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1

Ristau, Detlev, and Henrik Ehlers. "Advanced control and modeling of deposition processes." Chinese Optics Letters 11, S1 (2013): S10203. http://dx.doi.org/10.3788/col201311.s10203.

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2

Belovod, K. A. "The modeling of processes for creating electronic learning tools." Scientific and Technical Information Processing 37, no. 2 (April 2010): 137–42. http://dx.doi.org/10.3103/s0147688210020085.

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3

Madera, Alexander Georgievitch. "Modeling thermal feedback effect on thermal processes in electronic systems." Computer Research and Modeling 10, no. 4 (August 2018): 483–94. http://dx.doi.org/10.20537/2076-7633-2018-10-4-483-494.

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4

Madera, A. G. "Interval-stochastic thermal processes in electronic systems: Analysis and modeling." Journal of Engineering Thermophysics 26, no. 1 (January 2017): 17–28. http://dx.doi.org/10.1134/s1810232817010039.

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5

Madera, A. G. "Interval-stochastic thermal processes in electronic systems: Modeling in practice." Journal of Engineering Thermophysics 26, no. 1 (January 2017): 29–38. http://dx.doi.org/10.1134/s1810232817010040.

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6

Budanov, A. V., E. A. Tatokchin, G. I. Kotov, and D. S. Sayko. "Math modeling of electronic processes and deep level ionization kinetic." Proceedings of the Voronezh State University of Engineering Technologies, no. 2 (January 1, 2016): 78–86. http://dx.doi.org/10.20914/2310-1202-2016-2-78-86.

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7

Kuhn, W. B., Xin He, and M. Mojarradi. "Modeling spiral inductors in SOS processes." IEEE Transactions on Electron Devices 51, no. 5 (May 2004): 677–83. http://dx.doi.org/10.1109/ted.2004.826868.

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8

Petrushevskaya, A. A. "DIGITAL ELECTRONICS PRODUCTION MODELING AND PRODUCT QUALITY ASSURANCE." Issues of radio electronics, no. 1 (January 20, 2019): 46–50. http://dx.doi.org/10.21778/2218-5453-2019-1-46-50.

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The introduction of elements of the concept of digital production is especially important in enterprises manufacturing electronic products that are in demand in all spheres of human activity. To create new objects representing the digital production concept, it is necessary to introduce technological innovations in the production of electronics. This is achieved by solving actual analyzing problems system properties means of production and ensuring product quality. Therefore, the article purpose is to ensure the quality of electronic products based on models and methods for analyzing the means and processes of electronic production. To achieve the goal, the digital production development in a structural framework, functional and informational description are considered. The results of the simulation stages of the production life cycle allowed us to estimate the achieved product quality level while improving the subsystems of automatic installation of printed circuit boards.
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Podoliak, O. O., V. A. Ovchinnikova, S. N. Selyahov, T. G. Kormin, and A. V. Korejatov. "Optimization methods of assembly processes of defibrillation equipment." Ural Radio Engineering Journal 5, no. 4 (2021): 410–31. http://dx.doi.org/10.15826/urej.2021.5.4.005.

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The electronic medical equipment developing process includes the problems and tasks of medical devices’ technical characteristics improvement, using alternative physical methods of recording medical information. Medical electronic equipment includes defibrillation equipment of various classes, the modernization of which is inextricably connected with scientific and technical research in the field of physics, circuit engineering, design, technology, modeling, characteristics’ measurement, as well as medicine. One of the interdisciplinary research areas at the cardiology and engineering issue is the development of new and modernisation of existing defibrillation devices, improving their functional and operational characteristics, as well as their application efficiency, which is necessary for the provision of extended resuscitation measures. This research is devoted to the research and modeling of defibrillator performance characteristics taking into account components reliability and the operational failure rate determination. The paper also contains study of the production process optimizing methods, in particular assembly operations of high-tech defibrillation products, where the search of optimization solutions was carried out using simulation modeling.
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10

Eremina, V. V., O. V. Zhilindina, and E. A. Podolko. "MODELING THE ELECTRONIC CHARACTERISTICS OF ELECTRICAL CERAMICS. PART. II." Informatika i sistemy upravleniya, no. 1 (2021): 66–74. http://dx.doi.org/10.22250/isu.2021.67.66-74.

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The efficiency of mathematical modeling of the operational frequency spectra of composite materials caused by the processes of elastic electronic polarization is examined. The second part of the paper presents the results of modeling the electronic properties of pure oxides.
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Eremina, V. V., O. V. Zhilindina, and E. A. Podolko. "MODELING THE ELECTRONIC CHARACTERISTICS OF ELECTRICAL CERAMICS. PART III." Informatika i sistemy upravleniya, no. 3 (2021): 67–74. http://dx.doi.org/10.22250/isu.2021.69.67-74.

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The efficiency of mathematical modeling of composite materials operational frequency spectra, caused by the processes of elastic electronic polarization is examined. The results of modeling the electronic properties of pure oxides are presented in the second part of the paper.
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12

Jaunich, Megan Kramer, Joseph DeCarolis, Robert Handfield, Eda Kemahlioglu-Ziya, S. Ranji Ranjithan, and Hadi Moheb-Alizadeh. "Life-cycle modeling framework for electronic waste recovery and recycling processes." Resources, Conservation and Recycling 161 (October 2020): 104841. http://dx.doi.org/10.1016/j.resconrec.2020.104841.

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13

Becker, D. V., and P. A. Sandborn. "On the use of yielded cost in modeling electronic assembly processes." IEEE Transactions on Electronics Packaging Manufacturing 24, no. 3 (July 2001): 195–202. http://dx.doi.org/10.1109/6104.956805.

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14

Rozhkova, Elena, Gulomjon Pirnazarov, Mirzokhid Mirzaakhmedov, Sunnat Khozhakhmatov, and Bakhtigul Artykova. "Modeling of temperature processes in orthotropic boards of radio-electronic devices." E3S Web of Conferences 413 (2023): 05012. http://dx.doi.org/10.1051/e3sconf/202341305012.

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The design of electronic equipment that is resistant to external influences is a topical problem. The arrangement of individual circuit parts is modeled in the form of an orthotropic plate. The paper describes the solutions of homogeneous and inhomogeneous thermal conductivity equation for an orthotropic rectangular plate, obtained by the recurrence-operator method. Numerical results are given for two cases of temperature distribution, satisfying zero boundary conditions, during cooling and heating and given initial conditions.
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15

Roppert, K., F. Toth, and M. Kaltenbacher. "Modeling Nonlinear Steady-State Induction Heating Processes." IEEE Transactions on Magnetics 56, no. 3 (March 2020): 1–4. http://dx.doi.org/10.1109/tmag.2019.2957343.

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16

Novozhilov, Vasily B., Valeria L. Bodneva, Kairat S. Kurmangaleev, Boris V. Lidskii, Vladimir S. Posvyanskii, and Leonid I. Trakhtenberg. "Modeling of the Electronic Structure of Semiconductor Nanoparticles." Mathematics 11, no. 9 (May 8, 2023): 2214. http://dx.doi.org/10.3390/math11092214.

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This paper deals with the mathematical modeling of the electronic structure of semiconductor particles. Mathematically, the task is reduced to a joint solution of the problem of free energy minimization and the set of chemical kinetic equations describing the processes at the surface of a nanoparticle. The numerical modeling of the sensor effect is carried out in two steps. First, the number of charged oxygen atoms on the surface of the nanoparticle NO− is determined. This value is found by solving a system of nonlinear algebraic equations, where the unknowns are the stationary points of this system describing the processes on the surface of a nanoparticle. The specific form of such equations is determined by the type of nanoparticles and the mechanism of chemical reactions on the surface. The second step is to calculate the electron density inside the nanoparticle (nc(r)), which gives the minimum free energy. Mathematically, this second step reduces to solving a boundary value problem for a nonlinear integro-differential equation. The calculation results are compared with experimental data on the sensor effect.
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17

Garifullina, Nadezhda A. "DIGITAL SIMULATION TECHNOLOGIES FOR ELECTRONIC SYSTEMS DEVELOPMENT." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 8/5, no. 147 (2024): 127–38. http://dx.doi.org/10.36871/ek.up.p.r.2024.08.05.014.

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The article discusses digital modeling technologies that play a key role in the modern process of developing electronic systems. The main focus is on the advantages of digital modeling, such as reducing design time, reducing costs and increasing accuracy. Examples of successful application of these technologies in practice are given, and the prospects for their further development and impact on the industry are discussed. The work emphasizes the importance of digital modeling for optimizing design processes and increasing the reliability of electronic systems.
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18

David, S. A., T. DebRoy, and J. M. Vitek. "Phenomenological Modeling of Fusion Welding Processes." MRS Bulletin 19, no. 1 (January 1994): 29–35. http://dx.doi.org/10.1557/s0883769400038835.

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Welding is utilized in 50% of the industrial, commercial, and consumer products that make up the U.S. gross national product. In the construction of buildings, bridges, ships, and submarines, and in the aerospace, automotive, and electronic industries, welding is an essential activity. In the last few decades, welding has evolved from an empirical art to a more scientifically based activity requiring synthesis of knowledge from various disciplines. Defects in welds, or poor performance of welds, can lead to catastrophic failures with costly consequences, including loss of property and life.Figure 1 is a schematic diagram of the welding process showing the interaction between the heat source and the base metal. During the interaction of the heat source with the material, several critical events occur: melting, vaporization, solidification, and solid-state transformations. The weldment is divided into three distinct regions: the fusion zone (FZ), which undergoes melting and solidification; the heat-affected zone (HAZ) adjacent to the FZ, that may experience solid-state phase changes but no melting; and the unaffected base metal (BM).Creating the extensive experimental data base required to adequately characterize the highly complex fusion welding process is expensive and time consuming, if not impractical. One recourse is to simulate welding processes either mathematically or physically in order to develop a phenomenological understanding of the process. In mathematical modeling, a set of algebraic or differential equations are solved to obtain detailed insight of the process. In physical modeling, understanding of a component of the welding process is achieved through experiments designed to avoid complexities that are unrelated to the component investigated.In recent years, process modeling has grown to be a powerful tool for understanding the welding process. Using computational modeling, significant progress has been made in evaluating how the physical processes in the weld pool influence the development of the weld pool and the macrostructures and microstructures of the weld.
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19

Beljonne, David, Jérôme Cornil, Luca Muccioli, Claudio Zannoni, Jean-Luc Brédas, and Frédéric Castet. "Electronic Processes at Organic−Organic Interfaces: Insight from Modeling and Implications for Opto-electronic Devices†." Chemistry of Materials 23, no. 3 (February 8, 2011): 591–609. http://dx.doi.org/10.1021/cm1023426.

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20

Shevtsov, A. A., and A. A. Shil’nov. "Modeling processes in onboard systems of cars." Russian Electrical Engineering 81, no. 10 (October 2010): 563–67. http://dx.doi.org/10.3103/s1068371210100111.

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21

Suñol, J. J., R. Berlanga, M. T. Clavaguera-Mora, and N. Clavaguera. "Modeling crystallization processes: transformation diagrams." Acta Materialia 50, no. 19 (November 2002): 4783–90. http://dx.doi.org/10.1016/s1359-6454(02)00321-x.

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22

Okolnishnikov, V. V., A. A. Ordin, and S. V. Rudometov. "Modeling of Underground Coal Mining Processes." Optoelectronics, Instrumentation and Data Processing 55, no. 4 (July 2019): 383–87. http://dx.doi.org/10.3103/s8756699019040095.

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23

Euler, Timm. "Modeling preparation for data mining processes." Journal of Telecommunications and Information Technology, no. 4 (December 30, 2006): 81–87. http://dx.doi.org/10.26636/jtit.2006.4.391.

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Today many different software tools for decision support exist; the same is true for data mining which can be seen as a particularly challenging sub-area of decision support. Choosing the most suitable tool for a particular industrial data mining application is becoming difficult, especially for industrial decision makers whose expertise is in a different field. This paper provides a conceptual analysis of crucial features of current data mining software tools, by establishing an abstract view on typical processes in data mining. Thus a common terminology is given which simplifies the comparison of tools. Based on this analysis, objective decisions for the application of decision supporting software tools in industrial practice can be made.
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24

Jónás, Tamás, Noémi Kalló, and Zsuzsanna Eszter Tóth. "Application of Markov Chains for Modeling and Managing Industrial Electronic Repair Processes." Periodica Polytechnica Social and Management Sciences 22, no. 2 (2014): 87–98. http://dx.doi.org/10.3311/ppso.7438.

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25

Ishioka, Takuya, and Morikazu Takegaki. "Knowledge-based modeling of physical processes." Measurement 12, no. 3 (January 1994): 227–35. http://dx.doi.org/10.1016/0263-2241(94)90029-9.

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26

Kuznetsov, Evgeny V., Dmitry N. Ermakov, Oleg E. Samusenko, Yuri D. Golyaev, Tatyana I. Solovyeva, and Nikita E. Kuznetsov. "Features of the use of computer modeling tools for improving the manufacturing processes of laser gyroscopes." T-Comm 15, no. 12 (2021): 31–43. http://dx.doi.org/10.36724/2072-8735-2021-15-12-31-43.

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The article discusses ways to improve the quality and economic efficiency of the development and production of complex innovative electronic devices, which include laser gyroscopes (LG). The problems that arise when ensuring reliable operation of the LG in a wide temperature range, associated with the dense layout of the device, are described. The theoretical principles and mathematical apparatus that are used in the construction of thermal models of triaxial LG with electronics are considered in detail. The developed algorithm for constructing a thermal model of the LG is presented, which provides for a step-by-step unbundling (zooming) procedure. The process of modeling LG using the ASONIKA system is described, the constructed thermal model of LG is presented, as well as the thermal field of one of the printed nodes of LG. The detected heat-loaded electronic components are indicated. The results of experimental verification of the simulation accuracy by means of real measurement of temperatures in the model nodes by thermal sensors are presented, which confirmed the reliability of thermal modeling using the ASONIKA system. It is emphasized that the cost of manufacturing and testing of LG is quite high. Therefore, the task of finding ways to reduce the cost at the stages of development and production of LG while ensuring the improvement of the quality and reliability of manufactured devices is extremely relevant. Accurate thermal modeling at the early stages of development is an effective way to solve this problem due to cost savings on testing and redesign, as well as due to the use of an inexpensive domestic computer modeling system ASONIKA.
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27

Trindade, Humberto, Mauricio Sperandio, Glauco Oliveira Rodrigues, Dienifer Djustina, and Elenara Milena De Cristo. "System Dynamics Modeling For Co2 Emission Reduction Through Paper Replacement By Electronic Processes In A Public Institution." IOSR Journal of Business and Management 26, no. 10 (October 2024): 12–21. http://dx.doi.org/10.9790/487x-2610171221.

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Background: The study addresses the importance of reducing CO2 emissions to mitigate climate change, focusing on replacing paper use with electronic processes in a public institution. Paper usage significantly contributes to CO2 emissions, while electronic management can reduce these emissions. The study is a proposal that encouraged the electronic processing of administrative tasks to ensure speed. Decree 8.539/2015 made the electronic processing of documents in federal public administration mandatory. The Judiciary branch was a pioneer in implementing electronic processes in Brazilian public institutions. For this article, the Systems Dynamics (SD) methodology was used, and a simulation model was developed to assess the environmental impact of process automation at the Federal University of Santa Maria (UFSM). Key results highlighted the reduction of CO2 emissions and cost savings. The implementation of digital processes resulted in a significant reduction in CO2 emissions, and the adoption of electronic processes generated financial savings. Therefore, System Dynamics modeling is a useful tool for institutions to plan scenarios and promote environmental sustainability. The transition to electronic processes in public institutions can bring significant environmental and economic benefits.
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28

Al-Suod, Mahmoud, Abdullah Eial Awwad, Alaa Al-Quteimat, and Oleksandr Ushkarenko. "Method for describing signal conversion processes in analog electronic systems." Bulletin of Electrical Engineering and Informatics 11, no. 1 (February 1, 2022): 82–92. http://dx.doi.org/10.11591/eei.v11i1.3545.

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One of the main tasks of information technology is to improve existing and develop new methods for formal recording of various dynamic logical operations of analog and digital signal conversion in electronic control systems, acquisition, and processing of information. The stage of formal recording of any signal transformation process must be presented in the form of analytic symbols, the sequence of which must form a fully functional mathematical model. The improved method of the signals conversion processes description based on a representation of the mathematical models of the electronic circuits’ components in the grapho-analytical form with the increased information content allows integrating the developed models of electronic circuit elements with object-oriented programming language in the form of functional structures. It opens the way to perform parametric analysis of circuits and other tasks, related to the modeling of electronic systems.
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29

KUZNETSOV, EVGENY, DMITRII ERMAKOV, OLEG SAMUSENKO, YURI GOLYAEV, YURI KOLBAS, YURI KOFANOV, TATYANA SOLOVYEVA, NIKITA KUZNETSOV, and YURI VINOKUROV. "TECHNICAL AND ECONOMIC ASPECTS OF IMPROVING THE PROCESSES OF MANUFACTURING LASER GYROSCOPES USING METHODS OF COMPUTER SIMULATION." Computational Nanotechnology 8, no. 3 (September 28, 2021): 36–49. http://dx.doi.org/10.33693/2313-223x-2021-8-3-36-49.

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The article discusses ways to improve the quality and economic efficiency of the development and production of complex innovative electronic devices, which include laser gyroscopes (LGs). The problems arising in ensuring the reliable operation of the LG in a wide temperature range, associated with the dense arrangement of the device, are described. The theoretical principles and mathematical apparatus that are used in the construction of thermal models of triaxial LGs with electronics are considered in detail. A developed algorithm for constructing a thermal model of an LG, which provides for a gradual disaggregation (zooming) procedure, is presented. The process of modeling the LG using the ASONIKA system is described, the constructed thermal model of the LG is presented, as well as the thermal field of one of the printed circuit assemblies of the LG. The detected thermally loaded electronic components are indicated. The results of experimental verification of the accuracy of modeling by means of real measurements by temperature sensors of temperatures in the nodes of the model, which have confirmed the reliability of thermal modeling using the ASONIKA system, are presented. It is emphasized that the cost of manufacturing and testing LG is quite high. Therefore, the task of finding ways to reduce the cost at the stages of development and production of LG while ensuring an increase in the quality and reliability of manufactured devices is extremely urgent. Accurate thermal modeling at early stages of development is an effective way to solve this problem due to savings in testing and redesign costs, as well as due to the use of an inexpensive domestic computer simulation system ASONIKA.
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30

Waqas, Maria, Muhammad Khurram, and S. M. Razaul Hasan. "Analog Electronic Circuits to Model Cooperativity in Hill Process." Mehran University Research Journal of Engineering and Technology 39, no. 4 (October 1, 2020): 678–85. http://dx.doi.org/10.22581/muet1982.2004.01.

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In the field of computational biology, electronic modeling of bio-cellular processes is in vogue for about a couple of decades. Fast, efficient and scalable electronic mimetics of recurrently found bio-chemical reactions are expected to provide better electronic circuit simulators that can also be used as bio-sensors or implantable biodevices at cellular levels. This paper presents some possible electronic circuit equivalents to model dynamics of one such bio-chemical reaction commonly involved in many bio-cellular processes, specifically pathways in living cells, known as the Hill process. The distinguishing feature of this process is cooperativity which has been modeled in silicon substrate using a pair of transistors, one transistor driving current in the other the same way ligand binding to one receptor site controls the binding affinity of the other receptor sites. Two possible circuits have been proposed and compared to electronically model cooperativity of a Hill reaction. The main idea is to exploit the natural analogies found between structures and processes of a bio-cell and electronic transistor mechanics, to efficiently model fundamental bio-chemical reactions found recurring in bio-processes. These circuits can then be combined and rearranged quickly to form larger, more complex bio-networks, thus mitigating the intricacies involved in modeling of such systems.
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31

Aleshin, V. I., and A. G. Luchaninov. "Modeling of Domain Processes in Piezoceramic Materials." Ferroelectrics 266, no. 1 (January 2002): 447–60. http://dx.doi.org/10.1080/00150190211328.

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32

Aleshin, V. I., and A. G. Luchaninov. "Modeling of Domain Processes in Piezoceramic Materials." Ferroelectrics 266, no. 1 (January 2002): 111–24. http://dx.doi.org/10.1080/00150190211447.

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33

Chen, X. B., and J. Kai. "Modeling of Positive-Displacement Fluid Dispensing Processes." IEEE Transactions on Electronics Packaging Manufacturing 27, no. 3 (July 2004): 157–63. http://dx.doi.org/10.1109/tepm.2004.843083.

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34

Boulvin, M., A. V. Wouwer, R. Lepore, C. Renotte, and M. Remy. "Modeling and control of cement grinding processes." IEEE Transactions on Control Systems Technology 11, no. 5 (September 2003): 715–25. http://dx.doi.org/10.1109/tcst.2003.816406.

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35

Sixto-Santamaria, Estefany, Salma Coello-Juárez, Gabriel Ramírez-Hernández, Guillermo Trinidad-Sánchez, and J. Márquez-Rubio. "Semi-automatic Prototype for the Control of the Processes of Pressing, Braiding and Cutting of Wires in the Manufacture of Flowerpot Hooks." Memorias del Congreso Nacional de Control Automático 6, no. 1 (October 27, 2023): 609–14. http://dx.doi.org/10.58571/cnca.amca.2023.088.

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This paper presents the design and construction of a semi-automatic prototype to control the processes of pressing, braiding and cutting of wire in the manufacture of flowerpot hooks at the Maquiladora Hermanos CAYFRA (Xochimilco, CDMX). The prototype was developed using 3D modeling and printing, electronics and programming in C language. The proposed prototype is mainly composed of three mechanical structures, an electronic circuit and a user interface to control the processes. The main objective of this work is to improve and reduce the manufacturing time of the wire hooks for flowerpots.
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36

Freeman, Colin L., John H. Harding, David J. Cooke, James A. Elliott, Jennifer S. Lardge, and Dorothy M. Duffy. "New Forcefields for Modeling Biomineralization Processes." Journal of Physical Chemistry C 111, no. 32 (July 24, 2007): 11943–51. http://dx.doi.org/10.1021/jp071887p.

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37

Madera, Alexander Georgievitch. "Hierarchical method for mathematical modeling of stochastic thermal processes in complex electronic systems." Computer Research and Modeling 11, no. 4 (August 2019): 613–30. http://dx.doi.org/10.20537/2076-7633-2019-11-4-613-630.

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38

Madera, Alexander Georgievitch. "Cluster method of mathematical modeling of interval-stochastic thermal processes in electronic systems." Computer Research and Modeling 12, no. 5 (October 2020): 1023–38. http://dx.doi.org/10.20537/2076-7633-2020-12-5-1023-1038.

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39

Lee, Mi Kyung, and David F. Coker. "Modeling Electronic-Nuclear Interactions for Excitation Energy Transfer Processes in Light-Harvesting Complexes." Journal of Physical Chemistry Letters 7, no. 16 (August 3, 2016): 3171–78. http://dx.doi.org/10.1021/acs.jpclett.6b01440.

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40

Gagnoud, A. "Three-Dimensional Integral Method for Modeling Electromagnetic Inductive Processes." IEEE Transactions on Magnetics 40, no. 1 (January 2004): 29–36. http://dx.doi.org/10.1109/tmag.2003.821117.

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41

Heath, Robert W., Marios Kountouris, and Tianyang Bai. "Modeling Heterogeneous Network Interference Using Poisson Point Processes." IEEE Transactions on Signal Processing 61, no. 16 (August 2013): 4114–26. http://dx.doi.org/10.1109/tsp.2013.2262679.

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42

Brazhnikova, K. A. "IMPROVING THE QUALITY OF MODELING THERMODYNAMIC PROCESSES." Dynamics of Systems, Mechanisms and Machines 9, no. 2 (2021): 043–47. http://dx.doi.org/10.25206/2310-9793-9-2-43-47.

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На примере моделирования термодинамических процессов, происходящих в бортовой системе газификации (БСГ) невырабатываемых остатков жидкого топлива в баках ступени ракеты-носителя (РН), с использованием уменьшенной физической модели топливного бака - экспериментальная модельная установка (ЭМУ) в составе экспериментального стенда (ЭС), проектно-конструкторские параметров которой определяются (геометрические параметры, теплоноситель и характеристики модельной жидкости) на основе теории подобия теплофизических процессов, протекающих в реальной конструкции топливного бака ступени РН по критериям Рейнольдса, Нуссельта, Прандтля , предлагаются методические рекомендации по улучшению качества процесса теоретико-экспериментальных исследований на этапе научно-исследовательских работ (НИР).
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43

DEMIDOVICH, Viktor B. "Digital Modeling of Electromagnetic Processes in Technological Induction Devices." Elektrichestvo 7, no. 7 (2021): 26–32. http://dx.doi.org/10.24160/0013-5380-2021-7-26-32.

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Development of an electrical calculation method plays the leading role in simulating induction devices. In modeling electrical devices and complexes, it is often necessary to simultaneously solve both chain and field problems, i.e., to deal with both lumped and distributed parameters. The article considers the method of integral equations for induction systems with non-magnetic and ferromagnetic loading, which is based on the theory of long-range action. The method’s key statement is that the field at any point is determined as the sum of the fields produced by all sources, including primary and secondary ones. Another finite element method is based on the theory of short-range action, which describes the electromagnetic wave propagation from point to point, its refraction and reflection at the boundaries of media. The article substantiates the development of a combined method based on using the method of integral equations for calculating the input parameters of inductors (an external problem) and the finite element method for calculating the field distribution in the load (an internal problem). The combined method has well proven itself in modeling induction heating and melting of metals and oxides, heating a tape in a transverse magnetic field, induction plasmatrons, and casting aluminum into an electromagnetic crystallizer.
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KOLESNIKOV, Vitaliy. "Modeling and software implementation of fibrous waste disposal processes." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 8 (August 5, 2016): 35–37. http://dx.doi.org/10.15199/48.2016.08.09.

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45

Erdem, Aksoy. "Using electronic-collaborative mentoring in higher education-bettering elt student teaching practice processes." i-manager’s Journal on English Language Teaching 12, no. 3 (2022): 61. http://dx.doi.org/10.26634/jelt.12.3.18675.

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This study aims to improve English Language Teaching (ELT) student teachers' teaching practice process with comprehensive and diverse feedback from four different mentors (two national and two international) and to help them better prepare lesson plans and micro-teaching considering intercultural perspectives. Non-parametric tests were used to analyze quantitative data gathered from the scores of five lesson plans and micro-teachings. Qualitative data were obtained from the written feedback to lesson plans, oral feedback to micro teachings and interviews, and analyzed by content analysis. Results showed that mentees' lesson plan and micro teaching scores increased significantly over the semester and this was especially notable in mentees' first three lesson plans and micro teaching. All participants favoured the study activities and suggested that e-co mentoring should be implemented together with face-to-face mentoring in some periods.
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46

Bondaruk, Y. V., T. S. Kavetskyy, A. O. Vinkovskaya, M. Kushniyazova, D. O. Dyachok, L. I. Pankiv, H. M. Klepach, et al. "Improvement of new electronic materials using computer modeling." Semiconductor Physics, Quantum Electronics and Optoelectronics 26, no. 4 (December 5, 2023): 470–74. http://dx.doi.org/10.15407/spqeo26.04.470.

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Porous materials occupy an important place among the materials of electronic equipment. Nanopores, which are obtained by ion irradiation of materials, have a complex internal structure that depends on the interaction of fast ions with the substance. Obtaining such structures is important, in particular, in the manufacture of biosensor devices based on them. The most effective methods of studying their properties are computer simulations. However, effective computer models of track structures, necessary for the development and improvement of modern biosensors, are not being created actively enough. The approach proposed here involves a detailed study of the interaction of ion flows with the inner surface of the nanotrack. This approach takes into account the structural features of the inner surface of the track as well as the role of adsorption and scattering centers and other local centers. In the existing approaches, the processes mentioned above are mainly described phenomenologically, which does not indicate the ways of modifying the characteristics of the material that is necessary for the device improvement.
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47

Mukherjee, Saikat, Dmitry A. Fedorov, and Sergey A. Varganov. "Modeling Spin-Crossover Dynamics." Annual Review of Physical Chemistry 72, no. 1 (April 20, 2021): 515–40. http://dx.doi.org/10.1146/annurev-physchem-101419-012625.

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In this article, we review nonadiabatic molecular dynamics (NAMD) methods for modeling spin-crossover transitions. First, we discuss different representations of electronic states employed in the grid-based and direct NAMD simulations. The nature of interstate couplings in different representations is highlighted, with the main focus on nonadiabatic and spin-orbit couplings. Second, we describe three NAMD methods that have been used to simulate spin-crossover dynamics, including trajectory surface hopping, ab initio multiple spawning, and multiconfiguration time-dependent Hartree. Some aspects of employing different electronic structure methods to obtain information about potential energy surfaces and interstate couplings for NAMD simulations are also discussed. Third, representative applications of NAMD to spin crossovers in molecular systems of different sizes and complexities are highlighted. Finally, we pose several fundamental questions related to spin-dependent processes. These questions should be possible to address with future methodological developments in NAMD.
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Chen, X. B. "Modeling of Rotary Screw Fluid Dispensing Processes." Journal of Electronic Packaging 129, no. 2 (July 21, 2006): 172–78. http://dx.doi.org/10.1115/1.2721090.

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Fluid dispensing is a process widely used in electronics packaging manufacturing, by which fluid materials are delivered in a controlled manner for the purpose of bonding, sealing, coating, or conducting. Among various dispensing approaches, the use of a motor-driven screw is recognized as one of the most promising approaches due to its capacity of achieving high flow rates without the need of refilling. In a dispensing process, the flow rate of fluid dispensed is critical to control the volume or amount of fluid dispensed. This paper presents the development of a model for the rotary screw dispensing process. By using the power law equation, the flow behavior of the fluid being dispensed is characterized and then, based on the fundamentals of flow in screw channels and circular tubes, a model is developed to represent the flow rate in the rotary screw dispensing process. Experiments and simulations were carried out to verify the model effectiveness as well as to investigate the performance of the rotary screw dispensing process.
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Abyaneh, M. Y. "Modeling of Single Phase Electrocrystallization Processes." Journal of The Electrochemical Society 151, no. 11 (2004): C737. http://dx.doi.org/10.1149/1.1805520.

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Abyaneh, M. Y. "Modeling of Single Phase Electrocrystallization Processes." Journal of The Electrochemical Society 151, no. 11 (2004): C743. http://dx.doi.org/10.1149/1.1805521.

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