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Review on unravelling the analytical signatures of fluoroquinolone antibiotics: Exploring diverse matrices through chemometric modelling
, Article Trends in Environmental Analytical Chemistry ; Volume 43 , 2024 ; 22141588 (ISSN) ; Hassanpoor, M ; Velayudhaperumal Chellam, P ; Sharif University of Technology
2024
Abstract
Globally, fluoroquinolones are the third largest antimicrobial category. These molecules can enter natural biota either in unmetabolized or partially metabolised form and undergoes further transformation depending on biotic and abiotic factors in aqueous and terrestrial ecosystems, which can lead to antimicrobial resistance. This requires timely monitoring and prediction of fluoroquinolone and metabolite changes. The physiochemical flexibility of fluoroquinolones, complicated sampling combinations, and matrix interference in sample preparation and detection could give misleading quantifying results. These complex and massive data sets require rigorous statistical and mathematical data...
Investigation on gel polymer electrolyte-based dye-sensitized solar cells using carbon nanotube
, Article Ionics ; May , 2018 , Pages 1-7 ; 09477047 (ISSN) ; Khanmirzaei, M. H ; Lu, S. C ; Ramesh, S ; Ramesh, K ; Sharif University of Technology
Institute for Ionics
2018
Abstract
A new poly (acrylonitrile) (PAN)-based gel polymer electrolyte (GPE) is fabricated to study the effect of carbon nanotube (CNT) on dye-sensitized solar cell (DSSC) efficiency. The GPEs are examined using electrochemical impedance spectroscopy (EIS) to analyze ionic conductivity. A maximum of 4.45 mS cm−1 ionic conductivity is achieved at room temperature with incorporation of 11 wt.% CNT. Performance of DSSC is examined with a solar simulator, and the highest energy conversion efficiency of 8.87% is achieved with the addition of 11 wt.% CNT. All GPE samples are found to follow Arrhenius model with temperature-dependent ionic conductivity testing. Structural properties are also characterized...
Investigation on gel polymer electrolyte-based dye-sensitized solar cells using carbon nanotube
, Article Ionics ; Volume 25, Issue 1 , 2019 , Pages 319-325 ; 09477047 (ISSN) ; Khanmirzaei, M. H ; Lu, S. C ; Ramesh, S ; Ramesh, K ; Sharif University of Technology
Institute for Ionics
2019
Abstract
A new poly (acrylonitrile) (PAN)-based gel polymer electrolyte (GPE) is fabricated to study the effect of carbon nanotube (CNT) on dye-sensitized solar cell (DSSC) efficiency. The GPEs are examined using electrochemical impedance spectroscopy (EIS) to analyze ionic conductivity. A maximum of 4.45 mS cm −1 ionic conductivity is achieved at room temperature with incorporation of 11 wt.% CNT. Performance of DSSC is examined with a solar simulator, and the highest energy conversion efficiency of 8.87% is achieved with the addition of 11 wt.% CNT. All GPE samples are found to follow Arrhenius model with temperature-dependent ionic conductivity testing. Structural properties are also characterized...
FBAR Syndapin 1 recognizes and stabilizes highly curved tubular membranes in a concentration dependent manner
, Article Scientific Reports ; Volume 3 , 2013 ; 20452322 (ISSN) ; Baroji, Y. F ; S. Reihani, S. Nader ; Stamou, D ; Oddershede, L. B ; Bendix, P. M ; Sharif University of Technology
2013
Abstract
Syndapin 1 FBAR, a member of the Bin-amphiphysin-Rvs (BAR) domain protein family, is known to induce membrane curvature and is an essential component in biological processes like endocytosis and formation and growth of neurites. We quantify the curvature sensing of FBAR on reconstituted porcine brain lipid vesicles and show that it senses membrane curvature at low density whereas it induces and reinforces tube stiffness at higher density. FBAR strongly up-concentrates on the high curvature tubes pulled out of Giant Unilamellar lipid Vesicles (GUVs), this sorting behavior is strongly amplified at low protein densities. Interestingly, FBAR from syndapin 1 has a large affinity for tubular...
Unveiling the triple diffusion bioconvective applications for couple stress nanofluid due to an oscillating regime with variable thermal features
, Article BioNanoScience ; Volume 14, Issue 3 , 2024 , Pages 2625-2637 ; 21911630 (ISSN) ; Riaz, A ; Ramesh, K ; Bhatti, M. M ; Sharif University of Technology
2024
Abstract
Thermal engineering and industrial processes see various multidisciplinary applications due to the enhanced thermal performances of nanomaterials. The nanomaterials preserve a profound breakthrough in enhancing the heat transfer phenomenon. The objective of the current investigation is to address the thermal applications of couples-stress nanofluid in the presence of triple diffusion effects. The analysis is subject to the bioconvective significance of the suspension of microbes. The viscosity and thermal conductivity of a couple stress fluids are assumed to be variable. Moreover, we endorse linear thermal radiation effects and approach the problem with an effective Prandtl number. The...
Microemulsion synthesis of nanoparticle PZT powder
, Article AIP Conference Proceedings, 24 October 2010 through 27 October 2010 ; Volume 1315 , 2010 , Pages 265-270 ; 0094243X (ISSN) ; 9780735408715 (ISBN) ; Nemati, Z. A ; Rahmanifar, M. S ; Ramesh, S ; Meenaloshini, S ; Tolouei, R ; Sharif University of Technology
2010
Abstract
Nanocrystalline lead zirconate titanate (PZT) powders have been synthesized using microemulsion processing route. Microemulsion is one of the major processing techniques to synthesize a nanosize, homogenous, and almost agglomerate free ceramic powders. The ternary microemulsion system is consisted of cyclohexane as the oil phase, Triton X100 as the nonionic surfactant phase, and an aqueous phase containing 0.619MPb 2+, 0.325MZr 4+, and 0.3MTi 4+, representing a Pb 2+: Zr 4+: Ti 4+ molar ratio of 1:0.52:0.48. The ratio of these cations has been adjusted using Inductively Coupled Plasma (ICP) technique. After coprecipitation of metallic hydroxides by adding ammonia solution in microemulsion...
Study of microstructure and dielectric properties of PMN-PZT ceramics via a mixed powder method including microemulsion derived PZT powder
, Article Malaysian Journal of Microscopy ; Volume 7, Issue 1 , 2011 , Pages 43-47 ; 18237010 (ISSN) ; Nemati, Z. A ; Meenaloshini, S ; Sankar, U ; Tolouei, R ; Rahmanifar, M. S ; Ramesh, S ; Sharif University of Technology
2011
Abstract
In this research, (X)PZT-(1-X)PMN ceramics (where X is 0.25, 0.5 and 0.75) were achieved from a conventional mixed-oxide method. Lead Zirconate titanate (PZT) powders with composition near the morphotropic phase boundary have been synthesized via a microemulsion processing route. Modified mixed oxides method was used for obtaining single phase Lead Magnesium niobate (PMN) powder with high relative density (98% of T.D.) and good electrical properties (dielectric constant of ≈10 4 at room temperature). Two-step sintering (TSS) has been applied to suppress the accelerated grain growth of PZT-PMN composite compacts in the last sintering stage. The produced samples with high PZT content showed...
Secrecy capacity scaling in large cooperative wireless networks
, Article IEEE Transactions on Information Theory ; Volume 63, Issue 3 , 2017 , Pages 1923-1939 ; 00189448 (ISSN) ; Papadimitratos, P. P ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2017
Abstract
We investigate large wireless networks subject to security constraints. In contrast to point-to-point, interferencelimited communications considered in prior works, we propose active cooperative relaying-based schemes. We consider a network with nl legitimate nodes, ne eavesdroppers, and path loss exponent α ≥ 2. As long as n2e (log(ne))γ = o(nl ), for some positive γ , we show that one can obtain unbounded secure aggregate rate. This means zero-cost secure communication, given fixed total power constraint for the entire network. We achieve this result through: 1) the source using Wyner randomized encoder and a serial (multi-stage) block Markov scheme, to cooperate with the relays and 2) the...
Fast estimation of connectivity in fractured reservoirs using percolation theory
, Article SPE Journal ; Volume 12, Issue 2 , 2007 , Pages 167-178 ; 1086055X (ISSN) ; King, P. R ; Nuratza, P ; Sharif University of Technology
Society of Petroleum Engineers (SPE)
2007
Abstract
Investigating the impact of geological uncertainty (i.e., spatial distribution of fractures) on reservoir performance may aid management decisions. The conventional approach to address this is to build a number of possible reservoir models, upscale them, and then run flow simulations. The problem with this approach is that it is computationally very expensive. In this study, we use another approach based on the permeability contrasts that control the flow, called percolation approach. This assumes that the permeability disorder of a rock can be simplified to either permeable or impermeable. The advantage is that by using some universal laws from percolation theory, the effect of the complex...
A new decoding scheme for errorless codes for overloaded CDMA with active user detection
, Article 2011 18th International Conference on Telecommunications, ICT 2011, Ayia Napa, 8 May 2011 through 11 May 2011 ; 2011 , Pages 201-205 ; 9781457700248 (ISBN) ; Pad, P ; Delgosha, P ; Marvasti, F ; Sharif University of Technology
2011
Abstract
Recently, a new class of binary codes for overloaded CDMA systems are proposed that not only has the ability of errorless communication but also suitable for detecting active users. These codes are called COWDA. In [1], a Maximum Likelihood (ML) decoder is proposed for this class of codes. Although the proposed scheme for coding/decoding shows impressive performance, the decoder can be significantly improved. In this paper, by assuming practical conditions for the traffic in the system, we suggest and prove an algorithm that increases the performance of the decoder several orders of magnitude (the Bit-Error-Rate (BER) is divided by a factor of about 400 in some E b/N0's). The algorithm...
Estimation of the Effective Permeability of Heterogeneous Porous Media by Using Percolation Concepts
, Article Transport in Porous Media ; Volume 114, Issue 1 , 2016 , Pages 169-199 ; 01693913 (ISSN) ; Gago, P. A ; King, P. R ; Sharif University of Technology
Springer Netherlands
2016
Abstract
In this paper we present new methods to estimate the effective permeability (keff) of heterogeneous porous media with a wide distribution of permeabilities and various underlying structures, using percolation concepts. We first set a threshold permeability (kth) on the permeability density function and use standard algorithms from percolation theory to check whether the high permeable grid blocks (i.e., those with permeability higher than kth) with occupied fraction of “p” first forms a cluster connecting two opposite sides of the system in the direction of the flow (high permeability flow pathway). Then we estimate the effective permeability of the heterogeneous porous media in different...
Percolation-based effective permeability estimation in real heterogeneous porous media
, Article 15th European Conference on the Mathematics of Oil Recovery, 29 August 2016 through 1 September 2016 ; 2016 ; 9462821933 (ISBN); 9789462821934 (ISBN) ; Gago, P ; King, P ; DCSE; Schlumberger; Shell ; Sharif University of Technology
European Association of Geoscientists and Engineers
2016
Abstract
It has long been understood that flow behavior in heterogeneous porous media is largely controlled by the continuity of permeability contrasts. With this in mind, we are looking in new methods for a fast estimation of the effective permeability which concentrates on the properties of the percolating cluster. From percolation concepts we use a threshold permeability value (Kth) by which the gridblocks with the highest permeability values connect two opposite side of the system in the direction of the flow. Those methods can be applied to heterogeneous media of a range of permeabilities distribution and various underlying structures. We use power law relations and weighted power averages that...
A novel WaveNet-GRU deep learning model for PEM fuel cells degradation prediction based on transfer learning
, Article Energy ; Volume 293 , 2024 ; 03605442 (ISSN) ; Hassani, P ; Raeesi, M ; Ahmadi, P ; Sharif University of Technology
2024
Abstract
Precise prediction of Remaining Useful Life (RUL) within the transportation industry is essential for cost reduction and enhanced energy efficiency, focusing on extending the operational lifespan of proton exchange membrane fuel cells (PEMFCs). In pursuit of this objective, this study employs data-driven prediction methodologies centered on deep neural networks and transfer learning. The fundamental premise is that these approaches hinge on the compatibility of functional conditions across diverse datasets. Multiple strategies, amalgamating transfer learning, and deep neural networks, are introduced to forecast the PEMFC stack's behavior and its associated RUL. Network hyperparameters are...
Optimization of sputtering parameters for the deposition of low resistivity indium tin oxide thin films
, Article Acta Metallurgica Sinica (English Letters) ; Vol. 27, issue. 2 , Apr , 2014 , p. 324-330 ; Bagheri, B ; Yazdanfar, P ; Rashidian, B ; Sasanpour, P ; Sharif University of Technology
2014
Abstract
Indium tin oxide (ITO) thin films have been deposited using RF sputtering technique at different pressures, RF powers, and substrate temperatures. Variations in surface morphology, optical properties, and film resistances were measured and analyzed. It is shown that a very low value of sheet resistance (1.96 ω/sq.) can be achieved with suitable arrangement of the deposition experiments. First, at constant RF power, deposition at different pressure values is done, and the condition for achieving minimum sheet resistance (26.43 ω/sq.) is found. In the next step, different values of RF powers are tried, while keeping the pressure fixed on the previously found minimum point (1-2 Pa). Finally,...
Comparative assessment of gasification based coal power plants with various CO2 capture technologies producing electricity and hydrogen
, Article Energy and Fuels ; Volume 28, Issue 2 , 20 February , 2014 , Pages 1028-1040 ; ISSN: 08870624 ; Kumar, P ; Hosseini, A ; Yang, A ; Fennell, P ; Sharif University of Technology
2014
Abstract
Seven different types of gasification-based coal conversion processes for producing mainly electricity and in some cases hydrogen (H2), with and without carbon dioxide (CO2) capture, were compared on a consistent basis through simulation studies. The flowsheet for each process was developed in a chemical process simulation tool "Aspen Plus". The pressure swing adsorption (PSA), physical absorption (Selexol), and chemical looping combustion (CLC) technologies were separately analyzed for processes with CO2 capture. The performances of the above three capture technologies were compared with respect to energetic and exergetic efficiencies, and the level of CO2 emission. The effect of air...
Synthesis of nanosize single-crystal hydroxyapatite via mechanochemical method
, Article Materials Letters ; Volume 63, Issue 5 , 2009 , Pages 543-546 ; 0167577X (ISSN) ; Honarmandi, P ; Ebrahimi Kahrizsangi, R ; Honarmandi, P ; Sharif University of Technology
2009
Abstract
Single-crystal hydroxyapatite (HAp) nanorods and nanogranules have been synthesized successfully by a mechanochemical process using two distinct experimental procedures. The experimental outcomes are characterized by transmission electron microscopy (TEM), and powder X-ray diffraction (XRD) techniques. In this work, the feasibility of using polymeric milling media to prepare hydroxyapatite nanoparticles is described. The resulting hydroxyapatite powder exhibits an average size of about 20 to 23 nm. Final results indicate that the proposed synthesis strategy provides a facile pathway to obtain single-crystal HAp with high quality and suitable morphology. © 2008 Elsevier B.V. All rights...
Migrating to Cloud-Native architectures using microservices: An experience report
, Article Workshops on CLIoT, WAS4FI, SeaClouds, CloudWay, IDEA, FedCloudNet 2015 held in conjunction with European Conference on Service-Oriented and Cloud Computing, ESOCC 2015, 15 September 2015 through 17 September 2015 ; Volume 567 , 2016 , Pages 201-215 ; 18650929 (ISSN); 9783319333120 (ISBN) ; Heydarnoori, A ; Jamshidi, P ; Celesti A ; Leitner P ; Sharif University of Technology
Springer Verlag
2016
Abstract
Migration to the cloud has been a popular topic in industry and academia in recent years. Despite many benefits that the cloud presents, such as high availability and scalability, most of the on-premise application architectures are not ready to fully exploit the benefits of this environment, and adapting them to this environment is a non-trivial task. Microservices have appeared recently as novel architectural styles that are native to the cloud. These cloud-native architectures can facilitate migrating on-premise architectures to fully benefit from the cloud environments because non-functional attributes, like scalability, are inherent in this style. The existing approaches on cloud...
Study the effect of connectivity between two wells on secondary recovery efficiency using percolation approach
, Article 15th European Conference on the Mathematics of Oil Recovery, ECMOR 2016, 29 August 2016 through 1 September 2016 ; 2016 ; 9462821933 (ISBN); 9789462821934 (ISBN) ; Masihi, M ; King, P. R ; Gago, P. A ; Sharif University of Technology
European Association of Geoscientists and Engineers, EAGE
2016
Abstract
Estimating available hydrocarbon to be produced during secondary oil recovery is an ongoing activity in field development. The primary plan is normally scheduled during early stage of field's life through master development plan studies. During this period, due to the lake of certain data, estimation of the field efficiency is usually based on rules of thumb and not detailed field characterization. Hence, there is a great motivation to produce simpler physically-based methodologies. The minimum necessity inputs of percolation approach make it a useful tool for foration performance prediction. This approach enables us to attain a better assessment of the efficiency of secondary recovery...
Modeling of CO2-brine interfacial tension: Application to enhanced oil recovery
, Article Petroleum Science and Technology ; Volume 35, Issue 23 , 2017 , Pages 2179-2186 ; 10916466 (ISSN) ; Abbasi, P ; Baghban, A ; Zargar, G ; Abbasi, P ; Sharif University of Technology
2017
Abstract
Development of reliable and accurate models to estimate carbon dioxide–brine interfacial tension (IFT) is necessary, since its experimental measurement is time-consuming and requires expensive experimental apparatus as well as complicated interpretation procedure. In the current study, feed forward artificial neural network is used for estimation of CO2–brine IFT based on data from published literature which consists of a number of carbon dioxide–brine interfacial tension data covering broad ranges of temperature, total salinity, mole fractions of impure components and pressure. Trial-and-error method is utilized to optimize the artificial neural network topology in order to enhance its...
Improved advection algorithm of computational modeling of free surface flow using structured grids
, Article Computer Methods in Applied Mechanics and Engineering ; Volume 195, Issue 7-8 , 2006 , Pages 775-795 ; 00457825 (ISSN) ; Abdollahi, J ; Homayonifar, P ; Varahram, N ; Davami, P ; Sharif University of Technology
2006
Abstract
In the present study a finite difference method has been developed to model the transient fluid flow and heat transfer. A single fluid has been selected for modeling of mold filling and The SOLA-VOF 3D technique was modified to increase the accuracy of simulation of filling phenomena for shape castings. The model was then evaluated with the experimental methods. Refereeing to the experimental and simulation results a good consistency and the accuracy of the suggested model are confirmed. © 2005 Published by Elsevier B.V