• Title/Summary/Keyword: Time factors

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An Economic Evaluation by a Scoring Model in the Nuclear Power Plants under Uncertainty (원전에서 점수산정모형에 의한 경제성 평가)

  • 강영식;함효준
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.52
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    • pp.311-322
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    • 1999
  • Major problems involved in an electrical utility expansion planning within a time horizon are how to efficiently deal with objectives considering multiple factors and uncertainty. But justification factors in study these days have considered only quantitative factors except qualitative factors. Therefore, the purpose of this paper is to develop a new model for economic evaluation of nuclear power plants through the scoring model with the quantitative and qualitative factors under uncertainty. The quantitative factors use a levelized generation cost method considering time value of money. Especially, the environmental, risk, and safety factors in this paper have been also explained for the rational economic justification of the qualitative factors under uncertainty. This paper not only proposes a new approach method using the scoring model in evaluating economy of the nuclear power plant in the long term, but also provides the more efficient decision making criterion for nuclear power plants under uncertainty.

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Analysis of Differences in Selection Attributes according to the Characteristics of Customers of Medicinal Restaurants (약선 음식점 고객 특성에 따른 선택속성의 차이 분석)

  • Jeong, Kyung-Ae;Lee, Nan-Hee;Kim, Mi-Lim;Oh, Wang-Kyu
    • The Korean Journal of Food And Nutrition
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    • v.30 no.2
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    • pp.345-355
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    • 2017
  • The purpose of this study is to provide basic data for the development direction and strategy for medicines through analysis of differences in choice attributes according to customers awareness of medicines and experience. In order to achieve the purpose of this study, a questionnaire survey was conducted on dietary education among national network trainees and lecturers by the Ministry of Food, Agriculture, Forestry and Livestock in Daegu, Gyeongsan, and Ulsan, Seoul from December 5, 2016, respectively. First, factor analysis results showed that six factors were extracted with respect to the choice of the restaurant. Second, the difference in each factor according to the recognition and experience of medicinal herbs was the health related factor as sex, females, age 50~59 years, companion others, and publicity and advertising' factors were more important for publicity and advertisement when the gender was female, the customer's age was 40~49 years, the companion was other, and the time of use was during the weekend. Among the factors related to 'getting dressed', the more important gender was female, age 40~49 years, and the other partner, The factors related to 'time' were as follows: sex, age, age 20~29 years, no accompanying companions, no time of use, and time importance. The 'menu' factors were more important for men, gender, women, age 40~49 years, companion for guitar, and usage time for weekend dinner. The 'service' factors were more important in 'service' as sex, male age, age 20~29, companion family, usage time, and weekend dinner.

An Analysis of Error Factors for Software Based Pseudolite Time Synchronization Performance Evaluation (소프트웨어 기반 의사위성 시각동기 기법 성능평가를 위한 오차 요소 분석)

  • Lee, Ju Hyun;Lee, Sun Yong;Hwang, Soyoung;Yu, Dong-Hui;Park, Chansik;Lee, Sang Jeong
    • Journal of Advanced Navigation Technology
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    • v.18 no.5
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    • pp.429-436
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    • 2014
  • This paper proposes three methods of the time synchronization for Pseudolite and GPS and analyzes pseudolite time synchronization error factors for software based performance evaluation on proposed time synchronization methods. Proposed three time synchronization methods are pseudolite time synchronization station construction method, method by using UTC(KRIS) clock source and GPS timing receiver based time synchronization method. Also, we analyze pseudolite time synchronization error factors such as errors of pseudolite clock and reference clock, time delay as clock transmission line, measurement error of time interval counter and error as clock synchronization algorithm to design simulation platform for performance evaluation of pseudolite time synchronization.

An analysis of time use of adolescents and influencing factors on it: House work, leisure, extracurricular lesson (청소년의 시간사용 실태와 결정요인 분석 - 가사노동, 여가, 과외수업을 중심으로)

  • 최남숙;유소이
    • Journal of Family Resource Management and Policy Review
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    • v.6 no.1
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    • pp.1-16
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    • 2002
  • The purposes of this study were to explore amount of time use for house work, leisure and extracurricular lesson used by adolescents and to explain its influencing factors. Tobit model was used to analyze the factors of time use because amount of time use was a limited continuous variable. The results of this study were as follows: 1) Amount of time used for house work per day by adolescents was found to be 36min. for weekdays and 64 min. for holidays. Amount of time used for passive leisure per day by adolescents was found to be 203min. for weekdays and 375 min. for holidays. Amount of time used for active leisure per day by adolescents was found to be 74 min. for weekdays and 194 min. for holidays. Amount of time used for extracurricular lesson per day by adolescents was found to be 96min. for weekdays and 36 min. for holidays. 2) Time use for house work was found to be significantly influenced by education status, education level of mother, job status of mother for weekdays and gender, education level of mother, job status of mother, household income for holidays. Time use for passive leisure was found to be significantly influenced by education status, small children at home for weekdays and gender, education status for holidays. Time use for active leisure was found to be significantly influenced by gender, education status for holidays, while there was no influencing factors for weekdays. Finally, time use for extracurricular lesson was found to be significantly influenced by gender, education status, household income for weekdays, and age, education level of mother for holidays.

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Factors associated with delay in reperfusion therapy in patients with acute myocardial infarction (급성심근경색 환자에서 재관류 치료 지연율과 그에 관련된 요인)

  • Kim, Yoon;Koh, Bong-Yeun
    • Health Policy and Management
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    • v.13 no.4
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    • pp.115-130
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    • 2003
  • Reperfusion delay in patients with acute myocardial infarction leads to increased morbidity and mortality. We sought to measure the rates of reperfusion delay and to identify factors associated with reperfusion delay after arrival to hospitals. We included 360 patients who had acute myocardial infarction with ST-elevation or left bundle branch block on electrocardiogram and received reperfusion therapy from the three participating academic medical centers from 1997 to 2000. Through retrospective chart review, we collected data about time to reperfusion therapy, patient and hospital factors potentially associated with reperfusion delay. Factors independently associated with reperfusion delay were determined by logistic regression analysis. Median door­to­needle time was 60.0 minutes, and median door­to­balloon time was 102.5 minutes. According to recommendation of the American College of Cardiology/American Heart Association Guidelines, 226 out of 264(85.6%) of thrombolytic patients and 43 out of 96(44.8%) percutaneous transluminal coronary angioplasty(PTCA) patients experienced reperfusion delay. The significant factors associated with delay were type of reperfusion therapy, patient factors including hypertension and delayed symptom onset to presentation(>4 hours), and hospital factors including nocturnal presentation(6pm∼8am), weekend, and an individual hospital. A significant proportion of patients experienced reperfusion delay. The identified predictors of reperfusion delay may help design a hospital system to reduce the delay in reperfusion therapy

The Artificial Neural Network based Electric Power Demand Forecast using a Season and Weather Informations (계절 및 날씨 정보를 이용한 인공신경망 기반 전력수요 예측 알고리즘 개발)

  • Kim, Meekyeong;Hong, Chuleui
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.1
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    • pp.71-78
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    • 2016
  • This paper proposes the new electric power demand forecast model which is based on an artificial neural network and considers time and weather factors. Time factors are selected by measuring the autocorrelation coefficients of load demand in summer and winter seasons. Weather factors are selected by using Pearson correlation coefficient The important weather factors are temperature and dew point because the correlation coefficients between these factors and load demand are much higher than those of the other factors such as humidities, air pressures and wind speeds. The experimental results show that the proposed model using time and seasonal weather factors improves the load demand forecasts to a great extent.

Analysis of Input Factors and Performance Improvement of DNN PM2.5 Forecasting Model Using Layer-wise Relevance Propagation (계층 연관성 전파를 이용한 DNN PM2.5 예보모델의 입력인자 분석 및 성능개선)

  • Yu, SukHyun
    • Journal of Korea Multimedia Society
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    • v.24 no.10
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    • pp.1414-1424
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    • 2021
  • In this paper, the importance of input factors of a DNN (Deep Neural Network) PM2.5 forecasting model using LRP(Layer-wise Relevance Propagation) is analyzed, and forecasting performance is improved. Input factor importance analysis is performed by dividing the learning data into time and PM2.5 concentration. As a result, in the low concentration patterns, the importance of weather factors such as temperature, atmospheric pressure, and solar radiation is high, and in the high concentration patterns, the importance of air quality factors such as PM2.5, CO, and NO2 is high. As a result of analysis by time, the importance of the measurement factors is high in the case of the forecast for the day, and the importance of the forecast factors increases in the forecast for tomorrow and the day after tomorrow. In addition, date, temperature, humidity, and atmospheric pressure all show high importance regardless of time and concentration. Based on the importance of these factors, the LRP_DNN prediction model is developed. As a result, the ACC(accuracy) and POD(probability of detection) are improved by up to 5%, and the FAR(false alarm rate) is improved by up to 9% compared to the previous DNN model.

Obesity as a Possible Risk Factor for Lost-time Injury in Registered Nurses: A Literature Review

  • Jordan, Gillian;Nowrouzi-Kia, Behnam;Gohar, Basem;Nowrouzi, Behdin
    • Safety and Health at Work
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    • v.6 no.1
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    • pp.1-8
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    • 2015
  • Time-loss injuries are still a major occurrence in Canada, injuring thousands of Canadian workers each year. With obesity rates on the rise across the country, as well as around the world, it is important that the possible effects of obesity in the workplace be fully understood, especially those effects linked to lost-time injuries. The aim of this paper was to evaluate predictors of workplace lost-time injuries and how they may be related to obesity or high body mass index by examining factors associated with lost-time injuries in the health care sector, a well-studied industry with the highest number of reported time loss injuries in Canada. A literature review focusing on lost-time injuries in Registered Nurses (RNs) was conducted using the keywords and terms: lost time injury, workers' compensation, occupational injury, workplace injury, injury, injuries, work, workplace, occupational, nurse, registered nurse, RN, health care, predictors, risk factors, risk, risks, cause, causes, obese, obesity, and body mass index. Data on predictors or factors associated with lost-time injuries in RNs were gathered and organized using Loisel's Work Disability Prevention Management Model and extrapolated upon using existing literature surrounding obesity in the Canadian workplace.

Scientific Study for the Standardization of the Preparation Methods for Paeksolgi(I) (백설기 조리법의 표준화를 위한 조리과학적 연구(I))

  • 김기숙
    • Journal of the Korean Home Economics Association
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    • v.25 no.2
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    • pp.79-87
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    • 1987
  • Paeksolgi is a typical Korean rice cake made by steaming rice powder added sugar, water and salt. This study attempted to clarify the factors which affect the textural characteristics, and to examine the effects of various steaming time and volume of adding water on sensory characteristics and Instron measurement on textures of Paeksolgi. Evaluation was conducted through sensory evaluation and objective evaluation. The results were summarized as follows. 1. In the preparation, the significant factors were soaking time, volume of sugar, and the interaction between soaking time and volume of adding water. And, Kind of sweetener, volume of adding water, steaming time, condition of powder, and the interaction between soaking time and steaming time, and between soaking time and volume of adding water, and between kind of sweetener and condition of powder, and between steaming time and volume of sugar were the significant factors which affected the textural characteristics of Paeksolgi. 2. In sensory evaluation on the various steaming time and volume of adding water, Paeksolgi made by steaming rice powder added water of 10% for 30 min. showed the most favorite tendency on the overall quality. The results of Instron measurement indicated that hardness, gumminess and chewiness tended to decrease as volume of adding water increased in same steaming time.

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A Study on The Reduction of Cycle Time in Injection Molding Process of The Monitor Backcover (Monitor Backcover의 사이클 타임 단축에 관한 연구)

  • Yoon K. H.;Kim J. K.
    • Transactions of Materials Processing
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    • v.14 no.4 s.76
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    • pp.368-374
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    • 2005
  • In the present study we used a diagrammatic analysis of 6 sigma quality control and Taguchi method for injection molding of monitor back-cover, evaluated the influence on the cycle time with part design, mold design, molding process and standardization activity involving design and molding, adopted analysis of sensitivity and effective factors of the part design and molding process conditions for productivity, identified main design molding factors. The contributing factors for the final cycle time could be enumerated as follows; the thickness of hot spot, main nominal part thickness, coolant inlet temperature, melt temperature and cooling line layout, etc.. As a first step, all the critical factors of design process applied to the current monitor housing were investigated through 6 sigma process. Thereafter, the optimal and better critical factors found in the first step were applied to new product design to prove that our process was correct. The Moldflow was used for injection molding simulation, and Minitab software for the statistical analysis, respectively. Finally, the productivity of new design was increased about 33 percents for our specific case.