• Journal of radiological science and technology
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• v.44 no.6
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• pp.679-688
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• 2021

This study is a questionnaire about the lesson environment that radiation major students prefer in a non-face-to-face live online lesson environment for a total of 133 students, 65 second graders and 68 third graders who are enrolled in the department of radiology at a university located in the Seoul metropolitan area. And checked the satisfactory level by grade. The questionnaire consists of three categories: 1st real-time non-face-to-face lectures, 2nd professor lectures, and 3rd corona lectures. A total of 14 questions, with multiple choice and descriptive response methods. As an evaluation method, in the case of a multiple-choice question, the average was calculated using a 5-point Likert scale. As a result of conducting the independent sample T-test of the SPSS program, the response by grade was P > 0.05, and no significant result was shown by the contents of the questionnaire survey of the second grade. As for the lecture method of the department of radiology after the end of Covid-19 virus, it is better to promote face-to-face lessons in radiation training subjects and non-face-to-face real-time education in subjects centered on radiation theory.

• Journal of muscle and joint health
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• v.29 no.1
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• pp.28-40
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• 2022

Purpose: The purpose of this study is to reduce loneliness through a systematic review by analyzing the effectiveness, composition and method of non-face-to-face services on the elderly living in the local community. Methods: From June 11 to 15, 2021, related papers were searched using six databases: Ovid-Medline, Ovid-Embase, Cochrane library, KISS, Koreamed, and RISS. Two authors independently assessed the quality of selected studies and data was synthesized. Results: Non-face-to-face services promoted loneliness and social isolation, social support and quality of life, other emotional responses, attitudes and usability, and diet and exercise. As the composition and method of services are being tried in various ways, it is necessary to develop a comprehensive service using ICT to provide systematic intervention to the elderly in the local community. Conclusion: Reflecting the difficulties in implementing face-to-face services due to COVID-19, it is expected to be used as basic data for developing comprehensive non-face-to-face services that meet the major needs of the elderly people and maintain the continuity of care.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.3
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• pp.1-9
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• 2022

In this study we conducted a research regarding the effect on learning immersion and perception of the learning environment by learning presence of students in the Department of aeronautical science and flight operation in the context of non-face-to-face lectures caused by COVID-19. The relationship between learning presence (cognitive presence, emotional presence, and social presence) and learning commitment showed a high correlation. The learning immersion was also found to increase when cognitive presence, emotional presence, and social presence increased in multiple regression analysis to find out the effects of cognitive presence, emotional presence, and social presence, which are sub-factors of learning presence. The advantage of non-face-to-face classes was to be the ease of learning, and the disadvantage of non-face-to-face classes was the most difficulty of the learning process in the content analysis of the non-face-to-face class environment.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.2
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• pp.353-362
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• 2023

Messenger phishing, communications frauds crime, exploits remote control of smartphones and non-face-to-face financial transactions, causing property damage due to money transfers, as well as account opening and loans in the name of victims. Such financial accidents may be careless of victims, but the current messenger phishing criminal method is intelligent and can be seen as digging into loopholes in the non-face-to-face user verification process. In this paper we analyze how messenger phishing uses loopholes in user identification procedures in non-face-to-face financial transactions. Through experiments, it is suggested to improve the non-face-to-face verification process for safer financial transactions.

• Journal of Korean Clinical Health Science
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• v.11 no.1
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• pp.1607-1615
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• 2023

purpose: In addition to evaluating the quality of sleep of college students, the effect on non-face-to-face online learning satisfaction is identified and used as basic data for improving the quality of remote lectures. Methods: From June 1 to June 24, 2022, a self-entry survey was conducted on students enrolled in the dental hygiene department of D University in Daegu. To evaluate the non-face-to-face online learning satisfaction and sleep quality of the study subjects using the lBM SPSS Statistics 21 program, ANOVA analysis was conducted on the difference between individual stress levels and non-face-to-face online learning satisfaction. The correlation between sleep quality, stress, and non-face-to-face online learning satisfaction was analyzed using Pearson's correlation coefficient. Results: The lower the quality of sleep, the higher the stress, resulting in statistically significant results (p<0.001). The higher the quality of sleep, the higher the learning satisfaction, resulting in statistically significant results (p<0.001). There was a statistically significant positive correlation between learning satisfaction and stress (r=0.591, p<0.01). Conciussions: Through the above results, in order to improve the satisfaction of non-face-to-face online learning, it is necessary to manage the individual's learning environment and health to relieve stress. Instructors also need to communicate with learners and apply teaching methods considering learners' academic abilities.

• The Journal of Korean Society for School & Community Health Education
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• v.20 no.3
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• pp.123-134
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• 2019

Objectives: The purpose of this study is to identify the problems of verbal violence that adolescents face in the post-human age, when the non-face-to-face media is increasing. Methods: A survey was conducted on 305 adolescents, aged 14 to 16 years of middle school and high school students. The data were analyzed with the SPSS 25.0. Results: As a result of conducting multiple regression analysis to identify the type of conversation that affects verbal abuse of adolescents, a model with a conversation with family, conversation with other people, messenger conversation such as KakaoTalk, and video chat conversation was selected. The amount of explanation was 11.4%. (R2 = .114) Of these, non-face-to-face conversations have been shown to increase verbal violence, and face-to-face conversations with family have, in turn, lowered the risk. As a result of t-testing to examine the effect of verbal abuse experience on the verbal violence index, the damage experience was significant in depression (p = .042) and impulsive aggression (p = .021). (P = .000). Conclusion: This study reiterates the importance of family dialogue along with the fact that the development of various non-face-to-face media in the Fourth Industrial Revolution can have a negative impact on adolescent mental health.

• Journal of Korea Multimedia Society
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• v.10 no.12
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• pp.1566-1576
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• 2007

Camera pose information from 2D face image is very important for making virtual 3D face model synchronize with the real face. It is also very important for any other uses such as: human computer interface, 3D object estimation, automatic camera control etc. In this paper, we have presented a camera position determination algorithm from a single 2D face image using the relationship between mouth position information and face region boundary information. Our algorithm first corrects the color bias by a lighting compensation algorithm, then we nonlinearly transformed the image into $YC_bC_r$ color space and use the visible chrominance feature of face in this color space to detect human face region. And then for face candidate, use the nearly reversed relationship information between $C_b\;and\;C_r$ cluster of face feature to detect mouth position. And then we use the geometrical relationship between mouth position information and face region boundary information to determine rotation angles in both x-axis and y-axis of camera position and use the relationship between face region size information and Camera-Face distance information to determine the camera-face distance. Experimental results demonstrate the validity of our algorithm and the correct determination rate is accredited for applying it into practice.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.89-96
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• 2010

In this paper, we proposed a method about improving face tracking efficiency of face detection for AF system using the faces to the ROI. The conventional face detection system detecting faces based skin color uses the ratio of skin pixels of the present frame to detected face regions of the past frame to track the faces. The tracking method is superior in the stability of the regions but it is inferior in the face tracking efficiency. We proposed a face tracking method using the area of the overlapping region in the detected face regions of the past frame and the present frame to improve the tracking efficiency. The proposed face tracking efficiency demonstration was performed by making a film of face detection with face tracking in real-time and using the moving traces of the detected faces.

• Journal of KIISE:Software and Applications
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• v.32 no.12
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• pp.1247-1259
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• 2005

This paper proposes a real-time face recognition system which detects multiple faces from low resolution video such as web-camera video. Face recognition system consists of the face detection step and the face classification step. At First, it finds face region candidates by using AdaBoost based object detection method which have fast speed and robust performance. It generates reduced feature vector for each face region candidate by using principle component analysis. At Second, Face classification used Principle Component Analysis and multi-SVM. Experimental result shows that the proposed method achieves real-time face detection and face recognition from low resolution video. Additionally, We implement the auto-tracking face recognition system using the Pan-Tilt Web-camera and radio On/Off digital door-lock system with face recognition system.

• Journal of Sasang Constitutional Medicine
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• v.18 no.3
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• pp.57-63
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• 2006

1. Objectives The Face is an important standard for the classification of Sasang Contitutions. Now We are developing 3D Face Automatic Recognition Apparatus to analyse the facial characteristics. This apparatus show us 3D image of man's face and measure facial figure. We should examine accuracy of position recognition in 3D Face Automatic Recognition Apparatus. 2. Methods We took a photograph of Face status with Land Mark 8 times using Face Automatic Recognition Apparatus. Each taking-photo, We span Face statusby 10 degree. At last time, We took a photograph of Face status's lateral face. And We analysed Error Averige of Distance between seven Land Marks. So We examined the accuracy of position recognition in 3D Face Automatic Recognition Apparatus at indirectly in degree changing of Face status. 3. Results and Conclusions According to degree change of Face status, Error Averige of Distance between Seven Land Marks is 0.1848mm. In conclusion, We assessed that accuracy of position recognition in 3D Face Automatic Recognition Apparatus is considerably good in spite of degree changing of Face status