• Title/Summary/Keyword: information demand

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Video on Demand 서비스

  • 임흥순
    • Information and Communications Magazine
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    • v.11 no.3
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    • pp.50-58
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    • 1994
  • 정보고속도로 구축과 더불어 가장 먼저 대두되는 서비스로 비디오 대역 서비스, Video On Demand가 주목되고 있다. 우리나라 말로 하면 $\ulcorner$요구즉시형 비디오$\lrcorner$라 불리운다. 가입자가 비디오 가계에 직접 가지 않고 가입자 장비를 통해 선택하면 바로 극장에서와 같은 화질의 비디오가 2,3분 내에 방영되는 것이다. 본고에서는 이 서비스에 대한 개요, 및 구성에 대해 고찰 해 보겠다.

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Method of Demand Forecasting for Demand Controller (최대수요전력 관리 장치의 최대수요전력 예측 방법에 관한 연구)

  • Kwon, Yong-Hun;Kim, Ho-Jin;Kong, In-Yeup
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.833-836
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    • 2012
  • Demand Controller is a load control device that monitor the current power consumption and calculate the forecast power to not exceed the power set by consumer. Accurate demand forecasting is important because of controlling the load use the way that sound a warning and then blocking the load when if forecasted demand exceed the power set by consumer. When if consumer with fluctuating power consumption use the existing forecasting method, management of demand control has the disadvantage of not stable. In this paper, examine the existing forecasting method and the exponential smoothing method, and then propose the forecasting method using Kalman Filter algorithm.

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A Study on the Forecast of Industrial Land Demand and the Location Decision of Industrial Complexes - In Case of Anseong City (산업용지 수요예측 및 산업단지 입지선정에 관한 연구 - 안성시를 사례로 -)

  • Cho, Kyu-Young;Park, Heon-Soo;Chung, Il-Hoon
    • Journal of Korean Society of Rural Planning
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    • v.14 no.3
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    • pp.37-51
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    • 2008
  • This study aims to build a model dealing with the location decision of new manufacturing firms and their land demand. The model is composed with 1) the binary logit model structure identifying a future probability of manufacturing firms to locate in a city and their land demand; and 2) the land use suitability of the land demand. The model was empirically tested in the case of Anseong City. We used establishment-level data for the manufacturing industry from the Report on Mining and Manufacturing Survey. 48 industry groups were scrutinized to find the location probability in the city and their land demand via logit model with the dependent variables: number of employment, land capital, building capital, total products, and value-added for a new industry since 2001. It is forecasted that the future land areas (to 2025) for the manufacturing industries in the city are $5.94km^2$ and additional land demand for clustering the existing industries scattered over the city is $2.lkm^2$. Five industrial complex locations were identified through the land use suitability analysis.

A Study on the Development of Decision Support Program for the Survey of Land Supply and Demand (토지 공급 및 수요조사를 위한 의사결정지원 프로그램 구축 연구)

  • Lee, Sanghun;Kim, Misuk;Lee, Yunsang
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.2
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    • pp.79-90
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    • 2018
  • This study aims to provide the system to help decision making by finding key indicators used in land supply and demand surveys, and by developing storage priority areas and projects. As problems arose such as the rising cost of public projects or disruptions to business progress due to the rapid rise in land prices and the cost of compensation for public projects in the past, a new land policy was adopted and the land reserve system was established in 2009. At that time, The bank's goal was to conserve 2 trillion won of land per year, but the result was sluggish as it accumulated a total of 1.6 trillion won from 2009 to 2015. The reason for this sluggish result is that the type and quantity of indicators are still extensive and the survey of land supply and demand has a problem of poor utilization. In order to make up for the sluggishness, we made key indicators used in land supply and demand surveys using the question investigation, and analyzed the priority of the project areas. This study provide the system to help decision making by finding key indicators used in land supply and demand surveys, and the priorities of project areas.

Optimal Operation for Green Supply Chain Considering Demand Information, Collection Incentive and Quality of Recycling Parts

  • Watanabe, Takeshi;Kusukawa, Etsuko
    • Industrial Engineering and Management Systems
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    • v.13 no.2
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    • pp.129-147
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    • 2014
  • This study proposes an optimal operational policy for a green supply chain (GSC) where a retailer pays an incentive for collection of used products from customers and determines the optimal order quantity of a single product under uncertainty in product demand. A manufacturer produces the optimal order quantity of product using recyclable parts with acceptable quality levels and covers a part of the retailer's incentive from the recycled parts. Here, two scenarios for the product demand are assumed as: the distribution of product demand is known, and only both mean and variance are known. This paper develops mathematical models to find how order quantity, collection incentive of used products and lower limit of quality level for recycling affect the expected profits of each member and the whole supply chain under both a decentralized GSC (DGSC) and an integrated GSC (IGSC). The analysis numerically compares the results under DGSC with those under IGSC for each scenario of product demand. Also, the effect of the quality of the recyclable parts on the optimal decisions is shown. Moreover, supply chain coordination to shift the optimal decisions of IGSC is discussed based on: I) profit ratio, II) Nash bargaining solution, and III) Combination of (I) and (II).

A Study of Curriculum on Vocational High School under Analysis e-Business Demand Education (e-Business Demand Education 분석에 따른 전문계고 Curriculum 연구)

  • An, Jae-Min;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.8
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    • pp.73-80
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    • 2009
  • It is difficult that expertise human supply and demand for industry requires by imbalance of industry necessity human and profession organs of education's Skill Mismatch. Industry can prove productivity though reeducate school graduation person in spot and master correct technology in industry special quality. This paper is research that accommodate Demand Education that industry requires and make out full text caution Curriculum Specializing Vocational High School in e-Business field. Analysis e-Business industrial classification and occupational classification. Analysis knowledge and technological level that require in industry about e-Business education and investigate and analyze the demand. Base industry, Support industry, Apply e-Business Curriculum that is examined by practical use industry to learning, Do to estimate satisfaction about Demand Education Curriculum of industry and confirm Success special quality with research and investigation and application wave. Suggested for e-Business Curriculum's basis model in this paper and school subject Curriculum. Wish to contribute in nation development through productivity elevation through e-Business education of industry request.

Services and technologies for emerging local access demand

  • 이용환
    • The Magazine of the IEIE
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    • v.25 no.4
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    • pp.14-26
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    • 1998
  • Emergence of the Interned, World Wide Web (WWW), and multimedia services accelerates the demand for broadband access to mass market. As the demand for broader bandwidth for local access rapidly increases, new types of services for local access have been offered or are being developed. However, nothing has yet been shown up for a definite long-term solution. In this article, we address some issues and technological perspectives of such emerging local access demand.

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Study on Simulator for computing Demand Rate using Index of Transformer's Demand Rate (변압기 용량 지수를 이용한 수용률 산정 시뮬레이터 개발에 관한 연구)

  • Kim, Young-Il
    • Proceedings of the KIEE Conference
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    • 2007.11c
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    • pp.97-100
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    • 2007
  • There are regulations on each building for its classification and It is corresponding determined contract demand. For transformer's capability calculation algorithm, cumulated power information of each customer is used to analysis the correlation between power usage and Demand Rate. By modeling this using Least Square Method, it can be targeted to recognize the pattern of transformer use in the past and make a prediction on it in the future.

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Forecasting of Domestic Beef Demand Using Exponential Smoothing Model (지수평활모형을 이용한 국내 소고기 수요예측)

  • Kim, Woo-Seok;Um, Ji-Bum
    • Korean Journal of Organic Agriculture
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    • v.30 no.2
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    • pp.231-239
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    • 2022
  • The purpose of this study is to provide meaningful information for various stakeholders' decision-making process through forecasting of domestic beef demand. Three different exponential smoothing models were evaluated, and a double exponential smoothing model was used to forecast domestic beef demand based on time-series data, As a result of the forecast, domestic beef consumption is expected to increase by 37,000 to 40,000 tons per year from 2020 to 2025.

An Analysis on the Preference and Use-Demand Forecasting of Bus Information (버스정보의 선호도 및 이용수요 예측에 관한 연구)

  • Lee, Won Gyu;Jung, Hun Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6D
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    • pp.791-799
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    • 2008
  • To build the system which has high utilization and usefulness for users, it is necessary to know the information type and use-demand that the use want. The purpose of this study is to forecast the preference and demand of utilization for bus information when bus information is offered through cellular phon. The accomplishments of this research are as follow : Firstly, importance on the level of individual factor and the value of change's figure can be evaluated, using preference analysis on bus information by conjoint analysis. Secondly, by establishing the use-demand model bus information using binary logit model, influence factor on whether or not the use of the user. Finally, ordered probit model was built by use behavior model in payment per call or per month of potential user of bus information. Through call times and sensitive analysis by payment methods, elasticity point, optimal payment fee, and use probability was analyzed. This study make application as basic to efficient bus information policy and to improve use rate of bus information in future because this study make it possible to get preference analysis, use-demand analysis and estimation of optimal payment fee which is reflecting various requirement in use of bus information user.