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Text Spotting in the Wild with Embedded Device

& correlation , ‘Journal of Machine Learning Technologies’, 2011, Vol. 2, Issue 1, pp. 37–63. [7] Ye Q., Doermann D., Text Detection and Recognition in Imagery: A Survey , IEEE, ‘Transactions on Pattern Analysis and Machine Intelligence’, 2015, Vol. 37, Issue 7, pp. 1480–1500, DOI: 10.1109/TPAMI.2014.2366765. [8] Yin X., Zuo Z., Tian S., Text Detection, Tracking and Recognition in Video: A Comprehensive Survey , IEEE, ‘Transaction on Image Processinges’, 2016, Vol. 25, Issue 6, pp. 2752–2773, DOI: 10.1109/TIP.2016.2554321. [9] Jetson TX products , [online

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A New Synchronization Method for Direct Sequence Spectrum Spread Based Systems

Abstract

For precise indoor localization accurate synchronization is necessary. In this paper we propose a new synchronization method for direct sequence spread spectrum modulation based systems, which enables a more accurate correlation peak detection. We provide comprehensive statistical analysis and numerical results for the decision error probability assuming both coherent and non-coherent receiving via an AWGN channel. The essence of the proposed method is the two overlapping correlators, which allows taking into account the statistically not independent noise components to reduce the error probability of the correlation peak detection.

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The Numerical Evaluation Errors of the Geometric Model of the Straight Teethed Shaper Cutter

Abstract

It is well known that straight teethed shaper cutters present a theoretical profile error. The side edges are situated on a common conical rack face with the result that they and their projection in the generating plane can’t be involute curves. The optimization of the cutter requires such a correlation of the edge defining parameters that the potential theoretical profile error is kept to the minimum possible. Thus the relevance of the edge equations is of great importance. This paper deals with the analysis of the edge equations, presenting two different forms of it. The comparison between the two different forms is realized by applying the numerical evaluation, by substitution of the edge point coordinates in the implicit equations of the originating surfaces. The obtained results present a difference of magnitude 10-E3. Finally, it can be concluded that the two forms of the edge equations cannot be used randomly but only in correlation with the goal proposed by the running application.

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Dynamic Models of a Home Refrigerator

tools applied to a domestic refrigerator. Journal of HVAC& R Research 3 (4), 387-403 (1997) [9]. Hermes, C.J.L., Melo, C.: A heat transfer correlation for natural draft wire-and-tube condensers. IIR Internationa Congress of Refrigeration, Beijing, China. [10]. Hermes, C.J.L., Melo, C., Goncalves, J.M.: A robust mod approach for refrigerant flow through capillary tubes. IIR Internationa Congress of Refrigeration, Beijing, China. [11]. Prata, A.T., Ferreira, R.T.S., Fagotti, F., Todescat, M.L.: Heat transfer in a

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Empirical Mode Decomposition in Discrete Time Signals Denoising

Goncalves P. (2003), On Empirical Mode Decomposition and its algorithms , IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP-03, Grado (I). [5] Rilling G., Flandrin P., Goncalves P. and Lilly. J. M., Bivariate Empirical Mode Decomposition , Signal Processing Letters (submitted). [6] Huang N. E. et al.(2003), A confidence limit for the Empirical Mode Decomposition and Hilbert spectral analysis , Proc. Royal Soc. London A, vol. 459, pp. 2317-2345. [7] Janosi, I. M., and R. Muller (2005), Empirical mode decomposition and correlation

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