• 제목/요약/키워드: sun path

검색결과 547건 처리시간 0.027초

Vulnerable Path Attack and its Detection

  • She, Chuyu;Wen, Wushao;Ye, Quanqi;Zheng, Kesong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권4호
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    • pp.2149-2170
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    • 2017
  • Application-layer Distributed Denial-of-Service (DDoS) attack is one of the leading security problems in the Internet. In recent years, the attack strategies of application-layer DDoS have rapidly developed. This paper introduces a new attack strategy named Path Vulnerabilities-Based (PVB) attack. In this attack strategy, an attacker first analyzes the contents of web pages and subsequently measures the actual response time of each webpage to build a web-resource-weighted-directed graph. The attacker uses a Top M Longest Path algorithm to find M DDoS vulnerable paths that consume considerable resources when sequentially accessing the pages following any of those paths. A detection mechanism for such attack is also proposed and discussed. A finite-state machine is used to model the dynamical processes for the state of the user's session and monitor the PVB attacks. Numerical results based on real-traffic simulations reveal the efficiency of the attack strategy and the detection mechanism.

Critical Path 기법을 이용한 자동화 시스템의 공정 최적화 사례 연구 (Process Optimization of an Automated System Using Critical Path Method)

  • 이승연;강길순;장종태;유준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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    • pp.219-222
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    • 2003
  • 본 논문에서는 주어진 자동화 시스템에 대하여 Critical Path 기법을 적용한 최적화 연구를 수행하였다. 탄약 운반 자동화 시스템에 대하여 공정순서와 시간개념이 들어간 Timed Petri-Net을 이용한 이산사건 공정모델을 구축하였으며, 이를 기초로 초기조건 및 제약조건을 고려하여 제악탐색기법을 이용하여 Critical Path를 찾고 여유 공정을 산출항으로써 공정 시간 최적화를 수행하였다.

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VLSI 논리회로의 동적 임계경로 선택 알고리듬 (DYSAC) (Dynamic Critical Path Selection Algorithm (DYSAC) for VLSI Logic Circuits)

  • 김동욱;조원일;김종현
    • 전자공학회논문지C
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    • 제35C권9호
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    • pp.1-10
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    • 1998
  • 본 논문에서는 대형 디지털 회로에 대하여 임계경로를 탐색하는 시간을 줄이고 기존의 방법에서 임계경로를 찾지 못했던 회로에서도 정확히 임계경로를 찾을 수 있는 임계경로 탐색 알고리듬(DYSAC)을 제안하였다. 또한 이 탐색 알고리듬의 내부에서 사용되는 경로부각기준(DYPSEC)을 함께 제안하였다. DYSAC는 각 노드에 레벨을 부과하기 위한 레벨지정 부알고리듬과 최장의 부각가능한 경로를 찾는 임계경로 탐색 부알고리듬으로 구성되었다. 제안된 알고리듬은 SUN Sparc 환경에서 C-언어로 구현되어 ISCAS'85 벤치마크회로에 적용, 제안된 알고리듬의 정확한 동작여부를 확인하였다. 또한 실험결과를 기존의 방법들과 비교하였는데, 그 결과 제안된 알고리듬이 임계경로를 찾는 능력과 임계경로를 찾는데 걸리는 시간 모두에서 기존의 방법들보다 월등히 우수함을 보였다.

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전달경로해석법에 의한 진동하는 판넬의 방사 소음 예측 (Prediction Of Vibrating Panel's Radiating Noise By Transfer Path Analysis)

  • 오재응;이선훈;정운창;김진수;이유엽
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2014년도 추계학술대회 논문집
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    • pp.292-293
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    • 2014
  • Transfer Path Analysis is technique predicting transmitted energy through each path. Using the Transfer Path Analysis, structure-borne noise and air-borne noise can be predicted from the system. In this study, however, the Transfer Path Analysis to target only the structure-borne noise due to the noise radiated from the vibrating panel was performed. Predicted noise by the Transfer Path Analysis and measured noise by the experiment were a high correlation. We confirmed the validity of the Transfer Path Analysis through the analysis of these results, showed how to apply the Transfer Path Analysis.

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저궤도 위성용 저정밀 태양센서 선행모델 및 인증모델 개발 (Development of Path finder Model and Qualified Model of Coarse Sun Sensor Assembly for Low Earth Orbit Satellite)

  • 김용복;조영준;용기력;우형제
    • Journal of Astronomy and Space Sciences
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    • 제25권4호
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    • pp.491-504
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    • 2008
  • 태양센서는 인공위성의 자세제어에 필수적인 센서로서, 위성으로 입사되는 태양 빛의 방향을 측정하거나 위성이 태양을 보지 못하는 상태에 있는지를 판단하기 위해서 사용되고 있다. 이 논문에서는 저궤도 인공위성용 저정밀 태양센서의 성공적인 개발을 위하여, 비행모델 저정밀 태양센서를 개발하기 전에 태양센서 선행모델과 인증모델의 개발 과정 및 결과를 보여준다. 태양센서의 개발은 제작 특성상 공정의 명확성, 정밀성 그리고 많은 제작 경험을 필요로 한다. 이 논문에서는 선행모델과 인증모델을 개발함으로써, 공정의 명확성 및 정밀성을 갖도록 보완하였다. 따라서, 성능 요구 조건을 만족하는 결과를 얻을 수 있었다.

Optimal Path Planning Using Critical Points

  • Lee, Jin-Sun;Choi, Chang-Hyuk;Song, Jae-Bok;Chung, Woo-Jin;Kim, Mun-Sang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.131.4-131
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    • 2001
  • A lot of path planning algorithms have been developed to find the collision-free path with minimum cost. But most of them require complicated computations. In this paper, a thinning method, which is one of the image processing schemes, was adopted to simplify the path planning procedure. In addition, critical points are used to find the shortest-distance path among all possible paths from the start to the goal point. Since the critical points contain the information on the neighboring paths, a new path can be quickly obtained on the map even when the start and goal points change. To investigate the validity of the proposed algorithm, various simulations have been performed for the environment where the obstacles with arbitrary shapes exist. It is shown that the optimal paths can be found with relative easiness.

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Distributed Optimal Path Generation Based on Delayed Routing in Smart Camera Networks

  • Zhang, Yaying;Lu, Wangyan;Sun, Yuanhui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권7호
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    • pp.3100-3116
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    • 2016
  • With the rapid development of urban traffic system and fast increasing of vehicle numbers, the traditional centralized ways to generate the source-destination shortest path in terms of travel time(the optimal path) encounter several problems, such as high server pressure, low query efficiency, roads state without in-time updating. With the widespread use of smart cameras in the urban traffic and surveillance system, this paper maps the optimal path finding problem in the dynamic road network to the shortest routing problem in the smart camera networks. The proposed distributed optimal path generation algorithm employs the delay routing and caching mechanism. Real-time route update is also presented to adapt to the dynamic road network. The test result shows that this algorithm has advantages in both query time and query packet numbers.

컨베이어 추적을 위한 로봇 매니퓰레이터의 임의의 경로에 대한 최소시간 궤적계획 (Minimum-time trajectory planning of a robot manipulator with an arbitrary path for conveyor tracking)

  • 윤기호;정선태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.826-829
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    • 1995
  • In this paper, the problem of minimum-time trajectory planning of a robot manipulator with an arbitrary path is dealt. As for a straight path, the trajectory planning can be done without difficulty since the path is easily parameterized by its length. However, this is not the case for a non-straight path. In this paper, by noting that the others' joint angles and velocities are determined if one joint's angle and velocity are known, we reduce the problem of trajectory planning on a non-straight path to one in the 2-dimensional space of one joint's angle and velocity. Then, by applying the dynamic programming, we achieve the minimum-time trajectory planning. A simulation is done for verifying this.

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태양광 에너지 무인항공기의 장기체공을 위한 경로 탐색 (Efficient Path Planning for Long Term Solar UAV Flight)

  • 류한석;변희재;박상혁
    • 항공우주시스템공학회지
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    • 제8권4호
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    • pp.32-38
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    • 2014
  • Sufficient energy charging during a day is essential for a solar-powered long-endurance aircraft. Variations of flight path that is superior to a basic circle path are sought in this study for more efficient charging. Flight path associated with roll and pitch attitudes are investigated. It seems that the pitch angle can play more important role than the roll angle for the solar charging efficiency. Thus, more energy charging is observed when the entire flight path is tilted toward the direction of the sun.

이산 경로 시스템에서 유전알고리듬을 이용한 최적음향탐색경로 전략 (Optimal Acoustic Search Path Planning Based on Genetic Algorithm in Discrete Path System)

  • 조정홍;김정해;김재수;임준석;김성일;김영선
    • 한국해양공학회지
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    • 제20권1호
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    • pp.69-76
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    • 2006
  • The design of efficient search path to maximize the Cumulative Detection Probability(CDP) is mainly dependent on experience and intuition when searcher detect the target using SONAR in the ocean. Recently with the advance of modeling and simulation method, it has been possible to access the optimization problems more systematically. In this paper, a method for the optimal search path calculation is developed based on the combination of the genetic algorithm and the calculation algorithm for detection range. We consider the discrete system for search path, space, and time, and use the movement direction of the SONAR for the gene of the genetic algorithm. The developed algorithm, OASPP(Optimal Acoustic Search Path Planning), is shown to be effective, via a simulation, finding the optimal search path for the case when the intuitive solution exists. Also, OASPP is compared with other algorithms for the measure of efficiency to maximize CDP.