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Academic literature on the topic 'Basics of Electrical Engineering'

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Published: 6 September 2023

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Journal articles on the topic "Basics of Electrical Engineering"

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Pazilova, Shokhida A. "DEVELOPMENT OF BASICS OF ELECTRICAL ENGINEERING AND ELECTRONICS IN HIGHER MILITARY EDUCATION." CURRENT RESEARCH JOURNAL OF PEDAGOGICS 03, no. 04 (April 1, 2022): 48–51. http://dx.doi.org/10.37547/pedagogics-crjp-03-04-11.

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The article discusses an effective lesson, its conditions, and also discusses ways to improve the logical, creative, analytical, non-standard thinking of cadets using interactive methods using the example in fundamentals of electrical engineering and electronics.
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Schweitzer, G. "Mechatronics—Basics, Objectives, Examples." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 210, no. 1 (February 1996): 1–11. http://dx.doi.org/10.1243/pime_proc_1996_210_432_02.

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Mechatronics has developed world-wide into a very attractive research area. It combines in a synergetic way the classical engineering disciplines, mechanical and electrical engineering and computer science, leading to new kinds of products. How has this field emerged; in what way is it being developed in research and education; what are its objectives, its research challenges and new applications? The paper gives a survey and shows examples and typical applications.
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AFANASOV, A., D. LINIK, S. ARPUL, D. BELUKHIN, and V. VASYLYEV. "PROSPECTS OF USING AUTONOMOUS ELECTRIC TRAINS WITH ONBOARD STORAGE STORES." Transport systems and transportation technologies, no. 23 (July 28, 2022): 46. http://dx.doi.org/10.15802/tstt2022/261652.

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Purpose. Improving the efficiency of passenger traffic on non-electrified sections of the railway of Ukraine by optimizing the structure and creating principles for building a traction electric drive of a promising autonomous electric train powered by traction engines from the system of onboard storage of electricity. Methods. The methodological basis of the study are the general theoretical provisions and principles of the system approach of theoretical electrical engineering, theoretical mechanics, theory of electrical machines and converters. The basic principles of management theory and the basics of decision theory are used. Results. The general principles of construction of the traction electric drive of the perspective autonomous electric train with power supply of traction engines from onboard energy storage devices are formulated. The functional scheme of the traction electric drive of the perspective autonomous electric train is offered, the analysis of work of the electric drive in the modes of traction and regenerative braking is carried out. The mass parameters of two types of energy storage devices, namely electrochemical batteries and supercapacitors, have been determined. The basic requirements to the system of automatic control of the traction drive of the electric train are formulated. It is shown that in the future the use of autonomous battery electric trains will be technically possible and economically justified on non-electrified sections of Ukrzaliznytsia.
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Idowu, P., J. Atiyeh, E. Schmitt, and A. Morales. "A Matlab® Tool for Introducing Basics of Induction Motor Current Signature (IMCS) Analysis." International Journal of Electrical Engineering & Education 47, no. 1 (January 2010): 1–10. http://dx.doi.org/10.7227/ijeee.47.1.1.

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Induction machines are among the most widely used devices in industrial processes because they are robust and well suited for a wide range of applications. This critical role underscores the level of attention given to the early detection of potentially damaging faults. Given this important role, one would expect that undergraduate curricula in electrical engineering would devote some attention to the subject, but this is typically not the case. This paper presents an innovative way of presenting induction motor current signature (IMCS) analysis to undergraduate students within very limited time constraints. The signature analysis tool is developed in Matlab® and features two diagnostic methods. It offers electrical engineering undergraduates a very convenient environment in which to learn the basics of induction motor fault diagnosis.
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Morelato, A. "A computer tool for helping engineering students in their learning of electrical energy basics." IEEE Transactions on Education 44, no. 2 (May 2001): 3 pp. http://dx.doi.org/10.1109/13.925872.

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Sasaki, Minoru. "Basics of Resist Process." IEEJ Transactions on Sensors and Micromachines 131, no. 1 (2011): 2–7. http://dx.doi.org/10.1541/ieejsmas.131.2.

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Nogaku, Mitsuharu. "Instruction of Engineering Exercises in Information Processing Including Electric Engineering, Mathematics, Information Basics, and Experiments." IEEJ Transactions on Fundamentals and Materials 127, no. 2 (2007): 103–7. http://dx.doi.org/10.1541/ieejfms.127.103.

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Woods, B. J. "Book Review: Basic Electrical Engineering." International Journal of Electrical Engineering & Education 30, no. 1 (January 1993): 92. http://dx.doi.org/10.1177/002072099303000123.

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Bernátová, Renáta, Jaroslav Džmura, Jaroslav Petráš, Milan Bernát, Ľubomír Žáčok, and Jan Pavlovkin. "Creation of Didactic Tests for Teaching of the Thematic Unit – Basics of Electrical Power Engineering." International Review of Electrical Engineering (IREE) 13, no. 4 (August 31, 2018): 325. http://dx.doi.org/10.15866/iree.v13i4.14490.

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Shute, Simon A. "Basics of Communication and Coding." Electronics and Power 31, no. 10 (1985): 767. http://dx.doi.org/10.1049/ep.1985.0448.

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Dissertations / Theses on the topic "Basics of Electrical Engineering"

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Olshewsky, Avron Bernard. "The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions." Master's thesis, University of Cape Town, 1997. http://hdl.handle.net/11427/9472.

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Bibliography: leaves. 63-66.
Neural networks have been applied to a number of problems over the past few years. One of the emerging applications of neural networks is adaptive communication channel equalisation. This area of research has become prominent due to the reformulation of the equalisation problem as a classification problem. Viewing equalisation as a classification problem allows researchers to apply the knowledge gained from other fields to equalisation. A wide variety of neural network structures have been suggested to equalise communication channels. Each structure may in turn have a number of different possible algorithms to train the equaliser. A neural network is essentially a non-linear classifier; in general a neural network is able to classify data by employing a non-linear function. The primary subject of this dissertation is the comparative performance of neural networks employing non-localised basis (non-linear) functions (Multi-layer Perceptron) versus those employing localised basis functions (Radial Basis Function Network).
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LaMacchia, Brian A. (Brian Andrew). "Basis reduction algorithms and subset sum problems." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13277.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1991.
Includes bibliographical references (leaves 86-89).
by Brian A. LaMacchia.
M.S.
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Labrada, Carlos Ramón 1977. "Lightning/percipitation relationships on a global basis." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9467.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
Includes bibliographical references (p. 93-94).
Rainfall and lightning are measured and compared on a global basis using data gathered from the Tropical Rainfall Measuring Mission (TRMM) satellite, launched in November 1997. The satellite provides simultaneous lightning-precipitation measurements that allow for comprehensive relationships to be created for future rainfall monitoring utilizing unique electromagnetic methods. Precipitation and lightning comparisons using TPMM data showed that there is no unique relationship between lightning and near surface rainfall. No definite bimodality over land was found that indicated distinct regimes; however, maps of the mass of precipitation per flash showed a latitudinal dependence in both South America and Africa indicative of different regimes. Reflectivity-height distribution plots established reflectivity thresholds at 7 km and l O km where lightning over land completely dominates lightning over ocean. For reflectivity greater than 25 dBZ at 7 km altitude over land, there is 87% probability it will produce lightning. Ocean, on the other hand, requires higher than 35 dBZ at 7 km to generate lightning with a probability of 77%. Venn diagrams determined that lightning is not a good choice for measuring precipitation on a global scale when less than 6% of all precipitating clouds exhibit lightning. For precipitating clouds over land, lightning appears in 15% of the clouds at 2 km altitude. Lightning may be better suited for measuring rainfall over land. The mass of precipitation[kg] per lightning flash was found to be highly variable, with values ranging over four orders of magnitude. Correlation coefficients of scatter plots of mass of precipitation versus lightning rate confinned a non-unique relation between precipitation and lightning for rain measured near the surface (2km, 4 km), with numbers close to 0. The correlation coefficients increased to 0.5 for altitudes 7 km and above. The kg per flash values addressed the issue of an order of magnitude difference in lightning between continental and oceanic convection. This finding is consistent with the idea of mid-level updrafts being larger in continental than oceanic convective clouds.
by Carlos Ramón Labrada.
M.Eng.
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Gu, Huanhuan. "Computed basis functions for finite element analysis based on tomographic data." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=107699.

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This thesis proposes a novel way to find the electromagnetic fields when the computational domain is defined by a fine grid of pixels (2D) or voxels (3D). This happens quite often in bioelectromagnetic problems, since tissue shapes are usually obtained by tomography.The proposed method is a finite element method in which, in 3D, each element is simply a set of p × p × p voxels, where p is an integer. It therefore avoids the heavy burden of surface extraction and meshing. Since there may be multiple materials within one element, conventional basis functions are not suitable. Instead, basis functions are computed using the voxel grid, so that the internal discontinuities are respected.The idea is first tested on problems consisting of nested squares (2D) and cubes (3D) of dielectric, with a charge pair placed inside. The results obtained by using different element sizes p agree well with those obtained by commercial software: when p = 4, the root-mean-square (RMS) difference is 1.5 % of the maximum potential.Then the new method is applied to solve an electroencephalography (EEG) problem, in which the head is modelled as a volume conductor and neural activity by current dipoles. The head model consists of 180×217×181 voxels. The computed electric potential is sampled along a contour on the outer side of the scalp, for different element sizes p. These results, again, agree well with a reference solution: for p = 4, the RMS difference is about 1% of the maximum potential. Solving one FE problem with p = 4 is 4.7 times faster than when using each voxel as an element, i.e., p = 1. When the solution is required for multiple righthand sides, as is common, the speedup is greater. For example, with 24 righthand sides, the p = 4 solution is 40 times faster than when p = 1.
Cette thése propose une nouvelle technique pour trouver les champs électromagnétiques lorsque le domaine de calcul est défini par un dense quadrillage de pixels (2D) ou voxels (3D). Un scénario qui arrive souvent dans le domaine de bioelectromagnetic, puisque les géométries des tissus sont généralement obtenues par tomographie.La technique proposée dans cette thése est une méthode des éléments finis dans laquelle, chaque élément 3D est un ensemble de p × p × p voxels (p est un nombre entier). Par conséquent, cette technique évite la difficile tâche de l'extraction de surface et de maillage. Comme un élément peut être composé de différents matériaux, les fonctions de base classiques ne sont plus pertinentes. Ainsi, les fonctions de base sont calculées en utilisant les grilles de voxels, afin de respecter des discontinuités internes. L'idée est d'abord testée sur des problèmes comprenant des carrés imbriqués (2D) et des cubes (3D) de diélectrique, avec une paire de charge placée à l'intérieur. Les résultats obtenus en utilisant différentes tailles d'élément (p) sont en bon accord avec ceux obtenus par un logiciel commercial: pour p = 4, la différence quadratique moyenne (RMS) est 1,5% du potentiel maximum. Ensuite, la nouvelle méthode est appliquée pour résoudre un problème électroencéphalographie (EEG), dans lequel la tête est modélisée par un volume conducteur et l'activité neuronale par des dipôles. Le modèle de tête se compose de 180×217×181 voxels. Le potentiel électrique calculée est échantillonné sur un contour sur le côté extérieur du cuir chevelu, pour différentes tailles d'élément, p. Ces résultats sont toujours en bon accord avec une solution de référence: pour p = 4, la quadratique moyenne (RMS) est d'environ 1% du potentiel maximum. Résoudre un problème des éléments finis avec p = 4 est 4,7 fois plus rapide que le cas que chaque voxel est considéré comme un seul élément, c'est à dire, p = 1. Lorsque le résoudre pour plusieurs côtés droits est recherché, qui est vrais dans plupart des cas, l'accélération est plus grande. Par exemple, avec 24 côtés droits, la solution pour p = 4 est 40 fois plus rapide que le cas de p = 1.
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Biswas, Amartya Shankha. "Local-access generators for basic random graph models." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119600.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 61-64).
Consider a computation on a massive random graph: Does one need to generate the whole random graph up front, prior to performing the computation? Or, is it possible to provide an oracle to answer queries to the random graph "on-the-fly" in a much more efficient manner overall? That is, to provide a local access generator which incrementally constructs the random graph locally, at the queried portions, in a manner consistent with the random graph model and all previous choices. Local access generators can be useful when studying the local behavior of specific random graph models. Our goal is to design local access generators whose required resource overhead for answering each query is significantly more efficient than generating the whole random graph. Our results focus on undirected graphs with independent edge probabilities, that is, each edge is chosen as an independent Bernoulli random variable. We provide a general implementation for generators in this model. Then, we use this construction to obtain the first efficient local implementations for the Erdös-Rényi G(n, p) model, and the Stochastic Block model. As in previous local-access implementations for random graphs, we support VERTEX-PAIR, NEXT-NEIGHBOR queries, and ALL-NEIGHBORS queries. In addition, we introduce a new RANDOM-NEIGHBOR query. We also give the first local-access generation procedure for ALL-NEIGHBORS queries in the (sparse and directed) Kleinberg's Small-World model. Note that, in the sparse case, an ALL-NEIGHBORS query can be used to simulate the other types of queries efficiently. All of our generators require no pre-processing time, and answer each query using O(poly(log n)) time, random bits, and additional space.
by Amartya Shankha Biswas.
M. Eng.
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Mitsouras, Dimitrios 1976. "Near real-time 2D non-Fourier basis MRI." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86546.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 114-118).
by Dimitrios Mitsouras.
S.M.
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Oberoi, Pankaj. "Sine-wave amplitude coding using wavelet basis functions." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/38767.

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Varghese, Mathew 1973. "Reduced-order modeling of MEMS using modal basis functions." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8342.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2002.
Includes bibliographical references (p. 80-84).
The field of MEMS has matured significantly over the last two decades increasing in both complexity and level of integration. To keep up with the demands placed by these changes requires the development of computer-aided design and modeling tools (CAD/CAM) that enable designers to reduce the time and cost it takes to produce working prototypes. An ideal scenario is one in which a designer is able to quickly model and simulate an entire microsystem - sensors, actuators and electronics -- with the certainty that their results will match that of physical prototypes. This vision of design requires the existence of system level models of MEMS devices that can capture the complex non-linear coupling between multiple physical domains, yet be sufficiently fast and compact in form to insert into a system dynamics simulator. In this thesis I explore techniques of automatically constructing such models from meshed representations of device geometry. These dynamical models are known as "reduced-order" models or "macromodels." They are characterized by few degrees of freedom (DOF), and a small set of state equations. Our process for constructing macromodels is built upon two well-established methodologies - normal mode superposition and Lagrangian mechanics. This is referred to as the "CHURN process" and was originally developed by Gabbay et al. to create models of electromechanical devices with two electrodes under conditions satisfying linear mechanics.
(cont.) In this thesis I significantly extend this process to model multi-port magnetostatic devices, multi-port electrostatic devices, and geometrically non-linear mechanical devices exhibiting stress stiffening. I also address one of the key concerns in building macromodels -- the required degree of sophistication, and the extent of involvement, of a designer in the model construction process. I propose and implement several heuristic techniques that automate the model generation process. I also apply these techniques to a fabricated microelectromechanical high frequency filter and present verification of our modeling results.
by Matthew Varghese.
Ph.D.
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Joffe, Neil Raymond. "A study of multilevel partial response signalling for transmission in a basic supergroup bandwidth." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/8334.

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Includes bibliographical references.
The work in this thesis is primarily directed toward the design, construction and testing of an experimental multilevel partial response signalling baseband system. The system will find practical application in existing frequency division multiplexed-frequency modulated microwave links. The basic supergroup bandwidth of these links is 240 kHz. The design requires a transmission rate of 1.024 Mb/s in this bandwidth. Class-4 15 partial response signalling is the coding technique suitable to achieve this. A pilot tone scheme is used to facilitate symbol timing recovery at the demodulator. A sixth order Butterworth low pass filter approximates the ideal raised-cosine Nyquist channel. A theoretical discussion on impairments caused by deviation from this channel is given. Since the experimental system was non-ideal, it produced a degradation in the channel signal to noise ratio. This degradation, coupled with other factors, showed that further development was necessary for the system to be suitable for connection into an existing microwave link.
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Hutchinson, James M. "A radial basis function approach to financial time series analysis." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12216.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
Includes bibliographical references (p. 153-159).
by James M. Hutchinson.
Ph.D.
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Books on the topic "Basics of Electrical Engineering"

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Marchenko, Aleksey, and Yu Babichev. Electrical engineering. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1587594.

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The textbook discusses the analysis and calculation of electrical and magnetic circuits, studied the purpose, design and functioning of electromagnetic devices, transformers and electrical machines. A separate chapter is devoted to the basics of electric drives — in particular, the choice of electric motor power for drives with different operating modes and their verification by heating and overload capacity. The systematic presentation of the material of module 1 "Electrical Engineering" meets the requirements for the results of mastering the basic discipline "Electrical Engineering and Electronics", which is part of the professional cycle of disciplines of the main educational programs of the federal state educational standards of higher education for bachelors of non-electrical engineering and engineers of non-electrical engineering specialties. For students of higher educational institutions studying in non-electrotechnical areas of bachelor's and graduate training.
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Hazelton, Ron. Home basics. Cincinnati, Ohio: Betterway Home, 2009.

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Hazelton, Ron. Home basics. Cincinnati, Ohio: Betterway Home, 2009.

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Basic electrical engineering. 4th ed. New Delhi: New Age International, 2007.

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Smith, Ian Mackenzie. Basic electrical engineering science. Harlow: ELBS with Longman, 1991.

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Jens, Hamann, Wiegärtner Georg, and Siemens Aktiengesellschaft, eds. Electrical feed drives in automation: Basics, computation, dimensioning. Erlangen: Publicis MCD Corporate Pub., 2001.

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B, Sheblé Gerald, IEEE Power Engineering Society. Power Engineering Education Committee., and IEEE Power System Engineering Committee., eds. Reactive power: Basics, problems, and solutions. New York, NY (345 E. 47th St., New York 10017-2394): Institute of Electrical and Electronics Engineers, 1987.

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W, Whitehead R., Bolton W. 1933-, and Bell E. C, eds. Basic electrical and electronic engineering. 4th ed. Oxford: Blackwell Scientific Publications, 1993.

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Kalechman, Misza. Practical MATLAB basics for engineers. Boca Raton: CRC Press, 2007.

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Özhan, Orhan. Basic Transforms for Electrical Engineering. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98846-3.

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Book chapters on the topic "Basics of Electrical Engineering"

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Rauf, S. Bobby. "Electrical Engineering Basics." In Electrical Engineering for Non-Electrical Engineers, 1–48. 2nd ed. Second edition. | Lilburn, GA : The Fairmont Press, Inc., [2016]: River Publishers, 2021. http://dx.doi.org/10.1201/9781003152033-1.

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Rauf, S. Bobby. "Electrical Engineering Basics and Direct Current." In Electrical Engineering for Non-Electrical Engineers, 1–50. 3rd ed. New York: River Publishers, 2021. http://dx.doi.org/10.1201/9781003207276-1.

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Berns, Karsten, Alexander Köpper, and Bernd Schürmann. "Electrotechnical Basics." In Lecture Notes in Electrical Engineering, 9–18. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65157-2_2.

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Beutler, Roland. "Frequency Planning Basics." In Lecture Notes in Electrical Engineering, 1–58. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09635-3_5.

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Beutler, Roland. "Network Planning Basics." In Lecture Notes in Electrical Engineering, 1–32. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09635-3_6.

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Bhooshan, Sunil. "Digital Communication Basics." In Lecture Notes in Electrical Engineering, 337–54. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4277-7_7.

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Breda, Dimitri, Stefano Maset, and Rossana Vermiglio. "Notation and Basics." In SpringerBriefs in Electrical and Computer Engineering, 17–21. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2107-2_2.

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Hekal, Sherif, Ahmed Allam, Adel B. Abdel-Rahman, and Ramesh K. Pokharel. "Basics of Wireless Power Transfer." In Energy Systems in Electrical Engineering, 9–31. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8047-1_2.

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Litovski, Vančo. "1.10 Basics of Semiconductor Technology." In Lecture Notes in Electrical Engineering, 277–331. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9868-3_10.

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Nair, Raveendranath U., Maumita Dutta, Mohammed Yazeen P.S., and K. S. Venu. "Basics of Material Characterization." In SpringerBriefs in Electrical and Computer Engineering, 3–4. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6517-0_2.

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Conference papers on the topic "Basics of Electrical Engineering"

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Wilson, B. L. "Understanding the Basics of Electrical Submersible Pump Performance." In International Meeting on Petroleum Engineering. Society of Petroleum Engineers, 1986. http://dx.doi.org/10.2118/14050-ms.

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Fuhrmann, Thomas, and Michael Niemetz. "Transdisciplinary Bachelor Course Connecting Business and Electrical Engineering." In Fourth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/head18.2018.8056.

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The OTH Regensburg has a broad variety of study programs in technical, business, social and health sciences. Up to now there is no integral connection in the bachelor curricula between business and technical faculties except for some small subjects. The scope of this project is to develop a new course specialization which connects engineering and business thinking. Electrical engineering students should learn basics of business science and how managers think. Business students should vice versa learn fundamentals of engineering and how engineers solve problems. Students from both faculties work together in projects where they act like start-up companies developing a new product and bringing it into the market. It is seen a transdisciplinary effect: These projects gain innovative results between the disciplines compared to student projects of one isolated discipline. Evaluation results from the first two cohorts indicate high student satisfaction, high learning success as well as directions for further improvement.
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Young, Bryan, Andrew Wodehouse, and Marion Sheridan. "Getting Back To Basics: Bimanual Interaction on Mobile Touch Screen Devices." In The 2nd World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2016. http://dx.doi.org/10.11159/mhci16.103.

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Burlacu, Sorin, Sorin Dan Grigorescu, Catalin Stefan, and Claudia Popescu. "Basics of design and testing of a digital content generator tool for e-learning." In 2013 8th International Symposium on Advanced Topics in Electrical Engineering (ATEE). IEEE, 2013. http://dx.doi.org/10.1109/atee.2013.6563360.

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Terauds, Maris, and Tatjana Solovjova. "An attractive way to teach programming basics based on a graphical display module." In 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE, 2019. http://dx.doi.org/10.1109/rtucon48111.2019.8982290.

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Weaver, Jonathan M., and Darrell K. Kleinke. "A Flipped Classroom Approach to Conveying the Basics of Systems Thinking to Engineering Undergraduates." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66069.

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Engineering students spend the majority of their academic careers learning tools to enable tasks related to detailed design. For example, a mechanical engineer may learn to size a heat exchanger so that an engine would not overheat, an electrical engineer may learn to specify gains in a control system to provide desired performance, and a civil engineer may learn to size columns to avoid buckling. While these analytical capabilities are essential to the execution of engineered systems, there are tools and perspectives related to systems and their design that are historically absent in an undergraduate engineering education. Through the Kern Entrepreneurship Education Network (KEEN) and the University of New Haven, the authors have developed a flipped classroom module that provides a basis in systems thinking as related to the conception and execution of complex engineered systems. The module could be useful in several areas of the curriculum, but is primarily intended to develop perspectives and skills necessary to ensure a successful capstone design experience. The module is broken into five lessons: (1) Foundational Concepts, (2) Key Systems Principles, (3) Architecture Development, (4) Multiple Views of a System, and (5) System Verification and Validation. Lesson 1 begins with the importance of the problem statement, and then proceeds to introduce form and function, function mapping, and many key definitions (system, interface, architecture, systems engineering, and complexity). Lesson 2 introduces key systems principles, including systems thinking, systems of systems, and system decomposition. Lesson 3 overviews the systems architecting process and summarizes the four most typical methods used to develop a system architecture. Lesson 4 discusses viewing a system from six different perspectives. Lesson 5 presents the systems engineering V model, requirements cascading, and verification and validation. The module includes several interactive activities and built in knowledge checkpoints. There is also a final challenge wherein the students must apply what they’ve learned about systems thinking and systems engineering to a hypothetical problem. This paper will further describe the module content and format. The paper will also make the case that the content included in the module is essential to an efficient, effective, and rewarding capstone design experience. This is achieved by summarizing common pitfalls that occur in a capstone design project and how good systems thinking can avert them. The pitfalls covered include failure to fully understand all key stakeholders’ most important needs, failure to understand desired system function in a solution-neutral way and failure to follow a robust process to map function to form, poor choice of how to decompose the system into subsystems, errors/inefficiencies in interface definition and management, and poor (if any) planning for design verification and validation.
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Solymosi, Mate, and Zsolt Juras. "Review the basics of nuclear security in case of nuclear power plants, through a hypotethical scenario." In 2022 IEEE 5th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE). IEEE, 2022. http://dx.doi.org/10.1109/cando-epe57516.2022.10046358.

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Lehtovuori, A., M. Honkala, H. Kettunen, and J. Leppavirta. "Interactive engagement methods in teaching electrical engineering basic courses." In 2013 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2013. http://dx.doi.org/10.1109/educon.2013.6530089.

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Lukmanov, V. S., E. V. Parfenov, A. V. Gusarov, and I. R. Engalytchev. "Education Quality Control in Theoretical Basis of Electrical Engineering." In 2005 International Conference Modern Technique and Technologies (MTT 2005). IEEE, 2005. http://dx.doi.org/10.1109/spcmtt.2005.4493251.

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Rashid, Asif, Muhammad P. Jahan, Asma Perveen, and Jianfeng Ma. "Development of Trends and Methodologies for Shaping Ceramics by Electrical Discharge Machining: A Review." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10946.

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Abstract Ceramic materials possess excellent properties like high hardness, superior corrosion resistance and great resistance to wear. These materials are low in density and demonstrate high strength to wear ratio. There is an increasing need to machine these hard and brittle materials as they have various engineering applications. The distinguishing properties of ceramics do not allow them to be machined by conventional processes. Electrical discharge machining (EDM) is a non-conventional process and a viable option to machine and generate complex shapes in hard materials. EDM can be used on materials irrespective of its hardness and wear resistance as it is a non-contact machining process and no active force is applied between the workpiece and electrode during machining. As EDM requires the workpiece to be electrically conductive, machining ceramics by this process is a challenge. Alterations need to be carried out in order for insulating ceramics to be machined by this process. This paper discusses the basics of EDM process and its control parameters. A classification of ceramic materials based on their electrical conductivity is established and their relevance to the respective material removal mechanisms have been identified. Different approaches to successfully machine ceramics by EDM have been reviewed. The challenges and modifications of each method have been discussed. An outline and expectations for machining a particular ceramic material and its composites have been generated. Finally, the prospects of future research in this area have been identified.
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Reports on the topic "Basics of Electrical Engineering"

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Sherwood, John. Maintenance Engineering Basics & Best Practices. Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1784681.

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Gonzalez, J. A. Electronics and Electrical Engineering Laboratory:. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4803.

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Gonzales, J. A. Electronics and Electrical Engineering Laboratory:. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4850.

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Gonzalez, J. A. Electronics and Electrical Engineering Laboratory:. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4929.

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Rohrbaugh, J. M. Electronics and Electrical Engineering Laboratory:. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5607.

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Rohrbaugh, J. M. Electronics and Electrical Engineering Laboratory:. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5608.

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Rohrbaugh, J. M. Electronics and Electrical Engineering Laboratory:. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5669.

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Rohrbaugh, J. M. Electronics and Electrical Engineering Laboratory:. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5709.

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Rohrbaugh, J. M. Electronics and Electrical Engineering Laboratory:. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5773.

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Rohrbaugh, J. M. Electronics and Electrical Engineering Laboratory:. Gaithersburg, MD: National Institute of Standards and Technology, 1996. http://dx.doi.org/10.6028/nist.ir.5774.

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