• Journal of Korean Society for Quality Management
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• v.46 no.2
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• pp.351-374
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• 2018

Purpose: The collective civil complaint problem is considered as important obstructive factor of the nuclear power plant construction project's success and quality. Therefore, this study demonstrate the factors which can affect the settling collective civil complaints, and also suggest the improvement of the resolution. Methods: This study collected the data of Kori Nuclear Power Division staff, local residents and Hanul Nuclear Power Division staff, local residents, and use them for analysis. Results: The results are twofold in the study: First, the 'Situation Recognition' and 'Mutual Cooperation' which are independent variables for solving collective civil complaints have proved to give positive influence on both the nuclear staff and the local residents about the complaint resolution outcome of the dependent variable. Second, the moderation variable 'Expected Benefit' on the influential relationship between the collective civil complaint resolution factor and the civil complaints resolution outcome proved to have a moderating effect only on the nuclear staff. On the other hand, moderation variables 'Time of SOC Business Implementation' and 'Time of Compensation' proved to have a moderating effect only for the local residents. Conclusion: According to the results, the staff have a positive opinion on the benefits of the nuclear power plant construction, while residents feel strongly that they do not get any benefit from the construction despite of tremendous investment and expected benefit in local area. As this results, policy implementation which is superable different understanding is required.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.555-562
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• 2012

This paper presents a hybrid method for improving the recognition performance, which is based on the nonlinear histogram equalization, features extraction, and statistical correlation of images. The nonlinear histogram equalization based on a logistic function is applied to adaptively improve the quality by adjusting the brightness of the image according to its intensity level frequency. The statistical correlation that is measured by the normalized cross-correlation(NCC) coefficient, is applied to rapidly and accurately express the similarity between the images. The local features based on independent component analysis(ICA) that is used to calculate the NCC, is also applied to statistically measure the correct similarity in each images. The proposed method has been applied to the problem for recognizing the 30-face images of 40*50 pixels. The experimental results show that the proposed method has a superior recognition performances to the method without performing the preprocessing, or the methods of conventional and adaptively modified histogram equalization, respectively.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.11
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• pp.163-169
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• 1994

We propose a new learning method of recurrent neural networks as an effort to solve local minima problem. In this method the network with fixed connection weights is run for a given period time under given time-variant external inputs and initial conditions. The weights are changed in the direction that the total error is maximally decreased by using the steepest gradient method. If the obtained error is not sufficiently small even after iterating this procedure, additional feedback connections are introduced. Then, the external input signal is redefined. And we execute experiments on the recognition of Korean spoken digits as an application of the proposed network.

• The Journal of Economics, Marketing and Management
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• v.5 no.4
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• pp.19-28
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• 2017

This study is aiming to suggest baseline date for the establishment of policy alternative to make healthy consumption life of the elderly through investigating and analyzing actual condition of consumption related with the awareness of health functional food such as purchase behavior and consumer's problems about health functional food. Under the assumption that the vitalization of health functional food market will become an important market in the present and in the future, the fundamental marketing information about elder consumers is more important than any other information that is essential for successful marketing to domestic corporations and senior policy experts. In addition, there was a fundamental significance to provide necessary basic data for health promotion of the elderly by offering information about rights and interests of elder consumers who are members of vulnerable social group or right choice of purchasing or intake. The limitations of this study are as follows. First, the subjects were selected who live in Gangwon-do with the age of 60 and over due to the limitation of sampling, and that might be shown local characteristics. Therefore, the study result could not be generalized on behalf of all elderly in Korea and it is difficult to apply the result to more segmented market. To solve this problem, studies containing sampling by regional groups might be needed.

• Journal of Korean Society of Rural Planning
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• v.13 no.3
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• pp.103-110
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• 2007

Land development policy in Korea, characterized by its supply-oriented policy, has driven rapid economic development. However, it has a negative impact on the natural environment across the country. Especially, as the introduction of quashi-farmland system with the deregulation of agricultural land development in the late 1990s, numerous unfavorable landscape features such as road, motels and apartment have emerged in the rural area. As those interfered irreversible rural landscapes have been expanded, the demand for well preserved rural landscapes have been increased. The objectives of this study, thus, is to suggest the mitigations between the land development and conservation of natural landscape. As such, this study examines the recognition of current rural landscape management status through 118 students with two groups of landscape architecture majored (50 people) and non-landscape majored (68). Both group express the negative impression of current rural landscape management system in general and they pointed out the major landscape problems are caused from inappropriate land use. However, in detail those two groups respond differently, for example, the first group selected the damaged landscape is the second cause of the landscape problem, while the other group selected the poorly maintained settlements. Based on the analysis of the survey, this study suggests 3 recommendations in order to improve the sustainable rural landscape as establishing the proper rural land use planning system, building local governments' capacity to actively participate in the rural landscape management, and preparing the landscape management plans considering area distinctive characteristics.

• Journal of Digital Contents Society
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• v.11 no.2
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• pp.265-276
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• 2010

The purpose of this study was to investigate the Korean Local Government's recognition on the educational gap among regions in the filed of adult learning including vocational education and life long-learning. The study also tried to figure out the local government's recognition and infrastructure of e-Learning which is suggested as one of the solutions on the regional gap of educational opportunities and quality. This study took 12 HRD(Human Resources Development) centers funded and operated by the Korean Local Governments except Seoul and Kyong-Gi classified by the metropolitan areas in Korea. As a result, firstly it was found that the local governments had perception on the difference and gap of educational opportunities and quality among regions in the area of adult education. Especially, the perception was relatively more serious on quality than quantity. Secondly, the result showed the large gap among regions on the area of opening educational and training programs, the quality of teachers and tutors, the effectiveness and outcomes of educational programs. Thirdly, they perceived more serious educational gap on face-to-face classes rather than e-Learning in the context of educational methodology. It also revealed that the local governments had relatively better foundations on physical systems than other infrastructures and resources such as human-ware, culture-ware and soft-ware(contents, programs etc.). It was recommended to consider these findings in developing and implementing future educational policies to solve the problem of regional gap on education.

• Journal of The Korean Association For Science Education
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• v.30 no.2
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• pp.192-205
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• 2010

We have investigated the recognition for the gifted science education program of middle school students being educated at the local center for the gifted. We developed a questionnaire that includes items for contents of the program, learning environments, participation attitude, effects of the program and improvements, and consists of it5-point Likert items and related descriptive items. 161 students at the local centers for the gifted responded to the questionnaire. The total score was 3.70 on a 5-point Likert scale. The score of effects of the program was highest, learning environments was the lowest. Most of the students referred that the participation of the programs help their schoolwork because of schoolwork preparations & review, learning the process of the solving problem and principle. On the contrary, difficult contents and long lesson hours interrupted their schoolwork. Students recognized that the programs are mainly composed of students' self-activities and the role of teachers is subsidiary. The programs have a good effect on them to increase interest in science and creative thinking. It is necessary that the program be improved in lesson hours, contents of the program, school facilities, and full service.

• Journal of the Semiconductor & Display Technology
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• v.10 no.2
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• pp.31-38
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• 2011

This paper introduces a video based traffic monitoring system for detecting vehicles and obstacles on the road. To segment moving objects from image sequence, we adopt the background subtraction algorithm based on the local binary patterns (LBP). Recently, LBP based texture analysis techniques are becoming popular tools for various machine vision applications such as face recognition, object classification and so on. In this paper, we adopt an extension of LBP, called the Diagonal LBP (DLBP), to handle the background subtraction problem arise in vision-based autonomous parking systems. It reduces the code length of LBP by half and improves the computation complexity drastically. An edge based shadow removal and blob merging procedure are also applied to the foreground blobs, and a pose estimation technique is utilized for calculating the position and heading angle of the moving object precisely. Experimental results revealed that our system works well for real-time vehicle localization and tracking applications.

• Proceedings of the KIEE Conference
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• 1990.11a
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• pp.460-464
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• 1990

Texture provides an important source of information about the local orientation of visible surfaces. An important task that arises in many computer vision systems is the reconstruction of three-dimensional depth information from two-dimensional images. The surface orientation of texel is classified by the Artificial Neural Network. The classification method to recognize the shape of 3D object with artificial neural network requires less developing time comparing to conventional method. The segmentation problem is assumed to be solved. The surface in view is smooth and is covered with repeated texture elements. In this study, 3D shape reconstruct using interpolation method.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.395-398
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• 1998

In this paper, a method for the improvement of learning speed and convergence rate was proposed applied it to physiological neural structure with the advantages of artificial neural networks and fuzzy theory to physiological neuron structure, To compare the proposed method with conventional the single layer perception algorithm, we applied these algorithms bit parity problem and pattern recognition containing noise. The simulation result indicated that our learning algorithm reduces the possibility of local minima more than the conventional single layer perception does. Furthermore we show that our learning algorithm guarantees the convergence.