• Solar Energy
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• v.18 no.3
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• pp.31-39
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• 1998

Selection of a right weather data set has been considered as one of important factors for a successful building energy audit process. A set of 30 year raw weather data base for six major cities has been developed to provide the weather data file for building energy audit and retrofit analysis in Korea. The program named as KWDP(KIER Weather Data Processor) uses the DB to produce a right data set for a specific building energy performance simulation program like DOE2.1E. A program called WMAKE has been developed to generate the right set of input parameters for DOE2.1E weather utility program. The set of the programs could provide the right weather data for specific building energy audit and retrofit analysis.

• Journal of The Korean Society of Grassland and Forage Science
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• v.41 no.4
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• pp.250-258
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• 2021

This study was conducted to investigate the effect of feeding systems on feed intake, weight gain, and fawn performance (Cervus canadensis) and estimation of grazing intensity in Elk doe at pasture. A sixteen Elk doe about 236.2 kg were randomly assigned to two feeding treatments. The treatment consisted of a barn feeding system (BF) and grazing at pasture (GR), and pasture was mainly composed of tall fescue, orchard grass, and Kentucky bluegrass. The moisture content of pasture was 19.51~22.61%, which was similar during experimental periods. The crude protein content was significantly higher from June to July (p<0.05). The contents of neutral detergent fiber and acid detergent fiber ranged 53.65~60.18%, and 26.08~29.10%, respectively. There were no significant differences between feeding systems on supplementary feed intake, but the roughage and total dry matter intake showed significant differences between treatment groups (p<0.05), except for May. In August, roughage intake was dramatically decreased in the GR group due to summer environmental changes. On the other hand, the higher intake of roughage in September might be related to nutrient intake for mammals. There was no difference in body weight between treatment groups, but the fawn performance was significantly higher in the GR group (p<0.05). These results might be suggested that grazing elk doe might positively affect fawn growth. However, it is considered that BF might increase the deer weaning rate during the parturition period, since the lower weaning rate in the GR group compared to the BF group. The grazing intensity of Elk doe was increased from May to July and decreased in August, which was influenced by pasture productivity. The average grazing intensity of Elk doe was found to be 15 heads/ha, which might be controlled by supplementary feeding. Further studies needed that mixed sowing methods and fertilization management in old grazing pastures for improved pasture productivity.

• Journal of Korean Society for Quality Management
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• v.29 no.3
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• pp.166-176
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• 2001

This paper considers a six sigma project for reducing the color variation of the monitor materials in a chemical plant. The project follows a disciplined process of five macro phases: define, measure, analyze, improve, and control (DMAIC). A process map is used to identify process input variables. Three key process input variables are selected by using an input variable evaluation table; a melting pressure, a coloring agent, and a DP color variation. DOE is utilized for finding the optimal process conditions of the three key process input variables. The sigma level of defects rate becomes a 4.58 from a 2.0 at the beginning of the project.

• Journal of Korean Society for Quality Management
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• v.31 no.1
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• pp.123-131
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• 2003

This paper considers a six sigma project for reducing the defects rate of the welding process in manufacturing firms. The project follows a disciplined process of five macro phases. define, measure, analyze, improve and control(DMAIC). The need of customers is used to identify critical to quality(CTQ) of project. And a process map is used to identify process input factors of CTQ. Four key process input factors are selected by using an input factor evaluation of teams; an interval of welding, an abrasion, an electric current and a moving freely. DOE is utilized for finding the optimal process conditions of the three key process input factors. Another one key input factor improved to welding machine. The six sigma level of defects rate becomes a 2.01 from a 1.61 at the beginning of the project.

• Transactions of Materials Processing
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• v.15 no.3 s.84
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• pp.226-231
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• 2006

The fuel injector is a pa.1 that controls the fuel supply of automotive engine. The housing of the fuel injector supports the rod, the needle valve and the solenoid. In this study, the rigid-plastic FE-analysis by using the design of experiments (DOE) and the response surface methodology (RSM) has been performed to produce the product reducing the under-fill and the maximum effective strain. From the results of DOE, the stem of counter punch and the face angle of punch at the $1^{st}$ process, and the stem of punch at the $2^{nd}$ process were determined as the significant design variables far each response such as the upper under-fill, lower under-fill and the maximum effective strain. From the results of RSM, the optimal values of the design variables have been also determined by simultaneously considering the responses.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.05a
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• pp.140-143
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• 2006

차세대 반도체 공정을 위한 많은 노력 중 미세가공의 중요성이 날로 증가함에 따라 reactive ion etching (RIE)에 대한 연구 또한 그 중요성이 커지고 있으며, 현재 제조공정 라인에서는 공정상의 오류를 줄이는 노력에 주목하고 있다. 본 논문에서는 RIE 과정에서 etch rate과 uniformity에 영향을 줄 수 있는 요인 4 가지 즉, $CHF_3$, $O_2$ chamber pressure, RF power의 변화에 대해 실험 계획법 (DOE)을 통해 실험을 계획하고, 실험한 후 neural networks. 를 통해 학습함으로서 RIE 공정상의 최적화률 모색하였다.

• Transactions on Electrical and Electronic Materials
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• v.6 no.3
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• pp.87-90
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• 2005

$SiO_2$ via-hole etching with a high aspect ratio is a key process in fabricating ULSI devices; however, accumulated charge during plasma etching can cause etching stop, micro-loading effects, and charge build-up damage. To alleviate this concern, charge-up damage sensor was fabricated for the ultimate goal of real-time monitoring of accumulated charge. As an effort to reach the ultimate goal, fabricated sensor was used for electrical potential measurements of via holes between two poly-Si electrodes and roughly characterized under various plasma conditions using statistical design of experiment (DOE). The successful identification of potential difference under various plasma conditions not only supports the evidence of potential charge-up damage, but also leads the direction of future study.

• Journal of the Korea Safety Management & Science
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• v.11 no.1
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• pp.121-130
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• 2009

This paper considers a six sigma project for reducing the cost copper of the cable materials in a electric wire company. The project follows a disciplined process of five macro phases: define, measure, analyze, improve, and control (DMAIC). A process map is used to identify process input variables. Three key process input variables are selected by using an input variables are selected by using an input variable evaluation table: large cable, plating, and a twisted pair. DOE is utilized for finding the optimal process conditions of the three key process input variables. The implementing result of this six sigma project is enable for reducing of the 2.8% copper materials.

• The KSFM Journal of Fluid Machinery
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• v.11 no.3
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• pp.36-42
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• 2008

In this paper, the performance characteristics of the impeller in a centrifugal pump were investigated using DOE(Design of Experiment) with commercial CFD software. Geometric parameters of vane plane development were defined with the meridional shape and frontal view of the impeller. The incidence angles and the exit blade angle were selected as main parameters using 2k factorial and the influences of selected design parameters were examined through the optimization process using RSM.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.06a
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• pp.188-189
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• 2006

차세대 반도체 공정을 위한 많은 노력 중 미세가공의 중요성이 날로 증가함에 따라 reactive ion etching (RIE)에 대한 연구 또한 그 중요성이 커지고 있다. 본 논문에서는 RIE 과정에서 etch rate과 uniformity에 영향을 줄 수 있는 요인 4가지 즉, $CHF_3$, $O_2$, chamber pressure, RF power의 변화에 대한 실험 계획법(DOE)을 통해 계획하고, 실험한 후 neural network를 통해 학습함으로서 RIE 공정상의 최적화를 모색하였다.