• Title/Summary/Keyword: 골프 그린

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지혜 깊어지는 건강_내 몸에 꼭 맞는 운동 - 튼튼한 척추로 나이스샷~!

  • Lee, Yun-Mi
    • 건강소식
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    • v.35 no.9
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    • pp.26-27
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    • 2011
  • 긴 장마와 무더위도 끝나고 골프를 즐기기 좋은 9월이 왔다. 푸르른 그린 위에서 맑은 공기 마시며 운동할 수 있는 것은 골프만의 매력이다. 그러나 무턱대고 라운딩을 즐기면 척추와 관절에 무리를 줄 수 있어 오히려 건강을 해치는데, 건강하게 골프 즐기는 방법은 무엇이 있을까?

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Development of a Hole Cup Recognition Model on Golf Green Using Object Detection Technology (물체 탐지 기술을 사용하여 골프 그린에서 홀 컵 인지 모델 개발)

  • Jae-Moon, Lee;Kitae, Hwang;Inhwan, Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.1
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    • pp.15-21
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    • 2023
  • This paper is a study on the development of an artificial intelligence model that recognizes a hole cup on a golf green. A CNN-based object detection algorithm was used to recognize the hole cup on the green. Also, Apple's CreateML was used to create a model of the object detection algorithm. This paper created a JSON file with 120 training images and annotations to meet the needs of CreateML. In addition, for more accurate learning, data amplification algorithm was used for learning data and 288 learning data were used for learning. By changing the Iterations, Batch size, and Grid size required by CreateML, we found parameter values that improve the performance of the model. A prototype app was developed by applying the developed model, and performance was measured on an actual golf course green using the prototype app. As a result of the measurement, it was found that the hole cup was accurately recognized within 10m, which is the typical golfer's putting distance.

Organic Matter Dynamics on Golf Course Greens (골프장 그린에서 토섬별 유기물의 경시적 변화)

  • Huh, Keun-Young;Ko, Byong-Gu
    • Journal of the Korean Institute of Landscape Architecture
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    • v.36 no.3
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    • pp.21-28
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    • 2008
  • The management of soil organic matter(SOM) is a key component of golf course green maintenance. As part of a major project examining the sustainable management of SOM on golf course greens, the SOM status of different age greens maintained in the same root zone composition and management were compared. Then the microbial activity, tiller number, bulk density, water content, pH, EC, and T-N in the soil were measured. In the 0${\sim}$5cm depth SOM accumulation showed no significant difference between greens. Below 5cm SOM showed a strong significance between greens and had a positive(+) correlation with year and negative(-) correlation with depth. when regression equations were used to predict SOM accumulation with year and depth, SOM below 5cm tended to increase with a rate of 0.061% . year$^{-1}$ and decrease with a rate of 0.079% . $cm^{-1}$(R2==0.841). Soil microbial activity was investigated with age and depth by using a dehydrogenase assay. Results showed a sharp drop with depth in all greens. The soil microbial activity below 5cm showed no difference between greens. The accumulated SOM below 5cm may be very resistant to decomposition in the long-term. Five years after establishment, the bulk density did not significantly change. The water content, EC, and T-N had a significant correlation with SOM. The pH decreased with the year, which may influence SOM accumulation. Organic matter accumulation was mainly affected by the pH decrase,low soil microbial activity, and high organic matter resistant to decomposition, but the effects of water content, EC, and T-N were obscure.

Analysis of Maintenance Expense in various Golf Courses (골프 코스관리 비용 분석)

  • Yoo, Min-Joon;Lee, Jae-Pil;Joo, Young-Kyoo;Kim, Doo-Hwan
    • Asian Journal of Turfgrass Science
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    • v.23 no.1
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    • pp.61-76
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    • 2009
  • The purpose of this study are to investigate the reasonable maintenance expense of golf course according to the size and management system of each golf course. The maintenance cost per hole per golfer of 29 golf courses and the maintenance cost for items and locations of 8 golf courses were analyzed. 1. As golfers per hole increased, maintenance cost per hole per golfer decreased. 2. The decisive cost factors for maintenance cost of golf course are the number of annual golfers, the total course size, the management system, and automation of course facilities. 3. Maintenance cost of golf courses contained the landscaping areas except for building and parking lots is $869^{\}/_{m^2}$ Korean won. 4. Average maintenance cost of 8 golf courses is $44,325,000^{\}/_{hole}$. 5. Labor cost marked the largest portion in the total cost. Among the items of labor cost, repair cost for green ball mark was the highest with the ratio of 26%(\4,163,000). 6. Material cost for Fairways which reaches 30% of the total area was composed of $22%{\sim}44%$ of the total cost of materials. Cost of imported fertilizers, pestcides for insects and diseases, and sands for top dressing was the highest. 7. Material cost for Green which reaches 2% of the total area was composed of $28%{\sim}36%$ of the total cost. Cost of imported products such as particle-shaped fertilizers, micro mineral fertilizers, and soil conditioners was the highest. 8. There is no difference in cost between chemical fertilizers and the environmentally friendly fertilizers even if environmentally friendly fertilizers using microorganism or chitosan materials are also expensive.

Ball movements in various surface angles of uphill putting based on different ball positions (오르막 퍼팅 동작 시 볼의 위치가 퍼터와 볼의 움직임에 미치는 영향)

  • Ryu, Jong-Wook;Kim, Jai-Jeong
    • Journal of the Korean Applied Science and Technology
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    • v.36 no.2
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    • pp.448-455
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    • 2019
  • This study aims to discover whether there are other factors, such as the ball position and address that will increase the percentage of holed putts from different angles of surface. In this study, we selected five male tour professional golfers that has been of 15 years or longer on the Korea Golf Association. As a research tool, after installing a video camera at an artificial site that's similar with the real green, and with the player's own putter, motion analysis was carried out using a Titleist V1x, which is commonly used by golfers. We use SPSS programs, significance level a=.05. According to the ball movement during the ball movement during the ball position putt by section, it is confirmed that the ball speed and angular velocity increase as the ball position changes from left to right. If the uphill putt, ball movement was found to be increased same change flat putt and There is no significance deviation. In this study, we investigate how the clubface and ball move during impact by varying the position of the address ball according to the slope during the ascent putt, which should increase the success rate among the various slopes. This study was conducted to present scientific data.

Lighting Model Design in Golf Course (골프코스 조명 모델 설계)

  • Kang, Young-Sin;Oh, Seong-Bo
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2004.05a
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    • pp.178-183
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    • 2004
  • 스포츠 조명의 목적은 스포츠 종목의 특성에 맞는 조명방법과 조절을 통해 경기력을 발휘 할 수 있게 조명환경을 조성하는 것이다. 또한 조명 설계를 통해 경기자는 물론, 관중 그리고 T.V. 시청자들에게도 경기 내용의 정확한 시각정보를 전달 할 수 있어야 한다. 본 논문에서는 골프코스의 KS조도기준을 바탕으로 하여 티잉그라운드, 페어웨이, 그린으로 나누어서 골프코스 조명 모델 설계를 위하여 컴퓨터 시뮬레이션을 실시하였으며, 적절한 광원의 선정, 조명 pole의 위치 및 크기 등을 고려하여 조명등의 에이밍 조정으로 양질의 조도분포를 구하였다. 이러한 모델 설계를 토대로 골프장 현장적용 설계안을 제시코자한다.

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Management of Fast Putting Green by Using Green Speed Expectation Models (그린 스피드 예측 모형을 통한 빠른 그린 관리 방법)

  • Jang, You-Bee;Shim, Kyung-Ku
    • Asian Journal of Turfgrass Science
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    • v.20 no.1
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    • pp.11-23
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    • 2006
  • This study was carried out to propose low types of green speed expectation models for fast putting green management by changing mowing height($4.0{\sim}2.5$ mm) and timing of rolling, dew removal and dew removal+rolling. Ball roll distance data were taken from the creeping bentgrass(Agrostis palustris Huds. 'Penncross') practice green of east course at the Lakeside C.C. in October 18, 2001 and May 25, 2002. Data were subjected to multi-regression analysis using Statistical Package for the Social Science. Among four types of green speed expectation models, the best multiple-regression equation for fast green management was as follows; $Y_4=4.171-0.225{\cdot}X_1-0.038{\cdot}X_2$ (where, $Y_4$ : green speed(m) after single dew removal+single rolling, $X_1$ : mowing height($4.0{\sim}2.5,\;X_2$ : passage of time ($0{\sim}8$ h.)). The equation[single dew removal by using sponge roller $\rightarrow$ single mowing at 3.0 mm height or less $\rightarrow$ single rolling] explained to provide fast green over 3.2 m (Stimpmeter readings required for USGA championship play) until the end of first round. Therefore, this cultural practice system was believed to provide fast putting green condition for professional golf tournament