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Efficient Path Finding in 3D Games by Using Visibility Tests (가시성 검사를 이용한 3차원 게임에서의 효율적인 경로 탐색)

  • Kim, Hyung-Il;Jung, Dong-Min;Um, Ky-Hyun;Cho, Hyung-Je;Kim, Jun-Tae
    • Journal of Korea Multimedia Society
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    • v.9 no.11
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    • pp.1483-1495
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    • 2006
  • The navigation mesh represents a terrain as a set of triangles on which characters may move around. The navigation mesh cab be generated automatically, and it is more flexible in representing 3D surface. The number of triangles to represent a terrain may vary according to the structure of the terrain. As characters are moving around on a navigation mesh, the path planning can be performed more easily by projecting the 3D surfaces into 2D space. However, when the terrain is represented with an elaborated mesh of large number of triangles to achieve more realistic movements, the path finding can be very inefficient because there are too many states(triangles) to be searched. In this paper, we propose an efficient method of path finding in 3D games where the terrain is represented by navigation meshes. Our method uses the visibility tests. When the graph-based search is applied to elaborated polygonal meshes for detailed terrain representation, the path finding can be very inefficient because there are too many states(polygons) to be searched. In our method, we reduce the search space by using visibility tests so that the search can be fast even on the detailed terrain with large number of polygons. First we find the visible vertices of the obstacles, and define the heuristic function as the distance to the goal through those vertices. By doing that, the number of states that the graph-based search visits can be substantially reduced compared to the plane search with straight-line distance heuristic.

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A XML Instance Repository Model based on the Edge-Labeled Graph (Edge-Labeled 그래프 기반의 XML 인스턴스 저장 모델)

  • Kim Jeong-Hee;Kwak Ho-Young
    • Journal of Internet Computing and Services
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    • v.4 no.6
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    • pp.33-42
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    • 2003
  • A XML Instance repository model based on the Edge-Labeled Graph is suggested for storing the XML instance in Relational Databases, This repository model represents the XML instance as a data graph based on the Edge-Labeled Graph, extracts the defined value based on the structure of data path, element, attribute, and table index table presented as database schema, and stores these values using the Mapper module, In order to support querry, XML repository model offers the module translating XQL which is a query language under XPATH to SQL, and has DBtoXML generator module restoring the stored XML instance. As a result, it is possible to represent the storage relationship between the XML instances and the proposed repository model in terms of Graph-based Path, and it shows the possibility of easy search of specific element and attribute information.

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Graph-based Mixed Heuristics for Effective Planning (효율적인 계획생성을 위한 그래프 기반의 혼합 휴리스틱)

  • Park, Byungjoon;Kim, Wantae;Kim, Hyunsik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.3
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    • pp.27-37
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    • 2021
  • Highly informative heuristics in AI planning can help to a more efficient search a solutions. However, in general, to obtain informative heuristics from planning problem specifications requires a lot of computational effort. To address this problem, we propose a Partial Planning Graph(PPG) and Mixed Heuristics for solving planning problems more efficiently. The PPG is an improved graph to be applied to can find a partial heuristic value for each goal condition from the relaxed planning graph which is a means to get heuristics to solve planning problems. Mixed Heuristics using PPG requires size of each graph is relatively small and less computational effort as a partial plan generated for each goal condition compared to the existing planning graph. Mixed Heuristics using PPG can find partial interactions for each goal conditions in an effective way, then consider them in order to estimate the goal state heuristics. Therefore Mixed Heuristics can not only find interactions for each goal conditions more less computational effort, but also have high accuracy of heuristics than the existing max and additive heuristics. In this paper, we present the PPG and the algorithm for computing Mixed Heuristics, and then explain analysis to accuracy and the efficiency of the Mixed Heuristics.

A Semantic Social Network System in Korea Institute of Oriental Medicine (한국한의학연구원 시맨틱 소셜 네트워크 시스템 구축)

  • Kim, Sang-Kyun;Jang, Hyun-Chul;Kim, Chul;Yea, Sang-Jun;Kim, Jin-Hyun;Song, Mi-Young
    • Korean Journal of Oriental Medicine
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    • v.16 no.2
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    • pp.91-99
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    • 2010
  • In this paper, we designed and implemented a semantic social network system in Korea Institute of Oriental Medicine (abbreviated as KIOM). Our social network system provides the capabilities such as tracking search, ontology reasoning, ontology graph view, and personal information input, update and management. Tracking search provides the search results by the research information of relevant researchers using ontology, in addition to those by keywords. Ontology reasoning provides the reasoning for experts, mentors, and personal contacts. Users can easily browse the personal connections among researchers by traversing the ontology by graph viewer. These allows KIOM researchers to search other researchers who could aid the researches and to easily share their research information.

A heuristic path planning method for robot working in an indoor environment (실내에서 작업하는 로봇의 휴리스틱 작업경로계획)

  • Hyun, Woong-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.8
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    • pp.907-914
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    • 2014
  • A heuristic search algorithm is proposed to plan a collision free path for robots in an indoor environment. The proposed algorithm is to find a collision free path in the gridded configuration space by proposed heuristic graph search algorithm. The proposed algorithm largely consists of two parts : tunnel searching and path searching in the tunnel. The tunnel searching algorithm finds a thicker path from start grid to goal grid in grid configuration space. The tunnel is constructed with large grid defined as a connected several minimum size grids in grid-based configuration space. The path searching algorithm then searches a path in the tunnel with minimum grids. The computational time of the proposed algorithm is less than the other graph search algorithm and we analysis the time complexity. To show the validity of the proposed algorithm, some numerical examples are illustrated for robot.

Enhanced Methods of Path Finding Based on An Abstract Graph with Extension of Search Space (탐색 영역 확장 기법들을 활용한 추상 그래프 기반의 탐색 알고리즘 성능 개선)

  • Cho, Dae-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.1
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    • pp.157-162
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    • 2011
  • In this paper, we propose enhanced methods of path finding based on an abstract graph with extension of search space to improve the quality of path. The proposed methods that are called simple buffering method, velocity constrained method and distance constrained method are to extract buffering-cells for using search space with valid-cells. The simple buffering method is to extract adjacent cells of valid-cells as buffering-cells. velocity constrained method and distance constrained method are based on simple buffering method, these eliminate buffering-cells through each of threshold. In experiment, proposed methods can improve the quality of path. The proposed methods are applicable to develop various kinds of telematics application, such as path finding and logistics.

A Heuristic Search Algorithm for Solving Partially-Observable, Non-Deterministic Planning Problems (부분적으로 관측가능하고 비결정적인 계획문제를 풀기 위한 휴리스틱 탐색 알고리즘)

  • Kim, Hyun-Sik;Park, Chan-Young;Kim, In-Cheol
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.10
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    • pp.786-790
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    • 2009
  • In this paper, we present a new heuristic search algorithm, HSCP, that can solve conditional/contingent planning problems with nondeterministic actions as well as partial observations. The algorithm repeats its AND-OR search trials until a complete solution graph can be found. However, unlike existing heuristic AND-OR search algorithms such as$AO^*$ and $LAO^*$, the AND-OR search trial conducted by HSCP concentrates on only a single candidate of solution subgraphs to expand it into a complete solution graph. Moreover, unlike real-time dynamic programming algorithms such as RTDP and LRTDP, the AND-OR search trial of HSCP finds a solution immediately when it possible without delaying it until the estimated value of every state converges. Therefore, the HSCP search algorithm has the advantage that it can find a sub-optimal conditional plan very efficiently.

Improved approach of calculating the same shape in graph mining (그래프 마이닝에서 그래프 동형판단연산의 향상기법)

  • No, Young-Sang;Yun, Un-Il;Kim, Myung-Jun
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.251-258
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    • 2009
  • Data mining is a method that extract useful knowledges from huge size of data. Recently, a focussing research part of data mining is to find interesting patterns in graph databases. More efficient methods have been proposed in graph mining. However, graph analysis methods are in NP-hard problem. Graph pattern mining based on pattern growth method is to find complete set of patterns satisfying certain property through extending graph pattern edge by edge with avoiding generation of duplicated patterns. This paper suggests an efficient approach of reducing computing time of pattern growth method through pattern growth's property that similar patterns cause similar tasks. we suggest pruning methods which reduce search space. Based on extensive performance study, we discuss the results and the future works.

Restoration of Distribution System with Distributed Energy Resources using Level-based Candidate Search

  • Kim, Dong-Eok;Cho, Namhun
    • Journal of Electrical Engineering and Technology
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    • v.13 no.2
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    • pp.637-647
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    • 2018
  • In this paper, we propose a method to search candidates of network reconfiguration to restore distribution system with distributed energy resources using a level-based tree search algorithm. First, we introduce a method of expressing distribution network with distributed energy resources for fault restoration, and to represent the distribution network into a simplified graph. Second, we explain the tree search algorithm, and introduce a method of performing the tree search on the basis of search levels, which we call a level-based tree search in this paper. Then, we propose a candidate search method for fault restoration, and explain it using an example. Finally, we verify the proposed method using computer simulations.

A Processor Assignment Problem for ATM Switch Configuration

  • Han, Junghee;Lee, YoungHo
    • Management Science and Financial Engineering
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    • v.10 no.2
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    • pp.89-102
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    • 2004
  • In this paper, we deal with a processor assignment problem that minimizes the total traffic load of an ATM switch controller by optimally assigning processors to ATM interface units. We develop an integer programming (IP) model for the problem, and devise an effective tabu search heuristic. Computational results reveal the efficacy of the proposed tabu search procedure, finding a good quality solution within 5% of optimality gap.