• Journal of Distribution Science
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• v.11 no.4
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• pp.23-35
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• 2013

Purpose - This paper attempts to identify the problems and limitations of a market maintenance project conducted according to the 「Special Act for the Development of Traditional Markets and Shopping Street」 and to present a revised direction for the special law and lay the groundwork for market maintenance projects to be promoted smoothly. Research design, data, and methodology - The revised direction for the legislation and the proposal were written based on an investigation of the problems and the legal system, and proposed measures for market maintenance operation and system improvements to derive the improvements needed for market maintenance projects. Results - A market maintenance project has been conducted as a means to reinvigorate traditional markets that are economically depressed, and to revive the local economy. It was largely conducted in the form of reconstruction and redevelopment and represents the interests of landowners and merchants. Thus, it is most likely to contribute to the gradual disappearance of traditional markets. First, as part of a market maintenance project, many companies are building multipurpose buildings or high-rise residential buildings to increase profits. In these high-rise buildings, they can raise rents, which may not be affordable for some existing small businesses. To solve such problems, the large-scale store registration requirement needs to be relaxed or abolished once the market maintenance project is completed. If the large-scale store registration requirement is to be abolished, the term 'large retail store' should be changed in the 「Special Act for the Development of Traditional Markets and Shopping Street」. After registration, the Small and Medium Business Administration should train merchants, offer consultations, and support events, to the extent that the existing traditional market management modernization project permits, and further continue to manage and support its ongoing activities. However, unless large-scale store registration is abolished, adding an exception clause in the special law to relax large-scale store registration criteria, and permitting changes to building use is another option. At the end of a market maintenance project, empty stores should be purchased by the Small and Medium Business Administration, and local government, etc., at the actual construction cost, to utilize them as public rental shopping areas, which in turn may be re-utilized as a temporary market for another market maintenance project. The second problem in market maintenance projects is merchant-protection. Currently, the special law prescribes that a temporary market be created for merchants to conduct business during the rental period of a market maintenance project. Conclusions - In reality, a market maintenance project is conducted usually in big metropolitan cities with 500,000 residents or more. The main building type created under these projects is a multipurpose building. For this reason, it is very difficult to secure a location for a temporary market in the surrounding area of such a project. To solve this problem, this study suggests 'public rental shopping areas' as mentioned above.

• Journal of Christian Education in Korea
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• v.62
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• pp.135-160
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• 2020

This study closely analyzed the curriculum of the Christian Education Counseling Department and the general Education Counseling Department, and found the current status and problems of the curriculum of the Christian Education Counseling Department and the general Education Counsel Department. This study presented a balanced curriculum of the Christian Education Counseling Department with above analysis. For this purpose, the analysis focused on the educational operation process of Christian education counseling departments and general education counseling departments, such as educational goals, subjects, and counseling practical training. The Christian Education Counseling Department and the general Education Counseling Department are often combined with departments such as Christian Education, Youth, Children and Youth, and Lifelong Education, with the characteristics of convergence majors, so the basic subjects of the department were analyzed to have a higher percentage of subjects than counseling subjects. The results of the analysis showed that both departments lacked a considerable number of subjects related to counseling practical training. In the counseling course, the subjects of personal analysis, education analysis, counseling ethics, and counseling case super-vision for the professional development of counselors are still lacking, according to the analysis. In order to train counselors, it was analyzed that the system of systematic clinical practice system, various counseling analysis for counselor education, and the expansion of super vision subjects were urgently needed. In a modern society where the demand for counseling and the need for counseling experts are increasing as society becomes more complex, it is hoped that Korean universities will be able to actively contribute and cooperate in developing models of counseling education and training counseling experts through them, focusing on standardized indicators for fostering counselors.

• Journal of the Korean Society for Railway
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• v.20 no.2
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• pp.234-240
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• 2017

In this study, the influences of rail surface roughness on dynamic wheel-rail forces currently employed in conventional lines were assessed by performing field measurements according to grinding of rail surface roughness. The influence of the grinding effect was evaluated using a previous empirical prediction model for dynamic wheel-rail forces; model includes first-order derivatives of QI (Quality Index) and vehicle velocity. The theoretical dynamic wheel-rail force determined using the previous prediction equation was analyzed using the QI, which decreased due to rail grinding as determined through field measurements. At a constant track support stiffness, an increase in the QI caused an increase in dynamic wheel-rail forces. Further, it can be inferred that the results of dynamic wheel-rail analysis obtained using the measured data, such as the variation of QI due to rail grinding, can be used to predict the peak dynamic forces. Therefore, it is obvious that the optimum amount of rail grinding can be determined by considering the QI, that was regarding an operation characteristics of the target track (vehicle velocity and wheel load).

• Journal of Korea Water Resources Association
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• v.36 no.2
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• pp.195-209
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• 2003

Spatial-Stochastic Neural Networks Model(SSNNM) is used to estimate long-term streamflow in the parallel reservoir groups. SSNNM employs two kinds of backpropagation algorithms, based on LMBP and BFGS-QNBP separately. SSNNM has three layers, input, hidden, and output layer, in the structure and network configuration consists of 8-8-2 nodes one by one. Nodes in input layer are composed of streamflow, precipitation, pan evaporation, and temperature with the monthly average values collected from Andong and Imha reservoir. But some temporal differences apparently exist in their time series. For the SSNNM training procedure, the training sets in input layer are generated by the PARMA(1,1) stochastic model and they covers insufficient time series. Generated data series are used to train SSNNM and the model parameters, optimal connection weights and biases, are estimated during training procedure. They are applied to evaluate model validation using observed data sets. In this study, the new approaches give outstanding results by the comparison of statistical analysis and hydrographs in the model validation. SSNNM will help to manage and control water distribution and give basic data to develop long-term coupled operation system in parallel reservoir groups of the Upper Nakdong River.

• Convergence Security Journal
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• v.11 no.5
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• pp.89-98
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• 2011

The counter-terrorism in Korea should be approached practically divided both internally and externally. However, in reality it is impossible for the military and the police to control all the counter-terrorism. So there is a need of precaution using the partnership with private companies. But the military and the police have stressed the conservative and closed operation. Furthermore, the focus of counter-terrorism in Korea is more on expose facto treatment than prevention, so they are almost the defenseless. In order to solve this problem, we should form the private subcontractors of the counter-terrorism experts. That is the introduction and the application of PMSCs system. First, the military and the police need to change its mind set for the partnership with private companies to prepare appropriateness. Second, it should be built up infrastructure to let the hands-up workers on counter-terrorism out place. Third, it should be set up the institutions of learning to train regularly to applicate PMSCs system and to specialize. Fourth, the training of counter-terrorism should be made it mandatory about exit passengers to danger zone. Fifth, the selection of PMSCs suitable for counter-terrorism should be strict.

• Journal of Information Management
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• v.39 no.2
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• pp.45-74
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• 2008

The purpose of this study was to promote the understanding of laboratory notebook's record characteristics through getting a line on the importance of the notebooks which have record, information, communication, and proof functions. To improve the research ethics and cultures, this study was examined and investigated by literature references and survey results. This study analyzed the status of the notebooks in part of laboratory information system of the R&D institutes, paper notebooks for laboratory records management, and the introduction of ELN for digital record. For the notebook's institutionalization, more review is needed to the possibility of involvement in the conflict, evidential requisite and signature by inspector, the limitation of autonomous policy for the notebook's operation, the difficulty of preservation for 30 years, the introduction of ELN and utilization for the notebooks. To improve management and institutionalization for the notebooks, it is needed to the notebook's record for knowledge management and evidential values, support and budget for the notebook's management department, researcher's recognition conversion for the notebooks related to the intellectual property and technology transference, the record method train for the notebooks from the university classes, and the introduction of ELN related to the laboratory information management system or project management system.

• The Transactions of the Korea Information Processing Society
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• v.4 no.10
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• pp.2461-2469
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• 1997

Target detection and recognition problems, in which neural networks are widely used, require translation invariant and real-time processing in addition to the requirements that general pattern recognition problems need. This paper presents a novel architecture that meets the requirements and explains effective methodology to train the network. The proposed neural network is an architectural extension of the shared-weight neural network that is composed of the feature extraction stage followed by the pattern recognition stage. Its feature extraction stage performs correlational operation on the input with a weight kernel, and the entire neural network can be considered a nonlinear correlation filter. Therefore, the output of the proposed neural network is correlational plane with peak values at the location of the target. The architecture of this neural network is suitable for implementing with parallel or distributed computers, and this fact allows the application to the problems which require realtime processing. Net training methodology to overcome the problem caused by unbalance of the number of targets and non-targets is also introduced. To verify the performance, the proposed network is applied to detection and recognition problem of a specific automobile driving around in a parking lot. The results show no false alarms and fast processing enough to track a target that moves as fast as about 190 km per hour.

• Journal of Environmental Health Sciences
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• v.47 no.5
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• pp.410-424
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• 2021

Background: Subway stations have the characteristics of being located underground and are a representative public-use facility used by an unspecified number of people. As concerns about indoor air quality (IAQ) increase, various management measures are being implemented. However, there are few systematic studies and cases of long-term continuous measurement of underground station air quality. Objectives: The purpose of this study is to analyze changes and factors influencing IAQ in subway stations through real-time continuous long-term measurement using IoT-based IAQ sensing equipment, and to evaluate the IAQ improvement effect of a bio-filter system. Methods: The IAQ of a subway station in Seoul was measured using IoT-based sensing equipment. A bio-filter system was installed after collecting the background concentrations for about five months. Based on the data collected over about 21 months, changes in indoor air quality and influencing factors were analyzed and the reduction effect of the bio-filter system was evaluated. Results: As a result of the analysis, PM₁₀, PM_2.5, and CO₂ increased during rush hour according to the change in the number of passengers, and PM₁₀ and PM_2.5 concentrations were high when a PM warning/watch was issued. There was an effect of improving IAQ with the installation of the bio-filter system. The reduction rate of a new-bio-filter system with improved efficiency was higher than that of the existing bio-filter system. Factors affecting PM_2.5 in the subway station were the outdoor PM_2.5, platform PM_2.5, and the number of passengers. Conclusions: The IAQ in a subway station is affected by passengers, ventilation through the air supply and exhaust, and the spread of particulate matter generated by train operation. Based on these results, it is expected that IAQ can be efficiently improved if a bio-filter system with improved efficiency is developed in consideration of the factors affecting IAQ and proper placement.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.3
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• pp.419-432
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• 2019

Most of deep learning model training was proceeded by supervised learning, which is to train labeling data composed by inputs and corresponding outputs. Labeling data was directly generated manually, so labeling accuracy of data is relatively high. However, it requires heavy efforts in securing data because of cost and time. Additionally, the main goal of supervised learning is to improve detection performance for 'True Positive' data but not to reduce occurrence of 'False Positive' data. In this paper, the occurrence of unpredictable 'False Positive' appears by trained modes with labeling data and 'True Positive' data in monitoring of deep learning-based CCTV accident detection system, which is under operation at a tunnel monitoring center. Those types of 'False Positive' to 'fire' or 'person' objects were frequently taking place for lights of working vehicle, reflecting sunlight at tunnel entrance, long black feature which occurs to the part of lane or car, etc. To solve this problem, a deep learning model was developed by simultaneously training the 'False Positive' data generated in the field and the labeling data. As a result, in comparison with the model that was trained only by the existing labeling data, the re-inference performance with respect to the labeling data was improved. In addition, re-inference of the 'False Positive' data shows that the number of 'False Positive' for the persons were more reduced in case of training model including many 'False Positive' data. By training of the 'False Positive' data, the capability of field application of the deep learning model was improved automatically.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1172-1179
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• 2020

With the establishment of the railway integrated radio network (LTE-R) environment, radio-based train control transmission and reception and various forms of service are provided. The smooth delivery of these services requires improved performance in a highly reliable and available wireless environment. This paper measured the LTE-R radio communication environment to improve radio communication performance of railway integrated wireless network reliability and availability, analyzed the results, and established the wireless environment model. Based on the built-up model, we also proposed an improved radio-access algorithm to control trains for improved reliability, suggesting a way to improve stability for handover that occur during open-air operation, and proposed an algorithm for frequency auto-heating to improve availability. For simulation, data were collected from the Korea Rail Network Authority (Daejeon), Manjong-Gangneung KTX route, which can measure the actual data of LTE-R wireless environment, and the results of the simulation show performance improvement through algorithm.