Series-1 (Sep. - Oct. 2020)Sep. - Oct. 2020 Issue Statistics
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| Paper Type | : | Research Paper |
| Title | : | Quadruple Memory cell design with Complete protection against SEU and DNU |
| Country | : | India |
| Authors | : | Gokul Somasundaram |
| : | 10.9790/4200-10050110 ![]() |
ABSTRACT: This paper presents novel quadruple cross-coupled memory cell designs, namely Proposed cell (BQCCM10T cell), with complete protection against single event upsets and double-node upsets. The proposed cell BQCCM10T consists of four cross-coupled input-split inverters and a buffer.Memory cell circuits are more sensitive to external radiation phenomena that are likely to cause the occurrence of soft errors SEU & DNU. Therefore, the tolerance of the circuit to the soft errors is a stern requirement in memory cell circuit designs. Since the traditional error-tolerant methods result in significant cost fines in terms of power, area, and performance, the development of low-cost hardened designs for storage cells(such as latches and memories)is of increasing importance. The Proposed cell achieves complete SEU and DNU tolerance through feedback and buffering mechanisms among its internal nodes.The proposed BQCCM10T cell has high robustness and high Read Access time and Write Access Time. With the help of T-Spice, simulation results of several SRAM cells and the BQCCM10T cell are compared.Hence the proposed cell BQCCM10T is used for highly terrestrial reliable low voltage applications..
Keywords: Single Event Upset, Double Node Upset, Memory Cell, Soft Error, Quadruple Cross coupled memory cell.
[1]. Aibin Yan, Jun Zhou, Yuanjie Hu, Jie Cui, Zhengfeng Huang, Patrick Girard, and Xiaoqing Wen, ―Novel Quadruple Cross-Coupled Memory Cell Designs with Protection against Single Event Upsets and Double-Node Upsets,‖ in IEEE Access 2017 Citation information: DOI 10.1109/ACCESS.2019.2958109.
[2]. Y. Shiyanovskii, A. Rajendran, and C. Papachristou, ―A Low Power Memory Cell Design for SEU Protection against Radiation Effects,‖ in Proc. Conf. Adaptive Hardware Syst., Erlangen, Germany, 2012, pp. 288-295.
[3]. D. Lin et al., ―A Novel Highly Reliable and Low-Power Radiation Hardened SRAM Bit-cell Design,‖ IEICE Electron. Express, vol. 15, no. 3, pp. 1-8, Feb. 2018, DOI: org/10.1587/elex.15.20171129.
[4]. C. Qi, L. Xiao, T. Wang, J. Li, and L. Li, ―A Highly Reliable Memory Cell Design Combined with Layout-Level Approach to Tolerant Single-Event Upsets,‖ IEEE Trans. Device Mater. Reliab., vol. 16, no. 3, pp. 388-395, Jul. 2016, DOI: 10.1109/TDMR.2016.2593590.
[5]. ] C. Hu, S. Yue, and S. Lu, ―Design of A Novel 12T Radiation Hardened Memory Cell Tolerant to Single Event Upsets (SEU),‖ in Proc. IEEE 2nd Int. Conf. Integr. Circuits Microsyst, Nanjing, China, Jan. 2017, pp. 182-185
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ABSTRACT: Today the synthetic speech of highest quality, generated by existing speech synthesis systems are not close to actual human speech. As the number of applications for synthetic speech increases, the naturalness and the intangibility of synthetic speech will become an important factor in determining its use. This paper presents a comparative study on investigating the naturalness and the intelligibility of the newly proposed Auto Regressive Moving Average (ARMA) based speech synthesis method for female voice. The synthesized speech was analyzed based on subjective and objective measure. The subjective measures, signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR) and.......
Keywords: Auto Regressive Moving Average (ARMA), Speech intelligibility; Naturalness; signal-to-noise ratio (SNR); peak signal-to-noise ratio (PSNR) and mean square error (MSE); Diagnostic Rhyme Test
[1]. Vaseghi, S., V., Multimedia Signal Processing: Theory and Applications in Speech, Music and communications. John Wiley and Sons Ltd, 2007.
[2]. Keller. E., Baily, G., Monaghan, A., Huckvale, M., Improvements in Speech synthesis, COST 258: The Naturalness of Synthetic Speech, John Wiley & Sons, LTD .
[3]. Taylor, P., Text to Speech Synthesis, Cambridge University Press, 2009.
[4]. C.V. Botinh˜ao, Intelligibility enhancement of synthetic speech in noise Doctor of Philosophy thesis, Institute for Language, Cognition and Computation School of Informatics University. of Edinburgh. 2013
[5]. Wang, M., Speech Analysis And Synthesis Based On ARMA Lattice Model, Master's Thesis, University of Windor, 2003
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ABSTRACT: In this paper, a new approach to assess the skew angle for scanned/printed documents and historical document images has been proposed. This is substantial for an automatic document processing system (as text and image segmentation) to avert errors in auxiliary stages. The proposed tactic is based on the statistical analysis of the slope of the connected lines in the document. The proposed technique detects skew and corrects it by initial letter (X1, Y1+200) from left margin of the resized (800X800) image and (X1+200, Y1) from top, (X1, Y1+200) from bottom margin. Final letter (X2, Y2-200) and (X2-200, Y2) were chosen from right and bottom margins of the same image. The skew angle estimation is done for standard skewed dataset and effective correction of the same is performed with minimum errors..
Keywords: Printed text, Multiple Skew, Skew Detection and Correction
[1]. DarkoBrodic, Carlos A B Mello : An Approach to Skew Detection of Printed Documents : Journal of Universal Computer Science Vol 20, no 4 (2014), pp 488-506
[2]. Babu, D R., Kumat. P M., : Skew angle estimation and correction of handwritten, textual and large areas of non-textual document images: A noval approach. International conference on image processing, computer vision and pattern recognition. pp 510-515, (2006)
[3]. N .Nandini, K. Srikanta Murthy, and G. Hemantha Kumar, "Estimation of skew Angle in binary document images using Hough transform," Journal of World Academy of Science, Engineering and Technology, vol. 32, pp. 50-55, August 2008.
[4]. A.Amin and S.Fischer, "A document skew detection method using the Hough transform," Pattern Analysis and Applications, vol. 3, pp.243-253, September 2000
[5]. KL Banumathi and AP Jagadeesh Chandra, "A new algorithm for Skew Detection and Correction of Historical Kannada Documents", International Conference on Multimedia Processing Communication and Information Technology MPCIT– 2018, 8th and 9th June, 2018
