• Journal of Distribution Science
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• v.20 no.8
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• pp.105-114
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• 2022

Purpose: The technology acceptance model (TAM) refers to a theory that maps the possibility or extent to which users can accept an innovative technology. The purpose of the current research is to investigate the mediating effect of TAM between online review and behavior intention for promoting golf app's distribution. Research design, data and methodology: In order to examine the relationship between app usage reviews, TAM, and behavioral intentions of golf app participants, the present author collected total 170 responses from South Korean participants based on web-based survey system. The main methodology which was selected by this study is mediation causality analysis that Baron and Kenny suggested. Results: The statistical findings definitely indicated that TAM mediating role exists between the positive emotion of golf app users regarding online reviews and positive behavior intention of golf app, which means that all three steps of mediation causality analysis were statistically significant. Conclusions: The present research concludes that the correct utilization of innovation in the design and implementation of the technology features translates into performance excellence. The model can be used to increase the online presence through innovation as a primary drive toward providing more convenience and accessibility to the users through mobile golf apps.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.147-152
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• 2020

The purpose of this study was to develop an auxiliary device useful for promoting continued participation in the golf among young golfers and female beginner-level golfers who were gradually increasing in number but often losing interest in the golf and gave up playing golf due to difficulty with posture, boredom from golf itself, slow improvement of skill, etc., in the process of learning the golf. For that, a hardware device fitted with various sensors was attached to the lower part of golf club grip to develop a platform capable of collecting and transmitting the data on each golfer's swing posture, driving distance, etc. If a smartphone app, which can analyze and store those data, is developed and synchronized, each golfer's postures can be identified and golfers can correct the posture on their own. Moreover, the smartphone app provides the contents for self-comparison and comparison with others and will be able to infuse the beginner-level golfers with internal motivation for continued participation in the golfing exercise if the game-type elements are added.

• Journal of the Korean Applied Science and Technology
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• v.38 no.5
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• pp.1255-1264
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• 2021

This study explores the application services recognized by golfers by applying the causal relationship (SEM) to the degree of immersion and consumption behavior of the characteristics of the golf application (App) perceived by consumers in the COVID-19 environment based on the COVID-19 Afterwards, it was intended to provide basic data for predicting the golf industry. For this, a total of 235 people were analyzed using a mobile survey (URL) by the sampling plan from June 1 to August 10, 2021. The results were derived. First, the hypothesis was adopted that the mobility and reliability characteristics of the application had a statistically significant positive (+) effect on the immersion enhancement. First, the hypothesis was adopted that the enhancement of commitment had a statistically significant positive (+) effect on consumption behavior. Finally, it was hypothesized that the informational and mobility characteristics of the application had a statistically significant positive (+) effect on consumption behavior.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.21-27
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• 2023

This paper is a study on the development of an app that assists in putting alignment in golf. The proposed app measures the position and size of the hole cup on the green to provide the distance between the hole cup and the aiming point. To achieve this, artificial intelligence object recognition technology was applied in the development process. The app measures the position and size of the hole cup in real-time using object recognition technology on the camera image of the smartphone. The app then displays the distance between the aiming point and the hole cup on the camera image to assist in putting alignment. The proposed app was developed for iOS on the iPhone. Performance testing of the developed app showed that it could sufficiently recognize the hole cup in real-time and accurately display the distance to provide helpful information for putting alignment.

• 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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.6
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• pp.1481-1487
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• 2014

Recently, with the popularization of smartphones, augmented reality has become even more familiar to the public as an application that can provide realistic images as a tool for location-based services. Therefore, as a location-based application for smartphones that is appropriate for the application of augmented reality technology, the study develops a golf information system. Golf is the sport for which we should exactly know the accurate shape or distance to the destinations or obstacles, so the sport is suitable for applying the augmented reality technology. Even though the sport of golf has constantly increasing population to play it with the popularization of it, presently released golf-related smartphone apps are established as 2D images or in GPS basis; thus, they lack a sense of realism unfortunately. Thereupon, this study develops a golf information system by modifying and complementing usefully Mixare, the open source for augmented reality, for the sport of golf into an augmented reality-based system that can provide various information according to the actual environment of the golf course and describes how to apply it actually to the golf course.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1433-1442
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• 2018

This study develops and improves the EZ Touch App of the scorecard application (app) using the smartphone and the pad, and works with the customer management system (C/S). The research was conducted as follows. First, how do you handle the EZ Touch input method on a scorecard? Second, how to configure the platform of customer (member) management system (C/S) and data server system? Third, does EZ Touch App work organically with customer management system (C/S)? The developed EZ Touch is entered into the scorecard as an input method using the gesture as a result of this research, and it is linked with the C/S system to organize the review function, hall information function, field coaching function through score, It can be used for applications such as information management functions and statistics through differentiated statistics. However, there are some problems and improvements in user convenience in real time use. I think there is a need to study to solve this problem in the future. EZ Touch input method is input to the scorecard by inputting gesture of the finger as a result of this study, and it is linked with this, and it is possible to use differentiated statistics such as review function, hall information function, field coaching function, It is the purpose of the study to improve the technical competitiveness of the product by developing the application.

• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.285-292
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• 2008

This study was initiated to evaluate the Phosphorus(P) leaching potential in the putting green soils and P uptake by the turfgrass in the golf course using the P fertilizers. The turfgrass, Floradwarf bermudagrass(Cynodon dactylon L. PERS,) was planted and grown in the mixture of sand and peat moss in this lysimeter study. Five representative P fertilizers, such as, ammonium polyphosphate (APP), monopotassium phosphate (MKP), MAP(monoammonium phosphate), 0-20-20(liquid), and concentrated superphosphate(CSP, solid) were used in this study. Based on the total P quantity of leachate collected during the whole 12 weeks, MKP and APP are the first group of P fertilizers contributing to the leaching of P, then MAP and 0-20-20 are the second group of P fertilizers causing the P leaching. Finally, CSP is the third group of P fertilizer resulting in the P leaching. However, most of P applied and collected in the lysimeter were leached during the first period of two and four weeks, compared to that of P leached during the second period of six, eight, ten, and twelve weeks. Applications of MAP, APP and CSP, MKP and 0-20-20 in order produced the largest amount of total dry matter. However, APP, MKP and MAP, CSP and 0-20-20 in order showed the largest amount of P uptake. Therefore, based on the data of P leaching, dry matter production, and plant P uptake, it appears that CSP, 0-20-20, and MAP are the environmentally sound fertilizers recommended in the turfgrass putting green soil of golf course.