• 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.

• 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 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1193-1198
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• 2022

As unmanned processing systems emerged socially due to the rapid development of modern society, a face recognition attendance management system using Raspberry Pi 4 was studied and conceived to automatically analyze and process images and produce meaningful results using OpenCV. Based on Raspberry Pi 4, the software is designed with Python 3 and consists of technologies such as OpenCV, Haarcascade, Kakao API, and Google Drive, which are open sources, and can communicate with users in real time through Kakao API for face registration and face recognition.

• 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.

• Proceedings of the KAIS Fall Conference
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• 2008.11a
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• pp.39-41
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• 2008

우리나라의 사교육기관인 학원의 수가 증가하고 그에 따른 학생들의 수도 증가함에 따라 관리자측면에서 학생관리 시스템의 변화가 제기되고 있고 특히 학생들의 등하교에 따른 출결여부와 학부모에게 공지사항을 전달하는데 많은 시간적, 경제적 비용이 소모되고 있는 실정이다. 이러한 문제를 해결하기 위하여 본 논문에서는 최적화된 RFID기술에 관해 연구하였다. RFID리더기를 이용하여 학생들의 출결여부를 실시간으로 입력함으로써 학생 관리를 하는데 있어서 시간과 노력을 줄일 수 있는 RFID기술 기반의 학원관리 시스템을 구현하였다. 실시간으로 SMS메시지 전송서비스를 제공하였으며, Tag를 인식 할 때 해쉬기반의 인증 메커니즘을 추가하여 구성하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.549-552
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• 2011

RFID technology is one of the verification technology that use radio frequency. Use and study of RFID are on the increase because RFID is a one of main technologies in ubiquitous. In this paper, we address to develop a Record Processing System using RFID. The purpose of this paper is improvement of accuracy and efficiency on Record Processing System by applying RFID. Later, This paper will be able to help to establish of u-Campus.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.129-130
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• 2016

실내 위치인식 기술인 핑거 프린트 기법을 이용해 출결을 확인함으로써 짧은 수업시간에 신속하고 정확하게 출석을 확인하는 것이 본 연구의 목적이다. 부정 출석을 막기 위해 핑거프린트를 이용한 실내 위치인식으로 학생들이 수업장소에 와있는지를 확인하고, 대리 출석을 막기 위해 출석확인을 하는 모바일기기의 고유 정보를 가져와 하나의 모바일 기기에서 한 번의 출석확인만 가능하도록 하였다. 또한 출석체크만 하고 수업을 빠져나가는 것을 방지하기 위해 수업 장소에 머무른 시간 또한 체크를 하였다. 향후 출석 시스템만이 아니라 출석 데이터로 출석이 성적에 미치는 영향 등 다양한 방면으로 활용될 수 있을 것이라 생각한다.

• 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 Journal of the Korea Contents Association
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• v.15 no.8
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• pp.18-23
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• 2015

Recently, in Korea, private education is being dramatically developed, and the number of small- and medium-sized academies is increasing exponentially. Therefore, academies are building their own management system to realize efficient management appropriate for their situations. Also, the academy management system is more needed in mobile environment nowadays on account of severe competition among academies and necessity for differentiated instruction and systematic and efficient management. In this study, a mobile academy management prototype app has been developed in order to reduce small-and medium-sized academies' temporal and economic costs by supporting their students' attendance management and communication among parents, students, academies, and instructors in mobile environment.