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Journal articles on the topic 'Machine to Machine'

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1

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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2

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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3

Nekhaev, Andrey. "Machine Wars: Machina Humeana." Sotsiologicheskoe Obozrenie / Russian Sociological Review 14, no. 3 (2015): 9–47. http://dx.doi.org/10.17323/1728-192x-2015-3-9-47.

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4

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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5

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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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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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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8

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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9

Raval, Shreeom, Harshil Raval, Darshit Seta, and Rathour Anilkumar. "DESIGN AND DEVELOPMENT OF MULTI SPINDLE DRILLING MACHINE." International Journal of Innovative Research in Advanced Engineering VII, no. VI (2020): 299–304. https://doi.org/10.26562/ijirae.2020.v0706.003.

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This paper discusses the case study and comparison with productivity of component using traditional drilling machine to Multi spindle drilling machine. The growth of Indian manufacturing sector depends upon many factors, one of the major factors being manufacturing efficiency with which the operation /activities are carried out in the organization. Productivity can be improved by reducing the total machining time, combining the operations, etc. There are frequent needs of tightening and loosening screws, drilling, tapping, boring and grinding operational machines. Huge and complicated designed
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10

Sayapin, S. N., O. O. Bryyndina, and P. G. Vanina. "New Approach to Three-Coordinate Milling of Large-Sized Surfaces of Second Order." Proceedings of Higher Educational Institutions. Маchine Building, no. 12 (741) (December 2021): 19–28. http://dx.doi.org/10.18698/0536-1044-2021-12-19-28.

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The study introduces a new approach to precision machining of large-sized surfaces of second order on a three-coordinate horizontal milling machine. The new technology does not require the use of unique large-size boring lathes or five-axis milling machines. Three-axis horizontal milling machines do not need to be equipped with additional equipment that provides the workpiece with the missing rotational and translational movements relative to the machine table. The proposed technology is based on the use of a new approach that combines the geometric parameters of the second-order machined surf
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11

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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12

Engster, Frank. "Measure, machine, money." Capital & Class 44, no. 2 (2020): 261–72. http://dx.doi.org/10.1177/0309816820904030.

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The aim of the text is to clarify why machines are economically productive only in capitalism and therefore in our society are capitalistic machines. They are capitalist not only because they increase the productive power of the capitalist valorisation, but this valorisation first of all is producing these machines, or at least it produces their productivity and hence ‘the machinic’ of machines. To understand this production of the machinic, we must understand them, as, for example, Heidegger, Simondon or Deleuze and Guattari have shown, from their context: from their non-technical essence, fr
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Kristinawati, Eti. "PERANCANGAN TATA LETAK MESIN DENGAN MENGGUNAKAN KONSEP GROUP TECHNOLOGY SEBAGAI UPAYA MINIMASI JARAK DAN BIAYA MATERIAL HANDLING." Jurnal Teknik Industri 1, no. 1 (2010): 71. http://dx.doi.org/10.22219/jtiumm.vol1.no1.71-79.

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PT. BerlinaT bk Pandaanis a companyth at producea lreadyu sep lasticp roductp ackage.Some of its product are Nivea bottle, Lux shower bottle, packaging of sheats and the other formvariation.T he processintgo makei t, needa t leastt wice a processo f machineA. 11t hosep roductthroughs omeo perationw hich happeneda long way materialh andlingf rom one machinet oanother.A s main productf acility is throught he the machinel ayout can be seent hat machineplacement still arbitrarily, and it will cause product current longer so that cost and distance formateriahi andlinga lsob igger.To solvet his prob
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14

Soylu, Ufuk, and Michael L. Oelze. "Machine-to-machine transfer function: Transferring deep learning models between ultrasound machines." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A350. http://dx.doi.org/10.1121/10.0019120.

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In our previous work, we proposed a calibration method for deep learning (DL) to mitigate the effects of acquisition-related data mismatches in the context of tissue characterization. We showed that the “setting” transfer function can transfer deep learning models between imaging settings. We now extend the calibration method to transfer deep learning models between ultrasound machines. This can lead to reduced cost of model development and also improved understanding of the issues related to the security of deep learning based algorithms in biomedical ultrasound imaging. We gathered four data
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15

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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16

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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17

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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18

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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19

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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20

Van Thuy, Tran, and Huu Loc Nguyen. "Investigation on influence of cutting parameters on spindle vibration of CNC wood milling machine." MATEC Web of Conferences 213 (2018): 01007. http://dx.doi.org/10.1051/matecconf/201821301007.

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In machining operation, the cutting parameters greatly influences on the spindle vibration of a CNC wood milling machine. The paper presents the effect of the cutting parameters such as feed rate, cutting speed, and cutting depth on the vibration amplitude of the spindle when machined on CNC milling machine using Box-Hunter method of experimentation. The lowest natural frequency of this machine is 250 Hz. Experimental results have established a second-order regression equation that demonstrates the effect of three parameters such as feed rate, cutting speed, and cutting depth on the vibration
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21

Dziuba, Lidiia, Mariia Pylypchuk, Oksana Chmyr, and Roman Pavliuk. "Model of Parametric Reliability of Woodworking Machine Tools." Journal of Engineering Sciences 12, no. 1 (2025): A12—A19. https://doi.org/10.21272/jes.2025.12(1).a2.

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The article aims to develop a model of the parametric reliability of woodworking machine tools based on the criterion of technological accuracy. For this purpose, a mathematical model of the operating time of a woodworking machine to parametric failure was created using a scheme for changing the size of the workpiece. A linear differential equation characterizing the change in the dimensions for the machined workpiece was obtained based on the assumption of a linear relationship between the wear rate of the machine tool components and its technological accuracy. The differential equation was s
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22

Reddy, G. Mahendra. "OPC UA DRIVEN AUTONOMOU DECISION MAKING IN INDUSTRIAL IOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29287.

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The creation of autonomous and intelligent devices for manufacturing firms has been made possible by the Industrial Internet of Things and the progress made in machine-to-machine communication. These autonomous machines are able to collect data from various sensing devices and other related machine systems by using communication protocols such as OPC UA. Here we perform machine to machine communication through an Arduino microcontroller. Any board or computer with a full-size USB A host connector can be connected to the Arduino with the help of a USB-A to USB-B cable. The communication takes p
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23

Tsuji, Hidekazu, Jun Sawamoto, Katsuhiko Seo, and Shinji Kitagami. "M2M (Machine-to-Machine) Technology Trend." IEEJ Transactions on Electronics, Information and Systems 133, no. 3 (2013): 520–31. http://dx.doi.org/10.1541/ieejeiss.133.520.

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24

Prepin, Ken, and Arnaud Revel. "Human–machine interaction as a model of machine–machine interaction: how to make machines interact as humans do." Advanced Robotics 21, no. 15 (2007): 1709–23. http://dx.doi.org/10.1163/156855307782506192.

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25

Morimoto, Yoshitaka, Keisuke Nakato, and Motoshi Gontani. "Accuracy Evaluation of 5-Axis Machining Center Based on Measurements of Machined Workpiece – Evaluation of Accuracy of 5-Axis Controlled Machining Center –." International Journal of Automation Technology 6, no. 5 (2012): 675–81. http://dx.doi.org/10.20965/ijat.2012.p0675.

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A new method for evaluating the geometrical accuracy of a 5-axis Machining Center (MC) based on the measurement results of the machined workpiece has been developed. The strategy behind our method is to utilize, because of its accuracy, a Coordinates Measuring Machine (CMM) as a master gauge. Thus, the machine operator machines the workpiece and a technologist of precise measurement takes the measurements. In our study, non-rotational machining is utilized to copy and trace the machine trajectory on the workpiece, minimizing the machining error. The profiles of the machined workpiece are measu
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26

Mahendra, Surya, and Akhmad Ahfas. "Polar Machine Maintenance." Procedia of Engineering and Life Science 7 (March 14, 2024): 432–37. http://dx.doi.org/10.21070/pels.v7i0.1498.

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Polar Mohr machines are a well-known brand in the printing industry known for its quality paper cutting machines and printing materials. The method used is descriptive research method focused on the problem. The discussion of the polar mohr machine is starting from the position button, length button, reverse button, forward button, reset button and start button. The results of the mohr polar machine are from the polar machine planning to PLC assembly and installation. The conclusion of the polar machine is very helpful for smooth running in the industrial world because it simplifies the proces
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27

Elvira, Carlos, Mario Terol-Sanchis, María José Gomis-Gomis, and Concepción Suárez-Llorca. "New Deconstruct Elliptical sports machine and Elliptical machine." Scientific Journal of Sport and Performance 2, no. 2 (2023): 186–97. http://dx.doi.org/10.55860/zwdl2353.

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The objective of this article was to compare different cardiovascular training machines and their effects on the body, as well as to determine their suitability for people with low intensity or high intensity training needs. A total of 8 physically active and healthy male subjects (mean ± standard deviation; age: 28.45 ± 1.75 years; height: 1.84 ± 0.07 m; body weight 76.42 ± 8.62 kg; body mass index: 25.5 ± 2.6) were evaluated through of an incremental exercise test at different intensities on two different machines: Elliptical Domyos 680 (BED) and Deconstruct Elliptical 331-EF (DEC). To compa
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Martin, Karen J. "Machine Safety." AAOHN Journal 40, no. 6 (1992): 279–83. http://dx.doi.org/10.1177/216507999204000603.

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Machine operators are at increased risk for certain machine injuries, including amputation. OSHA provides standards of safety for machine guarding during operation and machine lockout during maintenance. The role of the occupational health nurse in machine safety is to conduct worksite analyses to identify proper safeguarding and to communicate deficiencies to appropriate personnel; to train workers in safe work practices and observe compliance in the use of machine guards; to provide care for workers injured by machines, especially in managing amputations; and to reinforce safe work practices
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Marzooqa, Ammara Desma, Farhatush Shalihah Yumna, Finna Luthfiah Hafizh, and Tedy Setiadi. "Implementasi Vending Machine Ramen dengan Menggunakan Mealy Machine." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 9, no. 3 (2025): 896–905. https://doi.org/10.35870/jtik.v9i3.3597.

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Ramen is a Japanese specialty that is widely favored by Indonesians. One implementation of innovation to significantly increase ramen sales is with vending machines. In Indonesia, vending machines are not yet widely known, especially in the food category. To take advantage of this business opportunity, vending machines are one of the solutions. Vending machine is a strand of technology whose concept is to make manual activities automatic with the aim of running production and making the output more quality. With this, the purpose of this research is to implement the concept of automata languag
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30

Woody, Bethany A., K. Scott Smith, Robert J. Hocken, and Jimmie A. Miller. "A Technique for Enhancing Machine Tool Accuracy by Transferring the Metrology Reference From the Machine Tool to the Workpiece." Journal of Manufacturing Science and Engineering 129, no. 3 (2006): 636–43. http://dx.doi.org/10.1115/1.2716718.

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High-speed machining (HSM) has had a large impact on the design and fabrication of aerospace parts and HSM techniques have been used to improve the quality of conventionally machined parts as well. Initially, the trend toward HSM of monolithic parts was focused on small parts, where existing machine tools have sufficient precision to machine the required features. But, as the technology continues to progress, the scale of monolithic parts has continued to grow. However, the growth of such parts has become limited by the inability of existing machines to achieve the tolerances required for asse
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31

Koppula, Manasa. "PREDICTIVE MAINTENANCE TO REDUCE MACHINE DOWNTIME IN FACTORIES USING MACHINE LEARNING ALGORITHMS." international journal of advanced research in computer science 16, no. 2 (2025): 71–77. https://doi.org/10.26483/ijarcs.v16i2.7224.

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Accurate machine failure detection allows manufacturers to estimate potential machine deterioration and avoid machine downtime caused by unexpected performance issues. Predictive maintenance with the use of machine learning algorithms may anticipate machine faults and maximize maintenance efforts to solve machine downtime problems. To anticipate machine breakdowns and minimize downtime, this work applies a variety of machine learning methods, such as Random Forest, Decision Tree, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Gradient Boosting, and Logistic Regression. Based on the
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32

Hussein Mohammed Al-Almoodi, Hamzah, Norsinnira Zainul Azlan, Ifrah Shahdad, and Norhaslinda Kamarudzaman. "Continuous Passive Motion Machine for Elbow Rehabilitation." International Journal of Robotics and Control Systems 1, no. 3 (2021): 402–15. http://dx.doi.org/10.31763/ijrcs.v1i3.446.

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Continuous Passive Machines (CPM) facilitate patients in eliminating joint stiffness after surgery and lead to a faster and more efficient recovery. However, many previous CPM machined are mechanically complicated, expensive, and lack a user interface. This paper presents a new CPM machine for elbow flexion-extension and forearm pronation-supination. The machine is simple, low-cost, and equipped with Graphical User Interface (GUI). Its mechanism is designed so that it can be used on the left or right arms interchangeably. It is developed using aluminum, perspex, and steel rods. The electrical
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33

McKee, Keith E. "Machine tool technology: an extended view." Robotica 5, no. 2 (1987): 167–72. http://dx.doi.org/10.1017/s0263574700015344.

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SUMMARYMany of the evolving technologies related to machining will expand the traditional concept of the machine tool industry. Preprocessing of materials into net or near-net shapes will reduce or even eliminate the need for machining operations. Conversion of particles into parts is one generic approach which, when automated, could be integrated into a machining center. Similarly diecasting or squeeze casting could become an integrated part of the machining center for volume production. The machine tool industry could automate die manufacturing so that dies could be made in real time and cou
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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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Yasar, Sekip Sadiye, Osman Komut, Mehmet Yasar, and Muhammed Said Fidan. "Noise as a physical risk factor in furniture industry machines." BioResources 19, no. 2 (2024): 2017–28. http://dx.doi.org/10.15376/biores.19.2.2017-2028.

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This study aimed to determine the risk level of noise, which is an important physical risk, in small and medium-sized furniture industry enterprises. The noise levels of the circular sawing machines, edge banding machines, and mitre cutting machines, which are among the main processing machines of the sector, were measured. The study was carried out in 32 furniture businesses. The possible risks of noise on the operators of the machines in question and other employees were evaluated. Noise level measurements were made with the help of TESTO 815 measuring device. Dunnett’s T3 test was used to d
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Et. al., Mathew Chacko,. "Cyber-Physical Quality Systems in Manufacturing." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 2006–18. http://dx.doi.org/10.17762/turcomat.v12i2.1805.

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Digital Twin-based Cyber-Physical Quality System (DT-CPQS) concept involves automated quality checking, simulation, and prediction of manufacturing operations to improve production efficiency and flexibility as part of Industrie4.0 initiatives. DT-CPQS will provide the basis for the manufacturing process to march towards an autonomous quality platform for zero defect manufacturing in the future. Analysing sensor data from the CNC machine and vision monitoring system it was concluded that there was enough signal data to detect quality issues in a part being machined in advance using statistical
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Barylski, Adam, and Mariusz Deja. "Finishing of Ceramics in a Single-Disk Lapping Machine Configuration." Solid State Phenomena 165 (June 2010): 237–43. http://dx.doi.org/10.4028/www.scientific.net/ssp.165.237.

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Lapping of plane surfaces is the technology which allows achieving high surface quality. Kinematics of lapping has the main effect on the flatness of active plane of the lapping tools as well as on the quality and flatness of the machined surface. Lapping machines can be used for grinding without the chuck-related problems as encountered in conventional surface grinding. The configuration of a conventional single-disk lapping machine was modified and the rotational velocity of a workpiece holder can be precisely controlled by a stepper motor. Two types of tools were used for experiments on a m
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Huang, Kwei-Long, Jakey Blue, Hao-Chen Weng, and Shu-Han Liu. "Single machine scheduling with consideration of preventive maintenance and machine health." MATEC Web of Conferences 192 (2018): 01009. http://dx.doi.org/10.1051/matecconf/201819201009.

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Because of Industry 4.0 and Internet of Things, it is easier to collect data from machines through sensors that are embedded inside machines. Once the status change of a machine is detected, production on that machine may need to be adjusted accordingly. In this research, we focus on single machine scheduling with considering the Preventive Maintenance (PM) and machine health index. Machine health index is categorized into three states: good, fair, and breakdown. When the machine moves from one state to another, the processing time of jobs will change as well as the machine failure rate. We de
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ROBINSON, RAPHAEL M. "MINSKY'S SMALL UNIVERSAL TURING MACHINE." International Journal of Mathematics 02, no. 05 (1991): 551–62. http://dx.doi.org/10.1142/s0129167x91000302.

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Marvin L. Minsky constructed a 4-symbol 7-state universal Turing machine in 1962. It was first announced in a postscript to [2] and is also described in [3, Sec. 14.8]. This paper contains everything that is needed for an understanding of his machine, including a complete description of its operation. Minsky's machine remains one of the minimal known universal Turing machines. That is, there is no known such machine which decreases one parameter without increasing the other. However, Rogozhin [6], [7] has constructed seven universal machines with the following parameters: [Formula: see text] H
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40

Sellam, Abdelkrim, Boubakeur Dehiba, Mohamed B. Benabdallah, et al. "Vectorial Formalism of Polyphase Synchronous Machine With Permanents Magnets." Aceh International Journal of Science and Technology 2, no. 1 (2013): 1–7. http://dx.doi.org/10.13170/aijst.2.1.482.

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Abstract- This paper presents a mathematical model that transforms the real machine to fictitious machines and our goal is to simulate these and see the behavior of these machines in load. The polyphase machines are developed mainly in the field of variable speed drives of high power because increasing the number of phases on the one hand allows to reduce the dimensions of the components in power modulators energy and secondly to improve the operating safety. By a vector approach (vector space), it is possible to find a set of single-phase machine and / or two-phase fictitious equivalent to po
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Matsuda, Michiko, and Fumihiko Kimura. "Configuration of the Digital Eco-Factory for Green Production." International Journal of Automation Technology 6, no. 3 (2012): 289–95. http://dx.doi.org/10.20965/ijat.2012.p0289.

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This paper proposes a construction method for the digital eco-factory to support promotion and implementation of green production. The digital eco-factory is configured on the digital factory. The digital factory is constructed by applying multi agent technology. In the digital factory, all factory elements such as machine tools and assembly machines are configured as software agents. The digital factory mirrors the structure of the actual factory. The shop floor is modeled as a virtual shop floor by machine agents. In addition to machine agents, machined workpieces and assembled parts are als
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42

Palka, Ryszard, Kamil Cierzniewski, Marcin Wardach, and Pawel Prajzendanc. "Research on Innovative Hybrid Excited Synchronous Machine." Energies 16, no. 18 (2023): 6600. http://dx.doi.org/10.3390/en16186600.

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This paper presents research on an unconventional electric machine. It is a hybrid excited machine which includes the features of three types of machines: the Permanent Magnet Synchronous Machine, the Synchronous Machine, and the Synchronous Reluctance Machine. Therefore, a broad literature review related to the above-mentioned types of machines was constructed. The well-known Permanent Magnet assisted Synchronous Reluctance Machine joins features of Permanent Magnet Synchronous Machine and Synchronous Reluctance Machine topologies. This paper shows the results of the innovative design of the
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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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Munadi, M., Aulia Syukri, Joga Dharma Setiawan, and Mochammad Ariyanto. "Rancang-bangun prototipe mesin CNC laser engraving dua sumbu menggunakan diode laser." Jurnal Teknik Mesin Indonesia 13, no. 1 (2018): 32. http://dx.doi.org/10.36289/jtmi.v13i1.88.

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The development of industrial technology can help the manufacturing industry for producing quality products. One tool that can help produce such quality products is CNC machines. As we know that the price of CNC machines is not cheap. Therefore, in this article, the researchers suggest how to design a prototype CNC laser engraving machine for the acrylic workpiece. The machine is designed as cheaply as possible but provide great benefits. The machine frame is designed using aluminum extrusion, the laser uses a laser diode type, the actuators of axis uses the stepper motor, and the control soft
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Wang, Zhong Ren, and Yan Hua Wu. "On-Machine Illumination Technique in Industry Machine Vision." Advanced Materials Research 201-203 (February 2011): 1582–85. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.1582.

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On-machine illumination is a key technology in industry machine vision. In this paper, two on-machine illuminant schemes were introduced. Firstly, for vision measurement of large-scale workpiece, an adjustable LED lighting source was established on the worktable of NC milling machine. High-quality image sequence was acquired to guarantee the effect of image mosaicing. Secondly, for texture classification of machined surface, a kind of dome LED illuminant was set up on the lathe. Experiment results show that red light is appropriate selection for on-machine illumination. Moreover, the size and
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ShangGuan, Chun Xia, Jun Tao Li, and Rui Feng Shi. "Rescheduling of Parallel Machines under Machine Failures." Advanced Materials Research 443-444 (January 2012): 724–30. http://dx.doi.org/10.4028/www.scientific.net/amr.443-444.724.

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In this study, we address a rescheduling problem in parallel machine environments under machines failures. To make a balance between efficiency and stability of the reschedules, we consider the total number of tardy jobs as efficiency measure and the number of jobs processed on different machines in the initial and revised schedules as a stability measure. Then a heuristic algorithm which synthesizes beam search (BS) and repair-based constraint satisfaction algorithm is developed. Numerical experiments are processed to evaluate the performance and efficiency of the proposed algorithm. The expe
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Gupta, Manoj, and Shivakumar Raman. "Machine vision assisted characterization of machined surfaces." International Journal of Production Research 39, no. 4 (2001): 759–84. http://dx.doi.org/10.1080/00207540010011045.

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Chuang, Ming-Chou, Ching-Jong Liao, and Chien-Wen Chao. "Parallel machine scheduling with preference of machines." International Journal of Production Research 48, no. 14 (2009): 4139–52. http://dx.doi.org/10.1080/00207540902991674.

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Li, Jie, Gongde Yang, and Fei Rao. "Analysis and Design of Novel Axial Field Flux-Modulation Permanent Magnet Machines for Direct Drive Application." Machines 10, no. 7 (2022): 495. http://dx.doi.org/10.3390/machines10070495.

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Axial field flux-modulation permanent magnet (AF-FMPM) machines have been developed for direct drive applications such as wind power generation, HEVs, and railway traction. However, the existing studies on AF-FMPM machines are limited to the PM rotor structure, and less research has been carried out on AF-FMPM machines with PM stator structure. This paper studies two axial field flux-modulation permanent magnet (AF-FMPM) machines, i.e., NS or NN type, which all consist of the same stator and rotor structures but the dual identical outer surface-mounted PM stators face each other in different p
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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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