• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.9
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• pp.351-358
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• 2006

In this paper, DSPOCS(Digital Switchgear-Panel Operation and Control Solution) is designed, which is the intelligent inference based operation and control solution to obtain the safety and reliability of electric power supply in substation based on IED. DSPOCS is designed as a scheduled monitoring and control task and a real-time alarm inference task, and is interlinked with BRES(Bus Reconfiguration Expert System) in the required case. The intelligent alarm inference task consists of the alarm knowledge generation part and the real-time pattern matching part. The alarm knowledge generation part generates automatically alarm knowledge from DB saves it in alarm knowledge base. On the other hand, the pattern matching part inferences the real-time event by comparing the real-time event information furnished from IEDs of substation with the patterns of the saved alarm knowledge base.; Especially, alarm knowledge base includes the knowledge patterns related with fault alarm, the overload alarm and the diagnosis alarm. In order to design the database independently in substation structure, busbar is represented as a connectivity node which makes the more generalized graph theory possible. Finally, DSPOCS is implemented in MS Visual $C^{++}$, MFC, the effectiveness and accuracy of the design is verified by simulation study to the typical distribution substation.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.122-127
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• 1998

This paper suggests an integrated method for discovering knowledge from a large database. Our approach applies an attribute-oriented concept hierarchy ascension technique to extract generalized data from actural data in databases, induction of decision trees to measure the value of information, and knowledge reduction of rough set theory to remove dispensable attributes and attribute values. The integrated algorithm first reduce the size of database for the concept generalization, reduces the number of attributes by way of elimination condition attributes which have little influence on decision attribute, and finally induces simplified decision rules removing the dispensable attribute values by analyzing the dependency relationships among the attributes.

• Proceedings of the KIEE Conference
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• 2000.11d
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• pp.672-674
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• 2000

There are various ways in classification methodologies of data mining such as neural networks but the result should be explicit and understandable and the classification rules be short and clear. Rough set theory is a effective technique in extracting knowledge from incomplete and inconsistent information and makes an offer classification and approximation by various attributes with effect. This paper discusses granularity of knowledge for reasoning of uncertain concepts by using generalized rough set approximations based on hierarchical granulation structure and uses hierarchical classification methodology that is more effective technique for classification by applying core to upper level. The consistency rules with minimal attributes is discovered and applied to classifying real data.

• Korean Management Science Review
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• v.23 no.1
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• pp.87-113
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• 2006

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of the firm's competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (R&D and technological knowledge concept, product-process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on those theories, this paper attempts to identify dynamic relationship between product innovation and process innovation by system dynamics, by investigating the aspect of the dynamic changes of the closed feedback circulation structure in which R&D investments drive technological knowledge accumulation, and such knowledge accumulation actualizes product innovation and process innovation, subsequently resulting in the increase of productivity, customer satisfaction, profit generation, and re-investment on R&D from the created profits. This provides the ability to assess the advantages and disadvantages of different technological innovation strategies and commitments, and the opportunity to explore equilibrium point and suggest a generalized technological innovation model under different industry environment parameters and time-strategies.

• Journal of Korean Institute of Industrial Engineers
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• v.18 no.1
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• pp.81-89
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• 1992

After much research on qualitative reasoning, the problem of ambiguities still hampers the practicality of this important AI tool. In this paper, the sources of ambiguities are examined in depth with a systems engineering point of view and possible directions to disambiguation are suggested. This includes some modeling strategies and an architecture of temporal inference for building unambiguous qualitative models of practical complexity. It is argued that knowledge of multiple levels in abstraction hierarchy must be reflected in the modeling to resolve ambiguities by introducing the designer's decisions. The inference engine must be able to integrate two different types of temporal knowledge representation to determine the partial ordering of future events. As an independent quantity management system that supports the suggested modeling approach, LIQUIDS(Linear Quantity-Information Deriving System) is described. The inference scheme can be conjoined with ordinary rule-based reasoning systems and hence generalized into many different domains.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.17 no.2
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• pp.200-208
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• 2010

Purpose: The purpose of this study was to examine the effects of an education program for AIDS prevention on knowledge about AIDS and attitudes towards AIDS/people with AIDS among male-high school students. Methods: A research design used in this study was a randomized and non-synchronized control group pre-and-post test. The participants were 560 male students from five high schools in Seoul and Gyeonggi province. In each school two classes were randomly assigned to each the experimental or control group. The contents of the education program for AIDS prevention consisted of six parts with a total of 50 minutes. The data were analyzed using t-test and chi-square test with SPSS WIN program version 13.0. Results: There were significant differences in knowledge and attitudes between experimental and control groups. The experimental group showed higher scores in knowledge and more positive attitudes than the control group. Conclusion: The education program was effective in increasing positive attitudes towards AIDS/people with AIDS among male high school students. Further application of the program with female students is needed before the results of the study can be generalized.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.1
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• pp.37-45
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• 2011

Purpose: The purpose of this study was to estimate the effects of an infection control program on the Clonorchis sinensis (CS) infection ratio, CS-related knowledge and health behavior of people living near the Geum River. Method: A one-group pretest-posttest design was used with 102 participants. For 12 months the participants were provided with promotion announcements, health education, counseling, and medication. Outcome variables measured were the CS infection ratio by stool examination, CS-related knowledge and health behavior from self-report questionnaires. The pre intervention data were collected from January to February 2008 and the post intervention data during the same period in 2009. Collected data were analyzed using descriptive statistics, generalized estimating equation analysis, and paired t-test with SPSS for Windows version 15.0. Results: In the pre test 21 of the 102 participants showed infection with CS for the first time. In the post test 9 were newly infected with CS, and one was re-infected. The CS-related knowledge was significantly improved after the infection control program (p<0.05). The CS-related health behaviors did not improve. Conclusion: These results showed that an infection control program is effective in decreasing CS infection ratio and improving CS-related knowledge of people living near the river.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.394-398
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• 2022

The article determines that the study of the development of scientific and didactic knowledge about the educational process in higher education should be built mainly on the basis of qualitative research methods that ensure the identification and understanding of the changes taking place in didactic knowledge, in the unity of their internal and external manifestations. On the basis of the epistemological model of the study of science, a generalized model of didactic knowledge about the educational process in higher education, including didactic relations as a theoretical core, subject of research, research methods and positions of researchers, ways of interaction between science and educational practice, and thematic structures of didactic knowledge; scientific and methodological problems of didactic knowledge about the educational process in higher education at the present stage of its developments due to the post-nonclassical transformation and orientation of research towards the humanitarian ideal of scientific character.

• Journal of Preventive Medicine and Public Health
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• v.33 no.3
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• pp.349-363
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• 2000

Objectives : Generally, it seemed that the therapeutic result in diabetic patients was changed by compliance. This study was conducted on the basis of assumption that the therapeutic result id diabetic patients could control according to compliance. This study was conducted to analyze the related factors in association with compliance to drug, diet and exercise therapy. Methods : 224 diabetic patients in Kyungpook National University Hospital were selected through the interviews and HbA1c values from 1 Jan. to 28 Feb.1997. The drug compliance was tested by regularity of drug administration, the diet compliance was tested by restriction of food, exactly allocation, balance of nutrient, measuring food and the exercise compliance was tested by regularity of exercise per day. We assessed compliance by percentage, $x^2-test$ and generalized logit regression model(method:enter). Results : The significant variable was the satisfaction to medical personnels in drug, the knowledge to disease in diet, the participation of the diabetic education in exercise therapy and the satisfaction to medical personnels in HbA1c. Using the generalized logit model(method : enter) in compliance change, the significant variables were the satisfaction to medical personnels and the complication in drug; the significant variables were the age at the first diagnosis, the family history, the concern of health, the knowledge of disease, the self-exertion for therapy and the complication in diet: the only significant variable was the gender in exercise therapy. Conclusions : The degree of glycemic control in diabetic patients was influenced by compliance. In order to improve patient's compliance, we must foster the knowledge on the diseases, lead participation for diabetic education. Because the satisfaction to medical personnels was the important variables, we must build up good relationship between doctors and patients.

• Journal of Communications and Networks
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• v.8 no.3
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• pp.290-296
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• 2006

In this paper, a generalized blind adaptive algorithm is introduced for multi-user detection of direct sequence code division multiple access (OS-COMA) wireless communication systems. The main property of the proposed algorithm is its ability to resolve the multipath fading channel resulting in inter symbol interference (ISI) as well as multiple access interference (MAI). Other remarkable properties are its low complexity and mitigation to the near-far problem as well as its insensitivity to asynchronous transmission. The proposed system is based on the minimization of the output energy and convergence to the minimum mean square error (MMSE) detector. It is blind in the sense that it needs no knowledge of the other users' signatures, only the intended user signature and timing are required. Furthermore, the convergence of the minimum output energy (MOE) detector to the MMSE detector is analytically proven in case of M-ary PSK. Depicted results show that the performance of the generalized system dominates those previously considered. Further improvements are obtained when multiple input multiple output (MIMO) technique is employed.