• 제목/요약/키워드: support-generation

검색결과 1,284건 처리시간 0.023초

HTML5-based Web TV Industry Trends

  • Park, Sehwan;Kim, Jungho;Yu, Daesang;Park, Jongkyu
    • International Journal of Internet, Broadcasting and Communication
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    • 제5권2호
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    • pp.15-17
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    • 2013
  • The web service companies develop the App support technique of the HTML5 base in the smart media system and smart TV competitively while the Web platform of the HTML5 base is legislated with the next generation national standard. It is essential to the web kernel, which is the common library of the operating system including the file, window, resource and network management is provided in order to support the various app developments of the HTML5 base effectually. Additionally, the web application program can support UI/UX function of the desktop user using the web browser and JavaScript drive and administration, window management function, and etc. is needed.

지반침하 기인 저압 증기터빈 케이스 진동 저감 (Vibration Reduction of a LP Turbine Casing due to Subsidence)

  • 신범식;최연선
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2011년도 추계학술대회 논문집
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    • pp.384-389
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    • 2011
  • The vibration of a LP turbine casing may cause the problems of power generation and the life of its facility. In this study, we carried out on-site measurements of a LP Turbine in order to find the cause of the vibration and conducted experimental and numerical modal analysis of the turbine with its support frame. The measurement and the modal analysis show that the natural frequency of the turbine becomes close to 60 Hz due to the subsidence of the support. The elimination of the subsidence by shimming between the turbine and the support frame gave rise to the reduction of the vibration of the LP turbine case.

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A Clustering Approach to Wind Power Prediction based on Support Vector Regression

  • Kim, Seong-Jun;Seo, In-Yong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제12권2호
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    • pp.108-112
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    • 2012
  • A sustainable production of electricity is essential for low carbon green growth in South Korea. The generation of wind power as renewable energy has been rapidly growing around the world. Undoubtedly wind energy is unlimited in potential. However, due to its own intermittency and volatility, there are difficulties in the effective harvesting of wind energy and the integration of wind power into the current electric power grid. To cope with this, many works have been done for wind speed and power forecasting. It is reported that, compared with physical persistent models, statistical techniques and computational methods are more useful for short-term forecasting of wind power. Among them, support vector regression (SVR) has much attention in the literature. This paper proposes an SVR based wind speed forecasting. To improve the forecasting accuracy, a fuzzy clustering is adopted in the process of SVR modeling. An illustrative example is also given by using real-world wind farm dataset. According to the experimental results, it is shown that the proposed method provides better forecasts of wind power.

Vertical Handoff Decision System based on Support Vector Machine

  • 오룡;유재학;김태섭;류승완
    • 한국통신학회논문지
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    • 제36권7B호
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    • pp.771-779
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    • 2011
  • It is expected that many heterogeneous wireless systems, such as 3GPP LTE systems, WiMAX systems and WLAN systems, will coexist in the next generation wireless communication environments. Integrated radio resource management and seamless vertical handoff (VHO) should be supported to provide integrated communication services over multi-radio access networks. A new class of adaptive VHO system that views the handoff problem as a pattern recognition problem is proposed. In this paper, we propose a unified radio resource management (URRM) architecture and Support Vector Machine (SVM) based vertical handoff decision system. Extensive simulation studies show the proposed VHO algorithm outperforms RSS based VHO algorithms in terms of throughput and service cost.

컨테이너 선박의 자동 적재 계획을 위한 지능형 의사결정지원시스템 (Intelligent Decision Support System for Containership Auto-stowage Planning)

  • 신재영;남기찬
    • 한국항만학회지
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    • 제9권1호
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    • pp.19-32
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    • 1995
  • The objective of this paper is to suggest a decision support system allowing automated stowage planning for containerships, and provide a working prototype. Unlike most previous works in this topic which concentrated mainly on the theoretical aspects. this paper attempts to develop a feasible system for improving the speed and accuracy of stowage planning by combining practice and theoretical solution methods. The paper includes a definition of the containership stowage problem, and details on the design and development of the automated stowage plan generation routine. Several program tests are undertaken with randomly generated input data. The results suggest that the prototype system is quite meaningful even though there are still some unsolved problems. The paper concludes with a discussion of issues for future development of the decision support system.

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Short-Term Photovoltaic Power Generation Forecasting Based on Environmental Factors and GA-SVM

  • Wang, Jidong;Ran, Ran;Song, Zhilin;Sun, Jiawen
    • Journal of Electrical Engineering and Technology
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    • 제12권1호
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    • pp.64-71
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    • 2017
  • Considering the volatility, intermittent and random of photovoltaic (PV) generation systems, accurate forecasting of PV power output is important for the grid scheduling and energy management. In order to improve the accuracy of short-term power forecasting of PV systems, this paper proposes a prediction model based on environmental factors and support vector machine optimized by genetic algorithm (GA-SVM). In order to improve the prediction accuracy of this model, weather conditions are divided into three types, and the gray correlation coefficient algorithm is used to find out a similar day of the predicted day. To avoid parameters optimization into local optima, this paper uses genetic algorithm to optimize SVM parameters. Example verification shows that the prediction accuracy in three types of weather will remain at between 10% -15% and the short-term PV power forecasting model proposed is effective and promising.

PAIVS: prediction of avian influenza virus subtype

  • Park, Hyeon-Chun;Shin, Juyoun;Cho, Sung-Min;Kang, Shinseok;Chung, Yeun-Jun;Jung, Seung-Hyun
    • Genomics & Informatics
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    • 제18권1호
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    • pp.5.1-5.5
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    • 2020
  • Highly pathogenic avian influenza (HPAI) viruses have caused severe respiratory disease and death in poultry and human beings. Although most of the avian influenza viruses (AIVs) are of low pathogenicity and cause mild infections in birds, some subtypes including hemagglutinin H5 and H7 subtype cause HPAI. Therefore, sensitive and accurate subtyping of AIV is important to prepare and prevent for the spread of HPAI. Next-generation sequencing (NGS) can analyze the full-length sequence information of entire AIV genome at once, so this technology is becoming a more common in detecting AIVs and predicting subtypes. However, an analysis pipeline of NGS-based AIV sequencing data, including AIV subtyping, has not yet been established. Here, in order to support the pre-processing of NGS data and its interpretation, we developed a user-friendly tool, named prediction of avian influenza virus subtype (PAIVS). PAIVS has multiple functions that support the pre-processing of NGS data, reference-guided AIV subtyping, de novo assembly, variant calling and identifying the closest full-length sequences by BLAST, and provide the graphical summary to the end users.

수도권 지역난방연계 열병합발전소의 기반기금 지원과 개선방안 (A Study on the Improvement of Subsidy Program for CHP Plant Connected with Capital Region District Heating System)

  • 김창수;이창호
    • 대한전기학회논문지:전력기술부문A
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    • 제53권2호
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    • pp.97-103
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    • 2004
  • CHP system supplies electricity and heating together with high efficiency. Current utility's CHP system uses electric power by itself and sells thermal energy to KDHC(Korea District Heating Corporation). CHP's operation cost except sales revenue of heating was covered by the sale revenue of electricity. Thus Electric generation cost in district Heating CHP system has close relationship with the level of heating price. However, after the restructuring of electricity industry, the operation cost could not be covered by sales revenue of heating and electricity. This loss was compensated by energy subsidy program in the electric power industry infrastructure fund. This paper suggests reasonable evaluation and improvement methods of the loss calculation of CHP system utilizing the infrastructure fund efficiency In terms of the direction of support by the fund, it provides the methods to prevent inefficient operation through setting up the upper limit of subsidy and to improve the loss calculation. Moreover, it suggest fixed rate support by heating supply level and reducing subsidy gradually for an efficient operation of CHP system.

MPLS 네트워크를 이용한 MCS&MNMCA IP 이동성 관리기법의 성능 평가 (Performance Evaluation of MCS&MNMCA IP Mobility Management Scheme Using MPLS Networks)

  • 장성진;김진만;장종욱
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 추계종합학술대회
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    • pp.49-53
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    • 2007
  • 차세대 IP 기반 무선 액세스 네트워크는 단말의 이동성을 지원하기 위하여 Mobile IP(Mobile IPv4) 프로토콜을 제시하고 있다. Mobile IPv4는 고장망을 대상으로 설계된 IP를 기반으로 하기 때문에 삼각라우팅과 핸드오프 지연에 의한 성능저하 요인을 갖고 있다. 그래서 이를 보완하고 QoS 보장형 서비스를 제공하기 위한 방안으로 최근 차세대 IP기반 무선 액세스 네트워크에 MPLS(Multi Protocol Label Switching)의 적용에 관한 관심이 증가되고 있다. 따라서 본 논문은 우리의 앞선 연구에서 제안한 IP 이동성 관리기법인 MCS&MNMCA를 MPLS망과 연동하였을 경우의 성능을 분석한다.

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장년층(長年層)의 은퇴 후 삶에 대한 지방정부의 정책대응 -50+센터의 역할 정립을 중심으로- (New Aging Support Policy in Local Government: Focusing on 50 Plus Center)

  • 정재한;김형성
    • 한국콘텐츠학회논문지
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    • 제16권12호
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    • pp.291-299
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    • 2016
  • 본 연구는 새로운 노인층을 구성하는 장년층 세대에 부합할 수 있는 정책 대응 방안을 50+센터의 역할 정립을 중심으로 모색하였다. 분석결과 장년층 세대는 기존 노인층에 비해 사회 참여 욕구가 높은 것으로 나타났으며 노인종합복지관 등 기존 기관들은 해당 역할 수행이 미흡한 것으로 나타났다. 따라서 50+센터는 서울의 장년층 세대가 은퇴 이후 최초로 진입하는 공공영역의 기관으로 그들의 인생설계교육 및 사회참여 교육을 중심으로 역할을 정립해야 할 것이다.