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Journal articles on the topic 'System card'

Author: Grafiati

Published: 11 December 2022

Last updated: 31 July 2025

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1

&NA;. "Yellow card system given the red card?" Reactions Weekly &NA;, no. 395 (1992): 4. http://dx.doi.org/10.2165/00128415-199203950-00005.

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Patil, Pravin. "Card Defender - Credit Card Fraud Detection System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 4775–80. http://dx.doi.org/10.22214/ijraset.2023.52748.

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Abstract: As the world becomes increasingly digitized, online transactions have become an indispensable part of our daily lives. The increased use of credit cards for online purchases has resulted in a growing concern about credit card fraud, both for businesses and consumers. To combat this issue, we propose a two-factor authentication system that integrates credit card verification with webcam-based face recognition technology to prevent online transaction fraud. Our system provides a reliable and user-friendly solution for credit card fraud detection using face recognition. By implementing

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3

Nieland, C. "System on Card." wt Werkstattstechnik online 91, no. 12 (2001): 755. http://dx.doi.org/10.37544/1436-4980-2001-12-755.

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4

Jackson, Keith. "Tandata smart card system." Computer Fraud & Security Bulletin 10, no. 12 (1988): 21–23. http://dx.doi.org/10.1016/0142-0496(88)90111-7.

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Wendt, F., and Vignali. "The Quick Card system." Management Decision 34, no. 8 (1996): 48–59. http://dx.doi.org/10.1108/00251749610128121.

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Ma, Li Juan, Yun Juan Liang, Shi Yong Li, and Yong Huang. "Chest Card Recognition System Design." Advanced Materials Research 267 (June 2011): 56–59. http://dx.doi.org/10.4028/www.scientific.net/amr.267.56.

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Chest Card recognition system is to use computer image analysis, extract effective chest card information, used to judge the chest card information, it has wide application: the chest card recognition in and out management system, the chest card recognition disucssed system, employee management, etc. This paper mainly based on image processing technology, introduces the design of the chest card recognition system, focusing on the introduction of the two key steps: the realization of chest card positioning and chest card recognition.

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., Aakash, Akash Kuma, and Ravi Pratap Singh. "Credit Card Fraud Detection System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 3850–52. http://dx.doi.org/10.22214/ijraset.2022.43240.

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Abstract: In today’s world everything is online which also increases the chances of fraud. There are approximately 36.4 percent fraud related to commercial cards which include credit card, debit card, etc. In 2022 there are 64 million people who uses credit card to initiate the transaction, therefore they are also prone to the card fraud. So, in this document we talk about the various machine learning algorithms to predict the credit card fraud based on the previous transaction pattern. Keywords: K nearest neighbour, Machine learning, Credit card, decision tree, random forest

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Hadi, Sholikul, Didin Hafidudhin, and Hendri Tanjung. "Comparison of Conventional Systems Credit Card and Credit Card Shariah as Alternative Construction Credit Card on Banking System." Jurnal Manajemen 8, no. 1 (2018): 1. http://dx.doi.org/10.32832/jm-uika.v8i1.733.

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<p>This study was motivated by the presence of different views on whether or not<br />allowed to use Islamic credit cards, although the Indonesian Council of Ulama (MUI) has issued a fatwa on the permissibility of the card. Given these differences, this study examines the operating system on credit cards in terms of Islamic law, a difference of conventional and Islamic Credit Card and alternative solutions Credit Card reconstruction system in accordance with the Islamic Shari'ah and can be applied in the modern economy.The results showed (1) Credit Card operating system in terms of

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Liu, Qing, and Dao Huang. "Dynamic card number adjusting strategy in card-based production system." International Journal of Production Research 47, no. 21 (2009): 6037–50. http://dx.doi.org/10.1080/00207540802192134.

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Ramapraba, Dr P. S. "Aadhar Card based Voting System." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (2018): 2778–82. http://dx.doi.org/10.22214/ijraset.2018.3447.

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Shiju, D. Wilfred. "Smart Card Health Security System." Research Journal of Pharmacy and Technology 10, no. 10 (2017): 3527. http://dx.doi.org/10.5958/0974-360x.2017.00635.7.

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Madkaikar, Kartik, Manthan Nagvekar, Preity Parab, Riya Raika, and Supriya Patil. "Credit Card Fraud Detection System." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (2021): 158–62. http://dx.doi.org/10.35940/ijrte.b6258.0710221.

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Credit card fraud is a serious criminal offense. It costs individuals and financial institutions billions of dollars annually. According to the reports of the Federal Trade Commission (FTC), a consumer protection agency, the number of theft reports doubled in the last two years. It makes the detection and prevention of fraudulent activities critically important to financial institutions. Machine learning algorithms provide a proactive mechanism to prevent credit card fraud with acceptable accuracy. In this paper Machine Learning algorithms such as Logistic Regression, Naïve Bayes, Random Fores

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Mathew, Alexander, Gayatri Moindi, Ketan Bende, and Neha Singh. "Credit Card Fraud Prediction System." Journal of Advance Research in Computer Science & Engineering (ISSN: 2456-3552) 2, no. 3 (2015): 30–35. http://dx.doi.org/10.53555/nncse.v2i3.481.

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Identity crime is common, and pricey, and credit card fraud is a specific case of identity crime. The existing systems of known fraud matching and business rules have restrictions. To remove these negative aspects in real world, this paper proposes a data mining approach: Communal Detection (CD) and Spike Detection (SD). CD finds real social relationships to reduce the suspicion score, and is impervious to fake social relationships. This approach on a fixed set of attributes is whitelist-oriented. SD increases the suspicion score by finding discrepancies in duplicates. These data mining approa

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More, Anushka, Nidhi Musale, Himani Ranpariya, Sarthak Salunke, and Prof Sujit Tilak. "Credit Card Fraud Detection System." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 776–80. http://dx.doi.org/10.22214/ijraset.2022.40744.

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Abstract: Credit Cards are quite useful for day to day life. The main aim of this project is to detect fraud accurately. With the increase in fraud rates, researchers have started using different machine learning methods to detect and analyze frauds in online transactions. 'Fraud' in credit card transactions is unauthorized and unwanted usage of an account by someone other than the owner of that account. Fraud detection involves monitoring the activities of users in whole in order to estimate, perceive or avoid objectionable behavior, which consist of fraud, intrusion, and defaulting. The prob

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Vayrnen, Seppo, Satu Hoikkala, Lasse Ketola, and Jukka Latva-Ranta. "Finish Occupational Safety Card System." International Journal of Technology and Human Interaction 4, no. 1 (2008): 15–34. http://dx.doi.org/10.4018/jthi.2008010102.

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Trigwell, Keith. "THE CRIB CARD EXAMINATION SYSTEM." Assessment & Evaluation in Higher Education 12, no. 1 (1987): 56–65. http://dx.doi.org/10.1080/0260293870120106.

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17

Doederlein, Dieter D. "Talking trading card player system." Journal of the Acoustical Society of America 111, no. 5 (2002): 1972. http://dx.doi.org/10.1121/1.1486384.

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Shashank Singh and Meenu Garg. "Credit Card Fraud Detection System." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 24–27. http://dx.doi.org/10.46501/ijmtst061205.

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It is essential that Visa organizations can distinguish false Mastercard exchanges so clients are not charged for things that they didn't buy. Such issues can be handled with Data Science and its significance, alongside Machine Learning, couldn't be more important. This undertaking expects to outline the demonstrating of an informational collection utilizing AI with Credit Card Fraud Detection. The Credit Card Fraud Detection Problem incorporates demonstrating past Visa exchanges with the information of the ones that ended up being extortion. This model is then used to perceive if another exch

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Baker, N. W., L. K. Baldwin, and L. M. Nelson. "Hospital computerized diet card system." Journal of the American Dietetic Association 94, no. 9 (1994): A41. http://dx.doi.org/10.1016/0002-8223(94)91723-x.

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Ernest, Makombe, Chatola Fanny, J. Pradeep, and G. Glorindal. "Credit card fraud detection system." i-manager's Journal on Digital Forensics & Cyber Security 1, no. 2 (2023): 12. http://dx.doi.org/10.26634/jdf.1.2.20064.

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Credit card fraud is a significant problem for financial institutions and cardholders and can result in significant financial losses and damage to reputation. Detecting and preventing fraud in credit card transactions is critical to minimizing losses and maintaining customer trust. The main objective of this project is to build a model (a web-based system) that can effectively identify fraudulent transactions. This involves collecting and processing large datasets of credit card transactions, including both legitimate and fraudulent transactions, and using machine learning algorithms like deci

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21

Gupta, Bulbul. "Credit Card Fraud Detection System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3095–102. https://doi.org/10.22214/ijraset.2025.68703.

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Credit card fraud poses a significant threat to financial security, leading to substantial monetary losses and risks for both consumers and financial institutions. Detecting fraudulent transactions accurately is challenging due to the high class imbalance in credit card transaction datasets. This study employs machine learning techniques to detect fraudulent transactions using the publicly available creditcard.csv dataset. Data preprocessing steps such as feature scaling, handling imbalanced data, and exploratory data analysis (EDA) are applied to enhance model performance. The study primarily

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Yadav, Abhijit. "Credit Card Fraud Detection System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47498.

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1. ABSTRACT The growing dependency on electronic payments has resulted in a sharp escalation of credit card fraud, severely threatening financial security globally. The present study emphasizes the creation of an effective Credit Card Fraud Detection System that employs machine learning and data analysis algorithms to detect suspicious transactions quickly and precisely. The system analyzes transaction information to determine anomalies and separate authentic from false activities. Different classification techniques like logistic regression, decision trees, random forests, and support vector

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23

Kartik, Madkaikar, Nagvekar Manthan, Parab Preity, Patil Supriya, and Patil Supriya. "Credit Card Fraud Detection System." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (2021): 158–62. https://doi.org/10.35940/ijrte.B6258.0710221.

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Credit card fraud is a serious criminal offense. It costs individuals and financial institutions billions of dollars annually. According to the reports of the Federal Trade Commission (FTC), a consumer protection agency, the number of theft reports doubled in the last two years. It makes the detection and prevention of fraudulent activities critically important to financial institutions. Machine learning algorithms provide a proactive mechanism to prevent credit card fraud with acceptable accuracy. In this paper Machine Learning algorithms such as Logistic Regression, Naïve Bayes, Random

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Aren, Harshit, Ambuj Singh, and Joney Kumar. "Credit Card Application Management System." International Journal of Science and Social Science Research 2, no. 4 (2025): 393–98. https://doi.org/10.5281/zenodo.15108211.

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In the modern banking industry, efficient and accurate credit card application processing is crucial. Traditional methods rely heavily on manual verification and rule based systems, which can be time-consuming and prone to errors. This research explores the use of machine learning (ML) techniques to improve the accuracy and efficiency of credit card application management. Various ML algorithms, including decision trees, logistic regression, and neural networks, are analyzed for their predictive capabilities in determining the creditworthiness of applicants. The study demonstrates how ML can e

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25

Lv, Wei Chun. "Design of Campus Smart Card System." Applied Mechanics and Materials 347-350 (August 2013): 3915–18. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3915.

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With the fast development of campus informationization, the complexity of comsumption types and identification of college teachers and students also increases, which raises more strigent requirements to college management. This essay illustes the overall planning of campus Smart Card system, discussing the construction target and technical requirements of campus card system, designing the general frameworkd and putting forward the design plan of the construction of campus Smart Card system.

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V L, Manoj. "CryptoCard: Blockchain-Powered Library Card Management System." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 4215–20. http://dx.doi.org/10.22214/ijraset.2024.60877.

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Abstract: Institutions such as libraries often face challenges in managing and verifying the authenticity of issued library cards. Traditional methods of card issuance and verification may be susceptible to fraud and manipulation. To address these challenges, we present a Blockchain-Enabled Library Card Management System. Our system leverages blockchain technology to securely store and manage library card data. Each library card issuance is recorded as a block on the blockchain, ensuring transparency, immutability, and tamper-resistance. Digital signatures generated using the Elliptic Curve Di

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27

Peng, Ming Liang, and Dai Ping Li. "Optimization of Smart Card File System." Applied Mechanics and Materials 556-562 (May 2014): 5951–53. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5951.

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Through analysis on the card file system, VFS, NTFS ,etc,by combining present technology advancement and market demands,which builds a new kind of smart card file system framework that makes the file system more faster and stronger .

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28

Ozdenizci Kose, Busra, Alp Sardag, Vedat Coskun, and Ali Mantar. "Enhancing SIM Card Technology: Developing an Advanced Operating System." Advances in Cyber-Physical Systems 8, no. 1 (2023): 35–42. http://dx.doi.org/10.23939/acps2023.01.035.

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The emergence of smart cards is a significant achievement in the field of information technology. They are growing in importance as they offer secure data storage and authentication, improve security, simplify processes, reduce costs, and have a variety of applications. In particu- lar, nowadays SIM cards play a vital role in the Telecom industry as an important type of smart card that allows a user to make calls, send messages, store details such as phone number and network authentication information, and provide various mobile data services. Currently, some leading companies take advantage o

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Shanmugapriya, P., R. Shupraja, and V. Madhumitha. "Credit Card Fraud Detection System Using CNN." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 1056–60. http://dx.doi.org/10.22214/ijraset.2022.40799.

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Abstract: This Project is focused on credit card fraud detection in real-world scenarios. Fraud is one of the major ethical issues in the credit card industry. In this era we can see many innovative financial services like ATMs, online banking, etc. Besides, along with the rapid advances of e-commerce, the use of credit cards has become a convenient and necessary part of financial life. A credit card is a payment card supplied to customers as a system of payment. Using a third-person credit card or its information without the knowledge of that person is referred to as credit card fraud. Applic

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SNEHLATA, BARDE. "A MULTIMODAL BIOMETRIC SYSTEM-AADHAR CARD." i-manager’s Journal on Image Processing 5, no. 2 (2018): 1. http://dx.doi.org/10.26634/jip.5.2.14312.

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31

Niu, Junhao, Chuanpei Xu, Peng Chen, and Mengxiang Liang. "Design of RFID Card Reading System." Procedia Engineering 29 (2012): 325–28. http://dx.doi.org/10.1016/j.proeng.2011.12.716.

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32

M'Chirgui, Zouhaı̈er. "Smart card industry: a technological system." Technovation 25, no. 8 (2005): 929–38. http://dx.doi.org/10.1016/j.technovation.2004.02.004.

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Ms., Sonika A. Chorey*1 Ms. Priyanka A. Chorey2 &. Nilesh S. Pohokar3. "SMART CARD BASED CAR PARKING SYSTEM." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 7, no. 4 (2020): 20–26. https://doi.org/10.5281/zenodo.3757407.

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As in the modern world everything is going automatic we have built a system which will automatically sense the entry and exit of cars through the gate and then display the number of cars in the parking lot. This paper shows the concept of an automatic car parking system. Check-ins and check-outs will be handled in a fast manner without having to stop the cars so that traffic jam problem will be avoided during these processes. Since there won't be any waiting during check-ins and check-outs the formation of emission gas as a result of such waiting will be avoided. Therefore, by this work de

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34

Kok, Esther. "Trading Card Project." Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), no. 175 (March 13, 2025): 25–32. https://doi.org/10.15353/acmla.n175.6395.

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Hamilton Street Railway, the city of Hamilton, Ontario’s public transportation system, has a long history. The system was first run by horse-drawn cars, but was electrified in 1892 — around the same time that innovation surrounding electricity transmission came to Hamilton. It consisted of various routes around the city, including the “Belt Line,” which connected the east and west ends of the city. The system, along with four interurban lines that went to Burlington, Beamsville, Dundas, and Brantford, were eventually purchased by the utility company, Dominion Power and Transmission. The street

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Rao, K. Aditya, and Dr Ganesh D. "Survey Paper on Credit card Fraud Detection System." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 1361–67. http://dx.doi.org/10.22214/ijraset.2022.41524.

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Abstract: Credit card fraud detection is presently the most frequently occurring problem in the present world. This is due to the rise in both online transactions and e-commerce platforms. Credit card fraud generally happens when the card was stolen for any of the unauthorized purposes or even when the fraudster uses the credit card information for his use. In the present world, we are facing a lot of credit card problems. To detect the fraudulent activities the credit card fraud detection system was introduced.

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Sanskrati Agarwal and Usha J. "Detection of fraud card and data breaches in credit card transactions." International Journal of Science and Research Archive 9, no. 2 (2023): 576–82. http://dx.doi.org/10.30574/ijsra.2023.9.2.0603.

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Data breaches and credit card fraud are now among the biggest problems affecting financial organizations and customers globally. The purpose of this study is to develop an effective fraud detection system that can detect fraudulent credit card transactions and prevent data breaches. The strategy proposed in this paper makes use of machine learning techniques like decision trees and logistic regression, to analyze large datasets of credit card transactions and identify suspicious patterns. The proposed system also includes a real-time monitoring mechanism that alerts the relevant authorities in

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Zhang, De Min. "Elevator Smart Security System." Advanced Materials Research 403-408 (November 2011): 2247–50. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2247.

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The elevator smart security system provides a good method to access the elevator car buttons. It uses contactless smart card to active the car buttons. Only after brushing the authorized card, the car buttons can be selected, so the passenger can take the elevator to his home floor. Visitor can take the elevator via a visitor automatic controller not using card.

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KURANISHI, MAKOTO. "Security by IC Card System in Medical Information System." Japanese Journal of Radiological Technology 54, no. 2 (1998): 268–76. http://dx.doi.org/10.6009/jjrt.kj00003109882.

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Singh, HarshVardhan. "Credit Card Fraud Detection." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 2238–44. http://dx.doi.org/10.22214/ijraset.2024.62049.

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Abstract: The primary objective of this project is to implement a front-end system for credit card fraud detection, leveraging machine learning algorithms to identify and flag potentially fraudulent transactions in real-time. The system will provide users with a seamless and intuitive interface to interact with the underlying fraud detection models, enabling proactive mitigation of fraudulent activities. Design and develop an intuitive front-end interface that allows users to interact with the fraud detection system. The front-end will provide functionalities such as inputting transaction deta

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40

Yoon, Donghun. "A generic conceptual model and actual systems of IC-card: the case of Japan's IC-card system." International Journal of Business Performance and Supply Chain Modelling 3, no. 2 (2011): 99. http://dx.doi.org/10.1504/ijbpscm.2011.041373.

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41

Krasniqi, Gazmend, and Kristaq Filipi. "Efficiency Comparison of Cryptographic Applications, Match-off-Card vs. Match-on-Card, Using National Biometric eID Card." Academic Journal of Interdisciplinary Studies 8, no. 1 (2019): 77–86. http://dx.doi.org/10.2478/ajis-2019-0008.

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Abstract Recently, not only the Internet and mobile devices are changing our daily life but also the usage of national biometric card for every government electronic services. Beside citizen authentication these electronic services require users to encrypt and digitally sign their data or documents. Therefore, biometric cards are used as processing devices for cryptographic applications, whereby there are a lot of security aspects required for secure communication, authentication and encryption among them. Those aspects will be tested in different environments, platforms, devices, PCs, mobile

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Yang, Jian Ning, and Kun Lin. "Campus Card Information Query System Design and Implementation." Applied Mechanics and Materials 467 (December 2013): 574–77. http://dx.doi.org/10.4028/www.scientific.net/amm.467.574.

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Prabha, R., M. Mohamed Suhail, N. Muralidhar, R. Sangeetha, and J. Yameen Ahamed. "Credit Card Transaction System Using Secured Software." March 2024 6, no. 1 (2024): 60–69. http://dx.doi.org/10.36548/jitdw.2024.1.005.

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The Credit Card Transaction System, is developed using the XAMPP server-a combination of Apache, MySQL, Perl, and PHP-is a dependable and secure financial software solution. For seamless credit card transactions, this system places a strong emphasis on functionality and security. The Apache web server ensures user accessibility by enabling the online application to be hosted on a stable platform. MySQL, a relational database management system, securely stores and manages sensitive data, protecting its security and integrity. The program integrates PHP and Perl scripts to process payments, whic

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Shaaban, Amira, Ashraf Hussein, Esraa Shokry, Olaa Alaa-Eldin, Mohsen Rashwan, and Hassanin Barhamtoshy. "ID Card Recognition Based on ArabicOCR System." Egyptian Journal of Language Engineering 1, no. 2 (2014): 35–49. http://dx.doi.org/10.21608/ejle.2014.59924.

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Sunaga, Y., T. Okada, and K. Arai. "Lighting control system with magnetic card timer." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 69, Appendix (1985): 40. http://dx.doi.org/10.2150/jieij1980.69.appendix_40.

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Shukla, Priyanka. "Wireless Library Record System Using RFID Card." International Journal for Research in Applied Science and Engineering Technology V, no. III (2017): 185–89. http://dx.doi.org/10.22214/ijraset.2017.3034.

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Nsengumuremyi, Leandre. "Smart Id Card System using RFID Technology." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (2018): 1842–49. http://dx.doi.org/10.22214/ijraset.2018.5301.

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Myint, Htay, and May Zaw Tun. "Secure Door Control System using RFID Card." International Journal of Advances in Scientific Research and Engineering 06, no. 04 (2020): 69–73. http://dx.doi.org/10.31695/ijasre.2020.33787.

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SPINELLA, MARCELLO, BIJOU YANG, and DAVID LESTER. "PREFRONTAL SYSTEM DYSFUNCTION AND CREDIT CARD DEBT." International Journal of Neuroscience 114, no. 10 (2004): 1323–32. http://dx.doi.org/10.1080/00207450490476011.

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Kistermann, F. W. "Hollerith punched card system development (1905-1913)." IEEE Annals of the History of Computing 27, no. 1 (2005): 56–66. http://dx.doi.org/10.1109/mahc.2005.8.

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