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38 articles for “Hybrid Drive”
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Research ArticleOpen accessEvery word in the titleSingularity Analysis of a Hybrid Serial-Cable Driven Planar RobotSamir Lahouar, Lotfi RomdhaneIn this study, we address the problem of singularities of a hybrid serial-cable driven planar robot. Based on an analytical kinetostatic analysis three types of singularities are determined, i.e., serial, parallel, and combined singularities. In addition, cable tensions should be positive, otherwise, the robot will be uncontrollable. The serial singularity corresponds to positions where the serial port of the robot … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 26 Sep 2022 · 5,604 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Auditory Based Interaction Framework for Driver Assistance SystemDalbir SinghProblem statement: The rapid development of Driver Assistance System (DAS) provides drivers with radically enhanced information and functionality. The nature of the current DAS requires a complex human-machine interaction which is distracting and may increase the risk of road accidents. The interaction between the driver and DAS should aid the driving process without interfering with safety and ease of vehicle … …Journal of Computer Science, Vol. 6, Issue 12 · 22 Nov 2010 · 7,188 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleReal Time Hybrid Controller Implementation for Switched Reluctance Motor DriveS. Paramasivam, R. ArumugamThis study presents the real time hybrid controller implementation for a Switched Reluctance motor Drive. The developed hybrid control law consists of Proportional Integral (PI) controller at steady state, PI-type fuzzy logic controller (FLC) at transient state and a simple logic controller between steady and transient states to achieve desired performance at various operating conditions under soft chopping operation. The … …American Journal of Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2004 · 7,240 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHydrological Forecasting Using Hybrid Data-Driven ApproachYoungmin Seo, Sungwon KimThis study develops a hybrid model, EEMD-FANN, coupling feed Forward Artificial Neural Network (FANN) and Ensemble Empirical Mode Decomposition (EEMD) for improving the accuracy of daily river stage forecasting. An original river stage data is broken down into a residue and Intrinsic Mode Functions (IMFs) using the EEMD and different FANNs are developed as forecasting models for the decomposed IMFs … …American Journal of Applied Sciences, Vol. 13, Issue 8 · 2 Sep 2016 · 8,136 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Intelligent Control System for an Electrically Power Assisted Cycle (EPAC)Venura Subuddhika Chandraprabha Dissanayake, Risira Erantha Kannangara, Muthukudaarachchige Uvindu Bigumjith Dias et al.This paper is focused on proposing an enhanced controller for a hybrid drive mechanism in an Electrically Power Assisted Cycle (EPAC) to improve the battery energy utilization while maintaining the rider’s physical comfort. A real time data acquisition system was set up on a conventional bicycle using sensors and interfacing modules to verify the operating parameters. A fuzzy logic based … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 4 Jun 2018 · 8,350 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIMPLEMENTATION OF AUTONOMOUS NAVIGATION ALGORITHMS ON TWO-WHEELED GROUND MOBILE ROBOTStephen Armah, Sun Yi, Taher Abu-LebdehThis study presents an effective navigation architecture that combines ’go-to-goal’, ’avoid-obstacle’ and ’follow-wall’ controllers into a full navigation system. A MATLAB robot simulator is used to implement this navigation control algorithm. The robot in the simulator moves to a goal in the presence of convex and non-convex obstacles. Experiments are carried out using a ground mobile robot, Dr Robot X80SV, … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 7 Apr 2014 · 9,431 accessesView PDFCite
Research ArticleOpen accessIn the keywordsParticle Swarm and Neural Network Approach for Fault Clearing of Multilevel InvertersR. M.S. Parvathi, M. SivakumarThis study presents a machine learning technique for fault diagnostics in induction motor drives. A normal model and an extensive range of faulted models for the inverter-motor combination were developed and implemented using a generic commercial simulation tool to generate voltages and current signals at a broad range of operating points selected by a Particle Swarm Optimization (PSO) based machine … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 8 Jun 2013 · 6,486 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop OptimizationJignesh Kariya, Pankaj MudholkarDriven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several challenges, such as poor soil quality, inappropriate crop selection, improper resource utilization, and unpredictable climate conditions. To address these limitations, this paper proposes a hybrid machine learning framework for sustainable crop optimization and predictive analysis in precision … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 865 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,337 accessesView PDFCite