• 아시안잔디학회지
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• 제13권3호
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• pp.139-146
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• 1999

This studies was carried out to estimate the influence of mowing height, time lapse, rolling, and dew removal on green speed of putting green in Lake Side C. C. on 29, 30 Jun. 1998. The results were as follows. As mowing height increased, green speed tended to be decreased. After mowing, green speed tended to be decreased over the time, and appeared to be decrease significantly on the next day[Y=3.206-0.127.X1-1.41$\times$10-2.X4(Y=green speed, X1=mowing height, X4=time lapse)]. This suggests that the frequency of mowing must be increased to maintain the green speed. But, frequent mowing cause the turfgrass of putting green to be stressed. Rolling tended to increase green speed[Y=3.555-0.202.X1+0.111.X2(Y=green speed, X1=mowing height, X2=rolling)]. Thus, rollers is thought to be an tool used to increase green speed and rolling is expected to be able to decrease turfgrass stress while maintaining the performance level of the putting green. Dew removal appeared to increase green speed significantly[Y=2.499-0.125.X1+0.366.X3(Y=green speed, X1=mowing height, X3=dew removal)]. Thus, dew removal is expected to maintain the green speed in the morning.

• 한국조경학회지
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• 제29권4호
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• pp.91-99
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• 2001

This study was carried out to investigate the effects of mowing height, rolling, N-fertilizing, and season on green speed(i.e., ball-roll distance) for developing and implementing a program of increasing green speed in Korean golf courses. Data were subjected to multi-regression analysis using SPSSWIN(Statistical Package for the Social Science), which collected from Yong-Pyong golf course greens selected to investigate. The results was as follows. 1) The multi-regression analysis of mowing height, rolling times, and N-fertilizer application rates on spring green speed was as follows; $Y_1$(spring green speed)=4.287+0.155X$_1$(rolling times)-0.131X$_2$(the amount of N-fertilizing)-0.251X$_3$(mowing height). 2) The multi-regression analysis of mowing height, rolling times, and N-fertilizer application rates on summer green speed was as follows; $Y_2$(summer green speed)=4.833-0.423X$_3$(mowing height)+0.146X$_1$(rolling times)-0.107X$_2$(the amount of N-fertilizing). 3) The multi-regression analysis of mowing height, rolling times, and N-fertilizer application rates on fall green speed was as follows; $Y_3$(fall green speed)=4.651-0.383X$_3$(mowing height)+0.142X$_1$(rolling times)-0.103X$_2$(the amount of N-fertilizing). 4) As mowing height was lowered by 1mm, green speed increased by 0.251~0.423m. As rolling times increased by 1(one), green speed increased by0.142~0.15m. As the amount of N-fertilizing increased by 1g/$m^2$, green speed decreased by 0.103~0.131m. The season also affected green speed. In comparison with spring green speed, summer green speed decreased by 0.145m and fall green speed decreased by 0.144m.

• 아시안잔디학회지
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• 제11권3호
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• pp.205-210
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• 1997

The metal spikes evaluated in this study significantly affected more negative on the turf wear and ball speed of putting green than alternative plastic spikes. 1.The metal spikes caused the most amount of wear compared with plastic spikes, athletic shoes and mountain-climbing shoes. On the other hand, athletic shoes caused the least amount of wear. Plastic spikes caused wear more than athletic shoes, hut apparently wear less than metal spikes. The wear from metal spike repaired later than any other tread types. 2.The wear from all kinds of shoe treads in wetcondition green were higher than in dry-condition green and the wear from metal spikes was more severe compared with plastic spikes in both green condition. 3. Ball speed of heavy compaction area by metal spike was reduced about 9% compared with that of light compaction area, hecause metal spikes made many holes in the putting green surface. On the other hand, plastic spikes did not affect hall speed of heavy and light compaction area in the putting green. Key words: Metal spike, Plastic spike, Wear, Ball speed.

• 아시안잔디학회지
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• 제25권2호
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• pp.223-228
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• 2011

본 연구는 잔디 생육에 따른 그린스피드의 변화를 알아보고자 시행되었으며, 이를 위해 실제 골프장그린의 잔디밀도, 토양수분, 표면경도, 예고를 6개월 동안 매일 조사함으로써 그린스피드 향상을 위한 효과적인 그린관리 방법을 모색하였다. 연구결과 잔디밀도, 토양수분, 표면경도 그리고 잔디예고와 그린스피드 사이의 신뢰도는 각각 0.4742, 0.5690, 0.4632, 0.2806로 측정되어 토양수분이 그린스피드에 가장 큰 영향을 미치는 요소라 사료된다. 따라서, 잔디 생육에 지장을 주지 않는 범위라면 토양수분을 조금 낮게 유지하는 것이 그린스피드를 향상시키는데 유리한 환경이 될 것이다. 잔디밀도의 경우 그린업 시기이며 가장 활발한 생육기인 5~6월에 충분한 밀도를 확보할 경우 빠른 그린스피드를 내는 효과적일 것이라 사료된다. 표면경도는 롤링과 같은 관리 작업을 통해 경도를 높이는 것이 상당히 효과적인 방법이라는 점을 확인할 수 있었다. 다만, 롤링은 잔디에 높은 스트레스를 주는 작업이므로 정기적인 배토작업을 병행하는 관리가 좋은 대안이 될 수 있겠다. 그린예고와 그린스피드 신뢰도는 0.2806으로 토양수분이나 표면 경도에 비해 낮았다. 본 결과를 통해, 예고를 3.0 mm 이하로 낮게 관리하는 것은 그린스피드 향상에 도움이 되며, 시기적으로는 벤트그래스의 생육이 왕성한 시기에 예고를 조절하여 그린스피드를 관리하는 것이 유리하다는 점을 알 수 있었다. 하지만, 예고의 범위가 2.9~3.4 mm로 다양하지 못했던 상황을 고려하여 향후 좀 더 다양한 예고에서 그린스피드를 조사하는 연구가 필요할 것이다. 결과적으로, 잔디예고를 제외한 다른 세 가지 요소 잔디밀도, 토양수분, 표면경도는 그린스피드와 상당 수준의 신뢰도는 있는 것으로 조사되었으며, 잔디의 상태와 시기에 따라 각 요소가 독립적으로 그린스피드에 영향을 미치는 것으로 사료된다. 따라서, 관리자가 연중 높은 그린스피드를 유지하기 위해서는 시기별로 잔디생육 상태를 고려해 각 요소별로 집중 관리가 필요할 것으로 사료된다.

• 대한교통학회지
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• 제12권1호
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• pp.55-73
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• 1994

The objective of this research is to evaluate the pedestrian signal time involving green and flashing green times. The minimum pedestrian green indication should give time for pedestrian to start crossing safely, and the flashing green indication should give time to complete the crossing. An average pedestrian crossing speed of 1.1(m/s) was estimated by analyzing the field data which was slower than the 1.2(m/s) currently used. Furthermore, the study proposed that design speed for the flashing green time should be slow speed for considerations pedestrian safety, not the average speed. The 0.78-1.01(m/s) of pedestrian speed was estimated at the elementary school areas that indicated 0.2(m/s) slower than the other areas. The pedestrian starting time (perception/reaction time) and time headway from front to back of herd was estimated to determine minimum pedestrian green time. the pedestrian starting time was estimated to determine minimum pedestrian green time. The pedestrian starting time was ranged 2.52-4.29 seconds. The time interval between the pedestrian rows was found to be 1.25-1.86 seconds, which declines as the pedestrian rows increases, The equation to calculate the pedestrian signal, which declines as the pedestrian rows increases. The equation to calculate the pedestrian signal time is proposed using the pedestrian starting time, the time interval between the pedestrian rows, and pedestrian crossing speed given area types (commercial, business, mixed, and elementary school areas), number of both-directional pedestrians for a cycle, crosswalk length and width.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2000년도 춘계학술대회 논문집
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• pp.23-28
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• 2000

The Green integral equation for the calculation of the forward-speed time-harmonic radiation-diffraction potentials IS derived. The forward-speed Green function presented by Brard is used and the correct free surface boundary condition for the Green function is imposed. The cause of the mistakes in the existing Green integral equation is also pointed out.

• Journal of Ship and Ocean Technology
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• 제6권1호
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• pp.34-53
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• 2002

Numerical solution of the forward-speed radiation problem for a half-immersed cylinder advancing in regular waves is presented by making use of the improved Green integral equation in the frequency domain. The B-spline higher order panel method is employed stance the potential and its derivative are unknown at the same time. The present numerical solution of the improved Green integral equation by the B-spline higher order Kelvin panel method is shown to be free of irregular frequencies which are present in the Green integral equation using the forward-speed Kelvin-type Green function.

• 한국조경학회지
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• 제28권4호
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• pp.29-43
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• 2000

This study is carried out to investigate the cahracteristics of green management practices and green speed(i.e., ball-roll distance) on 129 Golf Courses in Korea, and to explain the effects of managemet practices that affect green speed. Data collected from green-keepers were subjected to frequency, correlation analysis, and multi-regression analysis using SPSSWIN(Statistical Package for the Social Science). The results are as follows. 1. In spring mowing height, 3.5-4 mm appeared the highest frequency(44.4%) and 4-4.5mm mowing height appeared the high frequency(41.0%). In summer mowing height, 4.5-5mm appeared the highest frequency(51.3%). In fall mowing height, 4-4.5mm appeared the highest frequency(41.0%). 2. In N-fertilizing amount of February and November, 0(zero) g/$m^2$ appeared the highest frequency. In N-fertilizing amount, of June and July 0-2 g/$m^2$ appeared the highest frequency. In N-fertilizing amount, of March, May, August, and September 2-4 g/$m^2$ appeared the highest frequency. In N-fertilizing amount, of October 2-4 or 6-8 g/$m^2$ appeared the highest frequency. 3. In spring topdressing times, 3-6 times appeared the highest frequency(52.6%). In spring topdressing amount, more than 2mm appeared the highest frequency(35.9%). In summer topdressing tierms, 0-3times appeared the highest frequency(71.8%). In summer topdressing amount, 0.5-1mm appeared the highest frequency(46.2%). In fall topdressing times, 0-3times appeared the highest frequency(47.4%). In fall topdressing amount, more than 2mm appeared the highest frequency(35.9%). 4. In spring irrigation tiems, 3-4times/a week appeared the highest frequency (30.6%). In spring irrigation amount, the irrigation below 5mm/day under appeared the highest frequency(38.7%). In summer irrigation times, 4-7times/ a week appeared the highest frequency(38.9%). In summer irrigation amount, 5-10mm/a day appeared the highest frequency(45.2%). In fall irrigation times, 2-3times/a week appeared the highest frequency(36.1%). In fall irrigation amount, the irrigation below 5mm/a day under appeared the highest frequency(45.2%). 5. In spring aeration times, 2 times appeared the highest frequency(55.2%). In spring aeration depth, 5-10mm appeared the highest frequency(81.6%). In fall aeration times, 1 time appeared the highest frequency(82.5%). In fall aeration depth, 5-10mm appeared the highest frequency(86.8%). 6. In spring green speed, 1.98-2.28 or 2.59-2.89mm appeared the highest frequency(32.7%). In summer green speed, 1.98-2.28mm appeared the highest frequency (46.9%). In fall green speed, 1.98-2.28mm appeared the highest frequency(38.8%). 7. The factors which affect green speed were mowing height, N-fertilizing, season, topdressing, irrigation, and aeration. Vertical mowing did not affect green speed. The order of the relevant important factors was mowing height >: N-fertilizing > season > topdressing > irrigation > aeration. Mowing height and N-fertilizing were the most important factors in green speed. As mowing height decreased, green sped always increased. As total N-fertilizing amount decreased, green speed increased. In summer, green sped decreased remarkably. As topdressing times increased and the topdressing amount decreased, green sped increased. As irrigation times increased and irrigation amount decreased, green speed increased.

• 아시안잔디학회지
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• 제18권1호
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• pp.37-46
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• 2004

본 연구는 골프코스관리자들이 빠른 그린관리를 위한 장비 사용 계획시 참고가 될 수 있는 기초자료를 제공하고자 그린모아 유형(보행식, 승용식)에 따른 그린스피드 차이, 보행식 그린모아에 장착된 회전날 유형(9날, 11날)에 따른 그린스피드 차이 그리고 롤러 유형(승용식 그린정리기, 경량롤러)에 따른 그린스피드 차이를 비교하였다. 그 결과의 요약은 다음과 같았다. 1. 그린모아 유형(보행식, 승용식)에 따른 그린스피드 차이는 깎기 후 바로 그리고 깎기 후 8시간 경과 뒤에도 보행식 그린모아를 사용한 3.8mm 깎기 처리구가 승용식 그린긴아를 사용한 3.8mm 깎기 처리구에 비해 그린스피드가 빠르게 나타났고 이는 95% 유의수준에서 통계적으로 유의한 결과였다. 따라서 보행식 그린모아가 승용식 그린모아에 비해 빠른 그린 관리에 적합한 장비 유형으로 판단되 었다. 2. 그린모아에 장착된 회전날 유형(9날, 11날)에 따른 그린스피드 차이는 11날 장착 보행식 그린모아를 사용한 3.2mrn 깎기 처리구가 9날 장착 보행식 그린모아를 사용한 3.2mm 깎기 처리구에 비해 그린스피드가 빠르게 나타났고 이는 95% 유의수준에서 통계적으로 유의한 결과였다. 따라서, 11날이 9날보다 빠른 그린관리에 적합한 회전날 유형으로 판단되었다. 3. 보행식 그린모아로 3.0mm로 깎기한 다음이어서 승용식 그린정리기로 1회 롤링한 처리구와 보행식 그린모아로 3.0mm로 깎기한 다음 이어서 경량롤러로 1회 롤링한 처리구간의 그린스피드 차이(다짐후 그린스피드 증가효과)는 95% 유의수준에서 통계적으로 유의하지 못했으나 8시간 경과 뒤에 측정한 두 처리구들의 그린스피드의 차이(다짐후 그린스피드 감소효과)는 95% 유의수준에서 통계적으로 유의한 결과를 나타냈다. 따라서, 경량롤러가 승용식 그린정리기 보다 빠른 그린관리에 적합한 롤러유형으로 판단되었다.

• Ocean Systems Engineering
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• 제6권4호
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• pp.305-324
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• 2016

Wave load prediction at zero forward speed using finite depth Green function is a well-established method regularly used in the offshore and marine industry. The forward speed approximation in deep water condition, although with limitations, is also found to be quite useful for engineering applications. However, analysis of vessels with forward speed in finite water depth still requires efficient computing methods. In this paper, a method for analysis of wave induced forces and corresponding motion on freely floating three-dimensional bodies with low to moderate forward speed is presented. A finite depth Green function is developed and incorporated in a 3D frequency domain potential flow based tool to allow consideration of finite (or shallow) water depth conditions. First order forces and moments and mean second order forces and moments in six degree of freedom are obtained. The effect of hull flare angle in predicting added resistance is incorporated. This implementation provides the unique capability of predicting added resistance in finite water depth with flare angle effect using a Green function approach. The results are validated using a half immersed sphere and S-175 ship. Finally, the effect of finite depth on a tanker with forward speed is presented.