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Laminated Glass UHF-RFID Antenna for Automotive Applications

, 2003. IEEE, Volume 1, pp. 848–851 [8] S. Basat, K. Lim, I. Kim, M. Tentzeris and J. Laskar, “Design and Development of a Miniaturized Embedded UHF RFID Tag for Automotive Tire Applications”, Electronic Components and Technology Conference 2005, Volume 1, p. 867.

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Survey of Collaborative Data Mining

R eferences [1] Appleman, Kenneth H., et al. “Collaborative internet data mining systems.” U.S. Patent No. 5,918,010. 9 Jun. 1999. [2] Blerina Lika, Kostas Kolomvatsos, Stathes Hadjiefthymiades, “Facing the cold start problem in recommender systems”, Expert Systems with Applications, volume 41, march 2014. [3] Brahima Sanou, “ITC Facts and Figures 2013”, Telecommunication Development Bureau, International Telecommunications Union (ITU), Geneva, February 2013. Retrieved 23 May 2015. [4] Chakrabarti, Soumen, et al. Data mining: know it all

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Development of Motion Detection Algorithms Based on Simultaneous Execution Using Mobile Phone Sensors

, S. A., “Activity Recognition using Cell Phone Accelerometers”, ACM SIGKDD Explorations Newsletter , Dec. 2010. [12] Dernbach, S., Das, B., Krishnan, N. C., “Simple and Complex Activity Recognition Through Smart Phones”, Presented at Intelligent Environments (IE), 2012 8th International Conference , Jun. 2012. [13] Yang, C.C., Hsu, Y.L., “Development of a wearable motion detector for telemonitoring and real-time identification of physical activity”, Telemed. J. E. Health , no. 15, 2009, pp. 62–72. [14] Karantonis, D.M., Narayanan, M.R., Mathie

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Ultrasound-Based Indoor Robot Localization Using Ambient Temperature Compensation

. T., Huang, J. D., and Young, M. S., “Envelope pulsed ultrasonic distance measurement system based upon amplitude modulation and phase modulation,” Review of Scientific Instruments , vol. 78, no. 6, 2007. [7] Vishay, “IR Reciever Modules for 3D Synchronization Signals”, TSOP35D25 . [8] Prowave, “Air Ultrasonic Ceramic Transducers”, 400ET080 . [9] Boyd, S., Vandenberghe, L., “Convex Optimization”, Cambridge university press. ISBN 978-0-521-83378-3. [10] Nagy, Cs., Biro, Z., Marton, L., “Development of an Ultrasound Based Tracking System

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Neural Network Estimation of Tourism Climatic Index (TCI) Based on Temperature-Humidity Index (THI)-Jordan Region Using Sensed Datasets

Frias and Sixto Herrera,”Reliability and usability of tourism climate indices” Earth Perspectives, 2016, Volume 3, Number 1, Page 1. [16] Bender, F. (Friedrich), Geology of Jordan.Berlin : Gebrüder Borntraeger, 1974, ISBN: 3443117074 9783443117078. [17] The World Bank Group, “Climate Change Knowledge Portal, For Development Practitioners and Policy Makers” [Online]. Available: http://sdwebx.worldbank.org/climateportal/index.cfm?page=country_historical_climate&ThisRegion=Asia&ThisCCode=JOR .[Accessed Sept. 12, 2018]. [18] Iowa State University of

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GNU Radio Based Testbed (GRaTe-BED) for Evaluating the Communication Link of Unmanned Aerial Systems

Abstract

UAS (Unmanned Aerial Systems) are commonly used in 3D (dull, dirty and dangerous) missions, because these are not endangering the operators life, while reduce maintenance costs and increase maneuvering capabilities. Despite of these advantages we should consider the possible vulnerabilities of this technology as well. Unmanned vehicles can be controlled via direct communication link, or they can work in a preprogrammed mode. Usually the preprogrammed mode is based on radio navigation systems, so we can draw a conclusion that both depend on the RF environment. In this paper I analyze a possibility to effectively evaluate the communication link of an UAS. Developers have to consider several key factors (type of operation, endurance, payload type and size, propulsion, communication link, etc.) during the development process. They are also responsible that the final product meets the predefined requirements. On the other side commercial UAS owners should have a possibility to compare and evaluate the UAS before the acquisition. Finally, operators and frequency management entities need tools to diagnose the possible sources of interference regarding the unmanned vehicles. To understand the consequences of interference in the RF spectrum we have to be able to measure the quality of the communication link in different usage scenarios. In my research I evaluate the usage of SDRs (Software Defined Radios) in RF Test and Evaluation processes. After analyzing the possibilities for a flexible testbed, I demonstrate the usability with some measurements in the GNU Radio signal processing framework.

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Multilevel Distributed Embedded System for Control of the DC Magnetron Sputtering Process

References [1] Westermo Handbook 5.0, “Industrial Data Communication – Theoretical and General Applications”, Westermo, Sweden, 2004. [2] Westermo Handbook 5.0, “Industrial Data Communication – Industrial Ethernet”, Westermo, Sweden, 2004. [3] Kugelstadt, T., “Protecting RS-485 Interfaces Against Lethal Electrical Transients”, in Application report, SLLA292A-May 2009-Revised March 2011 . [4] *** TCP/IP application note: Microchip TCP/IP Stack Help (version: 5.42.08 - 2013). [5] Fekete, A. Zs., Jakab-Farkas, L., “Development of an

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Evaluation of Different Thin-Client Based Virtual Classroom Architectures

development of a virtual machine room”, in Proc. of the Annual Scientific Conference of the Hungarian National Coordinating Center for Infocommunications ASCONIKK , Veszprém, Hungary , 2014. [8] Calyam P., Berryman A., Lai A.M., Honigford M., “VMLab: Infrastructure to Support Desktop Virtualization Experiments for Research and Education”, in VM-ware Technical Journal , 2012. [9] Berryman A., Calyam P., Honigford M., Lai A. M., “VDBench: A Benchmarking Toolkit for Thin-client based Virtual Desktop Environments”, in Proceedings of the 2 nd IEEE International

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Processing EEG signals acquired from a consumer grade BCI device

Intelligence and AI in Games, vol. 5, no. 2, pp. 100-110, June 2013. [16] C. Lin, C. Ding, C. Liu and Y. Liu, “Development of a real-time drowsiness warning system based on an embedded system,” 2015 International Conference on Advanced Robotics and Intelligent Systems (ARIS), Taipei, 2015, pp. 1-4. [17] C. A. Lim, Wai Chong Chia and Siew Wen Chin, “A mobile driver safety system: Analysis of single-channel EEG on drowsiness detection,” 2014 International Conference on Computational Science and Technology (ICCST), Kota Kinabalu, 2014, pp. 1-5 [18] J. He, D

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