• 제목/요약/키워드: Self-organized

검색결과 476건 처리시간 0.037초

공항내 지상이동감시를 위한 DGPS 및 STDMA 연구 (A Study on DGPS and STDMA for SMGCS)

  • 유창선;남기욱;김종철
    • 한국항공운항학회지
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    • 제9권2호
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    • pp.91-99
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    • 2001
  • 오늘날 위성항법, 위성통신을 이용한 항공항법감시의 새로운 변화 가운데 국제민간항공기구(ICAO)에서 VDL(VHF Digital Link) Mode 4로 채택된 STDMA (Self-organized Time Division Multiple Access)에 관심이 증대되고 있다. 해양분야에서는 선박위치 자동인식시스템(AIS) 및 선박운행관리시스템(VTS)에서 2002년부터 적용될 예정이고, 항공분야에서는 향후 몇 년후에는 ADS-B, SMGCS에서 응용될 가능성이 높다. 본 연구에서는 STDMA를 이용한 SMGCS구현을 위한 기술개발로서 사전에 측지된 기준국으로부터 실시간으로 GPS 보정값을 생성, 전송하도록 하는 실시간 DGPS기술과 동기신호에 따라 시분할 다중접속을 구현한 소프트웨어 기반의 TDMA기술을 구현하였으며 이를 연구원내에서 차량이동 실험을 수행하여 다수의 이동국간에 측위값을 상호전송함으로써 각각의 위치를 실기간으로 파악할 수 있음을 보였다.

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개미 시스템을 이용한 무선 센서 네트워크 라우팅 알고리즘 개발 (Ant-based Routing in Wireless Sensor Networks)

  • 옥창수
    • 한국경영과학회지
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    • 제35권2호
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    • pp.53-69
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    • 2010
  • This paper proposes an ant-based routing algorithm, Ant System-Routing in wireless Senor Networks(AS-RSN), for wireless sensor networks. Using a transition rule in Ant System, sensors can spread data traffic over the whole network to achieve energy balance, and consequently, maximize the lifetime of sensor networks. The transition rule advances one of the original Ant System by re-defining link cost which is a metric devised to consider energy-sufficiency as well as energy-efficiency. This metric gives rise to the design of the AS-RSN algorithm devised to balance the data traffic of sensor networks in a decentralized manner and consequently prolong the lifetime of the networks. Therefore, AS-RSN is scalable in the number of sensors and also robust to the variations in the dynamics of event generation. We demonstrate the effectiveness of the proposed algorithm by comparing three existing routing algorithms: Direct Communication Approach, Minimum Transmission Energy, and Self-Organized Routing and find that energy balance should be considered to extend lifetime of sensor network and increase robustness of sensor network for diverse event generation patterns.

STDMA 알고리즘에서의 충돌 회피 방법에 관한 연구 (A Study of Collision Avoidance Methods For a STDMA Algorithm)

  • 김현재;김영호
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (A)
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    • pp.124-126
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    • 2002
  • 최근의 TDMA(Time Division Multiple Access) 알고리즘에 대한 발전 방향을 살펴보면 크게 두 가지로 요약할 수 있다. 먼저, 대용량의 데이터 - 멀티미디어 데이터 등 - 에 대한 활용이 많아짐에 따라 전송할 데이터를 적절하게 Scheduling하여 전송 효율을 증대시키는 접근 방향이 있으며, 또 다른 접근으로는 Time Slot에 대한 재사용성이나 Slot 할당 기법의 개선을 통하여 성능을 향상시키는 방법이 있다. 본 논문에서는 후자에 거론된 Time Slot에 대한 재사용성이나 Slot 할당 기법의 개선 방법 중의 하나인 STDMA(Self-organized TDMA)알고리즘에서, Slot 할당 시의 충돌 회피 방법을 고려하여 기존의 STDMA 알고리즘의 효율을 향상시키고자 한다. 현재 STDMA 알고리즘에서는 가용한 통신 범위 내에서의 Slot에 대한 할당 여부가 알고리즘 내에서 정의되고 있다. 따라서 부가적인 알고리즘의 추가가 없이 Slot할당 상황을 알 수 있으며, 이를 통하여 Slot 할당 단계에서 충돌 회피 방법을 추가하여 Conflict를 회피하도록 할 수 있다.

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An Autonomic -Interleaving Registry Overlay Network for Efficient Ubiquities Web Services Discovery Service

  • Ragab, Khaled
    • Journal of Information Processing Systems
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    • 제4권2호
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    • pp.53-60
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    • 2008
  • The Web Services infrastructure is a distributed computing environment for service-sharing. Mechanisms for Web services Discovery proposed so far have assumed a centralized and peer-to-peer (P2P) registry. A discovery service with centralized architecture, such as UDDI, restricts the scalability of this environment, induces performance bottleneck and may result in single points of failure. A discovery service with P2P architecture enables a scalable and an efficient ubiquities web service discovery service that needs to be run in self-organized fashions. In this paper, we propose an autonomic -interleaving Registry Overlay Network (RgON) that enables web-services' providers/consumers to publish/discover services' advertisements, WSDL documents. The RgON, doubtless empowers consumers to discover web services associated with these advertisements within constant D logical hops over constant K physical hops with reasonable storage and bandwidth utilization as shown through simulation.

Reservoir Classification using Data Mining Technology for Survivor Function

  • Park, Mee-Jeong;Lee, Joon-Gu;Lee, Jeong-Jae
    • 한국농공학회논문집
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    • 제47권7호
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    • pp.13-22
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    • 2005
  • Main purpose of this article is to classify reservoirs corresponding to their physical characteristics, for example, dam height, dam width, age, repair-works history. First of all, data set of 13,976 reservoirs was analyzed using k means and self organized maps. As a result of these analysis, lots of reservoirs have been classified into four clusters. Factors and their critical values to classify the reservoirs into four groups have been founded by generating a decision tree. The path rules to each group seem reasonable since their survivor function showed unique pattern.

VMD(Visual Merchandising)에 따른 복합생활용품매장에 관한 연구-연출과 테마를 중심으로- (A Study on the Design of a Compound Living Goods Store by Visual Merchandising -with a focus of the presentation and themes-)

  • 한주희;윤도근
    • 한국실내디자인학회논문집
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    • 제14호
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    • pp.99-106
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    • 1998
  • Today's consumers have the behavior of purchasing that is self-value-centered and distinctly goal-conscious. Because of this trend the new shops that sell well have the characteristics that effectely transfers strong store-image. The starting point of selling is showing. To appeal to the sense of more consumers and to facilitate the act of consumption you should express more surely store and image of merchandise in the limited space of sales room. Especially in the compound living goods store which sell various items of products the role of presenting the whole merchandises attractive and organized is of utmost importance and the interior planning of show rooms and displaying the room according to the actual sales. According to this the goal of this study is to create not only the convenience of purchasing but also distinguished store image through organizing show rooms according to themes as a part of VMD strategy.

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개선된 자가생성 지도학습 알고리즘을 이용한 컨테이너 식별자 연식 (The Identifier Recognition from Shipping Container Image by Using The Enhanced Self-Organized Supervised Learning Algorithm)

  • 이혜현;김태경;김광백
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 2002년도 추계학술발표논문집
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    • pp.149-154
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    • 2002
  • 운송 컨테이너의 식별자를 추출하고 인식하는 것은 컨테이너 식별자들의 크기나 위치가 정형화되어 있지 않고 외부의 잡음으로 인하여 식별자의 형태가 훼손되어 있기 때문에 어렵다. 본 논문에서는 이러한 특성을 고려하여 컨테이너 영상에 대해 Canny 에지 추출 기법을 이용하여 컨테이너의 식별자 영역을 추출하고 추출된 컨테이너 식별자 영역에서 히스토그램 방법과 윤곽선 추적 알고리즘을 결합하여 개별 식별자를 추출한다. 추출된 컨테이너 개별 식별자 인식은 ART1을 수정하여 지도 학습 방법과 결합한 개선된 자가생성 지도학습 알고리즘을 제안하여 적용한다. 실험결과에서는 제안된 컨테이너 식별자 추출 및 인식 방법이 다양한 컨테이너 영상에 대해 효율적인 것을 보인다.

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선박자동식별시스템을 위한 SOTDMA 알고리즘 성능분석 시스템에 관한 연구 (A Study on System for performance analysis of AIS SOTDMA Algorithm)

  • 이효성;이흥호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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    • pp.369-371
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    • 2006
  • The AIS(Automatic Identification System) has to be developed SOTDMA(Self-Organized Time Division Multiple Access) Algorithm which is important on wireless communication method because It is based on ITU(International Telecommunication Union) M.1371-1 of the international standard therefore, we need to develop a performance evaluation simulator efficiently to develop and analyze SOTDMA Algorithm. This paper shows the method of designing it. The SOTDMA Algorithm driving state verifies the performance evaluation simulator by IEC(International Electrotechnical Commission) 61993-2. After verifying results the performance evaluation simulator is correctly satisfied with IEC 61993-2. So we expect that it helps not only the AIS technology developed but also verify new SOTDMA Algorithm.

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효과적인 패턴분할 방법에 의한 하이브리드 다중 컴포넌트 신경망 설계 및 학습 (Hybrid multiple component neural netwrok design and learning by efficient pattern partitioning method)

  • 박찬호;이현수
    • 전자공학회논문지C
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    • 제34C권7호
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    • pp.70-81
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    • 1997
  • In this paper, we propose HMCNN(hybrid multiple component neural networks) that enhance performance of MCNN by adapting new pattern partitioning algorithm which can cluster many input patterns efficiently. Added neural network performs similar learning procedure that of kohonen network. But it dynamically determine it's number of output neurons using algorithms that decide self-organized number of clusters and patterns in a cluster. The proposed network can effectively be applied to problems of large data as well as huge networks size. As a sresutl, proposed pattern partitioning network can enhance performance results and solve weakness of MCNN like generalization capability. In addition, we can get more fast speed by performing parallel learning than that of other supervised learning networks.

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Fish School Simulation for Khepera Robot

  • Kim, Kyung-Hwan;Keigo, Watanabe
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.168.4-168
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    • 2001
  • A great many species of fish congregate in schools, reducing the risk of being eaten by predators and giving one of the considerable survival advantages for fishes. Such a fish school is self-organized only due to individual behaviors for matching the speed and direction with the neighboring fishes. It is interesting to simulate these fish school by small robots, because we can understand how the group structure emerges from the interaction among neighboring individuals. We use a nice simulator for Khepera robot presented by Oliver Michel. It is shown that the Khepera simulator is easily applied to fish school due to the algorithm introduced by I Aoki. The simulator includes sensor noise so appropriately that the simulator can be transferred easily to the real environment. The results of simulation are given as follows: (1) The stability as a group is shown by plotting mean deviations from the center of group ...

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