• 제목/요약/키워드: Time-scale Filter

검색결과 154건 처리시간 0.025초

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.

Earthquake time-frequency analysis using a new compatible wavelet function family

  • Moghaddam, Amir Bazrafshan;Bagheripour, Mohammad H.
    • Earthquakes and Structures
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    • 제3권6호
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    • pp.839-852
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    • 2012
  • Earthquake records are often analyzed in various earthquake engineering problems, making time-frequency analysis for such records of primary concern. The best tool for such analysis appears to be based on wavelet functions; selection of which is not an easy task and is commonly carried through trial and error process. Furthermore, often a particular wavelet is adopted for analysis of various earthquakes irrespective of record's prime characteristics, e.g. wave's magnitude. A wavelet constructed based on records' characteristics may yield a more accurate solution and more efficient solution procedure in time-frequency analysis. In this study, a low-pass reconstruction filter is obtained for each earthquake record based on multi-resolution decomposition technique; the filter is then assigned to be the normalized version of the last approximation component with respect to its magnitude. The scaling and wavelet functions are computed using two-scale relations. The calculated wavelets are highly efficient in decomposing the original records as compared to other commonly used wavelets such as Daubechies2 wavelet. The method is further advantageous since it enables one to decompose the original record in such a way that a clear time-frequency resolution is obtained.

토양여과대의 침투능 향상을 통한 비점오염물질 저감 효과에 관한 실험적 연구 (Experimental Study on Reduction Effects of Non-Point Pollutants by Improvement of Infiltration Capacity of Soil Filter Strip)

  • 우수혜;최이송;오종민
    • 생태와환경
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    • 제40권2호
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    • pp.264-272
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    • 2007
  • 본 연구는 한강 상수원 수변지역의 실제 적용에 앞서 Bench scale의 실험을 통해 식생여과대의 단점을 보완하고 보다 효율적인 비점오염물질 저감을 위해 대조군, 모래+자갈, 여재, 자갈의 토양여과대를 조성하여 토양의 침투능력을 향상시키고 효율을 비교하고자 하였다. 실험 결과 토양여과대에서 단면 및 하부로의 침투를 증가시킨 결과 대조군과 비교하였을 때 토양여과대의 평균 표면 유출부하량과 비교하여 $8.2{\sim}40.1%$까지 감소한 것으로 나타나 토양여과대 조성을 통한 표면 유출부하량의 감소 효과가 비교적 양호하게 나타난 것으로 판단된다. 오염물질의 유입부하에 따른 총유출부하량을 통해 각각의 토양여과대에 대한 저감 효과를 비교해 본 결과, 전체적인 제거율은 SS $84.5{\sim}92.5%$, BOD $67.9{\sim}80.6%$, T-N $43.4{\sim}76.6%$), T-P $40.6{\sim}87.4%$, Cu $28.3{\sim}48.1%$, Fe $92.1{\sim}97.7%$, Pb $81.4{\sim}97.3%$인 것으로 조사되었고, 각각의 토양여과대에 대한 오염물질 저감효과를 비교해 본 결과, 여재, 모래+자갈, 자갈의 순으로 저감효과가 뛰어난 것으로 나타났다. 본 연구를 통해 기존의 식생여과대에 비해 토양층을 변화시켜 토양의 침투능을 향상시킨 토양여과대가 비점오염물질 저감에 보다 효과적이며, 하천에 가해지는 오염부하량을 감소시킬 수 있을 것으로 판단되기 때문에 차후 현장 적용 시 보다 실효성 있는 비점오염 저감대책이 될 수 있을 것으로 판단된다.

Real-Time Continuous-Scale Image Interpolation with Directional Smoothing

  • Yoo, Yoonjong;Shin, Jeongho;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • 제3권3호
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    • pp.128-134
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    • 2014
  • A real-time, continuous-scale image interpolation method is proposed based on a bilinear interpolation with directionally adaptive low-pass filtering. The proposed algorithm was optimized for hardware implementation. The ordinary bi-linear interpolation method has blocking artifacts. The proposed algorithm solves this problem using directionally adaptive low-pass filtering. The algorithm can also solve the severe blurring problem by selectively choosing low-pass filter coefficients. Therefore, the proposed interpolation algorithm can realize a high-quality image scaler for a range of imaging systems, such as digital cameras, CCTV and digital flat panel displays.

Effect of Swirling Flow by Normal Injection of Secondary Air on the Gas Residence Time and Mixing Characteristics in a Lab-Scale Cold Model Combustor

  • Shin, D.;Park, S.;Jeon, B.;Yu, T.;Hwang, J.
    • Journal of Mechanical Science and Technology
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    • 제20권12호
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    • pp.2284-2291
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    • 2006
  • The present study investigates gas residence time and mixing characteristics for various swirl numbers generated by injection of secondary air into a lab-scale cylindrical combustor. Fine dust particles and butane gas were injected into the test chamber to study the gas residence time and mixing characteristics, respectively. The mixing characteristics were evaluated by standard deviation value of trace gas concentration at different measurement points. The measurement points were located 25 mm above the secondary air injection position. The trace gas concentration was detected by a gas analyzer. The gas residence time was estimated by measuring the temporal pressure difference across a filter media where the particles were captured. The swirl number of 20 for secondary air injection angle of 5$^{\circ}$ gave the best condition: long gas residence time and good mixing performance. Numerical calculations were also carried out to study the physical meanings of the experimental results, which showed good agreement with numerical results.

자동방류가 가능한 여과형 비점오염처리장치의 운전인자 도출 (Identification of operating parameters in auto-discharging filter system for treatment of urban storm water)

  • 김선희;권은미;박성순;조성주;임채환;강선홍
    • 상하수도학회지
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    • 제24권4호
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    • pp.377-386
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    • 2010
  • To identify operating parameters of the up-flow filtering system, which is available to discharge filtering residue after the rain, developed for treatment of urban storm runoff, lab scale test was carried out. Removal efficiency of SS was 68.7%, 62.2%, and 58.6% at the area roading rate of 2.46m/h, 4.68m/h, and 10m/h, respectively, filtering device is desirable to operate at the lower than 4.68m/h of area roading rate to get higher level of 60% SS removal efficiency. The removal efficiency of SS was 57.1% ~ 68.7% at the raw water SS of 100mg/L ~ 600mg/L, and the SS in treated water was maintained at the constant level through the elapsed time. It is indicate that filtering device can guarantee a certain level of effluent water quality at various raw water quality. The removal efficiency of SS to the depth of filter media was 68.3%, 78.6% at the filter depth of 10 cm, 20cm respectively. The final treated water quality was showed 30.2mg/L of CODMn, 1.60mg/L of TN and 0.25mg/L of TP. The average removal efficiencies by filtering device developed in this research were recorded slightly lower levels than other research. The main reason of these results were the first, the filter depth of the media used in this test was shallow, the second, the kind of filter media in discharge port of residue. More research to kind of filter media, filter packing rate, select of media for residue discharge port should be go on to produce optimum operating condition. The result of this study would be valuable for the application of filtration device to control of urban storm water.

자기 위치 결정을 위한 SIFT 기반의 특징 지도 갱신 알고리즘 (An Algorithm of Feature Map Updating for Localization using Scale-Invariant Feature Transform)

  • 이재광;허욱열;김학일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 심포지엄 논문집 정보 및 제어부문
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    • pp.141-143
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    • 2004
  • This paper presents an algorithm in which a feature map is built and localization of a mobile robot is carried out for indoor environments. The algorithm proposes an approach which extracts scale-invariant features of natural landmarks from a pair of stereo images. The feature map is built using these features and updated by merging new landmarks into the map and removing transient landmarks over time. And the position of the robot in the map is estimated by comparing with the map in a database by means of an Extended Kalman filter. This algorithm is implemented and tested using a Pioneer 2-DXE and preliminary results are presented in this paper.

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Surf points based Moving Target Detection and Long-term Tracking in Aerial Videos

  • Zhu, Juan-juan;Sun, Wei;Guo, Bao-long;Li, Cheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권11호
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    • pp.5624-5638
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    • 2016
  • A novel method based on Surf points is proposed to detect and lock-track single ground target in aerial videos. Videos captured by moving cameras contain complex motions, which bring difficulty in moving object detection. Our approach contains three parts: moving target template detection, search area estimation and target tracking. Global motion estimation and compensation are first made by grids-sampling Surf points selecting and matching. And then, the single ground target is detected by joint spatial-temporal information processing. The temporal process is made by calculating difference between compensated reference and current image and the spatial process is implementing morphological operations and adaptive binarization. The second part improves KALMAN filter with surf points scale information to predict target position and search area adaptively. Lastly, the local Surf points of target template are matched in this search region to realize target tracking. The long-term tracking is updated following target scaling, occlusion and large deformation. Experimental results show that the algorithm can correctly detect small moving target in dynamic scenes with complex motions. It is robust to vehicle dithering and target scale changing, rotation, especially partial occlusion or temporal complete occlusion. Comparing with traditional algorithms, our method enables real time operation, processing $520{\times}390$ frames at around 15fps.

Adaptive Weight Collaborative Complementary Learning for Robust Visual Tracking

  • Wang, Benxuan;Kong, Jun;Jiang, Min;Shen, Jianyu;Liu, Tianshan;Gu, Xiaofeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.305-326
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    • 2019
  • Discriminative correlation filter (DCF) based tracking algorithms have recently shown impressive performance on benchmark datasets. However, amount of recent researches are vulnerable to heavy occlusions, irregular deformations and so on. In this paper, we intend to solve these problems and handle the contradiction between accuracy and real-time in the framework of tracking-by-detection. Firstly, we propose an innovative strategy to combine the template and color-based models instead of a simple linear superposition and rely on the strengths of both to promote the accuracy. Secondly, to enhance the discriminative power of the learned template model, the spatial regularization is introduced in the learning stage to penalize the objective boundary information corresponding to features in the background. Thirdly, we utilize a discriminative multi-scale estimate method to solve the problem of scale variations. Finally, we research strategies to limit the computational complexity of our tracker. Abundant experiments demonstrate that our tracker performs superiorly against several advanced algorithms on both the OTB2013 and OTB2015 datasets while maintaining the high frame rates.

음성 신호 시간축 변환의 실시간 구현에 관한 연구 (A Study on Real-time Implementing of Time-Scale Modification)

  • 한동철;이기승;차일환;윤대희
    • 한국음향학회지
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    • 제14권2호
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    • pp.50-61
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    • 1995
  • 본 논문에서는 음성 신호가 가지고 있는 중요한 특성을 유지하면서 발음 속도만을 변화시키는 시간축 변환 방법을 범용 디지탈 신호 처리 프로세서를 이용하여 실시간으로 구현하였다. 음성 신호 시간축 변환은 음성 신호의 발음 속도만을 변화시키기 때문에, 입력 신호와 변환 신호간의 시간적 차이가 발생하여 실시간 처리가 불가능하다. 본 논문에서는 이러한 입력, 변환 신호간의 시간차를 해결하기 위해서, 카세트 테이프 레코더의 모터 회전 속도를 조절하는 것과 같은 물리적 시간축 변환으로, 입력 음성 신호를 느리게 또는 빠르게 변환시켜 그 신호를 실시간 시스템의 입력으로 사용하였다. 카세트 레코더의 주행 속도만을 조절하는 물리적 변환은 원 신호의 피치 정보를 왜곡시켜, 원 음성의 특성을 변화시키기 때문에, 본 연구에서는 FIR 필터를 이용한 피치 보정 기법으로 왜곡된 신호를 원신호로 복원한 후, SOLA 시간축 변환 방법을 이용하여, 복원된 신호를 카세트 레코더의 모터 속도에 맞추어 시간축으로 변환하는 시스템을 실시간으로 구현하였다. 구현된 알고리듬으로 음성 신호를 시간축으로 변환하는 실험에서, 16비트 해상도를 가진 ADSP2101 프로세서로 구현한 결과와 컴퓨터 시뮬레이션 결과를 비교할 때 평균 구간 신호 대 오차비가 대략 20dB로 두 결과가 거의 유사함을 알 수 있었다.

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