• 제목/요약/키워드: Ratio algorithm

검색결과 3,109건 처리시간 0.038초

Loss-RTT 기반 차등 전송률 조절 알고리즘에 관한 연구 (Loss-RTT based Differentiated Rate Adaptation Algorithm)

  • 김지언;정재일
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 추계종합학술대회 논문집(1)
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    • pp.17-20
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    • 2000
  • TCP is ill-suited to real-time multimedia applications. Its bursty transmission, and abrupt and frequent wide rate fluctuations cause high delay jitters and sudden quality degradation of multimedia applications. Deploying non congestion controlled traffic results in extreme unfairness towards competing TCP traffic. Therefore, they need to be enhanced with congestion control schemes that not only am at reducing loss ratios and improve bandwidth utilization but also are fair towards competing TCP connections. This paper proposes a differentiated rate adaptation algorithm based on loss and round trip time. Rate in a sender quickly responds to loss ratio and holds steady state. Additionally, this algorithm reduces loss ratio by loss prediction in a receiver.

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판재성형을 위한 블랭크 최적 배치 알고리즘 개발 (Development of Blank Optimal Nesting Algorithm for Sheet Forming)

  • 오진용;오수익;김상주;임지열;이종문
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2001년도 춘계학술대회 논문집
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    • pp.32-35
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    • 2001
  • In sheet metal forming process, it is very important to nest blanks optimally to get a maximum utilization ratio(UR) to reduce waste of material. Optimal Blank Nesting algorithm is developed about single nesting, double nesting, fixed slitting width and free slitting width. This algorithm was applied to various practical blanks which are under production. Then new optimal nesting configuration was obtained and higher UR was achieved by this program in each cases.

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A Study on the PAPR Reduction by Hybrid Algorithm Based on the PTS and GS Technique

  • 조자빈;김영환;김재명
    • 한국통신학회논문지
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    • 제31권2A호
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    • pp.187-193
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    • 2006
  • Multicarrier systems has major shortcomings due to the large numbers of subcarrier. One of the shortcomings is the high peak-to-average power ratio(PAPR), which causes nonlinearity distortion in the transmitter, and degrades the performance of the system significantly. Partial transmit sequence(PTS) is one of the best approaches that can significantly improve the statistics of the PAPR of an orthogonal frequency division multiplexing(OFDM) signal. Guided scrambling(GS) is an extension of self-synchronizing scrambling. It is also capable of guiding the scrambling process to produce a balanced encoded bit stream. In this paper, we propose a sub-optimal algorithm to optimize the phase factor in PTS. In addition, we integrate GS coding with this method. The proposed Hybrid algorithm can get much more PAPR reduction at the expense of incur a few error extension and do not require transmission of side information.

광촉각 센서와 힘/역학센서의 퍼지융합을 통한 접촉면의 인식 (Recognition of contact surfaces using optical tactile and F/T sensors integrated by fuzzy fusion algorithm)

  • 고동환;한헌수
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.628-631
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    • 1996
  • This paper proposes a surface recognition algorithm which determines the types of contact surfaces by fusing the information collected by the multisensor system, consisted of the optical tactile and force/torque sensors. Since the image shape measured by the optical tactile sensor system, which is used for determining the surface type, varies depending on the forces provided at the measuring moment, the force information measured by the f/t sensor takes an important role. In this paper, an image contour is represented by the long and short axes and they are fuzzified individually by the membership function formulated by observing the variation of the lengths of the long and short axes depending on the provided force. The fuzzified values of the long and short axes are fused using the average Minkowski's distance. Compared to the case where only the contour information is used, the proposed algorithm has shown about 14% of enhancement in the recognition ratio. Especially, when imposing the optimal force determined by the experiments, the recognition ratio has been measured over 91%.

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A self-localization algorithm for a mobile robot using perspective invariant

  • Roh, Kyoung-Sig;Lee, Wang-Heon;Kweon, In-So
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.920-923
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    • 1996
  • This paper presents a new algorithm for the self-localization of a mobile robot using perspective invariant(Cross Ratio). Most of conventional model-based self-localization methods have some problems that data structure building, map updating and matching processes are very complex. Use of the simple cross ratio can be effective to the above problems. The algorithm is based on two basic assumptions that the ground plane is flat and two parallel walls are available. Also it is assumed that an environmental map is available for matching between the scene and the model. To extract an accurate steering angle for a mobile robot, we take advantage of geometric features such as vanishing points(V.P). Point features for computing cross ratios are extracted robustly using a vanishing point and the intersection points between floor and the vertical lines of door frames. The robustness and feasibility of our algorithms have been demonstrated through experiments in indoor environments using an indoor mobile robot, KASIRI-II(KAist SImple Roving Intelligence).

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다변수 모노펄스 추적 시스템에서 유전 알고리즘 기반 선형구간 확장 (Genetic Algorithm Based Linear Region Extension for Multivariable Monopulse Tracking Systems)

  • 정진우;김재신;류영재
    • 한국군사과학기술학회지
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    • 제20권2호
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    • pp.272-278
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    • 2017
  • In this paper, we consider a single-channel amplitude comparison monopulse system(SCACMS). The monopulse ratio curve(MR-C) of the SCACMS can be controlled by an amplitude difference between sum and different signal, a phase difference and the coefficient of the signal processor. We first propose the SCACMS with multiple variables, and then apply a genetic algorithm to optimize the multiple variables in terms of minimizing a root mean square error. The simulation results show that when three variables of the SCACMS are jointly optimized, the linear region of the MR-C can be extended approximately 187 % compared to that of two variables.

A Study on the Camera Calibration Algorithm using Perspective Ratio of Difference Line Widths

  • Jeong, Jun-Ik;Song, Suck-Woo;Lee, Ho-Soon;Rho, Do-Hwan
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.63.1-63
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    • 2001
  • At 3-D vision measuring, the camera calibration is necessary to calculate parameters accurately. Camera calibration was developed widely in two categories. One is that establishes reference points in space, and the other is that uses the grid type frame and statistical method. But, the former has difficult to setup reference points and the latter has low accuracy. In this paper we present an algorithm for camera calibration using perspective ratio of the grid type frame with different line widths. The advantage of this algorithm is that it can estimate position, pose and distance between camera and object ...

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디지털 PN 초기 동기장치의 성능 (Performance of a digital PN Sequence Acquisition System)

  • 김윤관;은종관;류승문
    • 대한전자공학회논문지
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    • 제21권6호
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    • pp.105-114
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    • 1984
  • 본 논문에서는 direct sequence(DS) 방식을 이용한 spread spectrum system에 사용할 수 있는 빠른 초기 동기 방법을 제안하였다. 수식적인 모델을 세우고 해석을 한 후 computer simulation을 거쳐 제안된 system의 성능을 분석하여 sliding correlator에 비해 우수함을 입증하였다. 입력 신호의 signal-to-noise ratio(SNR)가 -18dB에서 초기 동기 시간이 45ms 소요되었다. 이 방법의 hardsware 구현과 실험 결과도 설명하였다.

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적응 MFCC와 Neural Network 기반의 음성인식법 (Voice Recognition Based on Adaptive MFCC and Neural Network)

  • 배현수;이석규
    • 대한임베디드공학회논문지
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    • 제5권2호
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    • pp.57-66
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    • 2010
  • In this paper, we propose an enhanced voice recognition algorithm using adaptive MFCC(Mel Frequency Cepstral Coefficients) and neural network. Though it is very important to extract voice data from the raw data to enhance the voice recognition ratio, conventional algorithms are subject to deteriorating voice data when they eliminate noise within special frequency band. Differently from the conventional MFCC, the proposed algorithm imposed bigger weights to some specified frequency regions and unoverlapped filterbank to enhance the recognition ratio without deteriorating voice data. In simulation results, the proposed algorithm shows better performance comparing with MFCC since it is robust to variation of the environment.

Adaptive Shot Change Detection using Mean of Feature Value on Variable Reference Blocks and Implementation on PMP

  • Kim, Jong-Nam;Kim, Won-Hee
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.229-232
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    • 2009
  • Shot change detection is an important technique for effective management of video data, so detection scheme requires adaptive detection techniques to be used actually in various video. In this paper, we propose an adaptive shot change detection algorithm using the mean of feature value on variable reference blocks. Our algorithm determines shot change detection by defining adaptive threshold values with the feature value extracted from video frames and comparing the feature value and the threshold value. We obtained better detection ratio than the conventional methods maximally by 15% in the experiment with the same test sequence. We also had good detection ratio for other several methods of feature extraction and could see real-time operation of shot change detection in the hardware platform with low performance was possible by implementing it in TVUS model of HOMECAST Company. Thus, our algorithm in the paper can be useful in PMP or other portable players.

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