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Journal articles on the topic 'Automated pin setter machine'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

Wang, Y., Z. Wang, N. Gindy, R. Tang, and X. J. Gu. "Automated discrete-pin adjustment for reconfigurable moulding machine." International Journal of Computer Integrated Manufacturing 23, no. 3 (2010): 229–36. http://dx.doi.org/10.1080/09511920903527853.

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2

Tian, Wenchao, Pengchao Zhang, Mingfang Tian, Si Chen, Haoyue Ji, and Bingxu Ma. "Cam Design and Pin Defect Detection of Cam Pin Insertion Machine in IGBT Packaging." Micromachines 16, no. 7 (2025): 829. https://doi.org/10.3390/mi16070829.

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Packaging equipment plays a crucial role in the semiconductor industry by enhancing product quality and reducing labor costs through automation. Research was conducted on IGBT module packaging equipment (an automatic pin insertion machine) during the pin assembly process of insulated gate bipolar transistor (IGBT) modules to improve productivity and product quality. First, the manual pin assembly process was divided into four stages: feeding, stabilizing, clamping, and inserting. Each stage was completed by separate cams, and corresponding step timing diagrams are drawn. The profiles of the fo

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3

Nwankwo, C., G. Oletu, and O. B. Longe. "Security Enhancement of an Automated Teller Machine Using Fingerprint and Password." advances in multidisciplinary & scientific research journal publication 26, no. 1 (2020): 45–50. http://dx.doi.org/10.22624/isteams/v26p5-ieee-ng-ts.

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This paper focuses on how to enhanced security of Transactions in Automatic Teller Machine system using a multi-factor authentication system (Password and Fingerprint). In order to achieve security and to overcome illegal activities, shortcoming of piracy in money transactions, we propose the idea of using fingerprints of customers and password instead of traditional use of PIN number. After authorized verification, the customer will be able to proceed for transaction else after four successive wrong attempts, the ATM card will be ejected automatically and a message will be sent to the registe

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Pradeep Kumar, S., and N. Shanmugasundaram. "Pin number theft recognition and cash transaction using sixth sense technology in ATM/CDM." International Journal of Engineering & Technology 7, no. 2.31 (2018): 178. http://dx.doi.org/10.14419/ijet.v7i2.31.13435.

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Nowadays peoples using credit/debit card for cash transaction for their daily needs. Meanwhile for deposit and withdrawal of huge amount the consumers use the automated teller machine or cash deposit machine. Due to this the crime related to ATM like pin number theft, fraud calls etc increasing day by day. This paper aim to reduce the risk related to pin number theft. We proposed a sixth sense technology which can access by our gestural interface to do the normal operation for cash transaction rather than touching the pin number plate which will be helpful for eliminating the theft related wit

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E. Divya et al. "Face Recognition Based New Generation ATM Machine." Proceeding International Conference on Science and Engineering 11, no. 1 (2023): 1241–50. http://dx.doi.org/10.52783/cienceng.v11i1.268.

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Automated Teller Machines are widely used nowadays by people. But it’s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN. The ATM card may get damaged and users can have a situation where they can’t get access to their money. The main aim of the project is to design a Face Recognition Based New Generation ATM Machine using MATLAB. This application is processed in the ATM security framework to improve the verification strategies to improve innovation.

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Oladimeji, Ismaila W., Omidiora E. Olusayo, Ismaila Folasade M., and Falohun Adeleye S.. "Multi-Level Access Control System in Automated Teller Machines." International Journal of Computer Science and Mobile Computing 10, no. 4 (2021): 146–55. http://dx.doi.org/10.47760/ijcsmc.2021.v10i04.020.

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E-commerce theft involves using lost/stolen debit/credit cards, forging checks, misleading accounting practices, etc. Due to carelessness of cardholders and criminality activities of fraudsters, the personal identification number (PIN) and using account level based fraud detection techniques methods are inadequate to cub the activities of fraudsters. In recent times, researchers have made efforts of improving cyber-security by employing biometrics traits based security system for authentication. This paper proposed a multi-level fraud detection system in automated teller machine (ATM) operatio

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Moorthy, Kohbalan, Kauthar Mohd Daud, Steven R. Arokiasamy, and Md Raihanul Islam Tomal. "HYBRID BIOMETRIC AUTHENTICATION FOR AUTOMATIC TELLER MACHINE." International Journal of Software Engineering and Computer Systems 10, no. 1 (2024): 32–39. http://dx.doi.org/10.15282/ijsecs.10.1.2024.3.0121.

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Automated Teller Machines (ATMs) are a crucial part of modern life, providing users with the ability to conduct basic banking transactions electronically without the need for bank representatives. These machines are ubiquitous, particularly in developed countries, and their usage is expanding rapidly across the globe. However, this widespread adoption has highlighted significant security concerns for general users. Traditional security measures, such as Personal Identification Numbers (PINs), are increasingly proving insufficient due to issues like card theft, ATM scams, and other security bre

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Rameshwaraiah, Dr K. "Customer Churn Analysis Using Feature-Based Decision Classifier." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45235.

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To survive in the highly competitive marketplace, customer retention forms the backbone of any business for long-term success. Being able to identify customers that are at risk of churning allows the organization to take measures in time to decrease client attrition and optimize customer lifetime value. In this regard, the work creates a broader system for churn prediction that entails machine learning algorithms-logistic regression, random forest, K-nearest neighbors-and a custom classifier based on decision rules tailored for ad hoc business conditions. It involves interfacing with multiple

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S Monish, Dr.K.Radhika, S Naveenkumar, and R Ponkumar. "Design and Implementation of ATM Security Using IOT." international journal of engineering technology and management sciences 9, no. 2 (2025): 234–43. https://doi.org/10.46647/ijetms.2025.v09i02.031.

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This paper proposes a secured ATM (Automated Teller Machine) system thatenhances traditional security protocols by incorporating a card scanning system along with a linkbased authentication feature. Current ATM systems typically rely on a two-factor authenticationmodel, where the user must have the ATM card and know the PIN. However, this method remainsvulnerable to fraud if an attacker gains access to both the card and PIN. The proposed systemaddresses this issue by adding an extra layer of security: a link-based authentication process. In thissystem, after the user scans their ATM card and e

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10

Okolie, C.C., W.C. Ahiara, and E.R. Nwogu. "A Cardless Automated Teller Machine (ATM) Transaction Using Hybrid Security Approach." Nigerian Research Journal of Engineering and Environmental Sciences 8, no. 2 (2023): 533–41. https://doi.org/10.5281/zenodo.10442781.

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<em>Due to the tremendous increase in the number of criminals and their activities, the Automated Teller Machine (ATM) has become insecure. This necessitated an urgent need to improve security in ATM transactions. However, the ATM systems in use today utilize no more than an access card along with either a Personal Verification Number (PIN) or fingerprint for identity verification, and so not sufficient or sophisticated enough to combat the rising security threats. For that, other attendant security techniques such as users’ mobile number, facial recognition, and One Time Password (OTP)

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11

Liu, Qing Li, Lei Shen, Albert Tsai, Su Fen Yao, and Edmund Wang. "The Parametric Simulation Design Method of Conjugate Cams of Automatic Pin Insertion Machine Based on Creo Parametric Software." Applied Mechanics and Materials 236-237 (November 2012): 1201–4. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.1201.

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Cam mechanisms are widely used in automated machines. Conjugate cams have become popular for its eminent kinematics and dynamic performance in research and in industry. As a commonly used cam mechanism in industry, especially in automatic pin insertion machines, conjugate cams have the advantages of being highly efficient, highly accurate and relatively cheap. A parametric simulation method was used to create a conjugate cam profile. This paper describes the steps used to create 3D models of the conjugate cam and the basic principles used to simulate the motion of cam mechanisms. The motion si

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Stekolnikov, M. V., L. R. Milovanova, and I. A. Chelysheva. "Modelling of Mechanisms as a Methodological Tool (the Case of Designing a Cycloidal Pin Transmission)." World of Transport and Transportation 19, no. 4 (2022): 40–46. http://dx.doi.org/10.30932/1992-3252-2021-19-4-5.

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The suggested modern approach to modelling of objects and systems allows not only to create models but also to use them to study the main properties of the object (system) with a high degree of clarity and adequacy, as well as to develop most important skills of young engineers in creating and implementing digital models of engineering objects.The objective of the study is to analyse capacity of one of the modern automated computational design systems as a methodological tool.The functionality of an automated computational design system is considered for the case of constructing a model of a p

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Rathee, Munish, Boris Bačić, and Maryam Doborjeh. "Hybrid Machine Learning for Automated Road Safety Inspection of Auckland Harbour Bridge." Electronics 13, no. 15 (2024): 3030. http://dx.doi.org/10.3390/electronics13153030.

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The Auckland Harbour Bridge (AHB) utilises a movable concrete barrier (MCB) to regulate the uneven bidirectional flow of daily traffic. In addition to the risk of human error during regular visual inspections, staff members inspecting the MCB work in diverse weather and light conditions, exerting themselves in ergonomically unhealthy inspection postures with the added weight of protection gear to mitigate risks, e.g., flying debris. To augment visual inspections of an MCB using computer vision technology, this study introduces a hybrid deep learning solution that combines kernel manipulation w

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Khopkar, Shlok Kailas. "ATM Based Face Recognitions System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 3612–16. http://dx.doi.org/10.22214/ijraset.2023.52401.

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Abstract: Automated Teller Machines are widely used nowadays by people. But it’s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. The ATM card may get damaged and users can have a situation where they can’t get access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATMcard is encouraged. Here, The Face ID is preferred to high priority, as the combination of these biometrics proved to be the best among the identification and verification techniques. The implementation of ATM machines comes with

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15

Khaple, Prof Arunadevi. "Research Paper on ATM Based on Face Recognitions System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 5566–72. http://dx.doi.org/10.22214/ijraset.2023.52896.

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Abstract: Automated Teller Machines are widely used nowadays by people. But it’s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. The ATM card may get damaged and users can have a situation where they can’tget access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATM card is encouraged. Here, The Face ID is preferred to high priority, as the combination of these biometrics proved to be the best among the identification and verification techniques. The implementation of ATM machines comes with

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16

Che, Chenggang, and Jun Ni. "Modeling and Calibration of a Structured-light Optical CMM via Skewed Frame Representation." Journal of Manufacturing Science and Engineering 118, no. 4 (1996): 595–603. http://dx.doi.org/10.1115/1.2831072.

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A new tetrahedron-target-based approach is presented for the extrinsic calibration of a non-contact “light-striping” (structured light) optical coordinate measuring machine (CMM). The procedure makes automated on-line calibration possible. The system modeling is based on a unique skewed frame representation without the use of pin-hole camera model assumption. It is demonstrated that the extrinsic calibration matrix can be decomposed into two classes of transformations, one homogeneous and the other nonhomogeneous. The nonhomogeneous transformation between a Cartesian world frame and the non-Ca

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17

Lee, Wei-chen, and Kuan-Chuan Huang. "Measuring the Positions of the Solder Pins of Electrical Connectors from the Side." Applied Sciences 12, no. 17 (2022): 8772. http://dx.doi.org/10.3390/app12178772.

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In the electronics industry, it is common to measure the positions of the solder pins of electrical connectors from the bottom using the automated optical inspection (AOI) technique. However, the pins’ surfaces facing the camera of the AOI system may generate image noises, leading to inaccurate measurement results. The objective of the paper is to develop a machine vision system with an algorithm to measure the pin position from the side. Two images must be captured in different view directions so that the algorithm can use the information on the images to calculate the positions of the pins.

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18

R, Narmatha, Reshma J, Jeevitha K, and Janani C. "Advanced High Secured Smart ATM System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 1511–15. http://dx.doi.org/10.22214/ijraset.2023.51803.

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Abstract: Automated Teller Machines are widely used nowadays by people. But It’s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. The ATM card may get damaged and users can have a situation where they can’t get access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATM card is encouraged. Here, The Face ID is preferred to high priority, as the combination of these biometrics proved to be the best among the identification and verification techniques. The implementation of ATM machines comes wit

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Corbett, Matthew, Brendan David-John, Jiacheng Shang, and Bo Ji. "ShouldAR: Detecting Shoulder Surfing Attacks Using Multimodal Eye Tracking and Augmented Reality." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 3 (2024): 1–23. http://dx.doi.org/10.1145/3678573.

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Shoulder surfing attacks (SSAs) are a type of observation attack designed to illicitly gather sensitive data from "over the shoulder" of victims. This attack can be directed at mobile devices, desktop screens, Personal Identification Number (PIN) pads at an Automated Teller Machine (ATM), or written text. Existing solutions are generally focused on authentication techniques (e.g., logins) and are limited to specific attack scenarios (e.g., mobile devices or PIN Pads). We present ShotjldAR, a mobile and usable system to detect SSAs using multimodal eye gaze information (i.e., from both the pote

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Venkutuswamy, Radhika, and Baskaran Kaliyaperumal. "Improving fault identification in smart transmission line using machine learning technique." International Journal of Applied Power Engineering (IJAPE) 12, no. 4 (2023): 359–66. https://doi.org/10.11591/ijape.v12.i4.pp359-366.

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In this work inevitable for power transmission boards such as Tamil Nadu Generation and Distribution Corporation Limited (TANGEDCO) to look for a low-cost communication system with low power usage and to improve supply reliability, to transmit reliable fault information back to the control centre in real time. This work aims to design an automated and effective fault identification and position system for all overhead power transmission network networks using all current fault indicator technologies, machine learning methods, and commercially tested communication technology to easily and relia

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Ghozali, Mohammad Shiddiq. "PEMBUATAN PENDETEKSI OBYEK DENGAN METODE YOU ONLY LOOK ONCE (YOLO) UNTUK AUTOMATED TELLER MACHINE (ATM)." Majalah Ilmiah UNIKOM 17, no. 1 (2019): 69–76. http://dx.doi.org/10.34010/miu.v17i1.2225.

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Perkembangan Teknologi Informasi dan Komunikasi begitu pesat di zaman sekarang ini. Diikuti pula dengan perkembangan di bidang Artificial Intelligence (AI) atau Kecerdasan Buatan. Di Indonesia sendiri masih belum begitu populer dikalangan masyarakat akan tetapi perusahaan-perusahaan IT berlomba-lomba menciptakan inovasi dibidang Kecerdasan Buatan dan penerapan Kecerdasan Buatan disegala aspek kehidupan. Contoh kasus di Automated Teller Machine (ATM), seringkali terjadi kejahatan di ATM seperti pengintaian nomor pin, skimming, lebanese loop dan kejahatan lainnya. Walaupun di ATM sudah terdapat

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Wasril, Abi Rachman, Mohammad Shiddiq Ghozali, and M. Banu Mustafa. "PEMBUATAN PENDETEKSI OBYEK DENGAN METODE YOU ONLY LOOK ONCE (YOLO) UNTUK AUTOMATED TELLER MACHINE (ATM)." Majalah Ilmiah UNIKOM 17, no. 1 (2019): 69–76. http://dx.doi.org/10.34010/miu.v17i1.2240.

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Perkembangan Teknologi Informasi dan Komunikasi begitu pesat di zaman sekarang ini. Diikuti pula dengan perkembangan di bidang Artificial Intelligence (AI) atau Kecerdasan Buatan. Di Indonesia sendiri masih belum begitu populer dikalangan masyarakat akan tetapi perusahaan-perusahaan IT berlomba-lomba menciptakan inovasi dibidang Kecerdasan Buatan dan penerapan Kecerdasan Buatan disegala aspek kehidupan. Contoh kasus di Automated Teller Machine (ATM), seringkali terjadi kejahatan di ATM seperti pengintaian nomor pin, skimming, lebanese loop dan kejahatan lainnya. Walaupun di ATM sudah terdapat

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23

Kumar, Akshay, Pooja Joshi, Anju Bala, Pravinkumar Sudhakar Patil, Dilip Kumar Jang Bahadur Saini, and Kapil Joshi. "Smart Transaction through an ATM Machine using Face Recognition." Indian Journal of Information Sources and Services 13, no. 2 (2023): 7–13. http://dx.doi.org/10.51983/ijiss-2023.13.2.3752.

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Automated Teller Machines (ATMs) are a convenient way for people to access their cash and banking services. However, traditional ATMs are susceptible to fraud, such as card skimming and PIN theft. Face recognition technology has the potential to improve ATM security by providing a more secure and convenient way for users to authenticate themselves. This research paper proposes a system for smart transaction through ATM machines using face recognition. To proceed transactions user, need to enter their registered mobile number on which an OTP will be generated subsequently the camera mounted on

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24

Venkutuswamy, Radhika, and Baskaran Kaliyaperumal. "Improving fault identification in smart transmission line using machine learning technique." International Journal of Applied Power Engineering (IJAPE) 12, no. 4 (2023): 359. http://dx.doi.org/10.11591/ijape.v12.i4.pp359-366.

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<span lang="EN-US">In this work inevitable for power transmission boards such as Tamil Nadu Generation and Distribution Corporation Limited (TANGEDCO) to look for a low-cost communication system with low power usage and to improve supply reliability, to transmit reliable fault information back to the control centre in real time. This work aims to design an automated and effective fault identification and position system for all overhead power transmission network networks using all current fault indicator technologies, machine learning methods, and commercially tested communication techn

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25

Taco, John, Prayag Gore, Takanobu Minami, Pradeep Kundu, and Jay Lee. "Novel Methodology for Health Assessment in Printed Circuit Boards." PHM Society European Conference 7, no. 1 (2022): 566–62. http://dx.doi.org/10.36001/phme.2022.v7i1.3373.

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The demand for Printed circuit boards (PCBs) has increased due to the rapid change in technology in recent years. Consequently, PCBs health assessment and fault detection play an important role in improving productivity. This study proposed a novel method which focused on feature engineering for health assessment in PCBs. The performance of the proposed method has been validated using data obtained from PHM Europe 2022 data challenge. In this data challenge, PCBs health assessment needs to be performed with data from the Solder Paste Inspection (SPI) and the Automated Optical Inspection (AOI)

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Johntaco, Prayag Gore, Takanobu Minami, Pradeep Kundu, and Jay Lee. "A Novel Methodology for Health Assessment in Printed Circuit Boards." PHM Society European Conference 7, no. 1 (2022): 556–62. http://dx.doi.org/10.36001/phme.2022.v7i1.3308.

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The demand for Printed circuit boards (PCBs) has increased due to the rapid change in technology in recent years. Consequently, PCBs health assessment and fault detection play an important role in improving productivity. This study proposed a novel method which focused on feature engineering for health assessment in PCBs. The performance of the proposed method has been validated using data obtained from PHM Europe 2022 data challenge. In this data challenge, PCBs health assessment needs to be performed with data from the Solder Paste Inspection (SPI) and the Automated Optical Inspection (AOI)

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Nkgapele, Tumelo Presley, Chunling Tu, and Moses Olaifa. "Versatile Multimodal Biometrics to Prevent ATM Identity Frauds." International Journal of Emerging Technology and Advanced Engineering 13, no. 5 (2023): 1–7. http://dx.doi.org/10.46338/ijetae0523_01.

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—Automated Teller Machine (ATM) frauds have increased over the years resulting in the loss of customers and trust in current ATM security measures. In order to fight identity fraud and regain trust and reliability, biometric recognition technologies have become a necessity for ATMs. Using a card and pin is no longer reliable due to the rise of ATM identity fraud over the years. Studies have been carried out to solve this uprising issue, such as replacing the memorized pin with a one-time pin (OTP) and others using biometrics. There are still many gaps and challenges in the systems, with a comm

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Ji, Ling. "Equipment Modification for Friction Stir Joining Based on PLC." Applied Mechanics and Materials 596 (July 2014): 52–55. http://dx.doi.org/10.4028/www.scientific.net/amm.596.52.

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In order to achieve the common drilling and milling machine for friction stir joining (FSJ) , A model ZXTM-40 equipment is modified., it’s workstation transmission mode and axial direction press mode are mechanical transmission, through the modification, install stepper motors and drives , write program code ,PLC control the motor ,it can work to achieve Longitudinal automatic movement . the speed of workstation can input through the Interactive panel, the control system operate parameters to achieve semi-automated operation of equipment and overtravel protection.. In the vertical direction,in

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Emimal M., Jannet, Jayanthi M., and Santhi S. "A NOVEL HYBRID MODEL FOR ATM SECURITY USING FACE RECOGNITION AND OTP AUTHENTICATION." Journal of Dynamics and Control 9, no. 3 (2025): 116–23. https://doi.org/10.71058/jodac.v9i3009.

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An Automated Teller Machine (ATM) is a cash dispensing terminal that allows patrons to conduct financial operations without requiring human assistance, including flows, forfeitures, deposits to be made, and balance inquiries. The security of ATM remains a significant concern, with card skimming, phishing, and unauthorized access being prevalent threats. A wide range of technologies, such as PIN, OTP, biometric, RFID, etc., are used to secure ATM machines. This study presents a survey of various ATM security mechanisms, these technologies have several downsides. The combination of OTP and face

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Jayanthi M and Jannet Emimal M. "A Survey on ATM Security Using OTP and Voice Recognition." International Journal of Inventive Engineering and Sciences 12, no. 4 (2025): 5–7. https://doi.org/10.35940/ijies.f8190.12040425.

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An Automated Teller Machine (ATM) is a cash dispensing terminal that allows patrons to conduct financial operations without requiring human assistance, including flows, forfeitures, deposits to be made, and balance inquiries. The security of ATM remains a significant concern, with card skimming, phishing, and unauthorized access being prevalent threats [1]. A wide range of technologies, such as PIN, OTP, biometric, RFID, etc., are used to secure ATM machines. This study presents a survey of various ATM security mechanisms, these technologies have several downsides. The combination of OTP and v

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Jayanthi, M. "A Survey on ATM Security Using OTP and Voice Recognition." International Journal of Inventive Engineering and Sciences (IJIES) 12, no. 4 (2025): 5–7. https://doi.org/10.35940/ijies.F8190.12040425.

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<strong>Abstract: </strong>An Automated Teller Machine (ATM) is a cash dispensing terminal that allows patrons to conduct financial operations without requiring human assistance, including flows, forfeitures, deposits to be made, and balance inquiries. The security of ATM remains a significant concern, with card skimming, phishing, and unauthorized access being prevalent threats [1]. A wide range of technologies, such as PIN, OTP, biometric, RFID, etc., are used to secure ATM machines. This study presents a survey of various ATM security mechanisms, these technologies have several downsides. T

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Onamade, Akintoye Abraham, Bunmi Janet Bambi, and Ifeoluwa Jenyo. "Towards Developing a 4-Level Authentication Method for Securing ATM Cards." Advances in Multidisciplinary and scientific Research Journal Publication 13, no. 2 (2022): 11–14. http://dx.doi.org/10.22624/aims/cisdi/v13n2p2.

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In recent years, the rapid development of information and communication engineering has affected every aspect of human life. As a result, the manner in which banking activities are conducted has also changed. ATM cards have made banking easier worldwide; funds are easily accessed, transferred, and withdrawn without hindrances. The advancement in modern technology paved the way for the rapid increase in ATM card usage, which is directly proportional to the rate of fraud attached to it. Presently, ATM cards are seriously having security challenges, in the sense that it is only being secured by f

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R, Dayana. "Face Biometric Authentication System for ATM using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 2562–69. http://dx.doi.org/10.22214/ijraset.2022.44413.

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Abstract: Automated Teller Machines also known as ATM's are widely used nowadays by each and everyone. There is an urgent need for improving security in banking region. Due to tremendous increase in the number of criminals and their activities, the ATM has become insecure. ATM systems today use no more than an access card and PIN for identity verification. The recent progress in biometric identification techniques, including finger printing, retina scanning, and facial recognition has made a great effort to rescue the unsafe situation at the ATM. This project proposes an automatic teller machi

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Soltani, Mohammad, Stefano Nuzzo, Davide Barater, and Giovanni Franceschini. "Investigation of the Temperature Effects on Copper Losses in Hairpin Windings." Machines 10, no. 8 (2022): 715. http://dx.doi.org/10.3390/machines10080715.

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Today, an extensive electrification is occurring in all industrial sectors, with a special interest seen in the automotive and aerospace industries. The electric motor, surely, is one of the main actors in this context, and an ever-increasing effort is spent with the aim of improving its efficiency and torque density. Hairpin windings are one of the recent technologies which are implemented onto the stator of the electric motor. Compared to conventional random windings, it inherently features lower DC resistance, higher fill factor, better thermal performance, improved reliability, and an auto

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Singh, Abhilash, Kumar Gaurav, Atul Kumar Rai, and Zafar Beg. "Machine Learning to Estimate Surface Roughness from Satellite Images." Remote Sensing 13, no. 19 (2021): 3794. http://dx.doi.org/10.3390/rs13193794.

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We apply the Support Vector Regression (SVR) machine learning model to estimate surface roughness on a large alluvial fan of the Kosi River in the Himalayan Foreland from satellite images. To train the model, we used input features such as radar backscatter values in Vertical–Vertical (VV) and Vertical–Horizontal (VH) polarisation, incidence angle from Sentinel-1, Normalised Difference Vegetation Index (NDVI) from Sentinel-2, and surface elevation from Shuttle Radar Topographic Mission (SRTM). We generated additional features (VH/VV and VH–VV) through a linear data fusion of the existing featu

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Golubin, Sergey A., Alexei N. Lomanov, Vladimir S. Nikitin, and Valery M. Komarov. "Experimental Research into the Influence of Photodetector Types on Characteristics of Optical Mini-Sticks of Unified Human- Machine Interfaces." Volume 26, Number 4, 2018, no. 04-2018 (December 2018): 137–42. http://dx.doi.org/10.33383/2018-054.

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The article provides the results of the experimental research into the influence of different types of photo detectors of digital optical ministicks on their transformation function – the useful ministick signal as a function of the ministick control lever deviation value. The set problem was solved using experimental research methods. Circuits with a photo diode (PIN photodiode PD15– 21B/TR8 manufactured by Everlight company) and circuits with a phototransistor (phototransistor KP2012P3C manufactured by Kingbright company) were studied. An automated test bench was used for the research. Th

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Tudor, Cristiana, and Robert Sova. "EU Net-Zero Policy Achievement Assessment in Selected Members through Automated Forecasting Algorithms." ISPRS International Journal of Geo-Information 11, no. 4 (2022): 232. http://dx.doi.org/10.3390/ijgi11040232.

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The European Union (EU) has positioned itself as a frontrunner in the worldwide battle against climate change and has set increasingly ambitious pollution mitigation targets for its members. The burden is heavier for the more vulnerable economies in Central and Eastern Europe (CEE), who must juggle meeting strict greenhouse gas emission (GHG) reduction goals, significant fossil-fuel reliance, and pressure to respond to current pandemic concerns that require an increasing share of limited public resources, while facing severe repercussions for non-compliance. Thus, the main goals of this resear

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Chuang, Tsung Hsien, Liang-Chuan Lai, Tzu-Pin Lu, Mong-Hsun Tsai, Hsiang-Han Chen, and Eric Y. Chuang. "Abstract 878: Enhancing single-cell RNA sequencing analysis in cancer research: A machine learning framework based on LightGBM for automated cell type annotation." Cancer Research 84, no. 6_Supplement (2024): 878. http://dx.doi.org/10.1158/1538-7445.am2024-878.

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Abstract Single-cell RNA sequencing (scRNA-seq) has been widely used in cancer research to understand the complex gene expression diversity and cancer heterogeneity. However, manual annotation of cell types in the scRNA-seq pipeline is time-consuming and depends on the expertise of analyzers, which can significantly influence the results of downstream analyses. To address this problem, we proposed a novel machine learning framework utilizing the LightGBM model for automated and efficient cell-type annotation of scRNA-seq. Two independent scRNA-seq datasets of non-small cell lung cancer (NSCLC)

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Raja, G., and M. Bavithra. "ATM Shoulder-Surfing Resistant Pin Entry Using Based Pin and Base Text." International Journal of Scientific Research in Computer Science, Engineering and Information Technology, September 1, 2020, 01–05. http://dx.doi.org/10.32628/cseit2064115.

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The main aim of this system is to develop a secure ATM in future. In general, all the keypad based authentication system having several possibilities of password identification by means of shoulder movements. Shoulder-surfing is an attack on password authentication that has frequently been hard to defeat. This problem has come up with a new solution by following two types of proposal idea one is designing shuffled Automated Teller Machine keypad which displays the shuffled texts in the Display which confuses person who standing near you to guess the password. Another one is to develop the GSM

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Journal, IJSREM. "ATM BANK MANAGEMENT SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 06, no. 11 (2022). http://dx.doi.org/10.55041/ijsrem16787.

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With the help of an automated teller machine (ATM), customers can conduct banking transactions without having to speak with bank employees directly. Every account holder must have a distinctive ID card for each individual account with a distinctive pin in order to do this. Whatever the unfortunate circumstance, using this ATM service is not allowed in the absence of this card. Aim is to suggest a better feature to speed up the cash withdrawal process from ATMs. In India, there are some rural areas where people don’t know how ATM works. Also, some aged people and young boys and girls also don’t

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Dr. Reshma Banu, Jawad Haris Khan, Mohammed Adnan Khan, Syed Ansar, and Chandan B. "A Review on Enhanced Security in ATM Transaction Using Fingerprint Authentication." International Journal of Advanced Research in Science, Communication and Technology, May 27, 2024, 429–31. http://dx.doi.org/10.48175/ijarsct-18559.

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The proliferation of automated teller machine (ATM) usage in modern banking has necessitated robust security measures to safeguard transactions against various threats. Traditional methods of authentication, primarily reliant on Personal Identification Numbers (PINS) and magnetic stripe cards, are increasingly vulnerable to fraudulent activities such as card skimming and PIN theft. In response, biometrical authentication, particularly fingerprint recognition, has emerged as a promising solution to enhance ATM security. The fundamental concept revolves around the biometric phenomenon known as “

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Opul, Sorker, and Jahanara Akhtar Prof. "Enhancing the security of ATM transaction "an architecture approach"." October 18, 2022. https://doi.org/10.5281/zenodo.7221750.

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Nowadays banking service is increasing rapidly day by day. Though the bank renders us plenty of good services, there are also some problems there. Automated Teller Machine (ATM) cards are the good things of the banking system. It is an easy way to withdraw money from the ATM machine by using an ATM card. Even though there is a possibility to hack the ATM card password (PIN) and lose the ATM card. Besides, there are many frauds in our societies especially in banking sectors. The fraudsters can hack our ATM card password or PIN to withdraw money illegally. In this paper, we did full palm scannin

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Chaudhari, Dhanashri, and Brijendra Gupta. "Advanced ATM Transaction Security with OTP Verification and Face Recognition." International Journal For Multidisciplinary Research 7, no. 2 (2025). https://doi.org/10.36948/ijfmr.2025.v07i02.40720.

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At the core of the current ATM security authentication mechanism is pin-based verification. Numerous elements could impact the system, such as urgency, pin memorization, interaction speed, and uninten-tional pin sharing. Cards with magnetic chips can be easily copied. An automated machine becomes vul-nerable when its security is breached; security and vulnerability are two sides of the same coin. Automat-ed teller machine manufacturers are constantly adding and enhancing security measures to ensure that consumers may complete banking transactions without hassle or fear of funds being deducted

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Pai, Saeel, Bruno Navaresse, and Dr Justin A. Weibel. "Data generation and training of surrogate models for friction factor and Nusselt number in low Reynolds number flows through pin fin geometries." ASME Journal of Heat and Mass Transfer, October 23, 2024, 1–40. http://dx.doi.org/10.1115/1.4066970.

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Abstract The design of various biomedical, electronics cooling, and microfluidic devices relies on geometry-specific models and empirical correlations for flow and heat transfer through microscale pin fin geometries. Machine learning techniques are being used across many branches of science to develop more generalized surrogate models that can predict such transport processes. To collapse the simulation of flow and thermal properties across many different pin fin surfaces into a single predictive tool, the present study develops machine-learning-based surrogate models for the friction factor a

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Zhdanovich, Yauheniya, Jörg Ackermann, Peter J. Wild, et al. "Evaluation of automatic discrimination between benign and malignant prostate tissue in the era of high precision digital pathology." BMC Bioinformatics 24, no. 1 (2023). http://dx.doi.org/10.1186/s12859-022-05124-9.

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Abstract Background Prostate cancer is a major health concern in aging men. Paralleling an aging society, prostate cancer prevalence increases emphasizing the need for efficient diagnostic algorithms. Methods Retrospectively, 106 prostate tissue samples from 48 patients (mean age, $$66\pm 6.6$$ 66 ± 6.6 years) were included in the study. Patients suffered from prostate cancer (n = 38) or benign prostatic hyperplasia (n = 10) and were treated with radical prostatectomy or Holmium laser enucleation of the prostate, respectively. We constructed tissue microarrays (TMAs) comprising representative

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Krishna Raja, N. V. Murali, J. Satya Pavan, K. Tarun Kumar, et al. "Banking Bot for Automated Operations and Customer Support." International Journal of Innovative Science and Research Technology, April 23, 2025, 1058–66. https://doi.org/10.38124/ijisrt/25apr658.

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This project introduces an AI-powered Banking Bot that automates banking tasks and improves customer support. It uses Artificial Intelligence (AI) and Machine Learning (ML) to handle important functions like money transfers, balance inquiries, account creation, and PIN generation. By automating these processes, the system ensures faster, more accurate, and reliable banking with minimal human involvement while maintaining strong security measures for transactions. Beyond automation, the bot also acts as a virtual assistant, helping customers navigate banking services, answer questions, and reso

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"Implementation of Antitheft ATM Machine using Embedded System." International Journal of Engineering and Advanced Technology 8, no. 6S2 (2019): 715–17. http://dx.doi.org/10.35940/ijeat.f1262.0886s219.

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Within the trendy state of affairs, money transaction is as a rule achieved with the usage of ATM. A mechanized teller machine or computerized teller laptop (ATM) is an automated media transmission system that offers a cash related groundwork's clients a secured method for performing budgetary exchanges in an open space with RFID peruser and GSM . Using an ATM, customers can reach their fiscal balances with the highest aim in intellect to gain money withdrawals and check their report equalizations. The customer then proves his identity by showing RFID tag to a peruser, then a signal is sent to

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Rathee, Munish. "Automating inspection of moveable lane barrier for Auckland Harbour Bridge traffic safety." Rangahau Aranga: AUT Graduate Review 1, no. 3 (2022). http://dx.doi.org/10.24135/rangahau-aranga.v1i3.111.

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A moveable lane barrier along the Auckland Harbour Bridge (AHB) enables two-way traffic flow optimisation and control. However, the AHB barrier transfer machines are not equipped with an automated solution for screening the pins that link the barrier segments. If the connecting metal pin pops out due to external force, the disjoined concrete barrier can be hazardous to motorist safety.After being restricted due to pandemic lockdowns, I reviewed previous research in anomaly detection to overcome the challenge of a small and unbalanced dataset. A technique was needed for a robust approach to dat

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Liu, Xiang, Yongqiang Shu, Pengfei Yu, et al. "Classification of severe obstructive sleep apnea with cognitive impairment using degree centrality: A machine learning analysis." Frontiers in Neurology 13 (August 25, 2022). http://dx.doi.org/10.3389/fneur.2022.1005650.

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In this study, we aimed to use voxel-level degree centrality (DC) features in combination with machine learning methods to distinguish obstructive sleep apnea (OSA) patients with and without mild cognitive impairment (MCI). Ninety-nine OSA patients were recruited for rs-MRI scanning, including 51 MCI patients and 48 participants with no mild cognitive impairment. Based on the Automated Anatomical Labeling (AAL) brain atlas, the DC features of all participants were calculated and extracted. Ten DC features were screened out by deleting variables with high pin-correlation and minimum absolute co

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Anukul Muley, Akash Bendre, Priti Maheshwari, Shanmukh Kumbhar, and Prof. Bhagyashree Dhakulkar. "Survey On Biometric Based ATMs." International Journal of Scientific Research in Science and Technology, November 25, 2021, 292–97. http://dx.doi.org/10.32628/ijsrst218632.

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Nowadays Automated Teller Machines (ATMs) are widely used by people. People are dependent upon ATMs to conveniently meet their day-to-day needs. As it is an important factor there comes security. ATMs are electronic machines that are operated by customers to deposit or withdraw cash from banks. It is observed that the number of crimes related to ATMs is increased hence there is a need to provide better security to ATM machines. There are different technologies that are used to provide security to ATM machine which includes – RFID technology, fingerprint, face recognition, iris scan, OTP, refer

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