Search Results - (( java application optimisation algorithm ) OR ( parameters variation needs algorithm ))
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1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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3
Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
Published 2019“…The proposed approach contains several benefits including simple implementation, tolerance of turbine parameter or several nonparametric uncertainties. Robust control of the generator output power with wind-speed variations can also be considered as a big advantage of this strategy.…”
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4
Arbitrary Lagrangian-Eulerian form of flowfield dependent variation (ALE-ADV) method for moving boundary problems
Published 2015“…Flowfield Dependent Variation (FDV) method is a mixed explicit-implicit numerical scheme that was originally developed to solve complex flow problems through the use of so-called implicitness parameters. …”
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5
Investigating the performance of an amplitude-independent algorithm for detecting the hand muscle activity of stroke survivors
Published 2020“…A comparison between the performance of an amplitude-independent muscle activity detection algorithm and three amplitude-dependent algorithms was conducted by using sEMG signals recorded from six hemiparesis stroke survivors and from six healthy subjects. …”
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An adaptive predictive fuzzy logic for the altitude control of a micro-satellite
Published 2010“…A micro-satellite in space can behave in an un-predictive way due the effect of variations in its system parameters and time delay. …”
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A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
Published 2023Article -
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Adaptive linux-based TCP congestion control algorithm for high-speed networks
Published 2017“…Fundamentally, TCP-based applications naturally need to deal with links of anydistance without the need of human reconfiguration. …”
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9
A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System
Published 2017“…In order to coordinate the power supply from fuel cells and PVs, a power management system needs to be designed for the microgrid system. This paper presents a power management system for a grid-connected PV and solid oxide fuel cell (SOFC), considering variation in the load and solar radiation. …”
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10
Development of energy storage system for storing regenerative braking energy from train
Published 2022“…ETrax software is used for dynamic load flow simulations to obtain an accurate estimation of the energy recovery captured in the system in each operation mode by incorporating train headway interval variations, algorithm and the effects of train schedules on the operating mode.…”
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11
An improvement of back propagation algorithm using halley third order optimisation method for classification problems
Published 2020“…The variations of second order optimisation methods have been proposed which provide less iteration of convergence. …”
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12
Design and development of fanger model and fuzzy logic based controller for air conditioners
Published 2019“…In this study, the physical parameters of Fanger’s model and Predicted Mean Vote (PMV) are used to design an innovative air conditioner controller, which is adaptively controlled by fuzzy logic to drive both fan and cooler speed by taking consideration of cooling effect of air flow variation. …”
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Control of grain drying process using self-tuning quantitative feedback theory
Published 2011“…However, the performance of QFT-based controller deteriorated when the parameters variation exceeded the defined uncertainty range. …”
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15
A fuzzy multi-objective optimisation model of risk-based gas detector placement methodology for explosion protection in oil and gas facilities
Published 2022“…Additionally, a sensitivity analysis was performed to determine the proposed model's response to parameter variations. © 2022 The Institution of Chemical Engineers…”
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Numerical investigation of the performance of interior permanent magnet synchronous motor drive / Shahida Pervin
Published 2014“…Recently, researchers developed FW control algorithms but often ignored the high precision computation of the algorithm. …”
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17
Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation
Published 2004“…Since the position of the rotor flux vector is estimated in an IRFOC scheme, and is dependent on the motor model (more specifically the rotor parameters), these parameters must be obtained accurately and match the motor parameters at all times. …”
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18
Design of Artificial Neural Network (ANN) based rotor speed estimator for DC drives / Siti Mutrikah Abd Mokhsin
Published 2002“…The NN speed estimator provides an accurate speed information in either different operations from those that have been trained or in parameters variation cases. The proposed solutions seem to be attractive to the traditional speed estimator, resulting in a mechanically simpler motor and consequently increasing the degree of reliability for the whole drive systems.…”
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Faulty sensor detection using data correlation of multivariant sensor reading in smart agriculture with IOT
Published 2019“…This method will be applied to the smart agriculture which uses multi-variate sensors such as moisture sensor, temperature sensor and water sensor in IoT. …”
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20
Video Surveillance Image Enhancement Using Deep Learning
Published 2019“…In conventional image enhancement, each approach could only solve one problem at a time and the parameters need to be changed for each problem. This would cause difficulty in developing an automated system. …”
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