• Journal of Technologic Dentistry
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• v.43 no.2
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• pp.62-68
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• 2021

Purpose: This study examined the correlations between the satisfaction and effectiveness of practical training and theory lectures under two conditions: face-to-face lectures and non-face-to-face online lectures. Methods: A survey of 436 public health student, whereafter SPSS 20.0 (IBM) was used on the data to conduct frequency, descriptive statistics, and exploratory factor analyses. The Cronbach's α value was estimated in a reliability analysis, and a simple regression analysis was conducted to verify the study hypothesis. Results: It was found that the students preferred pre-recorded lectures online for both practical training and theory, claiming that when compared with face-to-face lectures, these non-face-to-face lectures meant a shorter commute and the ability to repeat the content. However, it was admitted that technical issues such as facilities or access difficulties and lower concentration could be a problem. The hypothesis that course satisfaction affects lecture effectiveness was verified, with both the practical training and theory lectures found to have a statistically significant positive (+) effect. The explanatory power of student satisfaction on the effectiveness of the theory component was slightly higher than that of the practical training component, with the students having more positive perceptions on the necessity of face-to-face lectures in practical training than they did for those in theoretical instruction. Conclusion: Providing non-face-to-face online theory courses and face-to-face practical training courses could increase student satisfaction and lecture effectiveness.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.11
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• pp.137-145
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• 2014

This paper suggests an LDA-based long distance face recognition algorithm for intelligent surveillance system. The existing face recognition algorithm using single distance face image as training images caused a problem that face recognition rate is decreased with increasing distance. The face recognition algorithm using face images by actual distance as training images showed good performance. However, this also causes user inconvenience as it requires the user to move one to five meters in person to acquire face images for initial user registration. In this paper, proposed method is used for training images by using single distance face image to automatically create face images by various distances. The test result showed that the proposed face recognition technique generated better performance by average 16.3% in short distance and 18.0% in long distance than the technique using the existing single distance face image as training. When it was compared with the technique that used face images by distance as training, the performance fell 4.3% on average at a close distance and remained the same at a long distance.

• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.305-320
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• 2021

Due to COVID-19, the education and training environment in vocational competency development has changed significantly. In vocational education and training, where the proportion of face-to-face training is more extensive than in other areas of education, some training courses had no choice but to be converted to online. This study presents a distance training system plan for non-contact vocational training by analyzing the learner's non-contact learning experiences. Non-face-to-face education experiences were investigated for learners of private vocational training institutions, universities, and public higher vocational training institutions. The main contents of the survey were to analyze the non-face-to-face learning experiences of these learners for the educational environment and educational purposes. Based on the results of the learners' non-face-to-face learning experiences, a draft of a remote training system construction plan for non-face-to-face education was composed, and a Delphi study was conducted on the draft non-face-to-face remote training system. A method for establishing a distance training system including non-face-to-face teaching and learning strategies, learning and operation support was proposed with these results.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.6
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• pp.1139-1145
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• 2014

User recognition technology, which identifies or verifies a certain individual is absolutely essential under robotic environments for intelligent services. The conventional face recognition algorithm using single distance face image as training images has a problem that face recognition rate decreases as distance increases. The face recognition algorithm using face images by actual distance as training images shows good performance but this has a problem that it requires user cooperation. This paper proposes the LDA-based long distance face recognition method which uses multiple distance face images from a zoom camera for training face images. The proposed face recognition technique generated better performance by average 7.8% than the technique using the existing single distance face image as training. Compared with the technique that used face images by distance as training, the performance fell average 8.0%. However, the proposed method has a strength that it spends less time and requires less cooperation to users when taking face images.

• Journal of the Korean Applied Science and Technology
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• v.41 no.2
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• pp.413-423
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• 2024

Sixteen male college students were divided into two groups: a face-to-face group(n=8) and a real-time non-face-to-face exercise group(n=8), engaging in 30minute sessions twice a week for a duration of 8 weeks. Body composition and physical strength were measured as dependent variables before and after the home training period. For data analysis, a two-way ANOVA with repeated measures was conducted to evaluate the effects on body composition and physical strength, considering differences in exercise methods and measurement periods. Post hoc analysis using Bonferroni correction was applied. To compare the mean difference in change between groups, the pre-post difference was calculated, and an independent t-test was performed. The statistical significance level was set at p<.05. The results showed that 8 weeks of home training led to an increase in skeletal muscle mass and improvements in muscle strength, muscular endurance, and cardiorespiratory endurance in male college students, regardless of whether they participated in face-to-face or real-time non-face-to-face exercise. Moreover, there was no significant difference in exercise effectiveness between the face-to-face and real-time non-face-to-face exercise methods. Thus, these findings suggest that real-time non-face-to-face exercise can be as effective as face-to-face exercise in enhancing skeletal muscles and physical strength in male college students. Additionally, if a real-time non-face-to-face exercise program is validated for individuals with mobility issues or the elderly, it could serve as an effective alternative for those who face challenges in participating in face-to-face exercise sessions.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.185-189
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• 2004

For face recognition system, a face detector which can find exact face region from complex image is needed. Many face detection algorithms have been developed under the assumption that background of the source image is quite simple . this means that face region occupy more than a quarter of the area of the source image or the background is one-colored. Color-based face detection is fast but can't be applicable to the images of which the background color is similar to face color. And the algorithm using neural network needs so many non-face data for training and doesn't guarantee general performance. In this paper, A multi-scale, multi-face detection algorithm using PCA is suggested. This algorithm can find most multi-scaled faces contained in static images with small number of training data in reasonable time.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.722-732
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• 2021

Purpose: Due to the coronavirus infection-19 (COVID) pendemics, all educational institutions were required to provide full non-face-to-face real-time education, and fire officials were required to provide fire-fighting education by applying non-face-to-face education. In this difficult situation, the National Fire Service Academy tries to find the direction of the non-face-to-face real-time education and suggest ways to improve it through a survey of the status of non-face-to-face real-time education conducted by the NFSA to fire officials. Method: A survey was conducted on fire officials under the theme of "Consciousness Survey for Improving the Quality and Specialization of Non-face-to-face Real-Time Remote Education" and an in-depth analysis was conducted based on the results. Result & Conclusion: First, professors or educational operators shall actively utilize remote education programs suitable for educational characteristics by utilizing various programs. Second, a dedicated notebook for non-face-to-face training should be provided to provide an educational environment where all learners can participate in the training without difficulty. Third, in the case of education and training that requires the use of equipment due to the nature of fire officials' education and training, it is necessary to consider it as a non-face-to-face training place by arranging educational equipment at each fire station. Fourth, it is hard to expect a satisfactory educational effect to cope with practical education with theoretical education. Therefore, facilities and programs that enable non-face-to-face real-time hands-on training should be developed. It is worth considering the proper combination of face-to-face education while maintaining the social distance as much as possible until such non-face-to-face training is possible. Fifth, non-face-to-face education is considered to have high eye fatigue due to the light and electromagnetic waves of the computer screen, and as time goes by, the concentration level decreases. Therefore, it is necessary to form an education time to reduce the eye fatigue of learners and increase concentration through proper class and rest time. Finally, professors should operate a learner participation-oriented education that allows professors and learners to interact rather than one-sided knowledge transfer education. In addition, technical problems of non-face-to-face remote education should be thoroughly prepared through preliminary system checks to ensure that education is not disrupted.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.5
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• pp.1055-1062
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• 2021

As face-to-face education becomes difficult due to the spread of COVID-19, the use of e-learning content and virtual training is increasing. In the case of information security education, practice to learn response techniques is important, so simulation hacking and vulnerability analysis activities have been supported as virtual training for a long time. In order to increase the educational effect, contents should be designed similar to real situation, and learning activities to achieve the learning goals should be designed. In addition, excellent functions and scalability of the system supporting learning activities are required. The researcher developed an LMS evaluation index that supports non-face-to-face education by considering the key elements of non-face-to-face education and training. The developed evaluation index was applied to the information security education platform to verify its practical utility.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.29 no.3
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• pp.63-72
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• 2023

Background: This study investigated the effects of face-to-face and non-face-to-face McKenzie exercises and elastic band strengthening exercises on falls and fitness in older adults. Methods: A total of 44 subjects were divided into a face-to-face group (FG; n=22) and a non-face-to-face group (NFG; n=22) who met older adults. Both groups used McKenzie exercises and strength training with elastic bands The fall efficacy scale (K-FES) and glycosylated hemoglobin (HbA1c) Pro were used to compare the senior fitness test (SFT). Results: No significant differences were detected between the two groups before the intervention; however, a significant difference was noted in the K-FES scores after the intervention. The change in HbA1c after the intervention was not statistically significant in the FG or the NFG, and no significant difference was detected between the two groups. The change in lower limb muscle strength in the elderly physical fitness test showed no significant difference between the two groups before or after the intervention. The change in upper limb flexibility after the intervention was not significantly different in the FG or NFG, indicating no significant difference between the two groups. The change in the 3-meter round-trip test after the intervention was significantly different in both the FG and NFG groups, but the difference between the groups was not statistically significant. The change in the grip strength test of the dominant hand showed no significant difference after the intervention in the FG or the NFG, and the difference between the FG and NFG groups was not statistically significant. The dominant foot external standing after the intervention was significantly improved in the FG, but no significant difference was detected in the NFG, and the difference between the two groups was not statistically significant. Conclusion: The study findings revealed that FG and NFG McKenzie exercises and elastic band strengthen exercises were equally effective at preventing falls and improving fitness in older adults.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.299-309
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• 2023

This study examines the paradigm shift in vocational training with the introduction of remote training, which has been conducted fragmentarily by project, to respond to the COVID-19 pandemic. It analyzes the operation's problems and limitations by dividing the remote training process from assessment to budget execution by subject, stage, and procedure. Additionally, it collects various stakeholders' opinions to propose improvement plans for the vocational training support system to effectively respond to the paradigm shift in vocational training in the digital and non-face-to-face era. The study assumes that the assessment of training institutions and the training process should be innovated in a way that can accommodate the direction of vocational training in the digital and non-face-to-face era instead of focusing on traditional collective training. Based on this premise, it suggests ways to enhance the pre-approval screening system and the training institution assessment system.