• Title/Summary/Keyword: 스윕라인 알고리즘

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Tool-Path Generation using Sweep line Algorithm (스윕라인 알고리즘을 이용한 공구경로의 생성)

  • Seong, Kil-Young;Jang, Min-Ho;Park, Sang-Chul
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.1
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    • pp.63-70
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    • 2009
  • Proposed in the paper is an algorithm to generate tool-path for sculptured surface machining. The proposed algorithm computes tool path by slicing offset triangular mesh, which is the CL-surface (Cutter Location surface). Since the offset triangular mesh includes invalid triangles and self-intersections, it is necessary to remove invalid portions. For the efficient removal of the invalid portions, we extended the sweep line algorithm. The extended sweep line algorithm removes invalid portions very efficiently, and it also considers various degeneracy cases including multiple intersections and overlaps. The proposed algorithm has been implemented and tested with various examples.

Rendering of Sweep Surfaces using Programmable Graphics Hardware (그래픽스 하드웨어를 이용한 스윕 곡면의 렌더링)

  • Ko, Dae-Hyun;Yoon, Seung-Hyun;Lee, Ji-Eun
    • Journal of the Korea Computer Graphics Society
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    • v.16 no.4
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    • pp.11-16
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    • 2010
  • We present an efficient algorithm for rendering sweep surfaces using programmable graphics hardware. A sweep surface can be represented by a cross-section curve undergoing a spline motion. This representation has a simple matrix-vector multiplication structure that can easily be adapted to programmable graphics hardware. The data for the motion and cross-section curves are stored in texture memory. The vertex processor considers a pair of surface parameters as a vertex and evaluates its coordinates and normal vector with a single matrix multiplication. Using the GPU in this way is between 10 and 40 times as fast as CPU-based rendering.

An Inference Method of Stateless Firewall Policy Considering Attack Detection Threshold (공격 탐지 임계값을 고려한 비상태기반 방화벽 정책 추론 방법)

  • Kim, Hyeonwoo;Kwon, Dongwoo;Ju, Hongtaek
    • Journal of Internet Computing and Services
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    • v.16 no.2
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    • pp.27-40
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    • 2015
  • Inferring firewall policy is to discover firewall policy by analyzing response packets as results of active probing without any prior information. However, a brute-force approach for generating probing packets is unavailable because the probing packets may be regarded as attack traffic and blocked by attack detection threshold of a firewall. In this paper, we propose a firewall policy inference method using an efficient probing algorithm which considers the number of source IP addresses, maximum probing packets per second and interval size of adjacent sweep lines as inference parameters to avoid detection. We then verify whether the generated probing packets are classified as network attack patterns by a firewall, and present the result of evaluation of the correctness by comparing original firewall policy with inferred firewall policy.

An Efficient Clustering Algorithm for Massive GPS Trajectory Data (대용량 GPS 궤적 데이터를 위한 효율적인 클러스터링)

  • Kim, Taeyong;Park, Bokuk;Park, Jinkwan;Cho, Hwan-Gue
    • Journal of KIISE
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    • v.43 no.1
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    • pp.40-46
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    • 2016
  • Digital road map generation is primarily based on artificial satellite photographing or in-site manual survey work. Therefore, these map generation procedures require a lot of time and a large budget to create and update road maps. Consequently, people have tried to develop automated map generation systems using GPS trajectory data sets obtained by public vehicles. A fundamental problem in this road generation procedure involves the extraction of representative trajectory such as main roads. Extracting a representative trajectory requires the base data set of piecewise line segments(GPS-trajectories), which have close starting and ending points. So, geometrically similar trajectories are selected for clustering before extracting one representative trajectory from among them. This paper proposes a new divide- and-conquer approach by partitioning the whole map region into regular grid sub-spaces. We then try to find similar trajectories by sweeping. Also, we applied the $Fr{\acute{e}}chet$ distance measure to compute the similarity between a pair of trajectories. We conducted experiments using a set of real GPS data with more than 500 vehicle trajectories obtained from Gangnam-gu, Seoul. The experiment shows that our grid partitioning approach is fast and stable and can be used in real applications for vehicle trajectory clustering.