• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.11b
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• pp.892-896
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• 2001

Recently, many indoor driving ranges are being built near residential areas because golf is one of the popular sports. Consequently, environmental noise occurs in the residential areas. This study is to predict the noise near the indoor golf driving range by the computer simulation(commercial software Raynoise 3.0) for various cases of noise control methods.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.21 no.11
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• pp.1005-1012
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• 2011

Diverse sports are appearing due to the enhanced quality of life and improved cultural standards of the present society. In particular, as golf gains greater popularity from the public, many golf ranges are being constructed near residential areas. However, the hitting noise generated by golf disrupt the pleasant living environment of neighboring residents to generate strong disputes related with noise. In this perspective, this study analyzed the characteristics and dispersion of sound pressure level according to the frequency of hitting noises generated in golf driving ranges and used this data to predict the range of effect through computer simulation. Thus, it is stipulated that these research results can be used as useful data for establishing effective plans in the future during civil complaints reported in relation to hitting noises in golf driving ranges.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.409-419
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• 2013

The purpose of this study was to figure out the structural relations between service quality perceived by golf driving range customers, service value, customer satisfaction, and repurchase behavior. For the subject of this study, we selected 374 persons among customers who used 8 golf driving ranges located at 'P' Metropolitan city, 'U' Metropolitan city, or 'C' city in 'K' do through the Convenient Sampling Method. The results were as follows: First, the golf driving range's service quality has a positive effect on the service value. Second, the golf driving range's service quality has a positive effect on the customer satisfaction. Third, the service value has a positive effect on the customer satisfaction. Fourth, the service value has a positive effect on the repurchase behavior. Finally, the customer satisfaction has a positive effect on the repurchase behavior.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.12
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• pp.1833-1840
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• 2013

A golf ball collecting robot in a golf ball driving range has been recently required because it is safer and more economic than a human being. In this paper, the golf ball recognition and distance estimation system based on a neural network and OpenCV is developed for the robot. The simulation results show that the recognition ratio is over 87% for the distance of less than 120cm and accurate rate for distance estimation is over 85% for golf balls in 30-180cm from a webcam.

• Korean Journal of Applied Biomechanics
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• v.28 no.1
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• pp.1-8
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• 2018

Objective: The purpose of this study is to investigate the differences in biomechanical variables of golf driving motion according to gender. Method: A total of 21 healthy golfers (11 men and 10 women) who have more than 5 years of professional experience and have been registered in the Korea Golf Association was recruited. A 250-Hz 8-camera motion capture system (MX-T20, Vicon, LA, USA) was used to capture the motion trajectories of a total of 42 reflective markers attached to the golfer's body and club. Moreover, two 1,000-Hz AMTI force plates (AMTI OR6-7-400, AMTI, MA, USA) were used to measure the ground reaction force. The mean and standard deviation for each parameter were then calculated for both groups of 21 subjects. SPSS Windows version 23.0 was used for statistical analysis. The independent t-test was used to determine the differences between groups. An alpha level of .05 was utilized in all tests. Results: There were differences in joint angles according to gender during golf driver swing. Men showed a statistically significantly higher peak joint angle and maximum range of angle in sagittal and frontal axis of the pelvis, hip, and knee. Moreover, women's swing of the pelvis and hips was found to have a pattern using the peak joint angle and range of angle in the vertical axis of the pelvis and hip. There were the differences in peak joint moment according to gender during golf driver swing. Men used higher joint moment in the downswing phase than women in the extensor, abductor, and external rotator muscles of the right hip; flexor and adductor muscles of left hip joint; and flexor and extensor muscles of the right knee. Conclusion: This result reveals that male golfers conducted driver swing using stronger force of the lower body and ground reaction force based on strength of hip and thigh than female golfers.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.237-243
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• 2020

This study examines the inequality of female golf leaders in recruitment and promotion and investigates alternatives to overcome them. It consisted of in-depth interviews and observations of the participants of this researcher by 9 female golf instructors who were employed in the driving range and had more than 10 years of teaching experience. Area analysis and classification analysis were used, and expert consultation, triangulation verification, and reconfirmation with participants were performed. The results first, Female golf leaders were unable to compete equally in the network of male golf leaders who advanced first. Second, female golf leaders were faithful to the role theory of women who have been educated in Confucian culture in Korean society. Third, to overcome the gender inequality reality, education was selected and self-esteem was raised through education. Fourth, fair opportunities should be given through job postings and job standardization. Lastly, it was confirmed that the proportion of athletes soon leads to the proportion of leaders, and that the number of leaders becomes a condition for equality.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.141-148
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• 2019

The purpose of this study is to investigate the relationship between golf leader trust, exercise flow and psychological happiness for golf practice users. This study surveyed 256 golfers. The data were used to examine the causal relationship between variables using SPSS 18.0 and AMOS 18.0. Main findings were as follows: First trust of Instructors had a positive effect on exercise flow. Second, exercise flow had a positive effect on psychological happiness. Third, trust of Instructors had a positive effect on psychological happiness. Fourth, exercise flow mediated the relationship between golf participant trust of Instructors and psychological happiness. If golf participants have higher confidence in their leaders and more commitment to exercise, the quality of life will be higher.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3490-3498
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• 2014

This study examined the relationship among service quality perceived by consumers according to the types of driving ranges(I: indoor and outdoor), market segmentation, the reason for choice of the driving range, customer satisfaction and loyalty and analyze their causal relationship. To reach this goal, this study conducted a questionnaire research for consumers of driving ranges by dividing it into the indoor and outdoor ranges. The quest-factor analysis(SPSSWIN Ver 13.0), the confirmatory factor analysis and the structural equation modeling method (AMOS 6.0) were used to analyze the data collected for this study. Based on the findings of this study, the following conclusions were drawn: The reason for the choice in both indoor driving and outdoor driving had no direct influence on the customer loyalty, but it had an indirect influence on the customer loyalty through customer satisfaction and service expectation. In addition, the service expectation had a direct influence on the customer loyalty in both indoor driving and outdoor driving. Therefore, the customer satisfaction in both indoor driving and outdoor driving serve as a significant mediating variable to reinforce the relationship between the service quality and customer loyalty.

• Journal of the Korean Applied Science and Technology
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• v.36 no.1
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• pp.217-225
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• 2019

The aim of this study was determine to effect of shaft length and physical condition on golf driving performance(head speed, distance and direction). A range of drivers with length between 44 inch, 45 inch and 46 inch limit imposed by R&A rules limited were assembled and evaluated. Club head speed and drive distance and accuracy were determined three category 27 PGA pro golfer (handicaps 0, and height $170cm{\geq}171-175{\geq}175-180cm$) who golf performance. As a results follow : Head speed was significantly difference with 44, 45 between 46inch(p<.01). Distance was significantly difference with 44 between 46inch(p<.05). And direction was significantly difference with 44, 45inch between 46inch(p<.05). Head speed according to height was general similarity among shaft length in 170cm, 171-175cm. Distance were general similarity among shaft length in 170cm, and significantly difference with 44inch between 46inch in 171-175cm(p<.01), and significantly difference with 45inch between 46inch in 176-180cm(p<.05). Direction were significantly difference with 44inch between 46inch in 170cm(p<.05), but do not significantly difference with 44inch between 46inch in 176-180cm, 176-180cm. These results show that shaft length and height can affect head speed, distance and direction.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.243-264
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• 2018

Although the worldwide battery market is recently spurring the development of lithium secondary battery, lead acid batteries (rechargeable batteries) which have good-performance and can be reused are consumed in a wide range of industry fields. However, lead-acid batteries have a serious problem in that deterioration of a battery makes progress quickly in the presence of that degradation of only one cell among several cells which is packed in a battery begins. To overcome this problem, previous researches have attempted to identify the mechanism of deterioration of a battery in many ways. However, most of previous researches have used data obtained in a laboratory to analyze the mechanism of deterioration of a battery but not used data obtained in a real world. The usage of real data can increase the feasibility and the applicability of the findings of a research. Therefore, this study aims to develop a model which predicts the battery deterioration using data obtained in real world. To this end, we collected data which presents change of battery state by attaching sensors enabling to monitor the battery condition in real time to dozens of golf carts operated in the real golf field. As a result, total 16,883 samples were obtained. And then, we developed a model which predicts a precursor phenomenon representing deterioration of a battery by analyzing the data collected from the sensors using machine learning techniques. As initial independent variables, we used 1) inbound time of a cart, 2) outbound time of a cart, 3) duration(from outbound time to charge time), 4) charge amount, 5) used amount, 6) charge efficiency, 7) lowest temperature of battery cell 1 to 6, 8) lowest voltage of battery cell 1 to 6, 9) highest voltage of battery cell 1 to 6, 10) voltage of battery cell 1 to 6 at the beginning of operation, 11) voltage of battery cell 1 to 6 at the end of charge, 12) used amount of battery cell 1 to 6 during operation, 13) used amount of battery during operation(Max-Min), 14) duration of battery use, and 15) highest current during operation. Since the values of the independent variables, lowest temperature of battery cell 1 to 6, lowest voltage of battery cell 1 to 6, highest voltage of battery cell 1 to 6, voltage of battery cell 1 to 6 at the beginning of operation, voltage of battery cell 1 to 6 at the end of charge, and used amount of battery cell 1 to 6 during operation are similar to that of each battery cell, we conducted principal component analysis using verimax orthogonal rotation in order to mitigate the multiple collinearity problem. According to the results, we made new variables by averaging the values of independent variables clustered together, and used them as final independent variables instead of origin variables, thereby reducing the dimension. We used decision tree, logistic regression, Bayesian network as algorithms for building prediction models. And also, we built prediction models using the bagging of each of them, the boosting of each of them, and RandomForest. Experimental results show that the prediction model using the bagging of decision tree yields the best accuracy of 89.3923%. This study has some limitations in that the additional variables which affect the deterioration of battery such as weather (temperature, humidity) and driving habits, did not considered, therefore, we would like to consider the them in the future research. However, the battery deterioration prediction model proposed in the present study is expected to enable effective and efficient management of battery used in the real filed by dramatically and to reduce the cost caused by not detecting battery deterioration accordingly.