• Wind and Structures
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• v.31 no.4
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• pp.311-319
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• 2020

India is a developing nation and heavily spends on the development of wind power plants to meet the national energy demand. The objective of this paper is to investigate wind power potential of Ennore site using wind data collected over a period of two years by three parameter Weibull distribution. The Weibull parameters are estimated using maximum likelihood, least square method and moment method and the accuracy is determined using R² and root mean square error values. The site specific capacity factor is calculated by the mathematical model developed by three parameter Weibull distribution at different hub heights above the ground level. At last, the wind energy economic analysis is carried out using capacity factor at 30 m, 40 m and 50 m height for different wind turbine models. The analysis showed that the site has potential to install utility wind turbines to generate energy at the lowest cost per kilowatt-hour at height of 50 m. This research provides information of wind characteristics of potential sites and helps in selecting suitable wind turbine.

• Journal of the Korea Society of Computer and Information
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• v.8 no.4
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• pp.1-6
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• 2003

Route selecting of the road is a basic and important process. But the route selecting process must consider the technical, traffic and environment factor simultaneously. The optimum route that are able to reduce the construction cost, maximize utility value and investigate several alternative route must be selected. This study presents a reasonable plan for route selecting through subjective evaluation and classify the methods linked GIS from basic design of road construction.

• Culinary science and hospitality research
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• v.12 no.4 s.31
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• pp.33-45
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• 2006

The purpose of this study is to make special study of the efficient operation of university foodservice. The concrete results through the conjoint analysis can be elicited as follows. First, through the interview in depth we draw out the efficient attribute comparing and analyzing elements of selecting menu and main reasons for selecting either student cafeterias or general cafeterias. Second, we elicit the best attribute based on the results of analysis on preference. Third, we present an improvement program for operating student cafeterias through simulation. As a result of conjoint analysis of the main reason for selecting a cafeteria and the utility of each attribute, the most important factor comes price (34.95%), the time required (33.20%), food taste (30.45%), and various menu (1.42%) in that order. What draws attention in the research is that price (34.93%) is not the only factor which influences students' choice of a cafeteria. Location (33.20%) and food taste (30.45%) are all equally important. These results show that students' expectation for cafeterias is getting various. Basically, all customers look for a nearer restaurant where its food taste is good and menu is various at a low price.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.409-419
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• 2016

The purpose of this study is to examine the differences of selecting coffee shop and type of coffee according to the reason for the visit. The proposed model was empirically tested by using survey data collected from 209 university students in Seoul and Gyeonggi Province. SPSS has been used to preform this analysis. The study found six reasons for visiting Coffee shops which are convenience, social contact, psychological factor, economic factor, mental factor, and habitual visit. As we gorup these six reasons into three groups, students who visit coffee shops according to economic or habitual factor consider more on 'diversity of coffee'. And students who visit coffee shops according to convenience or habitual factor consider more on 'kindness of worker'. And last group who visit coffee shops according to social factor consider more on 'moderate price of coffee'. The reason why the reason for the visit and the attributes of selecting Coffee Shop are not meaningful to the type of coffee which students chose is that most of students tend to choose certain type such as Americano. And this also result from the traditional managements which don't have enough effort or the differentiation about the variety of menu.

• Journal of the Korean Solar Energy Society
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• v.31 no.5
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• pp.60-66
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• 2011

Selecting optimal wind turbine generators for wind farm sites in the capacity factor point of view is performed in this study. A program to determine the best wind turbine generator for the maximum capacity factor for a site was developed. The program uses both the wind characteristics of the site of interest and the power curves of the wind turbines. The program developed was applied to find out optimal wind turbine generators of three different sites in complex terrain and successfully yielded the best site dependent wind turbine generators. It was also used to determine the best wind turbine generator of the wind farm currently operating in Korea and proved its usefulness. The program and methodology developed in this study considered to be very useful at the initial design stage of the wind farm to determine the best wind turbine generators for the site of interest.

• International Journal of Highway Engineering
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• v.15 no.1
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• pp.135-141
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• 2013

PURPOSES: In this study, as part of an effort to develop HUD for public transit, it is proposed that the decision of order priority of contents which will be disposed to bus drivers through HUD for public transit using AHP(Analytic Hierarchy Process) technique. METHODS: In AHP analysis method brainstorming, factor analysis, hierarchical structuring, and weighting analysis were performed by applying a classical analysis method. RESULTS: By the result of analysis it is shown that unlike car drivers, bus drivers prefer information related to bus intervals, bus stop, and door open and close to information related to vehicle running. Also, bus stop information and bus interval information were ranked as first and second place in order priority of HUD contents for public transit by experts. CONCLUSIONS: This method of selecting order priority of HUD contents for public transit can provide a basic foundation for selecting order priority of traffic information contents as well as other HUD contents.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2001.11a
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• pp.65-68
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• 2001

Color is an imfortant factor for interior design. But both selecting the appropriate color and combinating many color are not easy. Actually designers spend much time searching interior images published in magazine to refer to previous cases of the color combination. And the side up, they undergo a process to try to search own hoping color in the interior design example of the magazine. As an alternative to avoid this inefficient process, this study provides a method to show good cases of color combination. This method can reduce trial and error in the determination the color combination.

• Journal of Korea Port Economic Association
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• v.35 no.3
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• pp.41-60
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• 2019

This study aims to identify factors that pharmaceutical logistics companies must consider when selecting a logistics center; it also aims to analyze the importance-satisfaction-of these factors by using IPA. The main results are as follows. First, overall, the aforementioned factors are divided into logistics factor, economic factor, environmental factor, and policy factor, and most of the specific attributes of each main factor are less satisfied than the importance. Second, the users of pharmaceutical logistics are divided into producers, distributors, clinics, and pharmacies. The analysis of each user shows a need to improve logistics factors as well as an overinvestment in environmental factors. The results can provide drug distribution companies directions for selecting logistics centers as well as strategic implications.

• Physical Therapy Rehabilitation Science
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• v.2 no.1
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• pp.49-56
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• 2013

Objective: To examine the relations between satisfaction in major, academic achievement and five personality factors of physical therapy students. Design: Questionnaire study. Methods: In order for a complete enumeration when selecting study subjects, we selected five representative schools through raffles. For about three weeks from May 21st to June 16th 2012, we distributed self-administered questionnaires comprised of questions related to five personality factor characteristics, satisfaction in major and academic achievement. Total of 510 questionnaires were distributed and 442 questionnaires were returned. Except the castle is not answered or unanswered call 73 questionnaire collected data from the 369 call. And 369 questionnaires were used for analysis. The frequency analysis was conducted to examine general characteristics of subjects. Results: In the analysis of differences in personality factors for each individual variable in accordance with sex, women had higher degree of neuroticism than men (p<0.05). Also men showed higher openness than women (p<0.05). In the analysis of differences in personality factors for each individual variable in accordance with age, the lower the age was, the higher the degree of neuroticism was (p<0.05). For satisfaction in major, "Satisfaction in school life" and "Motive for selecting the major"were significant factors (p<0.05). academic achievement, "School type" and "Motive for selecting the major" were significant factors (p<0.05). Conclusions: In regards to the satisfaction in major and academic achievement, "Motive for selecting the major" was the major significant factor. Students who had high interest in their majors expressed higher satisfaction, which the in turn correlated with higher academic achievement.

• Korean Institute of Interior Design Journal
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• no.25
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• pp.290-294
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• 2000

Between multiple components of the building, materials have a direct impact on the environment. For many researchers have proposed guidelines for green design materials. However they didnt provide concrete criteria for selecting materials for selecting materials for achieving green design. From the perspective of this point, this paper proposes. Performance information expressed numerically is the most important factor. The purpose of this study is to provide the specific information about the performance of materials that has been ranked quantitatively. The performance information can be utilited in selecting materials for green design.