• 제목/요약/키워드: Demand Analysis

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화재위험성 예측평가분야 교육과정의 전공 적합도에 대한 수요조사 (A Demand Survey on Major Fitness of Curriculum of Fire Risk Prediction and Assessment)

  • 이세명
    • 한국화재소방학회논문지
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    • 제30권6호
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    • pp.130-136
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    • 2016
  • 대학이 산업수요 맞춤형 인재양성 교육체계를 갖추어 나가기 위해서는 수요자의 입장에서 교육과정을 분석하고 개선해 나갈 필요가 있다. 이러한 취지에서 본 논문은 화재위험성 예측평가분야 교육과정의 전공 적합도를 평가하기 위해 소방관련 산업체 종사자를 대상으로 수요조사를 하였으며 그 결과를 토대로 기술통계분석, 요인분석, 군집분석 그리고 일원분산분석을 실시하였다. 분석 결과, 소방관련 산업체 종사자들은 화재위험성 예측평가 분야의 교육과정이 전공에 적합하다고 평가하였다. 그리고 화재위험성 예측평가분야의 교과목 중 전공기초과목과 전공공통과목의 필요성을 크게 인식하고 있었다. 이러한 분석결과는 향후 지속적으로 교육과정을 개선해 나가는데 기초자료로 활용할 계획이다.

함수 주성분 분석을 이용한 한국의 장기 에너지 수요예측 (Long-term Energy Demand Forecast in Korea Using Functional Principal Component Analysis)

  • 최용옥;양현진
    • 자원ㆍ환경경제연구
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    • 제28권3호
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    • pp.437-465
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    • 2019
  • 본 연구에서는 장기 전력 수요와 GDP 사이의 소득계수를 시간과 GDP의 값에 따라 변화하도록 모형화한 Chang et al.(2016)에 기반을 두어 장기 에너지 수요의 예측에 관련된 새로운 방법을 제안한다. 본 논문에서는 장기 에너지와 GDP 사이의 소득계수를 함수로 표현하고, 함수 주성분 분석(Functional Principal Component Analysis)을 통하여 함수계수(Functional Coefficient)를 예측하고 이를 장기 에너지 수요 예측에 적용한다. 또한 함수계수를 비모수적으로 추정할 때 너비띠 모수를 예측 실험 오차를 최소화하도록 설정하는 방식을 제안하였고 개별 국가의 함수계수 변화 패턴을 반영하여 개별 국가의 특수성을 반영하는 예측 방법도 제시한다. 실증분석에서는 전 세계 에너지 데이터를 이용하여 한국의 장기 에너지 수요 예측을 본 논문에서 제시한 방법으로 예측하고, 기존의 방법들 보다 안정적인 장기 에너지 수요 예측이 가능함을 보였다.

On-Demand Ad-Hoc망에서의 이동 호스트의 성능분석 (Performance analysis of Mobile Hosts based on On-Demand Ad-Hoc Networks)

  • 하윤식;송창안;김동일
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2003년도 춘계종합학술대회
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    • pp.213-217
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    • 2003
  • Ad-Hoc망은 어떠한 집중화된 관리 혹은 표준 지원 서비스의 도움 없이 임시 네트워크를 형성시킨 무선 이동 호스트들의 집합으로서 고정된 라우터 없이 이동 호스트들이 라우터로 동작하므로 기존의 라우팅 프로토콜 알고리즘들은 효율적일 수 없다. Ad-Hoc망의 프로토콜은 크게 Table-Driven 경로 선정 알고리즘과 On-Demand 경로선정 알고리즘으로 나눌 수 있고 이론적인 면에서는 On-Demand 경로설정 방식의 절차가 더 효율적인 방식으로 제시되고 있다. 본 논문에서는 On-Demand Ad-Hoc망에서 AODV, DSR 라우팅 프로토콜의 노드 당 처리율을 시뮬레이션을 통해 분석하였다.

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신규 주택단지 전력수요 산정 기준 정립 (Criterion Thesis for Estimation of Power Demand in New Housing Development)

  • 최상봉;남기영;김대경;정성환;류희석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 추계학술대회 논문집 전력기술부문
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    • pp.145-147
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    • 2002
  • Recently, according to business conditions ;in domestic are beginning to liven up, there is a lively discussion about new housing construction around the center of the Metropolitan area. It is considerable difficult for estimation of power demand exactly to expand power facilities in these area. However. criterion thesis for estimation of power demand which has been applied in present condition is already passed through the 10 years, the reliability to calculate power demand in these area go down far away. Accordingly, it is raised for methodology to evaluate new type of power demand in new housing development in domestic. This paper presents new criterion thesis for estimation of power demand in new housing development through survey and analysis in example area.

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시스템다이내믹스 기반의 다세대 확산 수요 예측 : 이동통신 가입자 수요 예측 적용사례 (Forecasting Multi-Generation Diffusion Demand based on System Dynamics : A Case for Forecasting Mobile Subscription Demand)

  • 송희석;김재경
    • Journal of Information Technology Applications and Management
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    • 제24권2호
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    • pp.81-96
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    • 2017
  • Forecasting long-term mobile service demand is inevitable to establish an effective frequency management policy despite the lack of reliability of forecast results. The statistical forecasting method has limitations in analyzing how the forecasting result changes when the scenario for various drivers such as consumer usage pattern or market structure for mobile communication service is changed. In this study, we propose a dynamic model of the mobile communication service market using system dynamics technique and forecast the future demand for long-term mobile communication subscriber based on the dynamic model, and also experiment on the change pattern of subscriber demand under various scenarios.

인구통계적 특성에 따른 자외선차단모자의 요구성능과 선호도 (Demand Performance and Preference of UV Protective Hat with Demographic Characteristics)

  • 강미정;권영아
    • 한국의류산업학회지
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    • 제12권3호
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    • pp.372-380
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    • 2010
  • The purpose of this study were to investigate a preference and demand performance of UV protective hat for outdoor sports activities. Data collected from 259 adults from survey were analyzed by frequence analysis, crosstabs, t-test, and ANOVA using SPSS 17.0. The results are as follows. A demand performanc of UV protective hats were a demand performance for designs, colors, fabrics, lightness, UV protection, and easy care. It showed that the respondents worn the hats for skin health and didn't wear for sun block. The demand performance of UV protective hat showed difference according to gender and age. The favorite type of UV protective hat was cap, and there was no difference between young and old age. Male preferred the cap styles, while female preferred the wide brim styles for UV protection. The preferred fiber contents of the respondents were cotton and functional fiber.

전력소비자의 단기수요예측을 위한 전력소비패턴과 환경요인과의 관계 분석 (Relationship Analysis of Power Consumption Pattern and Environmental Factor for a Consumer's Short-term Demand Forecast)

  • 고종민;송재주;김영일;양일권
    • 전기학회논문지
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    • 제59권11호
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    • pp.1956-1963
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    • 2010
  • Studies on the development of various energy management programs and real-time bidirectional information infrastructures have been actively conducted to promote the reduction of power demands and CO2 emissions effectively. In the conventional energy management programs, the demand response program that can transition or transfer the power use spontaneously for power prices and other signals has been largely used throughout the inside and outside of the country. For measuring the effect of such demand response program, it is necessary to exactly estimate short-term loads. In this study, the power consumption patterns in both individual and group consumers were analyzed to estimate the exact short-term loads, and the relationship between the actual power consumption and seasonal factors was also analyzed.

장애아동 양육을 위한 어머니의 정보요구에 관한 연구 (Information Needs Expressed by Mothers of Young Children with Disabilities)

  • 정귀옥;이종렬;박천만
    • 보건교육건강증진학회지
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    • 제22권2호
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    • pp.195-213
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    • 2005
  • Objectives: This study aims to determine fostering stress and mental health state that mothers of handicapped children perceive as primary care givers and to analyze their demand for information assistance in order to release their stress so that it can provide materials that contribute to establishment of assistance system for families with handicapped children. Methods: The research subjects were 340 mothers whose children went to a nursery for special children, 3 general nurseries and 6 special schools in Daegu, and the data were collected using structures questionnaires. The survey analyzed mothers' fostering stress, their demand for fostering information assistance, children's daily activity abilities. Component concepts of each scale was validated by adopting confirmatory factor analysis, and factors affecting demand for fostering information assistance were analyzed by adopting covariance structural analysis. Results: Younger mothers tend to have higher demand for information, and mothers with younger children or children with double handicaps also have higher demand. Mothers under 30 have the lowest demand for public health and medical care assistance and for home and community life assistance, while mothers with children with physical handicaps have the highest. The validity of component concepts was verified by categorizing as cognitive structure models fostering stress, information demand, children's daily activity abilities, and their appropriateness was evaluated through confirmatory factor analysis using structural equation modelling. And then, GFI (more than 0.9), CFI (more than 0.9), TLI (more than 0.9) and RMSAE (less than 0.08) were used to evaluate the appropriateness. It was found that all the component concepts are valid, as every item is within appropriate range. The result of analyzing information demand demonstrated that children's handicap levels significantly affect their mothers' mental health, while fostering stress significantly affect mothers' metal health, information demand. As well, it was confirmed that mothers' mental health has a significant effect on information demand. Conclusions: Therefore, to reduce special children's mothers' uncertainty, helplessness and fostering burden, it is necessary to provide them with information on children's challenges, development and fostering and to offer them quality public health, medical care and welfare assistance along with family and local community life assistance.

주차원단위 분석을 통한 주택의 주차수요산정기법 연구 (Calculation Methods of Parking Demand for Housing Using Parking Basic Units Analysis)

  • 이영우
    • 대한교통학회지
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    • 제26권4호
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    • pp.149-157
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    • 2008
  • 급격한 도시화는 다양한 교통문제를 유발하였으며 그 중에서도 주차문제는 시급히 해결해야할 문제로 인식되고 있다. 주차문제 해결을 위해서는 주차수요 산정이 필수적으로 요구된다. 그러나 주차수요 산정을 위한 기준자료로 활용되고 있는 주차원단위는 현실을 충분히 반영하지 못하는 문제점이 있어 주차원단위의 새로운 기준에 대한 요구가 증대되고 있다. 따라서 본 연구에서는 현장조사를 통해 기존 주차원단위 산정에 대한 문제점을 분석하고 많은 시설물들이 주차수요를 충분히 반영할 수 있는 주차원단위에 대해 검토하고 새로운 주차수요 산정 모형을 구축하였다. 주차원단위의 평균에 의한 방법과 회귀분석에 의해 산정하는 기존 두 가지 방법으로 주차원단위를 산정하여 적용하는 경우 조사대상 시설물 중 많은 시설물의 주차수요를 만족시키지 못하는 것으로 분석되어 주택가의 주차문제 발생의 원인이 되고 있는 것으로 판단되었다. 따라서 어느 정도의 시설물이 주차수요를 만족하도록 주차원단위를 적용하는 것이 효율적인지를 주차원단위 누적분포 분석을 통해 검토한 결과 88%의 시설물이 주차수요를 만족하도록 주차원단위를 적용하는 것이 가장 효율적인 것으로 나타났다. 조사대상 시설물 중 88%가 주차수요를 만족하도록 주차원단위를 적용한 결과 연면적이 커질수록 주차수요가 과대 추정되는 현상이 발생하는 문제점이 나타나 본 연구에서는 최종적으로 새로운 비선형 주차수요 산정 모형을 구축하였다.

개선된 수요 클러스터링 기법을 이용한 발전기 보수정지계획 모델링 (Modeling Planned Maintenance Outage of Generators Based on Advanced Demand Clustering Algorithms)

  • 김진호;박종배
    • 대한전기학회논문지:전력기술부문A
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    • 제55권4호
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    • pp.172-178
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    • 2006
  • In this paper, an advanced demand clustering algorithm which can explore the planned maintenance outage of generators in changed electricity industry is proposed. The major contribution of this paper can be captured in the development of the long-term estimates for the generation availability considering planned maintenance outage. Two conflicting viewpoints, one of which is reliability-focused and the other is economy-focused, are incorporated in the development of estimates of maintenance outage based on the advanced demand clustering algorithm. Based on the advanced clustering algorithm, in each demand cluster, conventional effective outage of generators which conceptually capture maintenance and forced outage of generators, are newly defined in order to properly address the characteristic of the planned maintenance outage in changed electricity markets. First, initial market demand is classified into multiple demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the initial demand. Then, based on the advanced demand clustering algorithm, the planned maintenance outages and corresponding effective outages of generators are reevaluated. Finally, the conventional demand clusters are newly classified in order to reflect the improved effective outages of generation markets. We have found that the revision of the demand clusters can change the number of the initial demand clusters, which cannot be captured in the conventional demand clustering process. Therefore, it can be seen that electricity market situations, which can also be classified into several groups which show similar patterns, can be more accurately clustered. From this the fundamental characteristics of power systems can be more efficiently analyzed, for this advanced classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.