Institution
Samrat Ashok Technological Institute
About: Samrat Ashok Technological Institute is a based out in . It is known for research contribution in the topics: Window function & Terahertz radiation. The organization has 192 authors who have published 213 publications receiving 1496 citations. The organization is also known as: SATI.
Papers published on a yearly basis
Papers
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TL;DR: In this article, an amplitude-modulated laser interacts with an array of carbon nanotubes embedded on a metallic surface, and the laser exerts a ponderomotive force on the free electrons of the carbon nano-ubes at twice the modulation frequency that falls in the terahertz (THz) range.
Abstract: An amplitude-modulated laser, in the presence of a static magnetic field, interacts with an array of carbon nanotubes embedded on a metallic surface. The laser exerts a ponderomotive force on the free electrons of carbon nanotubes at twice the modulation frequency that falls in the terahertz (THz) range. Each nanotube acts as an oscillatory electric dipole, producing THz radiations. The presence of magnetic field shifts the resonance condition and provides tunability. The THz radiation power increases with magnetic field strength.
186 citations
01 Oct 2013
164 citations
TL;DR: Several neural network applications in smart antenna array synthesis are reviewed, which can avoid complexity by establishing a relation between the desired radiation patterns and feeding details in the real antenna array and can help convert the real array into a smart array.
Abstract: Techniques employed in the synthesis of antenna arrays vary from complex analytical methods to iterative numerical methods based on optimisation algorithms. The drawback of these techniques is that they usually consider the array factor but not the interaction between array elements and real-time problems. This omission induces an error in the resultant radiation pattern; therefore, the physical relations between the array feeding details and the corresponding radiation patterns are taken into account to improve the accuracy. The behaviour of an antenna array is nonlinear in nature, resulting in an extremely high complexity using this approach, and it is usually disregarded. A neural-network-based solution can avoid complexity by establishing a relation between the desired radiation patterns and feeding details such as voltage and spacing in the real antenna array and can help convert the real array into a smart array. Several neural network applications in smart antenna array synthesis are reviewed in this paper.
105 citations
TL;DR: Different manufacturing processes are optimized by Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm as discussed by the authors, and the main focus of this review paper is on the optimization of the various manufacturing processes that have been optimized by TOPSIS method.
73 citations
TL;DR: A diagnostic system that utilizes an optimized XGBoost (Extreme Gradient Boosting) classifier to predict heart disease and results indicate that the proposed method could be used reliably to Predict heart disease in the clinic.
71 citations
Authors
Showing all 192 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Ravi Jain | 48 | 160 | 7467 |
| Avinash Kumar | 18 | 35 | 866 |
| Sanjeev Jain | 18 | 75 | 1348 |
| Sanjay Silakari | 17 | 89 | 971 |
| Sanjay Jain | 14 | 35 | 2493 |
| Alok Jain | 12 | 37 | 380 |
| Robin Singh Bhadoria | 11 | 86 | 443 |
| Sunil Joshi | 11 | 59 | 483 |
| Aashish Kumar Bohre | 11 | 27 | 546 |
| Pradyumn Chaturvedi | 10 | 46 | 356 |
| Kanak Saxena | 9 | 43 | 331 |
| Yogendra Kumar Jain | 8 | 50 | 386 |
| Sreenu Sreekumar | 7 | 21 | 147 |
| Sanjeev Narayan Sharma | 7 | 16 | 113 |
| Sandeep K. Raghuwanshi | 7 | 15 | 90 |