• Title/Summary/Keyword: GARP

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Development of GARP/GVRP for network switches based on Linux (리눅스 기반 네트워크 스위치를 위한 GARP/GVRP 개발)

  • 노윤정;이원석;김준우;강경태;김지현;신현식
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04a
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    • pp.211-213
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    • 2003
  • 가상랜(VLAN:Virtual LAN) 기술은 멀티 캐스트 트래픽의 감소 효과가 크고, 효율적인 네트워크 보안 및 관리를 지원하므로, 대부분 최근의 상용 스위치는 가상랜 환경에서의 동작을 지원하고 있다. 가상랜 환경에서 동작하는 스위치에서 가상랜 정보를 주고받기 위하여 사용하는 프로토콜이 GARP/ GVRP(Generic Attribute Registration Protocol/GARP VALN Registration Protocol)이다. 이 프로토콜은 네트워크 환경에서 가상랜 정보가 바뀔 때마다 동적으로 각 스위치의 가상랜 정보를 설정해 줌으로써 네트워크 관리자의 수고를 덜어주며, 효율적으로 가상랜을 관리하는 방법을 지원하는 것이다. 따라서 가상랜 환경에서 동작하는 스위치는 대부분 GARP/GVRP를 내장하고 있으나, 범용 소스가 없이 생산업체 별로 자체 구현한 GARP/GVRP를 각각의 스위치에 탑재하고 있다. 본 논문은 이렇게 가상랜 환경을 지원하는 스위치에 필수적인 프로토콜인 GARP/GVRP를 리눅스 커널에 삽입 가능한 모듈 형태로 개발하였다. 또 개발한 모듈을 기가빗 이더넷 스위치(Gigabit Ethernet Switch)에 이식된 리눅스 커널에 삽입. 동작시키고 공인된 테스트 집합을 이용하여 프로토콜이 정확하게 동작함을 검증하였다.

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A Comparison of Machine Learning Species Distribution Methods for Habitat Analysis of the Korea Water Deer (Hydropotes inermis argyropus) (고라니 서식지 분석을 위한 기계학습식 종분포모형 비교)

  • Song, Won-Kyong;Kim, Eun-Young
    • Korean Journal of Remote Sensing
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    • v.28 no.1
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    • pp.171-180
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    • 2012
  • The field of wildlife habitat conservation research has attracted attention as integrated biodiversity management strategies. Considering the status of the species surveying data and the environmental variables in Korea, the GARP and Maxent models optimized for presence-only data could be one of the most suitable models in habitat modeling. For make sure applicability in the domestic environment we applied the machine learning species distribution model for analyzing habitats of the Korea water deer($Hydropotes$ $inermis$ $argyropus$) in the $Sapgyocheon$ watershed, $Chungcheong$ province. We used the $3^{rd}$ National Natural Environment Survey data and 10 environment variables by literature review for the modelling. Analysis results showed that habitats for the Korea water deer were predicted 16.3%(Maxent) and 27.1%(GARP), respectively. In terms of accuracy(training/test) the Maxent(0.85/0.69) was higher than the GARP(0.65/0.61), and the Spearman's rank correlation coefficient result of the Maxent(${\rho}$=0.71, p<0.01) was higher than the result of GARP(${\rho}$=0.55, p<0.05). However results could be depended on sites and target species, therefore selection of the appropriate model considering on the situation will be important to analyzing habitats.

Predicting the Invasion Pathway of Balanus perforatus in Korean Seawaters

  • Choi, Keun-Hyung;Choi, Hyun-Woo;Kim, Il-Hoi;Hong, Jae-Sang
    • Ocean and Polar Research
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    • v.35 no.1
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    • pp.63-68
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    • 2013
  • The European Common Barnacle Balanus perforatus Brugiere (Crustacea, Cirripedia) has been introduced into the east coast of Korea, presumably via the ballast water of ships. The species has since been spreading along both the northern and southern coast to the east, most likely due to alongshore currents. We predicted the potential range expansion of Balanus perforatus in Korean waters using Genetic Algorithm for Rule-set Prediction (GARP), an environmental niche modeling technique. The results show that much of the southern coastal waters of Korea could be colonized by the spread of the nonindigenous species, but that the west coast is unlikely to be invaded. More sampling on the west coast would enhance the predictability of the model. To our knowledge, this is the first report of its kind for predicting marine nonindigenous species in Korean waters using GARP modeling.

Shifts of Geographic Distribution of Pinus koraiensis Based on Climate Change Scenarios and GARP Model (GARP 모형과 기후변화 시나리오에 따른 잣나무의 지리적 분포 변화)

  • Chun, Jung Hwa;Lee, Chang Bae;Yoo, So Min
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.17 no.4
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    • pp.348-357
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    • 2015
  • The main purpose of this study is to understand the potential geographic distribution of P. koraiensis, which is known to be one of major economic tree species, based on the RCP (Representative Concentration Pathway) 8.5 scenarios and current geographic distribution from National Forest Inventory(NFI) data using ecological niche modeling. P. koraiensis abundance data extracted from NFI were utilized to estimate current geographic distribution. Also, GARP (Genetic Algorithm for Rule-set Production) model, one of the ecological niche models, was applied to estimate potential geographic distribution and to project future changes. Environmental explanatory variables showing Area Under Curve (AUC) value bigger than 0.6 were selected and constructed into the final model by running the model for each of the 27 variables. The results of the model validation which was performed based on confusion matrix statistics, showed quite high suitability. Currently P. koraiensis is distributed widely from 300m to 1,200m in altitude and from south to north as a result of national greening project in 1970s although major populations are found in elevated and northern area. The results of this study were successful in showing the current distribution of P. koraiensis and projecting their future changes. Future model for P. koraiensis suggest large areas predicted under current climate conditions may be contracted by 2090s showing dramatic habitat loss. Considering the increasing status of atmospheric $CO_2$ and air temperature in Korea, P. koraiensis seems to experience the significant decrease of potential distribution range in the future. The final model in this study may be used to identify climate change impacts on distribution of P. koraiensis in Korea, and a deeper understanding of its correlation may be helpful when planning afforestation strategies.