• Journal of Institute of Control, Robotics and Systems
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• v.4 no.5
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• pp.624-629
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• 1998

Evolutionary computation techniques can solve search problems using simulated evolution based on the ‘survival of the fittest’. Recently, the genetic programming (GP) which evolves computer programs using the genetic algorithm was introduced. In this paper, the genetic programming technique is used in order to design a rule based controller consisting of condition-action rules for an unknown system. No a priori knowledge about the structure of the controller is needed. Representation of a solution, functions and terminals in GP are analyzed, and a method of constructing a fuzzy logic controller using the obtained rule based controller is described. A simulation example using a nonlinear system shows the validity and efficiency of the proposed method.

• Korean Journal of Heritage: History & Science
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• v.57 no.1
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• pp.6-19
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• 2024

The Korean Archaeological Dictionary, which represents Korean archaeological knowledge information, contains refined and high-quality information written by expert collective intelligence. This is a characteristic that clearly distinguishes it from overseas archaeological data archives, and can be called differentiated infrastructure data. However, it has not played a role as an information service or knowledge information platform reflecting the latest digital technology. As a way to maximize these strengths and compensate for weaknesses, it was proposed to develop and operate a GIS-based knowledge and information platform for Korean archaeology. To realize this, it is necessary to develop a title management system centered on repositories and metadata that can collect and store various information, link open linked data design and related systems, develop a search function that can analyze and visualize data in response to the big data era, and establish a WebGIS-based information service system. This will be a platform to continuously manage, supplement, and update Korean archaeological knowledge information, build a ubiquitous environment where anyone can use information anytime, anywhere, and create various types of business models.

• Biotechnology and Bioprocess Engineering:BBE
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• v.10 no.5
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• pp.400-407
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• 2005

Reverse engineering is defined as the process where the internal structures and dynamics of a given system are inferred and analyzed from external observations and relevant knowledge. The first part of this paper surveys existing techniques for biosystem reverse engineering. Network structure inference techniques such as Correlation Matrix Construction (CMC), Boolean network and Bayesian network-based methods are explained. After the numeric and logical simulation techniques are briefly described, several representative working software tools were introduced. The second part presents our component-based software architecture for biosystem reverse engineering. After three design principles are established, a loosely coupled federation architecture consisting of 11 autonomous components is proposed along with their respective functions.

• Journal of Technology Innovation
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• v.8 no.1
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• pp.31-48
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• 2000

Nowadays the role of region has been increased, as knowledge, science and technology become important in economic development. This paper argues that a system approach is needed to enhance regional S&T capabilities. Under the this approach, we can identify a concept of regional innovation systems as sub-systems of a national innovation system. This paper investigates Korean regional innovation systems based on R&D budget of regional governments. According to this paper, Korean regional governments' R&D investment is very insufficient. There were no co-relationship between regional governments' fiscal autonomy from the central government and their R&D investment. This paper argues that such a poor investment will restrict the future development of Korean regional innovation systems. Therefore, this paper suggests some strategic options for the development of regional innovation systems as follows. First, regional governments should increase their R&D budget. Second, their R&D efforts should be related with their specific industrial sectors. Third, they should target not only to create new promising industrial sectors but also to enhance technological capabilities of existing sectors. Fourth, their target group should be small and medium-sized enterprises. Finally, regional governments should adopt small and incremental approach to improve their innovation systems.

• The Journal of Information Systems
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• v.19 no.4
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• pp.1-24
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• 2010

Over the past three decades, services have become the largest part of most industrialized nations' economies but it is the least-studied part of the economy. One approach is to develop a general theory of service with well-defined questions, tools, methods, and practical implications of society. The purpose of this study was to propose a service systems model to systematically approach a service research. For this purpose, we conducted literature review about business model and extant service systems researches. Based on a literature review, we propose a service systems model that comprises value proposition, participants, shared information/knowledge, organizational capability, value network, and technology. Implications for practice and recommendations for additional research were discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.97-99
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• 2011

As interoperability between systems in distributed environment has been important, it has been possible for various organizations to share resources and exchange relevant information. However, semantic heterogeneity between the systems and organizations causes the problem of making their interoperability impossible. Thereby, in this paper, we propose an ontology matching-based knowledge management system which can automatically discover semantic correspondences between ontologies. Moreover, even though there have been many existing ontology matchers, it is still difficult to directly apply them to the proposed system. To deal with the problems, we want to discover matching patterns (MP) which they discover from two given ontologies.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.320-333
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• 2018

The study introduced an actual American university program student's learning outcomes in instructional technology integration knowledge in order to acknowledge implication considering the current status of relevant Korean teacher training programs. With utilizing complete sampling (students enrolled in a master's program in Instructional Systems Technology at the N University in Fall 2015), the survey was conducted on knowledge, strategies and performance in instructional technology integration, and interview assessed deeper understanding of students' relevant competencies in their specific professional setting. The results and findings based on triangulation of the data confirmed that the students gained sufficient knowledge, and applied the relevant knowledge and competencies into their work setting. For future research, the implications were offered on reviewing Korean teacher training programs in professional competency development related to technology integration in teaching and learning.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.116-122
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• 2010

As the importance of HCI(Human-Computer Interface) caused by dramatically developed computer technology is getting high, the requirement for the design of human friendly systems is also getting high. First of all, the personality and Emotional factor should be considered for implementing more human friendly systems. Many studies on Knowledge, Emotion and personality have been made, but the combined methods connecting these three factors is not so many investigated yet. It is known that memorizing process includes not only knowledge but also the emotion and the emotion state has much effects on the process of reasoning and decision making step. Accordingly, for implementing more human friendly efficient sophisticated intelligent system, the system considering these three factors should be modeled and designed. In this paper, knowledge-emotion reaction model was designed. Five types are defined for representing the personality and emotion reaction mechanism calculating emotion vector based on the extracted Thought threads by Type matching selection was proposed. This system is applied to the virtual memory and its emotional reactions are simulated.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.525-531
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• 2009

Data mining is the process of extracting hidden patterns from collected data. At this time, for collected data which take important role as the basic information for prediction and recommendation, the process to discriminate incorrect data in order to enhance the performance of analysis result, is needed. The existing methods to discriminate unexpected data from collected data, mainly relies on methods which are based on statistics or simple distance between data. However, for these methods, the problematic point that even meaningful data could be excluded from analysis due that the environment and characteristic of the relevant data are not considered, exists. This study proposes a method to endow human heuristic knowledge with weight value through the comparison between collected data and human heuristic knowledge, and to use the value for creating a decision tree. The data discrimination by the method proposed is more credible as human knowledge is reflected in the created tree. The validity of the proposed method is verified through an experiment.

• Journal of the Korean earth science society
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• v.28 no.6
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• pp.673-685
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• 2007

The purpose of this study was to investigate Earth Systems Understandings (Mayer, 1991) and Earth Systems meaning generation reported by science-talented students who participated in a geological field trip. The eight (4 female and 4 male students) field trip reports were randomly selected among all the reports written by twenty eighth-grade students who joined Shiwha-Lake field trip in Korea. The three-step program, including preparation, field trip, and summary, was provided to the students in order to facilitate meaningful learning through outdoor teaming activities. Seven Earth Systems Understandings and thematic types (Keys, 1999) were used to analyze the reports. The results of this study indicated thai aesthetic views and stewardship toward the Earth, which were the most distinguishing characteristics in Earth Systems Education, were reflected on most of the reports. The results also showed that the students tried to represent their understandings in such a type as meaning extension, meaning enhancement, or meaning elaboration. Overall, many students used 'knowledge-telling' process with a long list of observations and facts, whereas a few students used higher-order 'knowledge-transforming' process by coordinating their findings with interpretations and reasoning in their writings.