• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.325-334
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• 2014

There are management and price problems that have been caused by requirement of RFID reader, Fingerprint Identification System and Clicker for the construct of automatic attendance system to check the students' attendance accurately and quickly. Therefore, in the thesis, we developed smartphone based attendance check system by utilizing Wi-Fi and the smartphones that has been already built without using additional equipments and establishing construction of system additionally. It recognizes date, time, location and the seat number in classroom if a student logs the attendance chocking application in and it also allows students to get lecture feedback and check attendance by taking quizzes and questionnaires that are related to the lecture. As a result, by applying the attendance check system, instructors state that it is convenient since the app allows instructors to communicate with students though the quizzes and questionnaires. Especially, the instructors state that it is convenient because the results of the quizzes, questionnaires and attendance can be downloaded it the from of Excel files.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.119-127
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• 2006

This paper deals with the middleware and S/W development of real time automatic attendance check management system using ubiquitous 900Mhz RFID(Radio Frequency Identification). This system supports the real time automatic attendance check and necessary data processing in class management. We expect to decrease the effort for class management and to upgrade the status of real time management of class.

• Journal of The Korean Association of Information Education
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• v.16 no.3
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• pp.283-289
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• 2012

A distance learning is diffusing rapidly in society. It is more difficult to confirm a learner's identity and learning processing in a distance learning. Distance learning has a checking attendance system because a teacher and student do not meet face to face. There are some checking attendance systems such as login check, SMS authenticating system, unexpected quiz, and so on. However, existing checking attendance system has some problems to check learner's attendance in a whole lesson. Therefore, this study designed and developed learner's attendance system based on PC camera's shot of certification in a whole lesson. This attendance checking system can judge real attendance of learners in a distance learning and distance evaluation. The system is expected to make trust of a distance learning higher.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.1
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• pp.227-229
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• 2017

In this paper, we propose electronic attendance checking system using a bluetooth beacon in the absence of Wi-Fi or cellular networks. The proposed electronic attendance checking system uses a polling scheme where the administrator sends a request message and the attendees response using a beacon packet. Existing electronic attendance checking system requires a centralized server but the proposed method can check attendance without any external networks.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.29-36
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• 2020

As the Ministry of Education adds an item to evaluate whether a university strictly manages class time compliance and student attendance, the number of cases in which universities use electronic attendance systems is increasing. If you use the electronic attendance system, you can manage attendance and record management in real time. In this paper, I would like to suggest a solution to the prevention of cheating, which is a problem with the existing electronic attendance system. In this paper, automatic attendance is possible by automatic or correction. If the electronic attendance is performed manually, the BLE beacon service of the professor's smartphone is activated, and then the student's electronic attendance application is automatically executed using the push message service. When the student clicks the attendance check button and the beacon is found, attendance is processed. In the case of automatic processing, the beacon is automatically searched and attendance is handled even if the student is not involved. The proposed system automatically handles attendance even when the student does not recognize it, and has the advantage of preventing illegal attendance because it can reconfirm attendance at unspecified intervals.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.7
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• pp.1639-1644
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• 2013

Recently, interest is rapidly increasing in short-range wireless communication such as NFC (Near Field Communication). In order to minimize the attendance time, we propose the attendance management system using the NFC tags attached in all of the desks in a classroom and NFC readers embedded in most of the smart-phones released in lately. The system consists of PC version web-application for professors and the android version app-application for students. And it provides the professors with more lecture time by saving the attendance check time. The contribution of this paper include that it proposes and develops the prototype of the attendance management system using NFC and proves that the system is applicable to the various kinds of educational organizations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1524-1530
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• 2016

Recently, research about an electronic attendance-absence recording system has been actively carried out using smart devices. Using an electronic attendance-absence recording system, professors can check their students' attendance on a real-time basis and manage their attendance records. In this paper, we proposed a real-time electronic attendance-absence recording system using face detection and face recognition based on web application. It can solve the spatial, temporal, cost issues belong to electronic attendance-absence recording system using AIDC(Automatic Identification and Data Capture). A proposed system is running on web server and made by HTML5(Hyper Text Markup Language ver.5). So professor connect to server using mobile web browser on mobile device and real-time manage electronic attendance-absence recording with real-time send or receive image data. In addition, the proposed system has an advantage capable of installation and operation, regardless of the operating system because it operates based on the Python flask framework.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.496-502
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• 2020

The electronic attendance management system is being introduced and operated on a pilot basis by some universities and educational institutions. However, most of the related systems have installed and operated the existing barcode and magnetic card systems. Classroom attendance is managed by introducing RF cards, but it causes problems such as recognition distance (less than 5cm) and the need for a check process in which students have to read the card each time with a reader for attendance. Also, it is not possible to respond in real time to the situation of midterm (early leave, absence from the second lecture time, etc.) because it is used in the lecture time of one subject with the record checked once. In order to solve these problems, the various mobile attendance systems proposed to solve these problems are also unable to fundamentally solve problems such as interim attendance and proxy attendance because they check attendance using only the application of a smartphone. In this paper, we use geofencing technology, which is a positioning-based technology that detects the entry and exit of people, objects, etc. in areas separated by virtual boundaries. The proposed system solves the problem of intermediate attendance and alternate attendance by setting the student to automatically record the access record when entering and leaving the classroom set as a geofence with a smartphone. In addition, it also provides a function to prevent unintentional mistakes that occur through the smartphone by limiting some of the functions of the smartphone such as silence, vibration, and Internet use when entering the classroom.

• 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.

• KIISE Transactions on Computing Practices
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• v.21 no.4
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• pp.283-289
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• 2015

We propose a low cost attendance checking system using NFC (Near Field Communication) and show a case study of an actual operation of the system in a higher education institute. The system offers a direct attendance check service when a student touches NFC tag on a classroom desk with his/her own smartphone. Our service was first developed and operated in 2012, and then additional functions like massive real time processing were reinforced. In the fall semester, 58 courses use the service and 96% of the class attendance was checked with mobile devices. The only hardware requirement of the system was NFC tag on the classroom desk, which reduced hardware cost dramatically. However, it also minimized attendance checking time into 1 minute regardless of enrolled student number.