• Title/Summary/Keyword: Need-based demand

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Smart EVs Charging Scheme for Load Leveling Considering ToU Price and Actual Data

  • Kim, Jun-Hyeok;Kim, Chul-Hwan
    • Journal of Electrical Engineering and Technology
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    • v.12 no.1
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    • pp.1-10
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    • 2017
  • With the current global need for eco-friendly energies, the large scale use of Electric Vehicles (EVs) is predicted. However, the need to frequently charge EVs to an electrical power system involves risks such as rapid increase of demand power. Therefore, in this paper, we propose a practical smart EV charging scheme considering a Time-of-Use (ToU) price to prevent the rapid increase of demand power and provide load leveling function. For a more practical analysis, we conduct simulations based on the actual distribution system and driving patterns in the Republic of Korea. Results show that the proposed method provides a proper load leveling function while preventing a rapid increase of demand power of the system.

Replica Update Propagation Using Demand-Based Tree for Weak Consistency in the Grid Database

  • Ge, Ruixuan;Jang, Yong-Il;Park, Soon-Young;Bae, Hae-Young
    • Journal of Korea Multimedia Society
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    • v.9 no.12
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    • pp.1542-1551
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    • 2006
  • In the Grid Database, some replicas will have more requests from the clients than others. A fast consistency algorithm has been presented to satisfy the high demand nodes in a shorter period of time. But it has poor performance in multiple regions of high demand for forming the island of locally consistent replicas. Then, a leader election method is proposed, whereas it needs much additional cost for periodic leader election, information storage, and message passing, Also, false leader can be created. In this paper, we propose a tree-based algorithm for replica update propagation. Leader replicas with high demand are considered as the roots of trees which are interconnected. All the other replicas are sorted and considered as nodes of the trees. Once an update occurs at any replica, it need be transmitted to the leader replicas first. Every node that receives the update propagates it to its children in the tree. The update propagation is optimized by cost reduction for fixed propagation schedule. And it is also flexible for the dynamic model in which the demand conditions change with time.

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The Impact of Employee's Perceptions of Organizational Politics and Burnout: Role of Psychological Need Satisfaction and Psychological Capital (조직정치지각이 직무소진에 미치는 영향에 있어 심리적 욕구 만족의 매개효과와 심리적 자본의 조절효과 연구)

  • Seo, Dong-Taek
    • The Journal of the Korea Contents Association
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    • v.16 no.3
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    • pp.305-318
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    • 2016
  • Perceptions of organizational politics(POPs) have stress-based effect as job demand and lead to employee's negative attitudes and behaviors. According to job demand resource model, burnout develops when high job demand deplete employee's resources, which lead employees to low levels of motivation and high levels of cynicism and frustration. Currently, in studying the relationship between POPs and burnout there is a lack of researches on certain settings and conditions. The present study examined a model in which relationship between POPs and burnout was mediated by psychological need satisfaction. And also, this study tested moderating role of psychological capital between POPs and need satisfaction. A total of 220 employees in telco and electronic manufacturing company in South Korea participated in this study. The result of this study showed that need satisfaction works as mediating variable between POPs and burnout and psychological capital had moderating effect between POPs and need satisfaction. This study proposes a new framework of POPs by examining linking mechanism of need satisfaction and psychological capital. The results of this study provide practical insight to HR practitioners and business leaders.

Development of Data Visualized Web System for Virtual Power Forecasting based on Open Sources based Location Services using Deep Learning (오픈소스 기반 지도 서비스를 이용한 딥러닝 실시간 가상 전력수요 예측 가시화 웹 시스템)

  • Lee, JeongHwi;Kim, Dong Keun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.8
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    • pp.1005-1012
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    • 2021
  • Recently, the use of various location-based services-based location information systems using maps on the web has been expanding, and there is a need for a monitoring system that can check power demand in real time as an alternative to energy saving. In this study, we developed a deep learning real-time virtual power demand prediction web system using open source-based mapping service to analyze and predict the characteristics of power demand data using deep learning. In particular, the proposed system uses the LSTM(Long Short-Term Memory) deep learning model to enable power demand and predictive analysis locally, and provides visualization of analyzed information. Future proposed systems will not only be utilized to identify and analyze the supply and demand and forecast status of energy by region, but also apply to other industrial energies.

Using QFD implementation to decide for design of electronic wave shielding paint characteristics (QFD 전개에 의한 전자파 차단도료 설계 특성 결정 방법 ; S사 사례연구 중심으로)

  • 박재현;강경식;이광배
    • Journal of the Korea Safety Management & Science
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    • v.2 no.4
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    • pp.139-151
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    • 2000
  • Developing a new commercial product, it is need to connect the end users demand of quality to the industrial technology of company. For this reason, this study is to build up the users demand for the imminent marketing product of a certain company by Analytic Hierarchy Process, analyze quantitatively users subjective thoughts collected by Group Consensus, calculate the added-value of users demands and verify the consistency of users opinions by consistency-exponential-calculation. The added value obtained by this method is substituted into a user-demand item of Quality Function Deployment. And, the technical characteristic data transferred from the extracted essential factor for developing and manufacturing a new product is substituted into a technical characteristic item of QFD. The faculty of quality is firstly finished by this procedure. But, because the relation a technical characterization with users demand do not be known in new product, Wassermans method was introduced for the correlation users demand with technology and for the processing and marketing of a new product. The all assumption on this thesis was based on the reliable real data of a certain company.

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A Study on Forecasting the Rural Rental Housing Demand (농촌 임대주택 수요분석 연구)

  • Lee, Chang-Woo;Yun, Kap-Sik
    • Journal of the Korean Institute of Rural Architecture
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    • v.19 no.3
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    • pp.33-41
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    • 2017
  • Recently, it is recognized that the increase of return farmers is an important task to revitalize rural areas. There is a growing need to improve the housing environment in rural areas by expanding rental housing supply in order to increase return farmers. The purpose of the study is to forecast the rural rental housing demand based on the questionnaire survey and to suggest the rural rental housing supply in the public sector. The rural rental housing demand consists of demand for rural residents and demand for return farmers. The survey was conducted for rural residents and potential return farmers. The rural rental housing demand was analyzed by using prospect of rural residents and return farmers in the future and the rate of intention to move into rural rental house derived from the survey. In this study, rural rental housing demand which does not take into consideration the rent level and rural rental house demand considering it are presented respectively.

A Study on the Information-Seeking Behavior of ST Information Users of the KISTI (KISTI 과학.기술정보 이용자의 정보추구행태 연구)

  • Yoon, Cheong-Ok
    • Journal of Information Management
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    • v.32 no.2
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    • pp.1-25
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    • 2001
  • The purpose of this study Is to analyze and describe the characteristics of the information needs and information seeking behavior of ST information users of the KISTI. Questionnaires were distributed to the ST information users in the academic, industrial, and scientific sectors via mail. The role of the KISTI as the specialized information source and intermediary for other institutional information sources as well as individual users and the need for improving the strategies for customer-based services and collection development were evaluated. Major findings include the need for a more comprehensive effort to collect, preserve, and communicate the ST information resources. the need for much broader collection of journals and conference proceedings to provide the documents "on demand" for users, and the need to improve DDS in general.

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User Demand-based Grid Trade Management Model (사용자 요구기반의 그리드 거래 관리 모델)

  • Ma, Yong-Beom;Lee, Jong-Sik
    • Journal of the Korea Society for Simulation
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    • v.15 no.3
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    • pp.11-21
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    • 2006
  • Importance of and need for grid resource management have accelerated in accordance with increasing development of grid computing. However, it is very complex to distribute and utilize resources efficiently in geographically dispersed environments. This is due to the different access policies and constraints of grid resource owners. Users request resources according to their needs. Operators of a grid computing system need to be able to monitor the system states for reflecting these demands. So, a grid computing system needs a resource management policy that monitors states of resources and then allocates resources. This paper proposes a user demand-based grid trade management model that provides an efficient resource management by the trade allocation based on a users' demand and providers' supply strategy. To evaluate performance, this paper measures increasing rate of resource trades, average response time of trades, and processing time utilization. Firstly, the average increasing rates of trade are 585.7% and 322.6% higher than an auction model and a double auction model. Secondly, the average response time of the user demand-based grid trade management model is maintained between 3 and 5 simulation time. Finally, it is found that the processing time utilization is an average of 145.4% and 118.0% higher than an auction model and a double auction model. These empirical results demonstrate the usefulness of the user demand-based grid trade management model.

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Survey of Demand for Medical Devices in Korean Medicine (한방의료기기 개발 수요에 대한 조사연구)

  • Kim, Ji Hye;Kim, Keun Ho;Kim, Jaeuk U.
    • The Journal of Korean Medicine
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    • v.35 no.3
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    • pp.103-115
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    • 2014
  • Objectives: The purpose of this survey was to investigate the need for new medical devices based on opinions of members of the Korean medical society. Methods: We distributed two independent questionnaires sequentially over two-week intervals to 16,510 doctors via the Korean Medical Society, and received replies from 888 and 928 doctors, respectively. The survey was carried out through a web-based questionnaire system. The first questionnaire focused on demand for new diagnostic and therapeutic medical devices that are specific for Korean medicine (KM). In contrast, the second questionnaire focused on demand for new hybrid medical devices which are useful both in Western medicine (WM) and KM. Results: In purchase intention of Korean medical devices (KMDs), demand for diagnostic devices was greater than for therapeutic ones. Among diagnostic devices, the purchase intention of 'imaging devices' ranked the highest and was followed by 'musculoskeletal diagnostic devices'. Among therapeutic KMDs, the purchase intention of 'musculoskeletal treatment devices' ranked the highest, followed by 'cranial nerve rehabilitation devices'. In the purchase intention of hybrid medical devices that can be used both in WM and KM, 'ultrasonic-based medical device' ranked the highest, followed by 'MRI-based medical device'. Conclusions: There is increasing demand for clinically useful medical devices among Korean medical doctors. Within demand for new devices, hybrid devices that can be used in both WM and KM were most strongly desired. This survey will be useful in establishing strategic plans for the development of medical devices in KM. Keywords: Korean medicine, medical device, demand survey, questionnaire.

Shapley Value-Based Method for Calculating the Contribution of Retail Customers Participating in Demand Response Program (Shapley Value를 이용한 수요반응 프로그램 참여자의 전력 구매비용 절감 기여도 산정)

  • Kim, Ji-Hui;Wi, Young-Min;Joo, Sung-Kwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.12
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    • pp.2354-2358
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    • 2009
  • Demand response (DR) can be used to improve the efficiency of electricity markets and increase the reliability of power systems. As more utilities attempt to reduce the purchasing costs by implementing DR programs strategically, there is an increasing need for studies of how to allocate the reduced purchasing costs among DR program participants. The rebates or incentives can be given to DR program participants in proportion to the participants' contributions to the reduced purchasing costs. This paper presents Shapley Value-based method to determine the DR program participants' contributions to the reduced purchasing costs. A numerical example is presented to validate the effectiveness of the proposed method.