• Magazine of the Korean Society of Agricultural Engineers
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• v.45 no.6
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• pp.183-193
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• 2003

Most construction works on the soft ground adopt instrumentation to manage settlement and stability of the embankment. The rapid progress of the information technologies and the digital data acquisition on the soft ground instrumentation has led to the fast-growing amount of data. Although valuable information about the behaviour of the soft ground may be hiding behind the data, most of the data are used restrictedly only for the management of settlement and stability. One of the critical issues on soft ground instrumentation is the long-term settlement prediction. Some observational settlement analysis methods are used for this purpose. But the reliability of the analysis results is remained in vague. The knowledge could be discovered from a large volume of experiences on the observational settlement analysis. In this article, we present a database to store settlement records and data mining procedure. A large volume of knowledge about observational settlement prediction were collected from the database by applying the filtering algorithm and knowledge discovery algorithm. Statistical analysis revealed that the reliability of observational settlement analysis depends on stay duration and estimated degree of consolidation.

• Journal of the military operations research society of Korea
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• v.26 no.2
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• pp.55-74
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• 2000

A knowledge-based with production rules is a representation of static knowledge of an expert. On the other hand, a real system such as the stock market is dynamic in nature. Therefore we need a method to reflect the dynamic nature of a system when we make inferences with a knowledge-based system. This paper suggests a strategy of dynamic inference that can be used to take into account the dynamic behavior of decision-making with the knowledge-based system consisted of fuzzy production rules. A degree of match(DM) between actual input information and a condition of a rule is represented by a value [0,1]. Weights of relative importance of attributes in a rule are obtained by the AHP(Analytic Hierarchy Process) method. Then these weights are applied as exponents for the DM, and the DMs in a rule are combined, with the Min operator, into a single DM for the rule. In this way, the importance of attributes of a rule, which can be changed from time to time, can be reflected in an inference with fuzzy production systems.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.83-88
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• 2004

The purpose of this research is to explore the possible relationship between the successful implementation of knowledge management technology and specific organizational culture orientations. Data used to test hypothesis derived for this research were obtained from 227 responders from the Organizational Culture Profile (OCP) survey instruments and 67 responders from the Knowledge Management Technology Profile (KMTP) survey instruments representing 26 separate organizations. The OCP provides a profile of an organization's culture orientation while the KMTP provides a profile of the organization's degree of the KM technology implementation success. The results of this research suggests that employees of organization which are more successful in implementing KM technology have identified organizational culture that embodies a healthy mixture of both production-oriented and people-oriented attributes indicative of the [9,9] culture orientation.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1991.10a
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• pp.51-65
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• 1991

This paper describes computer-integrated manufacturing (CIM) systems as strategic information systems for business which play an important role in accelerating the speed of business, and develops a measure showing a degree of business tendency to be CIM which enables the business to check on its present status as far as CIM is concerned. It is well known that the productivity of knowledge workers is lower than that of other workers. Nowadays, a great deal of effort goes into the productivity improvement of knowledge workers. In this respect, this paper also develops a quantitative model for the productivity of knowledge workers. Finally, this paper deals with following four steps which our small business should follow through its process of CIM: [Step 1] Using expert knowledge; [Step 2] Invention of technological information; [Step 3] Feedback of factory information to the management; and, [Step 4] Accelerating the speed of business.

• Journal of Korean Elementary Science Education
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• v.25 no.3
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• pp.257-270
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• 2006

The purpose of this study was to develop elementary students' ability to generate hypothesis knowledge through knowledge generation learning in science. The learning program consisted of a series of 28 activities to generate hypotheses in science. Eighty 6th grade students participated in the study and were divided into experimental and control groups. The experimental group was administered a program geared towards hypothesis generation learning and the control group was administered a program aimed at hypothesis expository learning in elementary science. After using the respective programs, subjects in both groups were tested in terms of their abilities in abductive knowledge generation and administered a descriptive self-report regarding their generation of hypotheses. Two of the 28 activity program worksheets in the experimental group were analyzed in terms of the quality and process of students' hypothesis generation. The results were as follows: 1) The experimental group showed significantly higher scores in terms of scientific knowledge generation (i.e. abductive knowledge generation) than the control group. 2) The degree of hypothesis explanation in the experimental group was significantly higher than in the control group in terms of the quality of the generated hypotheses. In addition, students in the experimental group generated more varied and valid knowledge than the control group in terms of sub-knowledge of hypothesis generation. Therefore, it can be argued that this program for hypothesis knowledge generation in elementary science students was effective in the generation of hypothesis knowledge.

• Journal of the East Asian Society of Dietary Life
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• v.6 no.3
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• pp.435-444
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• 1996

This study was designed to observe the degree of dietary llife, nutritional knowledge and health condition in the elementary student. The subject of this study is 5th grade students of elementary school that provided meals and not. The results of this \ulcorner요 are summarized as follows. \circled1 The dietary life of subjects is relatively regulat and they took Korean style as meals. \circled2 The nutritional knowledge of subjects was not significantly different between providing school meal and non-providing school meal. \circled3 The phsical condition of students with non providing school meal was significantly better than providing school meal. \circled4 In the mental condition of subjects they were not significant difference between providing school meal and non-providing school meal. It is necessary to develop the nutrition education program to recognize the importance of nutrition and health.

• Journal of Information Technology Applications and Management
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• v.11 no.3
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• pp.137-145
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• 2004

The purpose of this research is to explore the possible relationship between the successful implementation of knowledge management technology and specific organizational culture orientations. Data used to test hypothesis derived for this research were obtained from 227 responders from the Organizational Culture Profile (OCP) survey instruments and 67 responders from the Knowledge Management Technology Profile (KMTP) survey instruments representing 26 separate organizations. The OCP provides a profile of an organization's culture orientations while the KMTP provides a profile of the organization's degree of the KM technology implementation success. The results of this research suggests that employees of organization which are more successful in implementing KM technology have identified organizational cultures that embody a healthy mixture of both production-oriented and people-oriented attributes indicative of the culture orientation.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.694-698
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• 2004

In this paper, as one of these efforts for making the intelligent data mining system we propose the Associative frame of the memory according to the following three steps. First,the structured frame for performing the main brain function should be made. In this frame, the concepts of learning memory and episode memory are considered. Second,the learning mechanism for data acquisition and storing mechanism in the memory frame are provided. The obtained data are arranged and stored in the memory following the rules of the structured memory frame. Third, it is the last step of processing the inference and knowledge retrieval function using the stored knowledge in the associative memory frame. This system is applied to the area for estimating the purchasing degree from the type of customer's tastes, the pattern of commodities and the evaluation of a company.

• English Language & Literature Teaching
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• v.15 no.3
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• pp.199-222
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• 2009

As great attention is given to a high quality of English education in Korea, more and more in-service and pre-service English teachers are looking for an opportunity to study in an English speaking country to become better qualified teachers. However, after receiving a degree in an English speaking country, many teachers fail to apply what they have learned to their own teaching due to their tensions of identity, beliefs, knowledge, and professionalism within the changes of sociocultural settings. By using sociocultural theory as a theoretical framework, this paper explores how formal training and Ph.D. studies in the U.S. have influenced a Korean teacher educator in applying theory to practice in relation to her identity, beliefs, knowledge, and professionalism during 30 years of her teaching experience. Rather than facing tensions, the teacher educator has been willing to change her roles, broaden and deepen her beliefs in teaching and knowledge about theory of teaching and learning, and continue her professional development. Limitations and implications of the study are provided.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1121-1124
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• 1993

We propose two-degree-of-freedom fuzzy neural network control systems. It has a hierarchical structure of two sets of control knowledge, thus it is easy to extract and refine fuzzy rules before and after the operation has started, and the number of fuzzy rules is reduced. In addition an example application of automatic vehicle operation is reported and its usefulness is shown simulation.