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| 1 | Optimizing the seed-cell filling performance of an inclined plate seed metering device using integrated ANN-PSO approach显示文摘Uniformseed distribution within the row is the prime objective of precision planters for better crop growth and yield.Inclined plate planters are generally used for sowing bold seeds likemaize,groundnut,chickpea,and their operating parameters like the forward speed of operation,the seedmetering plate inclination,and the seed level in the hopper affect the cell fill and subsequently the uniformseed distribution.Therefore,to achieve precise seed distribution,these parameters need to be optimized.In the present study,out of the different optimization techniques,a new intelligent optimization technique based on the integrated ANN-PSO approach has been used to achieve the set goal.A 3–5-1 artificial neural network(ANN)model was developed for predicting the cell fill of inclined plate seedmetering device,and the particle swarmoptimization(PSO)algorithmwas applied to obtain the optimum values of the operating parameters corresponding to 100%cell fill.The most appropriate optimal values of the forward speed of operation,the seed metering plate inclination,and the seed level in the hopper for achieving 100%cell fill were found to be 3 km/h,50-degree,and 75%of total height,respectively.The proposed integrated ANN-PSO approach was capable of predicting the optimal values of operating parameters with amaximumdeviation of 2%compared to the experimental results,thus confirmed the reliability of the proposed optimization technique. | C.M.Pareek V.K.Tewari Rajendra Machavaram Brajesh Nare | 2021 | Artificial Intelligence in Agriculture2021，，1： | 4 |
| 2 | Optimizing the aeration performance of a perforated pooled circular stepped cascade aerator using hybrid ANN-PSO technique显示文摘Artificial aeration system for aquaculture ponds becomes essential to meet the oxygen requirement posed by the aquatic species.The performance of an aerator is generally mea-sured in terms of standard aeration efficiency(SAE),which is significantly affected by the different geometric and dynamic parameters of the aerator.Therefore,to enhance the aer-ation performance of an aerator,these parameters need to be optimized.In the present study,a perforated pooled circular stepped cascade(PPCSC)aerator was developed,and the geometric and dynamic parameters of the developed aerator were optimized using the hybrid ANN-PSO technique for maximizing its aeration efficiency.The geometric parameters include consecutive step width ratio(W_(i-1)/W_(i))and the perforation diameter to the bottom-most radius ratio(d/R_(b)),whereas the dynamic parameter includes the water flow rate(Q).A 3–6-1 ANN model coupled with particle swarm optimization(PSO)approach was used to obtain the optimum values of geometric and dynamic parameters correspond-ing to the maximum SAE.The optimal values of the consecutive step width ratio(W_(i-1)/W_(i)),the perforation diameter to the bottom-most radius ratio(d/R_(b)),and the water flow rate(Q)for maximizing the SAE were found to be 1.15,0.0027 and 0.0167 m^(3)/s,respectively.The cross-validation results showed a deviation of 3.07%between the predicted and experimen-tal SAE values,thus confirming the adequacy of the proposed hybrid ANN-PSO technique. | Subha M.Roy C.M.Pareek Rajendra Machavaram C.K.Mukherjee | 2022 | Information Processing in Agriculture2022，9，4： | 2 |
| 3 | Modeling and design of tape transport mechanism显示文摘 | Wah S L Machavaram V Calapathy R | 2006 | Mathematics and Computers in Simulation2006，63，72： | 1 |
| 4 | Simultaneous DSC-FTIR spectroscopy: Comparison of cross-linking kinetics of an epoxy/amine resin system显示文摘 | Surya D. Pandita Liwei Wang Ramani S. Mahendran Venkata R. Machavaram Muhammad S. Irfan Dee Harris Gerard F. Fernando | 2012 | Thermochimica Acta2012，，： | 1 |
| 5 | Effect of ketoconazole and rifampicin on the pharmacokinetics of ranitidine in healthy human volunteers:a possible role of P-glycoprotein显示文摘 | Machavaram KK Gundu J Yamsani MR | 2006 | Drug Metahol Drug Interact2006，22，1： | 1 |
| 6 | Fabrication of intrinsic fiber Fabry-Perot sensors in silica fibres using hydrofluoric acid etching显示文摘 | V R Machavaram R A Badcock G F Fernando | 2007 | Sensors and Actuators A-Physical2007，138，1： | 1 |
| 7 | Clean wet-filament winding-part 1 : design concept and simu- lations显示文摘 | Pandita S D Irfan M S Machavaram V R Shotton-Gale N Ma- hendran R S Wait C F Paget M A Harris D Leek C Fernando G F | 2012 | Journal of Composite Materials2012，，： | 1 |
| 8 | Biodiesel production from mixture of mahua and simarouba oils with high free fatty acids显示文摘 | Jena P C Raheman H Prasanna Kumar G V Machavaram R | | 0，，08： | 1 |
| 9 | Organic carbon flow in the Ob, Yenisey River and Kara Sea of the arctic region显示文摘 | Krishnamurthy R V Machavaram M Baskaran M | 2001 | Marine Polluetin Bulletin2001，42，9： | 1 |
| 10 | Earth surface evaporative process: a case study from the Great Lakes region of the United States based on deuterium excess in precipitation 显示文摘 | Machavaram M V Krishnamurthy R V | 1995 | Geochimica et Cosmochimica Acta1995，59，20： | 1 |
| 11 | Fabrication of intrinsic fibre Fabry Perot sensors in silica fibres using hydrofloric acid etching 显示文摘 | V R Machavaram R A Badcock G F Fernando | 2007 | Sens Actuators A2007，138，1： | 1 |
| 12 | Lateral sprea- ding of a fiber bundle via mechanical means显示文摘 | Irfan M S Machavaram V R Mahendran R S | 2011 | Journal of com- posites materials2011，46，3： | 1 |
| 13 | Identification of crack in a structural member using improved radial basis function(IRBF)neural networks显示文摘Purpose–The purpose of this paper is to provide an effective and simple technique to structural damage identification,particularly to identify a crack in a structure.Artificial neural networks approach is an alternative to identify the extent and location of the damage over the classical methods.Radial basis function(RBF)networks are good at function mapping and generalization ability among the various neural network approaches.RBF neural networks are chosen for the present study of crack identification.Design/methodology/approach–Analyzing the vibration response of a structure is an effective way to monitor its health and even to detect the damage.A novel two-stage improved radial basis function(IRBF)neural network methodology with conventional RBF in the first stage and a reduced search space moving technique in the second stage is proposed to identify the crack in a cantilever beam structure in the frequency domain.Latin hypercube sampling(LHS)technique is used in both stages to sample the frequency modal patterns to train the proposed network.Study is also conducted with and without addition of 5%white noise to the input patterns to simulate the experimental errors.Findings–The results show a significant improvement in identifying the location and magnitude of a crack by the proposed IRBF method,in comparison with conventional RBF method and other classical methods.In case of crack location in a beam,the average identification error over 12 test cases was 0.69 per cent by IRBF network compared to 4.88 per cent by conventional RBF.Similar improvements are reported when compared to hybrid CPN BPN networks.It also requires much less computational effort as compared to other hybrid neural network approaches and classical methods.Originality/value–The proposed novel IRBF crack identification technique is unique in originality and not reported elsewhere.It can identify the crack location and crack depth with very good accuracy,less computational effort and ease of implementation. | Rajendra Machavaram Shankar Krishnapillai | 2013 | International Journal of Intelligent Computing and Cybernetics2013，6，2： | 0 |
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