• 제목/요약/키워드: Intelligent Distribution

검색결과 553건 처리시간 0.024초

전력선통신 기반 저압원격검침 시스템의 공간 정보를 활용한 지능형 배전망 지리정보시스템 구축에 관한 연구 (A Study on the Implementation of Geographic Information System for an Intelligent Power Distribution Network with Location Informations of Power Line Communication-based Automatic Meter Reading System)

  • 서충기;이승걸
    • 전기학회논문지
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    • 제64권3호
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    • pp.365-369
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    • 2015
  • In this paper, geographic information system(GIS) for an intelligent power distribution network was implemented with location informations acquired from automatic meter reading system, where the location informations of power line communication(PLC) modems installed at customer side were collected at data concentration units(DCUs) of headend equipment via PLC and then were transmitted to front end processor server. By displaying the connection status of the power distribution network on GIS map, operation of advanced metering infrastructure(AMI) or management of power grid system could be performed intuitionally and in real time, because the configuration state of the power grid could be easily monitored. The feasibility of the proposed system was confirmed with the especially constructed laboratory-level test bed and the verification test of the system will be carried out for a real power distribution network.

전기화재 예방과 신속 감지를 위한 추론기반 지능형 수배전반 시스템 구현 연구 (Implementation of a Inference based Intelligent Distribution Panel System for Prevention and fast Detection of fire caused by Electricity)

  • 박찬엄;김경동;이승철;양원영
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2006년도 춘계학술대회 논문집
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    • pp.82-85
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    • 2006
  • With the fast growing number of skyscrapers and large ultrahigh apartment complexes, the concerns on fire caused by electricity also grow. Among about 30,000 fires recorded annually, roughly one third of them are hewn to be caused by electricity. If one of such high and densely populated buildings or apartments catches a fire, the consequence can potentially be quite catastrophic. However, with the rapid development of the techniques in the fields of communications and computers, electric power distribution systems for such buildings and apartments have been largely digitalized in recent years. More detailed informations on the operating status are now available, which enables more sophisticated monitoring and early detection of potential fire caused by electricity. In this paper, we present an inference technique that can be used as one of the basic techniques in building intelligent distribution panel systems that can effectively monitor, prevent and detect the occurrence of fire caused by electricity. The technique can accommodate production rules in linguistic expressions on high abstraction levels. Fire finding strategies can be easily modified to provide more effective countermeasures. Simulation results show that inference capabilities and thus the capability of fire monitoring in power distribution panel systems can be significantly enhanced with our approach.

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Optimal Load Distribution of Transport ing System for Large Flat Panel Displays

  • Kim Jong Won;Jo Jang Gun;Cho Hyun Chan;Kim Doo Yong
    • 한국반도체및디스플레이장비학회:학술대회논문집
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    • 한국반도체및디스플레이장비학회 2005년도 추계 학술대회
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    • pp.110-123
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    • 2005
  • This paper proposes an intelligent method for the optimal load distribution of two cooperating robots(TCRs) using fuzzy logic. The proposed scheme requires the knowledge of the robots' dynamics, which in turn depend upon the characteristics of large flat panel displays(LFPDs) carried by the TCRs. However, the dynamic properties of the LFPD are not known exactly, so that the dynamics of the robots, and hence the required joint torque, must be calculated for nominal set of the LFPD characteristics. The force of the TCRs is an important factor in carrying the LFPD. It is divided into external force and internal force. In general , the effects of the internal force of the TCRs are not considered in performing the load distribution in terms of optimal time, but they are essential in optimal trajectory planning: if they are not taken into consideration, the optimal scheme is no longer fitting. To alleviate this deficiency, we present an algorithm for finding the internal-force factors for the TCRs in terms of optimal time. The effectiveness of the proposed system is demonstrated by computer simulations using two three-joint planner robot manipulators.

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이동통신망에서 페이징 처리 용량을 최대화하는 지능형 페이징 기법 연구 (On Intelligent Paging Algorithm Maximizing Paging Processing Capacity in Wireless Networks)

  • 이동준
    • 한국항행학회논문지
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    • 제10권4호
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    • pp.291-298
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    • 2006
  • 본 논문에서는 이동통신의 무선망 구간에서 페이징(paging) 용량을 최대화하기 위한 지능형 페이징 기법을 제안하였다. 한정된 무선 자원을 효율적으로 이용하기 위하여 지능형 페이징 기법들이 연구되어 왔는데 이 방식에서는 위치 영역을 여러 개의 작은 페이징 영역들로 나누어서 순차적으로 찾아나간다. 기존의 지능형 페이징 방식에서는 주로 페이징 대상 단말의 위치 확률 분포를 이용하여 페이징 영역들을 도출한다. 하지만, 이러한 접근 방식들은 각 셀마다 페이징 트래픽이 불균등하게 분포되는 문제를 가진다. 이에 따라서 전체적으로 낮은 페이징 부하 상황에서도 페이징 트래픽이 병목인 셀이 존재하고 이 셀의 기지국 페이징 메시지 큐가 넘침으로써 페이징 메시지가 손실되는 문제가 발생하게 된다. 제안하는 방식에서는 각 셀의 페이징 트래픽 분포 상황을 감안하여 페이징 트래픽을 가능하면 셀마다 균등하게 분포하도록 페이징 영역을 결정한다. 성능 평가 결과 제안하는 방식은 페이징 처리 용량 측면에서 기존 방식들에 비해서 월등히 좋은 성능을 보임을 확인할 수 있었다.

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Fast Depth Video Coding with Intra Prediction on VVC

  • Wei, Hongan;Zhou, Binqian;Fang, Ying;Xu, Yiwen;Zhao, Tiesong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권7호
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    • pp.3018-3038
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    • 2020
  • In the stereoscopic or multiview display, the depth video illustrates visual distances between objects and camera. To promote the computational efficiency of depth video encoder, we exploit the intra prediction of depth videos under Versatile Video Coding (VVC) and observe a diverse distribution of intra prediction modes with different coding unit sizes. We propose a hybrid scheme to further boost fast depth video coding. In the first stage, we adaptively predict the HADamard (HAD) costs of intra prediction modes and initialize a candidate list according to the HAD costs. Then, the candidate list is further improved by considering the probability distribution of candidate modes with different CU sizes. Finally, early termination of CU splitting is performed at each CU depth level based on the Bayesian theorem. Our proposed method is incorporated into VVC intra prediction for fast coding of depth videos. Experiments with 7 standard sequences and 4 Quantization parameters (Qps) validate the efficiency of our method.

Intelligent Hybrid Modular Architecture for Multi Agent System

  • Lee, Dong-Hun;Baek, Seung-Min;Kuc, Tae-Yong;Chung, Chae-Wook
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.896-902
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    • 2004
  • The purpose of the study of multi-robot system is to realize multi-robot system easy for the control of robot system in case robot is adapted in the complicated environment of task structure. The purpose of the study of multi-robot system is to realize multi-robot system easy for the control of robot system in case robot is adapted in the complicated environment of task structure. To make real time control possible by making effective use of recognized information in this dynamic environment, suitable distribution of tasks should be made in consideration of function and role of each performing robots. In this paper, IHMA (Intelligent Hybrid Modular Architecture) of Intelligent combined control architecture which utilizes the merits of deliberative and reactive controllers will be suggested and its efficiency will be evaluated through the adaptation of control architecture to representative multi-robot system.

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홈 네트워크 기반의 지능형 홈 로봇의 연구 (A study on intelligent robot based on home network)

  • 정병찬;박진현;최동석;김훈모
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.792-798
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    • 2003
  • This paper is about implementation of intelligent robot based on home network. Existing robots are mainly stand alone type. Home network is spreading rapidly and can play an important role as a path for informations between appliances in home. Robot can be more intelligent and have versatile functions with a junction of home network. By distribution of tasks through home network, robot doesn't have to process every task. In addition, robot can access to appliances through network as appliances are added continuously. In the future, smart space in which robot behaves on various types of network is in expectation. In this research, home network based system which consists of home server, embedded robot, and intelligent robot is proposed and implemented.

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Automatic Intelligent Asymmetry Detection Using Digital Infrared Imaging with K-Means Clustering

  • Kim, Kwang Baek;Song, Doo Hoen
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제15권3호
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    • pp.180-185
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    • 2015
  • Digital infrared thermal imaging is a non-invasive adjunctive diagnostic technique that allows an examiner to visualize and quantify changes in skin surface temperature. The asymmetry of temperature differences between the diseased and the contralateral healthy body parts can be automatically analyzed and has been studied in many areas of medical science. In this paper, we propose a method for intelligent automatic asymmetry detection based on a K-means analysis and a YCbCr color model. The implemented software successfully visualizes an asymmetric distribution of colors with respect to the patients’ health status.

리얼 분석환경 기반 지능형 악성 웹페이지 탐지 시스템 (Intelligent Malicious Web-page Detection System based on Real Analysis Environment)

  • 송종석;이경석;김우승;오익균;김용민
    • 정보과학회 논문지
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    • 제45권1호
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    • pp.1-8
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    • 2018
  • 최근 인터넷의 발전과 동시에 인터넷을 이용한 악성코드 유포는 가장 심각한 사이버 위협 중 하나이며, 탐지 우회 기법이 적용된 악성코드 유포 기술 또한 발전하고 있어, 이를 탐지하고 분석하는 연구가 활발하게 이루어지고 있다. 하지만 기존의 악성코드 유포 웹페이지 탐지 시스템은 시그니처 기반이어서 난독화된 악성 자바스크립트는 탐지가 거의 불가능하며, 탐지 패턴을 지속적으로 업데이트해야 하는 한계가 있다. 이러한 한계점을 극복하기 위해 지능화된 악성코드 유포 웹사이트를 효과적으로 분석 및 탐지할 수 있는 리얼 브라우저를 이용한 지능형 악성코드 유포 웹페이지 탐지 시스템을 제안하고자 한다.

뉴로퍼지시스템에 의한 반류분포 추정에 관한 연구 (A Study on Prediction of Wake Distribution by Neuro-Fuzzy System)

  • 신성철
    • 한국지능시스템학회논문지
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    • 제17권2호
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    • pp.154-159
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    • 2007
  • 프로펠러 회전면에서의 반류분포는 주로 모형시험에 의해서 규명되어 왔다. 이렇게 축적된 데이터베이스를 통해 선박의 기하학적 형상정보와 반류분포 사이의 입출력관계를 모델링할 수 있다면 선박 초기설계시 유사선종의 설계에 도움이 된다. 뉴로퍼지시스템은 예측, 분류, 진단 등의 매우 복잡한 문제를 해결하는 기법으로 다양한 공학분야에서 응용되고 있다. 본 연구에서는 이들 입출력 사이의 관계를 뉴로퍼지시스템으로 모델링하고 학습한 후 새로운 입력에 대한 출력값의 검토를 통해 그 유용성을 확인한다. 3차원 선미형상을 입력으로 하고 선체 모형시험으로 얻어진 프로펠러 회전면에서의 반류분포 값을 출력으로 사용하여 학습 및 추론을 해 보았다. 이를 통해 뉴로퍼지시스템을 초기 선박설계 단계에서 특히 선미형상을 결정할 때 유용한 것을 확인하였다.