Agriculture plays a vital role in the food production process that occupies nearly one-third of the total surface of the earth.Rice is propagated from the seeds of paddy and it is a stable food almost used byfifty per...Agriculture plays a vital role in the food production process that occupies nearly one-third of the total surface of the earth.Rice is propagated from the seeds of paddy and it is a stable food almost used byfifty percent of the total world population.The extensive growth of the human population alarms us to ensure food security and the country should take proper food steps to improve the yield of food grains.This paper concentrates on improving the yield of paddy by predicting the factors that influence the growth of paddy with the help of Evolutionary Computation Techniques.Most of the researchers used to relay on historical records of meteorological parameters to predict the yield of paddy.There is a lack in analyzing the day to day impact of meteorological parameters such as direction of wind,relative humidity,Instant Wind Speed in paddy cultivation.The real time meteorological data collected and analysis the impact of weather parameters from the day of paddy sowing to till the last day of paddy harvesting with regular time series.A Robust Optimized Artificial Neural Network(ROANN)Algorithm with Genetic Algorithm(GA)and Multi Objective Particle Swarm Optimization Algorithm(MOPSO)proposed to predict the factors that to be concentrated by farmers to improve the paddy yield in cultivation.A real time paddy data collected from farmers of Tamilnadu and the meteorological parameters were matched with the cropping pattern of the farmers to construct the database.The input parameters were optimized either by using GA or MOPSO optimization algorithms to reconstruct the database.Reconstructed database optimized by using Artificial Neural Network Back Propagation Algorithm.The reason for improving the growth of paddy was identified using the output of the Neural Network.Performance metrics such as Accuracy,Error Rate etc were used to measure the performance of the proposed algorithm.Comparative analysis made between ANN with GA and ANN with MOPSO to identify the recommendations for improving the paddy yield.展开更多
通过使用外部工具的管子与管板摩擦焊(FWTPET)来焊接钛管和不锈钢管板。铜被用作连接不同材料的夹层,同时用来减小在接头界面形成的金属间化合物的影响。控制FWTPET过程的工艺参数包括切入速率、旋转速度、切入深度、轴向载荷和溢料槽...通过使用外部工具的管子与管板摩擦焊(FWTPET)来焊接钛管和不锈钢管板。铜被用作连接不同材料的夹层,同时用来减小在接头界面形成的金属间化合物的影响。控制FWTPET过程的工艺参数包括切入速率、旋转速度、切入深度、轴向载荷和溢料槽形状。其中,管的溢料槽形状对接头完整性具有很大的影响。在焊接到不锈钢管板的钛管上制作了各种溢料槽形状,如垂直槽、洞、曲折洞和花瓣型。宏观和微观研究表明接头没有缺陷。X射线衍射(XRD)、扫描电镜(SEM)和能谱(EDS)分析表明了铜层和金属间化合物的存在。研究横向和纵向焊接界面的显微硬度。使用一种新的测试程序称为"切入剪切试验"来检测焊接接头的性能。具有花瓣型溢料槽形状的试样具有最高的剪切断裂载荷(31.58 k N)。使用SEM进一步表征剪切面。展开更多
基金support of RUSA-Phase 2.0 grant sanctioned vide Letter No.F.24-51/2014-U,Policy(TNMulti-Gen),Dep.of Edn.Govt.of India,Dt.09.10.2018.
文摘Agriculture plays a vital role in the food production process that occupies nearly one-third of the total surface of the earth.Rice is propagated from the seeds of paddy and it is a stable food almost used byfifty percent of the total world population.The extensive growth of the human population alarms us to ensure food security and the country should take proper food steps to improve the yield of food grains.This paper concentrates on improving the yield of paddy by predicting the factors that influence the growth of paddy with the help of Evolutionary Computation Techniques.Most of the researchers used to relay on historical records of meteorological parameters to predict the yield of paddy.There is a lack in analyzing the day to day impact of meteorological parameters such as direction of wind,relative humidity,Instant Wind Speed in paddy cultivation.The real time meteorological data collected and analysis the impact of weather parameters from the day of paddy sowing to till the last day of paddy harvesting with regular time series.A Robust Optimized Artificial Neural Network(ROANN)Algorithm with Genetic Algorithm(GA)and Multi Objective Particle Swarm Optimization Algorithm(MOPSO)proposed to predict the factors that to be concentrated by farmers to improve the paddy yield in cultivation.A real time paddy data collected from farmers of Tamilnadu and the meteorological parameters were matched with the cropping pattern of the farmers to construct the database.The input parameters were optimized either by using GA or MOPSO optimization algorithms to reconstruct the database.Reconstructed database optimized by using Artificial Neural Network Back Propagation Algorithm.The reason for improving the growth of paddy was identified using the output of the Neural Network.Performance metrics such as Accuracy,Error Rate etc were used to measure the performance of the proposed algorithm.Comparative analysis made between ANN with GA and ANN with MOPSO to identify the recommendations for improving the paddy yield.
基金financial support provided by UGC-DAE-CSR (CSR-KN/CRS-04/201213/738) through fellowship
文摘通过使用外部工具的管子与管板摩擦焊(FWTPET)来焊接钛管和不锈钢管板。铜被用作连接不同材料的夹层,同时用来减小在接头界面形成的金属间化合物的影响。控制FWTPET过程的工艺参数包括切入速率、旋转速度、切入深度、轴向载荷和溢料槽形状。其中,管的溢料槽形状对接头完整性具有很大的影响。在焊接到不锈钢管板的钛管上制作了各种溢料槽形状,如垂直槽、洞、曲折洞和花瓣型。宏观和微观研究表明接头没有缺陷。X射线衍射(XRD)、扫描电镜(SEM)和能谱(EDS)分析表明了铜层和金属间化合物的存在。研究横向和纵向焊接界面的显微硬度。使用一种新的测试程序称为"切入剪切试验"来检测焊接接头的性能。具有花瓣型溢料槽形状的试样具有最高的剪切断裂载荷(31.58 k N)。使用SEM进一步表征剪切面。
