Institution
Chandigarh University
Education•Mohali, India•
About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.
Papers
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TL;DR: Advantages of coherent-detection quadrature phase shift keying with DSP are investigated for the mitigation of non-linear effects and the technique of carrier phase estimation has been used to prolong the transmission range to several thousand kilometers.
Abstract: High bandwidth, low cost and small size has made Inter satellite optical wireless communication a promising and advance technology with an alternative to current microwave satellite systems. In this paper, advantages of coherent-detection quadrature phase shift keying (CO-QPSK) with DSP are investigated for the mitigation of non-linear effects. The technique of carrier phase estimation has been used to prolong the transmission range to several thousand kilometers. Further, 400 Gbps WDM-QPSK system has been analyzed for different distances with 30 dB transmitting power and 11 dB LO power. At last, system has been investigated at narrow channel spacing of 50 GHz and a brief comparison has been made with system having channel spacing of 100 GHz.
17 citations
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16 May 2018TL;DR: In the proposed method, the image is taken as input which is preprocessed, GLCM algorithm is applied for the textural feature analysis, k-means clustering is applications for the region-based segmentation, and KNN classifier is appliedfor the disease prediction.
Abstract: The plant disease detection is the technique which can detect disease from the plant leaves. The plant disease detection has various steps which are textural feature analysis, segmentation, and classification. This research paper is based on the plant disease detection using the KNN classifier with GLCM algorithm. In the proposed method, the image is taken as input which is preprocessed, GLCM algorithm is applied for the textural feature analysis, k-means clustering is applied for the region-based segmentation, and KNN classifier is applied for the disease prediction. The proposed technique is implemented in MATLAB and simulation results show up to 97% accuracy.
17 citations
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TL;DR: In this paper, the authors focused on the degradation of various hazardous pollutants using MXene-based catalysts and provided an analysis of the main components of the MXenebased sonocatalysts.
17 citations
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TL;DR: In this article, the authors highlight the supercritical fluid extraction (SCFE) as principal green extraction technology and their ideal parameters for extracting high-value algal metabolites (HVAMs).
17 citations
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TL;DR: In this article , the authors focused on the degradation of various hazardous pollutants using MXene-based catalysts and provided an analysis of the main components of the MXenebased sonocatalysts.
17 citations
Authors
Showing all 1533 results
Name | H-index | Papers | Citations |
---|---|---|---|
Neeraj Kumar | 76 | 587 | 18575 |
Rupinder Singh | 42 | 458 | 7452 |
Vijay Kumar | 33 | 147 | 3811 |
Radha V. Jayaram | 32 | 114 | 3100 |
Suneel Kumar | 32 | 180 | 5358 |
Amanpreet Kaur | 32 | 367 | 5713 |
Vikas Sharma | 31 | 145 | 3720 |
Munish Kumar Gupta | 31 | 192 | 3462 |
Vijay Kumar | 30 | 113 | 2870 |
Shashi Kant | 29 | 160 | 2990 |
Sunpreet Singh | 29 | 153 | 2894 |
Gagangeet Singh Aujla | 28 | 109 | 2437 |
Deepak Kumar | 28 | 273 | 2957 |
Dilbag Singh | 27 | 77 | 1723 |
Tejinder Singh | 27 | 162 | 2931 |