• Title/Summary/Keyword: resources identification

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A Study of Performance Improvement of Internet Application Traffic Identification using Flow Correlation (플로우 상관관계를 통한 인터넷 응용 트래픽 분석의 성능 향상에 관한 연구)

  • Yoon, Sung-Ho;Kim, Myung-Sup
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.6B
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    • pp.600-607
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    • 2011

  • As network traffic is dramatically increasing due to the popularization of Internet, the need for application traffic identification becomes important for the effective use of network resources. In this paper, we present an Internet application traffic identification method based on flow correlation to overcome limitation of signature-based identification methods and to improve performance (completeness) of it. The proposed method can identify unidentified flows from signature-based method using flow correlation between identified and unidentified flows. We propose four separate correlation methods such as Server-Client, Time, Host-Host, and Statistic correlation and describe a flow correlation-based identification system architecture which incorporates the four separate methods. Also we prove the feasibility and applicability of our proposed method by an acceptable experimental result.

  • https://doi.org/10.7840/KICS.2011.36B.6.600 인용 PDF KSCI

Appropriate identification of optimum number of hidden states for identification of extreme rainfall using Hidden Markov Model: Case study in Colombo, Sri Lanka

  • Chandrasekara, S.S.K.;Kwon, Hyun-Han
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.390-390
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    • 2019

  • Application of Hidden Markov Model (HMM) to the hydrological time series would be an innovative way to identify extreme rainfall events in a series. Even though the optimum number of hidden states can be identify based on maximizing the log-likelihood or minimizing Bayesian information criterion. However, occasionally value for the log-likelihood keep increasing with the state which gives false identification of the optimum hidden state. Therefore, this study attempts to identify optimum number of hidden states for Colombo station, Sri Lanka as fundamental approach to identify frequency and percentage of extreme rainfall events for the station. Colombo station consisted of daily rainfall values between 1961 and 2015. The representative station is located at the wet zone of Sri Lanka where the major rainfall season falls on May to September. Therefore, HMM was ran for the season of May to September between 1961 and 2015. Results showed more or less similar log-likelihood which could be identified as maximum for states between 4 to 7. Therefore, measure of central tendency (i.e. mean, median, mode, standard deviation, variance and auto-correlation) for observed and simulated daily rainfall series was carried to each state to identify optimum state which could give statistically compatible results. Further, the method was applied for the second major rainfall season (i.e. October to February) for the same station as a comparison.

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Antochini crane flies (Diptera: Limoniidae: Limoniinae) of Korea

  • Podenas, Sigitas;Byun, Hye-Woo
    • Journal of Species Research
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    • v.2 no.2
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    • pp.167-184
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    • 2013

  • Korean species of Antochini crane flies (Diptera: Limoniidae) are taxonomically revised. Identification keys, redescriptions and illustrations of all species and both sexes are presented. Antocha (Antocha) dentifera Alexander, 1924, Antocha (Antocha) dilatata Alexander, 1924 and Elliptera zipanguensis zipanguensis Alexander, 1924 are listed as new records for the Korean peninsula; Limnorimarga limonioides (Alexander, 1945) as new for South Korea. Females of A. (A.) dentifera, A. (A.) integra Alexander, 1940 and L. limonioides are described for the first time.

  • https://doi.org/10.12651/JSR.2013.2.2.167 인용 PDF