• Journal of Families and Better Life
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• v.19 no.2
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• pp.13-21
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• 2001

The purpose of this study is to examine the Marriage Preparation and Preservation Act adopted in Florida which require premarital counseling and covenant marriage laws of Louisiana and Arizona among many kinds of family policy which recently are designed to prevent divorce in the United States of America. Most of states in the U.S. require the marriage license prior to having a marriage ceremony. Covenant marriage legislation has admirable motives to strengthen marriage and cure the defects of the no-fault system. In that legislation, the imposition of waiting period for the no-fault ground of divorce, proof of fault requirements, consent requirements, and mandatory course or counseling attendance will likely serve as deterrents to those seeking divorce as a first resort. To sum up, by offering preventive measures in the form of premarital counseling and waiting period before marriage, covenant marriage will force couples entering marriage to carefully consider their actions before they act and prevent broken marriages in the first place. In response to rising divorce rates, the Koreas family policy has put its emphasis of fixing social problems accompanied with family dissolution. Rather, this study suggests that attention in Korea also should be shifted from broken marriages to preventing them.

• Journal of Korean Medicine for Obesity Research
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• v.23 no.2
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• pp.98-111
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• 2023

Objectives: The purpose of this study was to review predictive factors associated with weight loss in moderate to severe obesity treatment. The direction of the treatment for moderate to severe obesity will be suggested in consideration of various factors. Methods: Authors searched the articles published from 2018 to 2023 in three international databases (PubMed, Embase and the Cochrane Central Register of Controlled Trials) and two domestic databases (Research Information Sharing Service, Korean studies Information Service System). Studies including treatment with moderate to severe obese patients were selected. Results: A total of 43 studies were included. The main factors of weight loss were unchangeable predictors such as low initial degree of obesity, younger age, non-diabetes and high resting energy expenditure with changeable predictors such as increase in protein, physical activity, self-efficacy, initial weight loss and attendance of the treatment. Conclusions: Our review results suggest that based on the characteristics of moderate to severe obese patients, predictors of weight loss can be used to determine treatment and prognosis in various aspects.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.419-424
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• 2013

A study was performed on the management of working hours, starting time, and the internship journal using mobile app in order to manage the on the job training of the disabled students in the industrial companies. The employer of the disabled verifies if the acceptable standard of the disabled students and the actual information of the applicant matches, before hiring (accepting) the applicant. The company manages the attendance information (working hours and address, etc.) of the trainees using GPS. Judging from the result of the performance of this process, the process has contributed to the on the job training of the disabled, so the program is underway to link the process to the actual employment in the future. To test This app in this research, surveys with 34 students were done on "Results of Usefulness." UI satisfaction about this application showed more than 81.1% of beyond Just OK.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.6
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• pp.780-786
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• 2005

This study presents a non-video, non-invasive, automatic, on-site monitoring system the system employs ultrasonic transducers to detect behavior in sows before, during and after parturition. An ultrasonic transmitting/receiving (T/R) circuit of 40 kHz was mounted above a conventional parturition bed. The T/R units use ultrasonic time-of-flight (TOF) ranging technology to measure the height of the confined sows at eight predetermined locations. From this data, three momentary postures of the sow are determined, characterized as standing-posture (SP), lateral-lying-posture (LLP) and sitting posture (STP). By examining the frequencies of position switch Stand-Up-Sequence (SUS) between standing-posture (SP), lateral-lying-posture (LLP) and sitting-posture (STP) rate can be determined for the duration of the sow' confinement. Three experimental pureblooded Landrace sows undergoing normal gestation were monitored for the duration of confinement. In agreement with common observation, the sows exhibited increased restlessness as parturition approached. Analysis of the data collected in our study showed a distinct peak in Stand-Up-Sequence (SUS, i.e. the transition from lying laterally to standing up ) and sitting-posture (STP) rate approximately 12 h prior to parturition, the observed peak being 5 to 10 times higher than observed on any other measurement day. It is concluded that the presented methodology is a robust, low-cost, lowlabor method for the continuous remote monitoring of sows and similar large animals for parturition and other behavior. It is suggested that the system could be applied to automatic prediction of sow parturition, with automatic notification of remote management personnel so human attendance at birth could reduce rates of sow and piglet mortality. The results of this study provide a good basis for enhancing automation and reducing costs in large-scale sow husbandry and have applications in the testing of various large mammals for the effects of medications, diets, genetic modifications and environmental factors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.420-424
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• 2016

Recently, with the development of Internet technology and multi-media technology, the Internet is going to develop in many areas, a new application areas. In particular, in the area of education, has made a Epoch-making development in the Internet applications, it has presented the instructional methods of the new paradigm. Study using the online learning, instructional method of a conventional traditional new proposal that deviates from the off-line teaching, Unlike the existing off-line learning, without being bound by time and space, in terms of anytime, anywhere it is possible to attend the lecture, is a very efficient learning. Online lectures Despite many advantages, and containing a number of problems. In terms of space of the learning is performed on-line, there is a disadvantage that the student management and learning, the reliability of evaluation missing number. In this study, out of such a variety of problems, concentration to induce an active learning attitude of learners, learners of learning who attempt to increase the reliability and using the face detection system of attendance learning It proposed a degree system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.596-597
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• 2016

Recently a variety of companies as the growing importance of big data are in the process of research and development for large-scale data collection and management. In addition, a situation that collects all necessary data inside and outside the enterprise to improve the manufacturing environment and the service environment. In this paper, we collect to ingest the mouth-time work for companies within the temple. Also, in conjunction with the NFC tag of the smart phone and employee information stored in the database. Utilizing this determines whether or not the employee attendance and the authority to automatically access to the database or resource within the enterprise. The proposed system is considered to be able to increase the accessibility and efficiency of a database or a resource in the enterprise.

• Journal of Industrial Convergence
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• v.21 no.7
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• pp.41-49
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• 2023

In recent years, various educational institutions have used online certificate services to verify academic achievement related to graduation and grades. However, the certificate of the existing system has limitations in verifying and tracking whether it is true or not and detailed academic background. In this regard, cases of forgery/falsification of online/offline certificates continue to occur. This study proposes a blockchain-based verification method that is safe from forgery and alteration, focusing on university institutions. Necessary information such as detailed class categories for each department, attendance, and detailed grades was collected/analyzed to create a linkage relationship through blockchain. In addition, the system/network environment required for blockchain sharing was considered, and it was implemented as an extension module in the form of an independent web application. As a result of the block chain verification, it was proved that the safe trust verification of educational information and the relationship between detailed information can be traced. This study aims to contribute to the improvement of academic credential verification services and information security for Korean educational institutions in the future.

• Journal of The Korean Association of Information Education
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• v.9 no.4
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• pp.617-625
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• 2005

With enforcement of information usage education since 1997, teachers have been given many different types of training to improve teacher's expertise. Especially, It has established distance education centers as an attempt to construct advanced training system in digital information society to solve the problems with current attendance-based training, and then its number has increased until now, total 53 institutes are on the list at the moment (Sep.2004). In this research, it has conducted a survey and analysis on educational contents and general management state, based on the curriculum of distance training center, for making its quality improvement plan including mutual contentment of both provider and demander for elementary school teachers. Examining the survey, it is expected for providers to accommodate persistent feedback to reflect periodically changing needs and various interest. From users' perspective, they wanted varied programs to choose in many other subjects for enhancing its expertise, rather than taking classes just for evaluation.

• Korean Journal of Occupational Health Nursing
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• v.17 no.1
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• pp.64-75
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• 2008

Purpose: The purpose of this study was to analyze of PCAs' activity classification system and time of PCAs who worked in Wamco. Method: The data were collected from 2 WAMCO and 308 subjects between February and August, 2007, by questionnaire and 24 time survey. The data were processed with SPSS Win 12.0. Result: In activity analysis, PCAs' activities were classified into 20 domains and 76 activities, which were hygiene, bathing, feeding & nutrition, elimination, respiration, skin care, exercise & transfer, problematic behavior control, communication, observation & measurement comfort, medication, assisting test & treatment, reporting, environment management, patient belongings care, education attendance, indirect caregiving weekly/monthly PCAs' activity. And the PCAs' time analysis showed the average of 24hrs PCAs' time were 798.8 minutes, in which 46.8% were used in day-duty, 33.6% in evening-duty, and 19.6% in night-duty. There were no statistically significant difference in total PCAs time according to the type of industrial accidents and PCAs' type and qualification. But there were statistically significant difference in total PCAs time according to the type of PCAs (day-duty/all-night vigil. Conclusion: The results of this study can be utilized usefully and reasonally in deciding of PCAs staffing and PCAs' type and grade in WAMCO.

• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.1-12
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• 2014

Since students' behaviors during e-learning are automatically stored in LMS(Learning Management System), the LMS log data convey the valuable information of students' engagement. The purpose of this study is to develop a prediction model of e-learning course dropout by utilizing LMS log data. Log data of 578 college students who registered e-learning courses in a traditional university were used for the logistic regression analysis. The results showed that attendance and study time were significant to predict dropout, and the model classified between dropouts and completers of e-learning courses with 96% accuracy. Furthermore, the feasibility of early detection of dropouts by utilizing the model were discussed.