• Title/Summary/Keyword: training effort

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A Study on the Effect of CEO and Eemployee's Intention to Innovation Activity Performances (경영자와 조직구성원의 의지가 혁신활동성과에 미치는 영향에 관한 연구)

  • Kim, Tae Sung;Koo, Il Seob
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.2
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    • pp.11-16
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    • 2015
  • A lot of factor effects on the enterprise's innovation and business performance, for instance CEO and members intention etc.. Niehoff et al. says, The success factors of innovation enterprise's management lead to members of vision, innovation, innovation activities and support for an aggressive attitude of the enterprise members. However, today's products consumers wanted diverse and complex needs. CEO and members of the enterprise has been the diversity effort. The increase cost savings as well as in the profit improve factors that enterprise's participated a education and training, Subgroup activities, process quality, eliminate waste, improve yields, lead time reduction, process capability increasing, ets. This paper is a report of an empirical survey performed to 277 small and medium-sized enterprise in the korea. Cronbach's alpha coefficient is employed to analyze the reliability of the data. The effect analysis of each group is performed by the SEM(structural equation model). We use the SPSS' Amos program to analyze the equation modeling and test the hypotheses of the model.

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Development of KITSAT. The First Korean Satellite and Space Development Strategy (우리별 위성개발(衛星開發)과 우주개발정책(宇宙開發政策)의 과제(課題))

  • Choi, Soon-Dal
    • The Korean Journal of Air & Space Law and Policy
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    • v.6
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    • pp.267-283
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    • 1994
  • Application of space technology in the field of communication and remote sensing becomes increasingly important in human life. Advancement of communications means shinks the size of our globe and that of remote sensing techniques improves the quality of human well-being. It is a world trent for each country to make its best effort in advancing its capabilities in these fields sometimes independently and other times jointly with other nations. Korea being no exception to this world trend is planning various starategies in application and development of space technologies. However, unfortunately, Korea is a new commer in this field. Statellite Technology Research Center (SaTReC) of Korea Advanced Institute of Science and Technology (KAIST) initiated to aquire satellite technology by sending its graduates abroad in 1989. As a result KITSAT-1 was launched in 1992 and KITSAT- 2 was launched in 1993 and they became Korea's first two satellites in orbits. Academic program including On-the Job-Training for Korean students at the University of Surrey, UK, is also an innovative scheme of mixing education and practical know-how for successful technology transfer, which resulted in a small but very capable and effective satellite experts group in Korea for self-propelled research and development in space activities. In this context, space development strategy should be considered in terms of the following factors; (1). Participation in international space activities as an active member to utilize international organization and to contribute to the peaceful use of space, (2). Development of national defence structure for independent activities in space, (3). Enhancement of manpower utilization for space development and promotion of national pride and (4). Education of youngsters for the extension of intellectual activities into the limitless space. In order to make very costly space development project most efficient, governmental level space development organization directed by the head of nation should be established and should manage all space development programs making full use of its all available resources including the advantage of the university based R&D capability.

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A Study on Low Pitch Accent Produced in Different Locations in English Sentences (영어 문장 내 상이한 위치에 나타난 저성조 피치 액센트 연구)

  • Yi, So-Pae;Kim, Soo-Jung
    • Phonetics and Speech Sciences
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    • v.3 no.4
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    • pp.63-70
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    • 2011
  • Recent studies on English $L^*$ (low pitch accent) have revealed the difference of changes in acoustic manifestation between utterances produced by Koreans and those produced by native speakers of English. However, not much effort has been made to compare $L^*$ focused constituents and non-focused constituents. At the same time, most previous works on focus realization are lacking in terms of normalization of acoustic measurement. Therefore, this research is dedicated to comparing the $L^*$ focused items and non-focused items realized by Koreans and Americans and to examining the realization of English $L^*$ produced by the two language groups with improved normalization of the acoustic features (F0, intensity and duration). Within-group analysis comparing focused words and non-focused words showed both Americans and Koreans prolonged the $L^*$ focused syllables but the effect size of syllable lengthening made by Koreans was far less than that made by Americans. Furthermore, significant F0 lowering was found in Americans but not in Koreans. However, the effect of intensity change caused by $L^*$ focus was not significant within each group. The effect of focused words was tested between the two groups revealing that Koreans implemented English $L^*$ focus with higher F0, lower intensity and shorter duration than Americans. In the instances in which a significant Group x Focus Location (initial, middle and final of a sentence) interaction was found, further analysis testing the effect of Group on each Focus Location was conducted. The testing showed that the Koreans produced shorter syllables at initial and middle of a sentence and higher F0 at initial of a sentence than Americans. Implications for the intonation training were also discussed.

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Development and Application in STEAM Education Materials for Gifted Student (영재를 위한 융합교육(STEAM) 자료 개발 및 적용)

  • Tae, Jin-Mi
    • Journal of Gifted/Talented Education
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    • v.24 no.4
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    • pp.703-728
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    • 2014
  • This study academically examined about whether STEAM education is really needed, as part of the convergence-style gifted education for training a producer in creative knowledge, through the documentary and Delphi survey. Based on the results, it developed STEAM education materials available for being applied to the domestically gifted education field, and examined the field applicability of the developed program. As a result of surveying validity and class satisfaction, the STEAM education materials of having been developed through this study were indicated to be useful in the aspects of the appropriateness for teaching-material composition, the learning satisfaction, and the promotion in the convergence-based thinking ability. The currently domestic situation is in being short of fundamental discussion about necessity or direction of STEAM education for gifted student, compared to an effort for emphasizing and activating policy of convergence-based education focusing on STEAM. Hence, the outcome of this study, which was performed on the basis of basic research on STEAM education for the gifted student, has significance in the aspect as saying of expanding applicability of STEAM education as the gifted education program.

Development of Body-Weight-Support System for Walking Rehabilitation (보행 재활을 위한 신체 자중 보상용 모바일 로봇에 관한 연구)

  • Suh, Seung-Whan;Yu, Seung-Nam;Lee, Sang-Ho;Han, Chang-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.10
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    • pp.3658-3665
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    • 2010
  • As the population of elderly people and disabled people are increased, various demands for human welfare using robot system are raised. Especially autonomous rehabilitation system using robot could reduce the human effort while maintaining the its intrinsic efficacy. This study deals with mobile gait rehabilitation system which combined with BWS (Body Weight Support) for training of elderly and handicapped people who suffer the muscle force weakness of lower extremity. BWS which is designed by kinematic analysis of body lifting characteristics and walking guide system are integrated with main control system and wheeled platform. This mobile platform is operated by UCS (User Command System) and autonomous trajectory planning algorithm. Finally, through the EMG (Electromyography) signal measuring and its analysis for subject, performance and feasibility of developed system is verified.

A Study for Improving the Managerial and Technological Consultancy for Korean Medium Industries. (한국 중소기업을 위한 경영.기술 지도사업의 효율화 방안)

  • 장영기
    • Journal of the Korean Professional Engineers Association
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    • v.13 no.4
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    • pp.31-47
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    • 1980
  • Since medium and small manufacturing enterprises have , played a very important role not only in national economy but also in political and social relationships all of the countries in the world have paid favorable policies and programmes for protecting and promoting this sector. In Korea main ingredients of promoting policy for this sector consist of (1) encouragement to modernize facilities and rationalize operation (2) special priority in bank loan (3) promotion of industrial cooperatives (4) prevention of infringement by large industries. However, substantial investigation for problems incurred in medium industries has revealed that unless medium industries improve and raise their technological and managerial skillfulness for themselves all other measures are useless to solve the problems. This realization has induced all of the countries to render extension services on both of technology and management to assist and support their own effort for rationalization. Also in Korea during past 20 years many technical and managerial research institutes have rendered free consultancy services to medium industries by the support of government subsidy. Among them the joint extension services project performed by the Medium Industry Bank and UNDP during 1967 and 1975 might he listed as model case because of its broad and integrated activities and participation of foreign experts. We think many precepts should be :learned from the study of this project. Korean economy is expected to develop rapidly throughout coming'80 in spite of many obstacles, tut there is an apprehension that gap in of every facet between medium and large enterprises might he deepened and enlarged. To prevent the actualization of so-called dual structure of national economy and to promote stabilized medium industries with high added value productivity which are shown in well developed countries, consultancy assistance ana extension services should be strengthened much more than ever. Fortunately in 1978 legislation of "Medium and small industry promotion act" has paved the way for the systematic achivement of consultancy and extension services which shall be integrated by the government overall program. Under new framework thoughtfull accomplishment should be undertaken considering precious precepts obtained from past experience and failure. Special attention should be given to the technical liaison officer scheme, exclusive participation of only professional institutes, strict qualification and training for consultants for the future succsseful implementation.

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Weighted Bayesian Automatic Document Categorization Based on Association Word Knowledge Base by Apriori Algorithm (Apriori알고리즘에 의한 연관 단어 지식 베이스에 기반한 가중치가 부여된 베이지만 자동 문서 분류)

  • 고수정;이정현
    • Journal of Korea Multimedia Society
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    • v.4 no.2
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    • pp.171-181
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    • 2001
  • The previous Bayesian document categorization method has problems that it requires a lot of time and effort in word clustering and it hardly reflects the semantic information between words. In this paper, we propose a weighted Bayesian document categorizing method based on association word knowledge base acquired by mining technique. The proposed method constructs weighted association word knowledge base using documents in training set. Then, classifier using Bayesian probability categorizes documents based on the constructed association word knowledge base. In order to evaluate performance of the proposed method, we compare our experimental results with those of weighted Bayesian document categorizing method using vocabulary dictionary by mutual information, weighted Bayesian document categorizing method, and simple Bayesian document categorizing method. The experimental result shows that weighted Bayesian categorizing method using association word knowledge base has improved performance 0.87% and 2.77% and 5.09% over weighted Bayesian categorizing method using vocabulary dictionary by mutual information and weighted Bayesian method and simple Bayesian method, respectively.

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Development of a Fuzzy-Genetic Algorithm-based Incident Detection Model with Self-adaptation Capability (Fuzzy-Genetic Algorithm기반의 자가적응형 돌발상황 검지모형 개발 연구)

  • Lee, Si-Bok;Kim, Young-Ho
    • Journal of Korean Society of Transportation
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    • v.22 no.4 s.75
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    • pp.159-173
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    • 2004
  • This study utilizes the fuzzy logic and genetic algorithm to improve the existing incident detection models by addressing the problems associated with "crisp" thresholds and model transferability (applicability). The model's major components were designed to be a set of the fuzzy inference engines, and for the self-adaptation capability the genetic algorithm was introduced in optimization(or training) of the fuzzy membership functions. This approach is often called "the hybrid of fuzzy-genetic algorithm" The model performance was tested and found to be compatible with that of the existing well-recognized models in terms of performance measures such as detection rate, false alarm rate, and detection time. This study was not an effort for simple improvement of the model performance, but an experimental attempt to incorporate new characteristics essential for the incident detection model to be universally applicable for various roadway and traffic conditions. The study results prove that the initial objective of the study was satisfied, and suggest a direction that the future research work in this area must follow.

Analysis on Knowledge and Skills for Information Security Professionals (정보보호 분야 직무별 필요 지식 및 기술 분석)

  • Jun, Hyo-Jung;Yoo, Hye-Won;Kim, Tae-Sung
    • Information Systems Review
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    • v.10 no.2
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    • pp.253-267
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    • 2008
  • As the importance of information security becomes a major concern, there has been growing effort to educate information security professionals. This study aims to analyze the level of required knowledge and skills for four information security skills groups: strategy and planning; research and development; system management and operation; and accident control. For this study, we selected 55 critical knowledge and skills for information security professionals by literature review and Delphi method, and we conducted a survey of information security knowledge and skills requirements for information security professionals to perform their jobs. As a result, we analyzed the current status of the information security professionals' knowledge and skills level and suggested some guidelines for establishing the demand-based curriculum for training information security professionals.

Purchase Prediction Model using the Support Vector Machine (Support Vector Machine을 이용한 고객구매예측모형)

  • Ahn, Hyun-Chul;Han, In-Goo;Kim, Kyoung-Jae
    • Journal of Intelligence and Information Systems
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    • v.11 no.3
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    • pp.69-81
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    • 2005
  • As the competition in business becomes severe, companies are focusing their capacity on customer relationship management (CRM) for survival. One of the important issues in CRM is to build a purchase prediction model, which classifies customers into either purchasing or non-purchasing groups. Until now, various techniques for building purchase prediction models have been proposed. However, they have been criticized because their performances are generally low, or it requires much effort to build and maintain them. Thus, in this study, we propose the support vector machine (SVM) a tool for building a purchase prediction model. The SVM is known as the technique that not only produces accurate prediction results but also enables training with the small sample size. To validate the usefulness of SVM, we apply it and some of other comparative techniques to a real-world purchase prediction case. Experimental results show that SVM outperforms all the comparative models including logistic regression and artificial neural networks.

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