• Title/Summary/Keyword: 수집종

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A Design and Implementation of Trigger Agent (Trigger Agent의 설계 및 구현)

  • 천장욱;안동언;정성종
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04b
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    • pp.277-279
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    • 2001
  • 인터넷과 웹의 발전으로 인한 정보량이 급격한 증가로 정보를 수집 하는데 있어 많은 어려움에 부딪치게 되었다. 근래 이런 복잡한 문제를 해결하고자 하는 노력이 에이전트 연구와 접목되어 시도되고 있다. 정보량의 급증으로 인해 로봇을 사용하는 시스템들은 로테이션 타임의 길어지고, 네트웍 망의 과부하를 급증시키고 있다. 이런 문제를 해결하고자 트리거(Trigger) 에이전트를 제안한다. 트리거 에이전트는 웹 서버에 에이전트를 래핑 하여 문서를 모니터링 하게 하고 문서의 갱신이 발생하면 이때 서버에 로봇을 요청하여 문서를 수집하는 아키텍쳐를 가진다.

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III. Plant Characters of Korean Indigenous Corn Lines (재래종 옥수수 수집종에 대한 특성조사 (III))

  • In-Sup Lee;Bong-Ho Chae
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.24 no.1
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    • pp.92-98
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    • 1979
  • Korean local corn lines from various regions in the country were studied for the plant characters such as flowering days. plant height. growth rate. number of ears per plant. leaf size. brace roots and tillers. All the lines without exception were different in plant characters studied and the difference were also apparent among regions from where the original lines were obtained. The variation among lines and original regions indicated that the plant characters were quite dependent upon the magnitude of traditional cultural practices and other environmental factors such as precipitation or cropping systems in regions concerned.

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Classification of Korean Polygonatum Collections Based on Cluster Analysis (군집분석에 의한 한국 자생 둥글레속 수집종의 분류)

  • Yoon, Jong-Sun;Son, Seok-Yong;Hong, Eui-Yeon;Kim, Ik-Hwan;Yoon, Tae;Lee, Chul-Hee;Lee, Chul-Hee
    • Korean Journal of Plant Resources
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    • v.15 no.3
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    • pp.260-268
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    • 2002
  • Morphological characteristics and growth patterns of 20 Polygonatum collections indigenous to Korea were examined and the collections were classified to obtain the basic data for practical use of Polygonatum genetic resources. Based on the cluster analysisi 20 collections were distinctly classified into seven groups with average distance greater than 0.6 between groups. Group I was p. sibiricum Delar, and group II included p. odoratum var. pluriforum Ohwi, P. odoratum var. pturiforum Ohwi 'Variegata' and P. odoratum var. maximowiczii Koidz.. Group III was P. odoratum var. thunbergii Hara, group IV included P. lasianthum var. coreanum Nakai, and group V was P. involucratum Maxim. and P. desoulavyi Komarov. group Ⅵ was P. inflatum Komarov and group Ⅶ was P. humile Fischer ex. Maxim. Morphologically, group I was larger than the other groups, group II and III were medium, and group IV to Ⅶ were small. In the classification of genus Polyognatum, stem length, stem habit, phyllotaxis, stem angularity, petiole, inflorescence, perianth, bract and rhizome were particularly important characters. Group I to III were thought to be useful as the edible and medicinal resources plants, and group IV to Ⅶ were thought to be useful as ornamental plants.

Machine Learning-based Detection of HTTP DoS Attacks for Cloud Web Applications (머신러닝 기반 클라우드 웹 애플리케이션 HTTP DoS 공격 탐지)

  • Jae Han Cho;Jae Min Park;Tae Hyeop Kim;Seung Wook Lee;Jiyeon Kim
    • Smart Media Journal
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    • v.12 no.2
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    • pp.66-75
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    • 2023
  • Recently, the number of cloud web applications is increasing owing to the accelerated migration of enterprises and public sector information systems to the cloud. Traditional network attacks on cloud web applications are characterized by Denial of Service (DoS) attacks, which consume network resources with a large number of packets. However, HTTP DoS attacks, which consume application resources, are also increasing recently; as such, developing security technologies to prevent them is necessary. In particular, since low-bandwidth HTTP DoS attacks do not consume network resources, they are difficult to identify using traditional security solutions that monitor network metrics. In this paper, we propose a new detection model for detecting HTTP DoS attacks on cloud web applications by collecting the application metrics of web servers and learning them using machine learning. We collected 18 types of application metrics from an Apache web server and used five machine learning and two deep learning models to train the collected data. Further, we confirmed the superiority of the application metrics-based machine learning model by collecting and training 6 additional network metrics and comparing their performance with the proposed models. Among HTTP DoS attacks, we injected the RUDY and HULK attacks, which are low- and high-bandwidth attacks, respectively. As a result of detecting these two attacks using the proposed model, we found out that the F1 scores of the application metrics-based machine learning model were about 0.3 and 0.1 higher than that of the network metrics-based model, respectively.

Change in Species Composition of Fish in Chonsu Bay (II) Surf Zone fish (천수만(淺水灣) 어류(魚類)의 종조성(種組成) 변화(變化) 2. 대천(大川) 해빈(海濱) 쇄파대(碎波帶) 어류(魚類))

  • Lee, Tae-Won;Moon, Hyung-Tae;Choi, Shin-Seok
    • Korean Journal of Ichthyology
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    • v.9 no.1
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    • pp.79-90
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    • 1997
  • Monthly samples of surf zone fish at Taechon Beach were collected by a beach seine from June 1995 to May 1996, and analyzed for the species composition, abundance and community structure. Of 26 species identified, Favonigobius gymnauchen, Leiognathus nuchalis, Sillago japonica and Kareius bicoloratus predominated in abundance. In spring, the adults of resident species were dominated. A large number of juveniles of pelagic or demersal fish occupied the surf zone from summer to autumn. Fish numbers and biomass were low in winter. The species composition of the present study showed a similar seasonal trend to that obtained in 1984-85. However, demersal fish such as K. bicoloratus, Repomucenus lunatus, Johnius belengerii and Enedrias fangi, and L. nuchalis were increased, while pelagic fish such as Thrissa koreana, Sardinella zunasi and Konosirus punctatus were diminished. These changes seemed to be related to sedimentation of fine particles for demersal fish and subsequent increase in turbidity for pelagic fish after reclamation in the bay.

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국내 곤충자원 보존 및 DB 구축.활용

  • An, Seung-Rak
    • Journal of Scientific & Technological Knowledge Infrastructure
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    • s.10
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    • pp.50-55
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    • 2002
  • 오늘날 생물다양성의 지속적인 보전과 경제적인 이용에 대한 세계적인 깊은 관심과 이용결과에도 불구하고 분류전공학자 및 연구기관의 절대적인 부족 또는 사회의 인식 미흡 등 여러 가지 이유로 인하여 우리 나라에서는 지금까지 총 30목, 504과, 11,853종의 곤충류만이 알려져 있다. 그리고 여러 국가 조사사업이나 학자들의 개인 전공에 따른 분류군 조사를 통하여 지금까지 국내 대학이나 연구기관에 수집, 보존.관리되고 있는 곤충류 표본의 총수는 완모식 표본 351종을 포함하여 단지 약 1,500,000점에 불과하다. 한편 많은 곤충자원이 국외로 유출되어 지금까지 알려진 숫자만 하여도 국내에서 보존하고 있는 양과 맞먹는다.

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우리나라 패류의 계절에 따른 중금속 오염도 변화

  • 김정민;권훈정;김찬국;이창복
    • Proceedings of the Korean Society of Toxicology Conference
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    • 2003.05a
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    • pp.86-86
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    • 2003
  • 국내에서 식용되고 있는 패류 내의 중금속 오염도를 검색하기 위하여 5, 6, 7, 8, 10, 12월 동안 12종, 70개의 시료를 수집하였다. 젖은 시료 약 3g에 질산과 과산화수소를 가하여 마이크로파 분해 장치로 습식분해하고 희석하여 ICP-MS, 원자흡광 광도계, 원자 형광 광도계로 분석 하였다. 분석 원소는 Hg, Pb, Cd, As를 포함하여 13종이며 계절에 따른 중금속 오염도의 변화양상을 보았다. (중략)

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