• 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 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.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.209-214
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• 2016

In an environment of IoT services, sensors to track things and human activities are included as an essential element and smart phone is actively used as a means of collecting and processing information from sensors. Especially, wireless communication and NFC provided by the smart phone are key technologies for exchanging information between participants of IoT service. In this paper, we propose and implement the smart attendance checking system based on BLE using a beacon for improving the quality of a university lecture by processing attendance information automatically. Proposed system uses the beacon sensor for being aware of attendance information and the smart phone for receiving and processing this information. The implemented system has the benefit to improve the lecture quality because a professor can minimize attendance checking time and spend a lot of time on the lecture.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.64-71
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• 2022

Various types of attendance management systems are being introduced in a remote working environment and research on using face recognition is in progress. To ensure accurate worker's attendance, a face recognition-based attendance management system must analyze every frame of video, but face recognition is a heavy task, the number of the task should be minimized without affecting accuracy. In this paper, we proposed a search model using time interval variation to minimize the number of face recognition task of recorded videos for attendance management system. The proposed model performs face recognition by changing the interval of the frame identification time when there is no change in the attendance status for a certain period. When a change in the face recognition status occurs, it moves in the reverse direction and performs frame checks to more accurate attendance time checking. The implementation of proposed model performed at least 4.5 times faster than all frame identification and showed at least 97% accuracy.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.14-23
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• 2014

Existing attending management systems require a high cost and are lack of convenience. In this paper, we propose a convenient and practical attending management system as follows: First, our system allows us to construct an attendance book in an easy and simple way. A professor does not have to provide the information of students using the small screen of his smartphone. Instead, each student manages his own information via the app designed for a student in our system. Then the professor can construct the attendance book using another app designed for the professor by confirming the requests from the app designed for a student. Second, our system enables a professor to utilize the pictures of students as well as other information of students to have a good relationship with students. Third, our system provides a functionality of checking attendance automatically by calling the names of students via the app designed for the professor. Then the professor has only to match the name with the face of each student. Fourth, our system provides a functionality of checking attendance in a very fast manner. Our system can complete this behavior within a short time since all students can join the attendance simultaneously by using the app designed for the student. Fifth, our system can prevent an illegal attendance easily by utilizing the distance information.

• Journal of the Korea Society of Computer and Information
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• v.23 no.8
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• pp.67-73
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• 2018

In this paper, we propose an electronic attendance management system using the bluetooth function of the beacon and BLE advertising function of the smart phone. In the beacon-only bluetooth attendance confirmation system, it is needed more than one beacons according to the class room sizes. A BLE advertising function based attendance confirmation system can not provide the information about the location of the attendances. In the proposed system, we can identify the location of the instructor using the beacon of the class room, and confirm the attendances by checking the position of the attendances's smart phone. In this system, we can achieves the goals of electronic attendance management system using only one beacon per a class room.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.72-79
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• 2010

A EAARS(Electronic Attendance-Absence Recording System) is the important LSS(Learning Support System) for blending a on-line learning in the face-to-face classroom. However, the EAARS based on the smart card can not identify a real owner of the checked card. Therefore, we develop the CS(Client-Sever) system that manages the attendance-absence checking automatically, which is used the self-organizing neural network for the face recognition. A client system creates the ID file by extracting the face feature, a server system analyzes the ID file sent from client system, and performs a student identification by using the Recognized weight file saved in Database. As a result, The proposed CS EAARS shows the 92% efficiency in the CS environment that includes the various face image database of the real classroom.

• Korean Journal of Construction Engineering and Management
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• v.16 no.4
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• pp.60-69
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• 2015

Labor attendance management has traditionally been carried out by writing a table for checking an attendance of labor, which requires a lot of time and effort. As electronic devices with additions such as barcodes, Quick Response codes, and Radio Frequency Identification(RFID) have been developed, however, automated labor attendance management systems have appeared. Recently, various types of labor recognition devices converged with biometrics (fingerprint, vein, face recognition, etc.) have been released. However, although these devices can be used to check attendance automatically, there is insufficient guidance when it comes to selecting the appropriate labor attendance management system for construction sites. Therefore, this study proposed a decision framework to determine which labor attendance management system would be suitable for a construction site and to select the labor recognition device. This study investigated different labor recognition devices, focusing on how they worked, and tested the performance of devices and their usability for construction labor attendance management. The test results showed that RFID is most suitable when verifying the attendance of many laborers over a short period of time. The devices for hand vein and fingerprint recognition did not function when there was a foreign material such as cement or paint on the laborer's hand, except for a deformed finger. Reflecting these test results, this study suggested a framework for selecting a labor attendance system and recognition device; this is expected to contribute to the development of more efficient labor management systems.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.545-547
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• 2013

최근 대학 강의가 대형화 함에 따라 기존 교수방법으로는 출석체크, 퀴즈, 시험 등의 평가과정에서 발생하는 오버헤드를 피하기 어렵게 되었다. 교수는 대형강의에서 시행하는 퀴즈/시험 등에 따른 채점/평가에 대해서 상당한 부담감을 느끼며, 강의 중 교수-학생 상호작용/feedback 등을 시도하기도 어려운 상황이다. 이러한 문제를 해결하기 위해서, 본 연구에서는 대형강의 추세에 따른 적합한 교수법/교수지원도구(tool) 연구를 수행하였다. 대형강의에서 퀴즈/시험의 채점 및 평가에 소요되는 오버헤드를 감소시키는 방법을 고안하며, 대형강의에서 스마트폰을 활용하여 학생들과 실시간으로 상호작용할 수 있는 도구를 개발하였다. 특히, 본 연구에서는 HTML5 기술을 활용함으로써, 학생들이 소지한 스마트폰의 플랫폼에 독립적으로 설치과정의 번거로움 없이 활용할 수 있도록 하였다.