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Journal articles on the topic 'Machines'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Musiiko, Volodymyr, Andrii Koval, Igor Kyrychenko, and Serhii Kovalevskyi. "Influence of design parameters of the tracked propulsion system of special earthmoving ma-chines on ground pressure." Bulletin of Kharkov National Automobile and Highway University, no. 108 (May 16, 2025): 102. https://doi.org/10.30977/bul.2219-5548.2025.108.0.102.

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Abstract. Problem. The passability of continuous-operation tracked earthmoving machines on soils with low bearing capacity is determined by the maximum pressure exerted by their propulsion systems on the support surface. The pressure magnitude is influenced by the weight of the machine's base chassis and mounted equipment, the mounting equipment's attachment scheme to the base chassis, and the magnitude of external forces acting on the working equipment and the machine as a whole during soil excavation. The pressure exerted by the machine on the support surface determines the track parameters

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2

Kurniawan, Andi. "EXPERIMENTAL STUDY ON ROTOR BALANCING AND STRUCTURAL REPAIR METHOD TO OVERCOME UNBALANCE AND STRUCUTRAL LOOSENESS IN CENTER HUNG MACHINES." T R A K SI 24, no. 1 (2024): 46. https://doi.org/10.26714/traksi.24.1.2024.46-60.

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Unbalance and structural looseness are problems in industrial machines that can amplify the machine's vibration level if they occur simultaneously. Experimental study was done by comparing rotor balancing and machine’s structural repair methods in dealing with unbalance and structural looseness problems. The investigated equipment in this study consists of rotor and disk which represent center hung machines in industries such as fans, blowers, pumps and others. A comparison was made between the rotor balancing and structural repairs under the same initial problem conditions and vibration level

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3

Macura, Wiktor K. "n-Skip Turing Machines." Complex Systems 15, no. 3 (2005): 237–44. http://dx.doi.org/10.25088/complexsystems.15.3.237.

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A Turing Machine's head is limited to moving one cell in either direction on the tape for a given iteration. We investigate a form of Turing Machine where the head is allowed to move n cells in either direction. We find that such Turing Machines, named n-Skip Turing Machines, are capable of exhibiting complex behavior for simple initial conditions with two states and two colors.

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4

M. Brandao, Iago, and Cesar da Costa. "FAULT DIAGNOSIS OF ROTARY MACHINES USING MACHINE LEARNING." Eletrônica de Potência 27, no. 03 (2022): 1–8. http://dx.doi.org/10.18618/rep.2022.3.0013.

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Zhang, Yongdeng, María Lara-Tejero, Jörg Bewersdorf, and Jorge E. Galán. "Visualization and characterization of individual type III protein secretion machines in live bacteria." Proceedings of the National Academy of Sciences 114, no. 23 (2017): 6098–103. http://dx.doi.org/10.1073/pnas.1705823114.

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Type III protein secretion machines have evolved to deliver bacterially encoded effector proteins into eukaryotic cells. Although electron microscopy has provided a detailed view of these machines in isolation or fixed samples, little is known about their organization in live bacteria. Here we report the visualization and characterization of theSalmonellatype III secretion machine in live bacteria by 2D and 3D single-molecule switching superresolution microscopy. This approach provided access to transient components of this machine, which previously could not be analyzed. We determined the sub

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Ikegami, Takashi, and Takashi Hashimoto. "Active Mutation in Self-Reproducing Networks of Machines and Tapes." Artificial Life 2, no. 3 (1995): 305–18. http://dx.doi.org/10.1162/artl.1995.2.3.305.

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Self-reproduction via description is discussed in a network model of machines and description tapes. Tapes consist of bit strings, which encode the machines' function. A tape is replicated when it is read by adequate machines. Generally, a machine rewrites a tape without doing correct replication. The variation in a reproduced tape is taken as mutation. Because this mutation is caused by a machine's program, we call it active mutation. Which machine is translated from a given tape is dependent on what kind of a machine reads the tape. External noise is introduced in a machine's reading process

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7

Fischer, Peer. "A machine from machines." Nature Physics 14, no. 11 (2018): 1072–73. http://dx.doi.org/10.1038/s41567-018-0247-0.

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8

Caye, Pierre. "La machine des machines." Le Visiteur N° 27, no. 1 (2022): 19–24. http://dx.doi.org/10.3917/visit.027.0020.

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La ville est la grande affaire de notre temps. Depuis 2008, plus de la moitié de la population mondiale vit en ville. Et nous serons probablement près de 60 % en 2030. L’attraction démographique de la ville est renforcée par son dynamisme économique. Elle est devenue le lieu central de la production et de l’innovation, le cœur du système productif et de son organisation économique. La ville contemporaine apparaît d’abord comme un mégasystème technique, le système des systèmes, l’infrastructure qui rassemble à la fois les superstructures et les autres infrastructures ou, mieux encore, la machin

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9

Usubamatov, R., and R. Bhuvenesh. "Method of Assessing the Number of Technicians in Service of Manufacturing System." Journal for Manufacturing Science and Production 15, no. 3 (2015): 243–48. http://dx.doi.org/10.1515/jmsp-2015-0005.

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AbstractProductivity rate of manufacturing systems depends on technology, reliability of machinery, management, etc. The main attribute of machine’s reliability, which is availability plays important role for determination of the number of technicians that support the workability of the multi-stations the manufacturing system. The random downtimes of the productive machines have probabilistic nature. Failures of machines can coincide that lead to increasing downtimes and decreasing output of machinery. Practically, a technician conducts repairs of failures for one machine, but at the same time

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10

Awah, Chukwuemeka Chijioke, and Ogbonnaya Inya Okoro. "Torque characteristics of double-stator permanent magnet synchronous machines." Archives of Electrical Engineering 66, no. 4 (2017): 815–28. http://dx.doi.org/10.1515/aee-2017-0062.

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Abstract The torque profile of a double-stator permanent magnet (PM) synchronous machine of 90 mm stator diameter having different rotor pole numbers as well as dual excitation is investigated in this paper. The analysis includes a comparative study of the machine’s torque and power-speed curves, static torque and inductance characteristics, losses and unbalanced magnetic force. The most promising flux-weakening potential is revealed in 13- and 7-rotor pole machines. Moreover, the machines having different rotor/stator (Nr/Ns) pole combinations of the form Nr = Ns ± 1 have balanced and symmetr

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11

Ji Chan, Yum. "Improvements to Linear and Nonlinear Models of Machine Key Components." Impact 2021, no. 1 (2021): 15–17. http://dx.doi.org/10.21820/23987073.2021.1.15.

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Precision machinery has come a long way over the years. Factories that once relied on manpower now use machines, and this development has brought with it innumerable benefits including improvements to accuracy, repeatability, productivity and efficiency. Naturally, though, machines are imperfect in that precision of a batch of machines vary slightly. On top of that, machines experience wear and tear or even break-downs. These unpredictable events can be costly to manufacturers. This is why research to better understand factors that affect a machine's precision is important. This knowledge can

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12

Sabeti, Behnam, Hossein Abedi Firouzjaee, Reza Fahmi, Saeid Safavi, Wenwu Wang, and Mark D. Plumbley. "Credit Risk Rating Using State Machines and Machine Learning." International Journal of Trade, Economics and Finance 11, no. 6 (2020): 163–68. http://dx.doi.org/10.18178/ijtef.2020.11.6.683.

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Credit risk is the possibility of a loss resulting from a borrower’s failure to repay a loan or meet contractual obligations. With the growing number of customers and expansion of businesses, it’s not possible or at least feasible for banks to assess each customer individually in order to minimize this risk. Machine learning can leverage available user data to model a behavior and automatically estimate a credit score for each customer. In this research, we propose a novel approach based on state machines to model this problem into a classical supervised machine learning task. The proposed sta

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Chen, Yizhi, Guishu Zhao, Zhengliang Li, Zhe Chang, Shuye Ding, and Yuheng Zhou. "Electromagnetic Performance Analysis of Dual-Three-Phase Dual-Rotor Flux-Switching Permanent Magnet Machines." Energies 17, no. 9 (2024): 2102. http://dx.doi.org/10.3390/en17092102.

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In this paper, a novel dual-three-phase dual-rotor flux-switching permanent magnet (PM) (DRFSPM) machine, building upon conventional FSPM machines, is proposed, where the stator is equipped with dual PMs and dual armature windings, enabling it to operate in various working modes and provide fault tolerance in the event of PM or armature winding faults. Depending on the magnetization directions of the PMs, the proposed DRFSPM machine’s structure can be categorized as 6N-DRFSPM or NS-DRFSPM. In order to assess the electromagnetic performance of the proposed DRFSPM machines with two different mag

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14

Duffy, Brian R. "Fundamental Issues in Social Robotics." International Review of Information Ethics 6 (December 1, 2006): 31–36. http://dx.doi.org/10.29173/irie137.

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Man and machine are rife with fundamental differences. Formal research in artificial intelligence and robotics has for half a century aimed to cross this divide, whether from the perspective of understanding man by building models, or building machines which could be as intelligent and versatile as humans. Inevitably, our sources of inspiration come from what exists around us, but to what extent should a machine’s conception be sourced from such biological references as ourselves? Machines designed to be capable of explicit social interaction with people necessitates employing the human frame

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Cem Say, A. C., and M. Utkan Gezer. "Unconditional Proofs of Quantumness Between Small-Space Machines." Quantum Information & Computation 25, no. 1 (2025): 36–56. https://doi.org/10.2478/qic-2025-0002.

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Abstract A proof of quantumness is a protocol through which a classical machine can test whether a purportedly quantum device, with comparable time and memory resources, is performing a computation that is impossible for classical computers. Existing approaches to provide proofs of quantumness depend on unproven assumptions about some task being impossible for machines of a particular model under certain resource restrictions. We study a setup where both devices have space bounds o(log log n). Under such memory budgets, it has been unconditionally proven that probabilistic Turing machines are

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16

Azwir, Hery Hamdi, and Thomas Christian. "Optimizing Rapid Granulator Machines Utilization Using Overall Equipment Effectiveness and Capacity Measurement in Injection Molding." Performa: Media Ilmiah Teknik Industri 20, no. 2 (2021): 177. http://dx.doi.org/10.20961/performa.20.2.53439.

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Low productivity can be affected by several conditions like machine downtime, operator performance, inefficient capacity planning, etc. The most effective way to find out the solution to this problem is to calculate machine utilization. The purpose of this research is to optimize Rapid Granulator machines in the injection molding area by using Day in the Life Of (DILO) observation, Overall Equipment Effectiveness (OEE), and capacity measurement. The research will analyze the suitable calculation metric to measure Rapid Granulator machines utilization by comparing machine capacity, planned run

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17

Fan, Yi-Chih, and Jen-Yuan (James) Chang. "Embedded smart box for legacy machines to approach to I 4.0 in smart manufacturing." MATEC Web of Conferences 185 (2018): 00027. http://dx.doi.org/10.1051/matecconf/201818500027.

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This paper introduces the design of a Linux-based embedded controller which includes machine state detection application for legacy machines and manufacturing line. For Industrie 4.0 (I4.0), it is important to acquire, manipulate, and transmit machine operating states or physical data to form useful information. However, many existing legacy machines lack of controller or sensor(s) to response to their operating status. Some machine controllers cannot be connected to provide internal parameter(s) by means of communication. Gathering machine operating state should be the first priority to appro

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18

Hendrickx, Kilian, Wannes Meert, Bram Cornelis, Konstantinos Gryllias, and Jesse Davis. "Similarity-based anomaly score for fleet-based condition monitoring." Annual Conference of the PHM Society 12, no. 1 (2020): 9. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1178.

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An increased number of industrial assets are monitored during their daily use, producing large amounts of data. This data allows us to better monitor the health status of these asset, enabling predictive maintenance to reduce risks and costs caused by unexpected machine failure. Many condition monitoring approaches focus on assessing a machine's health status individually. Often, these approaches require historical data sets or handcrafted fault indicators. However, multiple industrial applications involve monitoring multiple similar operating machines, a fleet. By assuming the healthy behavio

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19

Levi, Federico. "A machine to help machines." Nature Physics 15, no. 12 (2019): 1210. http://dx.doi.org/10.1038/s41567-019-0753-8.

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20

Trott, David. "Deceiving Machines: Sabotaging Machine Learning." CHANCE 33, no. 2 (2020): 20–24. http://dx.doi.org/10.1080/09332480.2020.1754067.

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21

STOKES, SUSAN C. "Perverse Accountability: A Formal Model of Machine Politics with Evidence from Argentina." American Political Science Review 99, no. 3 (2005): 315–25. http://dx.doi.org/10.1017/s0003055405051683.

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Political machines (or clientelist parties) mobilize electoral support by trading particularistic benefits to voters in exchange for their votes. But if the secret ballot hides voters' actions from the machine, voters are able to renege, accepting benefits and then voting as they choose. To explain how machine politics works, I observe that machines use their deep insertion into voters' social networks to try to circumvent the secret ballot and infer individuals' votes. When parties influence how people vote by threatening to punish them for voting for another party, I call thisaccountability.

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22

Zhong, Wenbin, Wenhan Zeng, Guoyu Yu, and Xiangqian Jiang. "Development of an on-machine surface measurement system for an ultra-precision five-axis machine." MATEC Web of Conferences 401 (2024): 13007. http://dx.doi.org/10.1051/matecconf/202440113007.

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Ever-increasing demand for complex freeform surfaces machined by ultra-precision five-axis machines necessitates efficient on-machine surface measurement (OMSM) systems. While OMSM offers significant advantages in metrology efficiency and machining accuracy, integrating it with these machines presents a challenge due to complex data synchronization and processing. This paper addresses this challenge by proposing a dedicated controller for synchronized acquisition of sensor measurement data and machine coordinate data. Additionally, a straightforward sensor alignment method is presented. The ef

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23

Shan, Gen Li, Wen Xue Liu, and Hong Bo Chen. "The Optimization Design of New Type F-Nail Nailing Machine." Advanced Materials Research 311-313 (August 2011): 1564–68. http://dx.doi.org/10.4028/www.scientific.net/amr.311-313.1564.

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Welded structure is usually used in current nailing machines. When a nailing machine was used for a period of time, the base of the machine was deformed, so products produced with the machines become waste. The reason for these problems is that the design of window shape around the body column plate is unreasonable, so the plate often cracks. In addition, the hydraulic system in current nailing machines is unreasonable too, which makes production less efficient. Aiming the current problems of the nailing machine, finite element analysis software ANSYS is used to analysis and find the machine’s

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Coulardeau, Jacques. "Psycholinguistics of AI, Psycholinguistics versus Machine code." Signo 47, no. 88 (2022): 27–43. http://dx.doi.org/10.17058/signo.v47i88.16945.

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Abstract: I will examine the background of the language phylogeny in emerging Homo Sapiens as a fast, bipedal, long-distance runner in Black Africa;, followed by language psychogenesis in children from their gestation twenty-fourth week onward. I will concentrate on the audio-visual machiness impact, Lacan’s mirror stage, AV machines, the discontinuity between real and virtual realities, the remote control and AI machines as smart speakers and smart homes. In addition, I will discuss the following questions: Is the Machine beyond human intelligence? Is the human individual beyond Homo Sapiens?

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Tehel, Robert, Thomas Päßler, and Markus Bergmann. "Effective FE models for simulating the elasto-mechanical characteristics of forming machines." International Journal of Advanced Manufacturing Technology 106, no. 7-8 (2020): 3505–14. http://dx.doi.org/10.1007/s00170-019-04832-6.

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AbstractThe elasto-mechanical characteristic of forming machines is crucial for a variety of forming processes. Numerical simulations are to be performed to understand the complex interaction between process, forming tool, and machine. The machine’s elastic fingerprint depends on its design, accuracy of the components, and mounting conditions. Models only based on data of the machine design are limited. Therefore, effective FE models are to be developed to transfer the physical structure into a digital representation. The paper presents different methods of creating effective models for the ch

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Álvarez, Álvaro, Amaia Calleja, Mikel Arizmendi, Haizea González, and Luis Lopez de Lacalle. "Spiral Bevel Gears Face Roughness Prediction Produced by CNC End Milling Centers." Materials 11, no. 8 (2018): 1301. http://dx.doi.org/10.3390/ma11081301.

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The emergence of multitasking machines in the machine tool sector presents new opportunities for the machining of large size gears and short production series in these machines. However, the possibility of using standard tools in conventional machines for gears machining represents a technological challenge from the point of view of workpiece quality. Machining conditions in order to achieve both dimensional and surface quality requirements need to be determined. With these considerations in mind, computer numerical control (CNC) methods to provide useful tools for gear processing are studied.

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Setiadi, Rizki, Wirawan Sumbodo, Wahyu Caesarendra, Deni Fajar Fitriyana, Kriswanto Kriswanto, and Aldias Bahatmaka. "Efficiency and Precision in Printing: Study of the Control System of a Rotogravure Machine." Journal of Advanced Research in Applied Mechanics 128, no. 1 (2024): 11–23. https://doi.org/10.37934/aram.128.1.1123.

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Rotogravure printing is a well-liked and effective printing technique in the packaging sector of a printing cylinder. In making an automatic rotogravure machine, it is necessary to design an appropriate control system. In Indonesia, semi-automatic technology is still used to make rotogravure machines, and printing speeds are often slow. For automation machines, they are still imported. Apart from that, the machine's ability to adjust its precision is also limited. The purpose of this article is to examine the control system for a 6-cylinder automatic rotogravure machine, and discuss the rotogr

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28

Phimpisan, Phaireepinas, and Chatchapol Chungchoo. "A Best Practice Guideline for Inspecting Precision Machined Parts by Using Several Coordinate Measuring Machines (CMMs)." Applied Mechanics and Materials 894 (September 2019): 90–95. http://dx.doi.org/10.4028/www.scientific.net/amm.894.90.

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Currently in Thailand, original equipment manufacturers (OEM) who produce precision-machined parts face a serious problem about product rejection from customers. This is because measuring results from the OEM supplier differ from the measuring results from the OEM buyer. Normally, for precision-machined parts, OEM suppliers and OEM buyers use CMM machines as an inspection tool. One major cause of the difference in measurements is that suppliers and buyers use different CMM machine, operators and measuring methods. In order to mitigate the difference in measurements, the standard guideline for

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Kalt, Svenja, Jonathan Erhard, and Markus Lienkamp. "Electric Machine Design Tool for Permanent Magnet Synchronous Machines and Induction Machines." Machines 8, no. 1 (2020): 15. http://dx.doi.org/10.3390/machines8010015.

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The rising mobility demand of today’s society leads to an increasing strain of noise and pollutant emissions on people and the environment. An increasing environmental awareness and the scarcity of fossil fuels are increasingly placing alternative-powered vehicles in the focus of politics, research and development. Electric vehicles represent a promising solution to this problem. The electric machine represents a design control lever for the optimization of the electric powertrain with regard to efficiency, power, weight and size. Therefore, accurate and realistic machine design tools for the

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Lemmink, Jacques. "‘Op proef doeltreffend gebleken, kunnen we spreken van een bereikt ideaal’." De Moderne Tijd 5, no. 1 (2021): 35–59. http://dx.doi.org/10.5117/dmt2021.1.002.lemm.

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Abstract ‘Proved effective on trial, we can speak of an achieved ideal’ Abraham Kuyper and the mechanical voting machine, c. 1895-1905 During the latest presidential elections in the United States, unfounded conspiracy theories sprung up concerning alleged ballot box fraud by compromised voting machines. Although different voting machines had been used in the Netherlands since 1966, concerns over their reliability ended this in 2007. This article investigates the forgotten but ultimately failed attempt to introduce mechanical voting machines a century earlier. It focuses on the role played by

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31

Chiara, Maria Luisa Dalla, Roberto Giuntini, Giuseppe Sergioli, and Roberto Leporini. "Abstract quantum computing machines and quantum computational logics." International Journal of Quantum Information 14, no. 04 (2016): 1640019. http://dx.doi.org/10.1142/s0219749916400190.

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Classical and quantum parallelism are deeply different, although it is sometimes claimed that quantum Turing machines are nothing but special examples of classical probabilistic machines. We introduce the concepts of deterministic state machine, classical probabilistic state machine and quantum state machine. On this basis, we discuss the question: To what extent can quantum state machines be simulated by classical probabilistic state machines? Each state machine is devoted to a single task determined by its program. Real computers, however, behave differently, being able to solve different ki

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Podgornovs, Andrejs, and Anton Sipovics. "Electromechanical Battery, Electrical Machines Mass Functions Analysis." Scientific Journal of Riga Technical University. Power and Electrical Engineering 28, no. 1 (2011): 53–57. http://dx.doi.org/10.2478/v10144-011-0009-7.

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Electromechanical Battery, Electrical Machines Mass Functions AnalysisIn this paper different types of electrical machines in electromechanical battery, were described. The most known manufactured battery data is composed. Three types of machines: synchronous machine with salient poles and electromagnetic excitation, with permanent magnets on rotor and reluctance synchronous machine were analyzed. For all types of machines, mass is function of general geometrical size of magnetic system and machines electrical power.

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Metri, Prabhakar. "Fault Diagnosis of Rotary Machine Using FFT (Fast Fourier Transformation) and Orbital Analyzer." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 2673–81. http://dx.doi.org/10.22214/ijraset.2021.36933.

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In different industries we use different machines and most of the machines are rotary machines. The small fault in machine cause vibrations in machines. These vibrations may cause effect on machine or product produced by machine. So, it is important to study these faults present in the machines. In this paper we are going to discuss fault detection techniques. We are discussing two technique FFT (Fast Fourier Transformation) and Orbital Analysis. In FFT we are getting graphs with respect to frequencies and according to peak frequencies we predict fault while in Orbital Analysis we are getting

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Darma, Darma, Reniana Reniana, and Arbianto Arif Moh. "UJI LAPANG MESIN PENGOLAHAN SAGU PRODUKSI BENGKEL PERMESINAN AGROINDUSTRI UNIVERSITAS PAPUA." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 9, no. 3 (2020): 191. http://dx.doi.org/10.23960/jtep-l.v9i3.191-200.

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Papua and West Papua Province have the large potential of sago palm (Metroxylon sagu), however, until now the production and utilization is very low compared with its potential. This is because of most farmers in this area still use traditional method in processing sago. The traditional method is labour intensive and time consuming process. Sago farmers in this area still apply traditional ways to process sago starch due to the lack of processing machines. The objective of this research was to conduct field testing of sago processing machine produced by Agroindustry Machinery Workshop of Papua

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Fuadiya, Sinta Luluk, and Endang Pudji Widjajati. "Analysis of sag mill machine performance using overall equipment effectiveness and failure model and effects analysis method." International Journal of Industrial Optimization 3, no. 2 (2022): 141–53. http://dx.doi.org/10.12928/ijio.v3i2.6701.

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The mining company uses a variety of grinding machines to process minerals, whereas the most common type of machine is the Semi-Autogenous Grinding SAG Mill machine. This machine is employed for the mining process of hard rock as raw material into gold, copper, and silver. However, the SAG Mill machines are often broken, even suddenly not working, with an average loss time of 97.30 hours which impacts a decrease in efficiency and production quality of up to 40%. It can cause losses that do not reach the production target. This research aims to measure the effectiveness of the SAG Mill machine

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Saba Mohammed Iqbal Gour. "Understanding machine learning and its applications." World Journal of Advanced Engineering Technology and Sciences 14, no. 3 (2025): 254–58. https://doi.org/10.30574/wjaets.2025.14.3.0122.

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Machine learning (ML) can be described as a machine’s ability to learn. Let us take an example of the assembly line in a car manufacturing plant. We utilize robotics and very specific instructions are given to the robots to carry out mechanical functions. The robots are machines on an assembly line and instructions are given through embedded programming. This is a kind of artificial intelligence but with very strict use cases. If machines on an assembly line where following an algorithm that gave them the freedom to change or improve their operations by themselves, then that would become an ex

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Balanescu, Tudor, Anthony Cowling, Horia Georgescu, Marian Gheorghe, Mike Holcombe, and Cristina Vertan. "Communicating Stream X-Machines Systems are no more than X-Machines." JUCS - Journal of Universal Computer Science 5, no. (9) (1999): 494–507. https://doi.org/10.3217/jucs-005-09-0494.

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A version of the communicating stream X-machine model is proposed, which gives a precise representation of the operation of transferring data from one X-machine to another. For this model it is shown that systems of communicating X-machines have the same computational power as single stream X-machines. This enable existing methods for deriving test strategies for stream X-machines to be extended to communicating stream X-machines.

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Athar, Ali, Md Ariful Islam Mozumder, Abdullah, Sikandar Ali, and Hee-Cheol Kim. "Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines." PeerJ Computer Science 10 (October 17, 2024): e2389. http://dx.doi.org/10.7717/peerj-cs.2389.

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Computer numerical control (CNC) and machine center (MCT) machines are mechanical devices that manipulate different tools using computer programming as inputs. Predicting failures in CNC and MCT machines before their actual failure time is crucial to reduce maintenance costs and increase productivity. This study is centered around a novel deep learning-based model using a 1D convolutional neural network (CNN) for early fault detection in MCT machines. We collected sensor-based data from CNC/MCT machines and applied various preprocessing techniques to prepare the dataset. Our experimental resul

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Ryzhko, Nikolay, Sergey Ryzhko, and Sergey Khorin. "ENERGY SAVING WITH MULTI-SUPPORT IRRIGATION SPRINKLING MACHINES." Melioration and Water Management 2021, no. 6 (2022): 25–30. http://dx.doi.org/10.32962/0235-2524-2021-6-25-30.

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The relevance of the research is caused by the need to reduce energy losses during irrigation and improve the quality of irrigation of the «Fregat» sprinkling machines. The article describes a low-pressure sprinkling machine «Fregat» with an additional polyethylene pipeline and a filter that provides fine cleaning of water from debris and feed to the hydraulic drives of the sprinkling machine’s carts. The formulas are given and the sequence for calculating the di-ameter of the additional polyethylene pipeline and the pressure at the inlet to the machine, de-pending on its modification, is show

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Walker, Yolanda. "Machine Functionalism: Brains as Computing Machines." International Journal of Undergraduate Research and Creative Activities 4, no. 1 (2013): 5. http://dx.doi.org/10.7710/2155-4838.1073.

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Magné, Bernard. "Machines à écrire, machine à lire." Études françaises 36, no. 2 (2008): 119–28. http://dx.doi.org/10.7202/005258ar.

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Résumé Cet article décrit la structure et le fonctionnement du CD-ROM Machines à écrire, réalisé par Antoine Denize et Bernard Magné. Mettant en scène (en écran) deux textes combinatoires de Raymond Queneau (« Un conte à votre façon », « Cent mille milliards de poèmes ») et un de Georges Perec (« Deux cent quarante-trois cartes postales ») et permettant l'exploration de la littérature combinatoire des grands rhétoriqueurs à nos jours, Machines à écrire offre à la fois un nouveau mode d'approche des textes et l'occasion de réhabiliter une littérature trop souvent ignorée ou méprisée.

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Naeini, Ehsan Zabihi, and Kenton Prindle. "Machine learning and learning from machines." Leading Edge 37, no. 12 (2018): 886–93. http://dx.doi.org/10.1190/tle37120886.1.

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Hwang, H. C., and S. Y. Chang. "Parallel machines scheduling with machine shutdowns." Computers & Mathematics with Applications 36, no. 3 (1998): 21–31. http://dx.doi.org/10.1016/s0898-1221(98)00126-6.

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Jiang, Yiwei, Zhiyi Tan, and Yong He. "Preemptive Machine Covering on Parallel Machines." Journal of Combinatorial Optimization 10, no. 4 (2005): 345–63. http://dx.doi.org/10.1007/s10878-005-4923-5.

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S, Usanto. "Design of Error Code Guide System on Wincor Nixdorf ATM Machine for CMD Controller Part Based on Mobile Application." Journal of Computer Science and Technology Studies 5, no. 3 (2023): 45–54. http://dx.doi.org/10.32996/jcsts.2023.5.3.5.

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The machines must have an identity to categorize these machines that are starting to circulate in the Indonesian market. The identity of these machines is determined by the Serial Number (SN) on the machine. For machines manufactured in 2015, the machine has the identity of "Mesin dengan SN 56DW5." Moving on to 2016, the machine's identity changed to "SN 56HG6," while the machine type remained the same, which is Procash 280. Given the various types of Procash 280 machines, engineers sometimes struggle to decipher the codes on Wincor Nixdorf ATM machines. The method employed by the author in an

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Lyeo, Min-Gu, Kyu-Yun Hwang, and Sung-Hyun Lee. "Design of Dual Winding Flux Modulation Machine for Performance Improvement in Variable Speed Application." Machines 12, no. 8 (2024): 535. http://dx.doi.org/10.3390/machines12080535.

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In this paper, a Dual Winding Flux Modulation Machine (DWFMM) is proposed for variable speed application. The DWFMM is configured by adding windings to the Single Winding Flux Modulation Machine (SWFMM), consisting of a master winding that drives the motor and a slave winding that enables pole changing and performance enhancement. Through pole changing, the DWFMM can operate as two different machines: a Vernier Machine (VM) for varying speeds and torque operations and a Permanent Magnet Synchronous Machine (PMSM). In the VM mode, flux enhancement is applied to improve torque, and in the PMSM m

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Oleksiak, Beata, Barbara Ciecińska, Piotr Ołów, and Małgorzata Hordyńska. "Analysis of the Possibility of Introducing the Reduction of Changeover Time of Selected CNC Machines Using the SMED Method." Production Engineering Archives 29, no. 1 (2023): 83–93. http://dx.doi.org/10.30657/pea.2023.29.10.

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Abstract The paper presents the results of improving the production process using the SMED method. The process improvement was carried out in a company in the construction industry, using a machine park consisting of CNC machines. The study evaluated the current state of changeover times for selected CNC machines and proposed a reduction in changeover times for the machine park analysed. By introducing changes to the changeover process on selected CNC machines, it was possible to minimise the changeover time by more than 20% on all the machines analysed. The proposed reorganisation of the CNC

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Lantara, Dirgahayu. "ANALISIS EFEKTIVITAS MESIN DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS DI PT. SINAR GOWA INDUSTRI." Journal of Industrial Engineering Management 4, no. 2 (2019): 63–66. http://dx.doi.org/10.33536/jiem.v4i2.456.

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PT Sinar Gowa Industri is a company established in 2005, engaged in the food industry (noodles). The cessation of a production process is often caused by a problem in the production machine, for example, the engine stops suddenly, decreases the speed of production, the length of time setup and adjustments, the machine produces a defective product. TPM develops from a traditional maintenance system that involves all departments and all people to participate in and develop responsibilities in the maintenance of machinery / equipment. Steps to prevent or overcome the problem in business. Increasi

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Anggraini, Meilani, Ahmad Sidiq, and Intan Hartiwi. "Analisis Perhitungan Efektivitas Mesin Mobile Crusher Menggunakan Metode Overall Equipment Effectiveness (OEE) Di PT. X." Industrika : Jurnal Ilmiah Teknik Industri 9, no. 1 (2025): 254–62. https://doi.org/10.37090/indstrk.v9i1.1611.

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PT. X is a manufacturing company that produces cram rubber. One of the production processes that need attention is the milling process on mobile crusher machines. Machine is the highest support in the activities of a company, if the machine used in the production process is damaged it will cause a cessation of the production process. To maintain the condition of the machine, a good and appropriate care and maintenance system is needed so as to increase the effectiveness of the machine/equipment. The aim of this study is to analyze OEE calculations and identify factors that occur in mobile crus

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Giustolisi, Orazio. "Using a multi-objective genetic algorithm for SVM construction." Journal of Hydroinformatics 8, no. 2 (2006): 125–39. http://dx.doi.org/10.2166/hydro.2006.016b.

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Support Vector Machines are kernel machines useful for classification and regression problems. In this paper, they are used for non-linear regression of environmental data. From a structural point of view, Support Vector Machines are particular Artificial Neural Networks and their training paradigm has some positive implications. In fact, the original training approach is useful to overcome the curse of dimensionality and too strict assumptions on statistics of the errors in data. Support Vector Machines and Radial Basis Function Regularised Networks are presented within a common structural fr

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