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Professional and Habitual Three Dimensional model of Car with outline and Structural Stereotypes
V.Vidhya
Pages: 1-21 | First Published: 05 Mar 2022
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Abstract
While estimating the depth of object within each high quality tasks related to two dimensional and three dimensional conversions. This type of stereo conversion approach automatically estimates the two dimensional and three dimensional for corresponding the proposed depth that defines such dimensional models. Target object would be identical which provides deep view of the silhouette of object using strong depth. In a traditional model for three dimensional model generating the detailed knowledge of initial view of objects having structural design and matches the image position. It combines various sequences of images that have different views which vary with its perspective. It not only  eployed on images also with shadow of the car moving in front by comparing with the specified cars shadow and model. Applying different methods for generating the data utilizes  the high quality of different dimensional conversions.
Keywords: Depth Estimation, dimensional conversions, Contour Model and stereo  conversion.

[1] O. Wang, M. Lang, M. Frei, A. Hornung, A. Smolic, and M. Gross, “Stereobrush: Interactive 2d to 3d conversion using discontinuous warps,” in Proc. EUROGRAPHICS Symp. SketchBased Interfaces Model., 2011, pp. 45–74.
[2] M. Guttmann, L. Wolf, and D. Cohen-Or, “Semi-automatic stereo extraction from video footage,” in Proc. IEEE 12th Int. Conf. Comput. Vis., Oct. 2009, pp. 136–142.
[3] R. B. Ribera, S. Choi, Y. Kim, J. Lee, and J. Noh, “Video panorama for 2d to 3d conversion,” Comput. Graph. Forum, vol. 31, no. 7, pp. 2067–2076, 2012.
[4] B. Ward, S. B. Kang, and E. Bennett, “Depth director: A system for adding depth to movies,” IEEE Comput. Graph. Appl., vol. 31, no. 1, pp. 36–48, Jan./Feb. 2011.
[5] A. P. V. Pernis and M. S. DeJohn, “Dimensionalization: Converting 2d films to 3d,” in Proc. Stereoscopic Displays and Appl. XIX, vol. 6803, pp. 68 030T-68 030T-5.
[6] H. Hwang, K. Kim, R. B. i. Ribera, and J. Noh, “Stereoscopic image generation of background terrain scenes,” Comput. Animation Virtual Worlds, vol. 22, nos. 2-3, pp. 317–323, 2011.
[7] A. McKenzie, E. Vendrovsky, and J. Noh, “Terrain geometry from monocular image sequences.” J. Comput. Sci. Eng., vol. 2, no. 1, pp. 98–108, 2008.
[8] B. M. Oh, M. Chen, J. Dorsey, and F. Durand, “Image-based modeling and photo editing,” in Proc. 28th Annu. Conf. Computer Graphics and Interactive Techniques, ser. SIGGRAPH ’01, New York, NY, USA: ACM, 2001, pp. 433–442.
[9] V. Blanz and T. Vetter, “A morphable model for the synthesis of 3d faces,” in Proc. 26th Annu. Conf. Computer Graphics and Interactive Techniques, ser. SIGGRAPH ’99, ACM, 1999, pp. 187–194.
[10] M. Leotta and J. Mundy, “Predicting high resolution image edges with a generic, adaptive, 3-d vehicle model,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2009, pp. 1311– 1318.
[11] P. Guan, A. Weiss, A. O. Balan, and M. J. Black, “Estimating human shape and pose from a single image,” in Proc. Int. Conf. Comput. Vis., 2009, pp. 1381–1388.

Professional and Habitual Three Dimensional model of Car with outline and Structural Stereotypes
V.Vidhya,
Pages: 17-21 | First Published: 05 Mar 2022
Full text | Abstract | Purchase | References | Request permissions

Abstract
While estimating the depth of an object within each high-quality task related to two-dimensional and three-dimensional conversions. This type of stereo conversion approach automatically estimates the two-dimensional and three-dimensional for corresponding to the proposed depth that defines such dimensional models. The target object would be identical which provides a deep view of the silhouette of an object using strong depth. A traditional model for three-dimensional model generates detailed knowledge of the initial view of objects having structural design and matches the image position. It combines various sequences of images that have different views which vary with its perspective. It not only deployed on images but also with the shadow of the car moving in front by comparing with the specified car's shadow and model. Applying different methods for generating the data utilizes the high quality of different dimensional conversions.
Keywords: Depth Estimation, dimensional conversions, Contour Model, and stereo conversion.

References
[1] O. Wang, M. Lang, M. Frei, A. Hornung, A. Smolic, and M. Gross, “Stereobrush: Interactive 2d to 3d conversion using discontinuous warps,” in Proc. EUROGRAPHICS Symp. Sketch Based Interfaces Model., 2011, pp. 45–74.
[2] M. Guttmann, L. Wolf, and D. Cohen-Or, “Semi-automatic stereo extraction from video footage,” in Proc. IEEE 12th Int. Conf. Comput. Vis., Oct. 2009, pp. 136–142.
[3] R. B. Ribera, S. Choi, Y. Kim, J. Lee, and J. Noh, “Video panorama for 2d to 3d conversion,” Comput. Graph. Forum, vol. 31, no. 7, pp. 2067–2076, 2012.
[4] B. Ward, S. B. Kang, and E. Bennett, “Depth director: A system for adding depth to movies,” IEEE Comput. Graph. Appl., vol. 31, no. 1, pp. 36–48, Jan./Feb. 2011.
[5] A. P. V. Pernis and M. S. DeJohn, “Dimensionalization: Converting 2d films to 3d,” in Proc. Stereoscopic Displays and Appl. XIX, vol. 6803, pp. 68 030T-68 030T-5.
[6] H. Hwang, K. Kim, R. B. i. Ribera, and J. Noh, “Stereoscopic image generation of background terrain scenes,” Comput. Animation Virtual Worlds, vol. 22, nos. 2-3, pp. 317–323, 2011.
[7] A. McKenzie, E. Vendrovsky, and J. Noh, “Terrain geometry from monocular image sequences.” J. Comput. Sci. Eng., vol. 2, no. 1, pp. 98–108, 2008.
[8] B. M. Oh, M. Chen, J. Dorsey, and F. Durand, “Image-based modeling and photo editing,” in Proc. 28th Annu. Conf. Computer Graphics and Interactive Techniques, ser. SIGGRAPH ’01, New York, NY, USA: ACM, 2001, pp. 433–442.
[9] V. Blanz and T. Vetter, “A morphable model for the synthesis of 3d faces,” in Proc. 26th Annu. Conf. Computer Graphics and Interactive Techniques, ser. SIGGRAPH ’99, ACM, 1999, pp. 187–194.
[10] M. Leotta and J. Mundy, “Predicting high-resolution image edges with a generic, adaptive, 3-d vehicle model,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2009, pp. 1311–1318.
[11] P. Guan, A. Weiss, A. O. Balan, and M. J. Black, “Estimating human shape and pose from a single image,” in Proc. Int. Conf. Comput. Vis., 2009, pp. 1381–1388.

 

A Quazi Z Source Based Matrix Converter For Grid Connected Wind Energy Conversion Systems
Dr. S. P. Vijayaragavan,
Pages: 22-28 | First Published: 05 Mar 2022
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Abstract
In recent decades, Renewable energy has been playing a vital role due to its non-polluting nature, and being environmentally friendly. Especially, Wind Energy System has been providing gigantic power production in and around the world. In this proposed work, a Matrix converter is used between the synchronous generator and the power grid. This Converter helps to control the output voltage for variable wind speed without additional components. Also, this converter controls both the terminal voltage and frequency of the generator to run the turbine at maximum power. The Simulation results have validated the proposed system.
Keywords: Matrix Converter; Wind Energy Systems (WES); Grid; Permanent Magnet Synchronous Generator (PMSG).

References
1. Y. Amirat, M. E. H. Benbouzid, B. Bensaker, R. Wamkeue, H. Mangel, “The State of the Art of Generators for Wind Energy Conversion Systems,” Hal- 00527554, version 1, 19 Oct. 2010.
2. Yao Duan, Ronald G. Harley, “Present and Future Trends in Wind Turbine Generator Designs,” IEEE, 2009.
3. Alejandro Rolan, Alvaro Luna, Gerardo Vazquez, Daniel Alguilar, Gustavo Azevedo “Modeling of a Variable Speed Wind Trrbine with a Permanent Magnet Synchronous Generator,” IEEE InternationalSymposium on Industrial Electronics (ISIE), pp. 734-739, July, 2009.

4. R.T. Naayagi, A.J. Forsyth, R. Shuttleworth, “High-Power Bidirectional DC-DC Converter for Aerospace Applications,” IEEE Transactions onPower Electronics, vol. 27, no. 11, pp. 4366-4379, November 2012.
5. R.T. Naayagi, A.J. Forsyth, R. Shuttleworth, “Bidirectional Control of a Dual Active Bridge DC-DC Converter for Aerospace Applications,” IETPower Electronics, vol. 5, no. 7, pp. 1104-1118, August 2012.
6. R.T. Naayagi, S.K. Panda, “Fault-Tolerant Converter for Future Offshore Wind Farm
HVDC Networks,” Proceedings of 7th Innovative Smart grid technologies (ISGT Asia), December 4-7,
2017, Auckland, New Zealand.
7. He Liu, Mohamed Dahidah, R.T. Naayagi, Matthew Armstrong, James Yu, “A Novel Modular Multilevel Step-up DC/DC Converter for Offshore Systems”, Proceedings of 26th IEEE International Symposium on Industrial Electronics, pp. 576-581, 2017, Edinburgh, UK.
8. ThaiyalNaayagiRamasamy, Bidirectional DC-DC converter for aircraft Electric energy storage systems, ‟Ph.D. Thesis,
School Electr. Electron. Eng. Univ. Manchester, Manchester U.K., 2010.
9. HBR. T. Naayagi and A. J. Forsyth, Bidirectional DC-DC converter for aircraft electric energy storage systems,‟ in Proc. 5th IET PowerElectronics Machines and Drives Conf., 2010, pp. 1-- 6.
10. Djahbar A, Mazari B, Latroch M. Control strategy of three-phase matrix converter fed induction motor drive system. IEEE International Workshop on Intelligent Signal Processing; 2005.p.104–109.
11. 11J.W. Kolar, T. Friedli, F. Krismer, and S. D. Round, “The essence of three-phase AC/AC converter systems,” in Proceedings of the 13thInternational Power Electronics and Motion Control Conference (EPEPEMC’08), pp. 27–42, September 2008.
12. G. Pandu Ranga Reddy and M. Vijaya Kumar, Implementation of Matrix Converter-based PMSG for Wind Energy Conversion System, Proceedings of 7th International Conference on Intelligent Systems and Control, pp 115-120, 2013.
13. SP Vijayaragavan, B Karthik, TVU Kiran Kumar “A DFIG based wind generation system with unbalanced stator and grid condition” Middle-East Journal of Scientific Research - 2014
14. S. Sherine, S.P. Vijayaragavan “Performance Evaluation of VSI Based Active Filter and Passive Filters” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering- 2014
15. S Hemapriya, SP Vijayaragavan, B Karthik “ A NEW INTERLEAVED THREE LEVEL AC–DC CONVERTER” International Journal of Advanced Research in Computer Engineering International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) 2015.

Analysing the Privacy in Mobile Cloud Computing
D.Jeyapriya ,AP(CSE) ,
Pages: 30-32 | First Published: 05 Mar 2022
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Abstract
Mobile cloud computing goes past mobile device maltreatment in cloud settings in every mobile settlement in today's basic technology. Nevertheless, the smartphone has had intimate major technological advances in recent years at a time when it remains an occasional system material: Matrix Converter; Wind Energy Systems (WES); Grid; Permanent Magnet Synchronous Generator (PMSG).
Keywords: Remote cloud computing could be promising due to the limitations of mobile devices

References
[1] Jennifer Yick, Biswanath Mukherjee, DipakGhosal, “Wireless sensor network survey”, Computer Networks 52 (2008) 2292–2330.
[2] Saad, E.M., M.H. Awadalla, R.R. Darwish, “A Data Gathering Algorithm for a Mobile Sink in Large-Scale Sensor Networks”, The Fourth International Conference on. Wireless and MobileCommunications,2008.
[3] .F. Akyildiz, W. Su, Y. Sankara Subramaniam, E. Cayirci, “A survey on sensor networks”, IEEE Communications Magazine 40 (8) (2002)
[4] Bin, W., et al. “Employing Mobile Sink in Event-Driven Wireless Sensor Networks. in Vehicular Technology Conference