Design and Implementation of a Vue.js-Based College Teaching System

Song, Junhui; Zhang, Min; Xie, Hua

doi:10.3991/ijet.v14i13.10709

Cited by 19 publications

(11 citation statements)

References 18 publications

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“…Some scholars propose to combine campus magnetic card or IC card with computer technology to collect and store campus card and student information through the attendance equipment that can be read, so as to be applied to the attendance system [ 7 ]. Other scholars have combined RFID technology to design a system that can carry out attendance and recording simply, quickly, and automatically, which improves the accuracy, efficiency, and timeliness of attendance technology [ 8 ]. As campus cards and other cards are forged, fraudulently used, and embezzled, which reduces the accuracy and authenticity of attendance data, someone developed biometric attendance technology based on computer technology and biological science and technology [ 9 ].…”

Section: Development Of Classroom Attendance Technology In Colleges A...mentioning

confidence: 99%

College Smart Classroom Attendance Management System Based on Internet of Things

Zhao

2022

Computational Intelligence and Neuroscience

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Since entering the information age, educational informatization reform has become the inevitable trend of the development of colleges and universities. The traditional education management methods, especially the classroom attendance methods, not only need to rely on a large number of manpower for data collection and analysis but also cannot dynamically monitor students’ attendance and low efficiency. The development of Internet of things technology provides technical support for the informatization reform of education management in colleges and universities and makes the classroom attendance management in colleges and universities have a new development direction. In this study, a college smart classroom attendance management system based on RFID technology and face recognition technology is constructed under the architecture of the Internet of things, and the corresponding simulation experiments are carried out. The experimental results show that the smart classroom attendance management system based on RFID technology can accurately identify the absence and substitution of students and has the advantages of fast response and low cost. However, its recognition is easily affected by obstructions, which requires students to place identification cards uniformly. The smart classroom attendance management system based on face recognition technology can accurately record and identify the situation of students entering and leaving the classroom and identify the situations of being late and leaving early, absenteeism, and substitute classes. The experimental results are basically consistent with the sample results, and the error rate is low. However, the system is easily affected by environmental light, students’ sitting posture, expression, and other factors, so it cannot be recognized. Generally speaking, both can meet the needs of classroom attendance in colleges and universities and have high accuracy and efficiency.

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Section: Development Of Classroom Attendance Technology In Colleges A...mentioning

confidence: 99%

College Smart Classroom Attendance Management System Based on Internet of Things

Zhao

2022

Computational Intelligence and Neuroscience

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“…It has bi-directional data binding, modularization, componentization, plug-in, lightweight framework and other features, can help developers quickly build pages and reduce the amount of code.It can also be quickly integrated with third-party plug-ins to simplify complex applications and improve development efficiency. Vue framework has been widely used in many fields of systems, such as the MATEC Web of Conferences 355, 02036 (2022) ICPCM2021 https://doi.org/10.1051/matecconf/202235502036 implementation of university online education system, bank front desk system, etc [4] .…”

Section: The Implementation Principle and Advantages Of Vuejs Technologymentioning

confidence: 99%

Research on copyright appointment registration microplatform system based on vue

Sun²,

Yang

et al. 2022

MATEC Web Conf.

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With the rapid development of copyright industry, people’s copyright awareness of their own creation of software and works is constantly improving, the number of applications for software copyright registration and works copyright is increasing. Therefore, how to make copyright registration business becomes more convenient and efficient is imminent. Existing copyright registration system need to first fill through PC and then make an appointment through the phone to deal with relevant business. This model is not only complicated operations, but also poor user experience. Therefore, based on the analysis of multiple needs of users and enterprises, this paper proposes to use Vue,SpringBoot, MyBatis and other technologies to develop a copyright appointment registration system based on microplatform. The development of this system can not only for the user to create a more convenient way of operation, give users a better experience, but also can change, rich business approach, bring more profits.

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“…Vue is a progressive JavaScript framework for building simplistic user-interface design. It is a model-view-view model (MVVM) patterned framework for building a lightweight front-end of the applications [85,86]. Vue JS enables the creation of fast and reliable applications, improves the application's development efficiency, maintains and integrates with other libraries and existing projects, and has a well-thought-out architecture to increase performance and reduce memory consumption [85][86][87][88].…”

Section: Vue Js Frameworkmentioning

confidence: 99%

A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications

2021

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With the expansion of smartphone and financial technologies (FinTech), mobile money emerged to improve financial inclusion in many developing nations. The majority of the mobile money schemes used in these nations implement two-factor authentication (2FA) as the only means of verifying mobile money users. These 2FA schemes are vulnerable to numerous security attacks because they only use a personal identification number (PIN) and subscriber identity module (SIM). This study aims to develop a secure and efficient multi-factor authentication algorithm for mobile money applications. It uses a novel approach combining PIN, a one-time password (OTP), and a biometric fingerprint to enforce extra security during mobile money authentication. It also uses a biometric fingerprint and quick response (QR) code to confirm mobile money withdrawal. The security of the PIN and OTP is enforced by using secure hashing algorithm-256 (SHA-256), a biometric fingerprint by Fast IDentity Online (FIDO) that uses a standard public key cryptography technique (RSA), and Fernet encryption to secure a QR code and the records in the databases. The evolutionary prototyping model was adopted when developing the native mobile money application prototypes to prove that the algorithm is feasible and provides a higher degree of security. The developed applications were tested, and a detailed security analysis was conducted. The results show that the proposed algorithm is secure, efficient, and highly effective against the various threat models. It also offers secure and efficient authentication and ensures data confidentiality, integrity, non-repudiation, user anonymity, and privacy. The performance analysis indicates that it achieves better overall performance compared with the existing mobile money systems.

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Design and Implementation of a Vue.js-Based College Teaching System

Cited by 19 publications

References 18 publications

College Smart Classroom Attendance Management System Based on Internet of Things

College Smart Classroom Attendance Management System Based on Internet of Things

Research on copyright appointment registration microplatform system based on vue

A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications

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