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A Machine Learning Approach for the Segmentation of Driving Maneuvers and its Application in Autonomous Parking

References [1] K. Min, J. Choi, H. Kim, and H. Myung, Design and implementation of path generation algorithm for controlling autonomous driving and parking, in 12th International Conference on Control, Automation and Systems (ICCAS), Jeju Island, Korea, 2012, pp. 956-959 [2] I. E. Paromtchik and C. Laugier, Autonomous parallel parking of a nonholonomic vehicle, in Proc. of the IEEE Intelligent Vehicles Symposium, Tokyo, Japan, 1996, pp. 13-18 [3] J. Z. Kolter, C. Plagemann, D. T. Jackson, A. Y. Ng, and S. Thrun

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Methods of Experimental Investigation of Cavitation in a Convergent - Divergent Nozzle of Rectangular Cross Section

), 639-643. [10] Olšiak, R., Knížat, B., Mlkvik, M. (2012). Visualization of cavitating micro jets. EPJ Web of Conferences , 25, 01062. [11] Kirschner, O. (2005). Vortex rope measurement in a pump-turbine with a straight cone draft tube. In Workshop on Turbomachinery Hydromechanics , Timisoara, Romania, Vol. 23. [12] Amirante, R., Distaso, E., Tamburrano, P. (2014). Experimental and numerical analysis of cavitation in hydraulic proportional directional valves. Energy Conversion and Management , 87, 208-219. [13] Jančula, D., Mikula, P

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RFID Tag as a Sensor - A Review on the Innovative Designs and Applications

., Meng, Z. (2016). A review of the radio frequency non-destructive testing for carbon-fibre composites. Measurement Science Review, 16 (2), 68-76. [13] Nguyen, D., Phan, G., Pham, T., Le, N. (2013). A battery free RFID sensor for quality detection of food products. In Progress in Electromagnetics Research Symposium Proceedings. PIERS, 583-587. [14] Potyrailo, R.A., Nagraj, N., Tang, Z., Mondello, F.J., Surman, C., Morris, W. (2012). Battery-free radio frequency identification (RFID) sensors for food quality and safety. Journal of

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On Size-Biased Negative Binomial Distribution and its Use in Zero-Truncated Cases

-431. Lepage, Y. (1978). Negative factorial moments of positive random variables. Industrial Mathematics , 28, 95-100. Cressie, N., Davids, A.S., Folks, J.L., Policello, G.E. (1981). The moment generating function and negative integer moments. American Statistician , 35 (3), 148-150. Cressie, N., Borkent, M. (1986). The moment generating function has its moments. Journal of Statistical Planning and Inference , 13, 337-344. Jones, M.C. (1986). Inverse moments of negative binomial. Journal of

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An FPGA Architecture for Extracting Real-Time Zernike Coefficients from Measured Phase Gradients

References [1] Huang, D., Swanson, E. A., Lin, C. P., Schuman, J. S., Stinson, W. G., Chang, W., Hee, M. R., Flotte, T., Gregory, K., Puliafito, C. A., Fujimoto, J. G. (1991). Optical coherence tomography. Science, 254, 1178-1181. [2] Podoleanu, A. (2005). Optical coherence tomography. British journal of radiology, 78 (935), 976-988. [3] Li, J., Sarunic, M., Shannon, L. (2011). Scalable, high performance Fourier domain optical coherence tomography: Why FPGAs and not GPGPUs. In IEEE 19th Annual International

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Capacities and Limitations of Wind Tunnel Physical Experiments on Motion and Dispersion of Different Density Gas Pollutants

. Applied spectroscopy, 63 (4), 430-436. [6] Zavila, O., Herecová, L., Míček, D., Hejzlar, T. (2011). Numerical simulation of heavy and light pollutants motion as a tool of experimental data verification. Communications, 13 (2), 37-43. [7] Čarnogurská, M., Přihoda, M. (2011). Application of Three-Dimensional Analysis for Modelling Phenomena in the field of Power Engineering. Kosice, Slovak Republic: Technical University of Kosice. (in Slovak) [8] Incropera, F.P., Dewitt, D.P., Bergman, T.L., Lavine, A.S. (2007). Fundamentals

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Development of a Device to Measure Mass and Resuspension Rate of Dust inside Confined Environments

Administration (OSHA). (2014). Hazard alert: Combustible dust explosion. OSHA Fact Sheet, DSG 12, 1-2. [12] Abuwser, M., Amyotte, P., Khan, F., Morrison, L. (2013). An optimal level of dust explosion risk management: Framework and application. Journal of Loss Prevention in the Process Industries, 26 (6), 1530-1541. [13] Eckhoff, R.K. (1996). Prevention and Mitigation of dust explosions in the process industries: A survey of recent research and development. Journal of Loss Prevention in the Process Industries, 9 (1), 3-20. [14

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Statistical Analysis of Spectral Properties and Prosodic Parameters of Emotional Speech

-152. Přibil, J., Přibilová, A. (2006). Voicing transition frequency determination for harmonic speech model. In Proceedings of the 13 th International Conference on Systems, Signals and Image Processing , 25-28. Scherer, K.R. (2003). Vocal communication of emotion: a review of research paradigms. Speech Communication , 40, 227-256. Iida, A., et al. (2003). A corpus-based speech synthesis system with emotion. Speech Communication , 40, 161-187. Oppenheim, A.V., Schafer, R.W. (1989). Digital

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Experimental Study on EHD Flow Transition in a Small Scale Wire-plate ESP

-plate ESP. Journal of Electrostatics , 68 (6), 513-522. [13] Kawakami, H. et al. (2013). Per formance characteristics between horizontally and vertically oriented electrodes EHD ESP for collection of low-resistive diesel particulates. Journal of Electrostatics , 71 (6), 1117-1123. [14] Li, Y. et al. (2015). CFD simulation of high-temperature effect on EHD characteristics in a wire-plate electrostatic precipitator. Chinese Journal of Chemical Engineering , 23 (4), 633-640. [15] Raffel, M., Willert, C.E., Wereley, S., Kompenhans, J. (2007). Particle

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Adapting Differential Evolution Algorithms For Continuous Optimization Via Greedy Adjustment Of Control Parameters

step size, Applied Intelligence, vol. 13, pp. 187-204, 2000. [4] D. Molina, M. Lozano, A. M. Sanchez, and F. Herrera, Memetic algorithms based on local search chains for large scale continuous optimization problems: Ma-ssw-chains, Soft Computing, vol. 15, pp. 2201-2220, 2011. [5] R. Storn and K. Price, Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, vol. 11, no. 4, pp. 341 - 359, 1997. [6] J. Kenedy and R. C. Eberhart, Particle

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