• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.119-129
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• 2009

In The increasing use of computers and high-speed Internet network has greatly influenced education, causing a veering away from the typical and traditional way of delivering instruction. Specifically, the various kinds of Web-based multimedia technology, the interactive activities on the Internet, and satellite broadcasting technology are accelerating the emergence of a virtual-lectures-based educational model, which transcends time and space. Such virtual lectures make it possible for the entire teaching-learning process to be done in a virtual learning environment, thus giving rise to problem regarding learning guidance, feedback, and appraisal. In this paper, we propose a system for attendance appraisal for learner participation degree based virtual lecture, an appraisal element in virtual learning environments. This appraisal model can set the elements of virtual learning environments in such a way as to reflect in the attendance appraisal of the opened virtual learning environment information regarding the learner's participation in class. In addition, this model motivates the learners to actively participate in the virtual learning environment and to support instructors by accomplishing the activities that are needed for attendance appraisal.

• Journal of Multimedia Information System
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• v.5 no.3
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• pp.179-188
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• 2018

In order to overcome the problems of contact palmprint recognition, a non-contact palmprint recognition system is developed on personal computer (PC) platform. Three methods, namely "double-line-single-point" (DLSP), "double-assistant-crosshair" (DAC) and "none-assistant-graphic" (NAG), are implemented for the palmprint localization to solve the severe technical challenges, including the complex background, variant illuminations, uncontrollable locations and gestures of hands. In NAG, hand segmentation and the cropping of region of interest are performed without any assistant graphics. The convex hull contour of hand helps detect the outside contour of little finger as well as the valley bottom between thumb and index finger. The three methods of palmprint localization have good operating efficiency and can meet the performance requirements of real-time system. Furthermore, an attendance system on PC platform is designed and developed based on non-contact palmprint recognition.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1233-1238
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• 2013

The course evaluation is used in faculty evaluation model even the grade of course evaluation has a big gap in absolute value with the characteristics of subjects. It is important to obtain the reliability of course evaluation because the result of course evaluation is fed to instructor to assure the quality of instruction. The purpose of this paper are to analyze the relation of attendance rate and course evaluation to improve the reliability of course evaluation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.327-329
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• 2019

In this paper, we propose an automatic attendance management system for classrooms using OpenCV and machine learning technology. When a face photograph is input at the entrance of the classroom using a general purpose camera for PC, the attendance is checked by comparing the similarity of the face of the already stored student. In this study, the prototype was implemented using the machine learning library dlib, and about 10% of the students had a recognition rate of about 70%.

• The Korean Nurse
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• v.4 no.2 s.16
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• pp.77-86
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• 1965

• Journal of Korean society of Dental Hygiene
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• v.10 no.4
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• pp.617-625
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• 2010

Objectives : The research which sees collected information about dentistry infection management recognition of the patients and the infection management which the medical treatment consumer does in necessity is what, grasped and satisfaction and became the fundamental data which makes the hospital will be able to trust about dentistry image rise and dentistry environment of the medical treatment consumer who assists a dentistry character executed. Methods : From 2009 April 1st until May 28th 233 people common people who have the experience which visits a Gyeongsangnam-do area dentistry the object with the entry question law which sleeps did and the data analysis SPSS, 12.0 For Window under using produced each question item by frequency and a ratio, the analytical degree of infection management One - Way ANOVA stamps and executed t-test. Results : Information experience experienced about dentistry infection of the investigation object person to be, appeared with 74.7% and the after that dentistry assistance at the time of conduct change which experiences the answer back regarding of Former times attentively observes organization disinfecting' was most with 46.6%. The protective equipments wearing goal of the dentistry medical attendance appeared the dentistry medical attendance and patient protection 77.7%, dentistry medical attendance protection 12.9%, by patient protection 9.4% order. Before medical treatment starting of the dentistry medical attendance the hand Does not confirm' appeared 72.1%, with. The hand washing, is whole and the degree which appears is high with 4.11 points the stamp. Is high there was a possibility of knowing the thing about the recording infection where the educational background will be high and considers statistically the difference which was visible Conclusions : The education which is active and continuous is necessary about infection management and sets the guides which are standardized to the patients and about infection management and about infection prevention and exposes from dentistry practices well to emboss the thing is thought that there is a necessity to plant a trust feeling about the dentistry where the patients assist.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.295-299
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• 2007

Many to U-Campus field research have been processed meet of Ubiquitous and University. This paper re-civil of an inventory system of University and student attendance management service of the U-Campus it used a RFID system and it planned newly and it embodied. The system which is proposed journalist re-relation information is provided with a real-time and it leads to put on, it provides a search the delivery of goods from a warehouse, returned goods and location information back. Also the mouth thread of the students and they it provides the thread and strong will information from the student attendance civil official. It uses the system which is proposed from the dissertation which it sees with it becomes disturbance in the journalist re-civil official and the student attendance civil official it will reduce a many hour and a manpower and an expense with the fact that.

• Ocean and Polar Research
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• v.42 no.1
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• pp.89-95
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• 2020

Our study was conducted to examine the nest attendance of the Black-faced Spoonbill (Platalea minor) from 2015 to 2018 at two Islets located in Incheon, South Korea. We visited study sites in March-April and set up the remote sensor cameras at two breeding sites (Mae-do, Guji-do) to observe chick-rearing behavior. Mean nest bout length at Mae-do (female: 4.2 ± 0.1 hr, male: 4.0 ± 0.1 hr) was shorter than at Guji-do (female: 5.3 ± 0.2, male: 6.0 ± 0.3 hr), and trip duration at Mae-do (female: 4.4 ± 0.1 hr, male: 4.0 ± 0.1) was also shorter than at Guji-do (female: 7.0 ± 0.2 hr, male: 7.0 ± 0.3). Mean nest bout length and trip duration at both study sites decreased as chick rearing progressed. Males attended their nests during the daytime, and females attended their nests during the nighttime. Our results showed that females and males' duties were divided by the diel cycle, but the pattern of nest attendance could change depending on the environment of their breeding sites during the chick-rearing period.

• Journal of Community Nutrition
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• v.3 no.1
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• pp.21-29
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• 2001

This study was conducted to examine factors with attendance in hyperlipidemia nutrition eduction program among 101 hyperlipidemic outpatients (38 males 63 females) at Samsung Medical Center We employed the Health Belief Model (HBM) as the theoretical framework The individual nutrition education and counseling program was scheduled with 4- half hour session sin 2 to 4 weeks intervals. Upon initiation of the program a trained dietitian surveyed HBM constructs and psychosocial factors. The following were included perceived susceptibility to cardiovascular disease(CVD) perceived severity to CVD percieved benefits to diet modification perceived barriers to persistence in maintaining therapy and self efficicacy and social support from family Sociodemographic data health factors stress level nutrition knowledge, and 24-hour dietary recall behavior were also surveyed All these data was analyzed according to the number of nutrition sessions attended The subjects were 55.9$\pm$9.4 year old and 24.6$\pm$kg/㎡ Sociodemographic factors were not associated with the number of nutrition sessions attended HBM constructs and psychosocial factors were significantly associated with the number of nutrition sessions attended. According to Spearman correlation coefficients. From stepwis regression analyses using HBM constructs as independent variables perceive barriers to persistence in maintaining diet therapy (negative) proved to be the strongest predictors for the number of nutrition sessions attended (partial R$^2$= 72.3%) followed by perceived severity to CVD and self efficacy (model R$^2$=76.6% The findings indicate that HBM constructs and psychosocial factors were closely associated with patient attendance It suggests that information and guidance to minimize patients perceived barriers to diet therapy might help to improve patients to scheduled appointments in nutrition education programs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.503-523
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• 2022

Nowadays, many attendance applications utilise biometric techniques such as the face, fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to the advancement of deep learning algorithms, the accuracy rate of biometric techniques has been improved tremendously. This paper proposes a web-based attendance system that adopts facial recognition using open-source deep learning pre-trained models. Face recognition procedural steps using web technology and database were explained. The methodology used the required pre-trained weight files embedded in the procedure of face recognition. The face recognition method includes two important processes: registration of face datasets and face matching. The extracted feature vectors were implemented and stored in an online database to create a more dynamic face recognition process. Finally, user testing was conducted, whereby users were asked to perform a series of biometric verification. The testing consists of facial scans from the front, right (30 - 45 degrees) and left (30 - 45 degrees). Reported face recognition results showed an accuracy of 92% with a precision of 100% and recall of 90%.