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Institution

KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Adsorption & Diesel fuel. The organization has 427 authors who have published 381 publications receiving 2193 citations.


Papers
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Journal ArticleDOI
TL;DR: A Q-learning-algorithm-based routing concept to route the sensed information if required from the individual node to the remote healthcare station and results show that the Q- learning-based approach requires less time toroute the packet from the source nodes to the destination remote station.
Abstract: The information regarding any abnormal behaviour in the physiological parameters of a patient should reach the remote healthcare personal immediately in real time, so as to take corrective action promptly and save the life. Biomedical wireless sensor network (BWSN) plays a vital role in this connection because it can be attached to the patient without causing any inconvenience to him/her and can communicate to any remote healthcare office without any delay. BWSN consists of individual nodes to collect the patient's information and communicate it to the remote health centre if the value of sensed signal is beyond normal range. The nodes deployed within the patients form a BWSN, and the network has to send the information from the source to the remote sink in an efficient way. The network should choose an optimized path for this communication, so that the node’s lifetime is increased. This paper presents a Q-learning-algorithm-based routing concept to route the sensed information if required from th...

30 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the entropies and topological characterization of different tessellations of kekulenes through topological computations of superaromatic structures with pores.
Abstract: Tessellations of kekulenes and cycloarenes are of considerable interest as nanomolecular belts in trapping and transportation of heavy metal ions and chloride ions, as they possess optimal electronic features and pore sizes. A class of cycloarenes called kekulenes have been the focus of several experimental and theoretical studies from the stand point of aromaticity, superaromaticity, chirality, and novel electrical and magnetic properties. In the present study, we investigate the entropies and topological characterization of different tessellations of kekulenes through topological computations of superaromatic structures with pores. We introduce the self-powered vertex degree-based topological indices and then derive the graph entropy measures for three different tessellations (zigzag, armchair, and rectangular) via various molecular descriptors that we derive here. Several applications to computing the molecular properties are pointed out. We demonstrate the existence of isentropic and yet nonisomorphic tessellations of kekulenes for the first time. The two tessellations are predicted to be quite close in energy with comparable energy gaps. Graph theory-based PPP methods with parameters derived from higher levels of theory are proposed to be promising tools for the predictions of relative stabilities of kekulene tessellations. We show that the developed techniques can be applied in the general context of artificial intelligence for the machine generation of nuclear magnetic resonance and electron spin resonance spectroscopic patterns as well as in robust computations of thermochemistry of a large combinatorial libraries of tessellations of kekulenes through the generation of bond-equivalence classes.

28 citations

Journal ArticleDOI
TL;DR: In this article, stable copper nanoparticles were obtained by reducing Cu2O without any special protections like inert gas atmosphere etc. Different reduction conditions were attempted to control the stability and size of the Cu nanoparticles.

28 citations

Journal ArticleDOI
TL;DR: In this article, a single-cylinder, four-stroke, air-cooled direct injection diesel engine having a rated output of 4.4 kW was used for the experiments.
Abstract: Producing and using renewable fuels for transportation is one approach to a sustainable energy future for the world. A renewable fuel contributes to a lesser global climate change. Vegetable oil derivatives, namely, biodiesel, is being used in smaller volumes in some of the present day diesel engines. High smoke emission and lower thermal efficiency are the main problems associated with the use of neat vegetable oils in diesel engines. In the present paper we report on the utilization of rubber seed oil (RSO) as a primary fuel with eiethyl ether (DEE) as a combustion enhancer in a diesel engine. DEE was recently reported as a renewable fuel and a low-emission high-quality combustion improver. A single-cylinder, four-stroke, air-cooled direct injection diesel engine having a rated output of 4.4 kW was used for the experiments. DEE was injected into the intake port during the suction stroke, while RSO was injected directly inside the cylinder at the end of the compression stroke [23° BTDC (before top dead c...

27 citations

Journal ArticleDOI
TL;DR: In this paper, capped/uncapped Cadmium Oxide Nanoparticles (CdO NPs) synthesized by chemical precipitation technique were investigated by XRD, TGA, TEM and PL spectra.

26 citations


Authors

Showing all 427 results

NameH-indexPapersCitations
G. Nagarajan462757004
Raghavan Murugan331263838
B. Nagalingam22292255
G. V. Uma201081357
V. Edwin Geo18631023
R. Lakshmipathy1230442
Sellappan Palaniappan1129803
M. Kannan1028309
B. Vidhya1046399
S. Ramesh948503
R. Gladwin Pradeep921190
T. Ravi823153
K. Vijayaraja815133
C. Clement Raj78212
Maya Joby712309
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
2021102
202039
201957
201839
201741