DSpace Collection:http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/172024-03-29T06:59:16Z2024-03-29T06:59:16ZStochastic communication for application-specific Networks-on-ChipNitinChauhan, Durg Singhhttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/93922023-01-24T07:04:23Z2010-01-01T00:00:00ZTitle: Stochastic communication for application-specific Networks-on-Chip
Authors: Nitin; Chauhan, Durg Singh
Abstract: In this paper, we have developed analytical stochastic communication technique
for inter and intra-Networks-on-Chip (NoC) communication. It not only separates
the computation and communication in Networks-in-Package (NiP) but also
predicts the communication performance. Moreover, it will help in tracking of the
lost data packets and their exact location during the communication. Further, the proposed
technique helps in building the Closed Donor Controlled Based Compartmental
Model, which helps in building Stochastic Model of NoC and NiP. This model
helps in computing the transition probabilities, latency, and data flow from one IP to
other IP in a NoC and among NoCs in NiP. From the simulation results, it is observed
that the transient and steady state response of transition probabilities give state of data
flow latencies among the different IPs in NoC and among the compartments of NoCs
in NiP. Furthermore, the proposed technique produces low latency as compared to the
latencies being produced by the existing topologies2010-01-01T00:00:00ZHigh-throughput screening of natural compounds and inhibition of a major therapeutic target HsGSK-3β for Alzheimer’s disease using computational approachesShukla, RohitSingh, Tiratha Rajhttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/93912023-01-24T07:01:38Z2021-01-01T00:00:00ZTitle: High-throughput screening of natural compounds and inhibition of a major therapeutic target HsGSK-3β for Alzheimer’s disease using computational approaches
Authors: Shukla, Rohit; Singh, Tiratha Raj
Abstract: Alzheimer’s disease is a leading neurodegenerative disease worldwide and is the 6th leading cause of
death in the USA. AD is a very complex disease and the drugs available in the market cannot fully cure it. The
glycogen synthase kinase 3 beta plays a major role in the hyperphosphorylation of tau protein which forms the
neurofibrillary tangles which is a major hallmark of AD. In this study, we have used a series of computational
approaches to find novel inhibitors against GSK-3β to reduce the TAU hyperphosphorylation2021-01-01T00:00:00ZUtilization of Response Surface Methodology for Modeling and Optimization of Tablet Compression ProcessGarlapati, Vijay KumarRoy, Lakshmishrihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/93902023-01-24T06:38:01Z2017-01-01T00:00:00ZTitle: Utilization of Response Surface Methodology for Modeling and Optimization of Tablet Compression Process
Authors: Garlapati, Vijay Kumar; Roy, Lakshmishri
Abstract: Table compression process has a profound effect on different
quality attributes of table manufacturing process such as appearance, content uniformity, hardness, thickness, friability, Disintegration time and Dissolution time. Among all the table compression parameters, feeder speed, precompression, main compression forces and Turret speed have
a substantial effect on tablet properties. Aim: Statistical modeling and
optimization approach has been utilized to model and optimize Levocetirizine
tablet formulation compression process using Response Surface Methodology.
Methods: A 3-level Central Composite Design has been chosen by taking turret speed, pre & main compression forces and Feeder speed as input variables and tablet characteristics (hardness, thickness and disintegration
time) as output variables. Results: Non-linear regression models have obtained with respective to output variables (hardness, thickness and disintegration time) with R2 values of 99.26%, 98.01% and 99.84% for hardness, thickness and disintegration time, respectively. The effect of individual, square and interaction terms on the table hardness, thickness and disintegration has been summarized through the significance test and depicted through response surface plots. An optimized tablet characteristic of 15.3 kP hardness, 3.7 mm thickness and 226 sec disintegration time have been obtained using predicted tablet compression process variables of 68 rpm Turret speed, pre and main compression forces of 2.05 and 7.95 kN
respectively and Feeder speed of 27 rpm. Conclusion: The results
demonstrated the reliability of the proposed statistical approach to model and optimized the compression studies of levocetirizine tablet formulation. The present study helps in scale-up studies of tablet compression during Levocetirizine tablet formulation.2017-01-01T00:00:00ZTiO2/PANI nanocomposite loaded in PVA for anticorrosive applicationsArora, RajeevSrivastav, AnupamMandal, Utam KumarSharma, Pankajhttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/93892023-01-24T06:33:59Z2016-01-01T00:00:00ZTitle: TiO2/PANI nanocomposite loaded in PVA for anticorrosive applications
Authors: Arora, Rajeev; Srivastav, Anupam; Mandal, Utam Kumar; Sharma, Pankaj
Abstract: We report the morphological and electrical study of a composite of polyvinyl alcohol (PVA) and nanotitanium dioxide
(TiO2-50 nm) in conducting polymer polyaniline (PANI). The composite was synthesized using in-situ polymerization technique.
The composite was characterized in terms of morphology and electrical properties using scanning electron microscopy
and DC electrical conductivity ( dc). We observed that the DC electrical conductivity of the composite film increased with
increasing the loading of nanocomposite material from 20 % to 40 % into PVA stabilizer. The DC conductivity results showed
that the molecular chain contribution of the nanocomposite material (nano-TiO2+ PANI) was the prominent carrier in the
composite film made of the nanocomposite and PVA stabilizer.2016-01-01T00:00:00Z