• Title/Summary/Keyword: Fuzzy region

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An Improved Map Construction for Mobile Robot Using Fuzzy Logic and Genetic Algorithm (퍼지 논리와 진화알고리즘을 이용한 자율이동로봇의 향상된 지도 작성)

  • Jin Kwang-Sik;Ahn Ho-Gyun;Yoon Tae-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.3
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    • pp.330-336
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    • 2005
  • Existing Bayesian update method using ultrasonic sensors only for mobile robot map building has a problem of the quality of map being degraded in the wall with irregularity, which is caused by the wide beam distribution. For improving this problem, an infrared sensors aided map building method is presented in this paper. Information of obstacle at each region in ultrasonic sensor beam is acquired using the infrared sensors and the information is used to get the confidence of ultrasonic sensor information via fuzzy inference system and genetic algorithm. Combining the resulting confidence with the result of Bayesian update method, an improve map is constructed. The proposed method showed good results in the simulations and experiments.

Application of ANFIS Power Control for Downlink CDMA-Based LMDS Systems

  • Lee, Ze-Shin;Tsay, Mu-King;Liao, Chien-Hsing
    • ETRI Journal
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    • v.31 no.2
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    • pp.182-192
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    • 2009
  • Rain attenuation and intercell interference are two crucial factors in the performance of broadband wireless access networks such as local multipoint distribution systems (LMDS) operating at frequencies above 20 GHz. Power control can enhance the performance of downlink CDMA-based LMDS systems by reducing intercell interference under clear sky conditions; however, it may damage system performance under rainy conditions. To ensure robust operation under both clear sky and rainy conditions, we propose a novel power-control scheme which applies an adaptive neuro-fuzzy inference system (ANFIS) for downlink CDMA-based LMDS systems. In the proposed system, the rain rate and the number of users are two inputs of the fuzzy inference system, and output is defined as channel quality, which is applied in the power control scheme to adjust the power control region. Moreover, ITU-R P.530 is employed to estimate the rain attenuation. The influence of the rain rate and the number of users on the distance-based power control (DBPC) scheme is included in the simulation model as the training database. Simulation results indicate that the proposed scheme improves the throughput of the DBPC scheme.

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License Plate Extraction Using Gray Labeling and fuzzy Membership Function (그레이 레이블링 및 퍼지 추론 규칙을 이용한 흰색 자동차 번호판 추출 기법)

  • Kim, Do-Hyeon;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.8
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    • pp.1495-1504
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    • 2008
  • New license plates have been used since 2007. This paper proposes a new license plate extraction method using a gray labeling and a fuzzy reasoning method. First, the proposed method extracts the candidate plates by the gray labeling which is the enhanced version of a non-recursive flood-filling algorithm. By newly designed fuzzy inference system. fitness of each candidate plates are calculated. Finally, the area of the license plate in a image is extracted as a region of the candidate label which has the highest fitness. In the experiments, various license plate images took from indoor/outdoor parking lot, street, etc. by digital camera or cellular phone were used and the proposed extraction method was showed remarkable results of a 94 percent success.

Suitability Analysis of Eco-corridor for Korean Water Deer (Hydropotes Inermis) based on GIS and Fuzzy Function - A Case Study of Chuncheon City - (GIS와 퍼지함수(Fuzzy function)를 활용한 고라니의 생태통로 적지분석 - 춘천시를 대상으로 -)

  • Lee, Do-Hyung;Kil, Sung-Ho;Jeon, Seong-Woo
    • Journal of KIBIM
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    • v.8 no.4
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    • pp.72-79
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    • 2018
  • Rapid developments around the world have resulted in urban expansion, habitat destruction, habitat fragmentation, and pollution problems, which are the main reasons for the decline in biological diversity. The United Nations warns that many animals and plants will die out in the near future if this continues. This study was performed to propose a map of eco-corridor suitability analysis of Korean water deer(Hydropotes Inermis) to enhance biodiversity in Chuncheon city. Eight factors affecting habitat suitability were elevation, aspect, slope, forest type, distance to the road, distance to the stream, land use and green connectivity. Previous study analysis on the mobility behaviour of the Korean water deer(Hydropotes Inermis) produced a habitat suitability map by determining the threshold and assigning a value between 0 and 1 depending on the habitat suitability using the fuzzy function. A method of analysis was proposed for a number of eco-corridor through comparative analysis of the data from the produced habitat suitability map and the road-kill point. The previous studies were focused on Backdudaegan region and national parks except for urban cities. The potential habitat map of Korean water deer could be helpful as a way to prevent habitat disconnection and increase species diversity in urban areas.

Development of Photovoltaic Output Power Prediction System using OR-AND Structured Fuzzy Neural Networks (OR-AND 구조의 퍼지 뉴럴 네트워크를 이용한 태양광 발전 출력 예측 시스템 개발)

  • Kim, Haemaro;Han, Chang-Wook;Lee, Don-Kyu
    • Journal of IKEEE
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    • v.23 no.1
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    • pp.334-337
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    • 2019
  • In response to the increasing demand for energy, research and development of next-generation energy is actively carried out around the world to replace fossil fuels. Among them, the specific gravity of solar power generation systems using infinity and pollution-free solar energy is increasing. However, solar power generation is so different from solar energy that it is difficult to provide stable power and the power production itself depends on the solar energy by region. To solve these problems in this paper, we have collected meteorological data such as actual regional solar irradiance, precipitation, temperature and humidity, and proposed a solar power output prediction system using logic-based fuzzy Neural Network.

A Study on the Feature Region Segmentation for the Analysis of Eye-fundus Images (안저영상 해석을 위한 특징영역의 분할에 관한 연구)

  • 강전권;한영환
    • Journal of Biomedical Engineering Research
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    • v.16 no.2
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    • pp.121-128
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    • 1995
  • Information about retinal blood vessels can be used in grading disease severity or as part of the process of automated diagnosis of diseases with ocular menifestations. In this paper, we address the problem of detecting retinal blood vessels and optic disk (papilla) in eye-fundus images. We introduce an algorithm for feature extraction based on Fuzzy Clustering algorithm (fuzzy c-means). A method of finding the optic disk (papilla) is proposed in the eye-fundus images. Additionally, the inrormations such as position and area of the optic disk are extracted. The results are compared to those obtained from other methods. The automatic detection of retinal blood vessels and optic disk in the eye-rundus images could help physicians in diagnosing ocular diseases.

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Classification of Foreign Trade Ports using Fuzzy Clustering (퍼지 클러스터링에 의한 항만의 분류)

  • 양원재;금종수
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.11a
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    • pp.129-132
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    • 2000
  • Grouping ports in certain region by their characteristics could be used as the principal informations to establish national policy for port development or investment and also to analyze the competitiveness between ports. Currently Korean ports are divided into two groups such as the local port and the designated port containing foreign trade port and coastal port under the Korean port law. These divisions seem to be used for port administration as the matter of convenience but some qualitative grouping is needed for research of port problems. In this paper, 28 major Korean ports were clustered by the similar characteristics using Fuzzy C-Means and found to be classified 8 qualitative groups.

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Survey on Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles (연료전지 하이브리드 자동차의 에너지 운용전략에 관한 기술조사)

  • Lee, Nam-Su;Jeong, Gu-Min;Ahn, Hyun-Sik;Kim, Do-Hyun
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.511-513
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    • 2005
  • The fuel cell system has inherent limitation such as slow response time and low fuel economy especially at the low power region, and thus, the battery system has come to be used to compensate for the fuel cell system. This type of hybrid configuration has many advantages, however, the energy management strategy is essentially required. The work in this paper presents survey on recent power management strategies for fuel cell hybrid electric vehicles. For three power management strategies: basic control method. object function-based control method, and fuzzy logic-based control method. each strategy is reviewed and discussed with other strategy.

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Fuzzy Gain Scheduling Flux Observer for Direct Torque Controlled Induction Motor Drives (직접토크제어 유도전동기 구동장치를 위한 퍼지이득조정 자속관측기)

  • 금원일;류지수;박태건;이기상
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.234-234
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    • 2000
  • A direct torque control(DTC) based sensorless speed control system which employs a new closed loop flux observer is proposed. The flux observer takes an adaptive scheduling gains where motet speed is used as the scheduling variable. Adaptive nature comes from the fact that the estimated values of stator resistance and speed are included as observer parameters. The parameters of the PI controllers adopted in the adaptive law for the estimation of stator resistance and motor speed are determined by simple genetic algorithm. Simulation results in low speed region are given for comparison between proposed and conventional flux estimate scheme.

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Trajectory Study of Self-organizing Fuzzy Control and Its Application to Inverted Pendulum Control (자기구성 퍼지네어의 궤적연구 및 도립진자 제어 적용)

  • 박정일;류재규
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.12
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    • pp.35-44
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    • 1994
  • In this paper, we propose a new modification method of the look-up table in self-organizing fuzzy control using look-up table. This method has the property that look-up table is modified to have fast response property. Its principle is that the controller forces the trajectory to go into the fast respose region which the error change amount is larger than the error at initial time whenever the reference or disturbance change. Also we introduce the variable learning speed coefficient which is proportional to distance from switching curve. And to demonstrate the applicability of the proposed method, we had simulation study for some examples and esecuted pole balance experiments with inverted pendulum.

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