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Institution

Chandigarh University

EducationMohali, India
About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a series of Eu3+ doped CaMoO4 and Mn+2/Eu3+) co-doped samples are synthesized successfully by facile auto combustion method.

25 citations

Journal ArticleDOI
01 Mar 2020-Micron
TL;DR: The surface properties activated fish scales and chromium loaded fish scale were investigated by scanning electron microscopy, X-ray spectroscopy, Fourier-transform infrared spectroscopic, and thermal analysis and agree with outcomes.

25 citations

Journal ArticleDOI
TL;DR: In this paper, the behavior of completely biodegradable starch-based composites containing okra cellulosic fibers in the range from 5 to 25 wt was studied by using urea-formaldehyde as a cross-linking agent.
Abstract: The aim of present work is to study the behavior of completely biodegradable starch-based composites containing okra cellulosic fibers in the range from 5 to 25 wt%. The cornstarch matrix and composites were prepared by using urea–formaldehyde as a cross-linking agent. The cross-linked cornstarch matrix and its composites were characterized by Fourier transform infrared spectroscopy, scanning electron microscopy, X-ray diffraction, and thermogravimetric analysis. Furthermore, thermal and different mechanical properties, i.e., tensile, compressive, and flexural strength of composites, were also studied. The thermal stability of fiber-reinforced composite was increased as compared to starch matrix. The mechanical properties of composite such as tensile, compressive, and flexural have been found to increase with the increase in fiber content up to 15% loading. The composite specimens tested for tensile, compressive, and flexural strength at 15% fiber loading exhibited values of 17.78 ± 0.89, 33.55 ± 1.67 and 60.1 ± 3.01 MPa, respectively. Furthermore, the matrix and composites were subjected to biodegradation studies through the soil burial method.

24 citations

Journal ArticleDOI
TL;DR: A significant association of case fatality rate (CFR) to COVID-19 patients with cardiovascular diseases which supposed to be the most common dangerous risk factor and health challenge during the current pandemic situation is reflected.
Abstract: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is identified from Wuhan, China, and has spread almost worldwide. Recently, the newly identified SARS-CoV-2 has been confirmed to kill millions of people worldwide and is dangerous to society health, survival, and livelihood. The people with cardiovascular problems are noticed as most common patients of coronavirus disease 2019 (COVID-19). There is a greater risk of mortality and morbidity in these patients than other patients of COVID-19. In the heart, expressed angiotensin-converting enzyme 2 (ACE2) and response effect of hyperactivity with angiotensin II associated to the renin-angiotensin mechanism are key factors of hypertension, atherosclerosis, and congestive heart failure. Mortality rates have been observed about 10.5% cases in patients with cardiovascular disease; however, a mortality rate of 52% was recorded in patients with heart failure, while 12% recovered ultimately. The occupancy of intense injury controlled by troponin elevation was a noteworthy factor in relation to mortality. Among 187 patients infected with SARS-CoV-2, about 35% were diagnosed with cardiovascular disease (CVD) history and 28% with raised troponin. Troponin elevation was identified more frequently (55%) in patients with cardiovascular diseases. Mortality rate in patients without cardiovascular diseases and normal troponin was 7.6%, normal troponin and cardiovascular disease with 13.3%, augmented troponin and without cardiovascular disease 37.5%, however 69.4% among cardiovascular disease and advanced troponin. The study reflected a significant association of case fatality rate (CFR) to COVID-19 patients with cardiovascular diseases which supposed to be the most common dangerous risk factor and health challenge during the current pandemic situation.

24 citations

Proceedings ArticleDOI
01 Aug 2019
TL;DR: A blockchain as a service framework has been presented wherein BlockSDSec model is designed to provide security as a separate service for the SDN architecture to prevent the threats of DDoS at the switch level by embedding an security using blockchain onto the interaction channels of data and control planes.
Abstract: Software defined networking (SDN) is one of the most popular network technologies which provides an adaptive, agile and flexible network management and visibility. Although SDN architecture provides manifold benefits but on the same time its dependence on a logically centralized controller lead to the single point of failure. An attacker can easily capture the any forwarding device and restrict the availability of the controller using different prevalent attacks. Distributed denial of service (DDoS) is one of the most popular attack of this category which is quiet prevalent in SDN. Here, the aim of the attackers is to inject false script in the open flow tables through malicious switches which multiply exponentially. Therefore, in this paper, a blockchain as a service framework has been presented wherein BlockSDSec model is designed to provide security as a separate service for the SDN architecture. This work provides a mechanism to prevent the threats of DDoS at the switch level by embedding an security using blockchain onto the interaction channels of data and control planes. The load balancing at the controller level is achieved using a virtual controller. The proposed scheme is simulated using MiniNet Emulator to analyze the delay originating from usage of blockchain.

24 citations


Authors

Showing all 1533 results

NameH-indexPapersCitations
Neeraj Kumar7658718575
Rupinder Singh424587452
Vijay Kumar331473811
Radha V. Jayaram321143100
Suneel Kumar321805358
Amanpreet Kaur323675713
Vikas Sharma311453720
Munish Kumar Gupta311923462
Vijay Kumar301132870
Shashi Kant291602990
Sunpreet Singh291532894
Gagangeet Singh Aujla281092437
Deepak Kumar282732957
Dilbag Singh27771723
Tejinder Singh271622931
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023116
2022182
2021893
2020374
2019233
2018174