Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Effect of simultaneous substitution of La and Mn on dielectric behavior of barium titanate ceramic

Abstract: A few compositions in the valence compensated system Ba1−xLaxTi1−xMnxO3 were synthesized by solid-state ceramic method to study the effect of co-doping lanthanum and manganese in equimolar amounts on dielectric behavior of BaTiO3. Compositions with x ≤ 0.10 have shown solid solution formation. Compositions with x ≤ 0.05 are found to have tetragonal structure at room temperature while composition with x = 0.10 is cubic. Plots of relative dielectric constant, er versus temperature for composition with x = 0.01 show dielectric anomalies around 376 ± 2, 264 ± 2 and 179 ± 2 K which correspond to cubic to tetragonal (T C–T), tetragonal to orthorhombic (T T–O) and orthorhombic to rhombohedral (T O–R) transition, respectively, similar to BaTiO3. Curie temperature has been found to decrease with increasing concentration of lanthanum and manganese simultaneously in barium titanate. The broadening in the dielectric peak at cubic to tetragonal (T C–T) transition temperature increases with increasing x. For x = 0.10, only one anomaly at 100 K is observed in its er versus T plots. The observation of this single anomaly may be due to pinching effect of the substitutions on the three phase transitions.

A Comparative Study of Spam SMS Detection Using Machine Learning Classifiers

Abstract: With technological advancements and increment in content based advertisement, the use of Short Message Service (SMS) on phones has increased to such a significant level that devices are sometimes flooded with a number of spam SMS. These spam messages can lead to loss of private data as well. There are many content-based machine learning techniques which have proven to be effective in filtering spam emails. Modern day researchers have used some stylistic features of text messages to classify them to be ham or spam. SMS spam detection can be greatly influenced by the presence of known words, phrases, abbreviations and idioms. This paper aims to compare different classifying techniques on different datasets collected from previous research works, and evaluate them on the basis of their accuracies, precision, recall and CAP Curve. The comparison has been performed between traditional machine learning techniques and deep learning methods.

Lie group analysis for bioconvection MHD slip flow and heat transfer of nanofluid over an inclined sheet: Multiple solutions

Abstract: This paper considers numerical analysis of bioconvection boundary layer flow and heat transfer of electrically conducting nanofluid containing nanoparticles and gyrotactic microorganism over an inclined permeable sheet. Lie symmetry group transformations are used to convert the governing non-linear partial differential equations for continuity, momentum, energy, nanoparticles and microorganisms conservation into non-linear ordinary differential equations. The influences of important physical parameters such as mass transfer parameter s , Richardson number Ri , Buoyancy ratio Nr , bioconvection Rayleigh number Rb , velocity and thermal slip parameters, Brownian motion parameter Nb , thermophoresis parameter Nt , the bioconvection Schmidt number Sc b and the bioconvection Peclet number Pe , on the skin friction, the rate of heat transfer and microorganisms flux are discussed numerically in this study. The dual solutions are obtained for some critical range of mass transfer parameter s and stretching/shrinking parameter χ .