• Title/Summary/Keyword: Selection Factor

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Selection of Sensing Members in a High-rise Building Structures using Displacement Participation Factors and Strain Energy Density (변위기여도 및 변형에너지밀도를 활용한 초고층 건물의 센싱 부재 선정)

  • Lee, Hong-Min;Park, Sung-Woo;Park, Hyo-Seon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.22 no.4
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    • pp.349-354
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    • 2009
  • To rationally secure and maintain the safety and serviceability of a high-rise building, monitoring of structural responses of members is necessary. As such health monitoring of large-scale building structures has received growing attention by researchers in recent years. However, due to a very large number of members complexity of structural responses of a high-rise building structure, practical difficulties exist in selection of structural members to be sensored for assessment of structural safety of a structure. In this paper, a selection technique for active members for safety monitoring of a high-rise building based on displacement participation factor and strain energy density of a member is investigated.

A Study on the Eating Out Behavior and Its Factors in Restaurant Selection of University Students (대학생의 외식행동과 식당 선택요인에 관한 연구)

  • Woo Kyung-Ja;Yang Hang-Sook;Rho Jeong-Ok
    • Journal of the East Asian Society of Dietary Life
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    • v.15 no.2
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    • pp.235-245
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    • 2005
  • This study was conducted to investigate the eating out behavior and its factors in restaurant selection by students in Incheon area. Self administered questionnaires were collected from 297 students. Statistical data analysis was completed using a SPSS v. 10.0 program. The results are summarized as follows: The average age, weight, height, BMI and male and female students were $24.31,\;67.96\cal{kg},\;174.93\cal{cm},\;22.17\;;\;20.55,\;51.99\cal{kg},\;165.44\cal{cm},\;19.00$ reflectively. About $54.2\%$ of male students and $38.0\%$ of female students responded to eat out at least once a day. And lunch was most frequent meal for eating out. About $57\%$ of students responded to have eat at restaurants around campus, and $19.5\%$ of students used the university foodservice system. Korean-style food was most favorite dish when they ate out. Major source of restaurants information was recommended action by friends or family. But the use of internet or magazine was negligible. The factor of restaurants choice was in order 'taste', 'price', 'atmosphere' and 'hygienic'.

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Possible Effects of Senior Hospital Selection Factors and Satisfaction on Revisit Intention (노인병원 선택요인과 만족도가 재이용의사에 미치는 영향 - 환자보호자 관점에서 -)

  • Choi, Young-Sun;Rue, Hwang-Gun;Bae, Sung-Kwon
    • The Korean Journal of Health Service Management
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    • v.3 no.1
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    • pp.33-46
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    • 2009
  • In order to analyze possible effects of senior hospital selection factors and service satisfaction on senior hospital patients' revisit of senior hospital, this study surveyed guardians of total 204 patients hospitalized in major 4 senior hospitals in Busan. As a result, this study came to the following conclusions: First, it was found that guardians considered appropriateness of medical treatment cost as the biggest factor of choice, which was followed by kindness of doctor and hospital employees, locational accessibility (traffic convenience), and doctor's medical capacity. Second, the factor analysis about patients' satisfaction showed that the influential factors consisted of satisfaction at medical staffs, satisfaction at nursing and care, and satisfaction at facilities. Third, there was not significant difference in the overall impression of hospital and the intention of revisit depending upon sociological variables. Fourth, satisfaction at nursing and care and satisfaction at facilities had significant effects on better satisfaction at overall impression of hospital, and it was noted that the shorter admission period and the less complaint led to the higher intention of revisit. Therefore, it is necessary to improve satisfaction at medical staffs, nursing and care, and facilities rather than patients' own sociological characteristics.

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Analyzing the Determinants of Online Seafood Purchasing Using Heckman's Ordered Probit Sample-Selection Model (Heckman 순서형 프로빗 모형을 이용한 소비자의 온라인 수산물 구매 결정요인 분석)

  • Heon-Dong Lee
    • The Journal of Fisheries Business Administration
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    • v.55 no.1
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    • pp.37-53
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    • 2024
  • In the post-COVID-19, the food industry is rapidly reshaping its market structure toward online distribution. Rapid delivery system driven by large distribution platforms has ushered in an era of online distribution of fresh seafood that was previously limited. This study surveyed 1,000 consumers nationwide to determine their online seafood purchasing behaviors. The research methodology used factor analysis of consumer lifestyle and Heckman's ordered probit sample-selection model. The main results of the analysis are as follows. First, quality, freshness, selling price, product reviews from other buyers, and convenience are particularly important considerations when consumers purchase seafood from online shopping. Second, online retailers and the government must prepare measures to expand seafood consumption by considering household characteristics and consumer lifestyles. Third, it was analyzed that consumers trust the quality and safety of seafood distributed online platforms. It is not possible to provide purchase incentives to consumers who consider value consumption important, so improvement measures are needed. The results of this study are expected to provide implications on consumer preferences to online platforms, seafood companies, and producers, and can be used to establish future marketing strategies.

The Optimum Calculation of Motor Load by Motor Driving Factor Application (운전율 적용에 의한 동력부하의 적정산정)

  • 어익수
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 1998.11a
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    • pp.192-197
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    • 1998
  • This study has been focused on the selection of optimal electric motor load, which takes a lot of portions of motor driving factor in the building. Based on the past design data for existing electric motor load and method of calculation, it is known that in general electric machine load has been estimated excessively. For the accurate calculation, it is important apply to motor driving factor to be actually provided.

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Factors Affecting Selection of Delivery Facilities Pregnant Women (산모의 분만기관 선택관련 요인)

  • Lee, Choong-Wan;Yu, Seung-Hum;Oh, Hee-Choul
    • Journal of Preventive Medicine and Public Health
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    • v.23 no.4 s.32
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    • pp.436-450
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    • 1990
  • This study was designed to investigate the mar factors affecting selection of delivery facilities by pregnant women. Five hundred women hospitalized at 23 Seoul-area delivery facilities, such as university hospitals, general hospitals, hospitals, and clinics were selected and given questionnaires from April 24 to May 7, 1990. A total of 350 questionnaires were collected and analysed for the study. The results are as follows ; 1. In general, variables which significantly affected the choice of delivery facilities included the age of women, their educational level, the educational level of their husbands, monthly average incomes and residential areas. 2. In analyzing the obstetrical characteristics of the women, those variables significantly affecting the choice of delivery facilities were the gestational period, the facilities for prenatal care, the frequency of prenatal care, the type of delivery, the frequency of miscarriage, previous delivery experiences and the awareness on prenatal care. 3. In comparing the motivation factors for selecting the delivery facilities, all the factors except convenience and need for hospitalization differed significantly among delivery facilities. 4. The factor analysis was assessed for twenty possible factors motivating the choice of delivery facilities. Six factors including personal service, scale of the facility, reputation, urgency, convenience, and experience were noted explaining by 57.7%. 5. In the discriminant analysis used to clarify the major factors affecting the selection of delivery facilities, the 16 significant variables were regarded as independent variables, and the type of delivery facilities was considered a dependent variable. The stepwise method was applied to the analysis. Detected discriminant variables were the facilities for prenatal care, scale factor, personal service factor, urgency factor, convenience factor, reputation factor, experience factor, gestational period, types of delivery, frequency of miscarriage, age and income. These 12 discriminant variables were tested, with reference to discriminant prediction, on their importance in the choice of the delivery facility, by the discriminant functional formula. The test showed a hit-rate of 67.7%. The results suggest that general characteristics, obstetrical characteristics, and motivations for selecting the delivery facilities differ significantly according to the types of the delivery facilities. This study implies that all types of delivery facilities should attempt to acommodate characteristics and motivations of pregnant women. The facilities should be prepared to increase their patients satisfaction with required medical conditions by improving service and responding to the pregnant women's preferences.

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Unbiasedness or Statistical Efficiency: Comparison between One-stage Tobit of MLE and Two-step Tobit of OLS

  • Park, Sun-Young
    • International Journal of Human Ecology
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    • v.4 no.2
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    • pp.77-87
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    • 2003
  • This paper tried to construct statistical and econometric models on the basis of economic theory in order to discuss the issue of statistical efficiency and unbiasedness including the sample selection bias correcting problem. Comparative analytical tool were one stage Tobit of Maximum Likelihood estimation and Heckman's two-step Tobit of Ordinary Least Squares. The results showed that the adequacy of model for the analysis on demand and choice, we believe that there is no big difference in explanatory variables between the first selection model and the second linear probability model. Since the Lambda, the self- selectivity correction factor, in the Type II Tobit is not statistically significant, there is no self-selectivity in the Type II Tobit model, indicating that Type I Tobit model would give us better explanation in the demand for and choice which is less complicated statistical method rather than type II model.

Investigation on the selection of capillary tube for the alternative refrigerant R-407C (대체냉매 R-407C의 모세관 선정에 관한 연구)

  • 김용환;김창년;박영무
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.10 no.1
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    • pp.56-65
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    • 1998
  • In this paper, experimental investigation of capillary tube performance for R-407C is performed. The experimental setup is made of real vapor-compression refrigerating system. In this study, mass flow rate is measured for capillary tubes of various diameter and length as inlet pressure and degree of subcooling are changed. These data are compared with the results of a numerical model. The mass flow rates of the numerical model are less than by 14% compared with the measured mass flow rates. It is found that mass flow rate and length for R-407c are less than those of R-22 under the same condition. Also based on this experimental study and the numerical model, a set of capillary tube selection charts for R-407C is constructed.

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The Selection of Suitable locations for PSSs in KEPCO's Power System using Speed Participation Factor (속도 참여율(SPF)을 이용한 한전계통의 PSS 최적 설치 개소 선정)

  • Shin, Jeong-Hoon;Kim, Yong-Hak;Kim, Tae-Kyun;Hong, Sun-Chun
    • Proceedings of the KIEE Conference
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    • 1999.07c
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    • pp.1311-1313
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    • 1999
  • This paper presents the selection of suitable locations for PSSs in large power system using Speed Participation Factor(SPF). And practical considerations for optimal locations of PSSs are discussed. In this paper, the simulation results for SPF in KEPCO's power system using SSSP by EPRI are also included.

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Robust Three-step facial landmark localization under the complicated condition via ASM and POEM

  • Li, Weisheng;Peng, Lai;Zhou, Lifang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.9
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    • pp.3685-3700
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    • 2015
  • To avoid influences caused by pose, illumination and facial expression variations, we propose a robust three-step algorithm based on ASM and POEM for facial landmark localization. Firstly, Model Selection Factor is utilized to achieve a pose-free initialized shape. Then, we use the global shape model of ASM to describe the whole face and the texture model POEM to adjust the position of each landmark. Thirdly, a second localization is presented to discriminatively refine the subtle shape variation for some organs and contours. Experiments are conducted in four main face datasets, and the results demonstrate that the proposed method accurately localizes facial landmarks and outperforms other state-of-the-art methods.