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pISSN : 1598-849X / eISSN : 2383-9945

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2021, Vol.26, No.5

  • 1.

    Adaptive Face Mask Detection System based on Scene Complexity Analysis

    Jaeyong Kang , Jeonghwan Gwak | 2021, 26(5) | pp.1~8 | number of Cited : 0
    Abstract PDF
    Coronavirus disease 2019 (COVID-19) has affected the world seriously. Every person is required for wearing a mask properly in a public area to prevent spreading the virus. However, many people are not wearing a mask properly. In this paper, we propose an efficient mask detection system. In our proposed system, we first detect the faces of input images using YOLOv5 and classify them as the one of three scene complexity classes (Simple, Moderate, and Complex) based on the number of detected faces. After that, the image is fed into the Faster-RCNN with the one of three ResNet (ResNet-18, 50, and 101) as backbone network depending on the scene complexity for detecting the face area and identifying whether the person is wearing the mask properly or not. We evaluated our proposed system using public mask detection datasets. The results show that our proposed system outperforms other models.
  • 2.

    Design of an Exploration Drone for Digital Twin based Building Control

    Shin Sang Hoon , Park Myeong Chul | 2021, 26(5) | pp.9~16 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a building exploration drone that can be used for a digital twin-based building control system. The existing building control system using a fixed position sensor box has a problem that a management blind spot occurs. And because people patrol themselves, it takes a lot of human resources. In this paper, a drone equipped with a temperature and humidity sensor and a gas leak detection sensor is used to search the internal path of the building centering on the control blind spot. It also aims to solve the problem of the building control system by transmitting information in real time along with the video. In addition, it has a stable hovering function using an optical floor sensor and can be applied to an existing digital twin-based building control system. The results of this study are believed to be of great help in improving the quality of digital twin control systems using drones.
  • 3.

    A Study on the Processing Method of pseudonym information considering the scope of data usage

    Min Youn A | 2021, 26(5) | pp.17~22 | number of Cited : 0
    Abstract PDF
    With the application of the Data 3 method, the scope of the use of pseudonym information has expanded. In the case of pseudonym information, a specific individual can be identified by linking and combining with various data, and personal information may be leaked due to incorrect use of the pseudonym information. In this paper, we propose the scope of use of data is subdivided and a differentiated pseudonym information processing method according to the scope. For the study, the formula was modified by using zero-knowledge proof among the pseudonym information processing methods, and when the proposed formula was applied, it was confirmed that the performance improved by an average of 10% in terms of verification time compared to the case of applying the formula of the existing zero-knowledge proof.
  • 4.

    Extended Reality-based Simultaneous Multi Presence for Remote Cooperative Work

    Jun Lee , Sung-Jun Park | 2021, 26(5) | pp.23~30 | number of Cited : 2
    Abstract PDF
    In this paper, we propose an extended reality-based simultaneous multi presence system in a process of remote cooperative work. The proposed system generates a ring-shaped invisible screen which surrounds a user, and it provides position and manipulation of remote workspace and personal workspace. With the proposed system, the user easily navigates the several workspace for the remote collaboration or he/she selects a specific space for immersion. The proposed system also provides manipulation of personal workspace for the user during the remote cooperative work. We conducted a user study to prove effectiveness of the proposed system. According to the results, the proposed system increased understanding spatial information and usage of time during the remote cooperative work.
  • 5.

    An Empirical Analysis on the UX in VR Application of Artworks: A Case Study on <Mona Lisa: Beyond the Glass>

    Ji-Su Kang , Hanna No , Boa-A Rhee | 2021, 26(5) | pp.31~38 | number of Cited : 0
    Abstract PDF
    This study empirically investigated the user’s experience with <Mona Lisa: Beyond the glass> based on the Technology Acceptance Model. According to the frequency analysis results, the usability for learning was evaluated relatively higher than that for appreciation from the perspective of perceived usefulness and the technical factors such as graphics and modeling raised the issue for the quality improvement. According to the results of the correlation analysis, the usability for learning correlated with the degree of satisfaction. In addition, all detailed factors of perceived ease of use positively influenced on the degree of satisfaction and the impact of the environmental factor on the degree of satisfaction was greatest. The degree of satisfaction with the VR application significantly correlated with the degree of immersion and behavioral intention to the VR application. Therefore, this study proved the suitability for the Technology Acceptance Model as a tool for evaluating a VR application.
  • 6.

    A Text Content Classification Using LSTM For Objective Category Classification

    Young-Dan Noh , Kyu-Cheol Cho | 2021, 26(5) | pp.39~46 | number of Cited : 0
    Abstract PDF
    AI is deeply applied to various algorithms that assists us, not only daily technologies like translator and Face ID, but also contributing to innumerable fields in industry, due to its dominance. In this research, we provide convenience through AI categorization, extracting the only data that users need, with objective classification, rather than verifying all data to find from the internet, where exists an immense number of contents. In this research, we propose a model using LSTM(Long-Short Term Memory Network), which stands out from text classification, and compare its performance with models of RNN(Recurrent Neural Network) and BiLSTM(Bidirectional LSTM), which is suitable structure for natural language processing. The performance of the three models is compared using measurements of accuracy, precision, and recall. As a result, the LSTM model appears to have the best performance. Therefore, in this research, text classification using LSTM is recommended.
  • 7.

    Applying Different Similarity Measures based on Jaccard Index in Collaborative Filtering

    Soojung Lee | 2021, 26(5) | pp.47~53 | number of Cited : 1
    Abstract PDF
    Sparse ratings data hinder reliable similarity computation between users, which degrades the performance of memory-based collaborative filtering techniques for recommender systems. Many works in the literature have been developed for solving this data sparsity problem, where the most simple and representative ones are the methods of utilizing Jaccard index. This index reflects the number of commonly rated items between two users and is mostly integrated into traditional similarity measures to compute similarity more accurately between the users. However, such integration is very straightforward with no consideration of the degree of data sparsity. This study suggests a novel idea of applying different similarity measures depending on the numeric value of Jaccard index between two users. Performance experiments are conducted to obtain optimal values of the parameters used by the proposed method and evaluate it in comparison with other relevant methods. As a result, the proposed demonstrates the best and comparable performance in prediction and recommendation accuracies.
  • 8.

    The effects of the 4-weeks visual biofeedback training in individuals with hyperextended knee

    Sung-hoon, Jung , Sil-ah Choi , Ha Sung-Min | 2021, 26(5) | pp.55~60 | number of Cited : 0
    Abstract PDF
    This study aims to investigate the effects of 4 weeks visual biofeedback training on the knee joint angle and muscle activities of lower extremity. The participants in this study were 15 volunteers with hyperextended knee. To improve the hyperextended knee, visual biofeedback training was used during 4 weeks. The training is an exercise to maintain the balance between the anterior weight bearing and posterior weight bearing of the plantar foot. The knee joint angle significantly increased and the muscle activity of tibialis anterior was significantly decreased after visual biofeedback training. It was confirmed that visual biofeedback training of correcting hyperextended knee through the information on the plantar pressure distribution has a therapeutic effect.
  • 9.

    Design of Personalized Exercise Data Collection System based on Edge Computing

    Hyon-Chel Jung , Choi Duk Kyu , Park Myeong Chul | 2021, 26(5) | pp.61~68 | number of Cited : 0
    Abstract PDF
    In this paper, we propose an edge computing-based exercise data collection device that can be provided for exercise rehabilitation services. In the existing cloud computing method, when the number of users increases, the throughput of the data center increases, causing a lot of delay. In this paper, we design and implement a device that measures and estimates the position of keypoints of body joints for movement information collected by a 3D camera from the user's side using edge computing and transmits them to the server. This can build a seamless information collection environment without load on the cloud system. The results of this study can be utilized in a personalized rehabilitation exercise coaching system through IoT and edge computing technologies for various users who want exercise rehabilitation.
  • 10.

    The Influence of Job Stress, Job Satisfaction and Organization Communication on Turnover Intention for Dental Hygienists

    Kim Han Hong | 2021, 26(5) | pp.69~76 | number of Cited : 0
    Abstract PDF
    This study was conducted to confirm the relevance of job stress, job satisfaction, organizational communication and turnover intention and to identify the factors that influence turnover intention of dental hygienists. Data were collected from May 2nd to May 17th, 2020, and were conducted for 159 dental hygienists working in dental clinics and clinics. Data were analyzed using IBM SPSS 20.0. As a result of the analysis, there was a positive correlation between turnover intention and job stress, and negative correlation between turnover intention, job satisfaction and organizational communication. After correcting the demographic variables of the subjects, it was found that job stress, job satisfaction, and organizational communication accounted for 35.4% of turnover intention and job stress was found to significantly affect turnover intention. Therefore, it is required to develop and implement a program that helps to reduce job stress that affects job turnover intention.
  • 11.

    A study on the change of total fertility rate in regional level : An analysis using the panel data

    Dokyun Kim | 2021, 26(5) | pp.77~86 | number of Cited : 0
    Abstract PDF
    This study aims at exploring the change of the total fertility rate(TFR) in regional level and analysing what different effects the local labor market and housing market have on the change of TFR. Previous studies have emphasized that the job and housing issues of the youth are structural factors on the decline of TFR. However, considering that youth problem is variant in local level, the relationship of job and housing issues with TFR could be different in local level. This study analyses what effects the situation of local labor market and housing market have on the TFR from 2012 to 2018 in regional level. The result is that the employment and housing factors have different effects on capital areas and non-capital areas. While the high cost of housing has negative effects on TFR in capital areas, it has rather positive effects in non-capital areas. However, labor market variables have statistically insignificant effects on TFR.
  • 12.

    Dental hygienist's leisure activities and job satisfaction

    Mi-Suk Choi | 2021, 26(5) | pp.87~93 | number of Cited : 0
    Abstract PDF
    This study was conducted to identify the relationship between the willingness to leisure activity and job satisfaction of dental hygienists and to suggest the need to expand opportunities for the will to leisure activity. The degree of job satisfaction was 3.84 points, and the willingness to leisure activity was analyzed to prioritize exchange with the community. As a result of the analysis of the correlation between job satisfaction, turnover intention, and willingness to leisure activity, all three items show a strong correlation. If job satisfaction is high, then the willingness to leisure activity is high and the intention to turn over is low, and if the will to leisure activity is high, then job satisfaction is high and turnover intention is low. Results of regression analysis to establish measures to increase job satisfaction, turnover intention (β =-0.551), leisure use (β=0.368), health status (β=0.139), current working years at work (β=0.069), number of patients visiting the hospital during the day (β=-0.056) were analyzed in order of effect. It is judged that there is a need to establish a plan to provide an optimal working environment in consideration of the intention to turnover, leisure activity, health status, working years at work, and the number of patients visiting the hospital during the day.
  • 13.

    Improving Information Service for Earthquake Using Rapid ShakeMap

    Jinsang Hwang , Ok-Kyoon Ha | 2021, 26(5) | pp.95~101 | number of Cited : 0
    Abstract PDF
    In this study, we present how to improve the current seismic disaster information service by utilizing Shake, which can express the effects of earthquakes in the form of isolines. Using ShakeMap software provided by the U.S. Geological Survey, an automated rapid ShakeMap generation system was implemented, and based on this, an earthquake disaster information service improvement model was presented to identify earthquake risk in the form of intensity or peak ground acceleration. In order to verify the feasibility and effectiveness of the improved model, the seismic disaster information service app. was developed and operated on a trial basis in Pohang, Gyeongsangbuk-do. As a result of the operation, it was found that more detailed seismic risk information could be provided by providing information using rapid ShakeMap to induce users' safety behavior more effectively.
  • 14.

    Analysis of Press Articles and Research Trends related to 'University Core Competencies' using Big Data Analysis Methods

    Choong-Hoon Kwon | 2021, 26(5) | pp.103~110 | number of Cited : 2
    Abstract PDF
    The purpose of this study is to check the trend of press articles and research trends in journal papers in the last 10 years, which dealt with the subject of 'university core competencies' with a big data analysis method. The main research methodology of this study applied the BigKinds analysis system and the semantic network analysis methodology. The results are as follows: First, the number of press articles related to university core competencies showed a keyword trend that rapidly increased in December 2014 and the second half of 2020. Related keywords were curriculum, specialization, project group, Ministry of Education, ACE, and competitiveness. Second, the semantic network value between keywords of related research papers showed 554 degree, 18,467 avg. degree, and 0.637 density. The degree of centrality of connection was analyzed in the order of university(1606), competency(1481), core(1349), and core competency(1301). Betweenness centrality was analyzed as core competencies(13.101), university students(13.101), university(13.101), and competencies(13.101). The results of this research are expected to give implications to future research and policy-making, educational program planning and operation, etc. to members of higher education institutions, experts in education policy, and educational scholars.
  • 15.

    HLM analysis of effects of Cultural capital and Social Welfare Expenditures on life satisfaction of the elderly in OECD countries

    Bang Sung A | 2021, 26(5) | pp.111~117 | number of Cited : 0
    Abstract PDF
    The object of this study is through an empirical analysis, how cultural capital at the individual level and social welfare expenditure at the national level affect the life satisfaction of the elderly. In this study method, a Hierarchical Linear Model(HLM) analysis was performed on 3,297 elderly people aged 65 and older and 9 OECD countries. As a result of analysis, first, it was confirmed that life satisfaction and social class had a significant effect. Therefore, in to increase the satisfaction of the life of the elderly, policy and practical intervention measures that can narrow the gap between social classes should be prepared. Second, the old-age pension and survivor's pension had no significant effect on life satisfaction. However, as a result of the interaction, social class has a positive effect on life satisfaction, and it was confirmed that the lower the income inequality, the more positive the life satisfaction was. In conclusion, this implies that both individuals and countries should make efforts to variously increase the life satisfaction of the elderly.
  • 16.

    The Effects of Exercise Program on Pain and Balance ability in Patients with Total Knee Replacement : Meta-analysis

    Se-Ju Park | 2021, 26(5) | pp.119~126 | number of Cited : 0
    Abstract PDF
    This study attempted to systematically and comprehensively analyze individual studies in which exercise program on total knee replacement patients. The electronic database for literature search used the Korean educational Academic Information (RISS), Korean Academic Information (KISS) and Nuri Media (DBPIA). We investigated a prior study of exercise program applied to total knee replacement patients from 2015 to February 2021. For meta-analysis, effect size of each individual study was extracted using R project for Statistical computing version 4.0.3. Rob 2.0 tool, developed by the Cochrane group, was used to evaluate the quality of each individual study. The overall effect size exercise program with pain and balance was 0.99 (95% CI=0.53-1.44), which was significantly different than large effect size (p<0.05). The sub-group for pain was analyzed, for effect size of 0.62 and the effect size of balance scale(timed up and go test) was 1.00. Through these results, it was found that exercise program is an effective exercise for total knee replacement patients, and further research is needs.
  • 17.

    A Study on the Welfare of Single-Person Households by Creating an Aging-Friendly City

    leedn | 2021, 26(5) | pp.127~132 | number of Cited : 0
    Abstract PDF
    Since the World Health Organization proposed guidelines for creating an age-friendly city in 2007, Efforts have been underway to create an age-friendly city to prepare for an aging society around the world. At this point in time, This study shows the local governments that are currently certified as an age-friendly city and the local governments that prepare for certification, improving the welfare level of single-person households for the elderly. For this purpose, Based on the theoretical discussion of elderly-friendly cities and single-person households, the policy implications are reflecting the eight major areas of the development of an aged-friendly city residential, economic, health, leisure and social participation, and for senior citizens in a single household presented policy reflections on four levels. Finally, The Limitations of the Unsurvey on the Actual Conditions of the Elderly in Single Households and future research directions were presented through the survey.
  • 18.

    A Study on the Relationships between Users’ Characteristics and Shopping Site Commitment in Mobile Internet Environment

    Jong-soo Yoon | 2021, 26(5) | pp.133~139 | number of Cited : 0
    Abstract PDF
    While there have been a lots of researches focusing on the commitment to shopping site in online commerce area, few studies suggested the results on the relationships between users’ characteristics including demographic and shopping characteristics and commitment to mobile shopping site. Therefore, this study investigates whether the level of mobile shopping site commitment will vary by users’ characteristics such as gender, age, shopping time, and shopping scale. This study suggests, from the statistical analyses on 230 questionnaires, that there are differences in level of shopping site commitment among the respondents grouped by age, shopping time, and shopping scale except for gender. The study proposes various implications for future research on the management of shopping site commitment in mobile Internet environment.
  • 19.

    A study on the influence of interaction of virtual reality consumption pattern on consumers' purchase intention under the background of VR technology

    Xiao-yin Liu , Jiayu Liu , LIU ZIYANG | 2021, 26(5) | pp.141~148 | number of Cited : 0
    Abstract PDF
    The purpose of this study is to explore the interaction of virtual reality consumption pattern under the background of virtual reality, and the influence of such interaction on consumers' purchase intention. In this paper, we selected three independent variables (including content interaction, function interaction and service interaction) and two mediating variables (including perceived quality and perceived value) to explore the relationship between them and consumers' purchase intention, used SPSS24.0 and AMOS24.0, made the analysis of reliability and validity, constructed the structural equation model, and tested the hypotheses. The findings show that: fourteen hypotheses are all true, and the perceived value of virtual reality has a positive influence on consumers' purchase intention. In addition, we find that the perceived value has a mediating effect in this study.