• Title/Summary/Keyword: 최단접근점

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A Robust and Efficient Method to Compute the Closest Approach Distance between Two Ellipsoids (두 타원체 사이의 최단 접근 거리를 구하는 안정적이며 효율적인 방법)

  • Choi, Min Gyu
    • Journal of Korea Game Society
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    • v.19 no.6
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    • pp.99-106
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    • 2019
  • This paper addresses a method to compute the closest approach distance between two ellipsoids in their inter-center direction. This is the key technique for collision detection and response between ellipsoids. We formulate a set of conditions with the inter-center distance, the contact point and the contact normal vector of the two externally-contacting ellipsoids. The equations are solved robustly and efficiently using a hybrid of Newton's method and the bisection method with root bracketing. We demonstrate the robustness and efficiency of the proposed method in various experiments.

Network Structures of The Metropolitan Seoul Subway Systems (서울 대도시권 지하철망의 구조적 특성 분석)

  • Park, Jong-Soo;Lee, Keum-Sook
    • Journal of the Economic Geographical Society of Korea
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    • v.11 no.3
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    • pp.459-475
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    • 2008
  • This study analyzes the network structure of the Metropolitan Seoul subway system by applying complex network analysis methods. For the purpose, we construct the Metropolitan Seoul subway system as a network graph, and then calculate various indices introduced in complex network analysis. Structural characteristics of Metropolitan Seoul subway network are discussed by these indices. In particular, this study determines the shortest paths between nodes based on the weighted distance (physical and time distance) as well as topological network distance, since urban travel movements are more sensitive for them. We introduce an accessibility measurement based on the shortest distance both in terms of physical distance and network distance, and then compare the spatial structure between two. Accessibility levels of the system have been getting up overall, and thus the accessibility gaps have been getting lessen between center located subway stops and remote ones during the last 10 years. Passenger traffic volumes are explored from real passenger transaction databases by utilizing data mining techniques, and mapped by GIS. Clear differences reveal between the spatial patterns of real passenger flows and accessibility. That is, passenger flows of the Metropolitan Seoul subway system are related with population distribution and land use around subway stops as well as the accessibility supported by the subway network.

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3D localization of internal noise source based on Doppler effect (도플러 효과를 기반으로한 내부 소음원의 3차원 위치 추정)

  • Bae, Jung-Ho;Seong, Woojae;Lee, Keunhwa
    • The Journal of the Acoustical Society of Korea
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    • v.35 no.4
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    • pp.310-318
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    • 2016
  • This study deals with a method to localize a noise source occuring in a marine vehicle in a 3D environment. Even when access to the noise source is limited for a marine vehicle, such as a ship or a submarine in operation, the signal received on a hydrophone located elsewhere contains Doppler effected noise by moving relatively. This study suggests noise localization algorithm in 3D based on Doppler effect by moving marine vehicle. Using a known source mounted on the vehicle, the noise source was estimated by reducing the range of Doppler center and closest point of approach via the least square method. The algorithm was verified through various simulations and it was shown that the noise could be localized in 3D based on Doppler effect by employing two fixed hydrophones located at the vehicle's exterior points and a known reference signal generator located somewhere on the vehicle.

Minimum Travel Time Paths for ATIS in Urban Road Networks Using Genetic Algorithms (유전자 알고리즘을 이용한 도시도로망에서의 첨단 여행자 정보시스템(ATIS) 운영계획)

  • 장인성;문형수
    • Journal of Korean Society of Transportation
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    • v.19 no.4
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    • pp.85-96
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    • 2001
  • This paper discusses the problem of finding the Origin-Destination(O-D) shortest path in urban road networks that have variable special qualifies such as time windows for passing as well as geometrical special qualities such as U-turn and left-turn prohibition. The focus of this paper is motivated by the problem of finding minimum travel time paths for an advanced traveler information system (ATIS) in the context of intelligent transportation system(ITS) application. The transportation network with variable and geometrical special qualities is a more realistic representation of the urban road network in the real word. But, the traditional and existing shortest path algorithms can not search practical shortest path that variable special quality is reflected. This paper presents a shortest path algorithm which can search reasonable shortest path information for the urban ATIS application within a real time. The algorithm is based on genetic algorithm(GA). The high performance of the proposed algorithm is demonstrated by computer simulations.

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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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A study on the pedestrian accessibility for the general hospital buildings (종합병원건물의 보행공간 접근성에 관한 연구)

  • 서경부
    • Proceedings of the KOR-KST Conference
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    • 1998.10a
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    • pp.42-51
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    • 1998
  • 안전한고 쾌적한 보행환경을 조성하여 보행 교통을 활성화시킨다면, 자동차의 사용이 줄게 되고 자동차의 유해한 배출가스로 인한 공기 오염 및 소음 등을 낮출 수 있을 뿐만 아니라 도심부의 미관 증대, 역사적 구역의 보존, 물리적인 도시 이미지 향상 등의 효과로 도심기능의 활성화에 기여할 수 있을 것이다. 이와 같은 보행통행의 중요성을 인식하여 안전하고 효율성 있는 보행동선을 조성할 필요가 있다. 그러나 상당수의 종합병원과 같은 공공성을 띤 건물들은 대부분의 보행자가 보행동선을 이용하여 건물에 접근하는데도 불구하고 차량을 중심으로 동선이 운영되고 있는 실정이다. 차량위주의 동선 체계는 보행 통행자로 하여금 차량통행으로의 전환을 유도할 가능성이 있어 이에 대한 대책이 필요하다. 본 연구는 분석대상으로 차량과 보행자에게 동등하게 접근의 용이성을 제공해야 하는 광주시의 4대 종합병원을 대상으로 보행자 집단에게 가해지는 저항이 구체적으로 얼마나 심각하며, 그 원인은 어떠한 물리적 조건에 의하여 발생하는지 알아 보았다. 보행저항을 파악하기 위한 지표로는 차량과 보행자의 충돌점의 수, 최단거리 선호도, 보행로 미확보율 등을 설정하여 분석하였다. 이러한 분석의 결과 나타난 문제점들을 해결하기 위한 방안도 함께 모색하였다.

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Control Gain Optimization for Mobile Robots Using Neural Networks and Genetic Algorithms (신경회로망과 유전알고리즘에 기초한 이동로봇의 제어 이득 최적화)

  • Choi, Young-kiu;Park, Jin-hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.4
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    • pp.698-706
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    • 2016
  • In order to move mobile robots to desired locations in a minimum time, optimal control problems have to be solved; however, their analytic solutions are almost impossible to obtain due to robot nonlinear equations. This paper presents a method to get optimal control gains of mobile robots using genetic algorithms. Since the optimal control gains of mobile robots depend on the initial conditions, the initial condition range is discretized to form some grid points, and genetic algorithms are applied to provide the optimal control gains for the corresponding grid points. The optimal control gains for general initial conditions may be obtained by use of neural networks. So the optimal control gains and the corresponding grid points are used to train neural networks. The trained neural networks can supply pseudo-optimal control gains. Finally simulation studies have been conducted to verify the effectiveness of the method presented in this paper.

Time-distance Accessibility Computation of Seoul Bus System based on the T-card Transaction Big Databases (교통카드 빅데이터 기반의 서울 버스 교통망 시간거리 접근성 산출)

  • Park, Jong Soo;Lee, Keumsook
    • Journal of the Economic Geographical Society of Korea
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    • v.18 no.4
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    • pp.539-555
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    • 2015
  • This study proposes the methodology for measuring the time-distance accessibility on the Seoul bus system based on the T-card transaction databases and analyzes the results. T-card transaction databases contain the time/space information of each passenger's locations and times of the departure, transfers, and destination. We introduce the bus network graph and develop the algorithms for time-distance accessibility measurement. We account the average speed based on each passenger's get-in and getoff information in the T-card data as well as the average transfer time from the trip chain transactions. Employing the modified Floyd APSP algorithm, the shortest time distance between each pair of bus stops has been accounted. The graph-theoretic nodal accessibility has been given by the sum of the inverse time distance to all other nodes on the network. The results and spatial patterns are analyzed. This study is the first attempt to measure the time-distance accessibility for such a large transport network as the Seoul bus system consists of 34,934 bus stops on the 600 bus routes, and each bus route can have different properties in terms of speed limit, number of lanes, and traffic signal systems, and thus has great significance in the accessibility measurement studies.

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A Study on Optimal Path Searching using Fuzzy and GAs (퍼지와 유전 알고리즘을 이용한 최적경로 탐색 연구)

  • An, Dae-Hun;Choe, U-Gyeong;Seo, Jae-Yong;Kim, Seong-Hyeon;Jeon, Hong-Tae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.04a
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    • pp.161-164
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    • 2007
  • 우리는 알지 못하는 장소를 찾기 위해 네비게이션을 이용한다. 아직은 단순히 최단거리를 알려주는 네비게이션이 주를 이루고 있다. 하지만 그 길이 최적의 경로가 되는 것은 아니다. 이 논문에서는 이러한 점을 보완하기 위한 새로운 방법을 제시하고 있다. RFID 리더기와 카드를 이용하여 이용자의 출입을 체크함으로써 실시간으로 변하는 각 장소의 인원현황을 알 수 있다. 그리고 거리, 혼잡도, 선호도 등의 몇 가지 정보들을 토대로 퍼지와 유전자 알고리즘을 기반으로 하는 TSP를 이용하여 각각의 이용자 성향에 맞는 최적의 경로를 알 수 있다. 접근성을 높이기 위해 최적의 경로를 보여주는 디스플레이를 장착한 로봇을 이용한다. 다양한 컨텐츠를 포함시키면 더욱 발전한 안내 시스템으로서의 구현이 가능하다.

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Energy Optimized Transmission Strategy in CDMA Reverse Link: Graph Theoretic Approach (역방향 CDMA 시스템에서 에너지 최적화된 전송기법: 그래프 이론적 접근)

  • Oh, Changyoon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.6
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    • pp.3-9
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    • 2015
  • We investigate rate scheduling and power allocation problem for a delay constrained CDMA systems. Specifically, we determine an energy efficient scheduling policy, while each user maintains the short term (n time slots) average throughput. We consider a multirate CDMA system where multirate is achieved by multiple codes. Each code can be interpreted as a virtual user. The aim is to schedule the virtual users into each time slot, such that the sum of transmit energy in n time slots is minimized. We then show that the total energy minimization problem can be solved by a shortest path algorithm. We compare the performance of the optimum scheduling with that of TDMA-type scheduling.