• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.25-32
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• 2020

Currently, Korean museums use gamification in addition to various viewing methods, such as video and VR/AR. However, museums using museum gamification are still progressing to a special program level. The purpose of this paper is to make the contents of the museum easy to understand and to give the viewers fun. This paper goes beyond the existing museum gamification and proposes a museum story gamification that combines story elements with gamification. This proposal system collects information from each museum in cooperation with museums, art galleries, and exhibition halls and proceeds with related story games. Museum Story Gamification provides related stories according to the theme of the museum and allows viewers to select their own stories. Also, based on the story, you can directly select the difficulty level that suits you and play a personalized game. Unlike the general museum program, the methodology proposed in this paper allows visitors to experience the museum with various story contents. In addition, it will contribute to the development and implementation of programs with gamification in other tourism fields as well as museums.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.225-234
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• 2021

This research aimed to investigate the key factors affecting student satisfaction and loyalty in selected private universities in Cambodia. The study implemented a quantitative survey designed and guided by seven hypotheses to test the causal relationships among variables, such as academic experience, faculty services, campus life, social integration, student support facilities, student satisfaction, university image, and student loyalty. The research applied a multi-stage sampling technique of probability procedures to guarantee the presence of the research population. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were applied for data analysis to test the hypotheses model. The collected survey totaled 543 from three universities. The purposive sampling methods were used to select the three target universities, based on their reputation, the number of students, year of establishment, and the recognition from the Ministry of Education, Youth, and Sport. The stratified random sampling method was employed to select target respondents for data collection by dividing the population into subgroups to ensure a random sample. The results showed that student support facilities, campus life, and social integration, faculty services, and university image play very important roles in the satisfaction and loyalty of the students in three universities.

• 대한두개안면성형외과학회지
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• 제22권3호
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• pp.164-167
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• 2021

Reconstruction of lip defects is important because the lips play an important role in maintaining aesthetic facial balance, facial expressions, and speech. There are various methods of lip reconstruction such as primary repair, skin grafting, and utilization of local and free flaps. It is important to select a proper reconstruction method according to the size and location of lip defect. Failure to select an appropriate method may result in distortion, color mismatch, sensory loss, and aesthetic imbalance. Herein we present a case of successful aesthetic reconstruction of the lower vermilion. We removed a venous malformation, which was limited to the lower vermilion and adjacent to the white roll, and repaired the defect using the modified O-Z flap.

• 대한의용생체공학회:의공학회지
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• 제43권3호
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• pp.131-135
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• 2022

Due to COVID-19, Correct method of wearing mask is important to prevent COVID-19 and the other respiratory tract infections. And the deep learning technology in the image processing has been developed. The purpose of this study is to create the type of mask wearing dataset for deep learning models and select the deep learning model to detect the wearing mask correctly. The Image dataset is the 2,296 images acquired using a web crawler. Deep learning classification models provided by tensorflow are used to validate the dataset. And Object detection deep learning model YOLOs are used to select the detection deep learning model to detect the wearing mask correctly. In this process, this paper proposes to validate the type of mask wearing datasets and YOLOv5 is the effective model to detect the type of mask wearing. The experimental results show that reliable dataset is acquired and the YOLOv5 model effectively recognize type of mask wearing.

• Physical Therapy Rehabilitation Science
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• 제11권2호
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• pp.154-164
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• 2022

Objective: The purpose of this study is to select a cognitive training game that can evaluate five cognitive domains and to study their validity with existing cognitive evaluation tools. Design: Methods: Delphi survey was conducted through the 2nd questionnaire for 30 experts to select games suitable for training 5 cognitive domains. Five cognitive training games and Mini Mental State Examination - Korea(MMSE-K), and cognitive impairment screening test(CIST) were conducted for 82 elderly in the community. Pearson correlation analysis was performed to find out the correlation of the three tests. The ROC curve was used to calculate the selection criteria for the game results for the screening evaluation of the presence or absence of mild cognitive impairment. Results: The coefficient of variation to evaluate the stability of the Delphi survey was less than 0.50 in most game items. The 'correct answers' and 'level' of the five final selected game items showed a statistically significant positive correlation with the CIST and MMSE-K scores. CIST score and 'time' of all game items except 'number making_time' showed a statistically significant negative correlation. Conclusions: The validity of the cognitive training program using smart devices was evaluated, and the criteria for classifying the cognitive domain and distinguishing the presence or absence of cognitive impairment were confirmed.

• 한국정보시스템학회지:정보시스템연구
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• 제31권4호
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• pp.47-73
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• 2022

Purpose The purpose of this study is to select the electronic architecture concept of the powertrain domain of the electronic platform to be applied to electric vehicles after 2025. Previously, the automotive electrical and electronic architecture was determined only by trend analysis, but the purpose was to determine the scenario based on the data and select it with clear evaluation indicators. Design/methodology/approach This study identified the function to be applied to the powertrain domain of next-generation electric vehicle, estimated the controller, defined the function feature list, organized the scenario candidates with the controller list and function feature list, and selected the final architecture scenario. Findings According to the research results, the powertrain domain of electric vehicles was selected as the architectural concept to apply the DCU (Domain Control Unit) and VCU (Vehicle Control Unit) integrated architecture to next-generation electric vehicles. Although it is disadvantageous or equivalent in terms of cost, it was found to be excellent in most indicators such as stability, security, and hardware demand.

• 한국기계가공학회지
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• 제21권2호
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• pp.137-143
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• 2022

Composite materials, being light-weight and of high mechanical strength, are increasingly used in various industries such as the aerospace, automobile, sporting-goods manufacturing, and ship-building industries. Recently, manufacturing of composite materials using 3D printers has increased. 3D-printed composite materials are made in free-form and adapted for end-use by adjusting the fiber content and orientation. However, research on the machining of 3D printed composite materials is limited. The aim of this study is to develop a machine learning method to select machining conditions for machining of 3D-printed composite materials. The composite material was composed of Onyx and carbon fibers and stacked sequentially. The experiments were performed using the following machining conditions: spindle speed, feed rate, depth of cut, and machining direction. Cutting forces of the different machining conditions were measured by milling the composite materials. PCA, a method of machine learning, was developed to select the machining conditions and will be used in subsequent experiments under various machining conditions.

• International Journal of Knowledge Content Development & Technology
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• 제13권2호
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• pp.23-35
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• 2023

Word templates exist for select journals, and their primary objective is to facilitate submissions to those journals, thereby optimizing editors' and publishers' time and resources by ensuring that the desired style (e.g., of sections, references, etc.) is followed. However, if multiple unrelated authors use the exact same template, a risk exists that some text might be erroneously cloned if template-based papers are not carefully screened by authors, journal editors or proof copyeditors. Elsevier Procedia® was used as an example. Select cloned text, presumably derived from MS Word templates used for submissions to Elsevier Procedia® journals, was assessed using Science Direct. Typically, in academic publishing, identical text is screened using text similarity software during the submission process, and if detected, may be flagged as plagiarism. After searching for "heading should be left justified, bold, with the first letter capitalized", 44 Elsevier Procedia® papers were found to be positive for vestigial template text. The integrity of the information in these papers has been compromised, so these errors should be corrected with an erratum, or in the case of extensive errors and vast tracts (e.g., pages long) of template text, papers should be retracted and republished.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.181-182
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• 2021

Selecting a proper tile cement for ceramic tile is important to secure tile construction quality. But there is some ambiguity in standards about evaluating adhesion test such as using KS L 1593 in Lab test but using KS L 1592 in site. So, this study aims to how to select proper tile cement for securing adhesion strength in site considering both tensile and shear adhesion strength of cement for ceramic tile. Also, when doing tensile adhesion test in site, there may be adhesion drop because of cutting tile with grinder. As a result, drop of adhesion strength is about 9% ans quality manager consider these factor and should select proper tile cement.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.36-41
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• 2013

With the increased interest in green buildings, the building industry has been experiencing a fast-growing demand for LEED (Leadership in Energy and Environmental Design) certification for the last decade. Still, it is not unusual to see various barriers and issues during its implementation, and experience tells that they can result in harming the overall project performance with reworks, lower productivity, schedule delays, and cost overruns. In order to better understand the industry's observation on issues and their consequences during LEED implementation, we distributed an online survey, and a total of 53 responses were received. The survey results indicate that (1) both designers and non-designers (e.g., contractors) select 'added costs to design and construction' as the biggest barrier; (2) both designers and non-designers select 'decision made too late in the design process' as the most frequently observed issue; and (3) non-designers indicate higher perceived severity in every consequence criteria than designers. The statistical analyses reveal that cost overruns are the most severe impact observed and have a statistically significant relationship with responses in regard to the barrier to LEED implementation.