Archive

Abstract:

The Internet of Things (IoTs) are emerging and become a vital need in our daily routine. The privacy protection and insecurity of these IoT-based devices face many challenges. Distributed denial of service (DDoS) attacks in IoT networks become a significant growing challenge that is addressed in this research. The resilience and strategy for IoT devices due to distributed denial of service (DDoS) attacks assess current security measures by proposing modern procedures to upgrade the strength of IoT frameworks. This article proposes a mechanism that mitigiates the effects of DDoS attacks in IoTs, that cause significant destruction to existing systems. Utilizing secondary data from Kaggle, the machine is trained and tested. Our proposed approach incorporates descriptive statistics, correlations, t-tests, chi-square tests, and regression analyses to supply a systematic understanding of IoT security by critically analyzing the existing variants of numerous DDoS attacks, Security issues in IoTs, and creation of them in Botnets or zombies. Our findings show that the proposed security techniques are viable and detection rates correlate with security viability. The proposed model asses various network threat and cybersecurity arrangements for mitigating DDoS attacks in IoT’s and outperforms the previously implemented Web Application Firewall (WAF), Bot Mitigation, Resource Prioritisation, and Content Delivery Networks (CDNs)based DDoS mitigation techniques by 80.5%, 88%, 86% in terms of effectiveness, T-test, chi test, and correlation.

Keywords:

DDoS attacks,Data analysis,IoT security,Security measures,

Refference:

I. Aldawood, H., & Skinner, G.. Educating and raising awareness on cyber security social engineering: A literature review. In 2018 IEEE International Conference on Teaching, assessment, and Learning for Engineering (TALE), vol 10, no. 5, pp. 62-68). IEEE. 2018, December
II. Al-Hadhrami, Y., & Hussain, F. K. DDoS attacks in IoT networks: a comprehensive systematic literature review. World Wide Web, Vol 24, no 3, pp 971-1001. 2021.
III. Ali, I., Sabir, S., & Ullah, Z. Internet of things security, device authentication and access control: a review. arXiv preprint arXiv: Vol 14, no 2, pp 1901-1920, 2019.
IV. Hassan, H. Khan, I. Uddin, A. Sajid, “Optimal Emerging trends of Deep Learning Technique for Detection based on Convolutional Neural Network”, Bulletin of Business and Economics (BBE), Vol.12, No.4, pp. 264-273, 2023
V. H. Khan, A. Ali, S. Alshmrany, “Energy-Efficient Scheduling Based on Task Migration Policy Using DPM for Homogeneous MPSoCs”, Computers, Materials & Continua, Vol.74, No.1, pp. 965-981, 2023
VI. H. Sarwar, H. Khan, I. Uddin, R. Waleed, S. Tariq, “An Efficient E-Commerce Web Platform Based on Deep Integration of MEAN Stack Technologies”, Bulletin of Business and Economics (BBE), Vol. 12, No.4, pp. 447-453, 2023
VII. Hammad. A , E. Zhao, “Mitigating link insecurities in smart grids via QoS multi-constraint routing“, In 2016 IEEE International Conference on Communications Workshops (ICC)”, pp. 380-386. 2016
VIII. H. Khan, I. Uddin, A. Ali, M. Husain, “An Optimal DPM Based Energy-Aware Task Scheduling for Performance Enhancement in Embedded MPSoC” Computers, Materials & Continua, Vol.74, No.1, pp. 2097-2113, 2023
IX. Hammad, A. A., Ahmed, “Deep Reinforcement Learning for Adaptive Cyber Defense in Network Security”, In Proceedings of the Cognitive Models and Artificial Intelligence Conference, pp. 292-297, 2016
X. H. Khan, M. U. Hashmi, Z. Khan, R. Ahmad, “Offline Earliest Deadline first Scheduling based Technique for Optimization of Energy using STORM in Homogeneous Multi-core Systems,” IJCSNS Int. J. Comput. Sci. Netw. Secur, Vol.18, No.12, pp 125-130, 2018
XI. Hossein Shirazi, Bruhadeshwar. B,”Kn0w Thy Doma1n Name”: Unbiased Phishing Detection Using Domain Name Based Features. In Proceedings Of The 23nd Acm On Symposium On Access Control Models And Technologies (Sacmat ’18). Association For Computing Machinery, New York, Ny, Usa, pp. 69-75, 2018
XII. Hussain, S., Rajput, U. A., Kazi, Q. A., & Mastoi, S, “Numerical investigation of thermohydraulic performance of triple concentric-tube heat exchanger with longitudinal fins”, J. Mech. Cont. & Math. Sci, Vol. 16, No. 8, pp 61-73, 2021.
XIII. H. Khan, S. Ahmad, N. Saleem, M. U. Hashmi, Q. Bashir, “Scheduling Based Dynamic Power Management Technique for offline Optimization of Energy in Multi Core Processors” Int. J. Sci. Eng. Res, Vol.9, No.12, pp 6-10, 2018
XIV. H. Khan, K. Janjua, A. Sikandar, M. W. Qazi, Z. Hameed, “An Efficient Scheduling based cloud computing technique using virtual Machine Resource Allocation for efficient resource utilization of Servers” In 2020 International Conference on Engineering and Emerging Technologies (ICEET), IEEE, pp 1-7, 2020
XV. Hammad, M., Jillani, R. M., Ullah, S., Namoun, A., Tufail, A., Kim, K. H., & Shah, H, “Security framework for network-based manufacturing systems with personalized customization”, An industry 4.0 approach, Sensors, vol. 23. No. 17-55, 2022
XVI. H. Khan, Q. Bashir, M. U. Hashmi, “Scheduling based energy optimization technique in multiprocessor embedded systems” In 2018 International Conference on Engineering and Emerging Technologies (ICEET), IEEE, pp 1-8, 2018
XVII. H. Khan, A. Yasmeen, S. Jan, U. Hashmi, “Enhanced Resource Leveling Indynamic Power Management Techniqueof Improvement In Performance For Multi-Core Processors”, Journal Of Mechanics Of Continua And Mathematical Sciences, Vol.6, No.14, pp. 956-972, 2019
XVIII. H. Khan, K. Janjua, A. Sikandar, M. W. Qazi, Z. Hameed, “An Efficient Scheduling based cloud computing technique using virtual Machine Resource Allocation for efficient resource utilization of Servers” In 2020 International Conference on Engineering and Emerging Technologies (ICEET), IEEE, pp 1-7, 2020
XIX. H. Huang, J. Tan And L. Liu, “Countermeasure Techniques For Deceptive Phishing Attack”, International Conference On New Trends In Information And Service Science, Beijing, pp. 636-641, 2009
XX. H. Khan, M. U. Hashmi, Z. Khan, R. Ahmad, “Offline Earliest Deadline first Scheduling based Technique for Optimization of Energy using STORM in Homogeneous Multi-core Systems” IJCSNS Int. J. Comput. Sci. Netw. Secur, Vol.18, No.12, pp 125-130, 2018

EXTENSION OF LAPLACE – ARA TRANSFORM OF DIFFERENTIAL EQUATIONS

Authors:

Dilip Kumar Jaiswal, Surekha Dewangan, D. S. Singh

DOI NO:

https://doi.org/10.26782/jmcms.2024.10.00010

Abstract:

To solve differential equations, we utilize an extended Laplace-ARA transform result that we offer in this work to verify the existence of other pertinent theorems.

Keywords:

ARA transform,Laplace transform,Triple Laplace-ARA transform,Volterra Integral equation,Volterra-integrodifferential equation,integro-partial differential equation,

Refference:

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IX. Jangid K.(2020),Fractional calculus and integral transforms of the product of a general class of polynomial and incomplete Fox–Wright functions , Advances in Difference Equations , 2020:606 https://doi.org/10.1186/s13662-020-03067-0

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XII. Kumar D.(2013), New Fractional-Calculus Results Involving General Class of Multivariable Polynomials and Multivariable H-function, International Journal of Modern Mathematical Sciences. 7(1): 55-64,2166-286X.

XIII. Kiryakoya V.(2010),The special functions of fractional calculus as generalized fractional calculus operators of some basic functions, Comp& mathematics with applications, 59(3) ,1128-1141. 10.1016/j.camwa.2009.05.014.

XIV. Oparnica L (2001), Generalized fractional calculus with applications in mechanics, MATEMATИЧKИ BECHИK, 53, 151 – 158.

XV. Singh S.K. (2018), Integral Transform and the Solution of Fractional Kinetic Equation Involving Some Special Functions, International Journal of Mathematics Trends and Technology (/IJMTT) –V (55), pp. 5- 16.

XVI. Satyanarayana B. and Kumar Pragathi(2011). Some finite integrals involving multivariable polynomials, H-function of one variable and H-function of ‘r’ variables, African Journal of Mathematics and Computer Science Research Vol. 4(8), pp. 281-285.

XVII. Sharma B. L(1961), On a generalized function of two variables, I. Ann. Soc. Sci., Bruxellers Ser. I 79(1965), 26-40.Fox C. The G and H-functions as symmetrical Fourier kernel, Amer. Math. Soc. Transl., 98 , pp.395-429

XVIII. Srivastava H. M. (1983). The Weyl fractional integral of a general class of polynomials, Boll. Un. Mat. Italy 602-B , pp.219-228.

XIX. Srivastava H. M.(1976), Some bilateral generating functions for a class of generalized hypergeometric polynomials, J. Reine Angew. Math., 283/284, 265-274.

XX. Thakur A.K, S.K. Sahani and J.K. Kushwaha (2020), Some applications of Quadraple Hypergeometric functions in functions Spaces, Vol 17(12) 894 -903| 10.5281/zenodo.7451049.

SOME FEATURES OF PAIRWISE α-R₀ SPACES IN SUPRA FUZZY BITOPOLOGY

Authors:

Md. Hannan Miah, Ruhul Amin

DOI NO:

https://doi.org/10.26782/jmcms.2024.10.00011

Abstract:

This paper introduces and studies four concepts of supra fuzzy bitopological spaces. We have exhibited that all these four concepts are ‘good extensions’ of the corresponding concepts bitopological spaces and building relationships among them. It has been justified that all the definitions are hereditary, productive, and projective. Furthermore, additional properties of these concepts are studied.

Keywords:

Fuzzy set,Fuzzy bitopological space,Good extension,Supra fuzzy bitopological space,

Refference:

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V. Chang, C. L., 1968. Fuzzy topological spaces. J. Math. Anal. Appl. 24, (1968), 182-192.

VI. Hannan Miah and Ruhul Amin, Some features of pairwise α-T₀ spaces in supra fuzzy bitopology, Journal of Mechanics of Continua and Mathematical Sciences, 15(11), (2020), 1-11.

VII. Hossain, M. S., Ali, D. M., On R₀ and R₁ fuzzy topological spaces; R U Studies Part-B J Sc. 33, (2005), 51-63.

VIII. Kandil, A., El-Shafee, M., Separation axioms for fuzzy bitopological spaces. J. Ins. Math. Comput. Sci. 4(3), (1991), 373-383.

IX. Kandil, A., Nouh, A.A. and El-Sheikh, S. A., Strong and ultra-separation axioms on fuzzy bitopological spaces. Fuzzy Sets and Systems. 105, (1999), 459-467.

X. Lowen, R., Fuzzy topological spaces and fuzzy compactness. J. Math. Anal. Appl. 56, (1976), 621-633.

XI. Mashour, A. S., Allam, A. A., Mahmoud, F. S., Khedr, F.H., On supra topological spaces. Indian J. Pure and Appl. Math. 14(4), (1983), 502-510.

XII. Pao-Ming, P., Ying-Ming, L., Fuzzy topology. II. Product and quotient spaces, J. Math. Anal. App. 77, (1980), 20-37.

XIII. Mukherjee, A., Completely induced bifuzzy topological spaces, Indian J. Pure Appl. Math. 33, (2002), 911-916.

XIV. Nouh, A. A., On separation axioms in fuzzy bitopological spaces, Fuzzy Sets and Systems, 80, (1996), 225-236.

XV. Srivastava, A.K., Ali, D.M., A comparison of some FT₂ concepts, Fuzzy Sets and Systems 23, (1987), 289-294.

XVI. Wong, C. K., Fuzzy points and local properties of fuzzy topology; J. Math. Anal. Appl. 46, (1974), 316-328.

XVII. Wong, C. K., Fuzzy topology: product and quotient theorems. J. Math. Anal. Appl. 45(2), (1974), 512-521.

XVIII. Zadeh, L. A., Fuzzy sets. Information and Control 8, (1965), 338-353.

CHARACTERISTICS OF INTEGRATION BETWEEN STATISTICAL MODELS AND MATHEMATICAL MODELS

Authors:

Rasha Ibrahim Hajaj, Iqbal M. Batiha, Mazin Aljazzazi, Iqbal H. Jebril, Roqia Ibraheem Butush

DOI NO:

https://doi.org/10.26782/jmcms.2024.10.00012

Abstract:

This study focuses on integrating mathematical and statistical modeling, where a statistical model estimates the parameters of a mathematical model, or a mathematical model generates data to train a statistical model. This integration benefits both approaches: mathematical models improve the accuracy of statistical models, while statistical models help reduce bias in mathematical ones. The findings demonstrate that this combination is a valuable tool for understanding and predicting dynamic systems, offering more accurate and flexible models. Research consistently shows that integrating these models is an ideal approach for solving complex problems and understanding various systems.

Keywords:

Complex problem,Mathematical Modeling,Statistical Modeling Sustainability,Ultimately Indicated,

Refference:

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V. I. M. Batiha, A. A. Abubaker, I. H. Jebril, S. B. Al-Shaikh, K. Matarneh, M. Almuzini. : ‘A mathematical study on a fractional-order SEIR Mpox model: analysis and vaccination influence’. Algorithms. Vol. 16, p. 418, 2023. 10.3390/a16090418
VI. I. M. Batiha, A. A. Al-Nana, R. B. Albadarneh, A. Ouannas, A. Al-Khasawneh, S. Momani. : ‘Fractional-order coronavirus models with vaccination strategies impacted on Saudi Arabia’s infections’. AIMS Mathematics. Vol. 7, pp. 12842–12858, 2022. 10.3934/math.2022711
VII. I. M. Batiha, A. Obeidat, S. Alshorm, A. Alotaibi, H. Alsubaie, S. Momani, M. Albdareen, F. Zouidi, S. M. Eldin, H. Jahanshahi. : ‘A numerical confirma-tion of a fractional-order COVID-19 model’s efficiency’. Symmetry. Vol. 14, p. 2583, 2022. 10.3390/sym14122583
VIII. I. M. Batiha, J. Oudetallah, A. Ouannas, A. A. Al-Nana, I. H. Jebril. : ‘Tuning the fractional-order PID-Controller for blood glucose level of diabetic patients’. International Journal of Advances in Soft Computing and its Applications. Vol. 13, pp. 1–10, 2021. https://www.i-csrs.org/Volumes/ijasca/2021.2.1.pdf
IX. I. M. Batiha, N. Djenina, A. Ouannas, T. E. Oussaeif. : ‘Fractional-order SEIR Covid-19 model: discretization and stability analysis’. In: D. Zeidan, J. C. Cortes, A. Burqan, A. Qazza, J. Merker, G. Gharib.: ‘Mathematics and Computation’. Springer, Singapore, Vol. 418, 2023.
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XIII. M. Almuzini, I. M. Batiha, S. Momani. : ‘A study of fractional-order monkeypox mathematical model with its stability analysis’. International Conference on Fractional Differentiation and its Applications, Ajman, UAE, 2023. 10.1109/ICFDA58234.2023.10153214.
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XVII. N. C. Atuegwu, L. R. Arlinghaus, X. Li, E. B. Welch, B. A. Chakravarthy, J. C. Gore, T. E. Yankeelov. : ‘Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy’. Magnetic Resonance in Medicine. Vol. 66, pp. 1689-1696, 2011. 10.1002/mrm.23203
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EXPERIMENTAL APPROACH FOR DEVELOPMENT OF SUSTAINABLE HYBRID GRADED FIBER REINFORCED CONCRETE BY CONSUMING LATHE WASTE STEEL FIBERS WITH GLASS FIBERS FOR ENHANCED MECHANICAL PROPERTIES

Authors:

Fawad Ahmad, Aiman Al-Odaini, Mohammad Saleh Nusari, Mohammad Nizamuddin Inamdar, Jamaludin Bin Non

DOI NO:

https://doi.org/10.26782/jmcms.2024.10.00013

Abstract:

Local workshops generate large quantities of industrial lathe waste steel fibers, which the steel manufacturing industries find difficult to recycle because of their sharp edges. The utilization of lathe waste steel fibers as fiber reinforcement is sustainable in concrete because these fibers have the same properties as steel fibers. Furthermore, using combinations of ductile and elastic fibers improves strain capacity and resistance to pre- and post-cracking. This research employs hybrid fiber reinforcement technology, utilizing industrial lathe waste steel fibers and glass fibers in varying proportions, to bridge the micro and macro cracks in concrete specimens. This research was done to examine the physical (workability) and mechanical properties (compressive and flexural strength) of hybrid fiber-reinforced concrete. In this research different mixtures of hybrid fiber-reinforced concrete were cast and designated as M0, M1, M2, M3, M4, M5, and M6. The mixtures included lathe waste steel fibers at 0%, 0.50%, 1%, 1.5%, 2%, 2.5%, and 3%, and glass fibers at 0%, 0.15%, 0.25%, 0.45%, 0.60%, 0.75%, and 0.90%, respectively. The ASTM-standardised protocols were followed for all laboratory testing. The physical property results showed a decrease in the workability of concrete mixes as the percentage of lathe waste steel and glass fiber increased. This suggests that a higher percentage of lathe waste steel and glass fibers leads to a lower slump value. Consequently, the mechanical property results showed a gradual enhancement in the compressive and flexural strengths of hybrid fiber-reinforced concrete up to 2.5% lathe waste steel fibers and 0.75% (M5). Further incorporation causes a reduction in strength. The physical examination of fractured samples of hybrid fiber-reinforced concrete confirms that the lathe waste steel fibers yield a maximum strain before breaking down in the concrete matrix. Furthermore, lathe waste steel fibers broke rather than being pulled out, indicating a good bond with the concrete. It is recommended that up to 2.5% lathe waste steel fibers and 0.75% of glass fibers by the total weight of the concrete can be used as hybrid fiber reinforcement for optimum strength achievement.

Keywords:

Lathe waste Steel Fibers,Glass Fibers,Hybrid Fiber Reinforced Concrete,Workability,Compressive Strength,Flexural Strength,Mechanical and Physical Properties,

Refference:

I. Ahmad, Fawad, Mohammed Saleh Nusari, and Mohammad Nizamuddin Inamdar. “A leap towards environmental and economic friendly concrete having locally available lathe waste steel fibers as fiber reinforcement.” AIP Conference Proceedings. Vol. 2854. No. 1. AIP Publishing, 2023. 10.1063/5.0162507

II. Ahmad, Jawad, and Zhiguang Zhou. “Mechanical properties of natural as well as synthetic fiber reinforced concrete: a review.” Construction and Building Materials 333 (2022): 127353. 10.1016/j.conbuildmat.2022.127353

III. Ahmad, Jawad, et al. “Glass fibers reinforced concrete: Overview on mechanical, durability and microstructure analysis.” Materials 15.15 (2022): 5111. 10.3390/ma15155111

IV. Ali, Mujahid, et al. “Experimental and analytical investigation on the confinement behavior of low strength concrete under axial compression.” Structures. Vol. 36. Elsevier, 2022. 10.1016/j.istruc.2021.12.038
V. Amer, Omar Alsanusi, Prasad Rangaraju, and Hassan Rashidian-Dezfouli. “Effectiveness of binary and ternary blended cements of class C fly ash and ground glass fibers in improving the durability of concrete.” Journal of Sustainable Cement-Based Materials 11.2 (2022): 127-136. 10.1080/21650373.2021.1899085

VI. Benemaran, Reza Sarkhani, Mahzad Esmaeili-Falak, and Morteza Sadighi Kordlar. “Improvement of recycled aggregate concrete using glass fiber and silica fume.” Multiscale and Multidisciplinary Modeling, Experiments and Design 7.3 (2024): 1895-1914. 10.1007/s41939-023-00313-2

VII. Bijo, M. D., and Sujatha Unnikrishnan. “Mechanical strength and impact resistance of hybrid fiber reinforced concrete with coconut and polypropylene fibers.” Materials Today: Proceedings 65 (2022): 1873-1880. 10.1016/j.matpr.2022.05.048

VIII. Celik, Ali İhsan, et al. “Performance assessment of fiber-reinforced concrete produced with waste lathe fibers.” Sustainability 14.19 (2022): 11817. 10.3390/su141911817

IX. Chellapandian, M., Arunachelam, N., Maheswaran, J. and Kumar, N.P., 2024. Shear behavior of low-cost and sustainable bio-fiber based engineered cementitious composite beams–experimental and theoretical studies. Journal of Building Engineering, 84, p.108497. 10.1016/j.jobe.2024.108497

X. Chen, Boyu, et al. “Evolution law of crack propagation and crack mode in coral aggregate concrete under compression: Experimental study and 3D mesoscopic analysis.” Theoretical and Applied Fracture Mechanics 122 (2022): 103663. 10.1016/j.tafmec.2022.103663

XI. Courland, Robert. Concrete planet: the strange and fascinating story of the world’s most common man-made material. Rowman & Littlefield, 2022. 10.1007/s10745-013-9576-x
XII. Dharek, Manish S., et al. “Biocomposites and Their Applications in Civil Engineering—An Overview.” Smart Technologies for Energy, Environment and Sustainable Development, Vol 1: Select Proceedings of ICSTEESD 2020 (2022): 151-165. 10.1007/978-981-16-6875-3_13

XIII. Gencel, Osman, et al. “A detailed review on foam concrete composites: Ingredients, properties, and microstructure.” Applied Sciences 12.11 (2022): 5752. 10.3390/app12115752

XIV. Golewski, Grzegorz Ludwik. “The phenomenon of cracking in cement concretes and reinforced concrete structures: the mechanism of cracks formation, causes of their initiation, types and places of occurrence, and methods of detection—a review.” Buildings 13.3 (2023): 765. 10.3390/buildings13030765

XV. Heidari, Ali, and Farid Naderi Shourabi. “Mechanical properties of ultra-high performance concrete based on reactive powder concrete: Effect of sand-to-cement ratio, adding glass fiber and calcium carbonate.” Construction and Building Materials 368 (2023): 130108. 10.1016/j.conbuildmat.2022.130108

XVI. Huang, Yitao, et al. “Strengthening of concrete structures with ultra high performance fiber reinforced concrete (UHPFRC): A critical review.” Construction and Building Materials 336 (2022): 127398. 10.1016/j.conbuildmat.2022.127398

XVII. Khoso, Salim, et al. “Experimental study of the effect of lathe steel fiber on the mechanical properties of concrete.” Webology (ISSN: 1735-188X) 19.2 (2022). https://www.webology.org/abstract.php?id=1908

XVIII. Lee, Ming-Gin, et al. “Mechanical properties of high-strength pervious concrete with steel fiber or glass fiber.” Buildings 12.5 (2022): 620. 10.3390/buildings12050620

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XXI. Los Santos-Ortega, Jorge, et al. “Mechanical and Environmental Assessment of Lathe Waste as an Addiction to Concrete Compared to the Use of Commercial Fibers.” Materials 16.17 (2023): 5740. 10.3390/ma16175740

XXII. Maiti, Saptarshi, et al. “Sustainable fiber‐reinforced composites: a Review.” Advanced Sustainable Systems 6.11 (2022): 2200258. 10.1002/adsu.202200258

XXIII. Mujalli, Mohammed A., et al. “Evaluation of the tensile characteristics and bond behaviour of steel fiber-reinforced concrete: An overview.” Fibers 10.12 (2022): 104. 10.3390/fib10120104

XXIV. Naveen, M., K. Hemalatha, and V. Srinivasa Reddy. “Evaluation of Ductility of Hybrid Reinforced Concrete Beams Made with Glass Fiber-Reinforced Polymer Rebar.” International Conference on Recent Advances in Civil Engineering. Singapore: Springer Nature Singapore, 2022. 10.1007/978-981-99-2676-3_51

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XXXII. Van der Merwe, Johann Eduard. “Evaluation of concrete tensile strength as a function of temperature.” Construction and Building Materials 329 (2022): 127179. 10.1016/j.conbuildmat.2022.127179

XXXIII. Xiao, Jianzhuang, et al. “Pore structure characteristics, modulation and its effect on concrete properties: A review.” Construction and Building Materials 397 (2023): 132430. 10.1016/j.conbuildmat.2023.132430

XXXIV. Zhang, Baifa, et al. “Compressive behaviours, splitting properties, and workability of lightweight cement concrete: the role of fibers.” Construction and Building Materials 320 (2022): 126237. 10.1016/j.conbuildmat.2021.126237

XXXV. Zhang, Wei, et al. “Reliability-based analysis of the flexural strength of concrete beams reinforced with hybrid BFRP and steel rebars.” Archives of Civil and Mechanical Engineering 22.4 (2022): 171. 10.1007/s43452-022-00493-7

XXXVI. Zhao, Chenggong, et al. “Research on different types of fiber reinforced concrete in recent years: An overview.” Construction and Building Materials 365 (2023): 130075. DOI:10.1016/j.conbuildmat.2022.130075

DURABILITY CHARACTERISTIC OF COCONUT FIBER AGGREGATE CONCRETE BOND IN LIGHTWEIGHT FOAM CONCRETE

Authors:

Divyajit Das, Dillip Kumar Bera, A. K. Rath

DOI NO:

https://doi.org/10.26782/jmcms.2024.10.00014

Abstract:

The research paper probes into coconut fibre used as lightweight aggregate in concrete for thermal conditioning, specifically on durability. The durability properties of coconut fibre and coconut fibre lightweight aggregate concrete were examined on the thermal conditioning. The use of coconut fibre aggregate in construction was tested and verified. It ascertained the moisture content and water absorption capacity found to be 4.20% and 24% respectively. These values can be compared to the conventional aggregate used in normal times. The density of coconut fibre was found to be in the range of 550 -650 kg/m³. They are within the specified limits of lightweight aggregate standards. The study conducted a related hydration test on coconut fibre fines with cement. The coconut fibre-cement ratio has been optimized to satisfy the criteria of structural lightweight concrete for insulation and thermal conditioning to ensure durability. The experiments for long-term investigation continued for 365 days on the compressive strength of coconut fibre aggregate concrete for three different curing conditions.

Keywords:

Durability,Volume of Permeable Voids,Resistance,Rapid Chloride Penetrability,Residual Strength,

Refference:

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EFFECTIVELY CONNECTING BATTERIES TO ENERGY SYSTEMS FOR THE DIY ENTHUSIAST

Authors:

P. E. Hertzog

DOI NO:

https://doi.org/10.26782/jmcms.2024.11.00001

Abstract:

The proliferation of non-expensive commercially available renewable energy systems along with the regular interruption of electrical energy from local power producers has resulted in more DIY (do-it-yourself) enthusiasts. Many of these enthusiasts are from the lower to middle-income classes and thus seek to empower themselves to purchase and install a basic off-grid renewable energy system. It's crucial to emphasize the significance of acquiring a wiring certificate for the electrical setup. National standards, quality management, and human lives are all at risk, so this step cannot be overlooked. However, several components need to be connected in the most efficient and effective way, thereby promoting safety and efficiency. The purpose of this study is to evaluate different electrical connections between two of the main components, the battery (storage device) and the solar charger (or an inverter) to enable an informed decision regarding the optimal type of connection. An experimental setup is used to gather empirical data for seven different electrical connections. The worst type of connection is a solid 1,5 mm cable with battery clamps (or clips) that results in a higher voltage drop of 0,42 V when compared to the ideal type of connection that is a solid 2,5 mm cable with unsoldered crimped lugs. It is recommended that every DIY enthusiast working with electrical connections purchase a non-expensive crimping tool to effectively connect lugs to the correct wire diameter required for their application.

Keywords:

Crimping-tool,DIY enthusiasts,Off-grid,Optimal,Solar charger ,

Refference:

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ADVANCEMENTS IN 3D PRINTING FOR METAL BIO-IMPLANTS: A COMPREHENSIVE BIBLIOMETRIC AND SCIENTOMETRIC ANALYSIS

Authors:

Devika Banothu, Pankaj Kumar, Rajasri Reddy

DOI NO:

https://doi.org/10.26782/jmcms.2024.11.00002

Abstract:

The growth trend and increasing global population are leading to new healthcare challenges that require prompt and effective solutions to meet the clinical demands. Currently, three-dimensional (3D) printing is emerging as a rapidly advancing technology to produce metal implants and other biomedical applications. This method creates intricate designs with biomimetic characteristics in a shorter timeframe, enabling healthcare providers to meet the needs of their patients better. This study thoroughly analyzes the demand and manufacturing methods for biomedical implants, particularly metal bio-implants. It also delves into biomaterials used in additive manufacturing, accompanied by a comprehensive bibliometric study covering scientific production by country, highly cited nations, productive authors, collaboration networks, and source rankings. The paper further investigates top author contributions, affiliations, and trends, featuring various analytical tools, such as co-citation networks, keyword co-occurrence analysis, and reference publication year spectroscopy, culminating in presenting key findings through insightful field plots. The current study uses network analysis and scientometric methodologies to analyze data taken from the Scopus journal database, which includes articles from the period between 2014 and 2023, to accomplish this goal. Through this analysis, the article aims to offer valuable insights into the relevance and real-world implications of previous research on the additive manufacturing of metal bio-implants.

Keywords:

Biomedical implant,Bibliographical analysis,3D-printing,literature review,RStudio,

Refference:

I. Al-Khoury, A., Hussein, S. A., Abdulwhab, M., Aljuboori, Z. M., Haddad, H., Ali, M. A., Abed, I. A., & Flayyih, H. H. (2022). Intellectual Capital History and Trends: A Bibliometric Analysis Using Scopus Database. Sustainability, 14(18), 11615. 10.3390/su141811615

II. Al-Shalawi, F. D., Mohamed Ariff, A. H., Jung, D.-W., Mohd Ariffin, M. K. A., Seng Kim, C. L., Brabazon, D., & Al-Osaimi, M. O. (2023). Biomaterials as Implants in the Orthopedic Field for Regenerative Medicine: Metal versus Synthetic Polymers. Polymers, 15(12), 2601. 10.3390/polym15122601

III. Bandyopadhyay, A., Traxel, K. D., & Bose, S. (2021). Nature-inspired materials and structures using 3D Printing. Materials Science and Engineering: R: Reports, 145, 100609. 10.1016/j.mser.2021.100609

IV. Castanha, R. G., Grácio, M. C. C., & Perianes-Rodríguez, A. (2024). Co-citation analysis between coupler authors of a scientific domain’s citation identity: a case study in scientometrics. Scientometrics, 129(3), 1545–1566. 10.1007/s11192-023-04927-8

V. Chang, Y., & Huang, M. (2012). A study of the evolution of interdisciplinarity in library and information science: Using three bibliometric methods. Journal of the American Society for Information Science and Technology, 63(1), 22–33. 10.1002/asi.21649

VI. Everton, S. K., Hirsch, M., Stravroulakis, P., Leach, R. K., & Clare, A. T. (2016). Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing. Materials & Design, 95, 431–445. 10.1016/j.matdes.2016.01.099

VII. Gutiérrez-Salcedo, M., Martínez, M. Á., Moral-Munoz, J. A., Herrera-Viedma, E., & Cobo, M. J. (2017). Some bibliometric procedures for analyzing and evaluating research fields. Applied Intelligence. 10.1007/s10489-017-1105-y

VIII. Kalantari, A., Kamsin, A., Kamaruddin, H. S., Ale Ebrahim, N., Gani, A., Ebrahimi, A., & Shamshirband, S. (2017). A bibliometric approach to tracking big data research trends. Journal of Big Data, 4(1), 30. 10.1186/s40537-017-0088-1

IX. Lewandowski, J. J., & Seifi, M. (2016). Metal Additive Manufacturing: A Review of Mechanical Properties. Annual Review of Materials Research, 46(1), 151–186. 10.1146/annurev-matsci-070115-032024

X. Li, C., Pisignano, D., Zhao, Y., & Xue, J. (2020). Advances in Medical Applications of Additive Manufacturing. Engineering, 6(11), 1222–1231. 10.1016/j.eng.2020.02.018

XI. Meho, L. I., & Yang, K. (2007). Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar. Journal of the American Society for Information Science and Technology, 58(13), 2105–2125. 10.1002/asi.20677

XII. Mehrpouya, M., Dehghanghadikolaei, A., Fotovvati, B., Vosooghnia, A., Emamian, S. S., & Gisario, A. (2019). The Potential of Additive Manufacturing in the Smart Factory Industrial 4.0: A Review. Applied Sciences, 9(18), 3865. 10.3390/app9183865

XIII. Mejia, C., Wu, M., Zhang, Y., & Kajikawa, Y. (2021). Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis. Frontiers in Research Metrics and Analytics, 6. 10.3389/frma.2021.742311

XIV. ]Murr, L.E. (2020). Metallurgy principles applied to powder bed fusion 3D printing/additive manufacturing of personalized and optimized metal and alloy biomedical implants: an overview. Journal of Materials Research and Technology, 9(1), 1087–1103. 10.1016/j.jmrt.2019.12.015

XV. 15] Murr, Lawrence E., Gaytan, S. M., Ramirez, D. A., Martinez, E., Hernandez, J., Amato, K. N., Shindo, P. W., Medina, F. R., & Wicker, R. B. (2012). Metal Fabrication by Additive Manufacturing Using Laser and Electron Beam Melting Technologies. Journal of Materials Science & Technology, 28(1), 1–14. 10.1016/S1005-0302(12)60016-4

XVI. OSAREH, F. (1996). Bibliometrics, Citation Analysis and Co-Citation Analysis: A Review of Literature I. Libri, 46(3). 10.1515/libr.1996.46.3.149

XVII. Pandey, A., Awasthi, A., & Saxena, K. K. (2020). Metallic implants with properties and latest production techniques: a review. Advances in Materials and Processing Technologies, 6(2), 405–440. 10.1080/2374068X.2020.1731236

XVIII. Paul, S., Nath, A., & Roy, S. S. (2021). Additive manufacturing of multi-functional biomaterials for bioimplants: a review. IOP Conference Series: Materials Science and Engineering, 1136(1), 012016. 10.1088/1757-899X/1136/1/012016

XIX. Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World. Publications, 9(1), 12. 10.3390/publications9010012

XX. Sakata, I., Sasaki, H., Akiyama, M., Sawatani, Y., Shibata, N., & Kajikawa, Y. (2013). Bibliometric analysis of service innovation research: Identifying knowledge domain and global network of knowledge. Technological Forecasting and Social Change, 80(6), 1085–1093. 10.1016/j.techfore.2012.03.009

XXI. Schmitt, P., Zorn, S., & Gericke, K. (2021). ADDITIVE MANUFACTURING RESEARCH LANDSCAPE: A LITERATURE REVIEW. Proceedings of the Design Society, 1, 333–344. 10.1017/pds.2021.34

XXII. Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126(6), 5113–5142. 10.1007/s11192-021-03948-5

XXIII. Sridhar, T. M., Vinodhini, S. P., Kamachi Mudali, U., Venkatachalapathy, B., & Ravichandran, K. (2016). Load-bearing metallic implants: electrochemical characterisation of corrosion phenomena. Materials Technology, 31(12), 705–718. 10.1080/10667857.2016.1220752

XXIV. Tilton, M., Lewis, G. S., & Manogharan, G. P. (2018). Additive Manufacturing of Orthopedic Implants. In Orthopedic Biomaterials (pp. 21–55). Springer International Publishing. 10.1007/978-3-319-89542-0_2

XXV. van Raan, A. F. J. (2006). Statistical properties of bibliometric indicators: Research group indicator distributions and correlations. Journal of the American Society for Information Science and Technology, 57(3), 408–430. 10.1002/asi.20284

XXVI. Wang, J., Zhang, Y., Aghda, N. H., Pillai, A. R., Thakkar, R., Nokhodchi, A., & Maniruzzaman, M. (2021). Emerging 3D printing technologies for drug delivery devices: Current status and future perspective. Advanced Drug Delivery Reviews, 174, 294–316. 10.1016/j.addr.2021.04.019

XXVII. Weismayer, C., & Pezenka, I. (2017). Identifying emerging research fields: a longitudinal latent semantic keyword analysis. Scientometrics, 113(3), 1757–1785. 10.1007/s11192-017-2555-z

XXVIII. Yadav, L. K., Misra, J. P., Kumar, V., Saxena, K. K., & Buddhi, D. (2022). Additive manufacturing for metal-based bio-implant development: A bibliometric analysis. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 095440892211327. 10.1177/09544089221132737

XXIX. Zhou, Q., Su, X., Wu, J., Zhang, X., Su, R., Ma, L., Sun, Q., & He, R. (2023). Additive Manufacturing of Bioceramic Implants for Restoration Bone Engineering: Technologies, Advances, and Future Perspectives. ACS Biomaterials Science & Engineering, 9(3), 1164–1189. 10.1021/acsbiomaterials.2c01164

XXX. Zhu, W., & Guan, J. (2013). A bibliometric study of service innovation research: based on complex network analysis. Scientometrics, 94(3), 1195–1216. 10.1007/s11192-012-0888-1

XXXI. Zwawi, M. (2022). Recent advances in bio-medical implants; mechanical properties, surface modifications and applications. Engineering Research Express, 4(3), 032003. 10.1088/2631-8695/ac8ae2

ANALYSIS OF SERIAL QUEUES LINKED WITH NON-SERIAL SERVICE CHANNELS CHARACTERIZED BY FEEDBACK AND CUSTOMERS’ BEHAVIOUR

Authors:

Sangeeta, Man Singh, Deepak Gupta

DOI NO:

https://doi.org/10.26782/jmcms.2024.11.00003

Abstract:

This research primarily presents a model involving R-serial service channels connected to S non-serial service channels. Feedback mechanisms are applied to the serial queues, while balking and reneging behaviors, triggered by urgent calls/messages or customer impatience, are analyzed in both serial and non-serial queues. After developing the queuing model, the system’s differential-difference equations are formulated in a compact form, and their solutions are derived by reducing them to the steady-state form for unlimited waiting capacity. Marginal probabilities and mean queue lengths are calculated to evaluate the system's performance in this scenario.

Keywords:

Differential-difference equations,Exponential,Impatient behaviour,Poisson,Probabilities,Queue discipline,Service channels,Steady-state,Urgent message,Waiting space,

Refference:

I. Ahmed, M.M.S. “Multi-channel bi-level heterogeneous servers bulk arrivals queuing system with Erlangian service time”. Mathematical and Computational Applications. Vol. 12(2) pp.97-1010.3390/mca12020097.
II. Barrer, D.Y.A, “Waiting line problem characterized by impatient customers and indifferent clerk”. Journal of Operations Research Society of America, vol.3, pp. 360-367, 1955.
III. Cox, D.R,“The statistical analysis of congestion”. Journal of the Royal Statistical Society ; vol.118(3), pp. 324-335, 10.2307/2342496
IV. Gupta Meenu, Singh, Man and Gupta, Deepak, “Analysis of queueing system consisting of multiple of parallel channels in series connected to non-serial servers with finite waiting space and balking, reneging”. Journal of Natural Sciences Research, vol.5(3),2015.
V. Singh, Man. ,”Study of some queuing problems”, 1975, Kurukshetra University, Kurukshetra.
VI. Singh, Man. “Steady-state behaviour of serial queuing processes with impatient customers”. Math. Operations forsch. U.Statist. Ser. Statist., vol. 15 (2), pp. 289-298,1984, 10.1080/02331888408801769
VII. Singh, Satyabir and Singh, Man.”The steady-state solution of serial channels with feedback and reneging connected with non-serial queuing processes with reneging and balking”, Indian Journal of Scientific Research and Engineering” vol.3(10),pp. 1-5,2015.
VIII. Singh, Satyabir; Singh, Man, ”Study of some serial and non-serial queuing processes with various types of customers’ behaviour”,2016, Kurukshetra University, Kurukshetra.

DOUBLE ELZAKI DECOMPOSITION METHOD FOR SOLVING PDES ARISING DURING LIQUID DROP FORMATIONS

Authors:

Inderdeep Singh, Parvinder Kaur

DOI NO:

https://doi.org/10.26782/jmcms.2024.11.00004

Abstract:

Partial differential equations are essential to every branch of science and engineering. They are regarded as the fundamental components of the majority of mathematical and physical simulations with practical uses. Numerous partial differential equations may be useful in the description of a physical phenomenon that could help in a deeper comprehension of its behaviour. The importance of PDEs has drawn more attention in recent years, which motivates researchers to solve these equations analytically and numerically. In this study, we propose a new hybrid technique for solving partial differential equations arising during liquid drop formations. The proposed hybrid technique is the combustion of double Elzaki transform and the classical Adomian decomposition method. To illustrate the simplicity and accuracy of the proposed scheme, some experimental work has been carried out.

Keywords:

Double Elzaki transform,Adomian decomposition method,Rosenau Hyman equations,Test examples,

Refference:

I. Ahmed, S., ‘Application of Sumudu Decomposition Method for Solving Burger’s Equation,’ Advances in Theoretical and Applied Mathematics, Vol. 9(1), pp. 23-26, (2014).

II. Alderremy, A. A. and Elzaki, T.M., ‘On the New Double Integral Transform for Solving Singular System of Hyperbolic Equations,’ Journal of Nonlinear Sciences and Applications, Vol. 11, pp. 1207-1214, (2018). 10.22436/jnsa.011.10.08
III. Eltayeb, H. and Kilicman, A., ‘A Note on Double Laplace Transform and Telegraphic Equations,’ Abstract and Applied Analysis, 2013, pp. 1-6, (2013). 10.1155/2013/932578

IV. Elzaki, T., ‘The New Integral Transform Elzaki Transform,’ Global Journal of Pure and Applied Mathematics, Vol. 7(1), pp. 57-64, (2011). http://www.ripublication.com/gjpam.htm

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VI. Elzaki, T. and Hilal, M.A.,‘Solution of Linear and Non-Linear Partial Differential Equations Using Mixture of Elzaki Transform and the Projected Differential Transform Method,’ Mathematical Theory and Modeling, Vol. 2(4), pp. 50-59, (2012).

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DYNAMICS OF REINFORCED CONCRETE SLAB OF PEDESTRIAN BRIDGE WITH RIGID REINFORCEMENT

Authors:

Anatoly Alekseytsev, Vincent Kvočak, Dmitry Popov, Mohamad Al Ali

DOI NO:

https://doi.org/10.26782/jmcms.2024.11.00005

Abstract:

The article is devoted to the actual problem of studying the dynamic response of bent plate structures with reinforcement represented by rigid metal profiles. Such structures can be used in pedestrian bridges or other span structures. A finite element model is built by using the example of a pedestrian bridge slab with reinforcement in the form of steel T-shape profiles. Deformations of concrete, reinforcement, and rigid reinforcement bars are described by a system of solid and shell finite elements, that take into consideration modern models of physical, geometric, and structural nonlinearity. The dynamic impact is modeled at low speed in two variants. The first is a blast load is applied in the middle of the span according to a symmetrical scheme, and the second pursuant to an asymmetric scheme. The structural and inertial damping of vibrations of the damaged system is taken into account. In this case, an implicit integration method is used. The time variation of the dynamic load implies a residual mass of the impacting body that vibrates with the slab structure after the onset of impact. The bond between concrete and stiff rebar is evaluated by the level of cohesion stresses in the vicinity of the profile with maximum strains. The finite element model is verified with a full-scale experiment in which a slab with rigid reinforcement is built and tested. Numerical studies have shown that asymmetrical loading can have a more negative effect on the structure than symmetrical loading, with structure deflections varying by up to 42%. As a result, the effectiveness of experimental theoretical modeling of the dynamics of such structures is shown, which can be used for both typical and individual designs.

Keywords:

Dynamic load,Numerical simulation,Pedestrian bridge,Reinforced concrete.,

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NETWORK FUNCTION VIRTUALIZATION FOR UNDERWATER ACOUSTIC WIRELESS COMMUNICATION USING STOCHASTIC NETWORK CALCULUS

Authors:

T. C. Subash Ponraj, Rajeev Sukumaran

DOI NO:

https://doi.org/10.26782/jmcms.2020.11.00006

Abstract:

Wireless communication in marine environments is hindered by the unique properties of seawater and the rugged ocean floor. In contrast to land-based communication, underwater conditions are distinct due to the specific characteristics of seawater. This research explores the potential of Network Function Virtualization (NFV) to enhance the monitoring of seaweed farms and underwater properties. As seaweed production is vital for the development of nutritional products, biochemical compounds, and pharmacological research, optimizing its monitoring is crucial. The goal of this study is to leverage NFV to support various aquatic activities. To achieve this, a chain of Virtual Network Functions (VNFs) is proposed to manage service flows, capitalizing on the advancements in NFV. The research employs both simulation and analytical Stochastic Network Calculus (SNC) models to evaluate key performance indicators, including delay bounds, throughput, packet delivery ratio, and energy utilization. Notably, the SNC-based NFV model outperforms simulation results, demonstrating superior performance and potential for improved packet delivery and throughput.

Keywords:

Underwater acoustic wireless communication,Network Function Virtualization,Stochastic Network Calculus,Delay bound,

Refference:

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PATTERN SYNTHESIS USING RANDOM ARRAY ELEMENT WEIGHTS

Authors:

K. Ramya, G. S. N Raju, P. A. Sunny Dayal

DOI NO:

https://doi.org/10.26782/jmcms.2024.11.00007

Abstract:

It is well known that methods of pattern synthesis reported in the open literature are mostly conventional. The methods include either standard distribution, empirical techniques, or analytical techniques. Every method has its own advantages and disadvantages regarding the overall pattern structure. The pattern structure is characterized by the main lobe and the side lobe behavior in the case of the sum pattern. On the other hand, difference patterns are the patterns characterized by the two different lobes and side lobe structures. Sequentially generating sum and difference patterns is advantageous in IFF radar applications. To simplify the design procedure and improve the pattern characteristics, an attempt is made to use random weights as amplitude excitation. Interestingly, useful results are obtained. The sum and difference are designed using the random approach and are presented in the sinθ domain for the arrays of dipoles and microstrip elements. The results are helpful for the array design depending on the applications and user requirements.

Keywords:

Antenna array,difference pattern,pattern synthesis,sector beam,sum pattern,

Refference:

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FEATURE-BASED IMPLEMENTATION OF MACHINE LEARNING ALGORITHMS FOR CARDIOVASCULAR DISEASE PREDICTION

Authors:

H. Singh, R. Tripathy, P. Kumar Sarangi, U. Giri, S. Kumar Mohapatra, N. Rameshbhai Amin

DOI NO:

https://doi.org/10.26782/jmcms.2024.11.00008

Abstract:

In eukaryotic organisms, each and every organ takes a major role in ensuring the seamless functioning of the entire system. If we consider about heart then it is treated as a vital part of every human being. Heart-associated ailments are very frequent at present so it is essential to predict such illnesses. This prognosis and prediction of coronary heart-associated illnesses require a lot of accuracy so it must be finished in an environment-friendly manner due to the fact a small mistake can motivate the death of the person. To deal with this hassle there ought to be a gadget which can predict and create consciousness about diseases. It is challenging to decide the ailment manually primarily based on signs and hazard factors. But this ought to be solved with the use of Machine mastering techniques. Artificial brain (AI) in the shape of desktop studying (ML) allows software program purposes to predict results greater precisely whilst functioning unbiased of human input. This study employs various machine learning algorithms, including K-Nearest Neighbors, Support Vector Machine, Logistic Regression, Random Forest, Decision Tree, and Naïve Bayes, to assess their accuracy in predicting cardiovascular disease and related conditions This paper makes use of the UCI repository dataset for coaching and testing including some basic parameters such as age and sex. After applying all algorithms to our data set, the experimental results concluded that the Logistic Regression model has predicted well with highest accuracy of 92% in comparison with other algorithms.

Keywords:

Cardiovascular Disease,Decision Tree,KNN,ML Algorithms,SVM,Naïve Bayes,Random Forest,Logistic Regression,

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ROLE OF VACCINATION ON THE CO-INFECTION MODEL WITH COVID-19 ASSOCIATED WITH DIABETES

Authors:

Md. Abdul Hye, Md. Haider Ali Biswas, Mohammed Forhad Uddin

DOI NO:

https://doi.org/10.26782/jmcms.2024.11.00009

Abstract:

COVID-19 infection is particularly dangerous for individuals with comorbidities such as kidney disease and diabetes due to weakened immunity. While the pandemic has impacted people of all ages and socioeconomic backgrounds, those with underlying medical conditions are more susceptible to severe outcomes. However, the role of vaccination in the co-infection dynamics of COVID-19 among diabetic patients is not well-represented in the literature. This study examines the unique challenges presented by the co-infection of COVID-19 in individuals with diabetes, focusing on disease transmission dynamics. We employ a mathematical modeling approach using a seven-compartment model that incorporates vaccination and comorbidities like diabetes to analyze the dynamics of COVID-19 outbreaks. Analytical investigations were conducted to demonstrate the solutions' existence, boundedness, positivity, and sensitivity. After calculating the basic reproduction number, we performed a stability analysis of the model's equilibrium points. Our findings indicate that when the reproduction number is less than unity, the disease-free equilibrium is both locally and globally stable. Furthermore, as the vaccination rate increases, the incidence of COVID-19 and its co-infections with diabetes decreases. These results suggest that effective disease treatment strategies should consider the potential impact of vaccination on the co-infection of COVID-19 in diabetic patients.

Keywords:

COVID-19,Diabetes,Comorbidity,Co-infection,Vaccination,

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