• Title/Summary/Keyword: 에너지 플랫폼화

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Range-free localization algorithm between sensor nodes based on the Radical Line for Sensor Networks (센서 네트워크를 위한 Radical line을 기반으로 한 센서 노드간의 Range-free 지역화 알고리즘)

  • Shin, Bong Hi;Jeon, Hye Kyoung
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.261-267
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    • 2016
  • In this paper, we studied the range-free localization algorithm between sensor nodes based on the Radical Line for sensor networks. Routing in wireless sensor networks should reduce the overall energy consumption of the sensor network, or induce equivalent energy consumption of all the sensor nodes. In particular, when the amount of data to send more data, the energy consumption becomes worse. New methods have been proposed to address this. So as to allow evenly control the overall energy consumption. For this, the paper covers designing a localization algorithm that can obtain the location information of the peripheral nodes with fewer operations. For the operation of the algorithm is applicable Radical Line. The experimental environment is windows 7, the Visual C ++ 2010, MSSQL 2008. The experimental results could be localized to perform an error rate of 0.1837.

NOC Architecture Design Methodology (NOC 구조 설계 방법론)

  • Agarwal Ankur;Pandya A. S.;Asaduzzaman Abu;Lho Young-Uhg
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.1
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    • pp.57-64
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    • 2006
  • Multiprocessor system on chip (MPSoC) platforms has set a new innovative trend for the SoC design. Quality of service parameters and performance matrix are leading to the adoption of new design methodology for SoC, which will incorporate highly scalable, reusable, predictable, cost and energy efficient platform not only for underlying communication backbone but also for the entire system architecture of NOC. Like the layered architecture for the communication backbone of NOC, we have proposed the entire system architecture for NOC to be a seven layered architecture in itself. Such a platform can separate the domain specific issues which will model concurrency along with the synchronization issues more effectively. For such a layered architecture, model of computation will provide a framework to that can model concurrency and synchronization issues which are natural for any application. Therefore it becomes extremely important to use a right computation model in a specific NOC region.

An Application Implementation Monitoring the Link Quality of Wireless Sensor Networks (무선 센서 네트워크의 링크 품질을 모니터링하는 응용 구현)

  • Roh, Tae-Ho;Chung, Kwang-Sue
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10d
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    • pp.595-599
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    • 2006
  • 센서 네트워크는 주로 물리적인 공간의 모니터링이나 위치 추적과 같은 주변의 정보를 얻고자 하는 환경에 사용되며, 이러한 정보는 비대칭적이고 비신뢰적인 무선 링크로 인해 불필요한 재전송을 요구하고 많은 손실이 발생한다. 이 때문에 신뢰적이고 에너지 효율적인 링크를 선택하기 위해 RSSI(Received Signal Strength Indicator), LQI(Link Quality Indicator)를 이용하여 무선 링크에 대한 품질을 추정하는 기법이 필요하다. 본 논문에서는 그 일차적인 단계로써 단일 홉 무선 센서 네트워크에서 MICAZ에 구현된 RSSI, LQI 값을 이용하여 노드간 무선 링크 품질을 모니터링하는 응용을 구현하였다. 구현 시나리오는 무선 링크의 비대칭성을 고려하기 위해, 순방향 링크 품질의 경우 센서 플랫폼이 BS로부터 수신한 요구 메시지의 RSSI, LQI 값을 응답 메시지에 캡슐화하여 BS로 전송하도록 하였고, 역방향 링크 품질의 경우 BS가 센서 플랫폼으로부터 수신한 응답 메시지의 RSSI, LQI 값을 기반으로 하였다. 또한 BS로 취합된 이러한 두 링크 품질을 PC상에 시각적으로 표시하기 위해 자바 기반의 링크 품질을 모니터링하는 응용을 구현하였다. 간단한 실험을 통해 RSSI, LQI로 얻은 무선 링크의 품질과 특성을 확인하였다.

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A Base Station Virtualization Based Cloud Approach for Massive MIMO (Massive MIMO를 위한 기지국 가상화기반의 클라우드 구성 방식)

  • Jin, Yi;Joe, InWhee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.04a
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    • pp.160-162
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    • 2014
  • 네트워크 급속발전 때문에 기지국 용량이 부족하다는 문제가 커지고 있다. 일반 기지국은 기지국에서 신호처리를 하지만 클라우드 기지국은 신호를 전부 클라우드 컴퓨팅 플랫폼(Cloud Computing Platform)에 전송해서 집중처리한다. 이러한 기술을 통해 에너지 절약과 원가 절약하고 컴퓨팅의 효율을 최대화한다.

Development of Sensor Data Flow Detection and MQTT Simulation System to apply formalized Pattern Analysis (정형화된 패턴분석을 적용한 센서 데이터흐름 감지 및 MQTT 시뮬레이션 시스템 개발)

  • JongWon Cho;Hyeri Park;Fayzullayev mirjalol;Ryumduck Oh
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.131-134
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    • 2024
  • 본 논문에서는 기존 철도 운영 및 관리시에 철도 주변환경으로 부터 발생하는 소음, 진동, 미세먼지 센서에서 다양한 실시간 스트림 데이터를 감지하고 정형화된된 데이터 패턴을 인식하고 분석할 수 있도록 데이터를 구성 및 저장하고 분석된 데이터를 표현할 수 있도록 시각화 지원을 위한 모니터링 시스템 플랫폼을 구현하였다. 데이터 전송을 위해 시리얼 통신 기법을 주로 적용하였으나, 센서와 디바이스의 증가로 인해 시리얼 통신의 한계가 나타났다. 따라서, 본 연구에서는 기존의 아두이노와 서버 간의 직접 통신 방식 대신 라즈베리파이를 도입하여 MQTT Broker(브로커)를 설치하고 통신을 진행하였다. 철도 데이터 모니터링 시스템 플랫폼은 NoSQL 데이터베이스인 MonGoDB와 데이터 시각화할 수 있는 Grafana를 이용하여 구축하였다.

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The Direction of the Progress and the Scheme of Reorganization of the AToN-based Hyperconnected Infrastructure (만물지능통신 기반·초연결 인프라의 발전 방향과 재편 구도)

  • Ha, W.G.;Choi, M.S.
    • Electronics and Telecommunications Trends
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    • v.27 no.5
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    • pp.134-149
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    • 2012
  • 본고에서는 차세대 스마트 인프라 준거틀로서 '만물지능통신 기반 초연결 인프라' 개념을 제시한다. 동 개념이 대두하게 된 근거 기반으로 기술적 관점에서 스마트 기술혁신과 인프라 혁신 간의 상호관계성, 문명사적 관점에서 정보 교통 에너지 인프라 간의 공진화 과정을 거시적으로 개관한다. 그리고 초연결 클라우드 컴퓨팅, 만물지능통신망과의 선순환 관계에서 기존 인프라의 고도화와 동시에 정전교(情電交) 초연결 인프라의 탄생과 발전 방향을 모색한다. 또한 EU의 중장기 R&D 전략의 공통성과 도출을 위한 분산화된 협업시스템으로 부상하고 있는 SoS(System of Systems) 모델을 초연결 인프라의 프로토타입으로 검토한다. 이러한 작업을 기반으로 '물리적 인프라의 추상화' 그리고 '추상화한 인프라의 현실 세계로의 실체화'라는 관점에서 초연결 인프라로의 재편 메커니즘을 분석하고, 초연결 인프라를 지향한 공통 플랫폼과 그 실현을 위한 기술적 정책적 함의를 도출한다.

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Designing an Automated Production Information Platform for Small and Medium-sized Businesses (중소기업의 자동화 생산 정보 플랫폼 구축 모델 설계)

  • Jeong, Yoon-Su;Kim, Yong-Tae;Park, Gil-Cheol
    • Journal of Convergence for Information Technology
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    • v.9 no.1
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    • pp.116-122
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    • 2019
  • In recent years, small and medium-sized businesses are rapidly changing to an industrial structure where process/quality/energy data aggregates can be automatically or real-time to achieve global competitiveness. In particular, real-time information analysis produced in the production process of small businesses is evolving into a new process process that analyzes, predicts, prescribes and implements significant performance of small businesses. In this paper, we propose a platform-building model that can transform the automated production information system of small businesses into big data so that they can upgrade data that is generated by small businesses. The proposed model has the capability to support operational efficiency (consulting and training) and strategic decision making of small businesses by utilizing a variety of data on the basic information of products produced by small businesses for data collection by smart SMEs. In addition, the proposed model is characterized by close cooperation between small and medium-sized businesses with different regional characteristics and areas of information sharing and system linkage.

Study of the ENC reduction for mobile platform (모바일 플랫폼을 위한 전자해도 소형화 연구)

  • 심우성;박재민;서상현
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2003.05a
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    • pp.181-186
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    • 2003
  • The satellite navigation system is widely used for identifying a user's position regardless of weather or geographic conditions and also make effect on new technology of marine LBS(Location Based Service), which has the technology of geographic information such as the ENC. Generally, there are conceivable systems of marine LBS such as ECDIS, or ECS that use the ENC itself with powerful processor in installed type on ships bridge. Since the ENC is relatively heavy structure with dummy format for data transfer between different systems, we should reduce the ENC to small and compact size in order to use it in mobile platform. In this paper, we assumed that the mobile system like PDA, or Webpad can be used for small capability of mobile platform. However, the ENC should be updated periodically by update profile data produced by HO. If we would reduce the ENC without a consideration of update, we could not get newly updated data furthermore. As summary, we studied considerations for ENC reduction with update capability. It will make the ENC be useful in many mobile platforms for various applications.

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Energy Big Data Pre-processing System for Energy New Industries (에너지신산업을 위한 에너지 빅데이터 전처리 시스템)

  • Yang, Soo-Young;Kim, Yo-Han;Kim, Sang-Hyun;Kim, Won-Jung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.5
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    • pp.851-858
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    • 2021
  • Due to the increase in renewable energy and distributed resources, not only traditional data but also various energy-related data are being generated in the new energy industry. In other words, there are various renewable energy facilities and power generation data, system operation data, metering and rate-related data, as well as weather and energy efficiency data necessary for new services and analysis. Energy big data processing technology can systematically analyze and diagnose data generated in the first half of the power production and consumption infrastructure, including distributed resources, systems, and AMI. Through this, it will be a technology that supports the creation of new businesses in convergence between the ICT industry and the energy industry. To this end, research on the data analysis system, such as itemized characteristic analysis of the collected data, correlation sampling, categorization of each feature, and element definition, is needed. In addition, research on data purification technology for data loss and abnormal state processing should be conducted. In addition, it is necessary to develop and structure NIFI, Spark, and HDFS systems so that energy data can be stored and managed in real time. In this study, the overall energy data processing technology and system for various power transactions as described above were proposed.

Optimal arrangement of multiple wind turbines on an offshore wind-wave floating platform for reducing wake effects and maximizing annual energy production (다수 풍력터빈의 후류영향 최소화 및 연간발전량 극대화를 위한 부유식 파력-해상풍력 플랫폼 최적배치)

  • Kim, Jong-Hwa;Jung, Ji-Hyun;Kim, Bum-Suk
    • Journal of Advanced Marine Engineering and Technology
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    • v.41 no.3
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    • pp.209-215
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    • 2017
  • A large floating offshore wind-wave hybrid power generation system with an area of 150 m2 and four 3 MW class wind turbine generators was installed at each column top. In accordance with the wind turbine arrangement, the wake generated from upstream turbines can adversely affect the power performance and load characteristics of downstream turbines. Therefore, an optimal arrangement design, obtained through a detailed flow analysis focusing on wake interference, is necessary. In this study, to determine the power characteristics and annual energy production (AEP) of individual wind turbines, transient computational fluid dynamics, considering wind velocity variation (8 m/s, 11.7 m/s, 19 m/s, and 25 m/s), was conducted under different platform conditions ($0^{\circ}$, $22.5^{\circ}$, and $45^{\circ}$). The AEP was calculated using a Rayleigh distribution, depending on the wind turbine arrangement. In addition, we suggested an optimal arrangement design to minimize wake losses, based on the AEP.