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Institution

PSNA College of Engineering and Technology

About: PSNA College of Engineering and Technology is a based out in . It is known for research contribution in the topics: Cloud computing & Wireless sensor network. The organization has 607 authors who have published 720 publications receiving 5871 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the suitability of waste cooking oil methyl ester as a biofuel has been established in a single cylinder four stroke variable compression ratio multi fuel engine when fueled with waste cooking oils methyl esters and its 20, 40, 60% and 80% blends with diesel (on a volume basis) are investigated and compared with standard diesel.

390 citations

Journal ArticleDOI
01 Aug 2011-Energy
TL;DR: In this paper, the performance, emission and combustion characteristics of a single cylinder; four stroke variable compression ratio multi fuel engine fuelled with waste cooking oil methyl ester and its blends with standard diesel were investigated.

208 citations

Journal ArticleDOI
TL;DR: The experimental results shows that the proposed EE-LEACH yields better performance than the existing energy-balanced routing protocol (EBRP) and LEACH Protocol in terms of better packet delivery ratio, lesser end-to-end delay and energy consumption.
Abstract: A wireless sensor network (WSN) consists of a huge number of sensor nodes that are inadequate in energy, storage and processing power. One of the major tasks of the sensor nodes is the collection of data and forwarding the gathered data to the base station (BS). Hence, the network lifetime becomes the major criteria for effective design of the data gathering schemes in WSN. In this paper, an energy-efficient LEACH (EE-LEACH) Protocol for data gathering is introduced. It offers an energy-efficient routing in WSN based on the effective data ensemble and optimal clustering. In this system, a cluster head is elected for each clusters to minimize the energy dissipation of the sensor nodes and to optimize the resource utilization. The energy-efficient routing can be obtained by nodes which have the maximum residual energy. Hence, the highest residual energy nodes are selected to forward the data to BS. It helps to provide better packet delivery ratio with lesser energy utilization. The experimental results shows that the proposed EE-LEACH yields better performance than the existing energy-balanced routing protocol (EBRP) and LEACH Protocol in terms of better packet delivery ratio, lesser end-to-end delay and energy consumption. It is obviously proves that the proposed EE-LEACH can improve the network lifetime.

187 citations

Journal ArticleDOI
TL;DR: This review article will highlight the antiproliferative activity and molecular mechanism of the eugenol induced apoptosis against the cancer cells and animal models.
Abstract: Phenolic phytochemicals are a broad class of nutraceuticals found in plants which have been extensively researched by scientists for their health-promoting potential. One such a compound which has been comprehensively used is eugenol (4-allyl-2-methoxyphenol), which is the active component of Syzigium aromaticum (cloves). Aromatic plants like nutmeg, basil, cinnamon and bay leaves also contain eugenol. Eugenol has a wide range of applications like perfumeries, flavorings, essential oils and in medicine as a local antiseptic and anesthetic. Increasing volumes of literature showed eugenol possesses antioxidant, antimutagenic, antigenotoxic, anti-inflammatory and anticancer properties. Molecular mechanism of eugenol-induced apoptosis in melanoma, skin tumors, osteosarcoma, leukemia, gastric and mast cells has been well documented. This review article will highlight the antiproliferative activity and molecular mechanism of the eugenol induced apoptosis against the cancer cells and animal models.

187 citations

Journal ArticleDOI
TL;DR: The results demonstrated molecular mechanism of eugenol‐induced apoptosis in human colon cancer cells and will further enhanceeugenol as a potential chemopreventive agent against colon cancer.

156 citations


Authors

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021180
202077
201955
201831
201746