• 한국문헌정보학회지
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• 제17권
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• pp.161-201
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• 1989

1. Introduction Korean society is moving toward an information society in 2000. At present a few Korean libraries are computerized and networks between libraries have yet to be formed. And there is no study done on the computerization of the Korean libraries. Therefore, this study will attempt to find elements that influence the computerization of Korean libraries. This research is composed of the following three parts. 1) Survey on the present status of computerized Korean libraries. 2) The influencing factors for Korean library computerization on the level of organization. 3) The relationship between professionalism and the access to the computer information on the level of librarians. 2. Hypothesis The basic hypothesis of this research is from the theory of the innovation of organization by Moch. He found that the size of the organization, specialization of the staffs, the task differentiation, and decentralization of decision making were the underlying influence for the organizational innovation. From this theory, hypothesis were formulated as follows. 1) The size of the library influences the library computerization. 2) Specialization of the librarians influences the library computerization. 3) Differentiation of the library services influences the library computerization. 4) The decision making process influences the library computerization. 3. Collection of the data Questionnaires were sent to 21 computerized libraries among which were 8 experimental group and 7 other controlled group libraries. Data were collected from April to July 1988. 4. Findings 1) The present status of Korean library computerization. -Korean libraries are computerized mostly in cataloguing. -The computer technology gate-keepers are mainly librarians. -The computerization budgets are not specifically allocated or funded by the organization but librarians made decisions to allocate library budget for the computer application. Gradually, more libraries are being funded specially for library computerization. 2) Factors that influence library computerization. -The size of the western books and the number of western periodical subscription influence the library computerization. -The number of annual book increase influences library computerization. -The number of annual book use influences library computerization. -The number of annual library users does not influences library computerization. - The size of the library budget influences the library computerization. -Librarian's specialization influences the library computerization. -Differentiation of library service influences the library computerization. Information service is positively related to the library computerization while data service is not related to the library computerization. -Decentralization of decision making in library service influences the library computerization.

• 한국조리학회지
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• 제22권3호
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• pp.121-138
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• 2016

본 연구는 조리 외식 전공 대학생들의 취업률 향상을 위한 진로준비행동에 관여하는 다양한 요인을 파악하여 효과적인 진로지도 방향을 제시하기 위함이다. 사회인지 진로이론을 바탕으로 진로결정 자기효능감은 진로성숙도와 진로행동을 발전시키는 구조적 관계의 가설을 설정하고, 실증분석을 통한 검증을 실시하였다. 조리 외식 전공 대학생을 대상으로 총 450부를 배포하여 불성실한 설문지를 제외하여 총 376부(83.6%)를 최종분석에 사용하였다. 수집된 자료는 SPSS 16.0과 AMOS 5.0을 이용하였다. 우선, 확인적 요인분석을 실시하기 전 고차원요인모형(High-order model)을 사용하였고, 가설검정을 위한 신뢰성과 타당성 분석을 실시하였다. 진로결정 자기효능감은 진로성숙도(t=6.86, p<0.001), 진로준비행동(t=3.83, p<0.001), 그리고 진로성숙도는 진로준비행동(t=2.79, p<0.01)에 유의한 영향관계가 있었으며, 모든 가설은 채택되었다. 이러한 결과들은 학생들이 가진 역량에 대한 스스로의 믿음을 강화하는 것이 진로 관련 문제들을 유연하게 대처할 수 있고, 성숙한 직업인으로 성장 할 수 있는 원동력이 될 수 있음을 확인하였다. 따라서 본 연구는 진로결정 자기효능감의 중요성을 인지하고, 이를 향상시킬 수 있는 체계적이고 통합적인 진로상담 프로그램 개발의 필요성을 제안한다.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 1998년도 The 12th Asia Quality Management Symposium* Total Quality Management for Restoring Competitiveness
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• pp.189-197
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• 1998

The axiomatic hypothesis of the objective distribution of evaluation subjection will be proposed in this paper. On the basis of that, set up the random response model of the expert evaluation system and the quality control principle of expert base. Under this principle, develop the statistical quality control theory of expert base, further; provide the quality improvement technology for expert base.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1387-1395
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• 2006

This paper considers testing for the ratio of two exponential means. We propose a solution based on a Bayesian decision rule to this problem in which no subjective input is considered. The criterion for testing is the Bayesian reference criterion (Bernardo, 1999). We derive the Bayesian reference criterion for testing the ratio of two exponential means. Simulation study and a real data example are provided.

• 산업경영시스템학회지
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• 제19권37호
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• pp.279-288
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• 1996

The purpose of this study is to investigate the usefulness of organizational development techniques for the behavioral change of employees and to inform organizational developer useful information for decision making. The scope of this study be limited to the techniques for the individual behavioral change among the organizational development The methodology of this study used the questionaire, and the sampling objected to the white class of manufactures. To verify the hypothesis, statistical methods used are Regression Analysis, T-test, Chi- square.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.124-127
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• 1997

In this paper, we propose a method of cooperative control based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B lymphocyte(B cell), each environmental condition as an antigen, and a behavior strategy as an antibody respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is simulated and suppressed by other robot using communication. Finally much simulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy.

• 한국주거학회논문집
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• 제17권3호
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• pp.79-87
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• 2006

The purpose of this study is to propose an architectural design process adopting design concepts with weight on them. The process of the study is as follow; First, design concepts for the study are classified by the hierarchy. Developing process of those design concepts which had been adopted for a creative thinking was investigated. Second, after putting different weight on diverse design concepts, this study propose a design process adopting design concepts with different weight. Finally, the proposed process adopting design concepts with weight was verified through a case study of elementary school project. The case study was carried out by questionnaires 3 times. Experimental results verified the hypothesis which was about the process adopting design concepts with different weight. Architects can precede their design process with confidence about setting design concepts by the result of this study.

• 전자공학회논문지S
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• 제35S권3호
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• pp.102-109
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• 1998

In this paper, we propose a method of cooperative control based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment.For the purpose of applying immune system to DARS, a robot is regarded as a B lymphocyte(B cell), each environmental condition as an antigen, and a behavior strategy as an antibody respectively. The executing process of proposed method is as follows. When the environmental codintion changes, a robot select an appropriate beharior stategy. And its behavior stategy is stimulated and suppressed by other robot using communiation. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and idotopic network hypothesis. And it is used for decision making of optimal swarm stragegy.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 춘계학술대회 학술발표 논문집
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• pp.127-130
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• 1998

In this paper, we propose a method of cooperative control(T-cell modeling) and selection of group behavior strategy(B-cell modeling) based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-call respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based of clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• 아태비즈니스연구
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• 제15권1호
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• pp.145-157
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• 2024

Purpose - In this study, we propose an empirical model for predicting seasoned equity offering (SEO here after) using machine learning methods. Design/methodology/approach - The models utilize the random forest method based on decision trees that considers non-linear relationships, as well as the gradient boosting tree model. SEOs incur significant direct and indirect costs. Therefore, CEOs' decisions of seasoned equity issuances are made only when the benefits outweigh the costs, which leads to a non-linear relationship between SEOs and a determinant of them. Particularly, a variable related to market timing effectively exhibit such non-linear relations. Findings - To account for these non-linear relationships, we hypothesize that decision tree-based random forest and gradient boosting tree models are more suitable than the linear methodologies due to the non-linear relations. The results of this study support this hypothesis. Research implications or Originality - We expect that our findings can provide meaningful information to investors and policy makers by classifying companies to undergo SEOs.