Journal Vol – 16 No -7, July 2021

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:

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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:

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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:

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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.
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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
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V. Bibhu Prasad Ganthia, Subrat Kumar Barik, Byamakesh Nayak, : ‘APPLICATION OF HYBRID FACTS DEVICES IN DFIG BASED WIND ENERGY SYSTEM FOR LVRT CAPABILITY ENHANCEMENTS’. J. Mech. Cont.& Math. Sci., Vol.-15, No.-6, June (2020) pp 245-256. DOI : 10.26782/jmcms.2020.06.00019
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XII. E. M. Ali, N. Z. Yahaya, N. Perumal, M. A. Zakariya. Development of Cockcroft‐Walton voltage multiplier for RF energy harvesting applications. Journal of Scientific Research and Development 3 (3): 47-51, 2016.
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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:

I. A. Sidi, “Unified treatment of regula falsi, Newton–Raphson, secant, and Steffensen methods for nonlinear equations, J,” Online Math. Appl, vol. 6, 2006.
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III. D. Babajee and M. Dauhoo, ‘An analysis of the properties of the variants of Newton’s method with third order convergence,’ Applied Mathematics and Computation, vol. 183, no. 1, pp. 659–684, 2006.
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V. M. A. Noor and F. Ahmad, ‘Numerical comparison of iterative methods for solving nonlinear equations,’ Applied mathematics and computation, vol. 180, no. 1, pp. 167–172, 2006.
VI. M. A. Noor, F. Ahmad, and S. Javeed, ‘Two-step iterative methods for nonlinear equations,’ Applied Mathematics and Computation, vol. 181, no. 2, pp. 1068–1075, 2006.
VII. M. Allame and N. Azad, “On Modified Newton Method for Solving a Nonlinear Algebraic Equations by Mid-Point,” World Applied Sciences Journal, vol. 17, no. 12, pp. 1546–1548, 2012.
VIII. M. Frontini and E. Sormani, “Modified Newton’s method with third-order convergence and multiple roots,” Journal of computational and applied mathematics, vol. 156, no. 2, pp. 345–354, 2003.
IX. M. Frontini and E. Sormani, “Third-order methods from quadrature formulae for solving systems of nonlinear equations,” Applied Mathematics and Computation, vol. 149, no. 3, pp. 771–782, 2004.
X. M. M. Moheuddin, M. J. Uddin, and M. Kowsher, “A new study to find out the best computational method for solving the nonlinear equation”.
XI. N. Bićanić and K. Johnson, “Who was ‘–Raphson’?,” International Journal for Numerical Methods in Engineering, vol. 14, no. 1, pp. 148–152, 1979.
XII. N. Ujević, “A method for solving nonlinear equations,” Applied mathematics and computation, vol. 174, no. 2, pp. 1416–1426, 2006.
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XV. S. Abbasbandy, “Improving Newton–Raphson method for nonlinear equations by modified Adomian decomposition method,” Applied Mathematics and Computation, vol. 145, no. 2–3, pp. 887–893, 2003.
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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XX. X. Wu and D. Fu, “New high-order convergence iteration methods without employing derivatives for solving nonlinear equations,” Computers & Mathematics with Applications, vol. 41, no. 3–4, pp. 489–495, 2001.

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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:

I. A Rapid Match Algorithm for Continuous Speech Recognition by Laurence S. Gillick and Robert Roth Dragon Systems, Inc. 90 Bridge St. Newton MA. 02158.
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III. Blind Separation of Sources: A Non-Linear Neural Algorithm Gilles BUREL (1992).
IV. D. Marr; E. Hildreth Proceedings of the Royal Society of London. Series B, Biological Sciences, Vol. 207, No. 1167. (Feb. 29, 1980), pp. 187-217
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VI. E. Abreu, M. Lightstone, S. K. Mitra, and K. Arakawa, A new efficient approach for the removal of white noise from highly corrupted images, IEEE Transactions on Image Processing, vol. 5, no. 6, pp. 10121025, 1996.
VII. Gonzalez, Woods, and Richard E. Woods. ”Eddins, Digital Image Processing Using MATLAB.” Third New Jersey: Prentice Hall (2004).
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IX. Independent component analysis, A new concept Pierre Comon (1994).
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XII. J Portilla, V Strela, M Wainwright, and E P Simon celli, “Image denoising using scale mixtures of Gaussians in the wavelet domain,” IEEE Trans. Image Processing., In Press. 2003.
XIII. L. Rudin, S. Osher, E. Fatemi Nonlinear total variation based noise removal algorithms Physica D, 60 (1992), pp. 259–268.
XIV. Michael, Weeks. ”Digital Signal Processing Using MATLAB .”Pearsonpublications, ISBN81-297-0272-X 2.13 (2011): 15-16.
XV. Motwani M. C., Gadiya M. C., Motwani R. C. and Jr. Harris F. C. (2004), Survey of image denoising techniques, Proceedings of Global Signal Processing Expo andConference (GSPx 04),, Santa Clara, CA, USA.
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XXI. Scott E Umbaugh, Computer Vision and Image Processing, Prentice Hall PTR, New Jersey, 1998.
XXII. S. H. Chung and R. A. Kennedy, “Forward-Backward Nonlinear Filtering Signals from Noise, “Journal of Neuroscience Methods, vol. 40, pp. 71-86, 1991.
XXIII. Utpal Barman, Ridip Dev Choudhury. : ‘Prediction of Soil pH using Smartphone based Digital Image Processing and Prediction Algorithm’. J.Mech.Cont.& Math. Sci., Vol.-14, No.2, March-April (2019) pp 226-249. DOI : 10.26782/jmcms.2019.04.00019.
XXIV. Wayne Niblack, An Introduction to Image Processing, Prentice-Hall, NewJersey, 1986.filter, IEEE Xplore PDCAT pp.826-828.

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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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IV. Akhondzadeh-Noughabi.E, Amin-Naseri, A. Albadvi. And Saeedi. M (2016). Human resource performance evaluation from CRM perspective: a two-step association rule analysis. Int. J. Business Performance Management, 17. 1
V. Agrawal .Rand. Srikant.R (1994) ‘Fast algorithms for mining association rules’, Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pp.487–499

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VIII. Ghodousi, M, Alesheikh, A, Saeidian, B. Pradhan and G. Lee. (2019). Evaluating Citizen Satisfaction and Prioritizing Their Needs Based on Citizens’ Complaint Data Sustainability 2019, 11, 459.
IX. Ching Z. X. (2004,). Mining class outliers: concepts ,algorithms and applications in CRM ,. Expert systems with Applications 681-69
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XIX. Schellong. A. (2005 (CRM in the public sector: towords a conceptual research framework. national conferance on digital government research. Atlanta,Georgia,.
XX. Silva.R. (2007) Boosting goverment reputation through CRM. The international journal of public Sector Management, (7):588-6.
XXI. Sasaki.Takanori A. (2007) An Empirical study on citizen Relationship Management in japan,.
XXII. Srinivas D., K. Rajkumar, N. Hanumantha Rao. : ‘ SERVICE QUALITY DIMENSIONS-A STUDY OF SELECT PUBLIC AND PRIVATE SECTOR BANKS OF WARANGAL DISTRICT’. J. Mech. Cont. & Math. Sci., Vol.-15, No.-8, August (2020) pp 307-314. DOI : 10.26782/jmcms.2020.08.00029.
XXIII. Tan, P.N. Steinbach M.and. Kumar (2006) Introduction to Data Mining, Pearson Education Inc., US
XXIV. Taniar. D (2008) Data Mining and Knowledge Discovery Technologies, IGI Global, New York.

XXV. Vellido, A. Lisboa, P. J. G., & Vaughan. J (1999). neural networks in business: a survey of applications (1992–1998). Expert Systems with Applications, 17, 51–70.

XXVI. Zayyanu Umar, Agozie Eneh, Okereke George E. : ‘JOINED HETEROGENEOUS CLOUDS RESOURCES MANAGEMENT: AN ALGORITHM DESIGN’. J. Mech. Cont.& Math. Sci., Vol.-15, No.-8, August (2020) pp 39-52. DOI: 10.26782/jmcms.2020.08.00005

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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.
II. Asif Raza Khan, Inam Ullah Khan and Siraj Muhammad, Hermite-Hadamard type fractional inequalities for s-convex functions of mixed kind, TMCS, 1 (2021), 25–37.
III. Charles Hermite, Sur deux limites d’une inte ́grale de ́finie, Mathesis, 3 (1883), 82.
IV. Edwin Ford Beckenback, Convex Functions, Bull. Amer. Math. Soc., 54 (1948), 439–460.
V. I ̇mdat Iscan, Hermite-Hadamard and Simpson like inequalities for differentiable harmonically convex functions, J. Math., 2014, (2014), Article 346305.
VI. I ̇mdat Iscan, Hermite-Hadamard type inequality for p-convex functions, Int. J. Anal. App., 11(2), (2016), 137–145.
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.
XII. Muhammad Bilal, Muhammad Imtiaz Asif Raza Khan, Ihsan Ullah Khan and Muhammad Zafran, Generalized Hermite-Hadamard inequalities for s-convex functions in mixed kind, (Submitted), (2021).
XIII. Murat Emin O ̈zdemi ́r, Merve Avci and Havva Kavurmaci, Hermaite-Hadamard type inequalities via (α, m) convexity, Comp. Math. App., 61, (2011), 2614–2620.
XIV. Mehmood Faraz, Asif R. Khan, & M. Azeem Ullah Siddique. : ‘SOME RESULTS RELATED TO CONVEXIFIABLE FUNCTIONS’. J. Mech. Cont.& Math. Sci., Vol.-15, No.-12, December (2020) pp 36-45. DOI : 10.26782/jmcms.2020.12.00004
XV. Silvestru Sever Dragomir, Josip Pec ̌aric ́ and Lars-Erik Persson, Some inequalities of Hadamard type, Soochow J. Math., 21(3) (1995), 335–341.

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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,

Refference:

I. Atanassov, K. T. (1999). Intuitionistic fuzzy sets. In Intuitionistic fuzzy sets, 1-137.
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III. Burillo, P., & Bustince, H. (1996). Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets. Fuzzy sets and systems, 78(3), 305-316.
IV. Bustince, H., & Burillo, P. (1996). Vague sets are intuitionistic fuzzy sets. Fuzzy sets and systems, 79(3), 403-405.
V. De Luca, A., & Termini, S. (1972). A definition of a non probabilistic entropy in the setting of fuzzy sets theory. Information and control, 20(4), 301-312.
VI. De, S. K., Biswas, R., & Roy, A. R. (2000). Some operations on intuitionistic fuzzy sets. Fuzzy sets and Systems, 114(3), 477-484.
VII. Fan, J. L., & Ma, Y. L. (2002). Some new fuzzy entropy formulas. Fuzzy sets and Systems, 128(2), 277-284.
VIII. Gau, W. L., & Buehrer, D. J. (1993). Vague sets. IEEE transactions on systems, man, and cybernetics, 23(2), 610-614.
IX. Huwang, K. & Yang, M. S. (2008). On entropy of fuzzy set. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16(4), 519-527.
X. Kahneman, D. & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263-292.
XI. Korner, S. (1967). Laws of thought. Encyclopedia of philosophy, 4, 414-417.
XII. Lejewski, C. (1967). “Jan Lukasiewicz,” Encyclopedia of Philosophy, 5, 104-107.
XIII. Li, L. (2016). A new entropy-based intuitionistic fuzzy multi-attribute decision making method. American Journal of Applied Mathematics, 4(6), 277-282.
XIV. Liu, M., & Ren, H. (2014). A new intuitionistic fuzzy entropy and application in multi-attribute decision making. Information, 5(4), 587-601.
XV. Mishra, R. (2016). Intuitionistic fuzzy information measures with application in rating of township development, Iranian Journal of Fuzzy Systems, 13, 49-79
XVI. Pal, N. R., & Pal, S. K. (1989). Object-background segmentation using new definitions of entropy. IEE Proceedings E (Computers and Digital Techniques), 136(4), 284-295.
XVII. 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.
XVIII. Rani, P., Jain, D., & Hooda, D. S. (2019). Extension of intuitionistic fuzzy TODIM technique for multi-criteria decision making method based on shapley weighted divergence measure. Granular Computing, 4(3), 407-420.
XIX. Siddique, M. (2009). Fuzzy decision making using max-min and MMR methods.
XX. Szmidt, E., & Kacprzyk, J. (2001). Entropy for intuitionistic fuzzy sets. Fuzzy sets and systems, 118(3), 467-477.
XXI. Tsallis, C. (2019). Beyond Boltzmann–Gibbs–Shannon in physics and elsewhere. Entropy, 21(7), 696.
XXII. Verma, R., & Sharma, B. D. (2011). On generalized exponential fuzzy entropy. World Academy of Science, Engineering and Technology, 60, 1402-1405.
XXIII. Wang, J. Q., & Wang, P. (2012). Intuitionistic linguistic fuzzy multi-criteria decision-making method based on intuitionistic fuzzy entropy. Control and decision, 27(11), 1694-1698.
XXIV. Wei, C. P., Gao, Z. H., & Guo, T. T. (2012). An intuitionistic fuzzy entropy measure based on trigonometric function. Control and Decision, 27(4), 571-574.
XXV. Yager, R. R. (1979). On the measure of fuzziness and negation part I: membership in the unit interval.
XXVI. Zadeh, L.A. (1965). “Fuzzy sets,” Info. & Ctl. 8, 338-353.
XXVII. Zadeh, L.A. (1968). Probability measures of fuzzy events. J. Math. Anal. Appl, 23, 421–427.
XXVIII. 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.
XXIX. Zeng, W., & Li, H. (2006). Relationship between similarity measure and entropy of interval valued fuzzy sets. Fuzzy sets and Systems, 157(11), 1477-1484.
XXX. Zhang, Q. S., & Jiang, S. Y. (2008). A note on information entropy measures for vague sets and its applications. Information Sciences, 178(21), 4184-4191.

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A MULTI-OBJECTIVE OPTIMIZATION OF AN ULTRA-WIDEBAND ANTENNA USING AN EVOLUTIONARY ALGORITHM

Authors:

Atif Sardar Khan,Farid Ullah Khan,Muhammad Masood Ahmad,Sadaf Sardar,

DOI NO:

https://doi.org/10.26782/jmcms.2021.07.00010

Abstract:

In this research, a unique textile antenna is reported for ultra-wideband applications. The material used for the ground and patch of an antenna is conductive woven zelt and the substrate of the antenna is made of cotton (Tan δ = 0.02, εr = 1.54). The suggested antenna is made of a circular patch of a miniature size i.e. 20 mm × 16.922 mm × 2 mm. The zelt is 0.03 mm thick, bearing electrical conductivity up to 0.01 Ω/m. The antenna bandwidth and gain are optimized by using a multi-objective evolutionary algorithm based on decomposition with differential evolution (MOEA/D-DE). The gain and bandwidth are improved to 4.9 dBi and 2.8 GHz to 15 GHz, respectively. The suggested antenna can be used for Wifi, GPS, and ultra-wideband operations.

Keywords:

Antenna,genetic algorithms,optimization,simulations,ultra-wideband,

Refference:

I. A. Wu, Z. Zhang, and B. Guan, “Wideband printed antenna design using a shape blending algorithm,” International Journal of Antennas and Propagation, vol. 2017, 2017.
II. B. Tian, M. Deng, and Z. Li, “Time domain optimization of UWB antenna by means of genetic algorithm,” in 2008 8th International Symposium on Antennas, Propagation and EM Theory, 2008, pp. 883-886.
III. C.-L. Hwang and A. S. M. Masud, Multiple objective decision making—methods and applications: a state-of-the-art survey vol. 164: Springer Science & Business Media, 2012.
IV. C. Yu, T. Xu, and C. Liu, “Design of a novel UWB omnidirectional antenna using particle swarm optimization,” International Journal of Antennas and Propagation, vol. 2015, 2015.
V. D. A. Van Veldhuizen and G. B. Lamont, “Multiobjective evolutionary algorithms: Analyzing the state-of-the-art,” Evolutionary computation, vol. 8, pp. 125-147, 2000.
VI. H. Li and Q. Zhang, “Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II,” IEEE transactions on evolutionary computation, vol. 13, pp. 284-302, 2008.
VII. K. Deb and R. B. Agrawal, “Simulated binary crossover for continuous search space,” Complex systems, vol. 9, pp. 115-148, 1995.
VIII. K. Mahmoud, “UWB antenna design using gravitational search algorithm,” JES. Journal of Engineering Sciences, vol. 41, pp. 1890-1903, 2013.
IX. K. Price, R. M. Storn, and J. A. Lampinen, Differential evolution: a practical approach to global optimization: Springer Science & Business Media, 2006.
X. M. Karimiyan-Mohammadabadi, M. Dorostkar, F. Shokuohi, M. Shanbeh, and A. Torkan, “Ultra-wideband textile antenna with circular polarization for GPS applications and wireless body area networks,” Journal of industrial textiles, vol. 46, pp. 1684-1697, 2017.
XI. M. C. Derbal, A. Zeghdoud, and M. Nedil, “A Dual Band Notched UWB Antenna with Optimized DGS Using Genetic Algorithm,” Progress In Electromagnetics Research, vol. 88, pp. 89-95, 2020.
XII. M. T. Asghar, M. F. Shafique, I. Usman, N. Gogosh, and M. A. Khan, “Design and Optimization of an UWB Antenna with 5.8 GHz Band Suppression Using Genetic Algorithm,” Journal of Basic and Applied, vol. 3, pp. 701-707, 2013.
XIII. NU Khan, FU Khan, “RF Energy Harvesting for Portable Biomedical Devices” 22nd International Multitopic Conference (INMIC), 2019.
XIV Q. Zhang, A. Zhou, S. Zhao, P. N. Suganthan, W. Liu, and S. Tiwari, “Multiobjective optimization test instances for the CEC 2009 special session and competition,” 2008.
XV. Q. Zhang and H. Li, “MOEA/D: A multiobjective evolutionary algorithm based on decomposition,” IEEE Transactions on evolutionary computation, vol. 11, pp. 712-731, 2007.
XVI. Q. Zhang, W. Liu, and H. Li, “The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances,” in 2009 IEEE congress on evolutionary computation, 2009, pp. 203-208.
XVII. R. Storn and K. Price, “Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces,” Journal of global optimization, vol. 11, pp. 341-359, 1997.
XVIII . Y.-L. Li, W. Shao, L. You, and B.-Z. Wang, “An improved PSO algorithm and its application to UWB antenna design,” IEEE Antennas and wireless propagation letters, vol. 12, pp. 1236-1239, 2013.
XIX. Zanjani Payam Shojaeian, Saeed Ebrahimi Nejad Motlagh Tehrani. : ‘DETECTION OF ABNORMAL BEHAVIOR OF THE SYSTEM AND INCREASE THE SECURITY OF CLOUD COMPUTING BASED ON EVOLUTIONARY ALGORITHM’. J. Mech. Cont.& Math. Sci., Vol.-14, No.-6 November-December (2019) pp 205-225. DOI. : 10.26782/jmcms.2019.12.00016

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