• Title/Summary/Keyword: 최단거리 알고리즘

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A Genetic Approach for Routing Problems in Optical Meshes (메쉬형 광네트워크의 라우팅 문제를 위한 유전자 알고리즘)

  • 박용규;위규범;예홍진
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10c
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    • pp.768-770
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    • 1999
  • 본 논문에서는 메쉬(Mesh)형 광 네트워크에서의 전방송(All-to-All Broadcast)을 위한 라우팅(Routing) 문제를 다루고 있다. n$\times$m 으로 구성된 메쉬(Mesh)형 구조에서 자기 자신을 제외한 모든 노드로의 방송을 위하여 구성되는 Path가 최단 거리를 유지하면서 Path들이 지나가는 각각의 링크(Link)에 대한 사용빈도를 초대한 균등하게 분포시키는 유전자 알고리즘(Genetic Algorithms)을 제안하였다.

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A Study on Stowage Automation Algorithm for Cargo Stowage Optimization of Vehicle Carriers (차량 운반선의 화물 적재 최적화를 위한 적재 자동화 알고리즘 연구)

  • JI Yeon Kim;Young-Jin Kang;Jeong, Seok Chan;Hoon Lee
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.129-137
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    • 2022
  • With the development of the 4th industry, the logistics industry is evolving into a smart logistics system. However, ship work that transports vehicles is progressing slowly due to various problems. In this paper, we propose an stowage automation algorithm that can be used for cargo loading of vehicle carriers that shortens loading and unloading work time. The stowage automation algorithm returns the shortest distance by searching for a loading space and a movable path in the ship in consideration of the structure of the ship. The algorithm identifies walls, ramps and vehicles that have already been shipped, and can work even with randomly placed. In particular, it is expected to contribute to developing a smart logistics system for vehicle carriers by referring to the ship's master plan to search for vehicle loading and unloading space in each port and predict the shortest movable path.

Clustering Methods for Cluster Uniformity in Wireless Sensor Networks (무선센서 네트워크에서 클러스터 균일화를 위한 클러스터링 방법)

  • Joong-Ho Lee
    • Journal of IKEEE
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    • v.27 no.4
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    • pp.679-682
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    • 2023
  • In wireless sensor networks, communication failure between sensor nodes causes continuous connection attempts, which results in a large power loss. In this paper, an appropriate distance between the CH(Cluster Head) node and the communicating sensor nodes is limited so that a group of clusters of appropriate size is formed on a two-dimensional plane. To equalize the cluster size, sensor nodes in the shortest distance communicate with each other to form member nodes, and clusters are formed by gathering nearby nodes. Based on the proposed cluster uniformity algorithm, the improvement rate of cluster uniformity is shown by simulation results. The proposed method can improve the cluster uniformity of the network by about 30%.

Message Routing Algorithm on an Injured Hypercube (손상된 하이퍼큐브상의 메세지 라우팅 알고리즘)

  • Gong, Heon-Taek;U, Ji-Un
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.2
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    • pp.242-250
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    • 1996
  • Communications on hypercube nodes are done by explicit message routing. So efficient message routing is very important for the performance of hypercube multicomputers. However, hypercube nodes can be faulty due to hardware and/o r software problems, which is called an injured hypercube. A reliable hypercube system should tolerate the problems. One of the methods to enhance reliability on injured hypercube is to use fault-tolerant message routing algorithms. In this paper, we propose a message routing algorithm with possible shortest distance using disjoint paths. To analyze the performance, the algorithm is simulated and evaluated.

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On Minimum-Cost Rectilinear Steiner Distance-Preserving Tree (최소 비용 직각선분 Steiner 거리 유지 트리의 최적화)

  • Jo, Jun-Dong
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.7
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    • pp.1707-1718
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    • 1996
  • Given a signal net N=s, 1,...,n to be the set of nodes, with s the source and the remaining nodes sinks, an MRDPT (minimum-cost rectilinear Steiner distance -preserving tree) has the property that the length of every source to sink path is equal to the rectilinear distance between the source and sink. The minimum- cost rectilinear Steiner distance-preserving tree minimizes the total wore length while maintaining minimal source to sink length. Recently, some heuristic algorithms have been proposed for the problem offending the MRDPT. In this paper, we investigate an optimal structure on the MRDPT and present a theoretical breakthrough which shows that the min-cost flow formulation leads to an efficient O(n2logm)2) time algorithm. A more practical extension is also in vestigated along with interesting open problems.

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A TOA Shortest Distance Algorithm for Estimating Mobile Location (모바일 위치추정을 위한 TOA 최단거리 알고리즘)

  • Pradhan, Sajina;Hwang, Suk-Seung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.12
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    • pp.1883-1890
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    • 2013
  • Location detection technology (LDT) is one of the core techniques for location based service (LBS) in wireless communication for improving resource management and quality of services. The location of a mobile station (MS) is estimated using the time of arrival (TOA) technique based on three circles with centers corresponding to coordinates of three base stations (BSs) and radius corresponding to distances between MS and BSs. For accurately estimating the location of MS, three circles should meet at a point for the trilateration method, but they generally do not meet a point because the radius is increased depending on the number of time delay for estimating the distance between MS and BS and the carrier frequency. The increased three circles intersect at six points and the three intersection points among them should be generally placed close to coordinate of the location for the specific MS. In this paper, we propose the shortest distance algorithm for TOA trilateration method, to select three interior intersection points from entire six points. The proposed approach selects three intersection points with the shortest distances between coordinates of MS and intersection points and determines the averaged coordinate of the selected three points, as the location of the specific MS. We demonstrate the performance of the proposed algorithm using a typical computer simulation example.

GIS Optimization for Bigdata Analysis and AI Applying (Bigdata 분석과 인공지능 적용한 GIS 최적화 연구)

  • Kwak, Eun-young;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.171-173
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    • 2022
  • The 4th industrial revolution technology is developing people's lives more efficiently. GIS provided on the Internet services such as traffic information and time information makes people getting more quickly to destination. National geographic information service(NGIS) and each local government are making basic data to investigate SOC accessibility for analyzing optimal point. To construct the shortest distance, the accessibility from the starting point to the arrival point is analyzed. Applying road network map, the starting point and the ending point, the shortest distance, the optimal accessibility is calculated by using Dijkstra algorithm. The analysis information from multiple starting points to multiple destinations was required more than 3 steps of manual analysis to decide the position for the optimal point, within about 0.1% error. It took more time to process the many-to-many (M×N) calculation, requiring at least 32G memory specification of the computer. If an optimal proximity analysis service is provided at a desired location more versatile, it is possible to efficiently analyze locations that are vulnerable to business start-up and living facilities access, and facility selection for the public.

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Efficient Geometric Model Reconstruction using Contour Lines (외곽선을 이용한 효율적인 기하모델 재구성 기법)

  • Jung Hoe Sang;Kwon Koo Joo;Shin Byeong-Seok
    • Journal of KIISE:Computer Systems and Theory
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    • v.32 no.8
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    • pp.418-425
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    • 2005
  • 3D surface reconstruction is to make the original geometry of 3D objects from 2D geometric information. Barequet's algorithm is well known and most widely used in surface reconstruction. It tiles matched regions first, then triangulates clefts using dynamic programming. However it takes considerably long processing time while manipulating complex model. Our method tiles a simple region that does not have branches along minimally distant vertex pairs at once. When there are branches, our method divides contour lines into a simple region and clefts. We propose a fast and simple method that calculates medial axes using a minimum distance in cleft region. Experimental results show that our method can produce accurate models than the previous method within short time.

A Java Birthmark based on Control Flow Graph Matching (제어 흐름 그래프 매칭 기반 자바 버스마크)

  • Park, Hee-Wan;Lim, Hyun-Il;Choi, Seok-Woo;Han, Tai-Sook
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.11
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    • pp.871-875
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    • 2009
  • A software birthmark is inherent characteristics that can be used to identify a program. In this paper, we propose a new Java birthmark based on control flow graph (CFG) matching. The CFG matching consists of node matching and edge matching. To get similarities of nodes and edges of two CFGs, we apply a sequence alignment algorithm and a shortest path algorithm, respectively. To evaluate the proposed birthmark, we perform experiments on Java programs that implement various algorithms. In the experiments, the proposed birthmark shows not only high credibility and resilience but also fast runtime performance.

An Optimal Model for Indoor Pedestrian Evacuation considering the Entire Distribution of Building Pedestrians (건물내 전체 인원분포를 고려한 실내 보행자 최적 대피모형)

  • Kwak, Su-Yeong;Nam, Hyun-Woo;Jun, Chul-Min
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.2
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    • pp.23-29
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    • 2012
  • Existing pedestrian and evacuation models generally seek to find locally optimal solutions for the shortest or the least time paths to exits from individual locations considering pedestrian's characteristics (eg. speed, direction, sex, age, weight and size). These models are not designed to produce globally optimal solutions that reduce the total evacuation time of the entire pedestrians in a building when all of them evacuate at the same time. In this study, we suggest a globally optimal model for indoor pedestrian evacuation to minimize the total evacuation time of occupants in a building considering different distributions of them. We used the genetic algorithm, one of meta-heuristic techniques because minimizing the total evacuation time can not be easily solved by polynomial expressions. We found near-optimal evacuation path and time by expressing varying pedestrians distributions using chromosomes and repeatedly filtering solutions. In order to express and experiment our suggested algorithm, we used CA(cellular automata)-based simulator and applied to different indoor distributions and presented the results.