• Title/Summary/Keyword: 타구속도

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Golf driver shaft variability on ball speed, head speed and fly distance (골프 드라이버 샤프트의 가변성이 타구속도, 헤드스피드 및 비거리에 미치는 영향)

  • Jung, Chul;Park, Woo-Yung
    • Journal of the Korean Applied Science and Technology
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    • v.35 no.1
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    • pp.273-283
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    • 2018
  • The purpose of this study is to analyze the optimum driver selection according to shaft intensity, shaft length and shaft weight that are determining factors of driver shot. To achieve the above purpose, the subject were participate with handicap zero 10 male pro golfer and mean score 90(handicap about 18) amateur 10 male golfer. The used club limited number 1 driver, we tested 24 driver which is shaft intensity, length, weight, total weight and swing weight. Dependent variable was strike ball speed, flying distance and head speed. The findings can be summarized as follows. First, There is a significantly difference in CPM. Ball speed, head speed and flying distance according to driver shaft intensity were found to be the best when CPM is 230<. Second, There is a significantly difference in shaft length. Ball speed, and head speed according to driver shaft length were found to be the best at 46 inch and flying distance were found to be the best at 45 inch. Third, There is not significantly difference in SW. Ball speed and flying distance according to driver shaft weight were found to be the best with 65g. In the case of head speed, it was the fastest with 50g shaft. Four, total variables were significantly difference between in pro and amateur golfer. In conclusion, there would be differences in individual physical condition but the best result was found with a driver of CPM 230<, shaft length 46inch, and shaft weight 65g.

Estimation of Link Travel Speed Using Single Loop Detector Measurements for Signalized Arterials (단일루프검지기를 이용한 간선도로 실시간 통행속도 추정 방법론)

  • 김영찬;최기주;김도경;오기도
    • Journal of Korean Society of Transportation
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    • v.15 no.4
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    • pp.53-71
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    • 1997
  • This paper presents a methodology for estimating average travel speed using volume and occupancy data from single magnetic loop detectors for signalized arterials. Three methods were developed and evaluated using field data: VPLUSKO method, fuzzy control method, and neural network method. While the VPLUSKO method is easy to apply, it results poor performances compared to other methods. The neural network method showed the best performances among the candidate methods. This method revealed the weakness in transferability, however. From limited cases of field test, it was concluded that the method of the fuzzy control application showed reasonable performance of estimation. It was also demonstrated that the fuzzy control method has the capability of transferability.

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