• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.143-155
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• 2021

The purpose of this study is to adopt qualitative research methods for alpine snowboard athlete to analyze their injury factors in depth from a psychological perspective. Therefore, in-depth interviews were conducted on four outstanding Alpine Snowboard athlete, and the results were as follows. Among the factors of the injury of Alpine snowboard athlete, the psychological point of view was derived from five factors: 'Trait Anxiety', 'Personality Characteristic', 'Expectancies of Significant Others, 'Discrepancy between ability and expectation' and 'Trauma Injuries'. The five psychological injury factors have expressed the raw data of the subject in a case-oriented manner, and empirical and field-oriented interview data will enable in-depth analysis of psychological factors related to injury to future Alpine snowboard athlete and coaches. It is expected to be used as a basis for injury prevention and countermeasures. All data can be used as a basis for positive effects on the quality of life of athletes and athletes in winter sports.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.369-377
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• 2021

Augmented reality smart-glass enables healthcare providers to use patient and their care related information without interference of workflow. In addition, augmented reality smart-glass simulation had advantages in improving competency via remote collaboration and real-time information sharing. This study investigated perception and attitude regarding augmented reality smart glass based healthcare simulation on three different groups of healthcare major students, computer major students, developers and faculties. Using convenience sampling method, data were obtained from 95 participants and statistical analysis were performed using SPSS 25.0. Developer and faculty group showed the highest scores, followed by healthcare major students. There was the high expectation on augmented reality smart-glass for skill acquisition and the high performance and big screen were essential features of device. The findings of this study revealed that differences between healthcare and computer major students exist and strategies to reduce those gaps are required to adopt augmented reality smart glass in healthcare settings.

• Smart Media Journal
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• v.9 no.4
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• pp.81-90
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• 2020

Due to the recent economic development and the improvement of income level in China, the desire for quality medical services is increasing compared to the past. As an alternative to satisfy these needs, various applications using smart phones and the like are being developed. The new corona that occurred in December 2019 began to show great interest in non-face-to-face telemedicine services using smart phones due to the worldwide spread of the coronavirus. Therefore, in this study, a total of 200 people were surveyed on the top three mobile medical applications in China, and the data of 120 people who actually used medical applications were analyzed based on Venkatesh's UTAUT2 theory. A study was conducted on the intent to use and the factors affecting the in-law behavior. First, it has become clear that the interactive characteristics, expectations for effort, price value, interest in privacy, habits, and promotional conditions have a positive impact on the user's use. Second, it was investigated that the user's intention to use influences the behavior of use, and among the intentions of use, it was found that the mobilization characteristic expectation, hedonistic motivation, price value, habits, and promotion conditions affect the use behavior. Third, a study result was derived that the controlling variables such as gender, age, school age, and annual income do not affect the user's intention to use mobile medical applications as a controlling variable. Finally, due to the nature of mobile devices that use the Internet, various security vulnerabilities exist, and this can cause great damage or personal and social impact. Therefore, for the development of mobile medical services in China, it is necessary to re-establish a research model through comprehensive and in-depth considerations to supplement these problems in the future.

• Journal of the Korean Society for information Management
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• v.38 no.1
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• pp.243-262
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• 2021

The present study aims to identify the factors that affect the continuous use and discontinuance of the hospital information seeking applications(hospital apps thereafter) by employing the post acceptance model. The surveys were conducted with people who used the hospital apps from October 11 to 18, 2019. Researchers collected 125 valid data and analyzed them by using the structural equation model. The study found that the satisfaction and confirmation of expectation for the hospital apps users had significant effects on intention for continuous use and perceived usefulness, respectively. However, the perceived usefulness did not have a significant effect on the intention for continue use. The present study has identified the variables that influence the continuous use of these innovative technologies. The findings of the study confirmed the post acceptance model by observing the adoption and use of the hospital apps and extended the literature of the post acceptance model by discussing the unique characteristics of the hospital apps that satisfy the urgent help-seekers under emergency situations or the information needs emphasizing promptness. In addition, based on the benefits and limitations of hospital apps reported by consumers, the study provided practical implications for designing more user-friendly apps to hospital app developers or managers.

• Journal of Dental Rehabilitation and Applied Science
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• v.37 no.4
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• pp.186-198
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• 2021

As the increased certainty of osseointegration, new parameters are now being used to assess implant success. Accordingly, patients' and clinicians' high demands and expectation for esthetics have expanded and implant-supported restorations show better esthetic outcomes. The pre-implant treatment planning process, the implant surgical steps and the post-surgery prosthetic process can affect all esthetic outcomes. Prevention of esthetic implant failures can be achieved by appropriate treatment at each stage, considering the 3 factors of alveolar bone, soft tissue, and implants. It is necessary to achieve the esthetic implant prostheses followings: minimal invasive surgery, bone augmentation, ideal 3-dimensional implant position, peri-implant soft tissue management, and provisional restorations to optimize peri-implant soft tissue architecture.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1573-1579
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• 2022

The irrigation schedule system using early detection of crop water stress is required to maintain crop production and save water resource. However, because previous studies focused on the crop under stress dominant condition, the crop physiological properties, which can be measured by remote sensing technique, on early crop water stress condition are not well known. In this study, the canopy temperature, MERIS Terrestrial Chlorophyll Index (MTCI), and Chlorophyll/Carotenoid Index (CCI) are observed on the soybeans given the early water stress using thermal imaging camera and hyperspectral camera. The increased canopy temperature and decreased MTCI are consist with the previous studies which are for the crop of stress dominant-sign. However, the CCI was increased contrary to expectation because it may faster the reduction of carotenoid than chlorophyll in early stage. These behaviors will be useful to not only develop the irrigation system but also using the early detection of crop stress.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.10
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• pp.1423-1431
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• 2022

Volatility is one of the variables that the Black-Scholes model requires for option pricing. It is an unknown variable at the present time, however, since the option price can be observed in the market, implied volatility can be derived from the price of an option at any given point in time and can represent the market's expectation of future volatility. Although volatility in the Black-Scholes model is constant, when calculating implied volatility, it is common to observe a volatility smile which shows that the implied volatility is different depending on the strike prices. We implement supervised learning to target implied volatility by adding V-KOSPI to ease volatility smile. We examine the estimation performance of KOSPI200 index options' implied volatility using various Machine Learning algorithms such as Linear Regression, Tree, Support Vector Machine, KNN and Deep Neural Network. The training accuracy was the highest(99.9%) in Decision Tree model and test accuracy was the highest(96.9%) in Random Forest model.

• Journal of the Korean Orthopaedic Association
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• v.55 no.2
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• pp.117-126
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• 2020

Total knee arthroplasty is performed widely in degenerative arthritis of the knee joint, and the frequency of use is increasing. Efforts should be made to achieve functional recovery, such as returning to daily life, and the recovery of strength and range of motion after surgery. The procedure should be approached from a range of perspectives, such as patient factors, surgical technique and rehabilitation. The patient's age, degree of obesity, sex, and strength of the quadriceps muscle can affect the functional recovery after surgery. In addition, the patient's mental state, such as expectation value and satisfaction, can also have an effect. For functional recovery, patient education, pain control, and strengthening of the quadriceps muscle can be performed prior to surgery. Postoperative physiotherapy, such as icing and compression, transcutaneous electrical nerve stimulation therapy, neuromuscular electrical stimulation therapy, low frequency low intensity magnetic field therapy, strengthening of quadriceps muscle, and range of motion exercise can also be applied. In recent years, hydrotherapy, which restores the strength and balance of the leg, is being performed increasingly. These treatments are not only performed shortly after surgery, but are also performed continuously. In addition, the surgeon should apply it appropriately considering the patient's condition, compliance, and social and psychological conditions.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.23-33
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• 2022

The study was conducted to develop an implementation model for digital transformation (DX) of manufacturing companies. To this end, previous studies on the process of management innovation and digital transformation were reviewed. The DX process model was derived based on the NEBIC theory and innovation theory applied in the innovation process of the Internet business. In addition, a research model including the factors of the will of the top management class (TMT) was constructed and confirmed through empirical data. The research hypothesis were verified based on data collected from members of mid-sized manufacturing companies promoting digital transformation. Through regression analysis, the influence relationship of each stage of the research model (technical knowledge, TK → opportunity perception, OR → performace expectation, PE and → Intention to execute, IE) was confirmed. Hierarchical regression analysis was conducted to understand the mediating effect of the members' perception of the top management's willingness to promote DX in the process. As a result of checking the Sobel test, it was confirmed that the management's perception of DX promotion partially mediated the relationship at each stage. This study is meaningful in that it presented a model applicable to the digital transformation of the mid-sized manufacturing industry. It is also valuable in providing an empirical basis for innovative research and NEBIC expansion. Longitudinal studies are required to overcome the limitations of empirical data for process models with dynamic characteristics whereas extended empirical studies are required in various fields other than manufacturing to generalize research results.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.116-131
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• 2022

With the recent progress of the 4th industrial revolution, the logistics industry is also making efforts to introduce smart logistics, and various attempts are being made to spread logistics informatization, which is the core of smart logistics. Among these, blockchain technology is considered as a technology that will contribute to the spread of logistics informatization and is being applied to various fields. Accordingly, in this study, to discuss the applicability of blockchain technology to the logistics industry, the characteristics of blockchain technology were defined, related cases were reviewed, and a survey was conducted on the possibility of application in the industry. Blockchain technology can be defined as having the characteristics of economic feasibility, speed, transparency in terms of work efficiency, and scalability, decentralization (decentralization), reliability (security) in terms of added value creation. It was confirmed that many are being introduced in the fields of distribution, finance, personal information, and public services. As a result of the survey on the logistics industry, it was confirmed that the level of informatization of the logistics industry had entered the stage of generating profits by using information, but the industry was passive in sharing and utilizing information due to concerns about information leakage. Nevertheless, the awareness and expectation of the need for informatization is high, and it is expected that the informatization of the logistics industry and realizing smart logistics based on it will advance one step further with the introduction of blockchain technology in the future.