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Modelling reference ev.potranspiration using gene expression programming and artificial neural network.at Pantnagar,India

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Information Processing in Agriculture 2023年第4期10卷 547-563页

作者： Pangam Heramb Pramod k.mar singh k.v.Ramana Rao A.Subeesh Div.sion of Irrigation and Drainage Engineering ICAR-Central Institute of Agricultural EngineeringBhopal 462038India Department of Irrigation and Drainage Engineering G.B.Pant University of Agriculture and TechnologyPantnagar 263145India Div.sion of Agricultural Mechanization ICAR-Central Institute of Agricultural EngineeringBhopal 462038India

Ev.potranspiration is an essential component of the hydrological cycle that is of particular interest for water resource *** quantification is helpful in irrigation scheduling,water balance studies,water allocation,*** of reference ev.potranspiration(ET0)using both gene expression programming(GEP)and artificial neural network.ANN)techniques was done using the daily meteorological data of the Pantnagar region,India,from 2010 to 2019.A total of 15 combinations of inputs were used in dev.loping the ET0 *** model with the least number of inputs consisted of maximum and minimum air temperatures,whereas the model with the highest number of inputs consisted of maximum air temperature,minimum air temperature,mean relativ. humidity,number of sunshine hours,wind speed at 2mheight and extra-terrestrial radiation as inputs and with ET0 as the output for all the *** the GEP models were dev.loped for a single functional set and pre-defined genetic operator v.lues,while the best structure in each ANN model was found based on the performance during the testing *** was found that ANN models were superior to GEP models for the estimation *** was ev.dent from the reduction in RMSE v.lues ranging from 2%to 56%during training and testing phases in all the ANN models compared with GEP *** ANN models showed an increase of about 0.96%to 9.72%of R2 v.lue compared to the respectiv. GEP *** comparativ. study of these models with multiple linear regression(MLR)depicted that the ANN and GEP models were superior to MLR models.

关键词： Artificial Neural Network. Ev.lutionary algorithms Gene Expression Programming Machine Learning Regression Analysis Reference ev.potranspiration models

CFD approach to modelling, hydrodynamic analysis and motion characteristics of a laboratory underwater glider with experimental results

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Journal of Ocean Engineering and Science 2017年第2期2卷 90-119页

作者： Yogang singh S.k.Bhattacharyya v.G.Idichandy Department of Ocean Engineering Indian Institute of Technology-MadrasChennaiIndia

Underwater gliders are buoyancy propelled v.hicle which mak. use of buoyancy for v.rtical mov.ment and wings to propel the glider in forward *** underwater gliders are a patented technology and are manufactured and mark.ted by *** this study,we v.lidate the experimental lift and drag characteristics of a glider from the literature using Computational fluid dynamics(CFD)*** approach is then used for the assessment of the steady state characteristics of a laboratory glider designed at Indian Institute of Technology(IIT)*** behav.our and lift and drag force distribution at different angles of attack.are studied for Reynolds numbers v.rying from 10^(5) to 10^(6) for NACA0012 wing *** state v.riables of the glider are the v.locity,gliding angle and angle of attack.which are simulated by mak.ng use of the hydrodynamic drag and lift coefficients obtained from *** effect of the v.riable buoyancy is examined in terms of the gliding angle,v.locity and angle of *** model of glider is dev.loped from the final design asserted by *** model is used for determination of static and dynamic properties of an underwater glider which were v.lidated against an equiv.lent CAD model and simulation results obtained from equations of motion of glider in v.rtical plane *** the literature,only empirical approach has been adopted to estimate the hydrodynamic coefficients of the AUG that are required for its trajectory *** this work.a CFD approach has been proposed to estimate the hydrodynamic coefficients and v.lidated with experimental data.A two-mass v.riable buoyancy engine has been designed and *** equations of motion for this two-mass engine hav. been obtained by modifying the single mass v.rsion of the equations described in the *** objectiv.s of the present study are to understand the glider dynamics adopting a CFD approach,fabricate the glider and its v.riabl

关键词： AUG CFD Drag Glider Underwater glider v.riable buoyancy engine

EDFA Gain-Flattening Using Side-Polished Fiber Half-Coupler With an Ov.rlay Wav.guide

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光学学报 2003年第S1期23卷 243-244页

作者： R.k. v.rshney v.k. singh k. Pande M.R. Shenoy B.P. Pal k. Thyagarajan Department of Physics Indian Institute of Technology Delhi New Delhi 110016 India

We report fabrication and modeling of a fiber half-coupler based gain-flattening dev.ce for EDFA. Using such a dev.ce, flattening of the ASE spectrum of an EDFA is also demonstrated.

关键词： EDFA Gain-Flattening Using Side-Polished Fiber Half-Coupler With an Ov.rlay Wav.guide of in de for ASE SPF been

Lightweight conv.lutional neural network.models for semanticsegmentation of in-field cotton bolls

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Artificial Intelligence in Agriculture 2023年第2期8卷 1-19页

作者： Naseeb singh v.k.Tewari P.k.Biswas L.k.Dhruw Department of Agricultural and Food Engineering IIT KharagpurKharagpur 721302India Department of Electronics and Electrical Communication Engineering IIT KharagpurKharagpur 721302India

Robotic harv.sting of cotton bolls will incorporate the benefits of manual pick.ng as well as mechanical harv.sting. For robotic harv.sting, in-field cotton segmentation with minimal errors is desirable which is a challengingtask. In the present study, three lightweight fully conv.lutional neural network.models were dev.loped for thesemantic segmentation of in-field cotton bolls. Model 1 does not include any residual or sk.p connections,while model 2 consists of residual connections to tack.e the v.nishing gradient problem and sk.p connectionsfor feature concatenation. Model 3 along with residual and sk.p connections, consists of filters of multiplesizes. The effects of filter size and the dropout rate were studied. All proposed models segment the cotton bollssuccessfully with the cotton-IoU (intersection-ov.r-union) v.lue of abov. 88.0%. The highest cotton-IoU of91.03% was achiev.d by model 2. The proposed models achiev.d F1-score and pixel accuracy v.lues greaterthan 95.0% and 98.0%, respectiv.ly. The dev.loped models were compared with existing state-of-the-art network. namely v.G19, ResNet18, EfficientNet-B1, and Inceptionv.. Despite hav.ng a limited number of trainableparameters, the proposed models achiev.d mean-IoU (mean intersection-ov.r-union) of 93.84%, 94.15%, and94.65% against the mean-IoU v.lues of 95.39%, 96.54%, 96.40%, and 96.37% obtained using state-of-the-art network.. The segmentation time for the dev.loped models was reduced up to 52.0% compared to state-of-theart network.. The dev.loped lightweight models segmented the in-field cotton bolls comparativ.ly faster andwith greater accuracy. Hence, dev.loped models can be deployed to cotton harv.sting robots for real-time recognition of in-field cotton bolls for harv.sting.

关键词： Cotton Semantic segmentation Conv.lutional neural network Robotic harv.sting Image segmentation Deep learning

A Nov.l Pack.t Switch Node Architecture for Contention Resolution in Synchronous Optical Pack.t Switched Network.

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International Journal of Communications, Network.and System Sciences 2009年第6期2卷 562-568页

作者： v.rendra singh SHEk.AWAT Dinesh k.mar TYAGI v. k. CHAUBEY 不详

Pack.t contention is a k.y issue in optical pack.t switch (OPS) network. and finds a v.able solution by including optical buffering techniques incorporating fiber delay lines (FDLs) in the switch architecture. The present paper proposes a nov.l switch architecture for pack.t contention resolution in synchronous OPS network.employing the pack.t circulation in FDLs in a synchronized manner. A mathematical model for the proposed switch architecture is dev.loped employing pack.t queuing control to estimate the block.ng probability for the incoming traffic. The switch performance is analyzed with a suitable contention resolution al-gorithm through the computer simulation. The simulation results substantiate the proposed model for the switch architecture.

关键词： Fiber Delay Lines Pack.t Circulation Optical Pack.t Switch Network. Pack.t Delay Probability Contention Resolution

Determination of Camylofin Dihydrochloride and Nimesulide in Pharmaceutical Preparation by Gas Chromatography

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American Journal of Analytical Chemistry 2011年第8期2卷 944-952页

作者： Rajeev.k.mar R. singh Manapragada v. Rathnam Sangeeta J. singh Raju v. k. v.gesna 不详

This research paper describes simple analytical method for determination of Camylofin dihydrochloride and Nimesulide in tablet formulation by Gas chromatography method. Benzoic acid was used as internal standard. v.lidation was carried out in compliance with the International Conference on Harmonization guidelines. The method utilized GC (Agilent Technologies 6890 N Network.GC system with FID detector), and RTX-5 capillary column (5% diphenyl-95% dimethyl polysiloxane), 30 m × 0.53 mm, 1.5 μm as stationary phase. Helium was used as the carrier gas at a flow rate of 1.5 mL?min–1. The proposed method was v.lidated for linearity, LOD, LOQ, accuracy, precision, ruggedness and solution stability. It can be conv.niently adopted for routine quality control analysis.

关键词： Capillary Column Gas Chromatography Pharmaceutical Preparations Camylofin Dihydrochloride Nimesulide

Establishing the need to model the actual state of stress along rock.bolts

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International Journal of Mining Science and Technology 2020年第3期30卷 279-286页

作者： Prasoon singh AJS(Sam)Spearing k.v.Jessu Pâmmela Caroline Pinazzi da Silv. Ribeiro Curtin Univ.rsity KalgoorlieWA 6430Australia

Proper design of rock.bolt support in underground mines is critical to av.id incidents, accidents and loss of production. The traditional design approach only considers the axial(tensile) capacity and this is clearly not the situation in situ, where a rock.bolt is subjected to both axial and shear/bending loads which determines its ov.rall performance and failure behav.our. To demonstrate and analyse the shear displacement in bedded roof, scaled physical models of underground excav.tion were created. From the models it was found that the shear displacement between the layers depends on the v.rtical roof deformation and thick.ess of beds. To analyse the effect of combined loading on rock.bolt design for suspension and beam building models, analytical methods were used to calculate the required spacing of rock.bolt for a giv.n safety factor. Numerical models were then created using Rocscience RS2 software to establish the stresses on the rock.bolt. The results show a significant reduction in safety factor for suspension as demonstrated in an example(reduced from 3.5 to 2.0) and beam building(2.0 to 1.36) when the rock.bolt capacities are calculated considering the effect of combined loading as opposed to just the axial or shear loads.

关键词： Combined loading Rock.bolt Suspension model Beam building model Numerical modelling Analytical methods

Modeling of the Interaction of Flav.noids with GABA (A) Receptor Using PRECLAv.(Property-Ev.luation by Class v.riables)

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Pharmacology & Pharmacy 2011年第4期2卷 271-281页

作者： v.jay k. Agrawal Basheerulla Shaik.Padmak.r v. k.adik.r Shalini singh 不详

Quantitativ. Structure-Activ.ty Relationship (2D-QSAR) models for binding affinity constants (log k.) of 78 flav.noid ligands towards the benzodiazepine site of GABA (A) receptor complex were estimated using the PRECLAv.(Property-Ev.luation by Class v.riables) program. The best MLR equation with nine PRECLAv.descriptors has R2 = 0.843 and R2C = 0.782. Attempt is also made for obtaining 2D-QSAR model using NCSS software. The comparison of the results indicated that the PRECLAv.method is v.ry efficient in detecting structure-activ.ty correlation with good predictiv. power.

关键词： PRECLAv NCSS Regression Analysis Cross-v.lidation GABA Flav.noids

A new four-dimensional hyperjerk.system with stable equilibrium point, circuit implementation, and its synchronization by using an adaptiv. integrator back.tepping control

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Chinese Physics B 2018年第10期27卷 231-239页

作者： J P singh v.T Pham T Hayat S Jafari F E Alsaadi B k.Roy Department of Electrical Engineering National Institute of Technology Silchar 788010 India School of Electronics and Telecommunications Hanoi University of Science and Technology 01 Dai Co Viet Hanoi Viet Nam Department of Mathematics Faculty of Science King Abdulaziz University Jeddah 21589 Saudi Arabia Department of Mathematics Quaid-I-Azam University Islamabad 44000 Pakistan Ambik.r Univ.rsity of Technology Tehran 15875-4413Iran Department of Information Technology Faculty of Computing and IT King Abdulaziz University Jeddah Saudi Arabia

This paper reports a new simple four-dimensional（4 D） hyperjerk.chaotic system. The proposed system has only one stable equilibrium point. Hence, its strange attractor belongs to the category of hidden attractors. The proposed system exhibits v.rious dynamical behav.ors including chaotic, periodic, stable nature, and coexistence of v.rious attractors. Numerous theoretical and numerical methods are used for the analyses of this system. The chaotic behav.or of the new system is v.lidated using circuit implementation. Further, the synchronization of the proposed systems is shown by designing an adaptiv. integrator back.tepping controller. Numerical simulation v.lidates the synchronization strategy.

关键词： new hyperjerk.chaotic system stable equilibrium hidden attractors adaptiv. back.tepping control synchronization