• Defense and Technology
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• no.7 s.149
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• pp.40-51
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• 1991

급변하는 국제방산협력 여건에 탄력적으로 대응하기 위해서는 공동연구개발 및 생산에 방산업체들의 적극적인 참여를 고무하는 정책이 실시되어야 한다. 특히 방산업체가 국내 연구개발 및 국제 공동연구개발에 직접 참여하는 제도의 수립이 필요하다. 향후 군사무역에서 GATT적용 등에 대비하고, 업체가 적극적인 중.장기 방산경영이 가능하도록 정부는 새로운 인식하에서 전반적인 제도개선이 마련되어야 할 것으로 믿는다. 장기적으로 방산국제협력을 담당하는 관료들은 국제교섭가인 동시에 국제마아케터로서의 자질을 갖춘 전문관료들이 보직해야햐며, 협력대상 국가별 전문가의 양성도 절실하다고 판단된다

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.809-818
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• 2009

Collaborative filtering approach predicts the preference of active user about specific items transacted on the e-commerce by using others' preference information. To improve the prediction accuracy through collaborative filtering approach, it must be needed to gain enough preference information of users' for predicting preference. But, a bit much information of users' preference might wrongly affect on prediction accuracy, and also too small information of users' preference might make bad effect on the prediction accuracy. This research suggests the method, which decides suitable numbers of neighbor users for applying collaborative filtering algorithm, improved by existing k nearest neighbors selection methods. The result of this research provides useful methods for improving the prediction accuracy and also refines exploratory data analysis approach for deciding appropriate numbers of nearest neighbors.

• Journal of the Korean Chemical Society
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• v.61 no.5
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• pp.251-262
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• 2017

The purpose of this study was to investigate characteristics of interaction in mentoring conversations and to examine how the interaction features change as mentor teachers have more mentoring experiences. Participants of this study were three mentor who have over 17 years' teaching experience and six beginning science teachers. For this study, one-to-one mentoring dialogue recordings and transcripts were collected and the dialogues were analyzed by utilizing an analytical framework of interaction. the result of analyzing characteristics of mentors' interaction shows that mentors used simple questions and support the most when they started mentoring conversation. the change of characteristics of mentor's interactions indicates three mentors tended to use more thought-provoking questions in the $2^{nd}$ year mentoring than in the $1^{st}$ year and as a result of it mentee's reflection and reflective practices were increased. Through mentors' interview, the mentors could have the opportunity to reflect their own mentoring and this means mentors' self reflection was provoked by means of the mentoring program.

• The KIPS Transactions:PartB
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• v.13B no.6 s.109
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• pp.625-632
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• 2006

Collaborative filtering is a technology that aims at teaming predictive models of user preferences. Collaborative filtering systems have succeeded in Ecommerce market but they have shortcomings of high dimensionality and sparsity. In this paper we propose the nearest neighbor collaborative filtering method using non-negative matrix factorization(NNMF). We replace the missing values in the user-item matrix by using the user variance coefficient method as preprocessing for matrix decomposition and apply non-negative factorization to the matrix. The positive decomposition method using the non-negative decomposition represents users as semantic vectors and classifies the users into groups based on semantic relations. We compute the similarity between users by using vector similarity and selects the nearest neighbors based on the similarity. We predict the missing values of items that didn't rate by a new user based on the values that the nearest neighbors rated items.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.684-695
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• 2001

Recent recommender system uses a method of combining collaborative filtering system and content based filtering system in order to solve sparsity and first rater problem in collaborative filtering system. Collaborative filtering systems use a database about user preferences to predict additional topics. Content based filtering systems provide recommendations by matching user interests with topic attributes. In this paper, we describe a method for discovery of user preference through combining two techniques for recommendation that allows the application of machine learning algorithm. The proposed collaborative filtering method clusters user using genetic algorithm based on items categorized by Naive Bayes classifier and the content based filtering method builds user profile through extracting user interest using relevance feedback. We evaluate our method on a large database of user ratings for web document and it significantly outperforms previously proposed methods.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.285-294
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• 2006

The requirements of Computer Supported Cooperative Work supporting efficient cooperative or collaborative works between multi-users have been increasing in distributed environments. The various technical sections such as group communication technology and distributed processing technology should be provided in Cooperative Work. The replicated development of Cooperative Work applications of a number of common requirements increases development costs enormously and duplicated investment parts. Therefore, systematical development environments are required to develop these common requirements and applications efficiently in Cooperative Work applications development. In this study, we propose the hierarchical role-based coordination model that improves the coordination model of legacy mobile agent to be appropriate in Cooperative Work applications, and design the development environment for Cooperative Work applications based on mobile agent. The proposed hierarchical role-based coordination model provides multi-layered group concepts of mobile agent, and enables implementation of efficient coordination policy per group. Additionally, it supports efficient Cooperative Work application development by role assignment per group unit.

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.11
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• pp.88-95
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• 2002

남북간의 경제협력, 특히 기술을 기반으로 하는 협력이 활성화되려면 우리가 북한을 알 수 있도록 하는 창구가 필요하다. 이용자의 창구와 전문가의 창구가 각각 필요하며, 이를 통해 과학기술 협력 및 기술거래 등 남북 경제협력의 포괄적 접근점을 효율적으로 찾을 수 있게 될 것이다.

• Korea Petroleum Association Journal
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• no.11 s.257
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• pp.38-41
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• 2006

한.산유국 국제협력사업이 2006년에 처음으로 실시되었다. 정부는 에너지가 우리경제에서 차지하는 중요한 역할과 원유.가스 등 주요 에너지의 안정적 공급기반 구축, 에너지연관 산업의 해외진출 활성화의 중요성을 감안, 주요 산유국과의 긴밀한 협력채널 구축이 필수적이라는 판단아래‘한-산유국 국제협력사업’을 시작하게 된 것이다. 이하에서는 2006년도 동 사업의 성과와 의미를 알아보고, 향후 발전방향에 대해서 언급하고자 한다.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.258-270
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• 2019

The purpose of this research is to investigate the effects of the participation type of members of consumer cooperatives on social connectedness, collaboration intention and psychological well-being. For this, research hypotheses and models were developed from the theoretical background, and an empirical study was conducted with a survey. The results of this research are as follows: first, among the customer participation types, emotional participation and physical participation promoted social connectedness. Second, physical participation showed positive effects on collaboration intention. Lastly, social connectedness improved collaboration intention, and collaboration intention had significant effects on psychological well-being.

• Journal of Korea Technology Innovation Society
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• v.9 no.2
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• pp.373-390
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• 2006

In knowledge-based economies, the facilitation of knowledge diffusion among R&D performing actors has become the most important factor for the growth of national science and technology. Korea has strived for revitalizing R&D partnerships between public and private sectors since 1970, but results of KIS (Korean innovation survey) data analysis show that R&D cooperation with public institute or academic sector are not a great help to Korean firm's innovation on the whole. Especially, in small and medium sized firm, R&D partnerships with public sector do not have positive influence on their innovation. This implies policies of activating R&D partnership should be formulated based on firm's cooperation demand. In addition to this, discriminatory cooperation plans between large firms and small and medium sized firms are needed to raise the effectiveness of R&D partnership.