Particle Swarm Optimization Algorithm for Leakage Power Reduction in VLSI Circuits

 Leakage power is the dominant source of power dissipation innanometer technology. As per the International Technology Roadmap forSemiconductors (ITRS) static power dominates dynamic power with theadvancement in technology. One of the well-known techniques used forleakage reduction is Input Vector Control (IVC). Due to stacking effect inIVC, it gives less leakage for the Minimum Leakage Vector (MLV) appliedat inputs of test circuit. This paper introduces Particle Swarm Optimization(PSO) algorithm to the field of VLSI to find minimum leakage vector.Another optimization algorithm called Genetic algorithm (GA) is alsoimplemented to search MLV and compared with PSO in terms of number ofiterations. The proposed approach is validated by simulating few testcircuits. Both GA and PSO algorithms are implemented in Verilog HDLand the simulations are carried out using Xilinx 9.2i. From the simulationresults it is found that PSO based approach is best in finding MLVcompared to Genetic based implementation as PSO technique uses lessruntime compared to GA. To the best of the author’s knowledge PSOalgorithm is used in IVC technique to optimize power for the first time andit is quite successful in searching MLV

Extensive Analysis on Generation and Consensus Mechanisms of Clustering Ensemble: A Survey

Data analysis plays a prominent role in interpreting various phenomena. Data mining is the process to hypothesize useful knowledge from the extensive data. Based upon the classical statistical prototypes the data can be exploited beyond the storage and management of the data. Cluster analysis a primary investigation with little or no prior knowledge, consists of research and development across a wide variety of communities. Cluster ensembles are melange of individual solutions obtained from different clusterings to produce final quality clustering which is required in wider applications. The method arises in the perspective of increasing robustness, scalability and accuracy. This paper gives a brief overview of the generation methods and consensus functions included in cluster ensemble. The survey is to analyze the various techniques and cluster ensemble methods

ANTI-INFLAMMATORY AND ANTIBACTERIAL ACTIVITY OF JATROPHA CURCAS LINN.

Jatropha curcas Linn., a Bio-diesel plant known for various medicinal uses in folklore has been evaluated for few pharmacological aspects. The plant is being collected, dried and extracted by maceration method with ethanol and water. They were concentrated using vacuum distillation and the extracts were used for the evaluation of anti-inflammatory, analgesic and antibacterial activity using Formalin induced paw edema method, eddy’s hot plate method and disc diffusion method respectively. The analgesic and anti-inflammatory activity of bark water extract and leaf water extract was found significant at P<0.05 and P<0.001 respectively. The maximum analgesic effect was observed at 60min at 300mg/kg (i.p) and was similar to that of standard aspirin (50mg/kg). The edema inhibition effect was 100% for leaf water extract (300mg/kg) after 24hrs and was found effective when compared with standard Ibuprofen (50mg/kg). The antibacterial activity was also found effective at 10mg/ml

AN EFFORT TO DETERMINE CREDIBILITY AND STATUS OF SENSOR NODES

Iterative filtering algorithms hold great promise for this type of purpose. Because of limited computational power and sources, aggregation of information from multiple sensor nodes done in the aggregating node is generally accomplished by simple methods for example averaging. Within this paper we show several existing iterative filtering algorithms, while considerably better quality against collusion attacks compared to simple averaging methods, are nonetheless susceptive to some novel sophisticated collusion attack we introduce. However such aggregation is proven to be highly susceptible to node compromising attacks. Because the performance of really low power processors dramatically improves, future aggregator nodes will manage to performing modern-day data aggregation algorithms, thus making WSN less vulnerable. Thus, ascertaining standing of data and status of sensor nodes is vital for WSN. Such algorithms concurrently aggregate data from multiple sources and supply trust assessment of those sources, usually in a kind of corresponding weight factors allotted to data supplied by each source. To deal with this security issue, we advise a noticeable difference for iterative filtering techniques by supplying a preliminary approximation for such algorithms causing them to be not just collusion robust, but additionally better and faster converging

A Novel Security Scheme against Spyware using Sequence Selection of CAPTCHA as Graphical Password

our proposed work will be founded on Click-based graphical secret word plans require a client to tap on an arrangement of focuses on one or more exhibited foundation pictures. With Pass Points, clients make a secret word by clicking five requested focuses anyplace on the given picture. To sign in, clients should accurately rehash the succession of snaps, with every snap falling inside of a satisfactory resilience of the first point. To actualize this angle, alongside a plan changing over the client entered graphical secret key into a cryptographic check key, a "vigorous discretization" plan. It comprised of three covering lattices (imperceptible to the client) used to figure out if the snap purposes of a login endeavor were sufficiently close to the first indicates be acknowledged

Molecular Basis and Differentiation-Associated Alterations of Anion Secretion in Human Duodenal Enteroid Monolayers

Background & Aims: Human enteroids present a novel tool to study human intestinal ion transport physiology and pathophysiology. The present study describes the contributions of Cl- and HCO3 - secretion to total cyclic adenosine monophosphate (cAMP)-stimulated electrogenic anion secretion in human duodenal enteroid monolayers and the relevant changes after differentiation. Methods: Human duodenal enteroids derived from 4 donors were grown as monolayers and differentiated by a protocol that includes the removal of Wnt3A, R-spondin1, and SB202190 for 5 days. The messenger RNA level and protein expression of selected ion transporters and carbonic anhydrase isoforms were determined by quantitative real-time polymerase chain reaction and immunoblotting, respectively. Undifferentiated and differentiated enteroid monolayers were mounted in the Ussing chamber/voltage-current clamp apparatus, using solutions that contained as well as lacked Cl- and HCO3 -/CO2, to determine the magnitude of forskolin-induced short-circuit current change and its sensitivity to specific inhibitors that target selected ion transporters and carbonic anhydrase(s). Results: Differentiation resulted in a significant reduction in the messenger RNA level and protein expression of cystic fibrosis transmembrane conductance regulator, (CFTR) Na+/K+/2Cl- co-transporter 1 (NKCC1), and potassium channel, voltage gated, subfamily E, regulatory subunit 3 (KCNE3); and, conversely, increase of down-regulated-in-adenoma (DRA), electrogenic Na+/HCO3 - co-transporter 1 (NBCe1), carbonic anhydrase 2 (CA2), and carbonic anhydrase 4 (CA4). Both undifferentiated and differentiated enteroids showed active cAMP-stimulated anion secretion that included both Cl- and HCO3 - secretion as th

Particle Swarm Optimization Algorithm for Leakage Power Reduction in VLSI Circuits

Leakage power is the dominant source of power dissipation in nanometer technology. As per the International Technology Roadmap for Semiconductors (ITRS) static power dominates dynamic power with the advancement in technology. One of the well-known techniques used for leakage reduction is Input Vector Control (IVC). Due to stacking effect in IVC, it gives less leakage for the Minimum Leakage Vector (MLV) applied at inputs of test circuit. This paper introduces Particle Swarm Optimization (PSO) algorithm to the field of VLSI to find minimum leakage vector. Another optimization algorithm called Genetic algorithm (GA) is also implemented to search MLV and compared with PSO in terms of number of iterations. The proposed approach is validated by simulating few test circuits. Both GA and PSO algorithms are implemented in Verilog HDL and the simulations are carried out using Xilinx 9.2i. From the simulation results it is found that PSO based approach is best in finding MLV compared to Genetic based implementation as PSO technique uses less runtime compared to GA. To the best of the author’s knowledge PSO algorithm is used in IVC technique to optimize power for the first time and it is quite successful in searching MLV