• Journal of Korean Society on Water Environment
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• v.32 no.6
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• pp.511-519
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• 2016

National Institute of Environmental Research (NIER) has developed the Korean Reach File (KRF) for scientific and systematic analysis of variables related to water quality, pollutant sources and aquatic ecosystems in consideration of steam reach networks. The KRF provides a new framework for data production, storage, management and analysis for water related variables in relation to spatial characteristics, connections, and topologies of stream reaches. However, the current version of KRF (ver.2) has limited applicability because its nodes include not only the stream points based on topological characteristics but also those based on water quality monitoring stations, which may undermine its generality. In this study, a new version of KRF (ver.3) was designed and established to overcome the weak point of version 2. The version 3 is a generalization of the old KRF graphic data and it integrates the attribute data while separating it from the graphic data to minimize additional work that is needed for data association and search. We tested the KRF (ver.3) on actual cases and convenience and adaptability for each application was verified. Further research should focus on developing a database link model and real-world applications that are targeted to process event data.

• Journal of Home Health Care Nursing
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• v.12 no.1
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• pp.117-135
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• 2005

Purpose: Expecting a new system of nursing security for elderly in operation in 2007, a substantial expansion of nursing facilities for elderly and quality management of those facilities are imperative now. Therefore. specific quality management measures or schemes which could be used for the operation of small-scale nursing homes are in urgent need. The purpose of this study was to develop a Quality Management Index(QMI) to guide Nursing Home management. Method: This study developed a QMI for small-scale nursing homes, which focused on quality management in structural dimensions such as environment, staffs, local community network, atmosphere, and quality management in process dimensions such as nursing, communication, resident satisfaction. The QMI developed in this study is based on extensive review of literature and the actual experiences of nursing home operation. It consists of 7 dimensions, 39 components and 148 indexes, which have been verified by three times validity tests of experts group. Then the QMI was used to evaluate the quality management levels of nursing homes in Korea. Result: In sum, after analyzing all nursing homes in Korea operated by nurses, this study found that there were significant differences of quality management level among facilities in several dimensions such as environment, staffs, local community connections, communication. In dimensions such as nursing, atmosphere, resident satisfaction, however, little differences of quality management level among facilities were reported. It is considered that this result has to do with several factors like the size of facilities, operation expenses, operation forms, the disposition of professional human resources, and philosophy and management policy of the owners. As far as generalization is concerned, however, it needs to be noted here that the sample size for this study is not statistically big enough to generalize the results. Conclusion: Having Developed a QMI for small-scale nursing home with 7 dimensions, 39 components and 148 indexes, this study is expected to be used in developing more elaborated quality evaluation tools for nursing homes, and also function as a practical guide of quality management for those who are opening and managing nursing homes. I hope this quality index could lead to further development of a standardized quality management index, and eventually contribute to quality improvement of nursing homes.

• Korean Journal of Human Ecology
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• v.18 no.4
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• pp.809-824
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• 2009

The purpose of this study is to examine the contents and concept of program for healthy family and provide job opportunity and competency of healthy family supporter. For this research, participants are 51 healthy family supporters as a middle manager. Data were obtained through the survey using a questionnaire developed by the ministry of women and family and headquarter of healthy family support centers in 2007. The research process consists of two parts. One is to suggest their jobs and requirements, the other is to offer their core competency and area for improvement. First, the jobs of healthy family supporters as a middle manager are the generalization of team's work including the planning, management and coordination, training for the staff, and network of social resources. They recognized the planning and management of healthy family support center's goal and course as a strategic job. The requirements for the performance of their duties are having a bachelor's or a master's degree, career more than for 3 years, and a certificate of qualification of healthy family supporters, social worker and family counselor. Second, their competencies are the understanding of education of family life, theory of family counselling, the planning and valuation of program for healthy family, understanding for the variegated family, management of organization, networking with resources, ability of documentation, ability of persuasion and negotiation, management of time, sociality, communication skill, solving the problem, positiveness, cooperative spirit and so on.

• Journal of Biosystems Engineering
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• v.17 no.1
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• pp.65-78
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• 1992

When using a computer vision system for a measurement, the geometrically distorted input image usually restricts the site and size of the measuring window. A geometrically distorted image caused by the image sensing and processing hardware degrades the accuracy of the visual measurement and prohibits the arbitrary selection of the measuring scope. Therefore, an image calibration is inevitable to improve the measuring accuracy. A calibration process is usually done via four steps such as measurement, modeling, parameter estimation, and compensation. In this paper, the efficient error calibration technique of a geometrically distorted input image was developed using a neural network. After calibrating a unit pixel, the distorted image was compensated by training CMLAN(Cerebellar Model Linear Associator Network) without modeling the behavior of any system element. The input/output training pairs for the network was obtained by processing the image of the devised sampled pattern. The generalization property of the network successfully compensates the distortion errors of the untrained arbitrary pixel points on the image space. The error convergence of the trained network with respect to the network control parameters were also presented. The compensated image through the network was then post processed using a simple DDA(Digital Differential Analyzer) to avoid the pixel disconnectivity. The compensation effect was verified using known sized geometric primitives. A way to extract directly a real scaled geometric quantity of the object from the 8-directional chain coding was also devised and coded. Since the developed calibration algorithm does not require any knowledge of modeling system elements and estimating parameters, it can be applied simply to any image processing system. Furthermore, it efficiently enhances the measurement accuracy and allows the arbitrary sizing and locating of the measuring window. The applied and developed algorithms were coded as a menu driven way using MS-C language Ver. 6.0, PC VISION PLUS library functions, and VGA graphic functions.

• Journal of Elementary Mathematics Education in Korea
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• v.14 no.3
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• pp.745-768
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• 2010

The purpose of this study at gifted students' solving ability of the given study task by using all knowledge and tools which encompass mathematical contents and curriculums, and developing the teaching learning materials of gifted students in accordance with their level which tan enhance their mathematical thinking ability and develop creative idea. With these considerations in mind, this paper sought for the standard and procedures of teaching learning materials development according to the levels for the education of the mathematically gifted students. presented the procedure model of material development, produced teaching learning methods according to levels in the task of figurate number, and developed prototypes and examples of teaching learning materials for the mathematically gifted students. Based on the prototype of teaching learning materials for the gifted students in mathematics in accordance with their level, this research developed the materials for students and materials for teachers, and performed the modification and complement of material through the field application and verification. It confirmed various solving processes and mathematical thinking levels by analyzing the figurate number tasks. This result will contribute to solving the study task by using all knowledge and tools of mathematical contents and curriculums that encompass various mathematically gifted students, and provide the direction of the learning contents and teaching learning materials which can promote the development of mathematically gifted students.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.8
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• pp.1071-1079
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• 2018

In this study, the design methodology as well as network architecture of Support Vector Machine based Polynomial Neural Network, which is a kind of the dynamically generated neural networks, is introduced. The Support Vector Machine based polynomial neural networks is given as a novel network architecture redesigned with the aid of polynomial neural networks and Support Vector Machine. The generic polynomial neural networks, whose nodes are made of polynomials, are dynamically generated in each layer-wise. The individual nodes of the support vector machine based polynomial neural networks is constructed as a support vector machine, and the nodes as well as layers of the support vector machine based polynomial neural networks are dynamically generated as like the generation process of the generic polynomial neural networks. Support vector machine is well known as a sort of robust pattern classifiers. In addition, in order to enhance the structural flexibility as well as the classification performance of the proposed classifier, multi-objective particle swarm optimization is used. In other words, the optimization algorithm leads to sequentially successive generation of each layer of support vector based polynomial neural networks. The bench mark data sets are used to demonstrate the pattern classification performance of the proposed classifiers through the comparison of the generalization ability of the proposed classifier with some already studied classifiers.

• Spatial Information Research
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• v.16 no.1
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• pp.145-155
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• 2008

Case study has been criticized far its lack of generalization to the larger population and lack of sampling controls. Some of shortcomings of case study methods may be overcome, by using logically consistent, rigorous, and systematic approaches. Especially, Case study method has been suggested as appropriate for researching a range of GIS implementation, utilization, and diffusion issues. This paper provides examples of how the substance of its requirements may be met in the context of GIS case study. For the successful implementation of GIS, this study suggest that the case study method in GIS appropriate to the study of casual relations in and explication of complex GIS acquisition and adoption process.

• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.37-45
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• 2012

The case of South Korea's Internet newspapers, harmful advertising is illegal but rampant. The children and youth are not protected, so effective measures are urgently required. Therefore, to achieve self-regulation, a discrimination system model using collective intelligence and collective emotions is proposed. This study is to suggest a Discrimination System Model of harmful contents using collective intelligence and collective emotions as the actual program of self-regulation. The Discrimination System model forms the level of harmful contents by using contents, form, text, size as well as the implied and reminiscent story of image as discriminant factors of a group testing. The formed level is established for harmful contents discriminant criteria after going through the process of generalization again. It can be not clear and ambiguous for internet newspaper banner ads to be measure the level of harmfulness. This Discrimination System will have the strengths of resolving this problem.

• Journal of the Korean Chemical Society
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• v.55 no.6
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• pp.1056-1073
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• 2011

The purpose of this study was to develop teaching materials using Pyramid model of divergent thinking, Inverse pyramid model of convergent thinking and Diamond model of divergent-convergent thinking. And the teaching materials was implemented to 120 students in middle school over 10 weeks. Results indicated that the experimental group presented statistically meaningful improvement in creative thinking skills, especially in fluency and flexibility(p<.05). Also the teaching materials contributed to improve critical thinking skills, especially in inquiry process of recognizing problems, making conclusion and generalization(p<.05). Moreover, academic achievement was improved(p<.05). But, there was no significant improvement in creative personality(p<.05).

• Journal of the Korean Society for Railway
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• v.14 no.4
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• pp.354-363
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• 2011

Existing railway bridges have been going through various improvements since the past, with new improvement plans being formed based on social and technological demands. However, there is the need, above all, for an efficient execution plan due to the great number of sites and excessive amount of required expenses contrary to limited assets. The system itself must be held in question in order to systemize various improvement plans, to define and describe factors while utilizing evaluation methods for significance and correlation to achieve generalization. This paper is focused on determining the priority of various improvement plans through the optimization selection process of mutually evaluating alternative plans under various evaluation standards, thus corresponding to the decision-making purpose. The AHP analysis technique was applied for systemization setting and preference evaluation, while the HPT procedure was applied to develop and select appropriate improvement plan factors.