• Journal of the Korea Safety Management & Science
• /
• v.17 no.3
• /
• pp.143-148
• /
• 2015

The study examined the relationship between workers' safety awareness, safety performance and the components of the intelligent image analysis system in accordance with preventing the workers from safety hazard in dangerous working area. Based on the safety performance model, we include safety knowledge, safety motivation, safety compliance and safety participation, and we also define three additional factors of the intelligent image analysis system such as functional feature, penalty and incentive by using factor analysis. SEM(Structural Equation Modeling) analyses on the data from the total of 73 workers showed that functional feature of intelligent analysis system and incentive were positively related to safety knowledge and safety motivation. And mediation effects of the relationship were verified to safety compliance and safety participation through safety knowledge as well.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.24 no.1
• /
• pp.99-117
• /
• 1999

Since query language is used as a handy tool to obtain information from a database, a more intelligent query answering system is needed to provide user-friendly and fault-tolerant human-machine Interface. Frequently, database users prefer less rigid querying structure, one which allows for vagueness in composing queries, and want the system to understand the intent behind a query. When there is no matching data available, users would rather receive approximate answers than a null information response. This paper presents a knowledge abstraction database that facilitates the development of such a fault-tolerant and intelligent database system. The proposed knowledge abstraction database adepts a multilevel knowledge representation scheme called the knowledge abstraction hierarchy(KAH), extracts semantic data relationships from the underlying database, and provides query transformation mechanisms using query generalization and specialization steps. In cooperation with the underlying database, the knowledge abstraction database accepts vague queries and allows users to pose approximate queries as well as conceptually abstract queries. Specifically. four types of vague queries are discussed, including approximate selection, approximate join, conceptual selection, and conceptual Join. A prototype system has been implemented at KAIST and is being tested with a personnel database system to demonstrate the usefulness and practicality of the knowledge abstraction database in ordinary database application systems.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2008.10a
• /
• pp.329-341
• /
• 2008

Knowledge management has garnered attention due to its role of maintaining competitive advantage. Creating and sharing knowledge is an essential part of managing knowledge. However, the best knowledge is underutilized because employees tend to seek knowledge through their informal networks, not reach out to other sources for obtaining the best knowledge. Prior studies on informal networks pointed out a negative influence of heavy reliance on learning through informal networks but they paid little attention to a structure of informal networks and its impacts on diffusion of knowledge. The aim of our study is to show impacts of informal network on knowledge management by employing a network structure and investigating diffusion of knowledge within it. Our study found out that performance of learning becomes lower in a highly clustered network. Creating random links such as serendipitous learning can improve performance of knowledge management. When employees rely on a knowledge management system, creating random links is not necessary. Costs of adopting knowledge affect performance of knowledge management.

• Science of Emotion and Sensibility
• /
• v.5 no.4
• /
• pp.33-43
• /
• 2002

The world is in the great change by the digital revolution and is changing fast to knowledge-based society beyond information society. That is to say, Knowledge is the most powerful source of competitiveness. This change of environment needs new paradigm in design. As of today, There is need to study systematically and approach practically about knowledge management. So that, we are intend to reconstruct theoretical system from design-oriented viewpoint and propose knowledge-creation paradigm through the importing technique of knowledge management into design. This study is to develop theoretical frame work of knowledge management in design as a basic study on the implementation of knowledge management for design. By the method of study for this, It was studied literature and precedent. Further more, proposed the appropriate direction of knowledge management implementation in design. Also, It was composed knowledge management system of the infra system, information system, decision-making support system and knowledge competency. Finally, The technical feature of knowledge management system was analyzed from a information technology point of view.

• Journal of Korea Technology Innovation Society
• /
• v.6 no.1
• /
• pp.1-19
• /
• 2003

The mechanism of knowledge production in the basic science has been changed throughout the development process in Korea. During the 1970s, the focus resides in the support of individual scientists while it concentrated on the support of research organization, centered on center of excellence from the 1980s. The change in the sup-porting mechanism to basic science result in the transformation of knowledge production system in the university and impact on the behavior of individual scientists. This paper focuses on the co-evolution process between newly adopted supporting program for basic science and the knowledge production system via the case study of representative program of center of excellence supporting program in Korea.

• International Journal of Computer Science & Network Security
• /
• v.21 no.4
• /
• pp.209-213
• /
• 2021

Data mining is the application of specific algorithms for extracting patterns from data and KDD is the automated or convenient extraction of patterns representing knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories or data streams. Data mining can be used for decision making in educational system. But educational institution does not use any knowledge discovery process approach on these data; this knowledge can be used to increase the quality of education. The problem was happening in the educational management system, but to make education system more flexible and discover knowledge from it huge data, we will use data mining techniques to solve problem.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.16 no.2
• /
• pp.33-33
• /
• 1991

The management of enterprise knowledge has been increasingly important because knowledge emerges as the new basis of competition in postcapitalist society. One of the key issues in knowledge management is to put knowledge into a repository where it can be easily stored, reused, and recreated. This paper proposes a model repository and the corresponding knowledge management framework. The emphases of model repository is on abstraction knowledge in the form of schematic models. Two major benefits are model independence and model integration. A metaschema is constructed according to six conceptual components: separate unit, external link, internal link, separate unite descriptor, link descriptor, and composite descriptor, which can be applied for a variety of models. A prototype system with a case illustrates the practical usefulness of model repository for knowledge management

• Knowledge Management Research
• /
• v.5 no.1
• /
• pp.83-99
• /
• 2004

This research aims to verify individual and organizational factors that will affect knowledge sharing, especially in research & development organizations with a premise that knowledge sharing is one of the most important factors of successful knowledge management. Many factors which are supposed to affect knowledge sharing arc empirically investigated in this research : individual factors ((1)self esteem (2)expected contribution), organizational factors ((3)top management's will, (4)accessibility of knowledge management system (5)validity of evaluation & reward knowledge sharing, (6)trust, (7)open communication). As a result, it is found that 'expected contribution' among individual factors and 'open communication' and 'validity of evaluation & reward' among organizational factors are highly correlated with knowledge sharing. These findings suggest that enhancement of perceived expected contribution among employees and building cultures of open communication and effective evaluation & reward system for knowledge sharing will contribute to activation of knowledge sharing in the research and development organizations.

• Journal of The Korean Association For Science Education
• /
• v.25 no.7
• /
• pp.746-753
• /
• 2005

In order to be efficient teachers should understand the current level of leaners through diagnostic evaluation. However, it is arduous to administer a diagnostic examination in every class because of various limitations. This study examined, the major issues arising from the development of a new science diagnostic evaluation system by incorporating the using knowledge state analysis method. The proposed evaluation system was based on the knowledge state analysis method. Knowledge state analysis is a method where by a distinguished collection of knowledge uses the theory of knowledge space. The theory of knowledge space is very advantageous when analyzing knowledge in strong hierarchies like mathematics and science. It helps teaching plan through methodically analyzing a hierarchy viewpoint for students' knowledge structure. The theory can also enhance objective validity as well as support a considerable amount of data fast by using the computer. In addition, student understanding is improved through individualistic feedback. In this study, an evaluation instrument was developed that measured student learning outcome, which is unattainable from the existing method. The instrument was administered to pre-service physics teachers, and the results of student evaluation was analyzed using the theory of knowledge space. Following this, a revised diagnostic evaluation system for facilitating student individualized learning was constructed.

• Journal of Information Technology Applications and Management
• /
• v.23 no.3
• /
• pp.13-23
• /
• 2016

In recent years, big data has usefully been deployed by organizations with the aim of getting a better prediction for the future. Moreover, knowledge management systems are being used by organizations to identify and create knowledge. Here, the output from analysis of big data and a knowledge management system are used to develop a new model with the goal of minimizing the cost of implementing new recognized processes including staff training, transferring and employment costs. Strategies are proposed from big data analysis and new processes are defined accordingly. The company requires various skills to execute the proposed processes. Organization's current experts and their skills are known through a pre-established knowledge management system. After a gap analysis, managers can make decisions about the expert arrangement, training programs and employment to bridge the gap and accomplish their goals. Finally, deduction graph is used to analyze the model.