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New Approaches in the Consumer - Supplier Relationship Regarding Malfunctions in the Electroenergetic Systems and from the Perspective of the IoT Development

Application Guide, Voltage Dips - Introduction” , Copper Development Association, March 2001, [7] SR EN 61000-6-2:2003 “Electromagnetic Compatibility - Generic Standards. Immunity for Industrial Environments (Compatibilitate electromagnetică (CEM). Partea 6-2: Standarde generice. Imunitate pentru mediile industriale)” [8] SR EN 61000-6-1:2003 “Electromagnetic Compatibility - Generic Standards. Immunity in residential, commercial and light industrial areas. (Compatibilitate electromagnetică (CEM

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Failure Mode and Effect Analysis in Automotive Industry: A Case Study

5. REFERENCES [1] Failure Mode and Effect Analysis, FMEA Handbook (with Robustness Linkages) , FMEA Handbook Version 4.2, December 2011. [2] R.E., McDermott, R.J., Mikulak, M.B., Beauregard, The Basics of FMEA , 2nd Edition, 2009, CRC Press. [3] . [4] D. Catic, S. Arsovski, B. Jeremic, J. Glisovic, FMEA in product development phase , 5th International Quality Conference, May 20th 201, p. 679-686. [5] IEC 61508 Standard, . [6] An introduction to Functional Safety and IEC

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Design of Security System Based on Raspberry-PI

5. REFERENCES [1] S. Sheshai, “Raspberry-Pi based security system”, Graduation Project, University of Nairobi, Kenya, 2016. [2] S. Mane, “Raspberry-Pi based security system on IoT platform”, International Conference on Recent Trends in Engineering Science and Technology, Vol.5 Issue 1, PP.17-20, 2017. [3] P. Ukey, “Development of smart home security system using Raspberry-Pi”, International Research Journal of Engineering and Technology, Vol.4, Issue 6, PP.1925-1928, 2017. [4] D. Aishwarya, “Enhanced home security using IOT and Raspberry

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An Autonomous Mobile Robot Controlled by a Motherboard of an Android Smartphone

., Chandra N., Development of Affordable and Powerful Swarm Mobile Robot Based on Smartphone Android and IOIO board, 2nd International Conference on Computer Science and Computational Intelligence 2017, ICCSCI 2017, 13-14 October 2017, Bali, Indonesia, In: Procedia Computer Science 116 (2017), pp. 342–350. [4] Küçükkülahlı E., Güler R., Open Source Mobile Robot with Raspberry Pi, BALKAN JOURNAL OF ELECTRICAL & COMPUTER ENGINEERING, ISSN: 2147-284X, Special Issue 2015, Vol.3, No.4, DOI: 10.17694/bajece.29976. [5] Nagymáté G., Android based autonomous mobile

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Fault Location in Distribution Network Based on Phasor Measurement Units (PMU)

5. REFERENCES [1] Saha, M.M., Izykowski, J.J. and Rosolowski, E., 2009. Fault location on power networks . Springer Science & Business Media. [2] Parmar, S., 2015. Fault Location Algorithms for Electrical Power Transmission Lines. [3] Takagi, T., Yamakoshi, Y.A.M.A.U.R.A., Yamaura, M., Kondow, R. and Matsushima, T., 1982. Development of a new type fault locator using the one-terminal voltage and current data. IEEE Transactions on Power apparatus and systems , (8), pp.2892-2898. [4] Djuric, M.B., Radojevic, Z.M. and Terzija, V.V., 1998

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Assessment and Testing of WPT System for the Design of Modern Wireless Energy Transmission Solutions

.; Gunji, D.; Imura, T.; Fujimoto, H. Development of wireless in-wheel motor using magnetic resonance coupling. IEEE Trans. Power Electron. 2016, 31, 5270–5278. [8] M.F. Stan, N. Fidel, I. Ilea, I. Mina, „System design for wireless power transfer in order to integrate in buildings”, Scientific Bulletin of the Electrical Engineering Faculty – Year 15, No. 3 (31), ISSN 1843-6188, 2015. [9] K. Nagatani, S. Kiribayashi, Y. Okada, K. Otake, K. Yoshida, S. Tadokoro, T. Nishimura, T. Yoshida, E. Koyanagi, M. Fukushima, and S. Kawatsuma, “Emergency response to the

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The optimisation of underwater exploration strategies which are to be implemented for process development purposes

R eferences 1. Olejnik A., Szymański R.: Methodology of selection of underwater search strategies implemented for the purpose of process development depending on the place and conditions of search; Polish Hyperbaric Research ISSN 1734-709; e-ISSN 2084-0535; Vol. 52 Issue 3 pp. 29-34 DOI: 10.1515/phr-2015-0014; 2. Lachowicz T.: Optimalisation of multi-criteria decisions with regard to safety; Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu w Katowicach ISSN 2083-8611; No. 235 (2015) pp. 144 – 158; 3. Połóński M.: Multi-criteria analysis – an

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Possibilities in the application of machine learning on bioimpedance time-series

at different rates and overlap at different time durations of biological processes, making the ability to discern the state of the tissue dependent on memory and the historical development of the parameters. For example, during ischemia, there are a series of factors that individually contribute to either decreasing or increasing impedance at a frequency range. The sum of these effects typically results in a time development of electrical parameters during ischemia where there is in an early increase in impedance, before the impedance starts to decrease well

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Spatial resolution in electrical impedance tomography: A topical review

, would provide a unique solution for the problem of impedance imaging [ 11 ]. Since the development of the first EIT systems, more than three decades ago, researchers have tried their ways to improve the quality of the reconstructed image with regards to the spatial resolution of the final images. Both hardware improvements and software developments have been considered by researchers to improve the quality of reconstructed EIT images as discussed below. Factors limiting resolution Hardware The resolution of the reconstructed images largely depends on the EIT

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