• Title/Summary/Keyword: Moving Rules

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Continuous Moving Pattern Mining Approach in LBS Platform

  • LEE, J.W.;Heo, T.W.;Kim, K.S.;Lee, J.H.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.597-599
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    • 2003
  • Moving pattern is as a kind of sequential pattern, which can be extracted from the large volume of location history data. This sort of knowledge is very useful in supporting intelligence to the LBS or GIS. In this paper, we proposed the continuous moving pattern mining approach in LBS platform and LBS Miner. The location updates of moving objects affect the set of the rules maintained. In our approach, we use the validity thresholds that indicate the next time to invoke the incremental pattern mining. The mining system will play a major role in supporting the various LBS solutions.

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A Study on Phase Velocity Correction of Motorized Wheelchair Based on Fuzzy Control (퍼지제어에 의한 전동 휠 체어의 경로속도 보정에 관한 연구)

  • Lee, C.H.;Lee, D.H.;Yang, S.J.;Hong, S.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.11
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    • pp.71-76
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    • 1992
  • In this study, Fuzzy control algorithm to generate a change of rocomotion cordition according to an outer environment is introduced on a motorized wheelchair control. An optimal control rules for conquesting the less of safety and system inefficiency in the past are given to this motorized wheelchair. And dynamic analysis is also adopted to it. Using those rules, a proportional control was possible when the vehicle changed its moving direction. The proposed method which considers the relationship between a moving velocity and the command from the joystick shows better performance in the change of moving direction.

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Co-Evolution of Fuzzy Rules and Membership Functions

  • Jun, Hyo-Byung;Joung, Chi-Sun;Sim, Kwee-Bo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.601-606
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    • 1998
  • In this paper, we propose a new design method of an optimal fuzzy logic controller using co-evolutionary concept. In general, it is very difficult to find optimal fuzzy rules by experience when the input and/or output variables are going to increase. Futhermore proper fuzzy partitioning is not deterministic ad there is no unique solution. So we propose a co-evolutionary method finding optimal fuzzy rules and proper fuzzy membership functions at the same time. Predator-Prey co-evolution and symbiotic co-evolution algorithms, typical approaching methods to co-evolution, are reviewed, and dynamic fitness landscape associated with co-evolution is explained. Our algorithm is that after constructing two population groups made up of rule base and membership function, by co-evolving these two populations, we find optimal fuzzy logic controller. By applying the propose method to a path planning problem of autonomous mobile robots when moving objects applying the proposed method to a pa h planning problem of autonomous mobile robots when moving objects exist, we show the validity of the proposed method.

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A Fuzzy Logic System for Detection and Recognition of Human in the Automatic Surveillance System (유전자 알고리즘과 퍼지규칙을 기반으로한 지능형 자동감시 시스템의 개발)

  • 장석윤;박민식;이영주;박민용
    • Proceedings of the IEEK Conference
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    • 2001.06c
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    • pp.237-240
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    • 2001
  • An image processing and decision making method for the Automatic Surveillance System is proposed. The aim of our Automatic Surveillance System is to detect a moving object and make a decision on whether it is human or not. Various object features such as the ratio of the width and the length of the moving object, the distance dispersion between the principal axis and the object contour, the eigenvectors, the symmetric axes, and the areas if the segmented region are used in this paper. These features are not the unique and decisive characteristics for representing human Also, due to the outdoor image property, the object feature information is unavoidably vague and inaccurate. In order to make an efficient decision from the information, we use a fuzzy rules base system ai an approximate reasoning method. The fuzzy rules, combining various object features, are able to describe the conditions for making an intelligent decision. The fuzzy rule base system is initially constructed by heuristic approach and then, trained and tasted with input/output data Experimental result are shown, demonstrating the validity of our system.

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A Simulation Study of Stochastic Combat Networks (확률과정을 따르는 전투 네트워크 시뮬레이션 연구)

  • Min, Hyun-Joon;Hong, Yoon-Gee
    • Journal of the Korea Society for Simulation
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    • v.19 no.1
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    • pp.113-123
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    • 2010
  • The interest in combat network systems rises among specialists as the military technology advances. This study considers some new elements such as characteristics of weapon systems, force moving rules at the end of each small battle, etc. to improve the accuracy of the analysis of series of mini battle problems. There is a significant difference in MOEs among the scenarios and the models. This study suggests some further works in weapon allocation, moving speed, tactics, weather, and topography which need to be investigated.

Harmonization of Rules of Origin: An Agenda for Plurilateral Cooperation?

  • Hoekman, Bernard;Inama, Stefano
    • East Asian Economic Review
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    • v.22 no.1
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    • pp.3-28
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    • 2018
  • This article discusses the deadlock in the WTO on multilateral harmonization of nonpreferential rules of origin (RoO) and reviews some of the RoO included in recent preferential trade agreements. We argue that there is a trend towards adoption of similar approaches and that this suggests that cooperation to reduce the trade-impeding effects of differences in RoO across jurisdictions is more feasible than often is assumed by observers and policymakers. From a trade facilitation perspective such cooperation could be based on plurilateral initiatives under the umbrella of the WTO. These could include a focus on pursuit of greater convergence between preferential and nonpreferential RoO helping to achieve the long-standing goal of moving towards harmonization of rules of origin.

Design and Implementation of A Diet Menu System on the WAP Environment (WAP 환경에서의 다이어트 식단 시스템의 설계 및 구현)

  • 윤수미;김미영;김상철
    • Proceedings of the IEEK Conference
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    • 2001.06c
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    • pp.229-232
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    • 2001
  • Wireless Internet based in WAP(Wireless Application Protocol) has been a very useful and attractive means picking up information through service irrelavant to time and space. And more the request of user has been diverse. In this paper, we implemented a Diet Menu System using expert knowledge-based rules on the WAP environment. This enables the moving man interested in diet to get information through wireless mobil hand phone. There are only connection-oriented system for this type of service till now. This paper has designed basic expert knowledge rules for result display, verified and implemented for WAP environment.

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Positioning Recognition and Speed Control of Moving Robot at Indoor (실내 이동 로봇의 위치 인식 및 속도 제어에 관한 연구)

  • Shin, Wee-Jae;Jeong, Rae-Won
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.1
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    • pp.88-91
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    • 2010
  • In this paper, We are composed the position recognition and speed control using the moving robot in the shield Room with a RF Module and Ultrasonic Sensors. Double look up tables are selected a reference value/duty ratio. The moving robot with the dual fuzzy rules which can decrease a Conversion time than basic fuzzy control rules at start point and curve region. Also, a changing times of double look up table are rise at specific points b1,c1,d1 in the e-${\Delta}e$ phase plane and the one of the look up table is used which for increase rising time at transition area, the other used for rapidly conversion to the reference value. We verified that a dual fuzzy control rules get the good response compare with the basic fuzzy control rule.

Tracking Moving Objects Using an Active Contour Model Based on a Frame Difference Map (차 영상 맵 기반의 능동 윤곽선 모델을 이용한 이동 물체 추적)

  • 이부환;전기준
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.153-156
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    • 2003
  • This paper proposes a video tracking method for a deformable moving object using an active contour model. In order to decide the convergent directions of the contour points automatically, a new energy function based on a frame difference map and an updating rules of the frame difference map are presented. Experimental results on a set of synthetic and real image sequences showed that the proposed method can fully track a speedy deformable object while extracting the boundary of the object exactly in every frame.

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Moving Obstacles Collision Avoidance of a Mobile Robot using an Intelligent Network (지능형 네트워크를 이용한 이동 로봇의 이동장애물 회피 응용)

  • 박윤명;하달영;최부귀
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.2
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    • pp.64-70
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    • 2002
  • This paper proposes a new construction method of neural networks. The construction method consists of two fundmental ideas, which are a parallel selection-style evaluation and rules evolution. A new collision avoidance algorithm using genetic and neural network is proposed to avoid moving obstacles such as mobile robots. The input parameters of this algorithm is position of moving obstacles and target. Output is a regenerated direction of mobile robot. This algorithm is very simple and so, it is available to application of real time process. The pattern of collision avoidance is learned through test execution.

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