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SOCIO-ECONOMIC PROBLEMS- A STUDY OF SUGALI TRIBE IN JILLELAMANDA PEDDA THANDA, CHITTOOR DISTRICT, ANDHRA PRADESH

Authors:

G.Kiran Kumar Reddy, Aliya Sultana, M.Surendra, Y. Suneetha , P. Kousar Basha

DOI NO:

https://doi.org/10.26782/jmcms.2020.08.00065

August 24, 2020

Abstract:

In India, numerous tribal people are living. From generations onwards,there are socio economic disparities and problems among the tribal people. This paper discusses about trivials and tribulations of sugali people, who secluded in Jilleamanda Pedda Thanda, in Chittoor District. Sugalis are migratory one. Culture,traditions, pastoral life are part of their life. Aim: To evaluate the social status of sugalis and rehabilitation in Chittoor District, Andhra Pradesh. Materials and Methods: We spent 15 days in the Thanda, and surveyed about the life style of living, interaction with tribe’s. We garnered some information from secondary sources. Results: Status of marriage system, living style, cultivation, political empowerment, cattle rearing, and alcoholism impact on their economic status are discussed. Conclusion: Tribal people must take care about their self-development. It leads to familial, society development

Keywords:

Income,marriage system,schemes,political upliftment,

Refference:

I. Ayappan, A., 1948, “Report on the Socio-economic conditions of the Aboriginal Tribes of the Province of Madras”. Government Press, Madras, pp.164-166.
II. Briggs, T.“An account of the origin, history and manners of Banjaras and transactions of the literary society of Bombay”, Vol 08, pp. 172-191, 1877.
III. Crook, W, “The tribes and castes of the North western India”, Delhi, pp. 149-173, 1974.
IV. Cumberlege, 1882, “Same account of the Banjara class”. Bombay, pp. 149-173.
V. Elliot, H. M. “Banjara’ the races of N.W. province of India. London, Volume 01, pp. 55-56, 1869.
VI. Government of Andhra Pradesh Panchayat Raj Engineering Departemnt, Andhra Pradesh Rural Roads Connectivity Project The Asian Infrastructure Investment Bank assisted, Tribal Peoples Planning Framework (TPPF), Financial Report, July 2018.
VII. Government of India, Ministry of Tribal Affairs, Lok Sabha, Unstarred Question No. 221, to be answered on 17.07.2017, Tribal Population,
VIII. http://www. indiaenvironmentportal.org.in /files /file/ tribal % 20population_1.pdf
IX. Jost, C. “of Caravans and Wanderlust: the Banjarans”. The India Magazine of her people and culture, Vol 02, pp41-47,1982.
X. Malhotra, S.P., and Bose, A.P. “Problems of Rehabilitation of Nomadic Banjaras”. Annals of the Arid Zone, Volume 02, no 3, pp. 74-76,1963.
XI. Nanjundaiah, H.V. and Ananta Krishan Iyer, L.K.“The Mysore tribes and castes”. Mysore University, Mysore, Volume 02, pp.39-142,1928.
XII. RamaswamyAiyer, C.P.andChman Lal’s “Gipsics-Forgotten children in India”, Ministry of Publication Division of Information and Broadcasting, Government of India, Volume 07, issue 09, 1962.
XIII. RanjitaSingh.“Social Conditions of Elders and Problems”, Quest Journals Journal of Research in Humanities and Social Science, Vol 3, Issue 3, pp. 52-54, 2015.
XIV. Rao, A .V. “Problems of the Aged Seeking Psychiatric Help”, New Delhi: ICMR,1985.
XV. Robertson B. “Banjara’ Census of growth”. Journal of Biosocial Science, Volume01,pp. 43-67,1892.
XVI. Russel, R.V. and Hiralal, R.B. “Tribes and Castes of the Central province in India”.Rajadhani book Centre, Delhi: Vol 02, pp162-191, 1975.
XVII. Roma Banjara. “Shampan India – the Banjara People of India’.Jyoti Industrial estate,Vol 03,issue 03, 1983.
XVIII. Singh. R. “Social conditions of elderly and problems”, Journal of Research in Humanities and Social Science. Volume 03, issue03, pp. 20-25 2015.
XIX. Sira-j-ul-Hassan Syed., “The castes and tribes of H.E.H”. TheNizam’s Dominions, Volume01, pp. 15-25, 1920.
XX. Tanuja M. “Care and support for the elderly: a comparative study in rural and urban setups in Odisha”. International Journal Social Economics,pp. 52–64, 2012.
XXI. Websites: http:// aptribes. gov.in /pdfs/table2.pdf.

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Journal Vol – 15 No -8, August 2020

TENSOR COMPLETION WITH DCT BASED GRADIENT METHOD

Authors:

Jyothula Sunil Kumar , N Durga Sowdamini

DOI NO:

https://doi.org/10.26782/jmcms.2020.08.00066

August 24, 2020

Abstract:

Tensor Completion from a limited number of non-distorted observations, has enticed researchers interest. The color image has been considered as the three dimensional tensor. Low rank property in Optimization has been used to recover the tensors in the image. The Low rank prior alone not enough to tensor completion. The traditional tensor truncated nuclear norm approaches have been able to approximate the real rank of the tensor, but these are low rank prior approaches. Here a transformation-based optimization method has been proposed to complete the tensors of the image. The Discrete Cosine Transformation (DCT) has been used as transformation method. The tensor singular value decomposition (t-SVD) and accelerated proximal gradient line (APGL) approaches have been considered. The Full Reference metrics i.e., peak signal to noise ratio (PSNR) and structural similarity (SSIM) have been used to evaluate the proposed approach. The obtained results are superior to the existing algorithms. The PSNR and SSIM have been recorded as 27.30 dB and 0.8845 respectively

Keywords:

Tensor Completion,Tensor Singular Value Decomposition,Discrete Cosine Transform,Convex Optimization,

Refference:

I. Emmanuel J Candès and Benjamin Recht. Exact matrix completion via convex optimization. Foundations of Computational mathematics, 9(6):717, 2009.

II. Ji Liu, Przemyslaw Musialski, Peter Wonka, and Jieping Ye. Tensor completion for estimating missing values in visual data. IEEE transactions on pattern analysis and machine intelligence, 35(1):208–220, 2012.

III. Jing Dong, Zhichao Xue, Jian Guan, Zi-Fa Han, and Wenwu Wang. Low rank matrix completion using truncated nuclear norm and sparse regularizer. Signal Processing: Image Communication, 68:76–87, 2018.

IV. Misha E Kilmer, Karen Braman, Ning Hao, and Randy C Hoover. Third-order tensors as operators on matrices: A theoretical and computational framework with applications in imaging. SIAM Journal on Matrix Analysis and Applications, 34(1):148–172, 2013.

V. Ping-Ping Wang, Liang Li, and Guang-Hui Cheng. Low rank tensor completion with sparse regularization in a transformed domain. arXiv preprint arXiv:1911.08082, 2019.

VI. Shengke Xue, Wenyuan Qiu, Fan Liu, and Xinyu Jin. Low-rank tensor completion by truncated nuclear norm regularization. In 2018 24th International Conference on Pattern Recognition (ICPR), pages 2600–2605. IEEE, 2018.

VII. Yao Hu, Debing Zhang, Jieping Ye, Xuelong Li, and Xiaofei He. Fast and accurate matrix completion via truncated nuclear norm regularization. IEEE transactions on pattern analysis and machine intelligence, 35(9):2117–2130, 2012.

VIII. Yaru Su, Xiaohui Wu, and Wenxi Liu. Low-rank tensor completion by sum of tensor nuclear norm minimization. IEEE Access, 7:134943–134953, 2019.

IX. Yunhe Wang, Chang Xu, Shan You, Chao Xu, and Dacheng Tao. Dct regularized extreme visual recovery. IEEE Transactions on Image Processing, 26(7):3360–3371, 2017.

X. Zemin Zhang, Gregory Ely, Shuchin Aeron, Ning Hao, and Misha Kilmer. Novel methods for multilinear data completion and de-noising based on tensor-svd. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 3842–3849, 2014.

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Journal Vol – 15 No -8, August 2020

DESIGN OF SINGLE LINE TO THREE LINE POWER CONVERTER

Authors:

M. Subba Rao , SakilaGopal Reddy , K. Sai Janardhan , Sangu Harish Reddy

DOI NO:

https://doi.org/10.26782/jmcms.2020.08.00067

August 24, 2020

Abstract:

This power converter is a device thattransforms single-line power to three-phase power. The proposed single line to three-line ((1φ or DC)/3φ) power-conversion system contains a power converter; zero-sequence transformer set, and filter capacitors and inductors. Generally, converters are utilized wherever the supply is single-phase to convert it into three-phase we use this type of converters. These converters are mostly used in secluded location and surcharges because of the electric utilities don't install due to cost is too high to install. Three-phase services usually require a high price due to the installation of extra equipment and meters at the transformer and also extra electric wire for transmission is required. In this paper, the single-line to three-phase converter is designed by using SIMULINK toolbox in MATLAB software.

Keywords:

MOSFET,Single Line,Three Phase ,Fly back Converter,MPPT,

Refference:

I. Ashraf A. Mohammed and Samah M. Nafie; fly back Converter Design forLow Power Application.International conference on computing control, networking,electronicsandEmbedded systems.

II. EuzeliCipriano, CursinoBrandãoJacobina, Edison Roberto Cabral da Silva, Nady Rocha ” Single-Phase to Three-Phase Power Converters: State of the Art”, IEEE – Institute of Electrical and Electronics Engineering, Vol. 27, Issue. 5, (2012) PP- 2437 – 2452.

III. Mohan Reddy K.; Naveen Reddy A.; “solar PV Array fed four switch buck-boost converter for LHB Coach” ijcta, 9 (29), 2016, pp.249-255.

IV. M.SubbaRao, Dr.Ch.SaiBabu, Dr.S.Satyanarayana, “Digital Fuzzy Current Mode Controlled Integrated PFC Converter with External Ramp Compensation”, Journal of Circuits, Systems, and Computers (JCSC), Vol. 27, No. 9 (2018), p.p.1850147-1-23.

V. Sanmesh S Khandolkar, Noah Dias “Design and Fabrication of Single Phase to Three Phase Variable Voltage Power Converter” GRD Journals- Global Research and Development Journal for Engineering, Volume 2, Issue 5, (2017) PP-31-37.
VI. SmithaPaulose , Charles K J, Xaviour K, Niju Raphael “Single Phase to Three Phase Converter” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 3, (2018) PP- 1519 – 1525.

VII. Subbarao M, Ch. SaiBabu, S. Satyanarayana ,” Design and analysis of variable switching frequency controlled integrated switched mode power converter for class C & class D appliances”, Ain Shams EngJol.,vol. 9 (2018),pp 2849–2858.

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Journal Vol – 15 No -8, August 2020

A FIXED POINT THEOREM IN GENERALIZED METRIC SPACES

Authors:

M.K.BOSE , R. TIWARI

DOI NO:

https://doi.org/10.26782/jmcms.2010.07.00001

September 27, 2020

Abstract:

In this article we prove a fixed point theorem in generalized metric spaces.

Keywords:

Refference:

1) Branciari A., A fixed point theorem of Banach-Caccioppoli type on a class of generalized metric spaces, Publ. Math. Debrecen, 57 (1-2) (2000), 31-37.
2) Lahiri B. K., Saha P.. and Tiwari R. A generalized metric space is not Hausdroff, Rev. Bull. Cal. Math. Soc., 6(2) (2008), 177-178.

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Journal Vol - 5 No -1, July 2010

CURVE REPRESENTATION OF DSA GENERAL INDEX WITH THE HELP OF WAVELET FUNCTIONS

Authors:

M.M. Rahman, M. Das, M.G. Arif, M.A. Hossen, M.E. Karim

DOI NO:

https://doi.org/10.26782/jmcms.2010.07.00002

September 27, 2020

Abstract:

In this study, we collected the monthly raw data form DSE (Dhaka Stock Exchange) and we analyzed the data based on curve fitting. We represented this curve in wavelet form, especially in the form of Haar wavelet representation.

Keywords:

Refference:

1) Addition, Pual S. (2002): he Illustrade Wavelet Transform Handbook, Institution of physics.
2) Charles, C. (1991): Wavelet Theory, Academic Press, Cambridge, MA.
3) Christensen, O. (2004): Approximation Theory, From Taylor Polynomials to Wavelet Birrkhauser, Boston.
4) Daubechies, I. (1992)): Ten Lectures on Wavelets. SIAM, Philadelphia, pa.
5) Debnath, L. 2002): Wavelet transformation and their application, Birkhauser, Boston.
6) Mallat, S. (1999): A wavelet Tour of Signal Processing. Academi Press, New York.
7) Mayer, Y. (1993): Wavelets: their past and their future, Progress in Wavelet Analysis and its Application Gif-su-Yvette, pp 9-18.
8) Strang, G. (1989): Wavelets and Dilation Equations: A brief introduction. AM Review, 31: 614-627.
9) Wells, R.O. (1993): Parametrizing Smooth Compactly Supported Wavelets. Transform American Mathematical Society, 338(2): 919-931.
10) Walnut, D.F. (2001 0: An Introduction to Wavelet Analysis BiRkhuser, Boston.
11) Wojtaszczyk, P. (1997): A Mathematical Introduction to Wavelet, Cambridge University press, Cambridge, U. K.

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Journal Vol - 5 No -1, July 2010

RATE OF CHANGE OF VORTICITY COVARIANCE IN MHD TURBULENT FLOW OF FLUID IN A ROTATING SYSTEM

Authors:

M.L. Rahman

DOI NO:

https://doi.org/10.26782/jmcms.2010.07.00003

September 27, 2020

Abstract:

In the paper, the rate of change of vorticity covariance in MHD turbulent flow of dusty fluid in a rotating system is studied. The results obtained show that the defining scalers (………………………..) of the rate of change of vorticity covariance of MHD turbulent flow depend on the defining sclars, W,T,R,P and F of the tensors  (……………………………..) already defined in the problem.

Keywords:

Refference:

1) Taylor, G.I. (1935) “Statistical theory of turbulence”, Proc.Roy.Soc.London,A151,421
2) Chandrasekhar, S. (1951). “The invariant theory of isotropic turbulence in magneto-hydrodynamics’,Proc.Roy.Soc.London,A204,435
3) Chandrasekhar, S. (1955a). “A theory of Turbulence”, Proc.Roy.Soc.London,A229, 1
4) Chandrasekhar, S. (1955b). “Hydromagnetic Turbulence-1 a deductive theory”, Proc.Roy.Soc.London,A233,322
5) Jain .C. (1962). “Pressure fluctuations within isotropic turbulence”, Mathematic Student,30,185
6) Saffman, P.G.(1962). On the stability of Laminar flow of a dusty gas”, J.Fuid Mech., 13, 120
7) Hinze, J.O (1975). Turbulence,McGraw Hill,New York
8) Stanisic, M.M. 1985).Mathematical theory of turbulence”,Springer-Verlag,New York
9) Kishore,N. and Sinha, A.(1988).”Rate of change of vorticity covariance in dusty fluid turbulence”,Astrophysics and Space Science,146,53
10) Kishore, N. and Gosefid,Y.T. (1988). “Effect of coriolis force on acceleration covariance in MHD turbulence”, Astrophysics and Space Science,150,89.
11) Sinha, A.(1988).’’Effect of dust particles on acceleration covariance of ordinary turbulence”,J. Scientific Research,.H.U.,38,7
12) Kishore,N. and Sarker,S.A. (1989).” Rate of change of vorticity covariance in MHD turbulence”, Presented in the 5th Mathematical Conference,B.H.U
13) Kishore,N. and Sarker,S.A. (1920).” International journal of energy research,V14,573-577.

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Journal Vol - 5 No -1, July 2010

UNSTEADY MHD FLOW OF GENERALIZED VISCO-ELASTIC OLDROYD FLUID UNDER TIME-DEPENDENT BODY FORCE THROUGH A POROUS CONCENTRIC CIRCULAR CYLINDRICAL DUCT

Authors:

M.S. Uddin

DOI NO:

https://doi.org/10.26782/jmcms.2010.07.00004

September 27, 2020

Abstract:

The aim of present paper is the investigation of the unsteady unidirectional flow of an incompressible generalized visco-elastic Oldroyd type fluid between porous concentric cylindrical duct under the action of a transverse magnetic field with time dependent body force. Here we have calculated the velocity profile of a fluid element of the problem theoretically and graphically. From the analysis of this fluid motion, the dynamics of the ordinary viscous fluid is also discussed.

Keywords:

Refference:

1) Lamb H., : Hydrodynamics, New York, over Pub, Inc (1945).
2) Cowling T.., Magneto hydrodynamics, Inter-Science, Pub. Inc New York (1957)
3) Carslaw H.S. and Jager .C., : Operational Method in Applied math, Dover Pub. Inc ew York (1949).
4) Das K.K., : Proc Math. Soc, BHU. 7 (1991), 35-39.
5) Sengupta P.R., and Mahapatra J. Roy, : Rev. Roum. Sci Tech. Mec. Appl (1971), 1023-1031.
6) Chakraborty G. and Sengupta P.R.,: Proc. Inter-AMSE Conference Signals, Data, System, New Delhi (India) ABSE press, Vol 4 1991), 83-92.
7) Ghose B.C., Sengupta P.R. : Proc Math. Soc., BHU. 9 (1993), 89-95.
8) Cabannes . : Theoretical magneto fluid dynamics, academic press. New York and London.
9) Chandrasekhar S.,: Hydrodynamics and Hydromantic stability, Cambridge University press, (1961).
10) Rlvlin R.S. and .Ericksen J.L, : J.R. at Mech. Anul 1955).
11) Reiner M., : Amer J. Math. Soc (1945).
12) Goldroyd J., : Proc. Roy. Soc. (1950), 200-523.
13) Das K.K. and Sengupta P.R. : Unsteady flow of a conducting viscousfluid through a straight tube, proc. Nat. Aead. Aci. India (1993).
14) Chakraborty G. and Sengupta P.R. : MHD flow of two immiscible visco-elastic Rivlin’s-Erickson fluids through a non-conducting rectangular channel, Journal of physics, Vol.42 (1992, 525-531.

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Journal Vol - 5 No -1, July 2010

SOME RESULTS ON THE MAXIMUM TERMS OF COMPOSITE ENTIRE FUNCTIONS

Authors:

Sanjib Kumar Datta , Somnath Mandal

DOI NO:

https://doi.org/10.26782/jmcms.2010.07.00005

September 27, 2020

Abstract:

The aim of this paper is to compare the maximum term of composition of two entire functions with their corresponding left and right factors.

Keywords:

Refference:

1) Singh, A.P.: On maximum term of composition of functions, Proc. Nat.Acad. Sci. India, 59A (1989), pp.103-115.
2) Singh, A.P.: On maximum modulus and maximum term of composition of entire functions, Indian J. Pure Appl. Math., 22(12), December(1991), pp.1019-1026.
3) Valiron, .: Lectures on the General Theory of Integral Functions, Chelsea Publishing Company, 1949.

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Journal Vol - 5 No -1, July 2010

O FOURTH ORDER MORE CRITICALLY DAMPED NONLINEAR DIFFERENTIAL SYSTEM

Authors:

M. Ali Akbar

DOI NO:


September 27, 2020

Abstract:

In this article an analytical approximate solution has been investigated for obtaining the transient response of fourth order more critically damped nonlinear systems. The results obtained by the presented technique agree with the numerical result obtained by the fourth order Runge-Kutta method nicely. An example is solved to illustrate the method.

Keywords:

Refference:

1) Akbar, M. A. Paul A. C. and Sattar M.A., An Asymptotic Method of Krylov-Bogoliubov for Fourth Order Over-damped Nonliner Systems, Gaint, J. angladesh Math. Soc., Vol. 22, pp. 83-96, 2002.
2) Akbar, M.A. Shamsul Alam M. and Sattar M.A., Asymptotic Method for Fourth Order Damped Nonlinear Systems, Ganit, J. Bangladesh Math. Soc. Vol. 23, pp. 41-49, 2003.
3) Akbar, M. A, Shamsul Alam M. and . Sttar M., A Simple Technique for Obtaining Certain Over-damped Solutions of an (………………………) Order Nonlinear Differential Equation, Soochow of Mathematics Vol. 31(2), pp. 291-299, 2005.
4) Bogoliubov, N. N. and Mitropolski Yu., Asymptotic Methods in the Theory of Nonlinear Oscillations, Gordan and Breach, New York, 1961.
5) Emdadul Hoque, M., M. Takasaki, . Ishino and . Mizuon, Development of a Three Axis Active Vibration Isolator Using Zero-Power Control, IEEE/ASME Transactions on Mechatronics, 2(4), 462-470, 2006.
6) Krylov, N. . and Bogoliubov N. N., Introduction to Nonlinear Mechanics, Princeton University Press, New Jersey, 1947.
7) Mendelson, K. S., Perturbation Theory for Damped Nonlinear Oscillations, J. Math. Physics, Vol. 2, pp. 3413-3415, 1970.
8) Mizuon, T., T. Toumia and M. Takasaki, Vibration Isolation System Using Negative Stiffness, JSME International Journal, Series C, 46(3), 517-523, 2003.
9) Murty, I. S. N., Deekshatulu B. L. and Krishna G., On an Asymptotic Method of Krylov-Bogoliubov for Over-damped Nonlinear System, J. Frank. Inst., Vol. 288, pp. 49-65, 1969.
10) Murty, I. S. N., A Unified Krylov-Bogoliubov Method for Solving Second Order Nonlinear Systems, Int. J. Nonlinear Mech. Ol. 6, pp. 45-53, 1971.
11) Popov, I. P., A Generalization of the Bogoliubov Asymptotic Method in the Theory of Nonlinear Oscillations (in Russian) Dokl. Akad. SSR Vol. 3, pp. 308-310, 1956.
12) Rokibul, M. I, Akbar M. A. and Samsuzzoha ., “A New Technique for Third Order Critically Damped Non-linear Systems, “Journal of Applied Sciences Research, Vol. 4(6), pp. 695-706, 2008.
13) Rokibul M. I, Sharif ddin M., Akbar M. A, Azmol Huda M. and Hossain S. M. ., A New Technique for Fourth Order Critically Damped Nonlinear System with Some Conditions, Bull. Cal. Math. Soc., Vol. 100(5), pp. 501-514, 2008.
14) Sattar, M. A., An asymptotic Method for Second Order Critically Damped Nonlinear Equations, J. Frank. Inst., Vol. 321, pp. 109-113, 1986.
15) Shamsul Alam, M. and Sattar M. ., An Asymptotic Method for Third Order Critically Damped Nonlinear Equations, J. Mathematical and Physical Sciences, Vol. 30, pp. 291-298,1996.
16) Shamsul Alam, M., Asymptotic Methods for Second Order Over-damped and Critically Damped Nonlinear Systems, Soochow Journal of Math. Vol. 27, pp. 187-200, 2001.
17) Shamsul Alam, M. Bogoliubov’s Method for Third Order Critically Damped Nonlinear Systems, Soochow J. Math. Vol. 28, pp. 65-80, 2002.

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Journal Vol - 5 No -1, July 2010

EXPERIMENTAL STUDY OF TRAJECTORY TRACKING AND PATH PLANINNIG OF WHEELED MOBILE ROBOT (WMR)

Authors:

Kawther K Younus, Nabil H Hadi

DOI NO:

https://doi.org/10.26782/jmcms.2020.09.00001

September 27, 2020

Abstract:

This work studies the trajectory tracking of a non-holonomic WMR experimentally. Experimental work includes two parts where part one involves path tracking for some desired shapes, while the second part includes path planning and obstacle avoidance in the considered environment. Different cases of the trajectory were studied such as (straight line, circular, elliptical, squared, and triangular shape trajectory) utilizing Python programming. Also, the image processing technique and gird graph method had been used for the study two cases of path planning with different obstacles and position of obstacles, also with different start and goal points. On the other hand, the number of obstacles between the two cases is not the same and the shape of obstacles is uniform or non-uniform, also different size of obstacles were considered where the robot should avoid these obstacles and reach the goal point.The errors had been calculating adopting on the encoder. Results showed a very good match between the simulation and the desired trajectory. Also, the grid graph method was efficient in path planning and obstacle avoidance.

Keywords:

Mobile robot,Nonholonomic,DDWMR,Grid graph,Experimental,

Refference:

I Ali Alouache, and Qinghe Wu, 2018 China. “Genetic Algorithms for Trajectory Tracking of Mobile Robot Based on PID Controller”. PP237-241.

II Anish Pandey and Dayal R. Parhi, 2017 India. “Optimum Path Planning of Mobile Robot in Unknown Static and Dynamic Environments Using Fuzzy-Wind Driven Optimization Algorithm”, J. Defence Technology. V13. PP47-58.

III ImenHassani et. al, 2018 Tunisia. ” “Robot Path Planning with Avoiding Obstacles in Known Environment Using Free Segments and Turning Points Algorithm”, J. Mathematical Problems in Engineering. V2018. PP: 1-13

IV Mahmood Ali Moqbel et.al, 2016 Malaysia, Yemen. “Robust Backstepping Tracking Control of Mobile Robot Based on Nonlinear Disturbance Observer”, J. International Journal of Electrical and Computer Engineering (IJECE). V6. N2. PP901-908.

V Mohamed Maghenem. et. al, 2017 France. “Global Tracking-Stabilization Control of Mobile Robots with Parametric Uncertainty”. J. International Federation of Automatic Control. V50. PP4114–4119.

VI Mehr-e-Munir, ShahidLatif, Muhammad Aamir Aman,Waleed Jan, Jehanzeb Khan, Improved Distance Measuring Using Laser Light, J. Mech. Cont.& Math. Sci.Vol.-13, No.-3, July-August (2018), pp 192-198

VII Nardênio Almeida Martins et. al, 2011 Brasil, France. “An Adaptive Variable Structure Controller for the Trajectory Tracking of a Nonholonomic Mobile Robot with Uncertainties and Disturbances”, J. JCS&T. V11:No1. PP.

VIII Ollero, A., Sanfeliu, A., Montano, L., Lau, N., and Cardeira, C., 2017 Spain. B. ROBOT 2017: Third Iberian Robotics Conference.

IX Sourish Ghosh and Joydeep Biswas, 2017 Canada. “Joint Perception and Planning For Efficient Obstacle Avoidance Using Stereo Vision”, C. International Conference on Intelligent Robots and Systems (IROS). V2017. PP1026-1031.

X Yones k. k.and Hadi N. H. 2020 Iraq. “Path tracking and backstepping control for a wheeled mobile robot (WMR) in a slipping environment”, C. 3rd International Conference on Engineering Sciences.PP1-17.

XI Zheng Mingliang, Canonical Equations of Singular Mechanical Systems in Terms of Quasi-coordinates, J. Mech. Cont.& Math. Sci., Vol.-14, No.-4, July-August (2019), pp 1-7

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Journal Vol – 15 No -9, September 2020

NUMERICALSOLUTION OF UNSTEADYTWO-DIMENSIONAL HYDROMAGNETICS FLOW WITH HEAT AND MASS TRANSFER OF CASSON FLUID

Authors:

Rafiuddin, NoushimaHumera.G

DOI NO:

https://doi.org/10.26782/jmcms.2020.09.00002

September 27, 2020

Abstract:

The present investigation deals with the oscillatory flow of a  Cassonfluid subjected to heat and mass transfer along a porous oscillating channel in presence of an external magnetic field.Here we consider the flow through a channel in which the fluid is injected on one boundary of the channel with a constant velocity,while it is sucked off at the other boundary with the same velocity.Galerkins technique is used to find expressions for the velocity,  temperature, concentration of mass, volumetric flow rate, shear stress, rate of heat, and mass transfer andfound their numerical solutions.The effects of various parameters like Hartmann number,radiative parameter,Reynolds number, permeability parameter,Schimdth number on flow variables are discussed and shown graphically.

Keywords:

Oscillating channel,radiative heat transfer,mass transfer,volumetric flow rate,shear stress,Casson fluid,

Refference:

I. Adhikari,S.D and Mishra,J.C,”Unsteady two-dimensional hydromagneticflow and heat transfer of a fluid “,Int.J.Appl.Math and Mech,7(4),p.1-20,(2011)
II. Amjad Ali,Humayun Farooq, and Attia Fatima,Scientific Reports 10,Articlenumber 10629,(2020).
III. Bitta,P.,Kandala,T., and Iyengar,V., Nonlinear Analysis:Modelling and control,18(4), p.399-411,(2013).
IV. Casson N .,C.C Mill,Ed.pp 84-102,perganon press,London,UK(1959).
V. ChandraSekhar et.al,AIP Conference Proceedings 2112,020144,(2019).
VI. Dhal,R.K., Banamali Jena and Mariappan,M., International Research
Journal of Adv. Engineering and Science,vol 2,issue 3,p.220-223,(2017).
VII. Ganesh,Ismail and Anand,Int.J.A.M ,oct,(2018).
VIII. Goutam Chakraborty, SupriyaPanja, “STEADY FLOW OFMICROPOLAR FLUID UNDER UNIFORM SUCTION”, J. Mech. Cont. & Math. Sci., Vol.-4, No.-2, January (2010), pp 523-529
IX. Kiema,D.W.,Manyonge,W.A., and Bitok,J.K.,Int.J.Scientific Research
and innovative technology,vol 2,No 2, (2015).
X. Kirubha Shankar,Ganesh and Ismail,”Exact solution of unsteady MHD flow through parallel plates”, IJAMAE,vol 1,issue 1,
XI. Kalyan Kumar,Ch., and Suripeddi Srinivas,Engg.Transactions,65,3,p.461-481,(2017).
XII. Kumar,L.,Narayana,S,Chemical.Engg.Sci,65,p.5582-5587,(2010).
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Journal Vol – 15 No -9, September 2020

SEISMIC ANALYSIS OF MULTI STOREY BUILDING WITH AND WITHOUT HANGING COLUMNS

Authors:

Rex J, A. S. Dilip Kumar, J. Selwyn Babu

DOI NO:

https://doi.org/10.26782/jmcms.2020.09.00003

September 27, 2020

Abstract:

A-pillar is a vertical section, preliminary from footing level also shifting weight to the base. Hanging or stub section similarly a precipitous element which closes (as of model design/site condition) on its base level, lies on level part i.e., beam (horizontal section). Such sections (hanging or stub) where the burden was mulled over using point load. Present examination on G+12 model with/without hanging section is studied by applying response spectrum & time history procedures beneath quake load at zone two also differentiates with storey shears, lateral burden, storey relocations, storey drifts by using Etabs. From the final output, it was clear that storey shears, lateral burden, storey displacements, storey drifts are increased for the model without hanging sections concerning model with hanging section. 

Keywords:

storey shear,lateral burden,storey displacements,response spectrum, ETABS,

Refference:

I. Ajim G. Mujawar and Mohasinkhan N. Bargir (2020) Earthquake Analysis of High-Rise structure with hanging Column, International conference of emerging trends in engineering. https://doi.org/10.1007/978-3-030-24314-2_23

II. Anil Chopra, structural dynamics, applications and theory of earthquake engineering (third edition).

III. E.M Lui and Awkar J. C (1997), Seismic analysis of multi-storey semirigid frames”, Page no: 425-442, Issue 5, volume 21, Journal of Engineering Structures.

IV. G. Iyappan, N. Elakkiyarajan, And A. Naveen (2018) Seismic Analysis of Multi-storey structure with hanging Column.). (IOSR Journal of Engineering (IOSRJEN) ISSN (e): 2250-3021, ISSN (p): 2278-8719 PP 42-48)

V. I.S 1893, Part 1(2002) codebook of design of seismic force resistant structures. (https://law.resource.org/pub/in/bis/S03/is.1893.1.2002.pdf).

VI. I.S.456, (2000) code of plain and R.C. structures. (https://elibrarywcl.files.wordpress.com/2015/02/plain-and-reinforced-concrete.pdf).

VII. Lale, Kadam, Waykule (2016), studied oat conduct on the hanging column for seismic analysis of the multi-storey structure. IJCIET Volume 7 Issue 6. http://www.iaeme.com/MasterAdmin/uploadfolder/IJCIET_07_06_075/IJCIET_07_06_075.pdf.

VIII. Martin Williams, structural dynamics (first edition).

IX. Shashikant. K. Duggal, Seismic force resistant structures design (second edition).

X. Syed tajodeen (2014), seismic analysis of multi-storey structure with hangingcolumns.https://www.researchgate.net/publication/282905209_SEISMIC_ANALYSIS_OF_MULTISTOREY_BUILDING_WITH_FLOATING_COLUMNS.
XI. Usama Ali*1, Naveed Ahmad2, Yaseen Mahmood3, Hamza Mustafa4, Mehre Munir5, A comparison of Seismic Behavior of Reinforced Concrete Special Moment Resisting Beam-Column Joints vs. Weak Beam Column Joints Using Seismostruct, J. Mech. Cont.& Math. Sci.,Vol.-14, No.-3, May-June (2019), pp 289-314.
XII. Yaseen Mahmood*1, Khan Shahzada2, Usama Ali3, Abdul Farhan4, Syed Shujaat Ali Shah5, Fawad Ahmad6, FRAMEWORK FOR ASSESSING SEISMIC RESILIENCE OF CITIES, J. Mech. Cont.& Math. Sci., Vol.-14, No.-5, September – October (2019), 42-49

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Journal Vol – 15 No -9, September 2020

SEGMENTATION OF CANCER CELL FROM AN IMAGE

Authors:

Prakash E, Mahalakshmi M

DOI NO:

https://doi.org/10.26782/jmcms.2020.09.00004

September 27, 2020

Abstract:

Segmentation of an image is the first step to extract required details from an image. It is a process of separating an image into unique regions containing each pixel with identical attributes. In this paper, an automatic segmentation algorithm is implemented to detect cancer cells from an image and label them in the original image.

Keywords:

Image Segmentation, Thresholding,Edge detection,Computed Tomography,

Refference:

I. Detect Cell Using Edge Detection and Morphology [online]. https://www.mathworks.com/help/images/detecting-a-cell-using-image-segmentation.html – Accessed: 17 July 2020.

II. Lindeberg, T. and Li, M. X. “Segmentation and Classification of Edges Using Minimum Description Length Approximation and Complementary Junction Cues”, Computer Vision and Image Understanding, Vol. 67, No. 1, pp. 88 – 98, 1997.

III. MATLAB:R2019b, The MathWorks, Inc, 2019.

IV. Narayanamma Laxmi K., R. V. Krishnaiah, P. Sammulal, “An Efficient Statistical Feature Selection Based Classification”, J. Mech. Cont.& Math. Sci., Vol.-14, No.-4, July-August (2019) , pp 27-40

V. Otsu, N, “A threshold selection method from gray-level histograms”. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, pp. 62–66, 1979.

VI. Pham, D. L., Xu, C., and Prince, J. L. “Current Methods in Medical Image Segmentation”. Annual Review of Biomedical Engineering, Vol. 2, No. 1, pp. 315–337, 2000.

VII. Poornima, B., Ramadevi, Y. and Sridevi, T., “Threshold Based Edge Detection Algorithm”, International Journal of Engineering and Technology, Vol 3, No. 4, pp. 400–403, 2011.

VIII. Senthilkumaran, N., and Vaithegi, S., “Image segmentation by using thresholding techniques for medical images“, Computer Science & Engineering: An International Journal (CSEIJ), Vol. 6, No. 1, 2016.

IX. Smistad, E., Falch, T. L., Bozorgi, M., Elster, A. C. and Lindseth, F. “Medical image segmentation on GPUs—a comprehensive review,” Medical Image Analysis, Vol. 20, No. 1, pp. 1–18, 2015.

X. Sobel, I., “An Isotropic 3×3 Image Gradient Operator”. Presentation at Stanford A.I. Project 1968, 2014.

XI. Vasanthselvakumar R, Balasubramanian M, Palanivel S, “Detection and Classification of Kidney Disorders using Deep Learning Method”, J. Mech. Cont.& Math. Sci., Vol.-14, No.2, March-April (2019), pp 258-270.

XII. Wang, Z., “Image segmentation by combining the global and local properties”, Expert Systems with Applications, Vol. 87, pp. 30-40, 2017.

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Journal Vol – 15 No -9, September 2020

SMART AND EFFICIENT IRRIGATION SYSTEM USING WIRELESS SENSOR NETWORK AND IoT

Authors:

Suresh S Rao

DOI NO:

https://doi.org/10.26782/jmcms.2020.09.00005

September 27, 2020

Abstract:

A smart and efficient irrigation system is being proposed which minimizes water consumption for commonly cultivated plants. The irrigation system has a wireless sensor network consisting of soilmoisture and temperature sensors, placed in the irrigated land. The system also has a wireless control unitthat will receive the sensor information from the wireless sensor network,send control signals to the relays on the water taps, and also wirelessly transmitssensor data to a web server. An algorithm is proposed to compute the exact amount of water needed for irrigation which uses the sensor data received from the wireless sensor network. The wireless control unit controls the water tap to release the amount of water needed for irrigation. The control unit also sends the sensor data to a web server using Wi-Fi and the Internet.A web application is used to read and inspect the sensor data from the server and for scheduling the irrigation through control commands. The system will be used for testing some commonly cultivated plants in a particular geographical location and is also intended to be used for other geographical locations. The software developed takes into account the plant and soil type, plant growth stages, plant evaporation data, soil conditions, and effective rainfall. This software will also determine the most suitable irrigation schedule for a particular crop.The system will be more useful in locations where water is scarce.

Keywords:

Mha,IoT,WSU,WCU,WSN,RCU,Wi-Fi,

Refference:

I Ashok Kumar Jain, “Water: A Manual for Engineers, Architects, Planners and Managers”, 2007, Daya Publishing House, Delhi – 110035.
II D. K. Fisher and H. A. Kebede, “A low-cost microcontroller-based system to monitor crop temperature and water status,” Comput. Electron. Agricult., vol. 74, no. 1, pp. 168–173, Oct. 2010.
III G. Yuan, Y. Luo, X. Sun, and D. Tang, “Evaluation of a crop water stress index for detecting water stress in winter wheat in the North China Plain,” Agricult. Water Manag., vol. 64, no. 1, pp. 29–40, Jan. 2004.
IV H. D. Kumar, “WATER WOES Conserving and Managing our Future Lifeline”, Daya Publishing House, Delhi 110035, 2006.
V https://www.dpi.nsw.gov.au/__data/assets/pdf_file/0004/127282/Irrigation-scheduling.pdf
VI https://agriinfo.in/criteria-for-scheduling-irrigation-or-approaches-for-irrigation-scheduling-20/
VII I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A survey on sensornetworks,” IEEE Commun. Mag., vol. 40, no. 8, pp. 104–112, Aug. 2002.
VIII J. M. Blonquist, Jr., S. B. Jones, and D. A. Robinson, “Precise irrigation scheduling for turfgrass using a subsurface electromagnetic soil moisture sensor,” Agricult. Water Manag., vol. 84, nos. 1–2, pp. 153–165, Jul. 2006.
IX J. Yick, B. Mukherjee, and D. Ghosal, “Wireless sensor network survey,” Comput. Netw., vol. 52, no. 12, pp. 2292–2330, Aug. 2008.
X Jagdish Reddy, “Drip Irrigation versus Sprinkler Irrigation Farming”, http://www.agrifarming.in/drip-irrigation-vs-sprinkler/
XI Joaquín Gutiérrez, Juan Francisco Villa-Medina, Alejandra Nieto-Garibay, and Miguel Ángel Porta-Gándara, “Automated Irrigation System Using a Wireless Sensor Network and GPRS module”, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 63, NO. 1, JANUARY 2014
XII K.S. Bhaskar M.R.K. Rao P.N. Mendhe M.R. Suryavanshi, “Micro Irrigation Management in Cotton”, http://www.cicr.org.in/pdf/micro_irrigation.pdf
XIII K. S. Nemali and M. W. Van Iersel, “An automated system for controlling drought stress and irrigation in potted plants,” Sci. Horticult., vol. 110, no. 3, pp. 292–297, Nov. 2006.
XIV K. W. Migliaccio, B. Schaffer, J. H. Crane, and F. S. Davies, “Plant response to evapotranspiration and soil water sensor irrigation scheduling methods for papaya production in south Florida,” Agricult. Water Manag., vol. 97, no. 10, pp. 1452–1460, Oct. 2010.
XV O. M. Grant, M. J. Davies, H. Longbottom, and C. J. Atkinson, “Irrigation scheduling and irrigation systems: Optimising irrigation efficiency for container ornamental shrubs,” Irrigation Sci., vol. 27, no. 2, pp. 139–153, Jan. 2009.
XVI O. Mirabella and M. Brischetto, “A hybrid wired/wireless networking infrastructure for greenhouse management,” IEEE Trans. Instrum. Meas., vol. 60, no. 2, pp. 398–407, Feb. 2011.
XVII R. G. Allen, L. S. Pereira, D. Raes, and M. Smith, Crop Evapotranspiration-Guidelines for Computing Crop WaterRequirements—FAO Irrigation and Drainage Paper 56. Rome, Italy:FAO, 1998.
XVIII S. A. O’Shaughnessy and S. R. Evett, “Canopy temperature-based system effectively schedules and controls center pivot irrigation of cotton,”Agricult. Water Manag., vol. 97, no. 9, pp. 1310–1316, Apr. 2010.
XIX Sandeep CH., S. Naresh Kumar, P. Pramod Kumar, “SIGNIFICANT ROLE OF SECURITY IN IOT DEVELOPMENT AND IOT ARCHITECTURE”, J. Mech. Cont.& Math. Sci.,Vol.-15, No.-6, June (2020), pp 168-178.

XX Sowmya Gali, Venkatram N., “Multi-Context Cluster Based Trust Aware Routing For Internet of Things”, J. Mech. Cont.& Math. Sci.,Vol.-14, No.-5, September – October (2019), pp 396-418
XXI S. B. Idso, R. D. Jackson, P. J. Pinter, Jr., R. J. Reginato, and J. L. Hatfield, “Normalizing the stress-degree-day parameter for environmental variability,” Agricult. Meteorol., vol. 24, pp. 45–55, Jan. 1981.
XXII S. L. Davis and M. D. Dukes, “Irrigation scheduling performance by evapotranspiration-based controllers,” Agricult. Water Manag., vol. 98, no. 1, pp. 19–28, Dec. 2010.
XXIII X. Wang, W. Yang, A. Wheaton, N. Cooley, and B. Moran, “Efficient registration of optical and IR images for automatic plant water stress assessment,” Comput. Electron. Agricult., vol. 74, no. 2, pp. 230–237, Nov. 2010.
XXIV Y. Erdem, L. Arin, T. Erdem, S. Polat, M. Deveci, H. Okursoy, and H. T. Gültas, “Crop water stress index for assessing irrigation scheduling of drip-irrigated broccoli (Brassica oleracea L. var. Italica),” Agricult.WaterManag., vol. 98, no. 1, pp. 148–156, Dec. 2010.
XXV Y. Kim, J. D. Jabro, and R. G. Evans, “Wireless lysimeters for realtime online soil water monitoring,” Irrigation Sci., vol. 29, no. 5, pp. 423–430, Sep. 2011.
XXVI Y. Kim and R. G. Evans, “Software design for wireless sensor-based site-specific irrigation,” Comput. Electron. Agricult., vol. 66, no. 2, pp. 159–165, May 2009.
XXVII Y. Kim, R. G. Evans, and W. M. Iversen, “Remote sensing and control of an irrigation system using a distributed wireless sensor network,” IEEE Trans. Instrum. Meas., vol. 57, no. 7, pp. 1379–1387, Jul. 2008.

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Journal Vol – 15 No -9, September 2020

AN ENHANCED STUDY ON LOCALIZATION OF WIRELESS SENSOR NETWORKS USING MOBILE ANCHOR NODES

Authors:

Dandugudum Mahesh, Bhavana Jamalpur, Komuravelly Sudheer Kumar

DOI NO:

https://doi.org/10.26782/jmcms.2020.09.00006

September 27, 2020

Abstract:

Localization is done with many different sensors in many different applications. Outdoor localization in an extremely static WSN typically uses several static anchor nodes with well-known positions to assist the localization of the blind nodes. These static anchor nodes that self-using GPS usually are more expensive and this contributes to a higher system cost. Differences between localization from static anchors and mobile anchors are Path designing it should be pre-planned, or it may react to data from blind-nodes. Localization of nodes with range-based techniques involves estimating the distance between a transmitter and receiver by using features of the transmitted signal like a radio signal Strength Indicator (RSSI) as delineated in this paper. This paper explores the use of mobile anchor nodes moving through a sensor field to localize the nodes in an outdoor setting using multilateration technique.

Keywords:

Localization,Sensor Networks,Mobile anchor nodes,Airborne anchors,Anchor node,

Refference:

I. Abdi, Fereydoon, and Abolfazl Toroghi Haghighat. “A Hybrid RSSI Based Localization Algorithm for WSN Using a Mobile Anchor Node.” In Fifth International Conference on Computing, Communications, and Networking Technologies (ICCCNT), 1–6. Hefei, China: IEEE, 2014. http://ieeexplore.ieee.org/document/6963058/.
II. Anup Kumar Paul, Takuro Sato, “Localization in Wireless Sensor Networks: A Survey on Algorithms, Measurement Techniques, Applications, and Challenges”. Journal of Sensor and Actuator Network, 2017, 6, 24.
III. A. Wichmann, T. Korkmaz, and A. S. Tosun, “Robot control strategies for task allocation with connectivity constraints in wireless sensor and robot networks,” IEEE Transactions on Mobile Computing, vol. 17, no. 6, pp. 1429–1441, 2017.
IV. Chanak, Prasenjit, Indrajit Banerjee, and R. Simon Sherratt. “Energy-Aware Distributed Routing Algorithm to Tolerate Network Failure in Wireless Sensor Networks.” Ad Hoc Networks 56 (March 2017): 158–172.
V. Y. Chanti, Dr.Seena Naik, M. Rajesh, Y.Nagender “A modified Elliptic Curve Cryptography Technique for Secur-ing Wireless Sensor Networks”, International Journal of Engineering & Technology, vol.7, no.1.8, pp. 230-232, 2018. DOI: 10.14419/ijet.v7i1.8.22959
VI. Chia-Ho Ou, and Kuo-Feng Ssu. “Sensor Position Determination with Flying Anchors in Three-Dimensional Wireless Sensor Networks.” IEEE Transactions on Mobile Computing, vol. 7, no. 9 (September 2008): 1084–1097.
VII. Deepak, N., Rajendra Prasad, C., & Sanjay Kumar, S. (2018). “Patient Health Monitoring using IOT”, International Journal of Innovative Technology and Exploring Engineering, 8(2), 454–457. https://doi.org/10.4018/978-1-5225-8021-8.ch002.
VIII. D Kothandaraman, Chanti Yerrolla, B Vijaykumar, A Harshavardhan, “Indoor Users Motion Direction Detection Using Orientation Sensor with BLE in the Internet of Things”. Studia Rosenthaliana, 2020.
IX. Faheem Zafari ; Athanasios Gkelias ; Kin K. Leung, “A Survey of Indoor Localization Systems and Technologies”, IEEE Communications Surveys & Tutorials, vol.21, no.3, pp. 2568-2599, 2019.
X. Fanourakis, Marios, and Katarzyna Wac. “ReNLoc: An Anchor-Free Localization Algorithm for Indirect Ranging.” In 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), 1–9. Boston, MA, USA: IEEE, 2015.
XI. Guerrero, E., H. G. Xiong, Q. Gao, G. Cova, R. Ricardo, and J. Estevez. “ADAL: A Distributed Range-Free Localization Algorithm Based on a Mobile Beacon for Wireless Sensor Networks.” In 2009 International Conference on Ultra Modern Telecommunications & Workshops, 1–7. St. Petersburg: IEEE, 2009. http://ieeexplore.ieee.org/document/5345556/.
XII. Hiral Patel, Hiral Patel. “3D Localization Algorithms for Wireless Sensor Networks.” IOSR Journal of Computer Engineering 12, no. 1 (2013): 61–66.
XIII. Kapoor, Rohan, Subramanian Ramasamy, Alessandro Gardi, Chad Bieber, Larry Silverberg, and Roberto Sabatini. “A Novel 3D Multilateration Sensor Using Distributed Ultrasonic Beacons for Indoor Navigation.” Sensors 16, no. 10 (October 8, 2016): 1637.
XIV. Kumar, Rajesh, Sushil Kumar, Diksha Shukla, Ram Shringar Raw, and Omprakash Kaiwartya. “Geometrical Localization Algorithm for Three Dimensional Wireless Sensor Networks.” Wireless Personal Communications 79, no. 1 (November 2014): 249–264.
XV. Prakash, Ved and Pandey, Suman and Singh, Ashish Kumar, “Basic Introduction of Wireless Sensor Network” (March 12, 2019). Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE) 2019. http://dx.doi.org/10.2139/ssrn.3351024.

XVI. Rajesh Mothe, Swathi Balija, Yerrolla Chanti, Bura Vijay Kumar “A modified Fault Diagnosis Scheme in Wireless Sensor Networks”, International Journal of Engineering & Technology, vol.7, no.1.8, pp. 226-229, 2018. DOI: 10.14419/ijet.v7i1.8.22956.
XVII. R. N. Jadoon, W. Zhou, I. A. Khan, M. A. Khan, and W. Jadoon, “EEHRT: energy efficient technique for handling redundant traffic in zone-based routing for wireless sensor networks,” Wireless Communications and Mobile Computing, vol. 2019, Article ID 7502140, 12 pages, 2019.
XVIII. Seo, Hwa-jeong, and Kim, Ho-Won. “Four Anchor Sensor Nodes Based Localization Algorithm over Three-Dimensional Space.” Journal of Information and Communication Convergence Engineering 10, no. 4 (December 31, 2012): 349–358.
XIX. Sngh A., V. Yadav, M. K. Mishra, and M. Gore, “Localization scheme for three-dimensional wireless sensor networks using GPS enabled mobile sensor nodes”. International Journal of Next-Generation Networks (IJNGN), vol. 1, no. 1, pp. 60-72, 2009.
XX. Ssu, K.-F., C.-H. Ou, and H.C. Jiau. “Localization With Mobile Anchor Points in Wireless Sensor Networks.” IEEE Transactions on Vehicular Technology 54, no. 3 (May 2005): 1187–1197.
XXI. Singh Neetu, 2V.K Jain, “An Improvised Recommendation System For Mobile Plans Using Similarity Fusion”, J. Mech. Cont.& Math. Sci., Vol.-13, No.-4, September-October (2018), pp 189-197.
XXII. Sri Bindu. Sattu, “Digital Beam forming Algorithms for Radar Applications”, J. Mech. Cont.& Math. Sci., Vol.-14, No.-5, September – October (2019) , pp 527-542

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Journal Vol – 15 No -9, September 2020