• Proceedings of the KSR Conference
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• 2011.05a
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• pp.740-744
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• 2011

Precast slab track system(PSTS) is a concrete track laying system where the slab panels are pre-manufactured in factories and assembled and installed on-site. PSTS has been developed for the past 30 years in countries where railway technologies are advanced such as Japan and Germany to improve the various drawbacks of the in-situ concrete slab track. However, the usefulness of PSTS is being continuously approved by many other countries such as China, Taiwan, Austria, Italy, Spain, etc,. Lately, not only Japan and Germany, but also Austria, Italy and China have developed their own PSTS by collaboration between their Governments and private enterprises and are now attempting to expand their businesse soverseas. In accordance to such movement, in 2006, the Korean Railroad Research Institution and Sampyo E&C have developed a Korean PSTS by joint research. PSTS consists of concrete panel, under pouring layer and concrete base layer. Amongst these components, the panel is the main component of PSTS which supports the train load and has a great effect on the track quality, workability and economics. Therefore, a study is to be conducted to select the optimum size for the Panel of the precast slab track system panel by analyzing the various standards & forms, interpretation of finite elements of the selected model and economical analysis.

• Korean Institute of Interior Design Journal
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• v.22 no.6
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• pp.199-211
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• 2013

Indonesia is archipelago country and plural society which consist of diverse ethnic groups. This study select Java island and Java houses as a representative housing of Indonesia. The aim of this study is to present a comprehensive overview of traditional houses of Java in Indonesia by examining pre-existing literature. First, the Java House as a microcosm of the universe that shows universal and religious aspects. Furthermore, each building contains spiritual symbolism. These ideological aspects select the location and layout of the towns, villages and buildings, which create an order to the interior space. The space structure of Java housing is characterized by strong juxtaposition between east/west, front/back, public/private, male/female, and open space/ closed space. There is also a hierarchy of space, which were applied in floor level, height of space and lightness. The structure of the roof shows the best formativeness. Depending on the shape of the roof, the function of the building is shown, and also it represents the social rank and religious respect. Joglo's unique formativeness is an icon of the Java architect.

• Journal of Korean Society of Water and Wastewater
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• v.12 no.1
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• pp.102-107
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• 1998

This study was conducted to investigate how the pore sizes of MF and UF membranes affected the removal efficiencies. The experimental results were compared with those obtained from the existing sand filter to select the optimum membrane. Turbidity of the raw water was adjusted to 10, 30, 50, 100, and 200NTU. The removal efficiencies of the turbidity and SS were nearly 100% for all membranes applied. Not membrane differences in the removal efficiencies of dissolved organics were also found. Thus, MF membrane with pore size $0.1{\mu}m$ was selected to obtain satisfactory removal efficiencies of turbidity and bacteria. Permeable flux was also considered. The $0.1{\mu}m$ MF membrane system was operated in the treatment plant to compare the results with those obtained from the existing sand filter. Turbidity, SS, $KMnO_4$ consumption, and number of coliform were chosen to be compared. Because there were not much differencies in the quality of the treated water, the existing coagulation-sedimentation-filtration process might be replaced and upgraded by simpler membrane process.

• Journal of Biomedical Engineering Research
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• v.33 no.1
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• pp.1-7
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• 2012

Hemorrhagic shock is a common cause of death in emergency rooms. Early diagnosis of hemorrhagic shock makes it possible for physicians to treat patients successfully. Therefore, the purpose of this study was to select an optimal survival prediction model using physiological parameters for the two analyzed periods: two and five minutes before and after the bleeding end. We obtained heart rates, mean arterial pressures, respiration rates and temperatures from 45 rats. These physiological parameters were used for the training and testing data sets of survival prediction models using an artificial neural network (ANN) and support vector machine (SVM). We applied a 5-fold cross validation method to avoid over-fitting and to select the optimal survival prediction model. In conclusion, SVM model showed slightly better accuracy than ANN model for survival prediction during the entire analysis period.

• Journal of Society of Preventive Korean Medicine
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• v.16 no.2
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• pp.83-94
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• 2012

Objectives : This study aimed to investigate the use and patterns of health care resources of local patients and to analyze the health seeking behaviors focusing on shopping around phenomenon. Methods : Questionnaires on the use of health institution were developed and administered to the residents in Yangsan city, Korea. We selected patients who were suffering from any diseases two months and over. Patients' health seeking behaviors were categorized, and the factors for selecting health institutions in each visiting stages were analyzed. Results : 139 local patients participated in the survey, and 130 completed questionnaires were analyzed. We found that there were sixty eight different types of medical utilization paths. The most frequent path was 'western clinics ${\rightarrow}$ Korean medicine hospitals or clinics ${\rightarrow}$ western clinics'. Only 6 patients started at Korean medicine, however, 16 patients(12.3%) finalized their treatment at Korean medicine hospitals or clinics. In most health seeking stages, patients tended to select health resources by their own decisions, and the geographic factor was the key reason to select health resources. Conclusions : Patients had not any stable forms to treat with their diseases, and we observed diversified patterns in the health seeking behaviors of patients, a typical shopping around phenomenon.

• Journal of Fashion Business
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• v.16 no.5
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• pp.106-113
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• 2012

This study intend to research color preferences about innerwear(specially brassiere) and draw a comparison of color preference's differences among the Korea, China and Hong Kong. The subjects of study are female students of universities in Korea, China and Hong Kong. The data analysis was done with the statistical treatment in SPSS 14.0, and the results are as follows. Female students of universities in Korea, China and Hong Kong are distinguished from wearing color and preference color of innerwear. Korea and China female students prefer skin color to the other color but most of Hong Kong female students prefer black color. In case of red color, Korea female students don't select a red color as a preference color but even if some students select a red color, China and Hong Kong females prefer a red color. The traditional color opinions of Korea, China and Hong Kong are the same as a Yin-Yang School. But these days they have different color opinions because of cultural, political and ideological elements. Korea females like skin and white colors because these colors don't appear on the outwear surface. Korean have an inclination toward conservatism and use the color according to ideological and deceptive orders of the Confucianism. Hong Kong have a different color preference from China because they have chances of receiving the other cultures for example United Kingdom, Japan and so on.

• ETRI Journal
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• v.40 no.2
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• pp.237-245
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• 2018

The Distributed Modulated Wideband Converter (DMWC) is a networking system developed from the Modulated Wideband Converter, which converts all sampling channels into sensing nodes with number variables to implement signal undersampling. When the number of sparse subbands changes, the number of nodes can be adjusted flexibly to improve the reconstruction rate. Owing to the different attenuations of distributed nodes in different locations, it is worthwhile to find out how to select the optimal sensing node as the sampling channel. This paper proposes the spectrum sensing of DMWC based on a Markov random field (MRF) to select the ideal node, which is compared to the image edge segmentation. The attenuation of the candidate nodes is estimated based on the attenuation of the neighboring nodes that have participated in the DMWC system. Theoretical analysis and numerical simulations show that neighboring attenuation plays an important role in determining the node selection, and selecting the node using MRF can avoid serious transmission attenuation. Furthermore, DMWC can greatly improve recovery performance by using a Markov random field compared with random selection.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.799-802
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• 1997

This paper deals with a new method to derive the Generalized Jacobian Matrix of a space robot. In a conventional method to derive the Generalized Jacobian Matrix, generalized coordinates select Joint angles and a space robot body's position and attitude angle. But, in this paper, we select position and attitude angle of the end-effector or the handled floating object as generalized coordinates. Then, we can derive the Generalized Jacobian Matrix of the system which consists of several space robots and a handled floating object. Moreover control methods operated by only one space robot can be easily extended to the cases of cooperation task by several space robots. Computer simulations show that the Generalized Jacobian Matrix derived here is effective.

• Journal of Korea Multimedia Society
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• v.23 no.9
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• pp.1129-1138
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• 2020

The performance of convolutional deep learning networks is generally determined according to parameters of target dataset, structure of network, convolution kernel, activation function, and optimization algorithm. In this paper, a genetic algorithm is used to select the appropriate deep learning model and parameters for Alzheimer's classification and to compare the learning results with preliminary experiment. We compare and analyze the Alzheimer's disease classification performance of VGG-16, GoogLeNet, and ResNet to select an effective network for detecting AD and MCI. The simulation results show that the network structure is ResNet, the activation function is ReLU, the optimization algorithm is Adam, and the convolution kernel has a 3-dilated convolution filter for the accuracy of dementia medical images.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.79-86
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• 2020

This study investigates the contents of programming education in elementary information education textbooks in Busan and Zhejiang. Two textbooks identify the contents of elementary school information education textbooks on setting goals of programming education, selecting educational programming languages, and selecting and developing contents of programming education. Textbooks in the two regions are designed to select programming languages for elementary school levels and to select creative learning topics to help learners learn programming in the process of solving problems themselves. The textbooks identified in this study are designed so that learners can learn programming naturally in the process of solving problems.