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Research ArticleOpen accessIn the abstractDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,022 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization and Prediction of Motorcycle Injection System Performance with Feed-Forward Back-Propagation Method Artificial Neural Network (ANN)La Ode Ichlas Syahrullah, Nazaruddin SinagaThis research studied the use of Artificial Neural Network (ANN) using feed-forward back-propagation model to optimize and predict the performance of a motorcycle fuel injection systems of gasoline. The parameters such as speed, throttle position, ignition timing and injection timing is used as the input parameters. While the parameters of fuel consumption and engine torque is used as the output … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 16 Feb 2016 · 13,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractFAULT DETECTION IN SWITCHED RELUCTANCE MOTOR DRIVES USING DISCRETE WAVELET TRANSFORM AND K-MEANS CLUSTERINGV. S. Chandrika, A. Ebenezer JeyakumarThis study presents a novel method of detection of inter turn shorts based on k means clustering technique. In addition to inter turn short detection, the other faults like open, short, phase to phase faults and DC volt-age faults are detected through wavelet transforms and k means clustering. Open and short faults are classified using artificial neural network. All other … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 30 Dec 2013 · 7,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of a Heavy Duty Chisel Plow at Various Tillage Depth and Forward SpeedsS. A. Al-Suhaibani, A.E. GhalyProblem statement: Tillage is a process of creating a desirable soil condition for seed germination and growth. The tillage of soil is considered to be one of the biggest farm operations as the tillage operation requires the most energy on the farm. Manufacturers of tillage implements tend to overdesign their products due to a lack of the proper testing and … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 4 Nov 2010 · 8,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Plowing Depth of Tillage and Forward Speed on the Performance of a Medium Size Chisel Plow Operating in a Sandy SoilS.A. Al-Suhaibani, A.E. GhalyProblem statement: Tillage is a process of creating a desirable soil condition for seed germination and growth. The tillage of soil is considered to be one of the biggest farm operations as the tillage operation requires the most energy on the farm. Chisel plow is widely used by farmers as a primary tillage tool. Performance data for chisel plow operation … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 3 · 30 Sep 2010 · 10,111 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Kinetic Parameters of a Super Heavy Chisel Plow Under Various Operating ConditionsS. A. Al-Suhaibani, A. Al-Janobi, A. E. GhalyProblem statement: Tillage is a process of creating a desirable soil condition for seed germination and growth. The tillage of soil is considered to be one of the biggest farm operations as the tillage operation requires the most energy on the farm. Chisel plow is widely used by farmers as a primary tillage tool. Performance data for chisel plow operation … …American Journal of Applied Sciences, Vol. 7, Issue 8 · 31 Aug 2010 · 7,652 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuarter-Sweep Projected Modified Gauss-Seidel Algorithm Applied to Linear Complementarity ProblemW. S. Koh, J. Sulaiman, R. MailProblem statement: Modified Gauss-Seidel (MGS) was developed in order to improve the convergence rate of classical iterative method in solving linear system. In solving linear system iteratively, it takes longer time when many computational points involved. It is known that by applying quarter-sweep iteration scheme, it can decrease the computational operations without altering the accuracy. In this study, we investigated … …American Journal of Applied Sciences, Vol. 7, Issue 6 · 30 Jun 2010 · 7,399 accessesView PDFCite
Research ArticleOpen accessIn the abstractHigh Quality Komatsuna (Brassica rapa L. nothovar) Production by Using Silicate Minerals Treated Nutrient SolutionSheheli Islam, Kumagai Kazunori, Noriko Takeda, Katsumi IshikawaProblem statement: Good water quality not only produces good crop yield, but also maintains environmental quality and so with plant, animal and human health. Therefore, protecting the quality of water by using non chemical materials is an emerging issue to be solved. Bakuhan seki having additional negative charge were found to have the capacity of improving condition of water while … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 1 · 31 Mar 2009 · 8,637 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligence System for Software Maintenance Severity PredictionParvinder Singh Sandhu, Sunil Kumar, Hardeep SinghThe software industry has been experiencing a software crisis, a difficulty of delivering software within budget, on time, and of good quality. This may happen due to number of defects present in the different modules of the project that may require maintenance. This necessitates the need of predicting maintenance urgency of the particular module in the software. In this paper, … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,941 accessesView PDFCite