• 한국주거학회논문집
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• 제3권1호
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• pp.21-33
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• 1992

The purpose of this research was to find empirical evidence to support the varidity of developing a three generation family apartment as a cultural housing model In Korea. This was done through interviews, a questionnaire mailing survey and the delphi method.Major findings were as follows;There was a string preference for the elderly to live together with their married children, whereas their married children preferred to live independently, being separated from their old parents.Housewives of the younger generation recognized many advantages or good points of the three generation living together. They, however pointed out many disadvantages as well. Most of the good points were related to psychological comfortableness steming from living close each other, while most of the bad points to behavioral constraints steming from living together in one residential unit. This suggested that a new type of heusing, which provides privacy for each generation as well as the feeling of closeness between the two generations, needs to be developed to disseminate positive aspects of the three generation family cuture.There is a concensus among professionals that the three generation family apartment is a promising cultural housing model in korea, especially for the elderly in Korea.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 춘계학술대회 학술발표 논문집 제15권 제1호
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• pp.139-142
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• 2005

This paper describes an automatic finite element (FE) mesh generation for three-dimensional structures consisting of free-form surfaces. This mesh generation process consists of three subprocesses: (a) definition of geometric model, i.e. analysis model, (b) generation of nodes, and (c) generation of elements. One of commercial sol id modelers is employed for three-dimensional sol id structures. Node is generated if its distance from existing node points is similar to the node spacing function at the point. The node spacing function is well control led by the fuzzy knowledge processing. The Delaunay method is introduced as a basic tool for element generation. Automatic generation of FE meshes for three-dimensional sol id structures holds great benefits for analyses. Practical performances of the present system are demonstrated through several mesh generations for three-dimensional complex geometry.

• 대한산업공학회지
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• 제39권3호
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• pp.183-191
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• 2013

We address the power generation mix problem that considers not only nuclear and fossil fuels such as oil, coal and LNG but also renewable energy technologies. Unlike nuclear or other generation technologies, the expansion plan of renewable energy is highly uncertain because of its dependency on the government policy and uncertainty associated with technology improvements. To address this issue, we conduct a delphi survey and forecast the capacity of renewable energy. We further propose a stochastic mixed integer programming model that determines an optimal capacity expansion and the amount of power generation using each generation technology. Using the proposed model, we test eight generation mix scenarios and particularly evaluate how much the expansion of renewable energy contributes to the total costs for power generation in Korea. The evaluation results show that the use of renewable energy incurs additional costs.

• 한국식생활문화학회지
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• 제36권3호
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• pp.284-292
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• 2021

The food service industry has grown larger with changes in the economic and socio-cultural environment. In this saturated food service industry, generation X and MZ are the main consumer forces that demand attention. That is because a generation is the main psychographic factor that reflects personal values and lifestyle based on one's life cycle. From such a perspective, a generation in marketing has been used as a variable to predict a market by supplementing demographic factors. Accordingly, this study classified generations into generation X and generation MZ with the use of the 2019 consumer behavior survey for food by Korea Rural Economic Institute (KREI) and then investigated the factors influencing group and personal dining-out expenses. The analysis was carried out applying the Tobit model using SPSS and R. The positively influential variables on generation X's personal dining-out expenditure were male, single person, high income and simple lifestyle, whereas housewives, personal ethical consciousness, behavioral ethical consciousness, and safe dietary life were negatively influential variables. The positively influential variables on generation MZ's personal dining-out expenditures were male, dual-income, high education level, corporate and governmental ethical consciousness, while the number of family members and safe dietary life were negatively influential variables.

• Fibers and Polymers
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• 제5권1호
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• pp.12-18
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• 2004

A parametric body model generation system has been developed. Using various mathematic and geometric algorithms of this system, a three-dimensionally scanned human body can be converted into a resizable body model. Once a parametric body model is formed, its size and shape can be modified instantaneously by providing appropriate anthropometric data. To facilitate the subsequent pattern arrangement process for garment drape simulation, a bounding box generation algorithm has been developed in this study. Also the model can be converted into a set of parametric surfaces that it can also be used for three-dimensional garment pattern design system.

• 한국태양에너지학회 논문집
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• 제39권6호
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• pp.113-125
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• 2019

With the opening of the small power brokerage business market in December 2018, the small power trading market has started in Korea. Operators must submit the day-ahead estimates of power output and receive incentives based on its accuracy. Therefore, the accuracy of power generation forecasts is directly affects profits of the operators. The forecasting process for power generation can be divided into two procedure. The first is to forecast solar irradiation and the second is to transform forecasted solar irradiation into power generation. There are two methods for transformation. One is to simulate with physical model, and another is to use regression model. In this study, we found the best-fit regression model by analyzing hourly data of PV output and solar irradiation data during three years for 242 PV plants in Korea. The best model was not a linear model, but a sigmoidal model and specifically a Gompertz model. The combined linear regression and Gompertz curve was proposed because a the curve has non-zero y-intercept. As the result, R² and RMSE between observed data and the curve was significantly reduced.

• 대한공간정보학회지
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• 제13권1호
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• pp.55-61
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• 2005

정사영상 생성, 도시 공간의 모형차 등 도면화의 다양한 응용분야에 적용을 위해서는 위성영상으로부터 수치고도모형을 생성하는 것은 중요하며, SPOT-5, IKONOS, QUICKBIRD, ORBVIEW 등의 고해상도 위성영상은 효율적이고 경제적으로 수치고도모형을 생성할 수 있는 정보를 제공하고 있다. 그러나, 이들 고해상도 위성영상으로부터 수치고도모형을 생성하기 위해서는 센서모형화, 에피폴라 영상 생성 그리고 영상정합에 대한 사전지식이 필요하다. 이들 중 에피폴라 영상생성은 중요한 인자이며 이에 대한 연구는 아직 미흡한 실정이다. 뿐만 아니라, IKONOS 위성영상으로부터 수치고도모형을 생성하는 연구는 다항식비례모형에 기반한 연구가 주로 이루어졌다. 이에 본 연구에서는 센서 독립적이면서 적은 수의 기준점만으로 센서모형화와 에피폴라 영상생성이 가능한 평행투영모형을 이용하여 수치고도모형을 생성하는 일련의 처리과정을 새롭게 제안하였다. 제안된 방법론은 IKONOS 위성영상을 이용하여 적용하고 평가하였다.

• 한국ITS학회 논문지
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• 제10권6호
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• pp.126-139
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• 2011

4단계 교통수요 추정법은 순차성에 의해 선행단계의 추정결과에 근거하여 모형을 수립한다. 그러므로 전 단계에서 정확한 분석이 이루어지지 않으면 다음 단계에서의 정확한 분석 결과를 기대하기 어렵다. 특히 통행발생은 4단계모형의 첫번째 단계로 이 단계의 추정결과에 따라 전체 수요예측에 크게 영향을 미치는 것을 알 수 있다. 기존 수도권 통행발생모형은 선형회귀 모형식을 이용하여 서울 및 수도권지역의 통행발생모형을 구축하였으나 다양한 토지이용 특성을 반영하지 못한다는 단점을 가지고 있으며, 4단계 모형에서 발생되는 오차를 크게 하는 요인으로 작용하고 있다. 따라서 본 연구는 기존 통행발생모형의 한계를 개선하기 위해 토지이용 특성을 반영한 통행발생모형을 구축하고자 한다. 모형 개선을 위해 존의 사회경제지표 및 토지이용을 변수로 사용하였고, 검증을 위해 기존모형식과 RMSE%값을 비교분석하였다. 그 결과 기존모형은 주거 특성이 강한지역의 추정에서는 오차범위가 적으나, 2 3차 산업비중이 높은 지역에서는 설명력이 떨어지는 것으로 분석되었다. 또한 각 목적별 모형이 전반적으로 기존모형보다 오차가 적은 것으로 나타났다. 따라서 본 연구에서 제시한 사회경제지표 및 토지이용변수를 활용하여 각 지역별 모형을 추정한 결과가 기존 연구보다 우수한 것을 알 수 있었다.

• 한국의류산업학회지
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• 제7권3호
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• pp.291-300
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• 2005

The purpose of this study is to investigate, analyze the purchasing behavior of fashion goods according to life style and role model of preteen generation, and provide manager or marketing planner for the reference data so that they can understand preteen generation and make proper strategy efficiently. So called, preteen market focusing on 1014 generation (from ten to fourteen years old) is highlighted. This generation created between the year 1989 to 1993 after Seoul Olympic monopolize parent's love in abundant economic environment and rise to the core of consumption subject. Products aiming at this preteen generation continuously though consumption mind was shrunk greatly due to recession. Only 2~3 years before preteen market was regarded as grey zone which doesn't belong to not only children (between six and nine years old) but also teenagers (between fifteen to eighteen years old). But in recent day their purchasing powers have increased rapidly and age group is divided on details, so that preteen market has become a niche market. Subjects were 333 persons consisting of students in the 4th~6th grade of primary school and the 1st~2nd grade of middle school in Daegu city. Measuring instruments are as follows: 5questions to differentiate preteen generation, 22 questions to measure life style, 17questions (which have six sub-factors such as purchase motive, factor of product selection, utilization of informant, purchase time, purchase place, and purchase method) to measure the purchase behavior of fashion goods measurement, and 16 questions (which have four sub-factors such as parent, entertainer & sports stars, brothers and sisters, friends) to measure model of role. Statistical data were processed by SPSS 10.0 programs. Frequencies, Factor analysis, Cluster analysis, ANOVA, Cross analysis, Multiplex regression analysis, and Duncan's multiple range test were carried out.

• 디지털콘텐츠학회 논문지
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• 제17권3호
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• pp.157-164
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• 2016

태양광 발전량은 날씨에 큰 영향을 받는다. 기상 예보를 사용할 수 있는 환경이라면, 기상 예보 정보를 사용하여 미래의 태양광 발전량을 단기예측 할 수 있다. 하지만, 섬이나 산과 같이 네트워크의 단절에 의해 기상예보 정보를 사용할 수 없는 제한된 환경에서는 기상예보를 사용한 태양광 발전량 예측 모델을 사용할 수 없다. 따라서 본 논문에서는 시스템 자체적으로 수집할 수 있는 정보만을 이용하여 태양광 발전량을 단기 예측할 수 있는 시스템을 제안하였다. 예측의 정확도를 높이기 위하여 이전 온도정보와 발전량 정보를 이용하여 단기 예측모델을 생성하였다. 실험을 통하여 실데이터에 제안한 예측 모델을 적용하여 유용한 결과를 보였다.