• Journal of Integrative Natural Science
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• v.13 no.2
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• pp.47-57
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• 2020

The purpose of this study was to understand experiences of successful aging of community-dwelling elderly living in the Korean community using mixed methods. This study is a mixed methods research using convergent parallel design. 483 elderly people living in the 2 cities were selected as subjects to collect quantitative data. For qualitative data collection, 6 elderly people participated. The level of successful aging for elderly people living at home scored an average of 4.30 ± .59 out of 5 points (4.46 ± .64 for self-efficacy, 4.31 ± .65 for good self-control, 4.29 ± .70 for satisfaction with children's success, and 4.26 ± .61 for partnership with spouses). The main themes of successful aging derived by interview were as follows: 1) fulfill responsibilities of raising children as parents, 2) establish a stable life to overcome difficulties, 3) accept the body being different from the past, and 4) live in harmony with people around them. Based on these results, it is necessary to provide useful health care services that can be used in the local community and to provide service utilization information through various routes in order to achieve a successful aging.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 2003.08a
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• pp.208-215
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• 2003

Convective-diffusion equations appear in various disciplines such as hydrology, chemical engineering and oceanography dealing with the transport problem of scalar quantities. Since it is nonlinear, numerical methods are generally used to obtain its solution. Very limited number of analytical solutions are available usually in cases when the convective velocity is constant or has a simple functional form (for some collection of the solutions, see Noye, 1987). There is however a continuing need to develop analytical solutions because of its practical importance. Analytical solutions of the convection-diffusion equation are valuable not only for the better understanding on the transport process but the verification of numerical schemes. (omitted)

• Journal of Environmental Science International
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• v.29 no.11
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• pp.1099-1108
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• 2020

In this study, the capacity of supplying agricultural water to 13 districts was analyzed by calculating the necessary water supply for the arable land of Gunwi-gun and examining the capacity of supplying water to reservoirs, streams, pumping stations, collection sites, and groundwater wells in Gunwi-gun. As a result, among the 13 districts the second district was found to be short of water by 1.2×10⁶ tons/year. In general, local governments establish drought measures by selecting drought disaster risk zones. While selecting drought-risk areas, some water-poor areas that do not have water sources should be selected, even if the entire area has a sufficient water supply. The water-supply evaluation at the regional level was insufficient for locating areas without water sources, but most areas with water sources, such as streams, reservoirs, and pumping stations, were found to have no shortage of water. To locate water shortage areas without water sources, GIS analysis conducted a field survey of areas with a distance of 4 or less than that of water sources analyzed by GIS analysis. Sixty-nine sites in 13 districts were selected for the on-site survey and six areas of water shortage were identified in areas other than the second district.

• Korea Journal of Hospital Management
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• v.20 no.2
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• pp.28-38
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• 2015

This study was conducted by extending Ajzen's Theory of Planned Behavior(TPB) model in analyzing physician's observance behavior of National Health Insurance review standards. An extended TPB model was proposed by including 'background knowledge'and 'dorganizational commitment'in original model to predict physician's review standards observance behavior. Surveys for data collection were carried out on the physicians who were working in a general hospital, clinics, specialized hospitals, local medical centers and long term care hospitals located in Daegu and Kyoung-Buk province in Korea. Two hundreds twenty copies of questionnaires were distributed and 166 physicians responded. Data were analyzed using a structural equation model. The results show that an affirmative attitude and subjective norms have significant positive effects on physicians' behavior of observing review standards. However, the effect of perceived behavioral control on intention to behavior is not significant. The organizational commitment and background knowledge have a positive effect on the intention of observance of review standards. In conclusion, because physician's observance behaviors are affected by background knowledge and organizational commitment as well as attitudes, subjective norms, hospital managements should establish a communication system to share information on the review standards among physicians and provide appropriate measures to increase physician's organizational commitment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.120-125
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• 2002

The aim of this paper is to present suitable and applicable aspects for domestic and foreign conditions and strategies for modernizing a realizable communications network based on local characteristics in North Korea. Thus, the selection of an objective area, the collection of data, the analysis of characteristics of objective area, the prediction of demand and traffic and the establishment of methods for modernizing a synthetic communications network are necessary. But because a general communications inflation in North Korea is placed under primary stage, it is impossible to consider all things mentioned above. Therefore, in this paper, it is considered only basic strategies for modernizing communications network and established a structure of a conceptual communications network in the goal year.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.4A
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• pp.399-414
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• 2004

In this paper, an evolution of software reliability engineering in a large-scale software project is summarized. The considered software consists of many components, called functional blocks in software of switching system. These functional blocks are served as the unit of coding and test, and the software is continuously updated by adding new functional blocks. We are mainly concerned with the analysis of the effects of these software components in software reliability and reliability evolution. We analyze the static characteristics of the software related to software reliability using collected failure data during system test. We also discussed a pattern which represents a local and global growth of the software reliability as version evolves. To find the pattern of system software, we apply the S-shaped model to a collection of failure data sets of each evolutionary version and the Goel-Okumoto(G-O) model to a grouped overall failure data set. We expect this pattern analysis will be helpful to plan and manage necessary human/resources fur a new similar software project which is developed under the same developing circumstances by estimating the total software failures with respect to its size and time.

• Journal of the Korean Solar Energy Society
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• v.27 no.1
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• pp.19-27
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• 2007

The Data quality management system(DQMS) organizes and helps manage and process time sequence data usually collected in monitoring networks and programs. DQMS places particular emphasis on data qualify while maintaining a highly organized and convenient structure for data. It operates with in a flexible and powerful commercial relational data base environment which can readily link to other software platforms from local spreadsheets to network server. The Korea Institute of Energy Research(KIER) has been solar radiation data since May, 1991 for 16 different locations. KIER's new data is expected to be extensively used by designer and researchers of solar systems in lieu of unreliable old ones. Unfortunately, the quality of the data has not always been properly mentioned. The purpose of this study is to systematically identify errors in such data set using DQMS in an effort to rehabilitate error-ridden old data. DET successfully uncovered solar radiation data that had questionable quality.

• The Research Journal of the Costume Culture
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• v.19 no.1
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• pp.71-82
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• 2011

This paper examined the kinds and characteristics of leather and also analyzed the expression techniques and characteristics of leather in contemporary fashion. The objective of this study lies in re-interpreting the current location of leather in contemporary fashion design, enlarging unlimited potential expression fields of leather, and at the same time, helping create new viewpoints and expression types of leather. For this purpose, this paper examined the kinds and characteristics of leather through the existing literatures, and it also carried out positive analysis of the expression techniques and characteristics of leather clothes through local and foreign fashion magazines and collection papers, such as Gap, Vogue, and Mode & Mode, focusing on the works presented in the fashion collections after 2000. Leather in contemporary fashion is expressed in different colors through dyeing. Through various expression techniques such as wrinkles, ruffle, stitch, embossing, quilting, patchwork, holing, nailing, cutting, laser cutting, fringe, weaving, printing, and collage, leather breaks the fixed ideas of itself and further, it makes the images of fashion design affluent. Leather clothes, which are made through various expression techniques, have some characteristics. First, leather clothes emphasize women's voluptuous beauty. Second, leather clothes create a decorative effect through mixture of materials and various expression techniques. Third, through the feel of materials and the emphasis of shapes, primitive beauty is expressed.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.8
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• pp.551-560
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• 2004

In this paper, we propose a new architecture of Self-Organizing Fuzzy Polynomial Neural Networks (SOFPNN) that is based on a genetically optimized multilayer perceptron with fuzzy polynomial neurons (FPNs) and discuss its comprehensive design methodology involving mechanisms of genetic optimization, especially genetic algorithms (GAs). The proposed SOFPNN gives rise to a structurally optimized structure and comes with a substantial level of flexibility in comparison to the one we encounter in conventional SOFPNNs. The design procedure applied in the construction of each layer of a SOFPNN deals with its structural optimization involving the selection of preferred nodes (or FPNs) with specific local characteristics (such as the number of input variables, the order of the polynomial of the consequent part of fuzzy rules, and a collection of the specific subset of input variables) and addresses specific aspects of parametric optimization. Through the consecutive process of such structural and parametric optimization, an optimized and flexible fuzzy neural network is generated in a dynamic fashion. To evaluate the performance of the genetically optimized SOFPNN, the model is experimented with using two time series data(gas furnace and chaotic time series), A comparative analysis reveals that the proposed SOFPNN exhibits higher accuracy and superb predictive capability in comparison to some previous models available in the literatures.

• Industrial Engineering and Management Systems
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• v.10 no.4
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• pp.272-278
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• 2011

Decision tree as a classification tool is being used successfully in many areas such as medical diagnosis, customer churn prediction, signal detection and so on. The main advantage of decision tree classifiers is their capability to break down a complex structure into a collection of simpler structures, thus providing a solution that is easy to interpret. Since decision tree is a top-down algorithm using a divide and conquer induction process, there is a risk of reaching a local optimal solution. This paper proposes a procedure of optimally determining thresholds of the chosen variables for a decision tree using an adaptive particle swarm optimization (APSO). The proposed algorithm consists of two phases. First, we construct a decision tree and choose the relevant variables. Second, we find the optimum thresholds simultaneously using an APSO for those selected variables. To validate the proposed algorithm, several artificial and real datasets are used. We compare our results with the original CART results and show that the proposed algorithm is promising for improving prediction accuracy.