• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.27 no.8
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• pp.9-15
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• 2013

With low carbon and green growth as the policy indicator, Korea has been concentrating on a variety of researches and technical development as well as recommending the LED lighting facility as part of Green Energy policy to cope with the environment and energy crisis. While the interest on LED has been increasing, the development of LED is still in its early stage and researches on diverse aspects of LED are not sufficiently implemented. Thus, this paper aimed to get the data that would help the expansion of LED lighting by comparing and analyzing the awareness and knowledge level of the public and experts on LED lighting.

• Journal of the Korean Society of Industry Convergence
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• v.7 no.1
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• pp.13-18
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• 2004

This study investigates actual conditions and awareness of employees female apparel shops within department store in seoul area. Investigating the actual conditions of the lighting indicated that the employees thought that the lighting charged much expenses to them, and the effort to improve the efficiency of current lighting was insufficient for lack of en expert knowledge on the lighting. The average space size of apparel shops were 11.7평, the light source was most frequently used fluorescent lamp and halogen lamp. The illuminance was the most highest nearby wall display(average 1089lx), and nearby hanger(average 1075lx).

• KIEAE Journal
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• v.17 no.3
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• pp.45-50
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• 2017

Purpose: There have been more researches focused on eco-friendly construction practices in order to save energy consumed and these practices have been extensively applied for constructing buildings. However, researches on energy consumption saving and efficiency for hospital facilities have been still insufficient. This research aims to draw factors that affect energy efficiency of hospital buildings through literature reviews and perform an expert-survey using AHP(Analytical Hierarchy Process) method in order to analyze the importances and priorities of these energy efficient factors. Method: Using the AHP method, this paper suggests the importances and priorities of factors to affect energy efficiency in hospital buildings. The survey of experts at a architectural design and a construction management companies was conducted via e-mail and mail. Result: As a result, factors of window and door, insulation, ventilation, and natural lighting turned out relatively important as respectively 0.104, 0.102, 0.101, and 0.095 n the energy efficiency in hospital buildings, while factors of artificial lighting, geothermal, solar heat, and control did unimportant as 0.027, 0.033, 0.043, and 0.053.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.1073-1075
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• 1998

This paper presents the method of parameter estimation of diffusion model for monitoring Demand-Side Management Program. Bass diffusion model was applied in this paper, which has different values according to parameters ; coefficients of innovation, imitation and potential adopters. Though it is very important to estimate three parameter, there are no empirical results in practice. Thus, this paper presents the method of parameter estimation in case of few data with constraints to reduce the possibility of bad estimation. The constraints are empirical results or expert's decision. Case studies show the diffusion curves of high-efficient lighting and also forecasting of the peak value for power demand considering diffusion of high-efficient lighting, the feedback and least-square parameter estimation method used in this paper enable us to evaluate the status and forecasting of the effect of DSM program.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.5
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• pp.863-869
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• 2017

This paper is to enable electrical safety manager to have more objective evaluation on the safety by indicating quantitative values such as life-time and status quotient of daily visual inspection on private electrical equipments. Self-diagnosis table is recommended to apply such a evaluation efficiently according to the characteristics of each electrical equipments, and the managers's determination of the precise inspection, replacement etc. will be also possible through the standard selected by various domestic and foreign data with expert's advise for numerical evaluation. This circumstance will be able to establish the foundation to secure the soundness of electrical equipments.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.10
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• pp.1183-1189
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• 1999

This paper presents the method of parameter estimation of diffusion model for monitoring Demand-Side Management program. Bass diffusion model was applied in this paper, which has different values according to the following parameters; coefficients of innovation, imitation and potential adopters. Though it is very important to estimate three parameters precisely, there has been no empirical way in practice. Thus, this paper presents the method of parameter estimation in case of few data with constraints to reduce the possibility of bad estimation. The constraints can be empirical results or expert's decision. Case studies show the diffusion curves and forecasted values of the peak for the high-efficient lighting. The feedback and nonlinear least-square parameter estimation methods used in this paper enable us to evaluate the status and to predict the effect of DSM program.

• Journal of the Korea Fashion and Costume Design Association
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• v.4 no.2
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• pp.31-45
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• 2002

The purpose of this study was designed to investigate if self-monitoring variable among various individual trait theories and demographic variable would be variables which can explain about the importance differences of consumer service level of retailing in the garment product. The survey was conducted from Feb, 6 to 16, 2002. For this survey, the 118 data were analysed with spss window 9.0 version and Cronbach's, Factor analysis, one-way ANOVA, Duncan test, Frequency, mean, percentage were applied. The results of this study were as follows; 1. Consumer service was classified in attitude/confidence/expert knowledge of salesperson, product display, product information, product assortment, shopping environment, lighting setup. 2. As a result of analyzing the importance differences per consumer service dimension depending on self-monitoring levels, it was not significant differences. 3. As a result of analyzing the importance differences per consumer service dimension depending on demographic variables, it was not significant differences.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1699-1704
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• 2009

If detected early enough, cervical cantor may have a good survival rate due to its preneoplastic state. However, the process is so time consuming that a medical expert can handle only a small amount of such examinations. In this paper, we propose a new nucleus extraction algorithm for uterine cervical pap smears in order to mitigate such burdens of medical experts. In the preneoplastic state cytodiagnosis images, it is important to differentiate three main areas - background, cytoplasm and nucleus. Thus, we apply lighting compensation and $3{\times}3$ mask of B channel in order to restore damaged image and remove noises respectively. The cell object is obtained from those clean binarized images with Grossfire algorithm. When there are clusters of cells, the target nucleus can be obtained with repetitive binarization of R channel brightness. In our experiment of using uterine cervical pap smears of 400 magnifications that is common in the diagnostic cytology, our method is able to extract 40 nucleus out of 45 population successfully.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.773-779
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• 1996

Dried oak mushroom have complex and various visual features. Grading and sorting of dried oak mushrooms has been done by the human expert. Though actions involved in human grading looked simple, a decision making underneath the simple action comes from the result of the complex neural processing of the visual image. Through processing details involved in human visual recognition has not been fully investigated yet, it might say human can recognize objects via one of three ways such as extracting specific features or just image itself without extracting those features or in a combined manner. In most cases, extracting some special quantitative features from the camera image requires complex algorithms and processing of the gray level image requires the heavy computing load. This fact can be worse especially in dealing with nonuniform, irregular and fuzzy shaped agricultural products, resulting in poor performance because of the sensitiveness to the crisp criteria or specific ules set up by algorithms. Also restriction of the real time processing often forces to use binary segmentation but in that case some important information of the object can be lost. In this paper, the neuro net based real time recognition algorithm was proposed without extracting any visual feature but using only the directly captured raw gray images. Specially formated adaptable size of grids was proposed for the network input. The compensation of illumination was also done to accomodate the variable lighting environment. The proposed grading scheme showed very successful results.

• KIEAE Journal
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• v.16 no.3
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• pp.47-55
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• 2016

Purpose: This study was aimed at providing the basic checklist as a means to assess the crime risk in physical environment of the pedestrian passage at residential area. Method: For this purpose, the preliminary checklists were selected according to the review of the precedent studies of checklists in exterior pedestrian passage. The usefulness and the importance of the preliminary checklists were analyzed through the seven expert group meetings, the 87 questionnaires survey of the crime experts & the architectural/urban experts, preliminary assessment and field survey. Results: The assessment categories of checklists were sorted into six types, i.e. spatial structure & function, lighting, landscaping, security facilities, other facilities and cleaning & maintenance. The 49 checklists were proposed according to the assessment categories. The final checklists were divided key checklists and general checklists based on the results of experts' weighting of each list item. There were significant differences between crime experts' weighting and architectural/urban experts' weighting in several checklists, i.e. dividing between pavements and streets, the brightness of light, white light.