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Journal articles on the topic 'Multi-machine'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Shirvani, Mojtaba, Mostafa Abdollahi, Ali Akbar Dusti, and Iman Baghbani. "Wind parks fluctuations at multi machine environment." International Journal of Academic Research 6, no. 3 (2014): 202–7. http://dx.doi.org/10.7813/2075-4124.2014/6-3/a.28.

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2

M, Lokesh, Raj Kumar K, Shoron J, et al. "Assembly of Multi Filament 3D Printing Machine." International Journal of Research Publication and Reviews 6, no. 3 (2025): 6572–82. https://doi.org/10.55248/gengpi.6.0325.1297.

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3

Manske, Eberhard, Gerd Jäger, Rostyslav Mastylo, and Denis Dontsov. "NANOPOSITIONING AND NANOMEASURING MACHINE FOR MULTI-SENSOR APPLICATIONS." Measuring Equipment and Metrology 81, no. 2 (2020): 17–24. http://dx.doi.org/10.23939/istcmtm2020.02.017.

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4

Kawaguchi, Yasuhiro, Keiichi Nakamoto, Toru Ishida, and Yoshimi Takeuchi. "C8 Artistic Machining by Means of Multi-tasking Machine(Multi-axis control machining)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2009.5 (2009): 145–48. http://dx.doi.org/10.1299/jsmelem.2009.5.145.

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5

Li, Dewei, Wei Zhang, Dongkuan Xu, and Yingjie Tian. "Multi-metrics Classification Machine." Procedia Computer Science 91 (2016): 556–65. http://dx.doi.org/10.1016/j.procs.2016.07.142.

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6

Akhalaya, B. Kh, Yu Kh Shogenov, S. I. Starovoytov, and A. Kh Shogenov. "Multi-operational Combined Machine." Machinery and Equipment for Rural Area, no. 10 (October 28, 2022): 14–17. http://dx.doi.org/10.33267/2072-9642-2022-10-14-17.

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The features of the operation of a multi-operational combined machine (cultivator) with a universal working device that is inserted into the nose of the cultivator, while the upper half of the device serves as a ripper, and the lower half acts as a slot cutter, are considered. To change the heights of the ripper and slot cutter, it is enough to turn them over 180° when they are put in place. The multi-operational combined tillage machine improved in this way can simultaneously perform several important technological operations: loosening, slotting, milling and leveling the surface with compact

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7

Moriwaki, T. "Multi-functional machine tool." CIRP Annals 57, no. 2 (2008): 736–49. http://dx.doi.org/10.1016/j.cirp.2008.09.004.

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8

Niteesh, Kumar, Tanwar Akash, and Upadhyay Hemant. "MULTI OPERATIONAL MACHINE TOOL." International Journal For Applied Research in Science and Engineering 3, no. 2 (2021): 22. https://doi.org/10.5281/zenodo.5168635.

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The concept of Multi-Operational Machine tool is mainly concerned for production based industries. Industries are basically meant for production of useful goods and services at low production cost. We are going to develop a conceptual model of a machine which would be capable of performing different operations simultaneously at high efficiency. The machine proposed in this project can perform tasks like drilling, sawing, cutting and grinding at one work station. The reason to design a multi- operational mechanical machine is that there is no machine which can perform various operations (i.e. d

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9

Tushar, Lakhmani, Asthana Prakhar, Sharma Mragank, and Verma Vivek. "Multi-Purpose Agriculture Machine." International Journal of Engineering and Management Research 8, no. 3 (2018): 12–14. https://doi.org/10.5281/zenodo.3360177.

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The paper aims on the design, development and the fabrication of the vehicle which can dig the soil, sow the seeds, leveler to close the soil and pump to spray water, these whole systems of the vehicle works with the battery and solar power, the vehicle is controlled by toggle switch. In recent years the development of the autonomous vehicles in the agriculture has experienced increased interest. The advantages of these vehicles are hands-free and fast input operations. In the field of agricultural autonomous vehicle, a concept is been developed to investigate if multiple small autonomous mach

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10

FUJIOKA, Mikihito, Toshiki HIROGAKI, Eiichi AOYAMA, Keiji OGAWA, and Masatoshi IWAMA. "Development of Multi-functional Mini Machine Tool Integrated Heat Treatment Processes(Advanced machine tool)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 479–84. http://dx.doi.org/10.1299/jsmelem.2005.2.479.

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11

Karmarkar, Uday S., Sham Kekre, and Sunder Kekre. "Lotsizing in Multi-Item Multi- Machine Job Shops." IIE Transactions 17, no. 3 (1985): 290–98. http://dx.doi.org/10.1080/07408178508975305.

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12

Gao, Feng, and Kai Strunz. "Multi-scale simulation of multi-machine power systems." International Journal of Electrical Power & Energy Systems 31, no. 9 (2009): 538–45. http://dx.doi.org/10.1016/j.ijepes.2009.04.002.

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13

Liu, Shao-Chen, Yu-Ren Chen, Cheng-Ju Kuo, et al. "Multi-tasking multi-machine scheduling system for multi-stage multi-criteria production." MATEC Web of Conferences 185 (2018): 00023. http://dx.doi.org/10.1051/matecconf/201818500023.

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In recent years, many major manufacturers have been incorporating Industry 4.0 technologies such as preventive fault detection, automated scheduling algorithms, and component management to increase productivity and reduce production costs. Achieving this objective requires a substantial amount of working capital to acquire large quantities of new machinery, equipment to extract data from the machinery, and high-priced big data analysis software. However, most factories in the world are small-or medium-sized companies and have not enough capital to replace their machinery or purchase big data a

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14

Bykovskiy, M. A., P. S. Eliseev, and M. I. Golubev. "Multi-functional forest machine modernization." FORESTRY BULLETIN 25, no. 2 (2021): 116–19. http://dx.doi.org/10.18698/2542-1468-2021-2-116-119.

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A new layout of a multifunctional logging machine, created on the basis of the Amkodor 2631 forwarder by retrofitting its trailer with a caterpillar mechanism, is considered. A diagram of the designed layout of a multifunctional forestry machine is presented. Preliminary calculation of the optimal contact patch of the retrofitted module of the designed machine layout is presented. The description of possible technical solutions during its operation is stated. The proposed layout allows you to expand the technical and operational indicators of the forestry machine.

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15

Pham, MinhQuang, Josep Maria Crego, and François Yvon. "Revisiting Multi-Domain Machine Translation." Transactions of the Association for Computational Linguistics 9 (February 2021): 17–35. http://dx.doi.org/10.1162/tacl_a_00351.

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When building machine translation systems, one often needs to make the best out of heterogeneous sets of parallel data in training, and to robustly handle inputs from unexpected domains in testing. This multi-domain scenario has attracted a lot of recent work that fall under the general umbrella of transfer learning. In this study, we revisit multi-domain machine translation, with the aim to formulate the motivations for developing such systems and the associated expectations with respect to performance. Our experiments with a large sample of multi-domain systems show that most of these expect

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16

Zhao, Liang, Yanshan Xiao, Bo Liu, and Zhifeng Hao. "Multi-view partial label machine." Information Sciences 586 (March 2022): 310–25. http://dx.doi.org/10.1016/j.ins.2021.11.070.

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17

TANASE, Yukihiko. "Horizontal Multi-stage Forging Machine." Journal of the Japan Society for Technology of Plasticity 55, no. 645 (2014): 917–21. http://dx.doi.org/10.9773/sosei.55.917.

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18

Lin, C. T., and C. S. G. Lee. "A multi-valued Boltzmann machine." IEEE Transactions on Systems, Man, and Cybernetics 25, no. 4 (1995): 660–69. http://dx.doi.org/10.1109/21.370198.

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19

Mao, Wentao, Shengjie Zhao, Xiaoxia Mu, and Haicheng Wang. "Multi-dimensional extreme learning machine." Neurocomputing 149 (February 2015): 160–70. http://dx.doi.org/10.1016/j.neucom.2014.02.073.

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20

Van Den Dooren, David, Thomas Sys, Túlio A. M. Toffolo, Tony Wauters, and Greet Vanden Berghe. "Multi-machine energy-aware scheduling." EURO Journal on Computational Optimization 5, no. 1-2 (2016): 285–307. http://dx.doi.org/10.1007/s13675-016-0072-0.

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21

Agnetis, Alessandro, Dario Pacciarelli, and Andrea Pacifici. "Multi-agent single machine scheduling." Annals of Operations Research 150, no. 1 (2007): 3–15. http://dx.doi.org/10.1007/s10479-006-0164-y.

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22

MORIWAKI, Toshimichi. "Introductin "Mother Machine and Multi-axis Control Machine Tool"." Journal of the Society of Mechanical Engineers 111, no. 1073 (2008): 282–85. http://dx.doi.org/10.1299/jsmemag.111.1073_282.

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23

Rahman, M., A. B. M. A. Asad, Takeshi Masaki, Y. S. Wong, and H. S. Lim. "A08 A MULTI-PROCESS MACHINE TOOL FOR HYBRID MICRO MACHINING." Proceedings of The Manufacturing & Machine Tool Conference 2008.7 (2008): 31–32. http://dx.doi.org/10.1299/jsmemmt.2008.7.31.

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24

Babu, Mannava Yesu. "Aspect Category Detection Using Multi Label Multi Class Support Vector Machine with Semantic and Lexical Features." Journal of Advanced Research in Dynamical and Control Systems 12, no. 1 (2020): 398–405. http://dx.doi.org/10.5373/jardcs/v12i1/20201920.

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25

Bouscayrol, A., B. Davat, B. de Fornel, et al. "Multi-converter multi-machine systems: application for electromechanical drives." European Physical Journal Applied Physics 10, no. 2 (2000): 131–47. http://dx.doi.org/10.1051/epjap:2000124.

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26

Liao, Yunn-Shiuan, Shun-Tong Chen, and Chang-Sheng Lin. "Development of A Multi-function High Precision Tabletop CNC Machine for Making Micro Parts(Advanced machine tool)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 485–90. http://dx.doi.org/10.1299/jsmelem.2005.2.485.

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27

Alekseev, Andrey. "Korsakov Machine (1832) as a Prototype Multi-Agent Supercomputer Machine." Artificial societies 14, no. 1 (2019): 0. http://dx.doi.org/10.18254/s207751800004999-7.

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28

Maracic, Hrvoje, Tihana Miskovic, Mario Kusek, and Ignac Lovrek. "Context-aware Multi-agent System in Machine-to-Machine Communication." Procedia Computer Science 35 (2014): 241–50. http://dx.doi.org/10.1016/j.procs.2014.08.104.

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29

Sobaszek, Łukasz, Arkadiusz Gola, and Antoni Świć. "Time-based machine failure prediction in multi-machine manufacturing systems." Eksploatacja i Niezawodnosc - Maintenance and Reliability 22, no. 1 (2019): 52–62. http://dx.doi.org/10.17531/ein.2020.1.7.

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30

KITAMURA, Akihiro, Yoshimi TAKEUCHI, and Takashi SAITOU. "Development of Die Mold Processing Machine with Multi-Spindles and Axes(Multi-axis control machining and measurement)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.1 (2005): 91–96. http://dx.doi.org/10.1299/jsmelem.2005.1.91.

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31

Liang, Junjie, Dongkuan Xu, Yiwei Sun, and Vasant Honavar. "LMLFM: Longitudinal Multi-Level Factorization Machine." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 4811–18. http://dx.doi.org/10.1609/aaai.v34i04.5916.

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We consider the problem of learning predictive models from longitudinal data, consisting of irregularly repeated, sparse observations from a set of individuals over time. Such data often exhibit longitudinal correlation (LC) (correlations among observations for each individual over time), cluster correlation (CC) (correlations among individuals that have similar characteristics), or both. These correlations are often accounted for using mixed effects models that include fixed effects and random effects, where the fixed effects capture the regression parameters that are shared by all individual

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32

Lorton, N., and EM Cumming. "A Multi-purpose, Programmable Smoking Machine." Beiträge zur Tabakforschung International/Contributions to Tobacco Research 14, no. 1 (1987): 45–51. http://dx.doi.org/10.2478/cttr-2013-0584.

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AbstractCommercially available cigarette smoking machines are designed to operate at a standard set of smoking parameters and offer little scope for changing the smoking pattern. This paper describes a Programmable Smoking Machine (PSM) which operates in a way that no current commercial machine can. It can smoke cigarettes in a non-standard manner and obtain information useful for the examination of the influence of smoke generation patterns on the smoke yields as an aid to the design of cigarettes. The PSM consists of a stepper motor driven glass syringe and three-way valve controlled by micr

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33

WANG, ZHE, MINGZHE LU, ZENGXIN NIU, XIANGYANG XUE, and DAQI GAO. "COST-SENSITIVE MULTI-VIEW LEARNING MACHINE." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 03 (2014): 1451004. http://dx.doi.org/10.1142/s0218001414510045.

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Multi-view learning aims to effectively learn from data represented by multiple independent sets of attributes, where each set is taken as one view of the original data. In real-world application, each view should be acquired in unequal cost. Taking web-page classification for example, it is cheaper to get the words on itself (view one) than to get the words contained in anchor texts of inbound hyper-links (view two). However, almost all the existing multi-view learning does not consider the cost of acquiring the views or the cost of evaluating them. In this paper, we support that different vi

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34

Thompson, S., and R. Lins. "The Categorical Multi-Combinator Machine: CMCM." Computer Journal 35, no. 2 (1992): 170–76. http://dx.doi.org/10.1093/comjnl/35.2.170.

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35

Kempka, Anthony A. "Microcomputers and multi-tasking machine control." ACM SIGSMALL/PC Notes 17, no. 3-4 (1991): 47–54. http://dx.doi.org/10.1145/140738.140811.

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36

C. E. Hood, Y. Alper, and R. E. Williamson. "Multi-Purpose, Vegetable Production Machine Investigations." Applied Engineering in Agriculture 6, no. 6 (1990): 691–96. http://dx.doi.org/10.13031/2013.26449.

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37

Li, Yifen, Yun Wang, Zhiya Chen, and Runmin Zou. "Bayesian robust multi-extreme learning machine." Knowledge-Based Systems 210 (December 2020): 106468. http://dx.doi.org/10.1016/j.knosys.2020.106468.

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38

Xu, Jianhua. "Fast multi-label core vector machine." Pattern Recognition 46, no. 3 (2013): 885–98. http://dx.doi.org/10.1016/j.patcog.2012.09.003.

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39

Li, Ya, Xinmei Tian, Mingli Song, and Dacheng Tao. "Multi-task proximal support vector machine." Pattern Recognition 48, no. 10 (2015): 3249–57. http://dx.doi.org/10.1016/j.patcog.2015.01.014.

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40

Cai, Xiaoqiang, and T. C. E. Cheng. "Multi-machine scheduling with variance minimization." Discrete Applied Mathematics 84, no. 1-3 (1998): 55–70. http://dx.doi.org/10.1016/s0166-218x(98)00020-1.

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41

Firat, Orhan, Kyunghyun Cho, Baskaran Sankaran, Fatos T. Yarman Vural, and Yoshua Bengio. "Multi-way, multilingual neural machine translation." Computer Speech & Language 45 (September 2017): 236–52. http://dx.doi.org/10.1016/j.csl.2016.10.006.

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42

Zhang, Xinhui, and Jonathan F. Bard. "A multi-period machine assignment problem." European Journal of Operational Research 170, no. 2 (2006): 398–415. http://dx.doi.org/10.1016/j.ejor.2004.07.051.

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43

Navia-Vázquez, A. "Compact multi-class support vector machine." Neurocomputing 71, no. 1-3 (2007): 400–405. http://dx.doi.org/10.1016/j.neucom.2007.08.016.

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44

Meng, Fan Bo, and Tao Wu. "Design of Multi-Legged Walking Machine." Advanced Materials Research 1078 (December 2014): 216–19. http://dx.doi.org/10.4028/www.scientific.net/amr.1078.216.

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It is hard for normal traffic to travel on rugged road and polluted for the environment. So a new multi-legged walking machine with double mixed power is designed. The machine is made up of several parts, including mechanic walking part with eight legs, transmission part with two gears, two electric control footboards, two power motors and a folded beach umbrella. Detailed explanation of designed idea and process for mechanic walking legs is made. Detailed explanation of transmission ratio, circuit diagram and working principle for gear transmission is made as well. It makes simulation analysi

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45

Mosheiov, Gur. "Multi-Machine Scheduling With Linear Deterioration." INFOR: Information Systems and Operational Research 36, no. 4 (1998): 205–14. http://dx.doi.org/10.1080/03155986.1998.11732359.

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46

Saigal, Pooja, Suresh Chandra, and Reshma Rastogi. "Multi-category ternion support vector machine." Engineering Applications of Artificial Intelligence 85 (October 2019): 229–42. http://dx.doi.org/10.1016/j.engappai.2019.06.014.

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47

Martin, James. "Multi-machine assignment workload calculation sheet." Computers & Industrial Engineering 11, no. 1-4 (1986): 346–50. http://dx.doi.org/10.1016/0360-8352(86)90108-7.

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48

Zhang, S. J., D. Howard, D. J. Sanger, and S. Miao. "Multi-legged walking machine body design." Robotica 15, no. 6 (1997): 593–98. http://dx.doi.org/10.1017/s0263574797000714.

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The effects of body geometry on walking machine performance have been investigated, and a body design procedure proposed. The relationships between static workspace, body-geometry and installed joint torques have been derived. A body design procedure that uses this data is then described, and two design examples discussed. The procedure results in a body geometry which minimises the installed joint torques, and hence the machine weight, for the desired workspace area.

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49

de Medeiros, Talles Henrique, Honovan Paz Rocha, Frank Sill Torres, Ricardo Hiroshi Caldeira Takahashi, and Antônio Pádua Braga. "Multi-objective Decision in Machine Learning." Journal of Control, Automation and Electrical Systems 28, no. 2 (2016): 217–27. http://dx.doi.org/10.1007/s40313-016-0295-6.

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50

Tan, Zhi-Hao, Peng Tan, Yuan Jiang, and Zhi-Hua Zhou. "Multi-label optimal margin distribution machine." Machine Learning 109, no. 3 (2019): 623–42. http://dx.doi.org/10.1007/s10994-019-05837-8.

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