• 제목/요약/키워드: Adaptive location scheme

검색결과 53건 처리시간 0.023초

Algorithm for Detecting, Indentifying, Locating and Experience to Develop the Automate Faults Location in Radial Distribution System

  • Wattanasakpubal, Choowong;Bunyagul, Teratum
    • Journal of Electrical Engineering and Technology
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    • 제5권1호
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    • pp.36-44
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    • 2010
  • This paper presents the design of an algorithm to detect, identify, and locate faults in radial distribution feeders of Provincial Electricity Authority (PEA). The algorithm consists of three major steps. First, the adaptive algorithm is applied to track/estimate the system electrical parameter, i.e. current phasor, voltage phasor, and impedance. Next process, the impedance rule base is used to detect and identify the type of fault. Finally, the current compensation technique and a geographic information system (GIS) are applied to evaluate a possible fault location. The paper also shows the results from field tests of the automate fault location and illustrates the effectiveness of the proposed fault location scheme.

An Adaptive Occluded Region Detection and Interpolation for Robust Frame Rate Up-Conversion

  • Kim, Jin-Soo;Kim, Jae-Gon
    • Journal of information and communication convergence engineering
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    • 제9권2호
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    • pp.201-206
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    • 2011
  • FRUC (Frame Rate Up-Conversion) technique needs an effective frame interpolation algorithm using motion information between adjacent neighboring frames. In order to have good visual qualities in the interpolated frames, it is necessary to develop an effective detection and interpolation algorithms for occluded regions. For this aim, this paper proposes an effective occluded region detection algorithm through the adaptive forward and backward motion searches and also by introducing the minimum value of normalized cross-correlation coefficient (NCCC). That is, the proposed scheme looks for the location with the minimum sum of absolute differences (SAD) and this value is compared to that of the location with the maximum value of NCCC based on the statistics of those relations. And, these results are compared with the size of motion vector and then the proposed algorithm decides whether the given block is the occluded region or not. Furthermore, once the occluded regions are classified, then this paper proposes an adaptive interpolation algorithm for occluded regions, which still exist in the merged frame, by using the neighboring pixel information and the available data in the occluded block. Computer simulations show that the proposed algorithm can effectively classify the occluded region, compared to the conventional SAD-based method and the performance of the proposed interpolation algorithm has better PSNR than the conventional algorithms.

A Study on the Gustafson-Kessel Clustering Algorithm in Power System Fault Identification

  • Abdullah, Amalina;Banmongkol, Channarong;Hoonchareon, Naebboon;Hidaka, Kunihiko
    • Journal of Electrical Engineering and Technology
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    • 제12권5호
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    • pp.1798-1804
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    • 2017
  • This paper presents an approach of the Gustafson-Kessel (GK) clustering algorithm's performance in fault identification on power transmission lines. The clustering algorithm is incorporated in a scheme that uses hybrid intelligent technique to combine artificial neural network and a fuzzy inference system, known as adaptive neuro-fuzzy inference system (ANFIS). The scheme is used to identify the type of fault that occurs on a power transmission line, either single line to ground, double line, double line to ground or three phase. The scheme is also capable an analyzing the fault location without information on line parameters. The range of error estimation is within 0.10 to 0.85 relative to five values of fault resistances. This paper also presents the performance of the GK clustering algorithm compared to fuzzy clustering means (FCM), which is particularly implemented in structuring a data. Results show that the GK algorithm may be implemented in fault identification on power system transmission and performs better than FCM.

Biological Image Edge Extraction Based on Adaptive Beamlet Transform

  • Nguyen, Van Hau;Woo, Kyung-Haeng;Choi, Won-Ho
    • 융합신호처리학회논문지
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    • 제12권2호
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    • pp.83-90
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    • 2011
  • In cell biology area, microscopy enables detecting objects inside cells that are stained or fluorescently tagged. It is disadvantageous for observing these objects because of the noisy characteristics of their environmental surrounding. In this paper, a framework is proposed to increase the throughput and reliability for analysis of these images. First, we apply adaptive beamlet transform to extract edges meaningfully followed by orientation, location, and length in different scales. Then, a post-process is implemented to extend and map them onto original image. Our proposed scheme is compared with Canny edge detector and conventional beamlet transform from four evaluation aspects. It produces better results when experiments are conducted on real images. Much better results for observing internal parts make this framework competitive for analysis of cell images.

적응형 스케일조절 신경망을 이용한 객체 위치 추적 (Object Tracking Using Adaptive Scale Factor Neural Network)

  • 박선배;유도식
    • 한국항행학회논문지
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    • 제26권6호
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    • pp.522-527
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    • 2022
  • 객체추적은 이전시간에서 추정한 위치와 현재 관측 데이터를 바탕으로 객체의 위치를 연속적으로 추적하는 신호처리 분야이다. 이 논문에서는 3개의 RNN을 서브모듈로 가지는 적응형 스케일조절 신경망을 이용해 입력 데이터의 스케일을 스스로 조절하여 추적할 수 있는 신경망을 제안한다. 객체 추적 성능을 평가하기 위해 객체가 조각별 등가속운동을 하는 1차원 객체 운동 모델에서 제안하는 시스템, 칼만 필터와 최대우도기법의 추적 성능을 비교한다. 그 결과 제안하는 알고리듬의 성능이 평균제곱근오차 기준으로 최대우도기법과 칼만필터보다 다양한 상황에서 전반적으로 우수하며 관측잡음이 커질수록 성능격차가 더 커지는 것을 보인다.

4G 이동 망에서 적응적 핸드오버 시간을 활용한 효과적인 핫스팟 셀 관리 기법 (An Effective Hotspot Cell Management Scheme Using Adaptive Handover Time in 4G Mobile Networks)

  • 김동욱;이한진;전승우;므리나;윤현수
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2006년도 한국컴퓨터종합학술대회 논문집 Vol.33 No.1 (D)
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    • pp.217-219
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    • 2006
  • 4G mobile networks are expected to support various multimedia services over IP networks and also satisfy high spectral efficiency requirement. In cellular systems including 4G networks, hotspot cells can occur when available wireless resources at some location are not enough to sustain the needs of users. The hotspot cell can potentially lead to blocked and dropped calls, which can deteriorate the service quality for users. In a 4G mobile network, a band of users enjoying multimedia services can move around, which may generate heavy flows of traffic load. This situation can generate the hotspot cell which has a short life span of only a few minutes. In this paper, we propose a handover-based scheme which can effectively manage hotspot cells in 4G mobile networks. With the scheme, the current serving cell can recognize the load status of the target cell in advance before handover execution. Adaptive handover time control according to the amount of traffic load of cells can effectively and flexibly manage the hotspot cell in the network. And, through our hotspot cell management scheme, acceptable service quality can be supported as users continuously maintain connections with the network. In the simulation results, we find that our scheme generates smaller number of hotspot cells and supports higher service quality than the compared schemes.

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수직적으로 겹쳐진 OFDMA 무선 시스템에서의 적응적 Hot-spot 운용 기법 (An Adaptive Hot-spot Operating Scheme in Vertically Overlaid OFDMA Wireless Systems)

  • 최혜선;정희정;김낙명
    • 한국통신학회논문지
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    • 제30권7A호
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    • pp.620-627
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    • 2005
  • OFDMA 하향링크 시스템에서 단말의 불균등한 위치 분포와 다양한 QoS 요구사항의 변화에 따라 시스템에 끼치는 부정적인 영향을 줄이기 위한 적응적 hot-spot 운용 기법에 대해 제안하였다. 매크로셀의 기지국은 셀 내 피고셀의 운용을 조절하며, 예측된 user outage probability와 AHOS 이득 파라미터 값에 의해 피코셀을 켜고 끄게된다. 제안된 AHOS 기법은 다양한 시스템 환경에서 QoS outage probability를 유지하면서 시스템의 throughput을 최대화 시키는 이득을 보였다.

An Adaptive Hot-Spot Operating Scheme for OFDMA Downlink Systems in Vertically Overlaid Cellular Architecture

  • Kim, Nak-Myeong;Choi, Hye-Sun;Chung, Hee-Jeong
    • ETRI Journal
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    • 제28권3호
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    • pp.282-290
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    • 2006
  • In vertically overlaid cellular systems, a temporary traffic concentration can occur in a hot-spot area, and this adversely affects overall system capacity. In this paper, we develop an adaptive hot-spot operating scheme (AHOS) to mitigate the negative effects from the nonuniform distribution of user location and the variation in the mixture of QoS requirements in orthogonal frequency division multiple access downlink systems. Here, the base station in a macrocell can control the operation of picocells within the cell, and turns them on or off according to the system overload estimation function. In order to determine whether the set of picocells is turned on or off, we define an AHOS gain index that describes the number of subcarriers saved to the macrocell by turning a specific picocell on. For initiating the picocell OFF procedure, we utilize the changes in traffic concentration and co-channel interference to the neighboring cells. According to computer simulation, the AHOS has been proved to have maximize system throughput while maintaining a very low QoS outage probability under various system scenarios in both a single-cell and multi-cell environments.

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An adaptive watermarking for remote sensing images based on maximum entropy and discrete wavelet transformation

  • Yang Hua;Xu Xi;Chengyi Qu;Jinglong Du;Maofeng Weng;Bao Ye
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권1호
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    • pp.192-210
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    • 2024
  • Most frequency-domain remote sensing image watermarking algorithms embed watermarks at random locations, which have negative impact on the watermark invisibility. In this study, we propose an adaptive watermarking scheme for remote sensing images that considers the information complexity to select where to embed watermarks to improve watermark invisibility without affecting algorithm robustness. The scheme converts remote sensing images from RGB to YCbCr color space, performs two-level DWT on luminance Y, and selects the high frequency coefficient of the low frequency component (HHY2) as the watermark embedding domain. To achieve adaptive embedding, HHY2 is divided into several 8*8 blocks, the entropy of each sub-block is calculated, and the block with the maximum entropy is chosen as the watermark embedding location. During embedding phase, the watermark image is also decomposed by two-level DWT, and the resulting high frequency coefficient (HHW2) is then embedded into the block with maximum entropy using α- blending. The experimental results show that the watermarked remote sensing images have high fidelity, indicating good invisibility. Under varying degrees of geometric, cropping, filtering, and noise attacks, the proposed watermarking can always extract high identifiable watermark images. Moreover, it is extremely stable and impervious to attack intensity interference.

비젼시스템을 이용한 이동로봇의 서보제어 (Servo control of mobile robot using vision system)

  • 백승민;국태용
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.540-543
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    • 1997
  • In this paper, a precise trajectory tracking method for mobile robot using a vision system is presented. In solving the problem of precise trajectory tracking, a hierarchical control structure is used which is composed of the path planer, vision system, and dynamic controller. When designing the dynamic controller, non-ideal conditions such as parameter variation, frictional force, and external disturbance are considered. The proposed controller can learn bounded control input for repetitive or periodic dynamics compensation which provides robust and adaptive learning capability. Moreover, the usage of vision system makes mobile robot compensate the cumulative location error which exists when relative sensor like encoder is used to locate the position of mobile robot. The effectiveness of the proposed control scheme is shown through computer simulation.

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