Journal Vol – 14 No -5, October 2019

Abstract:

The wealth of organizations is being determined by the amount of quality data they possess. Organizations across the globe have recognised this phenomenon. With abundance of data along with advanced analytic tools and technologies, many organizations have embraced business analytics into their essential strategic and operational decision-making tools. Heart of business analytics is the data. The quality and value of decision-making outcomes lie with the data inputs supplied. Big data and social media analytics have given impetus to the expansion of business analytics into all critical functional areas of the organization. Though a little late, the domain of HR has also caught up the trend of applying analytics. This new area is termed as people analytics or HR analytics. In this paper, an attempt is made to understand the extent of data availability and usage in analytics, termed as data sophistication in HR analytics in the organizations. As there are no definite ways to determine the data sophistication levels, a response sheet with a set of 20 items is developed based on previous literature. Data is collected from HR professionals. This data is subjected to exploratory factor analysis to capture the important dimensions from the items. Using structural equation modelling, confirmatory factor analysis was carried out to assess the model fit. Based on the resultant model, data is subjected to ridit analysis to interpret the treatment effect intuitively. The findings of the study add to the field of study in the area of data analytics, HR analytics, and decision-making domains. New approaches and study opportunities in related areas can be explored in this area due to its fast-emerging nature.

Keywords:

Data analytics,Data sophistication,HR analytics,ridit analysis,

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Abstract:

Intelligent systems based on mathematical theories have proved to be efficient in diagnosing various diseases. In this paper we used an expert system based on “soft set theory” and “fuzzy set theory” named as soft expert system to diagnose tropical disease dengue. This study discuss the role of “Soft set theory” as system which worked on the basis of knowledge in medical field. Study used “soft expert system” to predict the risk level or chances of a patient causing dengue fever by using input variables like age, TLC, SGOT, platelets count and blood pressure. The proposed method explicitly demonstrates the exact percentage of the risk level of dengue fever automatically circumventing for all possible (medical) imprecisions.

Keywords:

dengue fever,soft set theory,fuzzy set theory,intelligent systems,

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Abstract:

Digital watermarking is an innovation for the hiding a secret information into an object. It can be utilized ascopyright protection and secure concern for multimedia and digital information. This article presents a new video watermarking using redundant discrete wavelet transform (RDWT) in singular value decomposition (SVD) domain. Further, it is also computed several image quality metrics lie peak signal-tonoise ratio (PSNR), structural similarity (SSIM) index and root mean square error (RMSE) to disclose the imperceptibility and robustness of proposed watermarking approach compared to conventional approaches. Extensive simulation results show that the proposed algorithm have performed superior to the conventional water marking algorithms.

Keywords:

Digital Watermarking,discrete wavelet transform,singular value decomposition,redundant discrete wavelet and image quality metrics,

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Abstract:

Diabetes detection has become an important task for medical practitioners in India and abroad. Researchers and scientists have been working on this problem actively. Machine learning has been contributing majorly to systems, techniques and solutions for diabetes detection problem. Yet there are challenges which remain to be addressed. Recently convolution based machine learning techniques have evolved to give efficient results in various domains. They have shown applicability over range of problems. So here recent architectures of Convolution based machine learning models like Convolutional Neural Networks (CNN) and Capsule Networks (CapsNet) are discussed. Also, application of these recent models is presented here. Additionally, challenges faced by current Diabetes detection systems are discussed. Along with these challenges CapsNet architecture for text analytics is presented. This CapsNet architecture is closest to Diabetes detection problem in terms of structure and arrangement of data to be handled. Thus in future this architecture and its variants can be applied for Diabetes detection.

Keywords:

Diabetes detection,Convolutional Neural Networks,CNN,Capsule Networks,CapsNet,

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Abstract:

Mobile ad-hoc network is a most significant job in military applications since it is explicitly planned system for on demand requirement and in circumstances where set up of physical system is beyond the realm of imagination. This special kind of network which takes control in infrastructure less correspondence handles genuine difficulties carefully, for example, exceedingly hearty and dynamic military work stations, devices and littler sub-arranges in the front line. In this manner, there is an intense interest of planning productive directing conventions guaranteeing security and unwavering quality for fruitful transmission of exceedingly touchy and secret military data in guard systems. With this target, a power effective system layer directing convention in the system for military application is structured and mimicked utilizing another cross layer approach of configuration to expand unwavering quality and system lifetime up to a more prominent degree. But here PDO-AODV approach not supports to optimal path selection. So we propose a new ACO-DAEE (Ant colony optimization with delay aware energy efficient) for optimal path selection and mitigating the delay time in network system. The main goal is to maintain the optimal routes in network, during data transmission in an efficient manner. Our simulation results indicate that ACO-ADEE performs extremely well in terms of packet delivery ratio, end to end delay, and throughput. Simulation results through NS2 software to verify the effectiveness of our method.

Keywords:

Mobile ad-hoc network,ACO-DAEE,optimal path selection,NS2 software,

Refference:

I. Agbaria, A.; Gershinsky, G.; Naaman N. & Shagin,K. Extrapolationbased
and QoS-aware real-timecommunication in wireless mobile ad hoc
networks. Inthe 8th IFIP Annual Mediterranean Adhoc
NetworkingWorkshop, Med-Hoc-Net 2009. pp.21-26.doi:
10.1109/MEDHOCNET.2009.5205201
II. Ahmed, M.; Elmoniem, Abd; Ibrahim, Hosny M.;Mohamed, Marghny
H. &Hedar, Abdel Rahman. Antcolony and load balancing optimizations
for AODVrouting protocol. Int. J. Sensor Networks Data
Commun.,2012, 1.doi: doi:10.4303/ijsndc/X110203.
III. Amulya Boyina, K. Praveen Kumar “Active Coplanar Wave guide Fed
Switchable Multimode Antenna Design and Analysis” Journal Of
Mechanics Of Continua And Mathematical Sciences (JMCMS), Vol.-14,
No.-4, July-August (2019) pp 188-196.
IV. B. Venkateswar Rao, Praveen Kumar Kancherla, Sunita Panda
“Multiband slotted Elliptical printed Antenna Design and Analysis”
Journal Of Mechanics Of Continua And Mathematical Sciences
(JMCMS), Vol.-14, No.-4, July-August (2019) pp 378-386.

V. K.Praveen Kumar, “Active Switchable Band-Notched UWB Patch
Antenna”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
VI. K.Praveen Kumar, “Circularly Polarization of Edge-Fed Square Patch
Antenna using Truncated Technique for WLAN Applications”,
International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
VII. K.Praveen Kumar, “Design of 3D EBG for L band Applications” IEEE
International conference on communication technology ICCT-April-
2015. Noor Ul Islam University Tamilnadu.
VIII. K.Praveen Kumar, Dr. Habibulla Khan ” Active progressive stacked
electromagnetic band gap structure (APSEBG) structure design for low
profile steerable antenna applications” International Conference on
Contemporary engineering and technology 2018 (ICCET-2018) March
10 – 11, 2018. Prince Shri Venkateshwara Padmavathy Engineering
College, Chennai.
IX. K.Praveen Kumar, Dr. Habibulla Khan “Active PSEBG structure design
for low profile steerable antenna applications” Journal of advanced
research in dynamical and control systems, Vol-10, Special issue-03,
2018.
X. K.Praveen Kumar, Dr. Habibulla Khan, “Design and characterization of
Optimized stacked electromagnetic band gap ground plane for low
profile patch antennas” International journal of pure and applied
mathematics, Vol 118, No. 20, 2018, 4765-4776.
XI. K.Praveen Kumar, Dr. Habibulla Khan “Optimization of EBG structures
for Mutual coupling reduction in antenna arrays; A comparative study”
International Conference on Contemporary engineering and technology
2018 (ICCET-2018) March 10 – 11, 2018. Prince Shri Venkateshwara
Padmavathy Engineering College, Chennai
XII. K.Praveen Kumar, Dr. Habibulla Khan “Optimization of EBG structure
for mutual coupling reduction in antenna arrays; a comparitive study”
International Journal of engineering and technology, Vol-7, No-3.6,
Special issue-06, 2018.
XIII. K.Praveen Kumar, Dr Habibulla Khan ” Surface wave suppression band,
In phase reflection band and High Impedance region of 3DEBG
Characterization” International journal of applied engineering research
(IJAER), Vol 10, No 11, 2015.
XIV. K.Praveen Kumar, Dr Habibulla Khan ” The surface properties of
TMMD-HIS material; a measurement” IEEE International conferance on
electrical, electronics, signals, communication & optimization EESCO –
January 2015

XV. K.Praveen Kumar, “Effect of 2DEBG structure on Monopole Antenna
Radiation and Analysis of It’s characteristics” IEEE International
conference on communication technology ICCT-April-2015. Noor Ul
Islam University Tamilnadu.
XVI. K.Praveen Kumar, Kumaraswamy Gajula “Fractal Array antenna Design
for C-Band Applications”, International Journal of Innovative
Technology and Exploring Engineering (IJITEE), Volume-8 Issue-8
June, 2019.
XVII. K.Praveen Kumar, “Mutual Coupling Reduction between antenna
elements using 3DEBG” IEEE International conference on
communication technology ICCT-April-2015. Noor Ul Islam University
Tamilnadu.
XVIII. K.Praveen Kumar, “The surface properties of TMMD-HIS material; A
measurement” IEEE International conference on communication
technology ICCT-April-2015. Noor Ul Islam University Tamilnadu.
XIX. K.Praveen Kumar, “Triple Band Edge Feed Patch Antenna; Design and
Analysis”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
XX. K Satish Reddy a, K Praveen Kumar, Habibulla Khan, Harswaroop
Vaish “Measuring the surface properties of a Novel 3-D Artificial
Magnetic Material” 2nd International Conference on Nanomaterials and
Technologies (CNT 2014), Elsevier Procedia material Science.
XXI. Kumaraswami Gajula, Amulya Boyina, K. Praveen Kumar “Active Quad
band Antenna Design for Wireless Medical and Satellite Communication
Applications” Journal Of Mechanics Of Continua And Mathematical
Sciences (JMCMS), Vol.-14, No.-4, July-August (2019) pp 239-252.
XXII. Mamata Rath, Binod Kumar Pattanayak and Bidudhendu Pati, – Energy
efficient MANET Protocol using Cross Layer Design for Military
Applications -, vol.66, no.2, March 2016, pp.146-150.
XXIII. Mamata Rath, Binod Kumar, Pattanayak and Bibudhendu Pati, – Energy
efficient MANET Protocol Using Cross Layer Design for Military
Applications -, Vol.66.2, March 2016, pp.146-150,
DOI:10.14429/dsj.66.9705.
XXIV. Siva, K. & P. Duraiswamy, K. A QoS routing protocol formobile ad hoc
networks based on the load distribution. Inthe IEEE International
Conference on ComputationalIntelligence and Computing Research
(ICCIC), 2010,pp.1-6.doi: 10.1109/ICCIC.2010.5705724.
XXV. Srivastava, S.; Daniel, A.K.; Singh, R. & Saini, J.P.
Energyefficientposition based routing protocol for mobile ad
hocNetworks. In the IEEE International Conference on
RadarCommunication and Computing (ICRCC), 2012, pp.18-23.doi:
10.1109/ICRCC.2012.6450540.

 

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Abstract:

The Synthetic Aperture Radar (SAR) usually corrupted by some surplus speckle formed. These speckles having multiplicative noise, which appears likes a grainy pattern in the SAR image. This performs an accurate interpretation of SAR images. The aim of this work was to remove the noise and the accurate classifying the LULC facts with quality evolution with statistical operations. The SAR images to play an import key role on Earth Observation applications using high resolution for allweather conditions and all times. These Radar satellite collecting images have noise. To despeckle the noise, we propose the NEST Tool. Using this tool we (statistical operations) subtract band wise noisily one. The experiment results are better performance from the state of art techniques.

Keywords:

Despeckle learning,SAR,radar,noise,nest tool,

Refference:

I. C.A. Deledalle, L. Denis, and F. Tupin, “How to compare noisy
patches? patch similarity beyond gaussian noise,” International Journal
of Computer Vision, vol. 99, pp. 86–102, 2012.

II. C.A. Deledalle, L. Denis, and F. Tupin, “Iterative weighted maximum
likelihood denoising with probabilistic patch-based weights,” IEEE
Trans. on Image Process., vol. 18, no. 12, pp. 2661–2672, 2009.
III. C.A. Deledalle, L. Denis, M. Jager, A. Reigber, and F. Tupin, ¨ “NLSAR:
A unified nonlocal framework for resolution preserving
(Pol)(In)SAR denoising,” IEEE Trans. Geosci. Remote Sens., vol. 53,
no. 4, pp. 2021–2038, 2015.
IV. C.V. Angelino S. Parrilli, M. Poderico, and L. Verdoliva, “A nonlocal
SAR image denoising algorithm based on LLMMSE wavelet shrinkage,”
IEEE Trans. Geosci. Remote Sens., vol. 50, no. 2, pp. 606–616, Feb.
2012.
V. D. Cozzolino, S. Parrilli, G. Poggi, , G. Scarpa and L. Verdoliva, “Fast
adaptive nonlocal SAR despeckling,” IEEE Geoscience and Remote
Sensing Letters, vol. 11, no. 2, pp. 524– 528, 2014.
VI. D.P. Kingma and J. Ba, “Adam: A method for stochastic optimization,”
in International Conf. on Learning Representations (ICLR), 2015.
VII. F. Argenti, L. Alparone, T. Bianchi and A. Lapini, “A tutorial on speckle
reduction in synthetic aperture radar images,” IEEE Geosci. Remote
Sens. Mag., vol. 1, pp. 6–35, 2013.
VIII. G. Chierchia, D. Cozzolino, and G.Poggi, “SAR image despeckling
through convolutional neural networks,” IEEE Geosci. Remote Sens.,
vol. 1, pp.5438–5441, 2017.
IX. H.C. Burger, S. Harmeling, and C.J. Schuler, “Image denoising: Can
plain neural networks compete with BM3D?” in IEEE CVPR, 2012, pp.
2392–2399.
X. https://earth.esa.int/documents/507513/1077939/nest
XI. Jain and S. Seung, “Natural image denoising with convolutional
networks,” in Advances in Neural Information Processing Systems,
2009, pp. 769–776.
XII. K. He, S. Ren X. Zhang, and J. Sun, “Deep Residual Learning for Image
Recognition,” in IEEE CVPR, 2016, pp. 770–778.
XIII. K.Praveen Kumar, “Active Switchable Band-Notched UWB Patch
Antenna”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
XIV. K.Praveen Kumar, “Circularly Polarization of Edge-Fed Square Patch
Antenna using Truncated Technique for WLAN Applications”,
International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019.

XV. K.Praveen Kumar, Dr. Habibulla Khan “Active PSEBG structure design
for low profile steerable antenna applications” Journal of advanced
research in dynamical and control systems, Vol-10, Special issue-03,
2018.
XVI. K.Praveen Kumar, Dr. Habibulla Khan “Optimization of EBG structure
for mutual coupling reduction in antenna arrays; a comparitive study”
International Journal of engineering and technology, Vol-7, No-3.6,
Special issue-06, 2018.
XVII. K.Praveen Kumar, Dr Habibulla Khan ” Surface wave suppression band,
In phase reflection band and High Impedance region of 3DEBG
Characterization” International journal of applied engineering research
(IJAER), Vol 10, No 11, 2015.
XVIII. K.Praveen Kumar, “Triple Band Edge Feed Patch Antenna; Design and
Analysis”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
XIX. L. Alparone, F. Argenti, and T. Bianchi, “Segmentation-Based MAP
Despeckling of SAR Images in the Undecimated Wavelet Domain,”
IEEE Trans. Geosci. Remote Sens., vol. 46, no. 9, pp. 2728–2742, 2008.
XX. S. Foucher, “SAR image filtering via learned dictionaries and sparse
representations,” in IEEE IGARSS, 2008, pp. 229–232.
XXI. S. Ioffe and C. Szegedy, “Batch Normalization: Accelerating Deep
Network Training by Reducing Internal Covariate Shift,”
arXiv:1502.03167 v3, 2015.
XXII. Y. Chen, D. Meng K. Zhang, L. Zhang, and W. Zuo, “Beyond a
Gaussian Denoiser: Residual Learning of Deep CNN for Image
Denoising,” arXiv:1608.03981v1, 2016.

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Abstract:

The design of layout and source VLSI by way of low design rules is a difficult assignment before fabricating required device. A RF integrated circuit contains extensive applications is Ring Oscillator (RO). Current article focus a novel method of design, where a ring oscillator (RO) is simulated with Layout versus Source(LVS) report for physical verification using mentor graphics with Pyxis schematic, ELDOsimulation, EzWaves, Pyxis Layout and Calibre tools. Here RO circuit is designed with inverters of 5 stages operating at 9 GHz with the boundaries obligatory by gdk Generic 13 library. Simulated results, schematic, layout with LVS reports are presented here to verify design of RO with Mentor graphics EDA back end tool in efficient manner compared to Cadence.

Keywords:

Layout Vs Schematic (LVS),Inverter,Oscillator,Mentor Graphics,

Refference:

I. A. HAJIMIRI, S. LIMOTYRAKIS, T. LEE,‟Jitter and Phase Noise in
Ring Oscillators”, IEEE Journal of Solid State Circuits, vol.34, 6,
(1999), 790-804.
II. Asad A. Abidi, “Phase Noise and Jitter in CMOS Ring Oscillators,”
IEEE Journal Of Solid-State Circuits, Vol. 41, No. 8, August 2006.
III. G. JOVANOVI´C , M. STOJˇCEV, “A Method for Improvement
Stability of a CMOS Voltage Controlled Ring Oscillators”, ICEST 2007,
Proceedings of Papers, vol. 2, pp. 715-718, Ohrid, Jun 2007.

IV. MATSUDA, T. et al.‟ A combined test structure with ring oscillator and
inverter chain for evaluating optimum high-speed/low-power operation”.
In proceeding of International Conference on Microelectronic Test
Structures, 2003.
IV. M K Mandal and B C Sarkar,“Ring oscillators: Characteristics and
applications”, Indian journal of pure and applied physics, vol 48, pp 136-
145, 2010.
V. P. M. Farahabadi, H. Miar-Naimi and A. Ebrahimzadeh, “A New
Solution to Analysis of CMOS Ring Oscillators” Iranian Journal of
Electrical & Electronic Engineering, Vol. 5, No. 1, March 2009.
VI. Prakash Kumar Rout, Debiprasad Priyabrata Acharya, “Design of
CMOS Ring Oscillator Using CMODE” National Institute of
Technology, Rourkela, Orissa, India ,pp.1-6,2011.
VII. S. DOCKING, AND M. SACHDEV, ‟An Analytical Equation for the
Oscillation Frequency of High-Frequency Ring Oscillators”, IEEE
Journal of Solid State Circuits, vol.39, 3, (2004), 533-537.
VIII. S. Docking, M. Sachdev, ‟A Method to Derive an Equation for the
Oscillation Frequency of a Ring Oscillator”, IEEE Trans. on Circuits and
Systems – I: Fundamental Theory and Applications, vol. 50, 2,(2003),
259-264.
IX. SEGURA, J., HAWKINS, C.F. ‟CMOS electronics, how it works, how it
fails (ch. 4)”. Book IEEE edition, ISBN 0- 471-47669-2, 2004.
X. Sushil Kumar and Dr. Gurjit Kaur, “Design and performance analysis of
nine stages cmos based ring oscillator” International Journal Of VLSI
Design & Communication Systems (VLSICS),Vol.3, No.3, June 2012.
XII. Vandna Sikarwar,Neha Yadav, Shyam Akashe, ‟Design and analysis of
CMOS ring oscillator using 45nm technology”, 2013 3rd IEEE
International Advance Computing Conference (IACC).

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Abstract:

Beam forming can be achieved by combining elements in an array in way that certain angles get constructive interference and some destructive interference, which can be utilized for both transmitter and receiver ends so that they can achieve spatial selectivity. Combination of antenna and digital technology as Digital Beam Forming (DBF) which was developed by workers in sonar and Radar systems which was enhanced by development of aperture synthesis methods leading to modern dipolar arrays improvement. Converting RF signals into cos and sin signals representing amplitude and phase values which are combined to get desired output this is done by converting analog signal into digital. Antenna is considered as a device which converts spatio signals into strictly temporal signals which makes it helpful for various signal processing techniques.

Keywords:

Beam Forming (DBF),Radar systems,signal processing techniques,

Refference:

I. Amulya Boyina, K. Praveen Kumar “Active Coplanar Wave guide Fed
Switchable Multimode Antenna Design and Analysis” Journal Of
Mechanics Of Continua And Mathematical Sciences (JMCMS), Vol.-
14, No.-4, July-August (2019) pp 188-196
II. B. Venkateswar Rao, Praveen Kumar Kancherla, Sunita Panda
“Multiband slotted Elliptical printed Antenna Design and Analysis”
Journal Of Mechanics Of Continua And Mathematical Sciences
(JMCMS), Vol.-14, No.-4, July-August (2019) pp 378-386
III. Chou, H.T., Chang, C.H., Chen, Y.T.: Ferrite circulator integrated
phased array antenna module for dual-link beamforming at millimeter
frequencies. IEEE Trans. Antennas Propag. 10, 1–9 (2018)

IV. H. Shokri-Ghadikolaei, F. Boccardi, C. Fischione, G. Fodor, and M.
Zorzi, “Spectrum sharing in mmwave cellular networks via cell
association, coordination, and beamforming,” IEEE Journal on
Selected Areas in Communications, vol. 34, no. 11, pp. 2902–2917,
2016
IV. J. Bechter, K. Eid, F. Roos, and C. Waldschmidt, “Digital
beamforming to mitigate automotive radar interference,” in Proc. IEEE
MTT-S Int. Conf. Microw. Intell. Mobility, May 2016, pp. 1–4.
V. Kim, K.H. Kim, H., Kim, D.Y., Kim, S.K., Chun, S.H., Park, S.J.,
Jang, S.M., Chong, M.K. Jin, H.S.: Development of planar active
phased array antenna for detecting and tracking radar. In: Proceedings
of IEEE Radar Conference (RadarConf’18), Oklahoma City, April 23–
27, pp. 0100–0103, 2018.
VI. K.Praveen Kumar, “Active Switchable Band-Notched UWB Patch
Antenna”, International Journal of Innovative Technology and
Exploring Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
VII. K.Praveen Kumar, “Circularly Polarization of Edge-Fed Square Patch
Antenna using Truncated Technique for WLAN Applications”,
International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
IX. K.Praveen Kumar, “Design of 3D EBG for L band Applications”
IEEE International conference on communication technology ICCTApril-
2015. Noor Ul Islam University Tamilnadu.
X. K.Praveen Kumar, Dr. Habibulla Khan ” Active progressive stacked
electromagnetic band gap structure (APSEBG) structure design for low
profile steerable antenna applications” International Conference on
Contemporary engineering and technology 2018 (ICCET-2018) March
10 – 11, 2018. Prince Shri Venkateshwara Padmavathy Engineering
College, Chennai.
XI. K.Praveen Kumar, Dr. Habibulla Khan “Active PSEBG structure
design for low profile steerable antenna applications” Journal of
advanced research in dynamical and control systems, Vol-10, Special
issue-03, 2018.
XII. K.Praveen Kumar, Dr. Habibulla Khan, “Design and characterization
of Optimized stacked electromagnetic band gap ground plane for low
profile patch antennas” International journal of pure and applied
mathematics, Vol 118, No. 20, 2018, 4765-4776.
XIII. K.Praveen Kumar, Dr. Habibulla Khan “Optimization of EBG
structures for Mutual coupling reduction in antenna arrays; A
comparative study” International Conference on Contemporary
engineering and technology 2018 (ICCET-2018) March 10 – 11, 2018.
Prince Shri Venkateshwara Padmavathy Engineering College, Chennai.

XIV. K.Praveen Kumar, Dr. Habibulla Khan “Optimization of EBG structure
for mutual coupling reduction in antenna arrays; a comparitive study”
International Journal of engineering and technology, Vol-7, No-3.6,
Special issue-06, 2018.
XV. K.Praveen Kumar, Dr Habibulla Khan ” Surface wave suppression
band, In phase reflection band and High Impedance region of 3DEBG
Characterization” International journal of applied engineering research
(IJAER), Vol 10, No 11, 2015.
XVI. K.Praveen Kumar, Dr Habibulla Khan ” The surface properties of
TMMD-HIS material; a measurement” IEEE International conferance
on electrical, electronics, signals, communication & optimization
EESCO – January 2015.
XVII. K.Praveen Kumar, “Effect of 2DEBG structure on Monopole Antenna
Radiation and Analysis of It’s characteristics” IEEE International
conference on communication technology ICCT-April-2015. Noor Ul
Islam University Tamilnadu.
XVIII. K.Praveen Kumar, Kumaraswamy Gajula “Fractal Array antenna
Design for C-Band Applications”, International Journal of Innovative
Technology and Exploring Engineering (IJITEE), Volume-8 Issue-8
June, 2019.
XIX. K.Praveen Kumar, “Mutual Coupling Reduction between antenna
elements using 3DEBG” IEEE International conference on
communication technology ICCT-April-2015. Noor Ul Islam
University Tamilnadu.
XX. K.Praveen Kumar, “The surface properties of TMMD-HIS material; A
measurement” IEEE International conference on communication
technology ICCT-April-2015. Noor Ul Islam University Tamilnadu.
XXI. K.Praveen Kumar, “Triple Band Edge Feed Patch Antenna; Design and
Analysis”, International Journal of Innovative Technology and
Exploring Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
XXII. K Satish Reddy a, K Praveen Kumar, Habibulla Khan, Harswaroop
Vaish “Measuring the surface properties of a Novel 3-D Artificial
Magnetic Material” 2nd International Conference on Nanomaterials
and Technologies (CNT 2014), Elsevier Procedia material Science.
XXIII. Kumaraswami Gajula, Amulya Boyina, K. Praveen Kumar “Active
Quad band Antenna Design for Wireless Medical and Satellite
Communication Applications” Journal Of Mechanics Of Continua And
Mathematical Sciences (JMCMS), Vol.-14, No.-4, July-August (2019)
pp 239-252.

XXIV. M. A. Vazquez, L. Blanco, and A. I. P ´ erez-Neira, “Hybrid analog–
digital ´ transmit beamforming for spectrum sharing backhaul
networks,” IEEE transactions on signal processing, vol. 66, no. 9, p.
2273, 2018.
XXV. M. Rameez, M. Dahl, and M. I. Pettersson, “Adaptive digital
beamforming for interference suppression in automotive FMCW
radars,” in Proc. IEEE Radar Conf., Apr. 2018, pp. 252–256.
XXVI. P. Kumari, M. E. Eltayeb, R. W. Heath, “Sparsity-aware adaptive
beamforming design for IEEE 802.11ad-based joint communicationradar”,
Accepted to IEEE Radar Conference (RdarConf), pp. 4281-
4285, March 2018.
XXVII. W. Zhang and Z. S. He, “Comments on ‘Waveform optimization for
transmit beamforming with MIMO radar antenna array,”’ IEEE Trans.
Antennas Propag., vol. 66, no. 9, Sep. 2016.

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Abstract:

In this article the design of Photo-voltaic (PV) based ZETA converter has been presented to drive the Switched Reluctance Motor (SRM) for the agricultural based applications to pump the water. PV panels are the major power resource to supply a water pump driven by 8/6 SRM motor. A Perturbation & Observation (P & O) based maximum power point tracking (MPPT) scheme is adopted to improve the performance of PV system. A dc-dc ZETA is connected in between PV and SRM drive to provide steady and continuous supply to the SRM for efficient operation of the system. The variable DC-link capacitor voltage of the ZETA converter controls the speed of SRM drive from various environmental conditions and irradiation levels of solar PV array. ZETA converter has the added advantage over other types of buckboost converters is that, it does not require added circuitry for inrush current problem and overload protection is also not required. To reduce the stresses on the converter elements, the two inductors are chosen to operate in continuous current conduction mode (CCM). A four-phase 8/6 SRM drive is developed in the MATLAB/SIMULINK environment to demonstrate the effectiveness of specified system.

Keywords:

Solar PV system,MPPT,ZETA converter,SRM drive,agricultural applications,Perturbation and Observation (P&O),

Refference:

I. B. Singh, A. K. Mishra, and R. Kumar, “Solar powered water pumping
system employing switched reluctance motor drive,” IEEE Trans. Ind.
Appl., vol. 52, pp. 3949-3957, Sep./Oct 2016.
II. B. Singh and G. D. Chaturvedi, “Analysis, design and development of a
single switch fly-back Buck-Boost AC-DC converter for low power battery
charging applications,” Journal of Power Electronics, Vol. 7, No. 4, pp. 318-
327, Oct. 2007.
III. D.C. Martins, “Zeta Converter Operating in Continuous Conduction Mode
Using the Unity Power Factor Technique”, in Proc. IEE PEVSD’96, 1996,
pp.7-11.
IV. Falin, J. Designing DC/DC converters based on ZETA topology. Analog
Appl. J. Texas Instruments Incorporated, 2Q. Texas, USA. 2010, 16–21.
V. K.Praveen Kumar, “Active Switchable Band-Notched UWB Patch
Antenna”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
VI. K.Praveen Kumar, “Circularly Polarization of Edge-Fed Square Patch
Antenna using Truncated Technique for WLAN Applications”, International
Journal of Innovative Technology and Exploring Engineering (IJITEE),
Volume-8 Issue-8 June, 2019.
VII. K.Praveen Kumar, Dr. Habibulla Khan “Active PSEBG structure design for
low profile steerable antenna applications” Journal of advanced research in
dynamical and control systems, Vol-10, Special issue-03, 2018.
VIII. K.Praveen Kumar, Dr. Habibulla Khan “Optimization of EBG structure for
mutual coupling reduction in antenna arrays; a comparitive study”
International Journal of engineering and technology, Vol-7, No-3.6, Special
issue-06, 2018.

IX. K.Praveen Kumar, Dr Habibulla Khan ” Surface wave suppression band, In
phase reflection band and High Impedance region of 3DEBG
Characterization” International journal of applied engineering research
(IJAER), Vol 10, No 11, 2015.
X. K.Praveen Kumar, “Triple Band Edge Feed Patch Antenna; Design and
Analysis”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019.
XI. Krishnan, Ramu. Switched reluctance motor drives: modeling, simulation,
analysis, design, and applications. CRC press, 2001.
XII. Kumar, Rajan, and Bhim Singh, “BLDC motor-driven solar PV array-fed
water pumping system employing zeta converter”, IEEE Transactions on
Industry Applications, vol. 52, no. 3, (2016), pp. 2315-2322.
XIII. Mahmoud, Samia M., et al.”Studying different types of power converters
fed switched reluctance motor.” International Journal of Electronics and
Electrical Engineering 1.4, pp. 281-290, 2013.
XIV. Miller, Timothy John Eastham, ed. et al.” Electronic control of switched
reluctance machines”. Newnes, 2001.
XV. Mishra A. K, & Singh B, “Solar photovoltaic array dependent dual output
converter based water pumping using Switched Reluctance Motor drive”,
IEEE Transactions on Industry Applications, 53(6), 5615-5623, 2017.
XVI. Nabil Farah, M.H.N. Talib, Jurifa Lazi, Majed Abo Ali, Z. Ibrahim,
“Multilevel Inverter Fed Switched Reluctance Motors (SRMs) 6/4, 8/6 and
10/8 SRM Geometric Types”, International Journal of Power Electronics
and Drive System (IJPEDS) Vol. 8, No. 2, June 2017, pp. 584~592 ISSN:
2088-8694, DOI: 10.11591/ijpeds.v8i2.pp584-592.
XVII. Nagi Reddy. B, A. Pandian, O. Chandra Sekhar, M. Rammoorty, “Design of
Non-isolated integrated type AC-DC converter with extended voltage gain
and high power factor for Class-C&D applications”. International Journal of
Recent Technology and Engineering (IJRTE), Vol. 7, No. 5, Jan 2019, pp
230-236.
XVIII. Nagi Reddy. B, O. Chandra Sekhar, M. Ramamoorty, “Implementation of
zero-current switch turn-ON based buck-boost buck type rectifier for low
power applications”. International Journal of electronics – Taylor & Francis
publication, Vol.106, No.8.
https://www.tandfonline.com/doi/full/10.1080/00207217.2019.1582711.
XIX. Qingguo Sun, Jianhua Wu*, Chun Gan and Jing Wang”A Novel Boost
Chopper Converter-Based Torque Sharing Function Control Strategy for
Switched Reluctance Motors,” 978-1-5386-3246-8/17/$31.00 © 2017 IEEE.
XX. Tai, Chang Yan, and Cheng KW Eric. et al.”A simulation model for a 4
phase switched reluctance motor for PSIM.” Power Electronics Systems and
Applications (PESA), 2011 4th International Conference on, IEEE, pp. 1-5,
2011.

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Abstract:

De-noising is the reconstruction of an original image once all useless noise that is from affected images are eliminated. The image de-noising is a major challenge to researchers since the removal of noise can introduce artefacts that can result in the blurring of all images. The techniques based on the wavelet were to identify better applicability in the removal of noise owing to the capability of spacefrequency and its localization. The techniques inspired by nature have an important role to play in image processing. This will bring down image blurring, noise and improves enhancement of image, image fusion, image thresholding, and image pattern recognition. The algorithm known as Grey Wolf Optimization (GWO) falls under the category of swarm intelligence and thus initiates the process of optimization using random solutions.

Keywords:

Denoising,Image denoising,Wavelet-based techniques,Grey Wolf Optimization (GWO) algorithm,

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