• Korean Security Journal
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• no.3
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• pp.273-305
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• 2000

The knowledge substitutes the traditional factors of production - land, labor, and capital - and has become one of the most important new resources. The Internet Knowledge Society is where the knowledge is the major source of development and competition. Now more than 350mi11ion computers are connected to internet servers and the internet users are more than 250mi11ion. The purpose of this paper is to propose some key factors for implementing the Police Knowledge Management System(PKMS) based on Intranet. With Information Technology(IT), the police administrative system will be much more efficient. Introducing the If into the system is critical for restructuring the police administrative system. This paper concludes as follows : ■ Knowledge is divided into tacit and explicit one. Knowledge process is divided into acquisition, accumulation, distribution and creation of knowledge. ■ The IntraNet is composed of Web server, FTP server, electric-mail server, and is constructed security system to safety. ■ All policemen are bound to serve as a new knowledge worker. ■ Police organization needs to operate data management system. The organization also needs to the Police Knowledge Management Center(PKMC). And the Police Chief Knowledge Officers(PCKO) needs to be appointed to manage the PKMC. ■ An information and knowledge infrastructure(various databases are the most important factor) should be established within the organization to promote the self-directed management, the interactive communication, and the learning ability of the members.

• Proceedings of the KWS Conference
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• 2003.11a
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• pp.36-38
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• 2003

In order to understand the basic knowledge on the model of heat source in hybrid welding, authors have conducted finite element analysis to calculate heat distribution using three heat source models of non-split type and split type(Volume, Volume-Volume, Volume-Surface). From the research result, we can confirm that Volume-Volume heat source of split type is suitable for the analysis of heat distribution.

• Journal of Forest and Environmental Science
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• v.27 no.1
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• pp.23-31
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• 2011

Ever since the dawn of civilization, the ambient vegetation and the resources constituted major source of human existence for various substantial requirements. Our present knowledge on plant resources emerged from the traditional heritable knowledge descended from generation to generation. However, traditional knowledge pertaining to several aspects remained untapped from various remote localities or populations. Furthermore, with the present trends of excessive exploitation of natural resources and degradation of habitats, conservation and ecological management require coherence of traditional skills and modern approaches. Therefore, the present study is to record traditional plant based knowledge among the inhabitants of Siwalik region of Uttarakhand Himalaya. Extensive field survey was made for the collection of data on the medicinal aspects of plant species in the study area covering the parts of districts Pauri, Dehradun and Haridwar. During the course of study 130 plant species belonging to 65 families are reported, used as traditional medicine by the local inhabitants of this region.

• Journal of Information Technology Services
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• v.12 no.2
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• pp.13-29
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• 2013

Offshore software development by Korean companies is mainly led by big SI (System Integration) companies. They open Offshore Development Centers (ODC) in developing countries such as India, China, and Vietnam to source software development for their mother companies. Firms with ODC consider transferring knowledge such as business and cultural knowledge as the most complicated yet essential process for the success of offshore development. This study investigates whether the selection of a governance mechanism is related with knowledge transfer and thus the success of offshore development. The results of this study indicate that a hierarchical governance mechanism is appropriate for transferring company-specific, sensitive, complex knowledge in offshore software development.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.557-561
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• 2020

This paper explores the attitudes of accounting students toward knowledge sharing at Umm Al-Gura University for the academic year 2013-2014. The study explored knowledge sharing among 202 accounting students at Umm Al-Gura University in session during the 2013-2014 academic year. Primary data came from a 3-item questionnaire collected from students; secondary data were source from scholarly publication. Descriptive statistics was used. The findings of this study revealed that the students had a medium to high degree of positive attitude toward knowledge sharing. The students had a positive perception of the use of knowledge sharing in supporting their education. The findings are essential for several stakeholders, such as university policymakers, lecturers, and the students, to provide a deeper understanding of knowledge sharing at the university education level. The findings may encourage policymakers at the university and the classroom levels to organize activities that promote knowledge sharing such as seminars, symposiums, or knowledge sharing exercises during the classroom hours to raise the students' knowledge sharing behavior and enhance education. The results of this study should be useful to policy makers at the university level and the classroom level as there is a positive attitude in disseminating knowledge in the higher educational setting.

• Proceedings of the Korean Society for the Gifted Conference
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• 2002.05a
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• pp.149-150
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• 2002

• Journal of the Korean Society for information Management
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• v.21 no.3
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• pp.31-44
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• 2004

Information center represents an important source which seems very well suited for knowledge management investigation. Information center is knowledge intensive and the use of advanced technology may transform the knowledge of business processes for delivering an unique capabilities in an organization. To exam knowledge management, organization culture, importance of knowledge, and support of information technology were identified as potential predictors of knowledge management support in information center. Three hypotheses have been tested with 43 database management specialist surveys. This study presents that the level of information sharing and knowledge exchange is significantly influenced by the extent support of information technology.

• The Korean Journal of Food And Nutrition
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• v.26 no.3
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• pp.391-397
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• 2013

This study investigated the knowledge, attitude, and behavior of 280 University students towards nutrition labels. The purpose of the study was to examine knowledge, attitudes, and behaviors of university students regarding nutrition labeling, and whether body mass index (BMI) with nutrition labeling was associated with knowledge, attitudes, and behaviors. Descriptive statistics analyzed knowledge, attitudes, and behaviors of university students regarding food labeling. The ANOVA and ${\chi}^2$ analysis was evaluated and assessed for its relationship with BMI. Pearson's correlation coefficient analysis examined relationships between knowledge, attitudes, and behaviors. More than 90 percent of answers relating to 11 nutritional knowledge questions were correct. Only 30% of participants answered correctly regarding questions about plan source oil and cholesterol content. Attitudes and behaviors of nutrition labels were significantly higher among participants who were obese (p<0.001). Knowledge score was positively correlated with general label usage behavior (r=.169, p<0.01), and item buying behavior (r=0.142, p<0.05). Attitude also was positively correlated with behavior (p<0.01). Nutrition labeling education efforts are needed to provide university students with a nutritional education program and information on how to read nutritional labels and apply this information to their lives. University students need to understand their need for numerous nutrients instead of merely focusing on the fat and calories of foods.

• Knowledge Management Research
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• v.16 no.4
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• pp.1-16
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• 2015

This paper aims to explore the small and medium sized enterprises'(SMEs') technological innovation through an open innovative strategy. Researchers have identified open innovation as external search 'breadth' and 'depth'. Although an open innovation strategy is well known as an effective way for SMEs' innovation, this stream of research examines differences between pursuing breadth of external knowledge and depth of external knowledge for SEMs' innovation. The sample comprises a total of 1106 SMEs included in the Korean Innovation Survey, and logistic regression analysis and odds ratio comparison were used to evaluate the relationship between external knowledge search and innovation outcomes. The results show that both 'breadth' and 'depth' positively affect the SMEs' innovation. When SMEs are simultaneously pursuing external searching for breadth and depth, however, a negative result on innovation outcome followed because of the lack of their internal resources and capacities. Despite these contributions, we have certain limitations that can be regarded as means of future research. Even though breadth and depth are adopted to measure the way of how a firm sources the external knowledge, companies may place the different weight on each source of knowledge. And also, it is difficult to understand how the knowledge gained through external search contributes to a firm's incremental and radical innovation, respectively.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.221-232
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• 2021

In recent years, with the existence of huge amounts of data stored in huge databases, the need for developing accurate tools for analyzing data and extracting information and knowledge from the huge and multi-source databases have been increased. Hence, new and modern techniques have emerged that will contribute to the development of all other sciences. Knowledge discovery techniques are among these technologies, one popular technique of knowledge discovery techniques is data mining which aims to knowledge discovery from huge amounts of data. Such modern technologies of knowledge discovery will contribute to the development of all other fields. Data mining is important, interesting technique, and has many different and varied algorithms; Therefore, this paper aims to present overview of data mining, and clarify the most important of those algorithms and their uses.