Institution
Thapar University
Education•Patiāla, Punjab, India•
About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.
Papers published on a yearly basis
Papers
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TL;DR: A decision support algorithm based on the novel concept of the spherical normal fuzzy (SpNoF) set to maximize the utility of the antivirus mask is proposed and a multi-criteria decision-making method is established,based on the proposed operators, with SpNoF information.
Abstract: With the rapid outbreak of COVID-19, most people are facing antivirus mask shortages. Therefore, it is necessary to reasonably select antivirus masks and optimize the use of them for everyone. However, the uncertainty of the effects of COVID-19 and limits of human cognition add to the difficulty for decision makers to perfectly realize the purpose. To maximize the utility of the antivirus mask, we proposed a decision support algorithm based on the novel concept of the spherical normal fuzzy (SpNoF) set. In it, firstly, we analyzed the new score and accuracy function, improved operational rules, and their properties. Then, in line with these operations, we developed the SpNoF Bonferroni mean operator and the weighted Bonferroni mean operator, some properties of which are also examined. Furthermore, we established a multi-criteria decision-making method, based on the proposed operators, with SpNoF information. Finally, a numerical example on antivirus mask selection over the COVID-19 pandemic was given to verify the practicability of the proposed method, which the sensitive and comparative analysis was based on and was conducted to demonstrate the availability and superiority of our method.
60 citations
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TL;DR: In this article, the effects of Tb-doping and size of synthesized nanowires on structural, electrical, magnetic, dielectric, and magnetodielectric properties have been investigated.
Abstract: Nanoscale, multifunctional, multiferroic materials possess strong magnetoelectric coupling (ME), open exciting multitudinous ways for designing future nanoelectronic and spintronic device applications. Bulk nanowires (100 nm), pure, and Tb-doped BiFeO3 multiferroic nanowires (20 nm) have been synthesized by colloidal dispersion template-assisted technique. The effects of Tb-doping and size of synthesized nanowires on structural, electrical, magnetic, dielectric, and magnetodielectric properties have been investigated. X-ray diffraction study reveals that doping of Tb in BiFeO3 nanowires leads to structural transformation from rhombohedral to orthorhombic. X-ray photoemission analysis confirms the +3 oxidation state of Fe and high purity of samples. Bulk nanowires exhibit antiferromagnetic characteristics, whereas the Tb-doped BiFeO3 nanowires show ferromagnetic character. Moreover, with increase in Tb concentration, the saturation magnetization increases. Temperature-dependent magnetization study suggests their size-dependent ferro and ferri-magnetic behavior. Polarization versus electric field (P–E) study reveals that pure BiFeO3 nanowires possess elliptical loop; however, doping of Tb results in rectangular loop— portentous good ferroelectric properties. All synthesized samples exhibit frequency-dependent dielectric constant which decreases with increase in frequency and remains fairly constant at higher frequencies. Leakage current density decreases with increase in Tb concentration, and has been found to be three orders of magnitude less than those of bulk BiFeO3 nanowires. The ME coupling in synthesized nanowires was estimated by measuring magnetodielectric. A very high value of ME, 7.2 %, has been found for 15 % Tb-doped BiFeO3 nanowires. In this communication, we, for the first time, report new cue on size-dependent Tb-doped BiFeO3 nanowires, which may be further used to explore its technological device applications.
60 citations
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TL;DR: The abrasion resistance and mechanical properties of concrete containing high volume fly ash (HVFA) were investigated in this paper, where sand (fine aggregate) was replaced with 35, 45, and 55% of Class F fly ash by mass.
Abstract: The abrasion resistance and mechanical properties of concrete containing high-volume fly ash (HVFA) were investigated. Sand (fine aggregate) was replaced with 35, 45, and 55% of Class F fly ash by mass. The water to cement ratio and the workability of mixtures were maintained constant at 0.46 and 55 ± 5 mm respectively. Properties examined were compressive strength, splitting tensile strength, flexural strength, modulus of elasticity and abrasion resistance expressed as depth of wear. Test results indicated that replacement of sand with fly ash enhanced the 28-day compressive strength by 25–41%, splitting tensile strength by 12–21%, flexural strength by 14–17%, and modulus of elasticity by 18–23% depending upon the fly ash content, and showed continuous improvement in mechanical properties up to the ages of 365 days. Replacing fly ash with sand significantly improved the abrasion resistance of concrete at all ages. Strong correlation exists between the abrasion resistance and each of the mechanical properties investigated.
60 citations
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TL;DR: This survey presents a new classification for DNS-based botnet detection techniques and provides a deep analysis of each technique within the category.
60 citations
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TL;DR: The aim of the paper is to introduce a novel concept of connection number‐based q ‐rung orthopair fuzzy set (CN‐q ‐ROFS) and thus to develop a method for solving the multiattribute group decision‐making (MAGDM) problem.
Abstract: The aim of the paper is to introduce a novel concept of connection number‐based q ‐rung orthopair fuzzy set (CN‐ q ‐ROFS) and thus to develop a method for solving the multiattribute group decision‐making (MAGDM) problem. The q ‐rung orthopair fuzzy set ( q ‐ROFS) has outstanding characteristics to deal with the uncertain information, while the connection number resolves with the uncertainties and certainty as a three‐degree system, namely identity, contrary, and discrepancy. By combining these two ideas, this paper is divided into three parts. First, the CN‐ q ‐ROFS concept is introduced and its features are read. Moreover, some operation laws are defined to combine the different elements of the proposed set. Second, a novel measure of the degree of possibility is presented to measure the degree of possibility within the given objects. Finally, a group decision‐making method for solving problems with uncertain information is propagated and illustrated with a series of examples. Finally, a group decision‐making method is promoted to solve the problems of uncertain information and illustrates a number of examples. The advantages, comparative as well as superiority analysis of the proposed framework are provided to confirm the approach.
60 citations
Authors
Showing all 3035 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gaurav Sharma | 82 | 1244 | 31482 |
Vinod Kumar | 77 | 815 | 26882 |
Neeraj Kumar | 76 | 587 | 18575 |
Ashish Sharma | 75 | 909 | 20460 |
Dinesh Kumar | 69 | 1333 | 24342 |
Pawan Kumar | 64 | 547 | 15708 |
Harish Garg | 61 | 311 | 11491 |
Rafat Siddique | 58 | 183 | 11133 |
Surya Prakash Singh | 55 | 736 | 12989 |
Abhijit Mukherjee | 55 | 378 | 10196 |
Ajay Kumar | 53 | 809 | 12181 |
Soumen Basu | 45 | 247 | 7888 |
Sudeep Tanwar | 43 | 263 | 5402 |
Yosi Shacham-Diamand | 42 | 287 | 6463 |
Rupinder Singh | 42 | 458 | 7452 |