Relevant bibliographies by topics / Automated pin setter machine

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Automated pin setter machine'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Automated pin setter machine"

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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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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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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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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&rsquo; mobile number, facial recognition, and One Time Password (OTP)
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Dissertations / Theses on the topic "Automated pin setter machine"

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Nevoral, Tomáš. "Automatický stavěč kuželek – separace a transport kuželek." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443022.

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This thesis deals with the design of an automatic non-string pinsetter machine for nine-pin bowling. Firstly, a summary of rules and technical standards important for constructing an automatic pinsetter machine was created. The next part of the thesis contains market research and verification of patent safety. The final part of this thesis is focused on the conceptual design and construction of an automated pinsetter machine. Complete construction and technological design of the sweep wagon, horizontal and vertical elevator of skittles and their practical implementation. Design of (AC) drives
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Robota, Jakub. "Automatický stavěč kuželek – výtah a metač koule." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443023.

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The goal of this master’s thesis was to design and construct ninepin ball elevator for automated pin setter machine and ninepin ball launcher to simulate load and to verify correct function of the setter machine. Also, a ball track was designed as a means of transport for the ball from elevator to launcher. Theoretical part of thesis contains research into ninepin bowling, its rules and analysis of different applicable solutions found on the market that deal with automated pin setters and their ball elevators. Furthermore, a separate research into ball launchers was conducted. Practical part o
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Book chapters on the topic "Automated pin setter machine"

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Jungnickel, Robert, Johanna Lauwigi, Vladimir Samsonov, and Daniel Lütticke. "Human-Centric Machine Learning Approach for Injection Mold Design: Towards Automated Ejector Pin Placement." In Machine Learning, Optimization, and Data Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25891-6_3.

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"Data-driven modeling and artificial intelligence approaches for optimizing physical vapor deposition of boron nitride coatings." In Book of Abstracts - RAD 2025 Conference. RAD Centre, Niš, Serbia, 2025. https://doi.org/10.21175/rad.abstr.book.2025.2.2.

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This study introduces an innovative machine learning framework designed to enhance the physical vapor deposition (PVD) process of boron nitride (BN) coatings on D2 steel substrates via magnetron sputtering. By methodically adjusting process parameters and employing a broad range of surface characterization techniques—including pin-on-disk testing, nano-indentation, and film thickness measurements—an extensive dataset is generated that integrates both experimental and synthetic data. Advanced statistical analyses explore the relationships between deposition variables and coating performance. A
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Doultani, Mannat, Riddhi Khole, Nidhi Rohra, Muheet Rashid, and Nachiket Joag. "Encrypted Biometric Authenticated ATM System – An Overview." In New Frontiers in Communication and Intelligent Systems. Soft Computing Research Society, 2021. http://dx.doi.org/10.52458/978-81-95502-00-4-62.

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Choosing a biometric framework helps provide Identity for a person based upon various anomalous characteristics and specialties. For various purposes, we use various methods of biometric identification. Fingerprint and Iris scanning are some of the challenging and prominent methods which provide challenging patterns. Taking the challenges to security into consideration, we choose to take our system ahead with the help of Fingerprint and Iris scanning. Inexpensive and easily available apparatus provides another opportunity to test the datasets more clearly and precisely with proper scanning. Us
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Conference papers on the topic "Automated pin setter machine"

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Qureshi, Fayyaz Karim, and Abdelhady A. Hady Mohamed. "Advanced Analytics and Diagnostic Rules Automatically Notify Operators About Developing Failures in Rotating and Reciprocating Machines." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211244-ms.

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Abstract With the paradigm shift towards digitalization, Operators and service providers are inclined to use technologies that can optimize efforts from workforce by providing meaningful information rather than ‘just’ data, transition subject matter knowledge into machines rather than limiting to people, deploy machine learning techniques to improve systems and leverage this big data to serve on wide scale. Historically, condition monitoring knowledge has primarily been people-centric and Reliability personnel have to spend hours in front of screen reviewing terabytes of data. Unfortunately, m
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Journal articles
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