• Title/Summary/Keyword: 양방향 효율

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Design of Distributed Hierarchical Routing Plan Method for Urban Traffic Information System (도시교통정보시스템을 위한 분산 계층 경로탐색 기법 설계)

  • Back, Yeong-Tae;Kim, Sang-Oh
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.2
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    • pp.147-154
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    • 2010
  • This paper suggests new route plan cost calculation and cost-effective route plan algorithm and architecture for the new city traffic information system when it is operated nationwide. New algorithm and architecture estimates cost with traffic speeds which is supported for all different lanes, stratifies logical layer which process different levels' traffic information with diverse traffic patterns and provides different traffic information in the few levels. Also suggested new algorithm supports drivers' customized traffic information through both-way communications and plans routes effectively based on the distance between drivers' start position and destination and different levels which start and end position located. It proposes additional research items and requirement for integration between different cities' traffic information system which the national police agency invested and led.

Electric Power Energy Saving and Efficient Measures in Buildings using the Smart-Meter (스마트미터를 활용한 건축물의 전력에너지 절감 및 효율화 방안)

  • Hwang, Hyun Bae;Jung, Byeong Soo
    • Journal of Digital Convergence
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    • v.12 no.11
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    • pp.365-372
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    • 2014
  • In this paper, We implement a power-saving and efficient measures in buildings using the smart-meter. In order to save electric power energy, We propose an improved automatic power-factor controller(APFC) and demand control measures. This is achieved by controlling directly circuit breakers and the capacitor bank feeders in real time via a two-way smart-meter's ICT skills. Improved APFC is minimizing installation costs by series-parallel connecting heterologous capacitors to form a more diverse capacitor banking and controlling using the smart-meter. In order to suppress the demand power, We have designed a smart-meter with communication functions using Atmel's AVR465 and tested an operated lodging building for 24-hours. As a result, We made sure to always retained more than 95% power factor and did not occur over compensation.

Study on Optimal Real Time Pricing Model for Smart Grid in a Power Retailer Market (스마트 그리드 환경의 전력소매시장을 위한 최적의 실시간 가격결정 모형에 대한 연구)

  • Moon, Joon-Yung;Shin, Ki-Tae;Park, Jin-Woo
    • The Journal of Society for e-Business Studies
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    • v.17 no.2
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    • pp.105-114
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    • 2012
  • Recently, global warming, energy shortage, and environmental disruption have been serious problems in every nation. It became more and more important to reduce the emission of CO2 and to use of energy efficiently. Smart grid was also introduced using the rapidly developing information technology. It deployed the mutual communication concept between customers and the suppliers in the electricity supply. There were increasing demands to adopt the smart meter and to present incentive for efficient energy usage in many developed countries. The objective of this research was to develop the optimal real time pricing model which maximized the profit of the power retailer and reduced the usage of energy. The simulation study was given to show the usefulness of the model. Simulation considered the customer demand response rate and price elasticity rate. The price elasticity rate was compared in the condition of fixed value according to time and variable value according to the customers. The optimal price model could maximize the profit of the power retailer and reduce the energy usage of the consumers.

Simulation Analysis of Network Load of Application Level Security Protocol for Smart grid (시뮬레이션을 이용한 스마트 그리드 통신망 상의 응용 계층 보안 프로토콜의 부하 분석)

  • Lee, Kwang-Sik;Han, Seung-Chul
    • Journal of the Korea Society for Simulation
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    • v.24 no.1
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    • pp.17-24
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    • 2015
  • Smart grid is a modernized electrical grid that uses information and communication technologies to gather and act on information, such as information about the behaviors of suppliers and consumers, in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. However, with the advent of cyber crime, there are also concerns on the security of the infrastructure, primarily that involving communications technologies. In this work, we make an in-depth investigation on the issue of security services and network loads on Smart grid. Through simulation, we analyze the relations between security services and network loads. The experimental results of this study will contribute toward designing an advanced Smart grid system that offers better quality of services. Also, the approach proposed in this study can be utilized to derive new and valuable insights in security aspects.

Feature-Based Disparity Estimation for Intermediate View Reconstruction of Multiview Images (3차원 영상의 중간시점 영상 합성을 위한 특징 기반 변이 추정)

  • 김한성;김성식;손정영;손광훈
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.11A
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    • pp.1872-1879
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    • 2001
  • As multiview video applications become more popular, correspondence problem for stereo image matching plays an important role in expanding view points. Thus, we propose an efficient dense disparity estimation algorithm considering features of each image pair of multiview image sets. Main concepts of the proposed algorithm are based on the region-dividing-bidirectional-pixel-matching method. This algorithm makes matching process efficient and keeps the reliability of the estimated disparities. Other improvement have obtained by proposed cost function, matching window expanding technique, disparity regularization, and disparity assignment in ambiguous region. These techniques make disparities more stable by removing false disparities and ambiguous regions. The estimated disparities are used to synthesize intermediate views of multiview images. Computer simulation demonstrates the excellence of the proposed algorithm in both subjective and objective evaluations. In addition, processing time is reduced as well.

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Nonhermetic Plastic Packaged Optical Modules of Passive Optical Fiber Alignment Method (수동 광섬유정렬을 이용한 Nohermetic 플라스틱 패키지 광모듈)

  • Lim, Dong-Cheol;Lee, Won-Jong;Kang, Suk-Youb;Park, Hyo-Dal
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.11A
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    • pp.1053-1058
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    • 2006
  • In this paper, We proposed a efficient OSA(Optical Sub-Assembly) packaging method in use 1.31/1.49um bi-directional hybrid-integrated PLC chip for low-cost OSA in optical access network system applications as GE-PON in FTTH. Fabricated OSA with passive optical fiber alignment and nonhermetic plastic package method and measured optical coupling efficiency and electric-optical characteristics. Its performance is feasible to satisfy the GE-PON ONU specifications with the results as less than 0.5dB coupling losses within 40um alignment of z-axis and less than -24dBm sensitivity. It also has good temperature characteristics to sustain optical output power more than 1.5mW and 10dB extinction ratio, less than 0.3dB tracking error.

GP Modeling of Nonlinear Electricity Demand Pattern based on Machine Learning (기계학습 기반 비선형 전력수요 패턴 GP 모델링)

  • Kim, Yong-Gil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.3
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    • pp.7-14
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    • 2021
  • The emergence of the automated smart grid has become an essential device for responding to these problems and is bringing progress toward a smart grid-based society. Smart grid is a new paradigm that enables two-way communication between electricity suppliers and consumers. Smart grids have emerged due to engineers' initiatives to make the power grid more stable, reliable, efficient and safe. Smart grids create opportunities for electricity consumers to play a greater role in electricity use and motivate them to use electricity wisely and efficiently. Therefore, this study focuses on power demand management through machine learning. In relation to demand forecasting using machine learning, various machine learning models are currently introduced and applied, and a systematic approach is required. In particular, the GP learning model has advantages over other learning models in terms of general consumption prediction and data visualization, but is strongly influenced by data independence when it comes to prediction of smart meter data.

Inno-NET (종합기업서비스정보망)

  • 이태석;신기정;박찬진
    • Proceedings of the CALSEC Conference
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    • 2000.08a
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    • pp.335-359
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    • 2000
  • ◆ 기술 중심의 지식집약형 중소ㆍ벤처기업이 경제발전을 주도 ◆ 기업지원 기능의 부처, 기관별 분산 및 서비스 일관성 부족 →기업활동에 필요한 정보획득 및 애로사항 해소의 어려움 ◆ 창업, 자금 등 기업활동에 필요한 정보의 적시공급 및 기업애로사항을 신속히 해결 할 수 있는 종합기업서비스정보망 구축ㆍ운영 필요 : '97. 3월 대통령 주재 경제장관회의 보고 ◆ 종합기업서비스센터(산자부 중소기업정책반) 설치ㆍ운영 Inno-NET 구축사업 착수('97년 8월 1일 시범서비스 개시) - 1차 1998. 7. 1 - 1999. 6. 30, - 2차 1999. 7. 1 - 2000. 6. 30 ◆ 기업의 애로를 효율적으로 해소할 수 있도록 정부 및 관련 공공기관들을 상호 연계한 현장밀착형 양방향서비스정보망 구축(기업정보제공+종합안내정보+민원 및 애로상담 기능+지역기술정보) ◆ 체계화된 범국가적ㆍ지역별 종합기업지원 정보 서비스 체제 구축 ◆ 지방업체의 기술경쟁력 제고를 위한 지역별 산업기술정보 DB 및 기업지원 전문정보 DB 구축 ◆ EIP(Enterprise Information Portal) 정보제공 및 애로해소를 위한 종합적이고 전문적인 기업지원 포탈시스템 구축(중소벤처기업지원 나침반-HUB 기능)(중략)

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A Study on Shot Segmentation and Indexing of Language Education Videos by Content-based Visual Feature Analysis (교육용 어학 영상의 내용 기반 특징 분석에 의한 샷 구분 및 색인에 대한 연구)

  • Han, Heejun
    • Journal of the Korean Society for information Management
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    • v.34 no.1
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    • pp.219-239
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    • 2017
  • As IT technology develops rapidly and the personal dissemination of smart devices increases, video material is especially used as a medium of information transmission among audiovisual materials. Video as an information service content has become an indispensable element, and it has been used in various ways such as unidirectional delivery through TV, interactive service through the Internet, and audiovisual library borrowing. Especially, in the Internet environment, the information provider tries to reduce the effort and cost for the processing of the provided information in view of the video service through the smart device. In addition, users want to utilize only the desired parts because of the burden on excessive network usage, time and space constraints. Therefore, it is necessary to enhance the usability of the video by automatically classifying, summarizing, and indexing similar parts of the contents. In this paper, we propose a method of automatically segmenting the shots that make up videos by analyzing the contents and characteristics of language education videos and indexing the detailed contents information of the linguistic videos by combining visual features. The accuracy of the semantic based shot segmentation is high, and it can be effectively applied to the summary service of language education videos.

Performance Evaluation of a Enhanced Network Coding Scheme using NS2 (NS2를 이용한 향상된 네트워크 코딩 기법의 성능평가)

  • Kim, Kwan-Woong;Kim, Yong-Kab;Kim, Byun-Gon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.10
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    • pp.2281-2287
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    • 2013
  • Network Coding(NC) is a new paradigm for network communication. In network coding, intermediate nodes create new packets by algebraically combining ingress packets and send it to its neighbor node by broadcast manner. Network Coding has rapidly emerged as a major research area in information theory due to its wide applicability to communication through real networks. Network coding is expected to improve throughput and channel efficiency in the wireless multi-hop network. Prior researches have been carried out to employ network coding to wireless ad-hoc network. In our study, intermediate nodes identify one-hop bidirectional flows for network coding decision. We expect that the proposed scheme shall improve decoding success rate of network coded packet. From the simulation, the proposed network coding scheme achieved better performance in terms of coding gain and packet delivery rate than traditional network coding scheme.