• 제목/요약/키워드: Alive Check

검색결과 5건 처리시간 0.018초

TCP 세션을 활용한 사설망 구간 CCTV 단말의 생사판별 알고리즘 (Device Alive Check Algorithm using TCP Session under CCTV Network based on NAT)

  • 신해준;정연기
    • 한국멀티미디어학회논문지
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    • 제18권5호
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    • pp.631-640
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    • 2015
  • Recently CCTV system is installed widely purpose to enhanced physical security, gathering criminal evidence and management of facilities. In spite of supporting strong management function, CCTV system has weak security function. Therefore high security management function is required. Generally it's not easy to control the devices under NAT using a NMS(Network Management System). So we design and implement alive check algorithm of CCTV devices under NAT using DVRNS address resolution and TCP session check. We evaluated and analyzed of developed system on real environment which includes about 100 DVRs under NAT. As a result of test, it showed that device alive check and DVRNS address resolution were well performed without any error.

컴퓨터 바둑에서 String Graph를 사용한 정적분석 (Static Analysis In Computer Go By Using String Graph)

  • 박현수;김항준
    • 전자공학회논문지CI
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    • 제41권4호
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    • pp.59-66
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    • 2004
  • 본 논문은 정적 분석을 하기 위해서 SG(String Graph)를 정의하고 ASG(Alive String Graph)를 정의한다. String의 사활의 판단을 위해 돌이 포함되지 않은 상태와 돌이 포함된 상태로 나누어 Rule을 적용한다. 돌이 포함되지 않은 상태에서 SR(String Reduction), ER(Empty Reduction), ET(Edge Transform), 그리고 CG(Circular Graph) Rule을 정의한다. 돌이 포함되어진 상태에서 DESR(Dead Enemy Strings Reduction)과 SCSR(Same Color String Reduction) Rule을 정의한다. 이러한 Rule을 사용하여 SG(String Graph)가 ASG(Alive String Graph)인지를 평가한다. 그리고 관절점의 개수에 따라 사활을 판단하기 위해 APC(Articulation Point Check)를 사용하였다. 우리의 방법에 대한 성능은 Computer Go Test Collection의 IGS_31_counted 문제 집합에 대해 실험했다. 이 Test set은 11,191 Points와 1,123 Strings을 가진다. 우리는 실험 결과에서 Points에 대해 92.5% 정확성과 Strings에 대해 95.7%의 정확성을 얻었다.

Standardized ileal digestible lysine requirement of pregnant sows under commercial conditions

  • Hyunwoong Jo;Beob Gyun Kim
    • Animal Bioscience
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    • 제36권12호
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    • pp.1880-1888
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    • 2023
  • Objective: The present experiment aimed to determine standardized ileal digestible (SID) lysine (Lys) requirements for pregnant sows individually housed under commercial farm conditions. Methods: Two hundred multiparous sows (parity = 5.1±2.0) on day 42 of gestation were randomly allocated to five dietary treatments with a balanced parity. Experimental diets were formulated to contain 0.22%, 0.32%, 0.42%, 0.52%, and 0.62% of SID Lys for the mid-gestation period (days 42 to 76) and 0.36%, 0.46%, 0.56%, 0.66%, and 0.76% of SID Lys for the late gestation period (days 77 to 103). All indispensable amino acids except Lys were provided at 110% of their requirement estimates. Daily feed allowance per sow was determined based on the back-fat thickness and body condition score at the second pregnancy check and on day 90 of gestation. Three different statistical models were used to estimate the SID Lys requirement. Results: Total born piglets alive per litter increased linearly and quadratically (p<0.001) as dietary SID Lys increased. For total born piglets alive per litter, the SID Lys requirement estimates ranged from 9.69 to 12.4 g/d for the mid-gestation period (1.19 to 1.52 g/Mcal metabolizable energy; 0.39% to 0.49%) and 14.6 to 17.4 g/d for the late gestation period (1.62 to 1.93 g/Mcal metabolizable energy; 0.52% to 0.62%). Conclusion: The mean values of the SID Lys requirement for the mid-gestation period and the late gestation period are 11.1 and 16.1 g/d (1.36 and 1.79 g/Mcal metabolizable energy; 0.44% and 0.58%), respectively, for maximal total born piglets alive per litter.

인터넷 해킹피해 시스템자동분석에이젼트(AIAA) 및 침입자 역추적 지원도구 구현 (Implementation of Autonomous Intrusion Analysis Agent(AIAA) and Tool for using Intruder Retrace)

  • 임채호;원유헌
    • 한국정보처리학회논문지
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    • 제6권11S호
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    • pp.3410-3419
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    • 1999
  • Autonomous Intrusion Analysis Agent(AIAA) is Incident Response Team staff's tool that scans, analyses, reports and alerts the traces of intrusion based on system logs and intruder's backdoors inside compromised system by IR staff after security incident is reported to the IR team. AIAA is intelligent to recognize to check out who is intruder from all the user accounts and to report the suspected candidates to the master control system in IR team. IR staff who controls AIAA with master system can pick up an intruder from the candidates reported by AIAA agent and review all related summary reports and details including source host's mane, finger information, all illegal behavior and so on. AIAA is moved to compromised system by the staff to investigate the signature of intrusion along the trace of victim hosts and it is also operated in secret mode to detect the further intrusion. AIAA is alive in all victim systems until the incident is closed and IR staff can control AIAA operation and dialogue with AIAA agent in Web interface.

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생존 분석 자료에서 적용되는 시간 가변 ROC 분석에 대한 리뷰 (Review for time-dependent ROC analysis under diverse survival models)

  • 김양진
    • 응용통계연구
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    • 제35권1호
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    • pp.35-47
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    • 2022
  • Receiver operating characteristic (ROC) 곡선은 이항 반응 자료에 대한 마커의 분류 예측력을 측정하기 위해 널리 적용되어왔으며 최근에는 생존 분석에서도 매우 중요한 역할을 하고 있다. 여러 가지 유형의 중도 절단과 원인 불명 등 다양한 종류의 결측 자료를 포함한 생존 자료 분석에서 마커의 사건 발생 여부에 대한 예측력을 판단하기 위해 기존의 통계량을 확장하였다. 생존 분석 자료는 각 시점에서의 사건 발생 여부로 이해할 수 있으며, 따라서 시점마다 ROC 곡선과 AUC를 구할 수 있다. 본 논문에서는 우중도 절단과 경쟁 위험 모형하에서 사용되는 다양한 방법론과 관련 R 패키지를 소개하고 각 방법의 특성을 설명하고 비교하였으며 이를 검토하기 위해 간단한 모의실험을 시행하였다. 또한, 프랑스에서 수집된 치매 자료의 마커 분석을 시행하였다.