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


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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