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Dindigul, India

PSNA College of Engineering & Technology is an Engineering College situated in Kothandaraman Nagar, Dindigul, in the Indian state of Tamil Nadu. Wikipedia.


Jaganathan S.K.,PSNA College of Engineering and Technology
Medical Hypotheses | Year: 2011

Cancer is one of the deadly diseases that burdens the society since long-time. Although design of chemotherapy is well-advanced, still it could not prevent the cancer death by hundred percent. One of the major stumbling blocks for cancer chemotherapy is multidrug resistance (MDR) developed by cancer cells. Role of ABC family of transporter proteins is well recognized in MDR. P-glycoprotein (P-gp), member of ABC transporter family, has been described for drug resistance and a low bioavailability of drugs by pumping structurally unrelated drugs out of the cells at the cost of ATP hydrolysis. Recently various P-gp inhibitors (chemosensitizers) are studied extensively to reverse MDR. In this scenario, we propose honey with multitude of polyphenolic flavonoids as a plausible candidate for inhibiting the P-gp proteins. Common flavonoids of honey like chrysin, genistein, biochanin, quercetin, kaempferol, and naringenin have found to interact with P-gp transporters. Generally chemosensitizers bind with transmembrane domain (TMD) in the P-gp transporter but flavonoids are bi-functional in reversing the MDR. Flavonoids can inhibit the ATPases activity involved in drug efflux and also it may serve as substrates for P-gp transporters, thereby causing competitive inhibition towards other substrates. This dual-mode of flavonoids interaction with P-gp transporter enhances the therapeutic index. Hence we promulgate honey with rich flavonoid content as a potential candidate for reversing MDR. If our hypothesis is true, honey a novel chemosensitizer will reduce the huge amount invested in developing new chemosensitizers to overcome the burden of chemo-resistance. © 2010 Elsevier Ltd. Source


Ramachandran T.,PSNA College of Engineering and Technology | Padmanaban K.P.,Alagappa Chettiar College of Engineering And Technology
International Journal of Advanced Manufacturing Technology | Year: 2013

Though many computationally expensive internal combustion engine vibration models are available, simple and computationally efficient tools are required for preliminary design work. The unbalanced forces of rotating and reciprocating parts are the primary sources for the engine vibrations which in turn reduce the durability and reliability of consumer and commercial automotives. So, a significant vibration isolation is needed for both engine and interface between the engine mounts, and it could be obtained with the help of rotating balancing disks attached at both ends of the crank shaft. The masses of the balancing disks and their lead angles influence the effectiveness of vibration isolation that can be measured by the engine mount displacement caused due to engine vibrations. The optimized masses of balancing disks and their lead angles minimize the engine mount displacements that ensure the effective vibration isolation. In this paper, the genetic algorithm is employed to optimize the masses of the balancing disks and their lead angles with an objective of minimizing the engine mount displacements. © 2012 Springer-Verlag London. Source


Punitha K.,Kalasalingam University | Devaraj D.,Kalasalingam University | Sakthivel S.,PSNA College of Engineering and Technology
Energy | Year: 2013

In solar PV (photovoltaic) system, tracking the module's MPP (maximum power point) is challenging due to varying climatic conditions. Moreover, the tracking algorithm becomes more complicated under the condition of partial shading due to the presence of multiple peaks in the power voltage characteristics. This paper presents a NN (neural network) based modified IC (incremental conductance) algorithm for MPPT (maximum power point tracking) in PV system. The PV system along with the proposed MPPT algorithm was simulated using Matlab/Simulink simscape tool box. The simulated system was evaluated under uniform and non-uniform irradiation conditions and the results are presented. For comparison, P&O (perturb and observe) and Fuzzy based Modified Hill Climbing algorithms were used for MPP tracking, and the results show that the proposed approach is effective in tracking the MPP under partial shading conditions. To validate the simulated system hardware implementation of the proposed algorithm was carried out using FPGA (Field Programmable Gate Array). © 2013 Elsevier Ltd. Source


Chitra C.,PSNA College of Engineering and Technology
Expert Systems with Applications | Year: 2012

The shortest path routing problem is a multiobjective nonlinear optimization problem with a set of constraints. This problem has been addressed by considering delay and cost objectives simultaneously and as a weighted sum of both objectives for comparison. Multiobjective evolutionary algorithms can find multiple pareto-optimal solutions in one single run and this ability makes them attractive for solving problems with multiple and conflicting objectives. This paper uses an elitist multiobjective evolutionary algorithm based on the nondominated sorting genetic algorithm (NSGA), for solving the dynamic shortest path routing problem in computer networks. A priority-based encoding scheme is proposed for population initialization. Elitism ensures that the best solution does not deteriorate in the succeeding generations. Results for a sample test network have been presented to demonstrate the capabilities of the proposed approach to generate well-distributed pareto-optimal solutions of dynamic routing problem in one single run. The results obtained by NSGA are compared with single objective weighting factor method for which genetic algorithm (GA) is applied. © 2011 Elsevier Ltd. All rights reserved. Source


Jaganathan S.K.,PSNA College of Engineering and Technology
The Scientific World Journal | Year: 2012

Previous work from our laboratory showed that the mechanism of crude-honey induced apoptosis in colon cancer cells. Since phenolic constituents of honey were attributed to its apoptosis-inducing ability, we studied caffeic acid, one of the phenolic constituents of honey, induced effect on colon cancer cells. Antiproliferative effect of caffeic acid was estimated using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay. MTT assay signified the antiproliferative nature of caffeic acid against the HCT 15 colon cancer cells. A time-dependent inhibition of colony formation was evident with caffeic acid treatment. Cell-cycle analysis of caffeic acid- (CA-) treated cells indicated increasing accumulation of cells at sub-G1 phase. Photomicrograph images of treated cells showed membrane blebbing and cell shrinkage. Yo-pro-1 staining of caffeic-acid-treated cells confirmed apoptosis in dose- and time-dependent manner. Increasing ROS generation and reduction in the mitochondrial membrane potential were also accompanied in the caffeic acid-induced apoptosis. This work will promote caffeic acid as a likely candidate in the chemoprevention of colon cancer. © 2012 Saravana Kumar Jaganathan. Source

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