• Title/Summary/Keyword: On-line algorithm

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Stop-Line and Crosswalk Detection Based on Blob-Coloring (블럽칼라링 기반의 횡단보도와 정지선 검출)

  • Lee, Joon-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.8
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    • pp.799-806
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    • 2011
  • This paper proposes an algorithm to detect the stop line and crosswalk on the road surface using edge information and blob coloring. The detection has been considered as an important area of autonomous vehicle technologies. The proposed algorithm is composed of three phases: 1) hypothesis generation of stop lines, 2) hypothesis generation of crosswalks, and 3) hypothesis verification of stop lines. The last two phases are not performed if the first phase does not provide a hypothesis of a stop line. The last one is carried out by the combination of both hypotheses of stop lines and crosswalks, and determines the stop lines among stop line hypotheses. The proposed algorithm is proven to be effective through experiments with various images captured on the roads.

A Simple Multispectral Imaging Algorithm for Detection of Defects on Red Delicious Apples

  • Lee, Hoyoung;Yang, Chun-Chieh;Kim, Moon S.;Lim, Jongguk;Cho, Byoung-Kwan;Lefcourt, Alan;Chao, Kuanglin;Everard, Colm D.
    • Journal of Biosystems Engineering
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    • v.39 no.2
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    • pp.142-149
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    • 2014
  • Purpose: A multispectral algorithm for detection and differentiation of defective (defects on apple skin) and normal Red Delicious apples was developed from analysis of a series of hyperspectral line-scan images. Methods: A fast line-scan hyperspectral imaging system mounted on a conventional apple sorting machine was used to capture hyperspectral images of apples moving approximately 4 apples per second on a conveyor belt. The detection algorithm included an apple segmentation method and a threshold function, and was developed using three wavebands at 676 nm, 714 nm and 779 nm. The algorithm was executed on line-by-line image analysis, simulating online real-time line-scan imaging inspection during fruit processing. Results: The rapid multispectral algorithm detected over 95% of defective apples and 91% of normal apples investigated. Conclusions: The multispectral defect detection algorithm can potentially be used in commercial apple processing lines.

A Fault Location Algorithm Using Adaptively Estimated Local Source Impedance for a Double-Circuit Transmission Line System (자기단 전원 임피던스 추정 기법을 사용한 병행 2회선 송전선로 고장점 표정 알고리즘)

  • Park, Gun-Ho;Kang, Sang-Hee;Kim, Sok-Il;Shin, Jonathan H.
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.3
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    • pp.373-379
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    • 2012
  • This paper presents a fault location algorithm based on the adaptively estimated value of the local sequence source impedance for faults on a parallel transmission line. This algorithm uses only the local voltage and current signals of a faulted circuit. The remote current signals and the zero-sequence current of the healthy adjacent circuit are calculated by using the current distribution factors together with the local terminal currents of the faulted circuit. The current distribution factors consist of local equivalent source impedance and the others such as fault distance, line impedance and remote equivalent source impedance. It means that the values of the current distribution factors can change according to the operation condition of a power system. Consequently, the accuracy of the fault location algorithm is affected by the two values of equivalent source impedances, one is local source impedance and the other is remote source impedance. Nevertheless, only the local equivalent impedance can be estimated in this paper. A series of test results using EMTP simulation data show the effectiveness of the proposed algorithm. The proposed algorithm is valid for a double-circuit transmission line system where the equivalent source impedance changes continuously.

A Study on the Performance Improvement of Thinning Algorithm for Handwritten Korean Character (필기체 한글 인식에 유용한 세선화 알고리듬의 성능 개선에 관한 연구)

  • 이기영;구하성;고형화
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.5
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    • pp.883-891
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    • 1994
  • In this paper, we introduce new thinning algorithm which is useful for handwritten Korean character by using pixel directivity. At first, the directivity detection is performed before thinning. Each pixel is classified into the straight line of the oblique line based on its directivity. The algorithm using Rutovitz corossing number is applied to the straight line. And the algorithm using Hilditch crossing number is applied to the oblique line. The proposed algorithm is compared with six convention algorithms. Comparison criteria are similarity, noisy branch, and phoneme segmentation rate. Experiments with 570 characters have been conducted. Experimental result shows that the proposed algorithm is superior to six conventional algorithm with respect to similarity and phoneme segmentation rate.

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Stereo-Vision Based Road Slope Estimation and Free Space Detection on Road (스테레오비전 기반의 도로의 기울기 추정과 자유주행공간 검출)

  • Lee, Ki-Yong;Lee, Joon-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.3
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    • pp.199-205
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    • 2011
  • This paper presents an algorithm capable of detecting free space for the autonomous vehicle navigation. The algorithm consists of two main steps: 1) estimation of longitudinal profile of road, 2) detection of free space. The estimation of longitudinal profile of road is detection of v-line in v-disparity image which is corresponded to road slope, using v-disparity image and hough transform, Dijkstra algorithm. To detect free space, we detect u-line in u-disparity image which is a boundary line between free space and obstacle's region, using u-disparity image and dynamic programming. Free space is decided by detected v-line and u-line. The proposed algorithm is proven to be successful through experiments under various traffic scenarios.

A Genetic Algorithm for Two-sided Assembly Line Balancing (양면 조립라인 밸런싱을 위한 유전알고리듬)

  • Kim, Yeo-Keun;Kim, Yong-Ju;Kim, Jun-Hyuk;Kwak, Jai-Seung
    • IE interfaces
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    • v.12 no.1
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    • pp.132-142
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    • 1999
  • Two-sided (left- and right-sided) assembly lines in practice can provide several advantages over one-sided lines in terms of the required line length, throughput time, cost of tools and fixtures, and so on. This paper considers two-sided assembly line balancing with the objective of minimizing line length. The balancing problem is more complicated than that of one-sided lines due to sequence-dependency of tasks assigned to a pair of directly facing workstations. This paper shows how genetic algorithm can be used to solve two-sided assembly line balancing. For this, an encoding and a decoding method suitable to the problem are presented. Proper genetic operators and an evalutation function are also employed. Extensive computational experiments are carried out to show the efficacy of the proposed algorithm. The results show that the algorithm is viable and promising in solution quality and computation time.

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Genetic Algorithm for Balancing and Sequencing in Mixed-model U-lines (혼합모델 U라인에서 작업할당과 투입순서 결정을 위한 유전알고리즘)

  • 김동묵
    • Journal of the Korea Safety Management & Science
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    • v.6 no.2
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    • pp.115-125
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    • 2004
  • This paper presents a new method that can efficiently solve the integrated problem of line balancing and model sequencing in mixed-model U-lines (MMULs). Balancing and sequencing problems are important for an efficient use of MMULs and are tightly related with each other. However, in almost all the existing researches on mixed-model production lines, the two problems have been considered separately. A genetic algorithm for balancing and sequencing in mixed-model U line is proposed. A presentation method and genetic operators are proposed. Extensive experiments are carried out to analyze the performance of the proposed algorithm. The computational results show that the proposed algorithm is promising in solution quality.

The Security Constrained Economic Dispatch with Line Flow Constraints using the Hybrid PSO Algorithm (Hybrid PSO를 이용한 안전도를 고려한 경제급전)

  • Jang, Se-Hwan;Kim, Jin-Ho;Park, Jong-Bae;Park, June-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.8
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    • pp.1334-1341
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    • 2008
  • This paper introduces an approach of Hybrid Particle Swarm Optimization(HPSO) for a security-constrained economic dispatch(SCED) with line flow constraints. To reduce a early convergence effect of PSO algorithm, we proposed HPSO algorithm considering a mutation characteristic of Genetic Algorithm(GA). In power system, for considering N-1 line contingency, we have chosen critical line contingency through a process of Screening and Selection based on PI(performance Index). To prove the ability of the proposed HPSO in solving nonlinear optimization problems, SCED problems with nonconvex solution spaces are considered and solved with three different approach(Conventional GA, PSO, HPSO). We have applied to IEEE 118 bus system for verifying a usefulness of the proposed algorithm.

Design of an on-line morphological analyzer for a japanese-to-korean translation system (일한 기계번역을 위한 on-line 형태소 해석기 설계)

  • 강석훈;최병욱
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.5
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    • pp.127-137
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    • 1996
  • In this paper, an algorithm for on-line rightward japanese parsing is proposed. The ambiguity in on-line parsing is accumulated until the input is completely finished, since there is not a space between words in the japanese sentence. Thus the algorithm for morphological analysis, based on modified chart, is used in solving it. And the number of searching a word in dirctionary for morphological analysis is also a puzzling problem. The japanese sentence, consist of N characters, has logically its maximum number of N(N+1)/2 searches in the ordinary on-line analysis, which is nearly twice as many as normal off-line. In this paper, the matter is settled through the modification of dictionary format. In experiment, we can accomplish the rate of analysis which is nearly equal to that of off-line parsing. And it becomes clear that the longer a sentence is, the better an analysis efficiency is.

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A Speed-Based Dijkstra Algorithm for the Line Tracer Control of a Robot (로봇 경로 제어를 위한 속도기반 Dijkstra 알고리즘)

  • Cheon, Seong-Kwon;Kim, Geun-Deok;Kim, Chong-Gun
    • Journal of Information Technology Services
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    • v.10 no.4
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    • pp.259-268
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    • 2011
  • A robot education system by emulation based on Web can be efficiently used for understanding concept of robot assembly practice and control mechanism of robot by control programming. It is important to predict the path of the line tracer robot which has to be decided by the robot. Shortest Path Algorithm is a well known algorithm which searches the most efficient path between the start node and the end node. There are two related typical algorithms. Dijkstra Algorithm searches the shortest path tree from a node to the rest of the other nodes. $A^*$ Algorithm searches the shortest paths among all nodes. The delay time caused by turning the direction of navigation for the line tracer robot at the crossroads can give big differences to the travel time of the robot. So we need an efficient path determine algorithm which can solve this problem. Thus, It is necessary to analyze the overhead of changing direction of robot at multi-linked node to determine the next direction for efficient routings. In this paper, we reflect the real delay time of directional changing from the real robot. A speed based Dijkstra algorithm is proposed and compared with the previous ones to analyze the performance.