• Title/Summary/Keyword: Change Factor

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Example study of the dissipation factor change according to the oil filtering in large oil-filled transformer (유입변압기 오일필터링에 따른 유전정접 변화사례 고찰)

  • Kong, Tae-Sik;Kim, Hee-Dong
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.2035_2036
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    • 2009
  • This paper is purpose to understand the dissipation factor properties of the oil-filled large transformer according to the oil filtering. In order to know the insulation characteristic change by insulating oil filtering, we carried out the insulation diagnostic test for the same transformer before oil filtering and after. The insulation diagnosis tests are consist of the megger, the polarization index, the AC current test, the dissipation factor test and the partial discharge test, Especially we took notice of dissipation factor change, we analyzed and made a comparison of the two cases test result.

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Default Bayesian Method for Detecting the Changes in Sequences of Independent Exponential and Poisson Random Variates

  • Jeong, Su-Youn;Son, Young-Sook
    • Communications for Statistical Applications and Methods
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    • v.9 no.1
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    • pp.129-139
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    • 2002
  • Default Bayesian method for detecting the changes in sequences of independent exponential random variates and independent Poisson random variates is considered. Noninformative priors are assumed for all the parameters in both of change models. Default Bayes factors, AIBF, MIBF, FBF, to check whether there is any change or not on each sequence and the posterior probability densities of change at each time point are derived. Theoretical results discussed in this paper are applied to some numerical data.

Technical Inefficiency Effects and Technological Change in Bangladesh Food Industry: A Stochastic Frontier Analysis

  • Rana, Md. Masud;Baten, Md. Azizul;Rabman, Mezbahur
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1449-1463
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    • 2008
  • This paper considers three different models with two functional forms, Cobb-Douglas and Translog, for the stochastic frontier production function of food manufacturing industry of Bangladesh over the period 1981-1982 to 1999-2000. The models are proposed by Battese and Coelli (1992, 1995) and Huang and Liu (1994). The technical efficiency, total factor productivity, technological change and technical efficiency change have been estimated in the frontier models. The results indicate that 41.47%, 59.30% and 70.98% of the potential output are being realized in this sector. The mean increments in total factor productivity are approximately 2%, 9% and 4% respectively.

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A study of the Stage of Change and Decisional balance : Exercise Acquisition, Smoking Cessation, Mammography Screening and Kegel's Exercise Acquisition in Korea (건강행위시행 변화단계에 따른 의사결정의 균형: 운동, 금연, 유방조영술 검진, 질회음근 강화운동을 중심으로)

  • Jang, Seong-Ok;Park, Yeong-Ju;Park, Chang-Seung;Im, Yeo-Jin
    • Journal of Korean Academy of Nursing
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    • v.30 no.5
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    • pp.1265-1278
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    • 2000
  • This study was carried out to assess the perception of decisional balance of Korean subjects about 4 health behaviors and to identify the influencing factor of decisional balance for exercise acquisition, smoking cessation, mammography screening and Kegel's exercise acquisition. All are representative health behaviors nurses can intervene in Korea based on the Transtheoretical model. Convenient samples of 2,484 subjects (191; exercise, 169; smoking cessation, 1903; mammography screening and 221; Kegel's exercise) were selected from cities and counties over 9 provinces throughout Korea, and the data was collected from January 1, 1999 to February 29, 2000. The research instrument were the Decisional Balance Measure for Exercise (Marcus & Owen., 1992), Smoking Cessation (Velicer et al., 1985), Mammography Screening (Rakowski et al.,1992) and Kegel Exercise (Lim, 1999) and Stage of Change Measure for Exercise (Marcus et al, 1992), Smoking Cessation (DiClemente et al., 1991), Mammography Screening (Rakowski et al.,1992) and Kegel's Exercise (Lim, 1999). The data was analyzed by the SAS Program. The results are as follows; 1. According to the stage of change measure, 2,484 subjects were distributed in each stage of change for four health behaviors: 1,233 subjects (49.8%), 745 subjects (30.2%), 113 subjects (4.7%), 156 subjects (6.5%), and 216 (8.7%) belonged to the pre- contemplation stage, contemplation stage, preparation stage, action stage and maintenance stage. They were all series of stages of change in their efforts to do health behavior. 2. Factor analysis identified 3 factors (1 of Pros, 2 of Cons) for the exercise, 4 factors for smoking cessation (2 of Pros, 2 of Cons), 2 factors (1 of Pros, 1 of Cons) for the mammogram screening and 2 factors (1 of Pros, 1 of Cons) for Kegel's exercise of decisional balance. 3. The analysis of variance and multiple comparison analysis showed that for all 4 samples, the Cons of changing the problem behaviors outweighed the Pros for subjects who were in the pre- contemplation stage, The opposite was true for subjects in action and maintenance stage. 4. Through the discriminant analysis, it was found that one factor of Pros for exercise, one factor of Cons for smoking cessation, 1 factor of Cons for mammogram screening and one factor of Cons for Kegel's exercise were the more influencing factors, than others in discriminating the stages of change. Results are consistent with the applications of the Transtheoretical model, which have been used to understand how people change health behaviors. This results provide some evidence that subject's report of his/her health behavior corresponds to beliefs about usefulness of related health behaviors. The results of this study have implications for patients' health education and health intervention strategies. The findings of this study give useful information for nursing educators for 4 health behaviors, especially the factors relating to decision making in the different stages of change.

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Cost Scaling Factor according to Power Plant Capacity Change (발전소 용량변경에 따른 비용보정계수)

  • Ha, Gak-Hyeon;Kim, Sung-Hwan
    • Journal of Energy Engineering
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    • v.22 no.3
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    • pp.283-286
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    • 2013
  • The existing nuclear power plants have been often redesigned by increasing or decreasing electrical power without changing design concept by the request of utility, economic factors or other factors. When the cost of power plant equipment redesigned by changing reactor power and electrical power is estimated, if its quotation is not available in the market place, cost scaling factor(CSF) applies to the cost of existing plant equipment and then the new-designed equipment cost can be calculated. In this paper, we review CSFs according to plant capacity change cases in United State DOE, EPRI, ABB, SWEC and introduce the results applied to Korean PWR 1000MWe and 1400MWe.

Methodology of CO2 Emission Factor Verification and Quantitative Assessment in Ethylene Product Processes (에틸렌 생산에서의 CO2 국가배출계수 검증 및 정량평가 방법론)

  • Youk, Soo Kyung;Jeon, Eui-Chan;Yoo, Kyung Seun
    • Journal of Climate Change Research
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    • v.9 no.1
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    • pp.69-74
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    • 2018
  • The purpose of this study is to suggest the methodology of $CO_2$ Emission Factor Verification and Quantitative Assessment in Ethylene Product Processes. At first, this study compare the IPCC (Intergovernmental Panel on Climate Change) 1996 Guideline and 2006 Guideline. And analyse methodology for estimating $CO_2$ emission and $CO_2$ emission factor in Ethylene product process. Also analyse cases of estimating $CO_2$ emission factor based on material balance. Methodology of $CO_2$ Emission Factor Verification and Quantitative Assessment are following the categories proposed by GIR (Greenhouse Gas Inventory and Research Center). There are total 12 factors in 8 categories and give 5 or 10 points according to their importance. Also this study suggests necessary data of document to meet the conditions. The result would help estimate accuracy Greenhouse Gas Inventory. Also contribute to establish policy on environmental assessment, air conservation, etc.

The Study on the Influence of Working Condition and Job Satisfaction to the Change of Occupation of Cosmetologist (Hair & Skin Care) (미용사(헤어, 피부)의 근무여건과 직무만족이 이직에 미치는 영향에 관한 연구)

  • Kim, Miok;An, Hyeonkyeong
    • Journal of Fashion Business
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    • v.17 no.5
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    • pp.138-150
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    • 2013
  • This paper is purposed to study on the Influence of Working Condition and Job Satisfaction on the change of occupation of Cosmetologist(Hair & Skin Care) to reduce cosmetologist change of occupation. The research methods are surveying with 250 persons & doing statistics analysis such as frequency, factor, regression analysis, using SPSS V.14. The results are as belows; 1. working conditions are reduced by two factors (1) welfare working condition, (2) basic working condition, and job satisfactions are reduced by one factor job satisfaction. 2. There is a relationship demographic characteristics, such as years, income/month, number of colleague in working area, working time/day, day off/month, with change of occupation. 3. There is a relationship working condition with change of occupation. 4. There is a relationship job satisfaction with change of occupation.

Bayesian Procedure for the Multiple Change Point Analysis of Fraction Nonconforming (부적합률의 다중변화점분석을 위한 베이지안절차)

  • Kim, Kyung-Sook;Kim, Hee-Jeong;Park, Jeong-Soo;Son, Young-Sook
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2006.04a
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    • pp.319-324
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    • 2006
  • In this paper, we propose Bayesian procedure for the multiple change points analysis in a sequence of fractions nonconforming. We first compute the Bayes factor for detecting the existence of no change, a single change or multiple changes. The Gibbs sampler with the Metropolis-Hastings subchain is run to estimate parameters of the change point model, once the number of change points is identified. Finally, we apply the results developed in this paper to both a real and simulated data.

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The Development of N2O Emission Factor at Killn Type Pyrolysis Melting Facility (외열킬른형 열분해용융시설의 N2O 배출계수 개발)

  • Yun, Hyun-Ki;Lee, Dae Kyeom;Cho, Changsang;Kang, Seongmin;Yoon, Young joong;Jeon, Youngjae;Jeon, Eui Chan
    • Journal of Climate Change Research
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    • v.8 no.3
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    • pp.231-237
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    • 2017
  • In this study, the $N_2O$ emission factor of the facility was developed by measuring the kiln type pyrolysis melting facility. This used PAS (Photoacoustic Spectroscopy) method and measured the $N_2O$ emission concentration. From March 2016 to April 2016, it was measured over a total of two times and $N_2O$ concentrations were measured continuously for 24 hours using a 24 hour continuous measuring instrument (LSE-4405). The measured $N_2O$ emission concentration of the pyrolysis melting facility was 0.263 ppm on average and the emission concentration distribution in the range of 0.013~0.733 ppm was obtained. Therefore, the $N_2O$ emission factor of the kiln-type pyrolysis melting facility was estimated to be $0.829gN_2O/ton$-Waste. As a result of comparing the $N_2O$ emission factor of the thermal kiln type pyrolysis melting facility and the previous study, previous studies were about 18 times higher. It is estimated that this is due to the difference of furnace temperature, oxygen concentration and denitrification facilities. It is considered that the study of the emission factor of pyrolysis melting facility is an important factor in improving the credibility of greenhouse gas inventory in waste incineration sector.

Comparison of N2O Emissions by Greenhouse Gas Emission Estimation Method (온실가스 배출량 산정 방법에 따른 N2O 배출량 비교)

  • Kang, Soyoung;Cho, Chang-Sang;Kim, Seungjin;Kang, Seongmin;Yoon, Hyeongi;Jeon, Eui-Chan
    • Journal of Climate Change Research
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    • v.6 no.3
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    • pp.175-184
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    • 2015
  • In this study GC and PAS were used to calculate $N_2O$ concentration of exhaust gas from Wood Chip combustion system. Fuel supplied to the incinerator was collected and analyzed and then the analysis result was used to calculate $N_2O$ emissions. Tier 3 and Tier 4 Method were used to calculate the $N_2O$ emissions. Plant's Specific emission factor of $N_2O$ by Tier 3 Method was 0.35 kg/TJ, while default emission factor of Wood?Wood Waste proposed by 2006 IPCC G/L was 4 kg/TJ. So the $N_2O$ emission factor of this study was 3.65 kg/TJ lower compared to the IPCC G/L. The total emissions calculated by Plant's specific emission factor was 4.22 kg during the measuring period, but by Tier 4 Method it was 7.88 kg. This difference in emissions was caused by the difference of continuous measuring and intermittent sampling. It would be necessary to apply continuous measuring to calculate emissions of $Non-CO_2$ gas whose the density distribution is relatively high. However currently, according to the target management guideline of greenhouse gas and energy, the continuous measuring method to calculate greenhouse gas emission is applied only to $CO_2$. Therefore for reliable greenhouse gas emission calculation it would be necessary to apply continuous measuring to calculate $Non-CO_2$ gas emission.