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ATURAL CONVECTION IN A POROUS MEDIUM SATURATED BY NANOFLUID WITH MODIFIED BOUNDARY CONDITION – ARTIFICIAL NEURAL NETWORK (ANN) APPROACH

Authors:

Asish Mitra, Dilip Kumar Gayen

DOI NO:

https://doi.org/10.26782/jmcms.2023.11.00003

Abstract:

In the present numerical study, steady, laminar, two-dimensional flow in a porous medium saturated by nanofluid along an isothermal vertical plate is covered. Here we have considered a realistic situation where the nanoparticle volume fraction at the plate surface (boundary condition) is passively controlled by assuming that its flux there is zero. We make use of the Buongiorno model that treats the nanofluid as a two-component mixture, incorporating the effects of Brownian motion and thermophoresis. The Darcy model is employed for the porous medium. By suitable similarity variables, the governing nonlinear partial differential equations of flow are altered to a bunch of nonlinear ordinary differential equations. They have been transformed into a first-order system afterward and then integrated using Newton Raphson and adaptive Runge-Kutta methods. The computer codes are produced for this mathematical investigation in a Matlab environment. To accurately predict major parameters (reduced Nusselt number, Nur, Thermophoresis parameter, Nt Brownian motion parameter, Nb and buoyancy-ratio parameter, Nr), an artificial neural network (ANN) is developed, trained, and tested by numerically simulated data. The dependence of the reduced Nusselt number on these parameters is represented through a linear regression correlation.

Keywords:

Artificial Neural Network,Brownian Motion,Isothermal Vertical Plate,Natural Convection,Nanofluid,Porous Medium,Thermophoresis.,

Refference:

I. A Mitra, : “Consequence of Modified Boundary Condition On Natural Convection in a Porous Medium Saturated by Nanofluid – A Computational Approach”, IOP Conf. Series: Earth Environ. Sci., 1-9, 785, 2021.
II. D. A. Nield and A. V. Kuznetsov, : “The Cheng-Minkowycz Problem for Natural Convective Boundary Layer Flow in a Porous Medium Saturated by a Nanofluid.” International Journal of Heat and Mass Transfer, vol. 52, pp. 5792–5795, 2009.
III. D. A. Nield and A. V. Kuznetsov, : “Thermal Instability in a Porous Medium Layer Saturated by a Nanofluid.” International Journal of Heat and Mass Transfer. vol. 52, pp. 5796–5801, 2009.
IV. J. A. Ujong, E. M. Mbadike, and G. U. Alaneme, : “Prediction of cost and duration of building construction using artificial neural network”, Asian Journal of Civil Engineering. 23, 1117–1139 (2022).
V. J. Buongiorno, : “Convective transport in nanofluids.” ASME J. Heat Transf. 128 (2006) 240–250.
VI. K.-T. Yang, : “Artificial Neural Networks (ANNs): A New Paradigm for Thermal Science and Engineering”, Journal of Heat Transfer. 130, 093001-1-19 (2008).
VII. M. H. Esfe, M. H. Kamyab and D. Toghraie, : “Statistical review of studies on the estimation of thermophysical properties of nanofluids using artificial neural network (ANN).” Powder Technology. 400, 117210 (2022).
VIII. P. Cheng, and W. J. Minkowycz, : “Free Convection about a Vertical Flat Plate Embedded in a Saturated Porous Medium with Applications to Heat Transfer from a Dike.” Journal of Geophysics Research. vol. 82, pp. 2040–2044, 1977. 7.
IX. P. Ranganathan and R. Viskanta, : “Mixed Convection Boundary Layer Flow along a Vertical Surface in a Porous Medium.” Numerical Heat Transfer. vol. 7, pp. 305–317, 1984.
X. R. S. R. Gorla and R. Tornabene, : “Free Convection from a Vertical Plate with Non-uniform Surface Heat Flux and Embedded in a Porous Medium.” Transport in Porous Media. vol. 3, pp. 95–106, 1988.
XI. R. S. R. Gorla and A. Zinolabedini, : “Free Convection from a Vertical Plate with Nonuniform Surface Temperature and Embedded in a Porous Medium, Transactions of ASME.” Journal of Energy Resources Technology. vol. 109, pp. 26–30, 1987.
XII. S. Choi, : “Enhancing thermal conductivity of fluids with nanoparticle in: D. A. Siginer, H. P. Wang (Eds.), Developments and Applications of Non-Newtonian Flows.” ASME MD vol. 231 and FED. vol. 66, 1995, pp. 99–105.
XIII. V. Gholami and H. Sahour, : “Simulation of rainfall-runoff process using an artificial neural network (ANN) and field plots data”, Theoretical and Applied Climatology. 147, 87–98 (2022).
XIV. W. J. Minkowycz, P. Cheng, and C.H. Chang, : “Mixed Convection about a Nonisothermal Cylinder and Sphere in a Porous Medium.” Numerical Heat Transfer. vol. 8, pp. 349–359, 1985.

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A NUMERICAL STUDY ON THE REDUCTION OF GREENHOUSE GASEOUS COMPONENT (CO2) DUE TO THE ADDITION OF H2 IN THE FUEL STREAM OF THE COUNTERFLOW CH4/AIR DIFFUSION FLAME

Authors:

Akter Hossain

DOI NO:

https://doi.org/10.26782/jmcms.2023.12.00001

Abstract:

In this study, a series of 1-D and steady-state numerical simulations have been performed for the prediction of the effect of the addition of H2 on the characteristics of a non-sooting counterflow CH4/Air diffusion flame using detailed chemical reaction model, which is composed of 325 elementary chemical reactions and 53 chemical species. Under the steady-state assumption, a set of one-dimensional transport equations of mass, momentum, species, and energy along with the equation of state has been solved numerically at the atmospheric conditions over the counterflow configuration by exploiting an efficient numerical code, OPPDIF (a Fortran Program for Computing Opposed-Flow Diffusion Flames). The grid adaption technique has been used to achieve better convergence as well as to ensure the maximum accuracy of the simulated results. It is found that the flame temperature is increased due to the addition of H2 with CH4, which is injected into the fuel stream. The elevation in the temperature is caused by the augmentation of the integrated heat release rate of the elementary reactions supported by the active radicals (H, O, and OH), which are generated by the higher reactivity of H2. Besides, it is found that the mole fractions of H2O are increased as the percentage of H2 in the loading fuel (CH4) is increased and also, it is identified that the chain propagating reaction, OH + H2 => H2O + H is dominating one which produces highest amount of H2O. Furthermore, it is noticed that the indirect greenhouse gas or precursor, CO is reduced when H2 is added to CH4. Consequently, the mole fraction of the principle greenhouse gas, CO2 is decreased significantly when the fuel, CH4 percentage is modified by the higher percentage of H2. The sensitivity analysis of elementary reactions reveals the fact that the chemical reaction: OH + CO => H + CO2 is a dominating reaction in producing a lower amount of CO2 when the volume fraction of H2 is increased in the fuel (CH4) stream. In the presence of 75 % H2 in CH4, the pressure-dependent reaction, O + CO (+M) => CO2 (+M) appears as another chemical route that also generates greenhouse gas, CO2 but its contribution is negligibly small.

Keywords:

Numerical simulation,Methane,Counterflow diffusion flame,Green fuel (H2),Greenhouse gas (CO2),

Refference:

I. Deng, S. Mueller, M. E., Chan, Q. N., Qamar, N. H., Dally, B. B., Alwahabi, Zeyad, T., Nathan, G. J., : ‘Hydrodynamic and chemical effects of hydrogen addition on soot evolution in turbulent nonpremixed bluff body ethylene flames.’ Proc. Combust. Inst., 36 (1), 807-814 (2017). 10.1016/j.proci.2016.09.004
II. Granata S, Faravelli T, Ranzi E, Nesrin, O., Selim, S., : ‘Kinetic Modeling of counterflow diffusion flames of butadiene.’ Combust. and Flame, 131, 273–284 (2002). 10.1016/S0010-2180(02)00407-8

III. Guo, H., Liu, F., Smallwood, G. J., : ‘A numerical study of the influence of hydrogen addition on soot formation in a laminar counterflow ethylene/oxygen/nitrogen diffusion flame.’ ASME Int. Mechanical, 10.1115/IMECE2004-59407

IV. Hossain A., Nakamura Y., : ‘A numerical study on the ability to predict the heat release rate using CH* chemiluminescence in non-sooting counterflow diffusion flames.’ Combust. Flame, 161, 162–172 (2014). 10.1016/j.combustflame.2013.08.021
V. Kenneth K. Kuo, Ragini Acharya, : ‘Fundamentals of Turbulent and Multiphase Combustion.’ John Wiley & Sons, Inc. (2012). 10.1002/9781118107683

VI. Liu, F., Smallwood, G. J., Gülder, Ö. L., : ‘Numerical study on the influence of hydrogen addition on soot formation in a laminar ethylene–air diffusion flame.’ Combust. and Flame, 145 (1-2), 324-338 (2006). 10.1016/j.combustflame.2005.10.016

VII. Lutz, A., Kee R. J., Grcar, Rupley, : ‘A Fortran Program Computing opposed flow diffusion flame.’ SAND96-8243, Sandia National Laboratories, Livermore, CA, USA, (1997). 10.2172/568983
VIII. Miao, J., Leung, C.W., Cheung, C. S. Huang, Z.H., Zhen, H.S., : ‘Effect of hydrogen addition on overall pollutant emissions of inverse diffusion flame.’ Energy, 104 (1), 284 – 294, (2016). 10.1016/j.energy.2016.03.114

IX. Pandya, T. P., Srivastava, N. K., : ‘Counterflow diffusion flame of ethyl alcohol.’ Combust. Sci. Tech., 5, 83–88 (1972). 10.1080/00102207208952507

X. Pandya T. P., Srivastava, N. K., : ‘Structure of counterflow diffusion flame of ethanol.’ Combust Sci. Tech. 11, 165–180 (1975). 10.1080/00102207508946697
XI. Som, S, Ramirez, A. I, Hagerdorn J, Saveliev, A., Aggarwal, S. K., : ‘A numerical and experimental study of counterflow syngas flames at different pressures.’ Fuel, 87, 319–334(2008).

XII. Sun, C. J, Sung, C. J, Wang H, Law, C. K., : ‘On the structure of non-sooting counterflow ethylene and acetylene diffusion flames.’ Combust. and Flame, 107, 321–335 (1996).

XIII. Tsuji, H. : ‘Counter flow diffusion flames. Prog. Energy.’ Combust Sci., 8, 93–119(1982)

XIV. Wang, Y., Liu, X., Gu, M., Xueliang, : ‘A. Numerical simulation of the effects of hydrogen addition to fuel on the structure and soot formation of a laminar axisymmetricco-flow C2H4/(O2-CO2) diffusion flame.’ Combust. Sci. Tech., 191 (10), 1743-1768 (2019).
XV. Yadav, V. K., Yadav, J. P., Ranjan, P., : ‘Numerical and experimental
investigation of hydrogen enrichment effect on the combustion characteristics of biogas.’ Int. journal of renewable energy research, Vol.8 (3) September, 2018. 10.20508/ijrer.v8i3.7562.g7426
XVI. Zhu, Y., Wu, Jiajia, Zhu, B., Wang, Y., Gu, M., : ‘Experimental study on the effect of hydrogen addition on methane/ethylene diffusion flame soot formation based on light extinction measurement.’ Energy Reports, 7, 673-683 (2021). 10.1016/j.egyr.2021.09.203
XVII. GRI-Mech 3.0 (berkeley.edu) : http://combustion.berkeley.edu/gri- mech/version30 /text30.html

XVIII. Hydrogen production through electrolysis – H2 Bulletin : https://www.h2bulletin.com/knowledge/hydrogen-production-through-electrolysis/

XIX. GSA. Natural Gas; available at
http://www.naturalgas.org/overview/background.asp

XX. https://www.ipcc.ch/report/ar3/wg1/chapter-4.: Atmospheric Chemistry and Greenhouse Gases.

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OPTIMAL POLICY OF THE INTERVAL EPQ MODEL USING C-L INTERVAL INEQUALITY

Authors:

Rukhsar Khatun, Goutam Chakraborty, Md Sadikur Rahman

DOI NO:

https://doi.org/10.26782/jmcms.2023.12.00002

Abstract:

The objective of this work is to study the optimal policy of the classical economic production quantity (EPQ) model under interval uncertainty using interval inequality. To serve this purpose existing arithmetic mean-geometric mean (AM-GM) inequality is extended for interval numbers using c-L interval order relation. Then, using the said AM-GM interval inequality, the optimal policy of the classical EPQ model in the interval environment is developed.  Thereafter, the optimality policy of the classical EPQ model in a crisp environment is obtained as a special case of that of the interval environment. Finally, all the optimality results are illustrated with the help of some numerical examples.

Keywords:

Interval order relation,Generalised AM-GM inequality,c-L minimizer,Interval EPQ,c-L optimal policy,

Refference:

I. Bhunia, A. K., & Samanta, S. S., : ‘A study of interval metric and its application in multi-objective optimization with interval objectives.’ Computers & Industrial Engineering, 74, (2014), 169-178. 10.1016/j.cie.2014.05.014
II. Cardenas-Barron L. E., : ‘The economic production quantity (EPQ) with shortages derived algebraically.’ International Journal of Production Economics, 70, (2001), 289-292. 10.1016/S0925-5273(00)00068-2
III. Das, S., Rahman, M. S., Shaikh, A. A., Bhunia, A. K., & Ahmadian, A., : ‘Theoretical developments and application of variational principle in a production inventory problem with interval uncertainty.’ International Journal of Systems Science: Operations & Logistics, (2022), 1-20. 10.1080/23302674.2022.2052377
IV. Gani, A. N., Kumar, C. A., & Rafi, U. M., : ‘The Arithmetic Geometric Mean (AGM) inequality approach to compute EOQ/EPQ under Fuzzy Environment.’ International Journal of Pure and Applied Mathematics, 118(6), (2018), 361-370.
V. Grubbstrom. R. W., : ‘Material requirements planning and manufacturing resource planning.’ in: Warner. M (Ed.) International Encyclopaedia of Business and Management, Vol.4 Routledge, London, (1996), 3400-3420.
VI. Grubbstrom. R. W. & Erdem. A., : ‘The EOQ with back logging derived without derivatives.’ International Journal of Production Economics, 59, (1999), 529-530. 10.1016/S0925-5273(98)00015-2
VII. Manna, A. K., Rahman, M. S., Shaikh, A. A., Bhunia, A. K., & Konstantaras, I., : ‘Modeling of a carbon emitted production inventory system with interval uncertainty via meta-heuristic algorithms.’ Applied Mathematical Modelling, 106, (2022), 343-368. 10.1016/j.apm.2022.02.003
VIII. Moore, R. E., Kearfott, R. B., & Cloud, M. J., : ‘Introduction to interval analysis.’ Society for Industrial and Applied Mathematics.
IX. Rahman, M. S., Shaikh, A. A. & Bhunia, A. K., : ‘On the space of Type-2 interval with limit, continuity and differentiability of Type-2 interval-valued functions.’ (2019), arXiv preprint arXiv:1907.00644.
X. Rahman, M. S., Duary, A., Shaikh, A. A., & Bhunia, A. K., : ‘An application of parametric approach for interval differential equation in inventory model for deteriorating items with selling-price-dependent demand.’ Neural Computing and Applications, 32, (2020), 14069-14085.
XI. Rahman, M. S., Shaikh, A. A., & Bhunia, A. K., : ‘On Type-2 interval with interval mathematics and order relations: its applications in inventory control.’ International Journal of Systems Science: Operations & Logistics, 8(3), (2021), 283-295. 10.1080/23302674.2020.1754499
XII. Rahman, M. S., & Khatun, R., : ‘Generalised Arithmetic Mean-Geometric Mean Inequality And Its Application To Find The Optimal Policy Of The Classical EOQ Model Under Interval Uncertainty.’ Applied Mathematics E-Notes, 23, (2023), 90-99.
XIII. Stefanini, L., & Bede, B., : ‘Generalized Hukuhara differentiability of interval-valued functions and interval differential equations.’ Nonlinear Analysis: Theory, Methods & Applications, 71(3-4), (2009), 1311-1328. 10.1016/j.na.2008.12.005

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PERFORMANCE ANALYSIS OF OPTICAL PARALLEL FULL ADDER USING ARTIFICIAL NEURAL NETWORK

Authors:

Arunava Bhattacharyya, Asish Mitra

DOI NO:

https://doi.org/10.26782/jmcms.2023.12.00003

Abstract:

A verbal exchange today wishes for quick operational progress. This can be accomplished by replacing devices that are primarily concerned with commutation and logic with photon-based systems instead of the usual data service, the electron. The basic building blocks of superior frames are called gates. With the aid of these gates, various logical and mathematical operations can be performed. All-optical arithmetical and logical processes are eagerly expected in high-speed dialogue frameworks. In this chapter, we've introduced parallel models for adding two binary digits that are based on Sagnac gates with help from semiconductor optical amplifiers (SOA) and terahertz optical asymmetric demultiplexers (TOAD). We created a Full adder that works in parallel using only two TOADs as total switches. Using artificial neural networks (ANN), we have created a model of this circuit that is equivalent. Utilizing ANN, this circuit design has been validated. This optical circuit is now capable of synthesizing light as an input and successfully structuring the aspiration output in addition to speeding up calculation. This parallel circuit's biggest advantage is that it doesn't need synchronization for distinct inputs. An ANN model was used to analyze this circuit's performance in detail.

Keywords:

artificial neural networks,optical logic,semiconductor optical amplifier,Terahertz optical asymmetric demultiplexer,

Refference:

I. A. Bhattacharyya, D. K. Gayen, and T. Chattopadhyay, : ‘Alternative All-optical Circuit of Binary to BCD Converter Using Terahertz Asymmetric Demultiplexer Based Interferometric Switch.’ in Proceedings of 1st International Conference on Computation and Communication Advancement (IC3A–2013).
II. A. Poustie, K. J. Blow, A. E. Kelly, and R. J. Manning, : ‘All-optical full-adder with bit differential delay.’ Optics Communications 168 (1-4), 89–93 (1999). 10.1016/S0030-4018(99)00348-X
III. A. Ryou, J. Whitehead, M. Zhelyeznyakov, P. Anderson, C. Keskin, M. Bajcsy, and A. Majumdar, : ‘Free-space optical neural network based on thermal atomic nonlinearity.’ Photonics Research 9 (4), B128–B134 (2021). 10.1364/PRJ.415964
IV. A. Yariv and P. Yeh, : ‘Photonics: Optical Electronics in Modern Communications.’ Oxford University Press, UK, 6th Edition (2007).
V. B. Wang, V. Baby, W. Tong, L. Xu, M. Friedman, R. Runser, I. Glesk, and P. Prucnal, : ‘A novel fast optical switch based on two cascaded terahertz optical asymmetric demultiplexers (TOAD).’ Optics Express 10(1), 15–23 (2002). 10.1364/OE.10.000015
VI. D. K. Gayen, J. N. Roy, C. Taraphdar, and R. K. Pal, : ‘All-optical reconfigurable logic operations with the help of terahertz optical asymmetric demultiplexer.’ International Journal for Light and Electron Optics 122 (8), 711–718 (2011). 10.1016/j.ijleo.2010.04.024
VII. D. K. Gayen, T. Chattopadhyay, M. K. Das, J. N. Roy, and R. K. Pal, : ‘All-optical binary to gray code and gray to binary code conversion scheme with the help of semiconductor optical amplifier -assisted sagnac switch.’ IET Circuits, Devices & Systems 5 (2), 123–131 (2011). 10.1049/iet-cds.2010.0069
VIII. D. K. Gayen, : Optical arithmetic operation using optical demultiplexer. Circuits and Systems.’ Scientific Research, 7(11), 3485–3493 (2016). 10.4236/cs.2016.711296
IX. D. K. Gayen, ‘All-Optical 3:8 Decoder with the Help of Terahertz Optical Asymmetric Demultiplexer.’ Optics and Photonics Journal, 6 (7), 184–192, July (2016). 10.4236/opj.2016.67020
X. D. K. Gayen, : ‘Optical parallel half adder using semiconductor optical amplifier-assisted Sagnac gates.’ Journal of Mechanics of Continua and Mathematical Sciences, 17 (4), 1-7, April (2022). 10.26782/jmcms.2022.04.00001
XI. H. L. Minh, Z. Ghassemlooy, and W. P. Ng, “ ‘Characterization and performance analysis of a TOAD switch employing a dual control pulse scheme in high speed OTDM demultiplexer.’ IEEE Communications Letters 12 (4), 316–318 (2008). 10.1109/LCOMM.2008.061299
XII. J. H. Kim, S. H. Kim, C. W. Son, S. H. Ok, S. J. Kim, J. W. Choi, Y. T. Byun, Y. M. Jhon, S. Lee, D. H. Woo, and S. H. Kim, : ‘Realization of all-optical full-adder using cross-gain modulation.’ in Proceedings of the Conference on Semiconductor Lasers and Applications, SPIE 5628, 333–340 (2005). 10.1117/12.576410
XIII. J. Zhou, B. Huang, Z. Yan and J-C. G. Bünzli, Emerging role of machine learning in light-matter interaction. Light Science & Application 8, 84 (2019). 10.1038/s41377-019-0192-4
XIV. J. P. Sokoloff, P. R. Prucnal, I. Glesk, and M. Kane, : ‘A terahertz optical asymmetric demultiplexer (TOAD).’ IEEE Photonics Technology Letters 5 (7), 787–790 (1993). 10.1109/68.229807
XV. J. Gowar, : ‘Optical Communication System.’ Prentice Hall of International Limited, UK, 2nd Edition (1993).
XVI. K. E. Zoiros, J. Vardakas, T. Houbavlis, and M. Moyssidis, : ‘Investigation of SOA-assisted Sagnac recirculating shift register switching characteristics.’ International Journal for Light and Electron Optics 116 (11), 527–541 (2005). 10.1016/j.ijleo.2005.03.005
XVII. K. E. Zoiros, P. Avramidis, and C. S. Koukourlis, : ‘Performance investigation of semiconductor optical amplifier based ultra-fast nonlinear interferometer in nontrivial switching mode.’ Optical Engineering 47 (11), 115006–11 (2008). 10.1117/1.3028348
XVIII. K. Mukherjee, : ‘Method of implementation of frequency encoded all-optical half- adder, half-subtractor, and full-adder based on semiconductor optical amplifiers and add drop multiplexers.’ International Journal for Light and Electron Optics. 122 (13), 1188–1194 (2011). 10.1016/j.ijleo.2010.07.026
XIX. M Suzuki, H. Uenohara, : ‘Invesigation of all-optical error detection circuitusing SOA-MZI based XOR gates at 10 Gbit/s.’ Electron. Lett, 45 (4), 224–225 (2009). 10.1049/el:20093461
XX. P. Li, D. Huang, X. Zhang, and G. Zhu, : ‘Ultra-high speed all-optical half-adder based on four wave mixing in semiconductor optical amplifier.’ Optics Express, 14 (24), 11839–47 (2006). 10.1364/OE.14.011839
XXI. P. Ghosh, D. Kumbhakar, A. K. Mukherjee, and K. Mukherjee, : ‘An all-optical method of implementing a wavelength encoded simultaneous binary full-adder-full-subtractor unit exploiting nonlinear polarization rotation in semiconductor optical amplifier.’ International Journal for Light and Electron Optics 122 (19), 1757–1763 (2011). 10.1016/j.ijleo.2010.10.039
XXII. Q. Wang, G. Zhu, H. Chen, J. Jaques, J. Leuthold, A. B. Piccirilli, and N. K. Dutta, : ‘Study of all-optical XOR using Mach-Zehnder interferometer and differential scheme.’ IEEE Journal of Quantum Electronics 40 (6), 703–710 (2004). 10.1109/JQE.2004.828261
XXIII. S. Mukhopadhyay and B. Chakraborty, : ‘A method of developing optical half- and full-adders using optical phase encoding technique.’ in Proceedings of the Conference on Communications, Photonics, and Exhibition (ACP), TuX6, 1–2 (2009).
XXIV. T. Wang, S.-Y. Ma, L. G. Wright, T. Onodera, B. C. Richard and P. L. McMahon, : ‘An optical neural network using less than 1 photon per multiplication.’ Nature Communications 13 (123), 1–8 (2022).
XXV. X. Lin, Y. Rivenson, N. T. Yardimci, M. Veli, Y. Luo, M. Jarrahi, and A. Ozcan, : ‘All-optical machine learning using diffractive deep neural networks.’ Science, 361 (6406), 1004–1008 (2018). 10.1126/science.aat8084
XXVI. X. Wu, J. A. Jargon, L. Paraschis and A. E. Willner, : ‘ANN-Based Optical Performance Monitoring of QPSK Signals Using Parameters Derived From Balanced-Detected Asynchronous Diagrams.’ IEEE Photonics Technology Letters 23 (4), 248–250 (2011). 10.1109/LPT.2010.2098025
XXVII. W. Gao, L. Lu, L. Zhou, and J. Chen, : ‘Automatic calibration of silicon ring-based optical switch powered by machine learning.’ Opt. Express 28 (7), 10438–10455 (2020). 10.1364/OE.388931
XVIII. Z. Yu, X. Zhao, S. Yang, H. Chen and M. Chen, : ‘Binarized Coherent Optical Receiver Based on Opto-Electronic Neural Network.’ IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 1–9 (2020). 10.1109/JSTQE.2019.2931251

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RELIABILITY OPTIMIZATION OF A DEGRADED SYSTEM UNDER PREVENTIVE MAINTENANCE USING GENETIC ALGORITHM

Authors:

Shakuntla Singla, Diksha Mangla, Poonam Panwar, S Z Taj

DOI NO:

https://doi.org/10.26782/jmcms.2024.01.00001

Abstract:

The reliability parameters of a Mathematical model are analyzed for a system with three identical units and a standby. In this study, the primary unit is considered more important due to its high cost and working in two types of degraded conditions before a complete malfunction. Under the concept of preventive maintenance, the states of deterioration are reversed. The working of the system under two different efficiencies is discussed. The reliability of the Mathematical model, depending on the availability and working time, has been optimized using the Mathematical tool “Genetic Algorithm”. The optimum values of all parameters based on the exponential distribution are considered to optimize the reliability, and thus provide maximum benefits to the industry. Sensitivity analysis of the availability and the working time is carried out to understand the effects of changing parameters. Graphical and tabular analyses are presented to discuss the results and to draw conclusions about the system’s behavior.

Keywords:

deteriorated state,genetic algorithm,malfunction rate,preventive maintenance,regenerative point graphical technique,sensitivity analysis,

Refference:

I. Bhunia, A.K. and Sahoo, L. (2011). Genetic algorithm based reliability optimization in interval environment. In: Nedjah, N., dos Santos Coelho, L., Mariani, V.C., de Macedo Mourelle, L. (eds) Innovative Computing Methods and Their Applications to Engineering Problems. Studies in Computational Intelligence, 357. Springer, Berlin, Heidelberg.

II. Kumar, J., Bansal, S.A., Mehta, M. and Singh, H. (2020). Reliability analysis in process industries – an overview. GIS Sci J., 7(5), 151-168.
III. Kumari, K. and Poonia, M.S. (2023). Availability optimization of cylinder block in cast iron manufacturing plant using GA. European Chemical Bulletin, 12(4), 17784-17792.

IV. Kumari, S., Khurana, P. and Singla, S. (2022). Behaviour and profit analysis of a thresher plant under steady state. International Journal of System Assurance Engineering and Management, 13, 166-171.

V. Kumari, S., Singla, S. and Khurana, P. (2022). Particle swarm optimization for constrained cost reliability of rubber plant. Life Cycle Reliability and Safety Engineering, 11(3), 273-277.

VI. Malik, S., Verma, S., Gupta, A., Sharma, G. and Singla, S. (2022). Performability evaluation, validation and optimization for the steam generation system of a coal-fired thermal power plant. MethodsX, 9.

VII. Naithani, A., Khanduri, S. and Gupta, S. (2022). Stochastic analysis of main unit with two non-identical replaceable sub-units working with partial failure. International Journal of System Assurance Engineering and Management, 13, 1467-1473.

VIII. Naithani, A., Parashar, B., Bhatia, P.K. and Taneja G. (2013). Cost benefit analysis of a 2-out-of-3 induced draft fans system with priority for operation to cold standby over working at reduced capacity. Advanced Modelling and Optimization, 15(2), 499-509.

IX. Sachdeva, K., Taneja, G, and Manocha, A. (2022). Sensitivity and economic analysis of an insured system with extended conditional warranty. Reliability: Theory and Applications, 17, 24–31.

X. Singla, S. and Dhawan, P. (2022). Mathematical analysis of regenerative point graphical technique (RPGT). Mathematical Analysis and its Contemporary Applications, 4(4), 49-56.

XI. Taj, S. Z. and Rizwan, S. M. (2022). Reliability analysis of a 3-unit parallel system with single maintenance facility. Advanced Mathematical Models & Applications, 7(1), 93-103.

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CONSTRUCTION OF A SPLINE FUNCTION WITH MIXED NODE VALUES

Authors:

Rama Nand Mishra, Akhilesh Kumar Mishra, Kulbhushan Singh

DOI NO:

https://doi.org/10.26782/jmcms.2024.01.00002

Abstract:

The present paper deals with the lacunary interpolation problem called the mixed values problem or (0, 3; 0, 2) problem for which known data points are function values at all the points, third derivatives at even knots, and second derivatives at odd knots of the unit interval I = [0,1]. For this problem, we obtained an interpolating function. The paper is divided into two parts, where we have shown that the spline function exists and is convergent.

Keywords:

Lacunary interpolation,spline functions,Taylor expansion,modulus of continuity,error bounds,convergence of function,

Refference:

I. Ahlberg, J. H. Nilson, E. N. and Walsh, J. L. The theory of Splines and their Applications, Academic Press, New York, 1967.
II. Burkett, J. and Verma, A.K. On Birkhoff Interpolation (0;2) case, Aprox. Theory and its Appl. (N.S.) 11(2), 59-66, 1995.
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A NOVEL HYBRID HARMONY SEARCH (HS) WITH WAR STRATEGY OPTIMIZATION (WSO) FOR SOLVING OPTIMIZATION PROBLEMS

Authors:

Sameerah Khaleel, Hegazy Zaher, Naglaa Ragaa Saeid

DOI NO:

https://doi.org/10.26782/jmcms.2024.01.00003

Abstract:

The usage of nature-inspired meta-heuristic algorithms is increasing due to their simplicity and versatility. These algorithms are widely used in numerous domains, especially in scientific fields such as operations research, computer science, artificial intelligence, and mathematics. Based on the core principles of exploration and exploitation, they provide flexible problem-solving abilities. This study presents a novel method to improve the effectiveness of the War Strategy Optimization (WSO) algorithm for optimization issues. The suggested approach combines the WSO technique with the Harmony Search (HS) algorithm, resulting in a hybrid algorithm called H-WSO. The aim is to enhance the overall optimization performance by leveraging the capabilities of both algorithms through the integration of swarm intelligence approaches.     In order to assess the effectiveness of the recently suggested H-WSO algorithm, a set of experiments was carried out on 50 benchmark test functions. These functions included both unimodal and multimodal functions and spanned across different dimensions. The findings from these studies clearly showed a notable enhancement in the efficiency of the H-WSO algorithm when compared to the original WSO algorithm. Various metrics were utilized to evaluate the effectiveness of the proposed algorithm, including the optimal fitness function value (Mean), Standard Deviation (St.d), and Median. The H-WSO algorithm regularly shows higher efficiency than the WSO algorithm, making it a promising and practical approach for addressing complicated optimization challenges

Keywords:

Meta-heuristic Algorithms,War Strategy Optimization algorithm,Harmony Search algorithm,Hybrid method,

Refference:

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ADVANCED THERMOCOUPLE LINEARIZATION METHOD USING ADVANCED POLYNOMIAL FITTING

Authors:

Nilanjan Byabarta, Abir Chatterjee, Swarup Kumar Mitra

DOI NO:

https://doi.org/10.26782/jmcms.2024.01.00004

Abstract:

In this study, this paper presents a new method for linearizing thermocouple data using Python and compares the performance of higher-order polynomial models in achieving linearization. It involves fitting a non-linear model to the thermocouple data using the curve fit function from Python and then calculating the linearized temperature values using the optimized parameters. The paper also presents a comparative analysis of different polynomial models, ranging from 3rd to 12th order, and evaluates their performance in achieving linearization. The results show that higher-order polynomial models generally perform better than lower-order models in achieving linearization, but also have a higher risk of overfitting. The paper concludes that the presented method provides an effective way of linearizing thermocouple data using Python and that the choice of polynomial model should be carefully considered based on the data characteristics and the desired level of accuracy.

Keywords:

Sensor,Linearization,curve fitting,non-linearity,Thermocouple,Python,

Refference:

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STATE OF ART ON MICROSTRIP RESONATORS, FILTERS, DIPLEXERS AND TRIPLEXERS

Authors:

Yaqeen S. Mezaal, Shahad K. Khaleel, Aqeel A. Al-Hillal, Adham R. Azeez,, Mohammed S. Hemza, Kadhum Al-Majdi

DOI NO:

https://doi.org/10.26782/jmcms.2024.02.00001

Abstract:

In today's world, communication is essential for various aspects of life. From military operations and medical systems to community networks, communication plays a crucial role in ensuring the smooth functioning of these applications. With the advancement of technology, communication has become more efficient and has significantly reduced the barriers of distance, bringing people and nations closer together. One of the key components of modern communication systems is microstrip devices. These devices are used in a wide range of applications, including filters, diplexers, and triplexers. Filters are used to selectively allow certain frequencies to pass through while blocking others, making them essential for signal processing and interference reduction in communication systems. Diplexers and triplexers are used to combine or separate multiple signals, allowing for more efficient use of the available frequency spectrum. This article aims to provide an overview of the state-of-the-art microstrip devices used in communication systems. It will review previous studies and advancements in the field, providing insights into the latest developments and technologies. By understanding the current state of research and development in microstrip devices, engineers and researchers can gain valuable knowledge to improve the performance and efficiency of communication systems. Furthermore, the article will explore the potential applications of microstrip devices in various communication systems, such as satellite communications, wireless networks, and radar systems. Understanding the capabilities and limitations of these devices will be crucial for optimizing their performance in different scenarios. Overall, this article will serve as a comprehensive resource for anyone interested in the role of microstrip devices in communication systems. Delving into the scope of filters, diplexers, and triplexers, will provide valuable insights into the advancements and potential future developments in this important area of technology.

Keywords:

Microstrip,Bandpass Filter,Diplexer,Triplexer,

Refference:

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VII. A. Rezaei and L. Noori, “Novel low-loss microstrip triplexer using coupled lines and step impedance cells for 4G and WiMAX applications,” Turkish J. Electr. Eng. Comput. Sci., vol. 26, no. 4, pp. 1871–1880, 2018, doi: 10.3906/elk-1708-48.
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DEVELOPMENT OF A THEORETICAL MODEL TO ESTIMATE THE EROSION WEAR RATE OF POLYMER COMPOSITES

Authors:

Raffi Mohammed, C Sailaja, Subhani Mohammed, Kiran Kumar Bunga

DOI NO:

https://doi.org/10.26782/jmcms.2024.02.00002

Abstract:

Nowadays Polymeric materials reinforced with synthetic fibers play an incredible role in almost all spheres of day-to-day life due to their elevated stiffness, outstanding strength-to-weight ratio, and electrical, thermal, and wear properties. The accumulation of micro-fillers or particulates in polymeric components reinforced with fibers made from synthetic materials may enhance their properties compared to fiber-reinforced composites. Solid particle erosion of engineering components made up of polymer composites is a major industrial problem, and it is significantly affected by the components' mechanical characteristics and their working environment. Therefore, it's essential to research the polymer composites' solid particle erosion properties. One area that has attracted less research attention is the impact of particle fillers and E-glass fiber reinforcing on erosion wear characteristics. Because of its significance to science and industry, research in this area is especially needed about particle fillers. Furthermore, to properly design a machine or structural component and use materials that will increase wear resistance, one must have a thorough grasp of how every system variable affects wear rate. In this research article, to estimate the erosion damage induced by solid particle impact on composites without conducting the experiment on an air jet erosion test rig, a theoretical model is proposed. The successful implementation of this theoretical model can reduce the experimentation cost with good quantitative accuracy.

Keywords:

Erosion,Erosion Modeling,Air-jet erosion test rig,Operating Parameters,Theoretical Model,

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AI FOR INFANT WELL-BEING: ADVANCED TECHNIQUES IN CRY INTERPRETATION AND MONITORING

Authors:

Ananjan Maiti, Chiranjib Dutta, Jyoti Sekhar Banerjee, Panagiotis Sarigiannidis

DOI NO:

https://doi.org/10.26782/jmcms.2024.02.00003

Abstract:

In order to improve the welfare of newborns, this study investigates the use of sound-recognition-based artificial intelligence (AI) approaches to the interpretation and monitoring of infant screams. Crying has long been a problem because it is the primary means of communication between infants and caregivers. The limitations of conventional interpretation techniques are discussed. These limitations include the subjective nature of interpretation and the inability to detect subtle variations in crying patterns. The goal of the research is to categorize crying patterns based on the cries of male and female infants and identify noises that are a sign of distress. The study utilized the Mel Frequency Cepstral Coefficients (MFCC) method to extract features from internet-sourced MP3 and WAV audio data. The technique successfully captured the unique qualities of each crying sound using various machine-learning models, including Random Forest and XGBoost. These models outperformed others with accuracy rates of 94.5% and 94.2%, respectively. These findings show how well these algorithms perform in correctly categorizing various newborn cries. The findings of this study establish the platform for possible Internet of Things (IoT) and healthcare framework implementations targeted at supporting parents in caring for their newborns by offering an insightful understanding of the distinctive vocalizations connected with weeping.

Keywords:

infant cry interpretation,machine learning,artificial intelligence,infant monitoring,real-time systems,privacy concerns,XGBoost,

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XLV. R. Gupta, M. H. Choudhury, M. Mahmud, & J. S. Banerjee: Patent Analysis on Artificial Intelligence in Food Industry: Worldwide Present Scenario. In Doctoral Symposium on Human Centered Computing (pp. 347-361). Singapore: Springer Nature Singapore (2023).
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HARNESSING CLOUD OF THING AND FOG COMPUTING IN IRAQ: ADMINISTRATIVE INFORMATICS SUSTAINABILITY

Authors:

Mohammed Q. Mohammed, Yaqeen S. Mezaal, Shahad K. Khaleel

DOI NO:

https://doi.org/10.26782/jmcms.2024.02.00004

Abstract:

This article provides an overview of cloud computing and fog computing, as well as a discussion of the potential applications of these technologies in Iraq. The ability of cloud computing to provide scalable and adaptable computer resources on demand has led to a significant uptick in interest in this computing model all around the world. However, fog computing improves cloud computing by moving computation to devices that are positioned on the edge of a network. This research investigates the up-to-date applications of cloud computing and fog computing in Iraq, as well as the challenges that have been faced and the potential applications of these technologies in the future, particularly in the areas of agriculture, transportation, and healthcare. The use of questionnaires in research will be the topic of discussion in this study. This is made up of two different parts that work separately. In the first part of our survey, we ask respondents questions about their level of expertise with direct and indirect cloud on object and fog computing. The remaining aspects of the investigation are dissected in Part 2 of the study. These inquiries are in accordance with concerns regarding the complexity of the implementation process, the size and culture of an organization, practicability, compliance with legislation, compatibility with current systems, and support from the government. The final open-ended inquiry of the survey will assist us in compiling a wide variety of opinions on the types of cloud-on-object and fog computing services that are required by the Iraqi government.

Keywords:

Cloud of Thing,Fog Computing,Governmental support,Administrative Informatics Sustainability,

Refference:

I. D. G. Bonett, T. A. Wright, “Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning,” Journal of Organizational Behavior 36, no. 1, pp. 3-15, 2015.
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III. F. F. S. Al-Bajjari, “A model for adopting cloud computing in government sector: Case study in Iraq” (Master’s thesis, Çankaya Üniversitesi).
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V. H. F. Atlam, R. J. Walters, & G. B. Wills, “Fog computing and the internet of things: A review,” Big Data and Cognitive Computing, vol. 2, no. 2, pp.10, 2018.
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VII. M. Amini, A. Bakri, “Cloud computing adoption by SMEs in Malaysia: A multi-perspective framework based on DOI theory and TOE framework,” Journal of Information Technology & Information Systems Research (JITISR), vol. 9, no. 2, pp. 121-135, 2015.
VIII. M. S. Shareef, Y. S. Mezaal, N. H. Sultan, S. K. Khaleel, A. A. Al-Hillal, H. M. Saleh, … & K. Al-Majdi, “Cloud of Things and fog computing in Iraq: Potential applications and sustainability,” Heritage and Sustainable Development, vol. 5, no. 2, pp. 339-350, 2023.
IX. T. Abd, Y. S. Mezaal, M. S. Shareef, S. K. Khaleel, H. H. Madhi, & S. F. Abdulkareem, “Iraqi e-government and cloud computing development based on unified citizen identification,” Periodicals of Engineering and Natural Sciences, vol. 7, no. 4, pp. 1776-1793, 2019.
X. V. K. Quy, N. V. Hau, D. V. Anh, L. A. Ngoc, “Smart healthcare IoT applications based on fog computing: architecture, applications and challenges,” Complex & Intelligent Systems, vol. 8, no. 5, pp. 3805-3815, 2022.
XI. V. Kumar, A. A. Laghari, S. Karim, M. Shakir, A. A. Brohi, “Comparison of fog computing & cloud computing,” Int. J. Math. Sci. Comput 1, pp. 31-41, 2019.
XII. Y. S. Mezaal, H. H. Saleh, H. Al-saedi, “New compact microstrip filters based on quasi fractal resonator,” Adv. Electromagn., vol. 7, no. 4, pp. 93–102, 2018.
XIII. Y. S. Mezaal, H. T. Eyyuboglu, “A new narrow band dual-mode microstrip slotted patch bandpass filter design based on fractal geometry,” In 2012 7th International Conference on Computing and Convergence Technology (ICCCT), IEEE, pp. 1180–1184, 2012.
XIV. Y. S. Mezaal, S. F. Abdulkareem, “New microstrip antenna based on quasi-fractal geometry for recent wireless systems,” In 2018 26th Signal Processing and Communications Applications Conference (SIU), 2018.

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FUNCTIONAL ASSESSMENT OF WAVE PROPAGATION IN IMPERFECT CYLINDER MATERIALS

Authors:

L. Anitha, R. Mehala Devi

DOI NO:

https://doi.org/10.26782/jmcms.2024.02.00005

Abstract:

This work provides a theoretical framework to investigate the shear wave propagation properties within an Electrostrictive cylindrical layered structure. The structure is made up of a concentric, Functionally Assessed Electrostrictive Material (FAEM) cylindrical layer of limited width and an inadequately bonded Electrostrictive material cylinder. The FAEM layer has a constant functional gradient in the radial direction, and flaws at the interface are taken seriously, mirroring actual circumstances involving structural and electrical degradation. The fundamental electromechanical connected Bessel's equations are used to simplify field differential equations by mathematical modifications. Relationships for shear wave propagation under electrically short and open circumstances are established analytically. The acquired findings are verified against predefined standards and a particular issue instance. The impact of variables on the phase velocity of shear waves, including functional range and imperfection parameters, is shown through numerical simulations and graphical displays. The research also establishes boundaries for electrically short and open circumstances, taking into account the shear defect that exists between the inner and outer cylindrical layers.

Keywords:

Shear Wave Propagation,Cylinder,Electrostrictive Materials,Functional Assessment,

Refference:

I. Chaudhary, S., Sahu, S.A., Singhal, A. and Nirwal, S., 2019. Interfacial imperfection study in a pres-stressed rotating multiferroic cylindrical tube with wave vibration analytical approach. Materials Research Express, 6(10), p.105704.

II. Della Schiava, N., Thetpraphi, K., Le, M.Q., Lermusiaux, P., Millon, A., Capsal, J.F. and Cottinet, P.J., 2018. Enhanced figures of merit for a high-performing actuator in electrostrictive materials. Polymers, 10(3), p.263.

III. Di Stefano, S., Miller, L., Grillo, A. and Penta, R., 2020. Effective balance equations for electrostrictive composites. Zeitschrift für angewandte Mathematik und Physik, 71, pp.1-36.

IV. Liang, C., Yaw, Z. and Lim, C.W., 2023. Thermal strain energy induced wave propagation for imperfect FGM sandwich cylindrical shells. Composite Structures, 303, p.116295.

V. Luo, H., Tao, M., Wu, C. and Cao, W., 2023. Dynamic response of an elliptic cylinder inclusion with imperfect interfaces subjected to plane SH wave. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 9(1), p.24.

VI. Manduca, A., Bayly, P.V., Ehman, R.L., Kolipaka, A., Royston, T.J., Sack, I., Sinkus, R. and Van Beers, B.E., 2021. MR elastography: Principles, guidelines, and terminology. Magnetic resonance in medicine, 85(5), pp.2377-2390.
VII. Marino, A., Genchi, G.G., Sinibaldi, E. and Ciofani, G., 2017. Piezoelectric effects of materials on bio-interfaces. ACS Applied Materials & interfaces, 9(21), pp.17663-17680.

VIII. Ming, T., Hao, L., Rui, Z. and Gongliang, X., 2023. Dynamic response of an elliptic cylinder inclusion with imperfect interfaces subjected to plane SH wave (No. EGU23-7726). Copernicus Meetings.

IX. Pankaj, K.K., Sahu, S.A. and Kumari, S., 2020. Surface wave transference in a piezoelectric cylinder coated with reinforced material. Applied Mathematics and Mechanics, 41, pp.123-138.

X. Reijmers, J.J., Kaminski, M.L. and Stapersma, D., 2022. Analytical formulations and comparison of collapse models for risk analysis of axisymmetrically imperfect ring-stiffened cylinders under hydrostatic pressure. Marine Structures, 83, p.103161.

XI. Ryu, J. and Jeong, W.K., 2017. Current status of musculoskeletal application of shear wave elastography. Ultrasonography, 36(3), p.185.

XII. Singhal, A., Baroi, J., Sultana, M. and Baby, R., 2022. Analysis of SH-waves propagating in multiferroic structure with interfacial imperfection. Mechanics Of Advanced Composite Structures, 9(1), pp.1-10.

XIII. Trujillo, D.P., Gurung, A., Yu, J., Nayak, S.K., Alpay, S.P. and Janolin, P.E., 2022. Data-driven methods for discovery of next-generation electrostrictive materials. npj Computational Materials, 8(1), p.251.

XIV. Uchino, K., 2017. The development of piezoelectric materials and the new perspective. In Advanced Piezoelectric Materials (pp. 1-92). Woodhead Publishing.

XV. Wijeyewickrema, A.C. and Leungvichcharoen, S., 2022. Effect of imperfect contact on the cloaking of a circular elastic cylinder from antiplane elastic waves. Mechanics Research Communications, 124, p.103964.

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A NOVEL CONCEPT OF THE THEORY OF DYNAMICS OF NUMBERS AND ITS APPLICATION IN THE QUADRATIC EQUATION

Authors:

Prabir Chandra Bhattacharyya

DOI NO:

https://doi.org/10.26782/jmcms.2024.02.00006

Abstract:

Considering the basic role of numbers in Mathematics, Science, and Technology the author developed a new structure of numbers named as ‘Theory of Dynamics of Numbers.’ According to the Theory of Dynamics of Numbers, the author defined 0 (zero) is the starting point of any number and also defined 0 (zero) as a neutral number. The numbers can move in infinite directions from the starting point 0 (zero) and back to 0 (zero). The author has defined the three types of numbers: 1) Neutral Numbers, 2) Count Up Numbers, and 3) Count Down Numbers. These three types of numbers cover the entire numbers in the number system where there is no necessity for the concept of imaginary numbers. Introducing this new concept the author solved the quadratic equation in one unknown (say x) in the form ax2 + bx + c = 0, even if the numerical value of the discriminant b2 – 4ac < 0 in real numbers without using the concept of imaginary numbers. Already the author solved the quadratic equation x2 + 1 = 0 and proved that  √ -1 = -1  by using the Theory of Dynamics of Numbers. The Theory of Dynamics of Numbers is a more powerful tool than that of the real and imaginary number system to explain the truth of nature.

Keywords:

Cartesian Coordinate System,Imaginary Numbers,Quadratic Equation,Rectangular Bhattacharyya’s Coordinate System,Theory of Numbers,Theory of Dynamics of Numbers.,

Refference:

I. Amelia Ethan. Exploring the Use of Number Theory in Modern Cryptography: Advancements and Applications. Department of Journalism, University of Harvard. July 2023. pp 1-6.
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V. H. Lee Price, Frank R. Bernhart, : “Pythagorean Triples and a New Pythagorean Theorem”. arXiv:math/0701554 [math.HO]. 10.48550/arXiv.math/0701554
VI. Lucena, F. J. H., Díaz, I. A., Rodríguez, J. M. R., and Marín, J. A. M., Influencia del aula invertida en el rendimiento académico. Una revisión sistemática. Campus Virtuales, 8(1), p. 9-18, 2019.
VII. L. Nurul , H., D., (2017). : “Five New Ways to Prove a Pythagorean Theorem”. International Journal of Advanced Engineering Research and Science. Volume 4, issue 7, pp.132-137. 10.22161/ijaers.4.7.21
VIII. Makbule Gözde DİDİŞ KABAR. : A Thematic Review of Quadratic Equation Studies in The Field of Mathematics Education. Participatory Educational Research (PER)Vol.10(4), pp. 29-48, July 2023. 10.17275/per.23.58.10.4
IX. Manjeet Singh. Transformation of number system. International Journal of Advance Research, Ideas and Innovations in Technology. Volume 6, Issue 2 , 2020. pp 402-406. 10.13140/RG.2.2.33484.77442
X. M. Janani et al, : “Multivariate Crypto System Based on a Quadratic Equation to Eliminate in Outliers using Homomorphic Encryption Scheme”. Homomorphic Encryption for Financial Cryptography. pp 277–302. 01 August 2023. Springer
XI. M. Sandoval-Hernandez et al, : “The Quadratic Equation and its Numerical Roots”. International Journal of Engineering Research & Technology (IJERT). Vol. 10 Issue 06, June-2021 pp. 301-305. 10.17577/IJERTV10IS060100
XII. M. Sandoval-Hernandez, H. Vazquez-Leal, U. Filobello-Nino , Elisa De-Leo-Baquero, Alexis C. Bielma-Perez, J.C. Vichi-Mendoza , O. Alvarez-Gasca, A.D. Contreras-Hernandez, N. Bagatella-Flores , B.E. Palma-Grayeb, J. Sanchez-Orea, L. Cuellar-Hernandez. : The Quadratic Equation and its Numerical Roots’. IJERT. Volume 10, Issue 06 (June 2021), 301-305. 10.17577/IJERTV10IS060100
XIII. Peter Chew, : ‘Peter Chew Method for Quadratic Equation’ (2019). 2019 the 8th International Conference on Engineering Mathematics and Physics, Journal of Physics: Conference Series1411 (2019) 012003, IOP Publishing, 10.1088/1742-6596/1411/1/012003
XIV. Pieronkiewicz, B., & Tanton, J. (2019). Different ways of solving quadraticequations. Annales Universitatis Paedagogicae Cracoviensis Studia ad DidacticamMathematicae Pertinentia, 11, 103-125
XV. Prabir Chandra Bhattacharyya, : “AN INTRODUCTION TO RECTANGULAR BHATTACHARYYA’S CO-ORDINATES: A NEW CONCEPT”. J. Mech. Cont. & Math. Sci., Vol.-16, No.-11, November (2021). pp 76-86. 10.26782/jmcms.2021.11.00008
XVI. Prabir Chandra Bhattacharyya, : “AN INTRODUCTION TO THEORY OF DYNAMICS OF NUMBERS: A NEW CONCEPT”. J. Mech. Cont. & Math. Sci., Vol.-17, No.-1, January (2022). pp 37-53. 10.26782/jmcms.2022.01.00003
XVII. Prabir Chandra Bhattacharyya, : ‘A NOVEL CONCEPT IN THEORY OF QUADRATIC EQUATION’. J. Mech. Cont. & Math. Sci., Vol.-17, No.-3, March (2022) pp 41-63. 10.26782/jmcms.2022.03.00006
XVIII. Prabir Chandra Bhattacharyya. : “A NOVEL METHOD TO FIND THE EQUATION OF CIRCLES”. J. Mech. Cont. & Math. Sci., Vol.-17, No.- 6, June (2022). pp 31-56. 10.26782/jmcms.2022.06.00004
XIX. Prabir Chandra Bhattacharyya, : “AN OPENING OF A NEW HORIZON IN THE THEORY OF QUADRATIC EQUATION: PURE AND PSEUDO QUADRATIC EQUATION – A NEW CONCEPT”. J. Mech. Cont. & Math. Sci., Vol.-17, No.-11, November (2022). pp 1-25. 10.26782/jmcms.2022.11.00001
XX. Prabir Chandra Bhattacharyya, : “A NOVEL CONCEPT FOR FINDING THE FUNDAMENTAL RELATIONS BETWEEN STREAM
FUNCTION AND VELOCITY POTENTIAL IN REAL NUMBERS IN TWO-DIMENSIONAL FLUID MOTIONS”. J. Mech. Cont. & Math. Sci., Vol.-18, No.-02, February (2023) pp 1-19. 10.26782/jmcms.2023.02.00001
XXI. Prabir Chandra Bhattacharyya, : “A NEW CONCEPT OF THE EXTENDED FORM OF PYTHAGORAS THEOREM”. J. Mech. Cont. & Math. Sci., Vol.-18, No.-04, April (2023) pp 46-56. 10.26782/jmcms.2023.04.00004.
XXII. Prabir Chandra Bhattacharyya, A NEW CONCEPT TO PROVE, √− 1 = −𝟏 IN BOTH GEOMETRIC AND ALGEBRAIC METHODS WITHOUT USING THE CONCEPT OF IMAGINARY NUMBERS. J. Mech. Cont. & Math. Sci., Vol.-18, No.-9, September (2023) pp 20-43
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XXIV. Sandoval-Hernandez, M. A., Alvarez-Gasca, O., Contreras-Hernandez, A. D., Pretelin-Canela, J. E., Palma-Grayeb, B. E., Jimenez-Fernandez, V. M., and Vazquez-Leal, H. Exploring the classic perturbation method for obtaining single and multiple solutions of nonlinear algebraic problems with application to microelectronic circuits. International Journal of Engineering Research & Technology, 8(9), p. 636-645, 2019.
XXV. Sandoval-Hernandez, M. A., Vazquez-Leal, H., Filobello-Nino, U., and Hernandez-Martinez, L., New handy and accurate approximation for the Gaussian integrals with applications to science and engineering. Open Mathematics, 17(1), p. 1774-1793, 2019.
XXVI. S. Mahmud, (2019). : “Calculating the area of the Trapezium by Using the Length of the Non Parallel Sides: A New Formula for Calculating the area of Trapezium”. International Journal of Scientific and Innovative Mathematical Research. volume 7, issue 4, pp. 25-27. 10.20431/2347- 3142.0704004
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PREDICTION OF CONCRETE MIXTURE DESIGN AND COMPRESSIVE STRENGTH THROUGH DATA ANALYSIS AND MACHINE LEARNING

Authors:

Mohammad Hematibahar, Makhmud Kharun

DOI NO:

https://doi.org/10.26782/jmcms.2024.03.00001

Abstract:

Concrete is the most used building material in civil engineering. The mechanical properties of concrete depend on the percentage of materials used in the mix design. There are different types of mixture methods, and the purpose of this study is to investigate the mechanical properties of concrete using the mixture method through data analysis. In this case, more than 45 mixture designs are collected to find the estimated mixture design. The estimated mixture design was found by correlation matrix and the correlation between materials of concrete. Moreover, to find the reliability of the compressive strength of concrete through data mining, two models have been established. In this term, Linear Regression (LR), Ridge Regression (RR), Support Vector Machine Regression (SVR), and Polynomial Regression (PR) have been applied to predict compressive strength. In this study, the stress-strain curve of the compressive strength of concrete was also investigated. To find the accuracy of machine learning models, Correlation Coefficient (R2), Mean Absolute Errors (MAE), and Root Mean Squared Errors (RMSE) are established. However, the machine learning prediction model of RR and PR shows the best results of prediction with R2 0.93, MAE 3.7, and RMSE 5.3 for RR. The PR R2 was more than 0.91, moreover, the stress-strain of compressive strengths has been predicted with high accuracy through Logistic Algorithm Function. The experimental results were acceptable. In the compressive strength experimental results R2 was 0.91 MAE was 1.07, and RMSE was 2.71 from prediction mixture designs. Finally, the prediction and experimental results have indicated that the current study was reliable.

Keywords:

Data Mining,Concrete Compressive Strength,Prediction Method,Reliability,Artificial Intelligence,Machine Learning,

Refference:

I. A. Sultan A, A. Mashrei M, A. Washer G. Utilization of Wilcoxon-Mann-Whitney Statistics in Assessing the Reliability of Nondestructive Evaluation Technologies. Structures, 27, (2020), 780–7.
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