• 제목/요약/키워드: area component ratio

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부산시 아파트 단위평면의 공.사실 면적구성에 관한 연구 - 시기별 면적구성 변화 및 거주자의 주생활 행위 요인을 중심으로 - (A Study on the Area Component of Public.Private Space on Apartment Unit Plan in Busan City - focused on the change of periodical area component ratio and the behavioral patterns of residents -)

  • 송대호
    • 한국주거학회논문집
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    • 제17권5호
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    • pp.159-167
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    • 2006
  • This study is analyzed comparison about the component ratio of dwelling space in the existing plan and residents dwelling needs. Also, it is analyzed the residence factors of area component change that residence satisfaction and importance according to the behavioral patterns of residents. The results are as follows. 1) Total area component ratio of the existing plan was 39.5:40.8:19.7% and dwelling consciousness one was 36.4:44.0:19.6%. Compared private space with public space, public area requested increase rather than private area. 2) In the 17, 19pyung-types dwellers are not happy about dining kitchen and utility room and types of 21, 23pyung-types are dissatisfied in room-2 and room-3, living room and dining kitchen are dissatisfied, too. In case of areas over 25pyung-types are dissatisfied in room-3 and room-4. 3) The behavioral patterns of apartment residents were classified six acts, and the most significant factors are appeared associated the acts of ceremony, relation of neighborship, and reception. The next significant factors are appeared associated the acts of family relation, about food life. So, it is concerned with the scale of public room.

주성분분석(PCA)기반 포유류의 얼굴 비율 연구 - 인간과 동물 20종을 중심으로 (A Study on the Face Ratio of Mammals Based on Principal Components Analysis (PCA) - Focus on 20 Species of Animals and Humans)

  • 이영숙;기대욱
    • 한국멀티미디어학회논문지
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    • 제23권12호
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    • pp.1586-1593
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    • 2020
  • This study was conducted on the face ratio of mammals. It can also be applied to character automation by checking factors about the difference between animal and human face shapes. This paper used the face and face area data generated for Deep Learning learning. In detail, the proportion factors of the area comprising the faces of 20 species of animals and humans were defined and the average ratio was calculated. Next, the proportion of each animal was analyzed using the Principal Component Analysis (PCA). Through this, we would like to propose the golden ratio of mammals.

신농촌개발을 위한 농학,공학적 정주생활권 모형의 개발(II) - 토지이용 계획 - (Development of Rural Settlement Planning Model Through Engineering and Agricultural Approach (II) -Analysis of Land Use Planning-)

  • 김홍윤;이신호;이홍주;전우형;정예표;조흥수;김영철
    • 한국농공학회지
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    • 제35권3호
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    • pp.63-73
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    • 1993
  • For a systematic approach to rural settlement planning, socio-economic and land use potentialities were analysed in 10 villages("Ri", the lowest-order administrative unit in Korea)of Izuk-myun, Anseong-gun, Kyeonggi province, the model area in this study. Socio-economic potentialities, sub-grouped into rural and urban related ones, were analysed by the principal component analysis technique, while land use potentialities by the land suitability system of which the physical analysis is based on geographical information system. The principal component of rurality is strongly related with 5 key variables such as annual increasing rate of farm households, ratio of over 1ha-households, ratio of full-time farmers, ratio of animal rearing households and the principal component of urbanity with 6 key ones such as population density, number of schools, number of shops and servicing facilities, number of daily bus routes, number of non-farm households, percentage of area of housing sites. The analysis procedure of land suitability using the geographical information system were generalized and the results of analysis on village sites and paddy and upland fields were presented. The whole land use planning was presented by the criteria of the land suitability rank and the priority order of land use. land use.

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주성분분석을 이용한 수도의 생장해석 (Principal Component Analysis for the Growth Data of Rice)

  • 한원식;채영암
    • 한국작물학회지
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    • 제31권2호
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    • pp.173-178
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    • 1986
  • 1979년에 조신력, 팔달, 진흥, 통일, 밀양2003등 5품종을 공시하여 질소수준을 0kg, 12kg, 18kg/10a에서 재배하여 15회에 걸쳐 조사한 엽후, 엽면적지수, 주당건물중과 수양 및 수양구성요소와의 관계를 주성분분석을 이용하여 분석한 결과는 다음과 같다. 1. 엽후, 엽면적지수, 주당건물중의 시계열데이타의 주성분분석에서 제 1주성분은 전기간의 평균적 크기의 대소를 표시하는 특성으로, 제 2주성분은 엽후, 엽면적지수에서는 변대의 위치, 주당건물중에서는 생육초기의 특성을 표시하는 종합특성치로 도출할 수 있었다. 2. 생장특성을 표시하는 종합특성치(주성분스코아)의 엽후는 품종간 차리가 엽면적지수 및 주당건물중은 질소수준간 차이가 인정되있다. 3. 수양 및 수량구성요소와의 관계에서 임실비율과 주당 수수가 엽면적 및 주당건물중의 스코아와 관계가 있었고 엽후와는 거의 관계가 없었으며 수양에 미치는 영향도 임실비율과 주당수수를 통해서라는 것을 알 수 있었다.

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새만금간척지 지역 대기 중 초미세먼지 (PM2.5) 오염 특성 평가 (Characteristics of Fine Particulate Matter (PM2.5) in the Atmosphere of Saemangum Reclaimed Land Area)

  • 송지한;김정수;홍성창;김진호
    • 한국농공학회논문집
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    • 제64권3호
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    • pp.25-32
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    • 2022
  • To understand the distribution characteristics of PM2.5 concentration in the Saemangeum Reclamation Area and nearby areas, three points of the background area, the occurrence area, and the affected area were selected and samples were collected for each season. The chemical composition was determined. As a result of analyzing the chemical composition contained in PM2.5, NO3- (7.2 ㎍/m3), SO42- (4.3 ㎍/m3), NH4+ (4.3 ㎍/m3), OC (2.5 ㎍/m3), Si (1.3 ㎍/m3) m3) and EC (0.5 ㎍/m3) seemed to be the main components, and NO3-, SO42-, NH4+, which are components that form secondary particles, occupied a large proportion. The composition ratio of PM2.5 was investigated in the order of ion component (56.8%) > Unknown (27.4%) > carbon component (11.8%) > heavy metal component (4.0%). During the PM2.5 high concentration case days, the ionic component accounted for 90.7% during atmospheric stagnation cases, whereas the chemical composition ratio was in the order of ionic component (51.7%) > heavy metal component (41.5%) > carbon component (6.8%) during yellow dust cases. It was found that the characteristic of PM2.5 in the Saemangeum reclaimed land and surrounding areas is mainly influenced by outside (domestic and overseas) throughout the year. Ion components accounted for the largest portion of PM2.5 components in this area, but there were few sources of SOx and NOx emission in the Seamangeum area, which are precursors for secondary particle formation. Therefore, it is judged that most of these are generated and influenced as a secondary reaction in the atmosphere from the outside.

관개용저수지 용수공급지수(IRWSI)의 확률통계 분석 (Statistical Analysis of Irrigation Reservoir Water Supply Index)

  • 김선주;이광야;강상진
    • 한국농공학회지
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    • 제40권4호
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    • pp.58-66
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    • 1998
  • Irrigation Reservoir Water Supply Index(IRWSI), which can be applied to the effective supply and management of the irrigation water resources, was developed. IRWSI was formulated as resealed nonexceedance probabilities of two hydrologic components : reservoir storage ratio and precipitation. To generate nonexceedance probability of hydrologic component, it was important to define the optimal one among the various probability distribution function in the state of nature. To define an optimal probability distribution, in this study, four types of probability distribution function were tested by the K-S fitting, and for the calculation of IRWSI, reservoir storage ratio(%) and precipitation used Normal distribution & Gamma distribution, respectively. In this study, the weight coefficients of a and b for each hydrologic component, which is precipitation and reservoir storage ratio, was decided as 0.8 and 0.2, respectively. While some studies changed weight coefficients according to the size of basin area, this study used same values without considering that. From the analysis of drought characteristics, it was found that the IRWSI was sensitive to the size of irrigation area rather than the size of basin area, and the south-eastern region of Korea had been suffered from severe drought damage.

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Development of Multi-Components Model of Cement Hydration

  • ;이한승;경제운;박기봉
    • 한국세라믹학회:학술대회논문집
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    • 한국세라믹학회 2007년도 제34회 시멘트 심포지엄
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    • pp.129-137
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    • 2007
  • This paper presents a numerical model which can predict degree of hydration of cement mineral component, such as $C_{3}S$, $C_{2}S$, $C_{3}A$, $C_{4}AF$ and microstructure of hydrating cement as a function of water to cement ratio, cement particle size distribution, cement mineral components and temperature. In this model cement particles are parked randomly in cell space and hydration process is described using a multi-component integrated kinetic model. The simulation result of degree of hydration of cement mineral component agrees well with experiment result. The content of cement hydration product, such as CSH and CH can be obtained as an accompanied result during hydration process. By introducing of equal-area projection method, water withdrawl mechanism and contact area among cement particles can be considered in detail. By using proposed method, pore size distribution of hydrating cement is predicted.

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Development of Multi-Components Model of Cement Hydration

  • ;이한승;경제운;박기봉
    • 시멘트 심포지엄
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    • 통권34호
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    • pp.129-137
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    • 2007
  • This paper presents a numerical model which can predict degree of cement mineral component, such as $C_3S$, $C_2S$, $C_3A$, $C_4AF$ and microstructure of hydrating cement as a function of water to cement ratio, cement particle size distribution, cement mineral components and temperature. In this model cement particles are parked randomly in cell space and hydration process is described using a multi-component intergrated kinetic model. The simulation result of degree of hydration of cement mineral component agrees well with experiment result. The content of cement hydration product, such as CSH and CH can be obtained as an accompanied result during hydration process. By introducing of equal-area projection method, water withdrawl mechanism and contact area among cement particles can be considered in detail. By using proposed method, pore size distribution of hydrating cement is predicted.

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간척지 농촌설계를 위한 표준농촌지역의 도출 (Extraction of Standard Rural Area for Design of Rural Settlement System in Reclaimed Land)

  • 최수명;고재군
    • 한국농공학회지
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    • 제28권2호
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    • pp.53-62
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    • 1986
  • An Idea of Standard Rural Area(SRA), the rural areas which have higher ruralities of the rice cropping region and also higher urban characteristics, was conceptualized to develop the tentative basic indices necessary for rural settlement design in reclaimed land. The SRA's were determined by a technique of the principal component analysis with relevant data from 81 counties or cities located in the west side of Korea(Chon-Nam,Chon-Buk, Chung-Nam, Kyung-Ki Do).By the definition of the SRA, the principal component analysis is seperately carried out by two subworks, analyses of rurality and urban characteristics. From the analysis, rurality of the SRA is characterized by four components which appears to describe the scale of farm management, intensive farming, soundness of farming and farming basis on rice cropping, while urban characteristics of the SRA by three components to describe the accessibility, keeping ratio of infrastructures and level of medical services. Through grouping and synthesizing two characteristics of all counties by each component score, 24 counties were classified as urban-rural harmonized region which is the same result as that obtained from the extraction index being more than 50% of available area to total area except 1 county. Therefore, SRA is defined as the group of counties having more than 50% of available area to total area.

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건물 외피 창호면적 변화에 따른 에너지 소비량에 관한 연구 (Study on the Analysis of Energy Consumption Corresponding Window Area Ratio)

  • 하대웅;박경순;손원득
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.857-862
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    • 2008
  • Window is the most demanding design component in the building design. Recently, window area in the building surface has been increased significantly in the office building. As window area increased significantly, however, the thermal load has been increased significantly due to lack of thermal performance of the outside wall. In this paper, we discussed the energy consumption of the buildings according to window area ratio. Two types of building for energy consumption analysis were made by Designbuilder v.1.4 and Energyplus v.2.0. Window area ratio was five different types ($30%{\sim}70%$) in each building. As a result, the cooling energy consumption has been decreased as window area decreased in each building. Whereas the heating energy consumption has been increased window area decreased.

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