• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1115-1121
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• 2018

In this paper, we have studied a data analysis method by deep learning to predict learning achievements based on accumulated data in cyber university learning management system. By predicting learner's academic achievement, it can be used as a tool to enhance learner's learning and improve the quality of education. In order to improve the accuracy of prediction of learning achievements, the autoencoder based attendance prediction method is developed to improve the prediction performance and deep learning algorithm with ongoing evaluation metrics and predicted attendance are used to predict the final score. In order to verify the prediction results of the proposed method, the final grade was predicted by using the evaluation factor attendance data of the learning process. The experimental result showed that we can predict the learning achievements in the middle of semester.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.3
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• pp.11-19
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• 2015

Due to recent development in mobile devices, the mobile device utilization and many related applications have been increasing. Most of initial applications on mobile devices just showed simple information, but now they processes huge data. However, smart devices have certain limitations in processing massive data. Especially, if the size of data increases, the speed of data processing adversely decreases, so the performance of programs also decreases. If hardware specification of the mobile devices is not enough to handle it, response time will be drastically delayed. To overcome these drawbacks, most of application running on mobile devices communicate with their servers to manage data. XML is a proper language for data communication to send and receive data between servers and mobile devices, because it defines rules of document's format and it is a textual data format and small-sized language. However, mobile devices have limitation such as memory, CPU and wireless network to process huge data and XML also takes a lot of time to communicate with servers and devices and handle data, so it could be overhead in service time. Binary XML is an alternative of performance improvement in data processing, which has XML's benefits and minimizes the XML size by binary coding. However, most of binaryXML which are used on applications don't fit on mobile applications. In this paper, we surveyed many kinds of binaryXML, compared merits and demerits to find a binaryXML for mobile applications. We propose how to use binary XML and implemented an electronic attendance system using binary XML to overcome the limitation of XML and to reduce the load of data communications between servers and devices.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.616-617
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• 2010

This paper presents a model of e-learning based on ubiquitous computing configuration. The proposed e-learning model as following. we propose the e-learning system's hardware and software configurations which are server and networking systems. Also, we construct the proposed e-learning systems's services. There are attendance and absence service, class management service, common knowledge service, score processing service, facilities management service, personal management service, personal authorization issue management service, campus guide service, lecture-hall management service. Also, we propose the laboratory equipment management service, experimental materials management service etc.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.267-274
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• 2014

Even though computer based college lecture management system was developed long ago and has been used ever since, developing perfect lecture management is not simple. The main objective of this system is to develop appropriate online lecture supportive management program suitable for college lectures. This system [ADLEMS] mainly focuses on the management of college database lectures, exams, and grades. This system supports management and grading of attendance, reports, quizzes, mid-term, and final exams. Exam management categorizes into multiple choice questions, essay questions, short answer questions, and SQL. Especially for SQL, division analysis was applied when developing grading system for more effective grade management. For essay questions and short answer questions, manual [hand] grading method was used. Every student can verify the grading process in person to alleviate the problems occurring during the grading process.

• 한국정보교육학회:학술대회논문집
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• 2007.08a
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• pp.88-95
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• 2007

U-러닝이라고 하는 새로운 패러다임이 교육 현장에도 적용되고 있다. 그렇지만 유비쿼터스 학습에 대한 충분한 선행연구나 지원 콘텐츠의 개발이 이루어 지지 않는 상태에서 u-러닝을 구현하기에는 많은 어려움이 따른다. 이에 본 연구에서는 먼저 교사, 학부모의 u-러닝과 RFID에 대한 인식 상태 조사, 그리고 출결관리 시스템을 개발하여 학생들에게 적용하여 봄으로써 미래 교육의 바람직한 모델을 제시하고자 하였다.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.719-730
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• 2013

The English Conversation class as a required course in S university is designed as blended learning to reinforce English education. To identify the influence of this blended learning on its students' achievement, the research about what variables are related with it was conducted. Data analysis indicates that gender, major, military service, overseas stay, face-to-face attendance, quiz, and online attendance have an effect on the student achievement. However, the students' style of online learning--study place, study time, and study frequency--doesn't have any relationship with their achievement. Their satisfaction with the online study was questioned in the three areas such as instructor, contents, and system, among which only the 'system' area has an influence on their achievement.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.33-45
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• 2013

The trend toward ubiquitous computing does not represent simply a change in the way people access and use information. In the end it will have a profound effect on the way people work with each other. In this paper, we have defined functionalities of an information system that helps operate a kind of smart office environment, and implemented the system using RFID technology. The system provides three major functions-time and attendance management, personalized message notification, and flexible seat allocation for a smart working center. We have also suggested the key performance indicators and performed a KPI analysis to measure an efficiency of implemented system.

• Journal of Korean Medicine for Obesity Research
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• v.19 no.1
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• pp.42-55
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• 2019

Objectives: Acceptability of patients towards obesity treatment program is associated with better weight loss outcomes. The purpose of this study was to review previously published study results of the predictive factors associated with patients' acceptability in obesity treatment. Methods: Authors searched for the articles related to acceptability reported as continuation, attendance and adherence, published from 2011 to 2018 found on Pubmed, Scopus, Research Information Sharing Service, and Koreanstudies Information Service System. A total of 23 articles were finally selected. From the study results, unchangeable and changeable predictors were extracted, and these predictors were examined according to detail categories. Results: Regarding the continuation of the treatment, unchangeable factors such as younger age, lower educational level, male sexuality and lower accessibility to physical activity predicted lower continuation. Furthermore, changeable factors such as early and half weight loss, better accessibility to the treatment and financial incentives for retention predicted higher continuation rate. Greater degree of attendance was predicted by unchangeable factors such as economical affordability, and changeable predictors such as half weight loss and proximity to the clinic. Main factors of adherence to the recommendation were unchangeable predictors such as weight loss experience, and changeable predictors such as more physical activity and appropriate dietary habits. Negative psychological state predicted lower continuation, attendance and adherence rate. Conclusions: Our review results suggest that unchangeable and changeable predictors of acceptability of patients should be carefully examined during treatments of obesity.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.333-338
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• 2012

Human resource management is bringing the various changes with the IT technology. In particular, if HRM is non-scientific method such as group management, physical plant, working hours constraints, personal contacts, etc, the current enterprise human resources management(e-HRM) appeared in the individual dimension management, virtual workspace (for example: smart work center, home work, etc.), working time flexibility and elasticity, computer-based statistical data and the scientific method of analysis and management has been a big difference in the sense. Therefore, depending on changes in the environment, companies have introduced a variety of techniques as RFID card, fingerprint time & attendance systems in order to build more efficient and strategic human resource management system. In this paper, time and attendance, access control management system was developed using multi camera for 2D and 3D face recognition technology-based for efficient enterprise human resource management. We had an issue with existing 2D-style face-recognition technology for lighting and the attitude, and got more than 90% recognition rate against the poor readability. In addition, 3D face recognition has computational complexities, so we could improve hybrid video recognition and the speed using 3D and 2D in parallel.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.241-249
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• 2022

The current research attempts to measure the level of the acceptance of the Blackboard System (BBS) during the Corona crisis, and whether this is one of the reasons for the low use of the BBS at Al-Jouf University. To achieve this, the technology accepting model in the time of crisis (TAMTC) has been proposed to measure the degree of acceptance by students, which was then applied to a random sample of 339 of such. The results show a high level of student acceptance, despite their lower use of the system. The research also highlights the importance of upgrading e-courses and that the discontinuation of exam disqualification of students is secondary to their poor course attendance.