• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.500-500
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• 2005

• Proceedings of the Korean Nuclear Society Conference
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• 1997.05a
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• pp.437-443
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• 1997

DYLAM and its related applications are reviewed in detail and found to have many favorable characteristics. Concerning human factor analysis, the study demonstrates that DYLAM methodology represents an appropriate tool to study man-machine behavior provided that DYLAM is used to model machine behavior and an appropriate operator interface human factor model is included. A hybrid model which is a synthesis of the DYLAM model, a system thermodynamic simulation model and a neural network predicative model, is implemented and used to analyze dynamically the CANDU pressurizer system.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.593-596
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• 1996

A seam tracking control system with a tool position control and a camera orientation control, has been developed here. For the camera orientation contro, SOFNN was used to learn the expert control signal. The SOFNN algorithm can adjust the fuzzy set parameters and determine the fuzzy logic structure.

• Proceedings of the Korean Society of Crop Science Conference
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• 2004.10a
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• pp.96-97
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• 2004

• 한국정보디스플레이학회:학술대회논문집
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• 2000.01a
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• pp.59-60
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• 2000

We have developed the LCD Simulator, which is called "ProLCD", in order to reduce time and efforts for the design and analysis of LCDs. We describe the numerical models implementing the computation of LC directors and electro-optics, the graphic user interface and the visualization modules. Many applications show that ProLCD is a very useful, interactive design tool with good reliability.

• Nuclear Engineering and Technology
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• v.30 no.3
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• pp.194-201
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• 1998

DYLAM (Dynamic Logical Analytical Methodology) and its related methodologies are reviewed and found to have many favorable characteristics. Previous studies have shown that the DYLAM methodology represents an appropriate tool to study dynamic analysis. A hybrid model which is a synthesis of the DYLAM model, a system thermodynamic simulation model and a neural network predicative model, is implemented and used to analyze dynamically the CANDU pressurizer system. This study demonstrates that the hybrid model for system reliability analyses is effective.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.399-399
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• 2004

• Current Photovoltaic Research
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• v.4 no.1
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• pp.21-24
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• 2016

Chalcopyrite based (CIGS) thin films have considered to be a promising candidates for industrial applications. The growth of quality CIGS thin films without secondary phases is very important for further efficiency improvements. But, the identification of complex secondary phases present in the entire film is crucial issue due to the lack of powerful characterization tools. Even though X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) and normal Raman spectroscopy provide the information about the secondary phases, they provide insufficient information because of their resolution problem and complexity in analyzation. Among the above tools, a normal Raman spectroscopy is better for analysis of secondary phases. However, Raman signal provide the information in 300 nm depth of film even the thickness of film is > $1{\mu}m$. For this reason, the information from Raman spectroscopy can't represent the properties of whole film. In this regard, the authors introduce a new way for identification of secondary phases in CIGS film using depth Raman analysis. The CIGS thin films were prepared using DC-sputtering followed by selenization process in 10 min time under $1{\times}10^{-3}torr$ pressure. As-prepared films were polished using a dimple grinder which expanded the $2{\mu}m$ thick films into about 1mm that is more than enough to resolve the depth distribution. Raman analysis indicated that the CIGS film showed different secondary phases such as, $CuIn_3Se_5$, $CuInSe_2$, InSe and CuSe, presented in different depths of the film whereas XPS gave complex information about the phases. Therefore, the present work emphasized that the Raman depth profile tool is more efficient for identification of secondary phases in CIGS thin film.

• Transactions of the KSME C: Technology and Education
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• v.1 no.1
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• pp.139-145
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• 2013

Light rail transit(LRT) is a public transportation and mainly has an automatic driverless operation system. LRT project is a large scaled project which a construction cost is tens of billions of won per km. Systems engineering(SE) is an interdisciplinary approach and means to enable realization of successful systems. In this paper, we propose the systems engineering processes and their outputs list for the LRT project. And then, we present template and sample case of process output. We also present a case which carried out SE process by SE tool.

• The Journal of Korean Obstetrics and Gynecology
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• v.28 no.4
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• pp.11-20
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• 2015

Objectives The purpose of this study was to examine the relationship between cold hypersensitivity and bone mineral density. Methods 28 outpatients who visited OO University Oriental Hospital from July 11th, 2013 to August 28th, 2013 were analyzed. Patients were subjected to thermometer, and those with thermal difference greater than 0.3 ℃ between upper arm and palm and also with more than VAS 4 of cold hypersensitivity were diagnosed with cold sensitivity. Lumba spine (L2-4) and heel bone measurement were obtained on dual energy X-ray absorptiometry (DEXA) and Quantitative Computed Tomography (QCT). Results 1. There was statistically significant correlation between T-score of DEXA and body weight (0.522), BMI (0.643), OSTA (Osteoporosis elf-assesment Tool for Asians, 0.579), BMI, T-score and Z-score of QCT. OSTA and T-score of QCT (0.521) also had statistically significance. 2. There was no statistically significant correlation between body fat, abdominal obesity rate, degree of cold hypersensitivity, upper arm and palm's temperature difference, palm temperature, height and Z-score, T-score of QCT or T-sore of DEXA. Conclusions Bone mineral density was lower in women who had cold hypersensitivity of hand and feet. But there was no statistically significant correlation between bone mineral density and degree of cold hypersensitivity, upper arm and palm’s temperature difference.