation in each representative case.

• East Asian Economic Review
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• 제18권1호
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• pp.29-54
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• 2014

The purpose of this research is to identify the relation between OFDI (Outward Foreign Direct Investment) and wage inequality. In order to analyze various effects of OFDI on wages depending on the types of workers, the research classified laborers into four categories: permanent/skilled worker, permanent/unskilled worker, temporary/skilled worker, and temporary/unskilled worker. With controlling wage-determining factors such as education, labor union, individual fixed-effect, and industry-level effect, this paper examines whether OFDI attributes to the wage inequality among each type of workers. Moreover, this study also analyzes possible effects on wages that could vary according to the different characteristics of investments by classifying OFDI into two groups: OECD and non-OECD. The results reveal that OFDI makes certain differences according to skill-intensity and contract type in terms of influences on wages. It also shows that the effect of OFDI on wages is more subject to contract type than to skill-intensity. The classification of OFDI into OECD and non-OECD proves that effects on wages can vary by characteristics of the subject of investment.

• 한국산학기술학회논문지
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• 제14권8호
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• pp.3748-3759
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• 2013

본 연구의 목적은 DINA(deterministic-input, noisy "and" gate)모형에서 최대우도(maximum likelihood: ML), 최대사후확률(maximum a posteriori: MAP), 사후기대(expected a posteriori: EAP)방법들의 분류 정확성이 어느 정도인가를 알아보는 것이다. 연구 목적을 달성하기 위하여 다양한 모의실험 조건들[인지요소의 수(K= 5, 7), 응시생 능력분포(고능력, 중간능력, 저능력 집단), 검사 길이(J= 15, 30, 45)]에 따라 모의자료를 생성했다. 응시생 분류 정확성을 평가하기 위한 준거로 참 인지요소(true ${\alpha}$)와 ML, MAP, EAP방법으로 추정된 인지요소가 어느 정도 일치하는지를 계산했다. 본 연구의 주요결과를 요약하면 다음과 같다. 첫째, 본 연구에서 설정한 검사 조건에서 ML, MAP방법보다 EAP방법의 정확일치도 평균이 높았다. 둘째, 다른 검사 조건이 동일할 때, 인지요소의 수가 증가하면 ML, MAP, EAP방법 모두에서 정확일치도 평균이 낮아졌다. 셋째, 동일한 검사 길이에서 사전분포로 고능력, 중간능력, 저능력 집단을 각각 가정했을 때 ML, MAP방법보다 EAP방법의 정확일치도 평균이 높았다. 넷째, 동일한 응시생 능력분포에서 검사 길이가 증가하면 ML, MAP, EAP방법 모두에서 정확일치도 평균이 높아졌다. 인지요소의 수에 따라 응시생을 정확하게 분류하기 위한 적절한 검사 길이를 보면, 인지요소의 수가 5, 7개이고 이에 대응하는 검사 길이가 각각 30, 45문항일 때 본 연구에서 설정한 높은 분류 정확성 기준에 부합하는 것으로 나타났다.