• Title/Summary/Keyword: Starting Block

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Analysis of the angular momentum on the lower extremity by change of starting block angles (스타트 블록의 각도에 따른 하지의 각운동량 분석)

  • Shin, Sung-Hu;Kim, Tae-Wan;Kwon, Moon-Seok;Go, Suk-Gon;Park, Ki-Ja
    • Korean Journal of Applied Biomechanics
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    • v.14 no.3
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    • pp.165-175
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    • 2004
  • The aim of this study is to show the effect of starting block angle on the starting motion of sprinters using a crouching start. After installing starting blocks on forced platform, and having four highly comparative sprinters use the starting blocks, I analyzed the angular momentum of a crouching start. From the results of the analysis, the following conclusions could be drawn: There were differences of angular momentum both in body's X, Y, and Z axes and in the thighs' X axes, but not in the pelvis and lower legs. As to the general change of block angle, we noticed that an angular momentum for each segments was higher at an angle of 50 to 55 degrees.

Statistical Image Feature Based Block Motion Estimation for Video Sequences (비디오 영상에서 통계적 영상특징에 의한 블록 모션 측정)

  • Bae, Young-Lae;Cho, Dong-Uk;Chun, Byung-Tae
    • The Journal of the Korea Contents Association
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    • v.3 no.1
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    • pp.9-13
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    • 2003
  • We propose a block motion estimation algorithm based on a statistical image feature for video sequences. The statistical feature of the reference block is obtained, then applied to select the candidate starting points (SPs) in the regular starting points pattern (SPP) by comparing the statistical feature of reference block with that of blocks which are spread ower regular SPP. The final SPs are obtained by their Mean Absolute Difference(MAD) value among the candidate SPs. Finally, one of conventional fast search algorithms, such as BRGDS, DS, and three-step search (TSS), has been applied to generate the motion vector of reference block using the final SPs as its starting points. The experimental results showed that the starting points from fine SPs were as dose as to the global minimum as we expected.

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Analysis of the Frictional Behavior of Rubber Block (고무 블록의 마찰 거동 해석)

  • Kim, Doo-Man;Yoo, Hyun-Seung
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.14 no.3
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    • pp.16-22
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    • 2006
  • The friction and wear of tire determined by frictional behavior of tire tread that translate driving force, cornering force and braking force between automobile and road as a result of frictional behavior of each tread block. The tire tread block is representative case of rubber block doing frictional behavior. In this paper, frictional behavior of rubber block under compressive force and shear force was analytically obtained by using slip starting position parameter instead of friction coefficient which is uncertain to express exact value between rubber and other surfaces yet. And local coefficients of friction were calculated as a function of compressive force, shear force, shear modulus of rubber, shape factor and slip starting position.

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A Kinematical Comparative Study on Crouching Starts According to the Position Blocks in Race (Crouching Start 시 스타팅 블록 유형에 따른 운동학적 분석)

  • Choi, Su-Nam;Oh, Cheong-Hwan
    • Korean Journal of Applied Biomechanics
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    • v.18 no.3
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    • pp.93-105
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    • 2008
  • This study was for the analysis of Kinematic variables, using 3 types of starting block position setting(25cm, 40cm, 35cm). The subjects of the study were 8 short-distance male runners. In the study, the most desirable block setting type for the runner who were average 180cm tall to get the good record was 45cm (distance between the starting line and the front block) and 40cm (distance between the blocks). In conclusion, the most favorable start in 100m race was to get the strongest propelling power at the start line. The most important technical point was quick responding ability to the start signal and reaching the maximum speed at the shortest time through the strong kick using the front leaning body angle and gravity. Type B start method has shown the most effective results for the improvement of the records in the 100m race.

An Adaptive Block Matching Algorithm based on Temporal Correlations

  • Yoon, Hyo-Sun;Son, Nam-Rye;Lee, Guee-Sang;Kim, Soo-Hyung
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.188-191
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    • 2002
  • To reduce the bit-rate of video sequences by removing temporal redundancy, motion estimation techniques have been developed. However, the high computational complexity of the problem makes such techniques very difficult to be applied to high-resolution applications in a real time environment. For this reason, low computational complexity motion estimation algorithms are viable solutions. If a priori knowledge about the motion of the current block is available before the motion estimation, a better starting point for the search of n optimal motion vector on be selected and also the computational complexity will be reduced. In this paper, we present an adaptive block matching algorithm based on temporal correlations of consecutive image frames that defines the search pattern and the location of initial starting point adaptively to reduce computational complexity. Experiments show that, comparing with DS(Diamond Search) algorithm, the proposed algorithm is about 0.1∼0.5(㏈) better than DS in terms of PSNR and improves as much as 50% in terms of the average number of search points per motion estimation.

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Self-starting monitoring procedure for the dynamic degree corrected stochastic block model (동적 DCSBM을 모니터링하는 자기출발 절차)

  • Lee, Joo Weon;Lee, Jaeheon
    • The Korean Journal of Applied Statistics
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    • v.34 no.1
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    • pp.25-38
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    • 2021
  • Recently the need for network surveillance to detect abnormal behavior within dynamic social networks has increased. We consider a dynamic version of the degree corrected stochastic block model (DCSBM) to simulate dynamic social networks and to monitor for a significant structural change in these networks. To apply a control charting procedure to network surveillance, in-control model parameters must be estimated from the Phase I data, that is from historical data. In network surveillance, however, there are many situations where sufficient relevant historical data are unavailable. In this paper we propose a self-starting Shewhart control charting procedure for detecting change in the dynamic networks. This procedure can be a very useful option when we have only a few initial samples for parameter estimation. Simulation results show that the proposed procedure has good in-control performance even when the number of initial samples is very small.

A NEW VERSION OF FIRST RETURN TIME TEST OF PSEUDORANDOMNESS

  • Kim, Dong-Han
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.12 no.2
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    • pp.109-118
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    • 2008
  • We present a new version of the first return time test for pseudorandomness. Let $R_n$ be the first return time of initial n-block with overlapping. An algorithm to calculate the probability distribution of the first return time $R_n$ for each starting block is presented and used to test pseudorandom number generators. The standard Z-test for log $R_n$ is applied to test the pseudorandom number generators.

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A Block Matching Algorithm using Motion Vector Predictor Candidates and Adaptive Search Pattern (움직임 벡터 예측 후보들과 적응적인 탐색 패턴을 이용하는 블록 정합 알고리즘)

  • Kwak, Sung-Keun;Wee, Young-Cheul;Kim, Ha-JIne
    • The KIPS Transactions:PartB
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    • v.11B no.3
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    • pp.247-256
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    • 2004
  • In this paper, we propose the prediction search algorithm for block matching using the temporal/spatial correlation of the video sequence and the renter-biased property of motion vectors The proposed algorithm determines the location of a better starting point for the search of an exact motion vector using the point of the smallest SAD(Sum of Absolute Difference) value by the predicted motion vector from the same block of the previous frame and the predictor candidate pint in each search region and the predicted motion vector from the neighbour blocks of the current frame. And the searching process after moving the starting point is processed a adaptive search pattern according to the magnitude of motion vector Simulation results show that PSNR(Peak-to-Signal Noise Ratio) values are improved up to the 0.75dB as depend on the video sequences and improved about 0.05∼0.34dB on an average except the FS (Full Search) algorithm.