• International Journal of Control, Automation, and Systems
• /
• v.2 no.2
• /
• pp.207-219
• /
• 2004

This paper presents the development of a knowledge-based control system operating via the Internet. With the synergy provided by the Internet, the central expert controller with its knowledge-base has the potential to serve a multitude of front-end clients located anywhere in the world provided they have Internet access. In this way, the operational span of the knowledge-based control system can be expanded to virtually anyplace within the reach of the Internet. This configuration has positive implications in improving the efficiency of distributed operations, thereby enabling plantwide optimization and costs savings. Datasocket technology is adopted to facilitate a more efficient data exchange between the knowledge-based central server and the front-end clients. A specific application in the remote monitoring and fault diagnosis of machines using the proposed control configuration is presented in the paper.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2006.05a
• /
• pp.613-614
• /
• 2006

Design data, information, and knowledge have complex associations with each other. Systems related with the management of the data, information, and knowledge are various, and the representations are numerous. Therefore it is difficult to construct a knowledge based design system with a full association knowledge for supporting the design tasks. In this research, OWL based ontology model for an excavator design is developed for the representation of the relationships. Also an ontology model is used to develop the knowledge based excavator design system.

• Knowledge Management Research
• /
• v.9 no.3
• /
• pp.173-194
• /
• 2008

Conventional financial accounting system has overseen the significant roles of the non-financial facets of the activities of the company, especially whose value creating abilities are based on knowledge assets. In the knowledge-based economy, telecommunication service companies must recognize the changes from the tangible assets to the knowledge assets as value creating resources, understand the dynamic processes in which the knowledge is converted to financial profits and seek the method to measure and report knowledge assets to sustain the competitive advantage continuously. This study proposes the indicators and measures of knowledge assets of Korea Telecom. Through the analysis and application of tile knowledge assets report of the Korea Telecom, this study shows the usefulness of the knowledge assets report.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.31 no.2
• /
• pp.1-10
• /
• 2008

In the knowledge-based society which recognizes knowledge as a core value, knowledge management is one of the most interesting issues. The creation of knowledge within an organization occurs as a result of interactions of tacit and explicit knowledge, in process of knowledge conversion. One useful model of this process is the SECI model which stands for a process of socialization, externalization, combination and internalization of knowledge. The enterprise competitive power depends on how an organization accelerates the speed of the cycle of knowledge creation well. In this paper we introduce a knowledge management promotion system based on SECI model and proposal system to promote the cycle of knowledge creation in production fields, and study an enterprise case.

• Journal of Information Technology Applications and Management
• /
• v.18 no.1
• /
• pp.75-100
• /
• 2011

For decades, thousands of corporation introduced knowledge management systems to respond knowledge-based society. However, it seems that the systems merely focusing on knowledge accumulation and its sharing have been bounded by many restrictions in terms of new knowledge creation based on the life cycle of knowledge management systems. Moreover, recently, a variety of knowledge management activities regarding organization, systems, and process is emphasized as a strategic asset for a corporation to create core knowledge. Therefore, this study adopted the Csikszentmihalyi's flow theory to investigate the factors affecting knowledge creation and the success factors of knowledge management systems in virtual space. Prior studies argued that flow experience should be a prerequisite for creative knowledge creation. In that vein, this research revealed the causal relationships for flow experience between the determinants of clear goal, immediate feedback, congruence of challenge and skill. Additionally, it empirically examined how flow experience affected the exploratory behavior of knowledge creation.

• Journal of Korea Technology Innovation Society
• /
• v.15 no.3
• /
• pp.500-532
• /
• 2012

This study analyzed the technology innovation strategies of knowledge-based companies in the semiconductor IP industry. The theoretical approaches of this study are to i) the creation, protection and utilization of knowledge and innovation, ii) value creation from innovation, iii) modularity, timing of market entry, and the emergence and competition of standard (dominant design). Based on the theoretical analysis, I presented exploratory research hypotheses. Ultimately, this study examined the proposed hypotheses by conducting case studies on the technology innovation strategy of two leading knowledge-based companies in the semiconductor IP industry: ARM and INTEL. First, knowledge-based companies entering in the early stage of the technology cycle select the vertically-integrated technology strategy because of lower access to complementary knowledge assets, and maintain the vertically-integrated technology strategy despite the environmental change-driven differentiation of industry's value chain. Second, knowledge-based companies entering in the later stage of the technology cycle prefer the contract-based technology strategy because of its increased accessibility to complementary knowledge assets, and choose a different path of innovation strategies depending on whether their asset has the feature of discontinuity or not.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2004.10a
• /
• pp.568-571
• /
• 2004

In this study, we propose an efficient expert system (ES) construction mechanism by using dynamic knowledge map (DKM) and database management systems (DBMS). Generally, traditional ES and ES developing tools has some limitations such as, 1) a lot of time to extend the knowledge base (KB), 2) too difficult to change the inference path, 3) inflexible use of inference functions and operators. First, to overcome these limitations, we use DKM in extracting the complex relationships and causal rules from human expert and other knowledge resources. Then, elation database (RDB) and its management systems will help to transform the relationships from diagram to relational table. Therefore, our mechanism can help the ES or KBS (Knowledge-Based Systems) developers in several ways efficiently. In the experiment section, we used medical data to show the efficiency of our mechanism. Experimental results with various disease show that the mechanism is superior in terms of extension ability and flexible inference.

• International conference on construction engineering and project management
• /
• 2011.02a
• /
• pp.567-574
• /
• 2011

The purpose of this paper is to identify factors that influence knowledge sharing and determine the attitudes of quantity surveyors towards knowledge sharing based on the factors. The analysis was based on an online questionnaire survey of Registered Quantity Surveyors from Selangor and Kuala Lumpur. Individualism and collectivism were identified as two major factors that influence attitude towards knowledge sharing. Indicators of individualism include individual attitude, competitiveness, care, incentives and rewards; while the indicators of collectivism are trust, social behaviors and motivation. The findings show that the level of attitudes towards knowledge sharing among quantity surveyors is generally high under enabling organizational environment. However, this is a cautious conclusion as the valid sample on which the analysis is based is relatively small. Willingness to share was found to be highest when incentives and rewards are involved as well as when there is a knowledge management system to promote continuous learning and sharing of knowledge.

• Journal of Korean Clinical Health Science
• /
• v.3 no.4
• /
• pp.476-489
• /
• 2015

Purpose. The purpose of this study was to investigate the evidence-based pain management knowledge, performance and Evidence-Based Practice(EBP) attitude of nurses at small-medium sized hospitals. Methods. The sample of this study were 214 nurses. Data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation and stepwise multiple regression using SPSS/Win 21.0 Results. Evidence-based pain management knowledge score averaged $3.95{\pm}0.43$, with significant differences depending on clinical experiences. Performance score averaged $3.77{\pm}0.51$. EBP attitude score averaged $3.21{\pm}0.57$, and significant differences were evident depending on hospital division and clinical setting. Evidence-based pain management knowledge and EBP attitude were significant predictors of evidence-based pain management performance. Conclusions. This result indicates that education and training programs to facilitate evidence-based pain management knowledge, performance, and EBP attitude are needed among nurses.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.13 no.6
• /
• pp.743-748
• /
• 2003

In this research, we propose a mechanism to develop an inference engine and expert systems based on relational database (RDB) and SQL (structured query language). Generally, former researchers had tried to develop an expert systems based on text-oriented knowledge base and backward/forward (chaining) inference engine. In these researches, however, the speed of inference was remained as a tackling point in the development of agile expert systems. Especially, the forward inference needs more times than backward inference. In addition, the size of knowledge base, complicate knowledge expression method, expansibility of knowledge base, and hierarchies among rules are the critical limitations to develop an expert system. To overcome the limitations in speed of inference and expansibility of knowledge base, we proposed a relational database-oriented knowledge base and forward inference engine. Therefore, our proposed mechanism could manipulate the huge size of knowledge base efficiently. and inference with the large scaled knowledge base in a short time. To this purpose, we designed and developed an SQL-based forward inference engine using relational database. In the implementation process, we also developed a prototype expert system and presented a real-world validation data set collected from medical diagnosis field.