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The study on ubiquitous booth design (Ubiquitous-Booth 설계 연구)

  • Oh, Hyun-Jung;Jeon, Jeong-U;Baik, Song-Hoon
    • 한국정보통신설비학회:학술대회논문집
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    • 2007.08a
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    • pp.169-172
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    • 2007
  • The word of U-City means next generation information city. U-City mixes both high technology information infrastructure and ubiquitous information in city to improve easy life in city, quality of life, personal security in city life, and well-fare service and to make business in new area. To provide information and joy of life to citizen in U-city, we will design U-Booth among IT infrastructure solutions. In this article, we will study designing city-type U-Booth and summarize designing point of U-Booth in terms of the specific place. At last, we want to say about the role of U-Booth in U-city. In this article, we want to study designing point of U-Booth and important parts in terms of the specific place of U-Booth.

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A Study on Automatic Seam Tracking using Vision Sensor (비전센서를 이용한 자동추적장치에 관한 연구)

  • 전진환;조택동;양상민
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.1105-1109
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    • 1995
  • A CCD-camera, which is structured with vision system, was used to realize automatic seam-tracking system and 3-D information which is needed to generate torch path, was obtained by using laser-slip beam. To extract laser strip and obtain welding-specific point, Adaptive Hough-transformation was used. Although the basic Hough transformation takes too much time to process image on line, it has a tendency to be robust to the noises as like spatter. For that reson, it was complemented with Adaptive Hough transformation to have an on-line processing ability for scanning a welding-specific point. the dead zone,where the sensing of weld line is impossible, is eliminated by rotating the camera with its rotating axis centered at welding torch. The camera angle is controlled so as to get the minimum image data for the sensing of weld line, hence the image processing time is reduced. The fuzzy controller is adapted to control the camera angle.

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Bankruptcy Prdiction Based on Limited Data of Artificial neural Network -in Textiles and Clothing Industries- (한정된 데이타하에서 인공신경망을 이용한 기업도산예측-섬유 및 의류산업을 중심으로-)

  • 피종호;김승권
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.04a
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    • pp.733-736
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    • 1996
  • Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bankruptcy prediciton on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediciton. Therefore, we have decided to focus on textiles and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.

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Bankruptcy Prediction Based on Limited Data of Artificial Neural Network - in Textiles and Clothing Industries - (한정된 데이터 하에서 인공신경망을 이용한 기업도산예측 - 섬유 및 의류산업을 중심으로 -)

  • 피종호;김승권
    • Korean Management Science Review
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    • v.14 no.2
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    • pp.91-111
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    • 1997
  • Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bandkruptcy prediction on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediction. Therefore, We have decided to focus on textile and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.

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Human Experimental Studies on the Risk of Electric Shock due to Damage of Underground Wire in Street Lamp (가로등의 지중전로 손상으로 인한 인체감전 위험성에 대한 실험 연구)

  • Chung, Jae-Hee
    • Journal of the Korean Society of Safety
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    • v.24 no.5
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    • pp.6-12
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    • 2009
  • This study performed an experiment for the danger of an electric shock in the human body, which is directly touched or approached to the exposure of buried metals in a leak caused by certain ground faults at a buried cable in street lamp. In the results of the experiment, the dangerous of electric shocks due to the earth specific resistance and wet and submersion of the earth surface represents a high level as the human body is directly touched to the buried metal at a leak point. In addition, it can be seen that the safety of the human body is influenced by the earth specific resistance, separated distance from buried metals, and shape of buried metals at around the leak point.

Bankruptcy Prediction Based on Limited Data of Artificial Neural Network - in Textiles and Colthing Industries - (한정된 데이터 하에서 인공신경망을 이용한 기업도산예측 - 섬유 및 의류산업을 중심으로 -)

  • 피종호;김승권
    • Journal of the Korean Operations Research and Management Science Society
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    • v.14 no.2
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    • pp.91-91
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    • 1989
  • Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bandkruptcy prediction on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediction. Therefore, We have decided to focus on textile and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.

Hydrogen Formation by Photo-splitting of Water on Ilmenite (일메나이트 상에서 물의 광분해에 의한 수소의 생성)

  • Choi, Im-Kyu;Ha, Baik-Hyun
    • Solar Energy
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    • v.8 no.1
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    • pp.49-56
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    • 1988
  • Thermally treated Korean ilmenite was characterized and used for water splitting to obtain hydrogen by photo-catalytic reaction. Experiments on specific surface area, X-ray diffraction and EDS showed that the formation of FeO, $Fe_2O_3$ and $TiO_2$ ilmenite crystal surface increased the specific surface area with maximum value, phase change of $TiO_2$ at $600^{\circ}C$ and hetrogeneity. The hydrogen evolved in caustic soda solution on these ilmenites indicated that there was a maximum yield point at about $600^{\circ}C$. This point was explained with the change of the surface area due to sintering of newly formed FeO, $Fe_2O_3$ and $TiO_2$, as well as crystal phase change of anatase to rutile at $600^{\circ}C$. Produced hydrogen increased also as the concentration of caustic soda, but become constant at the near 1N solution.

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Miniature J-T cryocooler using argon and nitrous oxide mixture

  • Hwang, Gyu-Wan;Jeong, Sang-Kwon
    • Progress in Superconductivity and Cryogenics
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    • v.10 no.4
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    • pp.38-42
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    • 2008
  • Miniature J-T cryocooler using nitrogen or argon has been widely adopted in cooling infrared sensor for space/military application and cryosurgery. Argon or nitrogen, however, has relatively low specific cooling power compared to nitrous oxide, but the ultimate operating temperature is much lower than nitrous oxide. On the other hand, nitrous oxide has large specific cooling power, but the operating temperature is limited to its boiling point (>183K). To compromise the different characteristics of these gases, the performance of miniature J-T cryocooler using argon and nitrous oxide mixture is investigated in this paper. Three different compositions of mixture (25/75, 50/50, and 75/25 molar fraction) are blended and tested. The results are compared with the experiments of pure argon and pure nitrous oxide. The experimental results show some encouraging potentiality of mixed refrigerant J-T cryocooler. The critical clogging problem, however, was observed with argon and nitrous oxide mixture, and the lowest achievable temperature with this mixture was limited to the freezing point of nitrous oxide. The paper discusses detailed clogging process of the mixture and suggests an alternative.

A Proposal for Enhancing Dispute Resolution Functions and the Governance of Korea National Contact Point (NCP) to the OECD Guidelines for Multinational Enterprises (OECD 다국적기업 가이드라인 한국 국내연락사무소 (NCP)의 분쟁해결 기능과 지배구조 개선방안)

  • Ahn, Keon-Hyung
    • Journal of Arbitration Studies
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    • v.27 no.4
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    • pp.179-198
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    • 2017
  • The OECD Guidelines for Multinational Enterprises (The Guidelines) was initially promulgated in 1976 as a form of annex to the OECD Declaration on International Investment and Multinational Enterprises. The Guidelines aims at accomplishing the implementation and dissemination of the Responsible Business Conduct. The latest version of The Guidelines, as revised in 2011, directed 47 adhering countries to The Guidelines to set up their respective National Contact Points (NCPs). NCPs are The Guidelines' dispute resolution mechanism for specific instances arising from breach by multinational enterprises of The Guidelines. Korea to date has its own NCP performing its role to offer good offices and facilitates settlement between the parties to the specific instances regarding The Guidelines. However, there has been strong criticism from NGOs and civil society that Korea NCP has not performed well due to lack of transparency and impartiality, especially in the context of the governance of Korea NCP. Under this circumstance, this paper ⅰ) examines current status and problems of Korea NCP, ⅱ) evaluates the core criteria for function and governance of NCPs through a comparative overseas cases study, and ⅲ) suggests improvement plans for Korea NCP.

A Study on the Mass Collection Efficiency in Collector Step of Electrostatic Precipitator by Physical Gas Characterization (전기집진장치에서 가스의 물리적인 특성에 따른 포집구역내의 입자포집율 연구)

  • Ha, Sang-An;Im, Gyeong-Taek;Sin, Nam-Cheol
    • Journal of Environmental Science International
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    • v.7 no.1
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    • pp.36-40
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    • 1998
  • This study was carried out to investigate the collection Efficiency of mass in collector step at the different of physical gas characterization. This work has focused on the dependence of the collection efficiency of mass in the collector zone of a two-stage set up field with gas temperature T and the dew point tmeperature. To identify the dependence of the mass collection efficiency on the Bounded plate of the collector zone MP.k by the spectre electric resistance of dust $p_e$. and the relative humidify ${\varphi}$, 20 at- tempts have been made with three different gas temperature ($50{\circ}C, 80{\circ}C, 110{\circ}C$) at different dew point. At the specific electric resistance of dust $p_e$=$10^6{\Omega}m$ which relative humidity corresponds to $\phi$ > 15%, a easy rise of the sounded plate secluded dust mass share was measured atwain. As the result of the higher cohesion imprisonment power due to the adsorbtion of particle, the rinse of the relative humidity developed on the particle surface. Therefore, the collection efficiency of mass was not predominant the high temperature T in the collector zone, neither was the pecific ellectric resistance of dust dependent.

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