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STRESS AND FATIGUE LIFE PREDICTION OF THE H-TYPE DARRIEUS VERTICAL AXIS TURBINE FOR MICRO-HYDROPOWER APPLICATIONS

Authors:

Intizar Ali, Shadi Khan Baloch, Saifullah Samo, Tanweer Hussain

DOI NO:

https://doi.org/10.26782/jmcms.2021.06.00003

Abstract:

The present study aims to analyze the structural behavior of the Darrieus Hydro-kinetic turbine at different upstream velocity values and rotational rates. For that purpose, one-way fluid-structure interaction is performed to predict stresses, deformation and fatigue life of the turbine. To determine real-time fluid loads three-dimensional fluid flow simulations were performed, the obtained fluid loads were transferred to the structural finite element analysis model. CFD simulation results were validated with experimental results from literature where the close agreement was noticed. Structural analysis results revealed that the highest stresses are produced in the struts and at the joint where the shaft is connected with struts. Moreover, it was also found that the stress produced in the turbine is highly non-linear against Tip Speed Ratio (TSR) i.e inflow water velocity. Finite Element Analysis (FEA) results showed that maximum values of stresses were found in the turbine strut having a value 131.99MPa, which lower than the yield strength of the material, the fatigue life of 117520 cycles and factor of safety 1.89. The study also found that increased inflow velocity results increase in stress and deformation produced in the turbine. Additionally, the study assumed Aluminum Alloy as turbine blade material, further; it was found that the blade which confronts flow, experience higher stresses. Moreover, the study concluded that strut, blade-strut joint and strut-shaft joint are the critical parts of the turbine, require careful design consideration. Furthermore, the study also suggests that the turbine blade may be kept hollow to reduce turbine weight; hence inertia and turbine struts and shaft should be made of steel or the material having higher stiffness and strength.

Keywords:

Structural loading,Hydrokinetic turbine,Turbine stress analysis,deflection,fatigue life,Factor of safety,

Refference:

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NUMERICAL SOLUTION OF THE PARTIAL DIFFERENTIAL EQUATION USING RANDOMLY GENERATED FINITE GRIDS AND TWO-DIMENSIONAL FRACTIONAL-ORDER LEGENDRE FUNCTION

Authors:

Sanaullah Mastoi, Wan Ainun Mior othman, Umair Ali, Umair Ahmed Rajput, Ghulam Fizza

DOI NO:

https://doi.org/10.26782/jmcms.2021.06.00004

Abstract:

There are various methods to solve the physical life problem involving engineering, scientific and biological systems. It is found that numerical methods are approximate solutions. In this way, randomly generated finite difference grids achieve an approximation with fewer iterations. The idea of randomly generated grids in cartesian coordinates and polar form are compared with the exact, iterative method, uniform grids, and approximate solutions in a generalized expansion form of two-dimensional fractional-order Legendre functions. The most ideal and benchmarking method is the finite difference method over randomly generated grids on Cartesian coordinates, polar coordinates used for numerical solutions. This concept motivates the investigation of the effects of the randomly generated meshes. The two-dimensional equation is solved over randomly generated meshes to test randomly generated grids and the implementation. The feasibility of the numerical solution is analyzed by comparing simulation profiles.

Keywords:

Partial differential equation,Finite difference method,Polar coordinates,Randomly generated grids,Uniform meshes,fractional-order Legendre functions,

Refference:

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A NOVEL FUZZY ENTROPY MEASURE AND ITS APPLICATION IN COVID-19 WITH FUZZY TOPSIS

Authors:

Razia Sharif, Zahid Hussain, Shahid Hussain, Sahar Abbas, Iftikhar Hussain

DOI NO:

https://doi.org/10.26782/jmcms.2021.06.00005

Abstract:

Fuzzy sets (FSs) are an important tool to model uncertainty and vagueness. Entropy is being used to measure the fuzziness within a fuzzy set (FS). These entropies are used to find multicriteria decision-making. For measuring uncertainty with TOPSIS techniques an axiomatic definition of entropy measure for fuzzy sets is also given in this paper. The proposed entropy is provided to satisfy all the axioms. Several numerical examples are presented to compare the proposed entropy measure with existing entropies. The corresponding results show that the newly proposed entropy can be computed easily and give reliable results. Finally, the decision-making algorithm TOPSIS (Techniques of ordered preference similarity to ideal solution) is utilized to solve multicriteria decision-making problems (MCDM) related to daily life.  In the current situation, COVID-19 has no proper medical treatment. We use TOPSIS technique to suggest an effective medicine for this pandemic. Numerical results and practical examples show the effectiveness and practical applicability of the proposed entropy.

Keywords:

Fuzzy entropy,TOPSIS,Uncertainty,Multicriteria Decision Making,

Refference:

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SIMILARITY MEASURES OF PYTHAGOREAN FUZZY SETS WITH APPLICATIONS TO PATTERN RECOGNITION AND MULTICRITERIA DECISION MAKING WITH PYTHAGOREAN TOPSIS

Authors:

Zahid Hussain, Sahar Abbas , Shahid Hussain, Zaigham Ali, Gul Jabeen

DOI NO:

https://doi.org/10.26782/jmcms.2021.06.00006

Abstract:

The construction of divergence measures between two Pythagorean fuzzy sets (PFSs) is significant as it has a variety of applications in different areas such as multicriteria decision making, pattern recognition and image processing. The main purpose of this study to introduce an information-theoretic divergence so-called Pythagorean fuzzy Jensen-Rényi divergence (PFJRD) between two PFSs. The strength and characterization of the proposed Jensen-Rényi divergence between Pythagorean fuzzy sets lie in its practical applications which are very closed to real life. The proposed divergence measure is utilized to induce some useful similarity measures between PFSs. We apply them in pattern recognition, characterization of the similarity between linguistic variables and in multiple criteria decision making. To demonstrate the practical utility and applicability, we present some numerical examples related to daily life with the construction of Pythagorean fuzzy TOPSIS (Techniques of preference similar to ideal solution). Which is utilized to rank the Belt and Road initiative (BRI) projects. Our numerical simulation results show that the suggested measures are well suitable in pattern recognition, characterization of linguistic variables and multi-criteria decision-making environment.

Keywords:

Divergence measure,Intuitionistic fuzzy set (IFS),Pythagorean fuzzy set (PFS),Pattern recognition,similarity measure,multicriteria decision making,

Refference:

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OPTIMIZATION OF DISSIMILAR FRICTION STIR WELDED ALUMINUM PATES (2024 T3 AND 7075T6) BY USING DIFFERENT METHODS

Authors:

Rasha M. Hussien, Mohsin Abdullah Al-Shammari

DOI NO:

https://doi.org/10.26782/jmcms.2021.06.00007

Abstract:

Friction stir welding (FSW) has many advantages when compared with another fusion welding. The experimental analysis and optimization of friction stir welding (FSW) were done to obtain desired mechanical properties of dissimilar aluminum welded plates (2024T3 and 7075T6). The friction stir welding process was done on aluminum plates (2024T3 and 7075T6) for different three rotating speeds (710, 1120 and 1800), three welding speeds (25, 50 and 77), three different steel tools (Square, cylindrical and Hexagonal) and 2° title angle. The different tests of welding were done according to the orthogonal matrix of experimental design analysis, then a tensile test was done to calculate the ultimate stress to get the welding efficiency. The optimum welding environment led to the maximum efficiency was obtained by these methods (Taguchi, Particle Swarm Optimization and new modified Particle Swarm Optimization).  Particle swarm optimization (and its new modification) used an artificial neural network to find the relation between the input and output parameters. The results showed that when the rotating speed is increased and welding speed is decreased (but this conclusion depends on tool shape) the welding efficiency is increased. The present study showed that the modified PSO is the best method to find the optimum welding environment as compared with experimental results.

Keywords:

dissimilar aluminum plates,Particle Swarm Optimization,Taguchi,

Refference:

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VII. Lam Suvarna Raju, Venu Borigorla, : ‘MULTI OBJECTIVE OPTIMIZATION OF FSW PROCESS PARAMETERS USING GENETIC ALGORITHM AND TLBO ALGORITHM’. J. Mech. Cont.& Math. Sci., Vol.-15, No.-7, July (2020) pp 480-494. DOI : 10.26782/jmcms.2020.07.00042
VIII. Masayuki Aonuma and Kazuhiro Nakata, “Dissimilar Metal Joining of 2024 and 7075 Aluminum Alloys to Titanium Alloys by Friction Stir Welding”, Materials Transactions, Vol. 52, No. 5 (2011) pp. 948 to 952.
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XIV. Radhika chada, N. Shyam Kumar, : ‘INVESTIGATION OF MICRO STRUCTURE AND MECHANICAL PROPERTIES OF FRICTION STIR WELDED AA6061 ALLOY WITH DIFFERENT PARTICULATE REINFORCEMENTS ADDITION’. J. Mech. Cont.& Math. Sci., Vol.-15, No.-4, April (2020) pp 264-278. DOI : 10.26782/jmcms.2020.04.00020.
XV. Rasha M Hussien and Mohsin Abdullah Al-Shammari, “Optimization of Friction Stir Welded Aluminium Plates by the New Modified Particle Swarm Optimization”, IOP Conference Series: Materials Science and Engineering2021 IOP Conf. Ser.: Mater. Sci. Eng. 1094 (2021) 012156, doi:10.1088/1757-899X/1094/1/012156.
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NUMERICAL ITERATIVE METHOD OF OPEN METHODS WITH CONVERGE CUBICALLY FOR ESTIMATING NONLINEAR APPLICATION EQUATIONS

Authors:

Umair Khalid Qureshi, Prem kumar, Feroz Shah, Kamran Nazir Memon

DOI NO:

https://doi.org/10.26782/jmcms.2021.06.00008

Abstract:

Finding the single root of nonlinear equations is a classical problem that arises in a practical application in Engineering, Physics, Chemistry, Biosciences, etc. For this purpose, this study traces the development of a novel numerical iterative method of an open method for solving nonlinear algebraic and transcendental application equations. The proposed numerical technique has been founded from Secant Method and Newton Raphson Method, and the proposed method is compared with the Modified Newton Method and Variant Newton Method. From the results, it is pragmatic that the developed numerical iterative method is improving iteration number and accuracy with the assessment of the existing cubic method for estimating a single root nonlinear application equation.

Keywords:

applications equations,cubic methods,open methods,convergence,results,

Refference:

I. Adnan Ali Mastoi , Muhammad Mujtaba Shaikh, Abdul Wasim Shaikh. ‘A NEW THIRD-ORDER DERIVATIVE-BASED ITERATIVE METHOD FOR NONLINEAR EQUATIONS’. J. Mech. Cont.& Math. Sci., Vol.-15, No.-10, October (2020) pp 110-123. DOI : 10.26782/jmcms.2020.10.00008
II. Akram, S. and Q. U. Ann., (2015), Newton Raphson Method, International Journal of Scientific & Engineering Research, Vol. 6.
III. Allame M., and N. Azad, (2012), On Modified Newton Method for Solving a Nonlinear Algebraic Equations by Mid-Point, World Applied Sciences Journal, Vol. 17(12), pp. 1546-1548, ISSN 1818-4952 IDOSI Publications.
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VII. John, H. M., An Improved Newton Raphson Method, California State University, Fullerton, Vol.10.

VIII. Kang, S. M., (2015), Improvements in Newton-Raphson Method for Non-linear Equations Using Modified Adomian Decomposition Method, International Journal of Mathematical Analysis Vol. 9.
IX. Qureshi, U. K., (2017), Modified Free Derivative Open Method for Solving Non-Linear Equations, Sindh University Research Journal, Vol.49(4), pp. 821-824.
X. Qureshi, U. K. and A. A. Shaikh, (2018), Modified Cubic Convergence Iterative Method for Estimating a Single Root of Nonlinear Equations, J. Basic. Appl. Sci. Res., Vol. 8(3) pp. 9-13.
XI. Rajput, k., A. A. Shaikh and S. Qureshi, “Comparison of Proposed and Existing Fourth Order Schemes for Solving Non-linear Equations, Asian Research Journal of Mathematics, Vol. 15, No. 2, pp.1-7, 2019.
XII. Sehrish Umar, Muhammad Mujtaba Shaikh, Abdul Wasim Shaikh, : A NEW QUADRATURE-BASED ITERATIVE METHOD FOR SCALAR NONLINEAR EQUATIONS. J. Mech. Cont.& Math. Sci., Vol.-15, No.-10, October (2020) pp 79-93. DOI : 10.26782/jmcms.2020.10.00006.
XIII. Singh, A. K., M. Kumar and A. Srivastava, (2015), A New Fifth Order Derivative Free Newton-Type Method for Solving Nonlinear Equations, Applied Mathematics & Information Sciences an International Journal,Vol.9(3), pp. 1507-1513.
XIV. Somroo, E., (2016), On the Development of a New Multi-Step Derivative Free Method to Accelerate the Convergence of Bracketing Methods for Solving, Sindh University Research Journal (Sci. Ser.) Vol. 48(3), pp. 601-604.
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XVI. Umer, S., M. M. Shaikh, A. W. Shaikh, A New Quadrature-Based Iterative Method For Scalar Nonlinear Equations, J. Mech. Cont.& Math. Sci., Vol.-15, No.-10, October (2020) pp 79-93.
XVII. Weerakoon, S. And T. G. I. Fernando, A Variant of Newton’ s Method with Accelerated Third-Order Convergence, Applied Mathematics Letters Vol. 13, pp. 87-93.

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ANALYSIS OF THERMOLUMINESCENCE GLOW CURVES RECORDED UNDER THE HYPERBOLIC HEATING SCHEME BY USING AN ALTERNATIVE CONCEPT OF SYMMETRY

Authors:

Sk. Azharuddin, Indranil Bhattacharyya, Ananda Sarkar, Sukhamoy Bhattacharyya, P. S. Majumdar, S. Ghosh

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00001

Abstract:

Usually, the order of kinetics of thermoluminescence (TL) glow curve is evaluated by using the concept of traditional symmetry factor (μ_g) in which only three points of a glow curve are used. From the statistical point of view of the reliability of any method of analysis of glow, curve improves if instead of a few points the method can use a larger portion of the glow curve. In the present work, a technique is proposed to determine the order of kinetics associated with a TL peak by using the concept of skewness. The method is applied to experimental thermoluminescence (TL) curves recorded in a hyperbolic heating scheme.

Keywords:

Thermoluminescence,hyperbolic heating scheme,skewness,order of kinetics,

Refference:

I. C. Christodoulides, J Phys D 19, 1555 (1986).
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VII. M. R. Spigel and L. J. Stephens, Theory and Problems of Statistics, 3rd edition, (Tata McGrawHill), New Delhi (2000).
VIII. N. G. Das, Statistical Methods, (McGrawHill Education), New Delhi, (2012).
IX. R. Chen and S. W. S. McKeever, Theory of Thermoluminescence and Related Phenomena, (World Scientific, Singapore), (1997).
X. R. Chen, J. Electrochem. Soc. 116, 1254 (1969).
XI. R. Chen and Y. Kirsh, : ‘Analysis of Thermally stimulated Processes’, (Pergamon, Oxford), (1981).
XII. D. C. Sanyal and K. Das, : ‘Introduction to Numerical Analysis’, (U. N. Dhar, Kolkata), (2012).
XIII. S. K. Azharuddin, B. Ghosh S. Ghosh and P. S. Majumdar. : ‘On the Suitability of Peak Shape Method for the Analysis of Thermoluminescence in Different Models’, J. Mech. Cont. & Math. Sci., Vol.-13, No.-4, September-October (2018) Pages 29-38.
XIV. S. K. Azharuddin, B. Ghosh, A. Sarkar, S. Bhattacharyya and P. S. Majumdar. : ‘On the applicability of Initial Rise and Peak Shape methods for Thermoluminescence peaks recorded under hyperbolic heating profile for OTOR and IMTS models’. J. Mech. Cont. & Math. Sci., Vol.-14, No.2, March-April (2019) pp 121-131. DOI : 10.26782/jmcms.2019.04.00010
XV. S. K. Azharuddin, S. D. Singh and P. S. Majumdar. : ‘ON THE PEAK SHAPE METHOD OF THE DETERMINATION OF ACTIVATION ENERGY AND ORDER OF KINETICS IN THERMOLUMINESCENCE RECORDED WITH HYPERBOLIC HEATING PROFILE’. J. Mech. Cont. & Math. Sci., Vol.-12, No.-2, January (2018) Pages 10-20.
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NOVEL ENTROPY MEASURE OF A FUZZY SET AND ITS APPLICATION TO MULTICRITERIA DECISION MAKING WITH FUZZY TOPSIS

Authors:

Manzoor Hussain, Zahid Hussain, Razia Sharif, Sahar Abbas

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00002

Abstract:

Fuzzy entropy is being used to measure the uncertainty with high precision and accuracy than classical crisp set theory. It plays a vital role in handling complex daily life problems involving uncertainty. In this manuscript, we first review several existing entropy measures and then propose novel entropy to measure the uncertainty of a fuzzy set. We also construct an axiomatic definition based on the proposed entropy measure. Numerical comparison analysis is carried out with existing entropies to show the reliability and practical applicability of our proposed entropy measure. Numerical results show that our suggested entropy is reasonable and appropriate in dealing with vague and uncertain information. Finally, we utilize our proposed entropy measure to construct fuzzy TOPSIS (Technique for Ordering Preference by Similarity to Ideal Solution) method to manage Multicriteria decision-making problems related to daily life settings. The final results demonstrate the practical effectiveness and applicability of our proposed entropy measure

Keywords:

Fuzzy sets,Entropy measure,Uncertainty,TOPSIS,Multicriteria decision making,

Refference:

I. Chen, S. M., Cheng, S. H., & Chiou, C. H. (2016). Fuzzy multiattribute group decision making based on intuitionistic fuzzy sets and evidential reasoning methodology. Information Fusion, 27, 215-227.
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III. Ebanks, B. R. (1983). On measures of fuzziness and their representations. Journal of Mathematical Analysis and Applications, 94(1), 24-37.
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V. Higashi, M., & Klir, G. J. (1982). On measures of fuzziness and fuzzy complements.
VI. Hussain, Z., & Yang, M. S. (2018). Entropy for hesitant fuzzy sets based on Hausdorff metric with construction of hesitant fuzzy TOPSIS. International Journal of Fuzzy Systems, 20(8), 2517-2533.
VII. Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making, 58-191.
VIII. Hwang, W.L. & Yang, M-S. (2008). On entropy of fuzzy sets, Int. J. of Uncertainty, Fuzziness and Knowledge-Based Sys, 4, 519 –527.
IX. Joshi, R., & Kumar, S. (2016). A new approach in multiple attribute decision making using R-norm entropy and Hamming distance measure. International Journal of Information and Management Sciences, 27(3), 253-268.
X. Kosko, B. (1986). Fuzzy entropy and conditioning. Information sciences, 40(2), 165-174.
XI. Li, P., & Liu, B. (2008). Entropy of credibility distributions for fuzzy variables. IEEE Transactions on Fuzzy Systems, 16(1), 123-129.
XII. Liang, D., & Xu, Z. (2017). The new extension of TOPSIS method for multiple criteria decision making with hesitant Pythagorean fuzzy sets. Applied Soft Computing, 60, 167-179.

XIII. Meng, F., & Chen, X. (2014). An approach to interval-valued hesitant fuzzy multi-attribute decision making with incomplete weight information based on hybrid Shapley operators. Informatica, 25(4), 617-642.
XIV. Pal, N. R., & Pal, S. K. (1992). Higher order fuzzy entropy and hybrid entropy of a set. Information Sciences, 61(3), 211-231.
XV. Razia Sharif, Zahid Hussain, Shahid Hussain, Sahar Abbas, Iftikhar Hussain, ‘A NOVEL FUZZY ENTROPY MEASURE AND ITS APPLICATION IN COVID-19 WITH FUZZY TOPSIS’. J. Mech. Cont. & Math. Sci., Vol.-16, No.-6, June (2021) pp 52-63. DOI : 10.26782/jmcms.2021.06.00005.
XVI. Shannon, C. E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3), 379-423.
XVII. Xu, L., & Yang, J. B. (2001). Introduction to multi-criteria decision making and the evidential reasoning approach (Vol. 106). Manchester: Manchester School of Management.
XVIII. Yager, R. R. (1979). On the measure of fuzziness and negation part I: membership in the unit interval, 221-229.
XIX. Zadeh, L. A. (1965). Information and control. Fuzzy sets, 8(3), 338-353.
XX. Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning—II. Information sciences, 8(4), 301–357.
XXI. Zahid Hussain, Sahar Abbas, Shahid Hussain, Zaigham Ali, Gul Jabeen. : ‘SIMILARITY MEASURES OF PYTHAGOREAN FUZZY SETS WITH APPLICATIONS TO PATTERN RECOGNITION AND MULTICRITERIA DECISION MAKING WITH PYTHAGOREAN TOPSIS’. J. Mech. Cont. & Math. Sci., Vol.-16, No.-6, June (2021) pp 64-86. DOI : 10.26782/jmcms.2021.06.00006.
XXII. Zimmermann, H.J. (1991). Fuzzy set theory and its applications, Google Scholar Google Scholar Digital Library Digital Library, (1985).

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SENTIMENT ANALYSIS OF CURRENT TRENDING TOPICS ON TWITTER USER BASE

Authors:

Zeeshan Rasheed, Naeem Ahmed Ibupoto, Syeda Surriya Bano, Sheeraz Ahmed

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00003

Abstract:

Twitter has now become the most common social platform to express views on any topic. A micro-blogging social media offers a way for people around the world to show their sentiments about any political, social and cultural subject of the time. In this paper, the sentimental analysis approach has been used to analyze the positive and negative sentiments of Twitter users about some top trending #tags around the globe. The data has been collected between the duration of March to April 2021. The collected data were processed by using the Python program and then transformed our data set with the help of the SQL database. We have used graphs and tables to present the data, collected under three hashtags; which were top trending topics on that particular era. The tweets were elaborated by positive, negative and neutral sentiments which were depicted in graphs. It is clear from the results and comparison that social media has a strong influence in the present era and can be highly helpful to use as a predictor of any political, social situation prevailing in any country or worldwide. It has also been helpful for business communities to analyze their products in the same manner to improve their business growth.

Keywords:

social platform,social media,#tags,SQL,SA,API,

Refference:

I. A. Giachanou and F. Crestani, ‘Like It or Not: A Survey of Twitter Sentiment Analysis Methods,’ ACM Comput. Surv., vol. 49, no. 2, pp. 1-41, 2016
II. Diakopoulos, N. & Shamma, D., 2010. Characterizing Debate Performance via Aggregated Twitter Sentiment. Proceedings of the 28th int. conference on Human factors in computing systems. Go, A., Bhayani, R. & Huang, L., 2009. Twitter Sentiment Classification using Distant Supervision.”
III. https://en.m.wikipedia.org/wiki/Instagram
IV. Koyel Chakraborty, Sudeshna Sani, Rajib Bag,: ‘A STUDY ON SENTIMENT POLARITY IDENTIFICATION OF INDIAN MULTILINGUAL TWEETS THROUGH DIFFERENT NEURAL NETWORK MODELS’. J. Mech. Cont.& Math. Sci., Vol.-15, No.-1, January (2020) pp 108-117. DOI : 10.26782/jmcms.2020.01.00008.
V. Larsen, Peder Olesen, and Markus von Ins. ‘The Rate of Growth in Scientific Publication and the Decline in Coverage Provided by Science Citation Index.’, Scientometrics 84.3 (2010): 575–603. PMC. Web. 25 Sept. 2015.”
VI. Liu, Bing, and Lei Zhang. ‘A survey of opinion mining and Sentiment Analysis (SA). Mining text data. Springer, Boston, MA, 2012. 415-463.”
VII. Omar bin Md Din, Abdul Ghani Bin Md Din, Rusdee Taher, Abduloh Usof, Prasert Panprae, Yousef A. Baker El-Ebiary. : ‘WEB CONTEXT AND THE MULTIPLE SEMANTIC LINGUISTIC ORIGINS AND ITS IMPACTS ON THE PROPHET’S TEXT. J. Mech. Cont.& Math. Sci., Vol.-15, No.-7, July (2020) pp 392-404. DOI : 10.26782/jmcms.2020.07.00033.
VIII. Polk, Alexander, and Patrick Paroubek. ‘Twitter as a corpus for Sentiment Analysis (SA) and opinion mining.’ LREc. Vol. 10. No. 2010. 2010.”
IX. Selmer, Øyvind, et al. ‘NTNU: Domain semi-independent short message sentiment classification.’ Second Joint Conference on Lexical and Computational Semantics (* SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). Vol. 2. 2013.”
X. Turney, Peter D. ‘Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews.’ Proceedings of the 40th annual meeting in association for computational linguistics. Association for Computational Linguistics, 2002.”
XI. Twitter – Wikipedia.

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PERFORMANCE EVALUATION OF VOLTAGE RECTIFIERS FOR ENERGY HARVESTING APPLICATIONS

Authors:

Atif Sardar Khan, Nasir Ullah Khan, Wahad Ur Rahman, Muhammad Masood Ahmad, Hamid Khan, Farid Ullah Khan

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00004

Abstract:

Voltage multipliers are used to convert the low AC voltage output of energy harvesters into relatively high DC voltage for portable devices and wireless sensor nodes (WSNs) applications. DC voltage conversion is required to operate an electronic device or recharge battery. In order, to convert the low AC voltage output of the energy harvester into relatively high DC voltage, a voltage multiplier circuit need to be integrated with the energy harvester. In this study, a Prototype-1 (two-stages) and Prototype-2 (three-stage) Dickson voltage multipliers and Prototype-3 (seven-stage) Cockcroft-Walton voltage multiplier circuits are developed. The device is capable of converting a low voltage of 50 mV into 350 mV. The research focuses on the development and characterization of Prototype-1, Prototype-2 and Prototype-3 circuits. Results indicate that the determination of load resistance is important for better output power. The maximum power of 11.97 μW was obtained by prototype-3 elucidating better power compared to prototype-1 and prototype-2 and the power was obtained at an optimum load of 560 kΩ. Furthermore, a rectenna tested at different distances from the source, revealed that a prototype-2 produced a maximum power of 3.01 × 10 -6 μW, at an optimum load of 560 kΩ.

Keywords:

Voltage multipliers,energy harvesters,AC to DC,rectifier,low voltage,flow-based,RF,

Refference:

I. Ahmad M M, Khan F U. Review of vibration-based electromagnetic–piezoelectric hybrid energy harvesters. Int J Energy Res. 2020;1–40. https://doi.org/10.1002/er.6253
II. Ahmad MM, Khan NM, Khan FU. Review of frequency up-conversion vibration energy harvesters using impact and plucking mechanism. Int J Energy Res. 2021;1–37. https://doi.org/10.1002/er.6832
III. Akyildiz, I.F., et al., A survey on sensor networks. IEEE Communications magazine, 2002. 40(8): p. 102-114.
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NUMERICAL HYBRID ITERATIVE TECHNIQUE FOR SOLVING NONLINEAR EQUATIONS IN ONE VARIABLE

Authors:

W. A. Shaikh, A. G. Shaikh, M. Memon, A. H. Sheikh, A. A. Shaikh

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00005

Abstract:

In recent years, some improvements have been suggested in the literature that has been a better performance or nearly equal to existing numerical iterative techniques (NIT). The efforts of this study are to constitute a Numerical Hybrid Iterative Technique (NHIT) for estimating the real root of nonlinear equations in one variable (NLEOV) that accelerates convergence. The goal of the development of the NHIT for the solution of an NLEOV assumed various efforts to combine the different methods. The proposed NHIT is developed by combining the Taylor Series method (TSM) and Newton Raphson's iterative method (NRIM). MATLAB and Excel software has been used for the computational purpose. The developed algorithm has been tested on variant NLEOV problems and found the convergence is better than bracketing iterative method (BIM), which does not observe any pitfall and is almost equivalent to NRIM.

Keywords:

Numerical hybrid iterative technique,Nonlinear equations in one variable,Bracketing iterative method,Newton Raphson's iterative method,Taylor series method,

Refference:

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XVI. Sanaullah Jamali1, Zubair Ahmed Kalhoro, Abdul Wasim Shaikh, Muhammad Saleem Chandio. ‘AN ITERATIVE, BRACKETING & DERIVATIVE-FREE METHOD FOR NUMERICAL SOLUTION OF NON-LINEAR EQUATIONS USING STIRLING INTERPOLATION TECHNIQUE’. J. Mech. Cont. & Math. Sci., Vol.-16, No.-6, June (2021) pp 13-27. DOI : 10.26782/jmcms.2021.06.00002.
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SUPPRESSION OF WHITE NOISE FROM THE MIXTURE OF SPEECH AND IMAGE FOR QUALITY ENHANCEMENT

Authors:

Tabassum Feroz, Uzma Nawaz

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00006

Abstract:

This study proposed a correlation analysis of two recent approaches. The FAST ICA technique is used for the separation of the multimodal data (i.e, mixture of audio, noise and image signal) and the minimum mean-square error (MMSE) is used for the removal of white noise from the audio signal. Initially, multimodal data will be formed by combining all the three signals (i.e. a mixture of audio, noise and image signals). For creating an ideal situation and for SNR comparisons, separation of the signals will be performed using the Fast ICA technique. ICA, Independent element analysis is a recently developed technique in which the goal is to seek a linear interpretation of non-Gaussian knowledge for the elements to be as statistically free as possible. Such representations record the key structure of the data in several applications, including signal quality and signal separation. ICA learns a linear decay of the data. ICA can find the basic elements and sources included in the data found where traditional methods fail. After the separation of the mixed data, denoising will be performed using the MMSE technique. The main purpose of the MMSE technique is to remove White Noise from the unmixed audio signal which will be further used for overall and segmental SNR comparisons for quality enhancement. Based on the designed algorithms, both of these techniques are real-time data-driven programs. These techniques are explored with standard De-noising methods using several different estimation methods like signal-to-noise ratio (SNR). Experimental results prove that the proposed MMSE technique works well for both noise segmentation and overall consideration of noise distortion signals. These statistical techniques can be used in many applications, such as in different communication systems to eliminate background noise and in channels to reduce channel interference between different applications in speech communications

Keywords:

Minimum Mean Square Error (MMSE),Filtering and Thresholding Techniques,Additive White Gaussian Noise (AWGN),Signal-to-Noise Ratio (SNR),Fast ICA,Whitening,Centering,

Refference:

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DISCOVERING HIDDEN CLUSTER STRUCTURES IN CITIZEN COMPLAINT CALL VIA SOM AND ASSOCIATION RULE TECHNIQUE

Authors:

Soma Gholamveisy

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00007

Abstract:

Significant revolution in different organizations chief’s point of view toward customer treating and the level of product presentation or services resulted in redefining the structure of these organizations based on this point of view. The municipal services are very important as well. The strategy of “CRM” which was so successful in the private sector and has been applying as “CiRM” in the public sector of developed countries could be very useful for this achievement. The main goal of citizen management is realizing the citizen's needs and demands, improving communication through connection with citizens and optimizing it to increase the level of their satisfaction. The government agencies do it based on their idea and point of view cause the citizen are valuable assets in the planning of services and reduction of costs. This study proposes a combined data mining method to discover hidden knowledge in call citizen compliant of the municipality of Tehran. A Self-organizing map neural network was used to identifying and classifying citizen needs based on RFM analysis. It also classified citizen needs into three majors. the result of classification and clustering of SOM has created a new feature to profiled call’s customer to identify temporal-spatial patterns of problems by using an association rule with the Apriori algorithm. The results of this idea demonstrate that accordance of citizens call compliant in a different area and discovering hidden knowledge can facilitate the performance of human recourse in improving services to citizens.

Keywords:

citizen management,data mining,RFM-SOM algorithm,Apriori algorithm,a new feature ,

Refference:

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ON SOME NEW HERMITE – HADAMARD DUAL INEQUALITIES

Authors:

Muhammad Bilal, Asif R. Khan

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00008

Abstract:

In this article, we would like to introduce some new types of convex function, which we named quasi convex function and convex function. With the help of these new notions we would also state the well-known Hermite Hadamard dual inequalities which we call Hermite Hadamard dual inequality for quasi convex function and convex function, respectively. In this way various new results related to Hermite Hadamard inequalities would be obtained and some would be captured as special cases by varying different values of .

Keywords:

Hermite–Hadamard dual inequality,p–convex function,quasi-convex function,P–convex function,

Refference:

I. Ambreen Arshad and Asif Raza Khan, Hermite-Hadamard-Fejer type inequalities for s-p-convex functions of several senses, TJMM, 11 (2019), 25–40.
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VII. I ̇mdat Iscan, Selim Nauman and Kerim Bekar, Hermaite-Hadamard and Simpson type inequalities for differentiable harmonically P-convex functions, British. J. Math. & Comp., 4 (14) (2014), 1908–1920.
VIII. Jaekeun Park, Hermite-Hadamard and Simpson-like type inequalities for differentiable Harmonically Quasi-convex functions, Int. J. Math. Anal., 8(33), (2014), 1692–1645.
IX. Mehmet Kunt and I ̇mdat Iscan, Hermite-Hadamard-Fejer type inequalities for p-convex functions, Arab. J. Math., 23(1), (2017), 215–230.
X. Muhammad Aslam Noor, Khalida Inayat Noor, Marcela Mihai and Muhammad Uzair Awan, Hermite-Hadamard inequalities for differentiable p-convex functions using hypergeometric functions, Publications de L’Institut Mathematique, 100(114), (2015), 251–257.
XI. Muhammad Bilal and Asif Raza Khan, New Generalized Hermite-Hadamard Inequalities for p-convex functions in the mixed kind, EJPAM (Accepted), 2021.
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INTUITIONISTIC FUZZY ENTROPY AND ITS APPLICATIONS TO MULTICRITERIA DECISION MAKING WITH IF-TODIM

Authors:

Sahar Abbas, Zahid Hussain, Shahid Hussain, Razia Sharif, Sadaqat Hussain

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00009

Abstract:

The intuitionistic fuzzy entropy (IFE) is being used to measure the degree of uncertainty of a fuzzy set (FS) with alarming accuracy and precision more accurately than the fuzzy set theory. Entropy plays a very important role in managing the complex issues efficiently which we often face in our daily life. In this paper, we first review several existing entropy measures of intuitionistic fuzzy sets (IFSs) and then suggest two new entropies of IFSs better than the existing ones. To show the efficiency of proposed entropy measures over existing ones, we conduct a numerical comparison analysis. Our entropy methods are not only showing better performance but also handle those IFSs amicably which the existing method fails to manage.  To show the practical applicability and reliability, we utilize our methods to build intuitionistic fuzzy Portuguese of interactive and multicriteria decision making      (IF-TODIM) method. The numerical results show that the suggested entropies are convenient and reasonable in handling vague and ambiguous information close to daily life matters.

Keywords:

Intuitionistic Fuzzy Sets,Entropy Measure,Multicriteria Decision Making,IF-TODIM,

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