• Journal of Korea Society of Industrial Information Systems
• /
• v.25 no.3
• /
• pp.21-30
• /
• 2020

With the widespread of smartphones, the Quick response (QR) code became one of the most popular codes. In this paper, a new type of QR code is proposed to increase the storage capacities and also to contain private information by changing the colors and the shape of patterns in the codes. Then, for a variety of applications of the printed QR codes, this paper proposes an efficient authentic certification system, which is built on an conventional CNN (Convolutional neural network) architecture - VGGNet and classifies authentic or counterfeit with smartphones, easily. For authentic codes, the proposed system extracts the embedded private information. Through practical experiments with a printed QR code, it is shown that the proposed system can classify authentic or counterfeit code, perfectly, and also, are useful for extracting private information.

• Journal of Korean Library and Information Science Society
• /
• v.43 no.1
• /
• pp.321-347
• /
• 2012

Recently, the expansion of smart phones, wi-fi. and unlimited service changed our life style from personal computer based to mobile device based. With this trend, a lot of companies and government facilities use QR code as an advertising material, and now the QR code is very popular service in our ordinary life. In the meantime, libraries in abroad and university libraries started using QR code in library service about 2 or 3 years ago, and domestic libraries started using it in service due to the increase of establishment of mobile Library websites. In this research, starting with looking into the literature, I analyzed the examples of the use of QR code in libraries. On the base of it, I drew a QR code library service model, and what needs to be considered for the use of it.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.271-274
• /
• 2017

An educational institution issued a degree certificate to those students who have successfully completed all studies included in different levels of the degree program. The degree certificate presented by the University is of major significance in the person's life but the fabrication and circulation of fake certificates is inexpensive because a paper document can easily be forged with the availability of advance printing and copying technologies. So, there is a need to adopt a centralized authentication process that can verify and ensure the authenticity of a document. In order to prevent the spread of fake degree certificates a method is proposed where the integrity of the contents with in the certificate can be verified with the use of and Smart Phone Application. A Quick Response (QR) Code will contain a digital signature over the data such as degree holder's name, major program, Grade Point Average (GPA) obtained etc. Which will be signed by university authorities after the registration in central system and deployed in university. In order to verify the digital signature a person need to use a specific smart phone application which will scan and authenticate the certificate without gaining access to a user's security credentials such as password.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2016.07a
• /
• pp.243-244
• /
• 2016

은행거래를 하려면 Active X를 기반으로 하는 보안 통합설치프로그램, 공인인증 보안프로그램, 개인 PC방화벽 프로그램 등 보안에 필요한 프로그램을 설치해야한다. 그러나 Active X의 보안취약점으로 앞으로 나올 브라우저에서는 Active X대신 웹 표준 모듈을 기반으로 하는 보안 시스템을 제공하고 있다. 본 논문은 Active X를 대체할 수 있는 것으로 웹 표준 모델에 근거한 QR코드 및 지문인식을 통한 인증을 제안한다. 본 논문에서 제안한 시스템을 적용한다면, 보다 안전한 은행거래를 하는데 도움을 줄 수 있다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06d
• /
• pp.102-104
• /
• 2011

최근 스마트폰 사용자가 빠른 속도로 늘어나면서 'QR(Quick Response)코드가 새로운 마케팅 및 정보의 전달 수단으로 크게 각광받고 있다. 또한, QR코드는 인터넷 주소(URL), 사진 및 동영상 정보, 지도 정보, 명함 정보 등을 제공하는 매우 효율적인 수단으로 작용하고 있다. 하지만 스마트폰으로 무심코 인식한 QR 코드로 인해 악성코드에 감염될 가능성이 높아 사용자 주의가 필요하다. 로그인된 웹 사이트에서 QR 코드를 읽어 웹 브라우저로 접근할 때 XSS(Cross Site Scripting)을 통해 해당 웹사이트의 로그인 정보를 획득하거나 게시판 회원정보와 같은 데이터를 수정할 수도 있기 때문이다. 이에 본 논문에서는 QR 코드의 XSS 공격에 대한 대응방안을 상세히 기술하여 QR 코드를 사용하는 유저들에게 도움이 되고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.07a
• /
• pp.95-96
• /
• 2020

본 논문은 발열 검사시에 QR코드를 이용해 1차적인 본인인증 단계 후 K-NN알고리즘을 통한 얼굴인식으로 2차적인 본인인증 을 거친후 비대면식으로 발열검사가 가능한 방법을 제시하였다. 이를 통해서 추적관리 뿐만 아니라 CCTV영상을 통하여 확진자 발생시 인접 인원 추적까지 가능하고, 신속한 추적관리가 가능하게 제공하였다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.3
• /
• pp.441-447
• /
• 2020

In a situation in which around 50 million metric tons of electrical and electronic products is generated globally per year, the total installed base of Internet of Things (IoT) devices is projected to amount to around 75 billion worldwide by 2025. However, there is very little research on identification schemes for end-of-life treatment (EoLT) of IoT devices. To address this issue, this paper proposes new identifiers including EoLT information such as recyclability rate (Rcyc) and recoverability rate (Rcov) of an IoT device, recycling rate (RCR) and recovery rate (RVR) of each part in the IoT device, etc. and implements them by using object identifier (OID), mobile radio frequency identification (RFID) and quick response (QR) code. The implemented OID and mobile RFID can be used with cooperation of a remote server via communication networks and the implemented QR code can be used simply with a smartphone app.

• Journal of Korea Game Society
• /
• v.11 no.4
• /
• pp.143-149
• /
• 2011

This paper presents a novel camera tracking method based on model with multiple planes. The proposed algorithm detects QR code that is one of the most popular types of two-dimensional barcodes. A 3D model is imported from the detected QR code for augmented reality application. Based on the geometric property of the model, the vertices are detected and tracked using optical flow. A clipping algorithm is applied to identify each plane from model surfaces. The proposed method estimates the homography from coplanar feature correspondences, which is used to obtain the initial camera motion parameters. After deriving a linear equation from many feature points on the model and their 3D information, we employ DLT(Direct Linear Transform) to compute camera information. In the final step, the error of camera poses in every frame are minimized with local Bundle Adjustment algorithm in real-time.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.12
• /
• pp.2906-2913
• /
• 2013

Only small numbers of medium-sized manufacturers have adopted a production management system. They have difficulty maintaining production cost and progress management, because they have used the ways that win a contract, not mass production system like a big company. Also a small company has to change standard features of products whenever customers want, by means of non-standardization and small quantity production method. As a result, it has been very difficult for a small company to establish a proper production management system. So, this paper tried to make a study about increasing production management system, using QR codes in a small-sized manufacturer with the ways that win a contract, based on real application case.

• Journal of Korea Society of Industrial Information Systems
• /
• v.27 no.6
• /
• pp.95-103
• /
• 2022

Quick and accurate understanding of the situation in a severe accident is essential for conducting the appropriate accident management and response using the accident diagnosis information. This study employed deep learning technology to diagnose severe accidents through the major safety parameters transferred from a nuclear power plant (NPP) to AtomCARE. After selecting the major accident scenarios to consider, a learning database was established for particular scenarios affiliated with major scenarios by performing a large number of severe accident analyses using MAAP5 code. The severe accident diagnosis technology, which classifies detailed accident scenarios using the major safety parameters from NPPs, was developed by training it with the established database . Verification and validation were conducted by blind test and principal component analysis. The technology developed in this study is expected to be extended and applied to all severe accident scenarios and be utilized as a base technology for quick and accurate severe accident diagnosis.