• 제목/요약/키워드: metropolis weights

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Landsat 영상을 이용한 국내 경지면적 변화에 따른 요인분석 및 추정방법에 관한 연구 (A Study of the Primary Factor Analysis and Estimated Methods According to Domestic Agricultural Area Variations Using Landsat Images)

  • 허준;김우선;손홍규;조형식
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2007년도 춘계학술발표회 논문집
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    • pp.459-462
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    • 2007
  • Long time ago, Korea region based on the agriculture society has been changed in terms of a variety of factors, differently a metropolis. Specially the region located nearby urban area generates a number of variations by the environmental, economic and social factors, these variations have appeared with the similar characteristics in other areas. On that score, if we classify variation factors by means of analyzing quantitative or assign the standards or weights to apply as a agent concept, will anticipate mote accurate information of the land-use ratio, squares related of agriculture region in the future. In this study, we estimated applicable possibilities and extract the variation factor between annual surveying images and real values which estimated local products, variation factors related of attributes through Landsat images of Korea for the 5 years.

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Attack-Proof Cooperative Spectrum Sensing Based on Consensus Algorithm in Cognitive Radio Networks

  • Liu, Quan;Gao, Jun;Guo, Yunwei;Liu, Siyang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제4권6호
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    • pp.1042-1062
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    • 2010
  • Cooperative spectrum sensing (CSS) is an effective technology for alleviating the unreliability of local spectrum sensing due to fading/shadowing effects. Unlike most existing solutions, this paper considers the use of CSS technology in decentralized networks where a fusion center is not available. In such a decentralized network, some attackers may sneak into the ranks of cooperative users. On the basis of recent advances in bio-inspired consensus algorithms, an attack-proof, decentralized CSS scheme is proposed in which all secondary users can maintain cooperative sensing by exchanging information locally instead of requiring centralized control or data fusion. Users no longer need any prior knowledge of the network. To counter three potential categories of spectrum sensing data falsification (SSDF) attacks, some anti-attack strategies are applied to the iterative process of information exchange. This enables most authentic users to exclude potentially malicious users from their neighborhood. As represented by simulation results, the proposed scheme can generally ensure that most authentic users reach a consensus within the given number of iterations, and it also demonstrates much better robustness against different SSDF attacks than several existing schemes.