Search Results - (( using function based algorithm ) OR ( loading identification _ algorithm ))
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Development of multi-objective load shedding optimization via back tracking search algorithm with novel reactive power tracing index
Published 2023“…Electric power plant loads; Learning algorithms; MATLAB; Multiobjective optimization; Optimization; Reactive power; Back tracking; Backtracking search algorithms; Identification method; Load-shedding; Multi-objective functions; Power flow simulation; System contingencies; Under voltage load shedding; Electric load shedding…”
Conference Paper -
2
Bio-signal identification using simple growing RBF-network (OLACA)
Published 2007“…An enhanced online adaptive centre allocation algorithms (or resource allocation network (RAN)) using simple/stochastic back-propagation method with minimal weight update variant are developed for direct-link radial basis function (DRBF) networks. …”
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Optimization of supply chain management by simulation based RFID with XBEE Network
Published 2015“…It is an advanced Auto-ID wireless network based configuration system used for identification and tracking of items movement data. …”
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4
Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi
Published 2015“…It is performed using neural network Auto Regressive with exogenous (NNARX) model based on the input/ output experimental data. …”
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5
A security payment model for financial payment using mykad
Published 2011“…However, if attack or intrusion is detected in less than 30 minutes, ARSA will automatically change the security algorithm to a new one. The evaluation of the MPM performance is measured with HP LoadRunner testing tools from which it is found that the response time of MPM with multithreading is better compared to the single thread model and credit card authorisation system. …”
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6
Fault classification in smart distribution network using support vector machine
Published 2023“…Gaussian radial basis function (RBF) kernel function has been used for training of SVM to accomplish the most optimized classifier. …”
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New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz
Published 2014“…VSCI was used as the indicator for the MLP of load buses. Another new hybrid algorithm that used Evolutionary Programming (EP) termed as Evolutionary Support Vector Machine (ESVM) was also developed for comparative study. …”
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Evolutionary Programming (EP) based technique for secure point identification with load shedding technique in power transmission / Abdul Rahman Minhat
Published 2008“…Consequently, another algorithm for maximum loadability identification using EP optimization technique was also developed. …”
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Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus
Published 2003“…Voltage stability problems have been one of the major concerns for electric utilities as a result of a system heavy loading. This project proposed on an investigation on the voltage stability margin identification using evolution programming learning algorithm. …”
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10
Pid-aco vibration controller with magnetorheological damper for wind turbine tower / Mahmudur Rahman
Published 2019“…Next, PID control parameters are optimized with ACO method based on the vibration displacement as objective function to achieve the optimal damping force which is used to encounter vibrations under different excitation frequencies and loading conditions. …”
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Hybrid intelligent methods for parameter identification and load frequency control in power system
Published 2014“…Where, in the first part, the coherent identification algorithm for single and multi-area power systems with disturbances is proposed. …”
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13
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The BOGS-BAT algorithm is based on three techniques. The first technique is to move or switch solution from single function to functions that contain more than one objective functions. …”
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14
High impedance fault detection and identification based on pattern recognition of phase displacement computation
Published 2018“…Subsequently, an automatic HIF classification algorithm based on predefined indices is proposed to perform event identification and HIF detection. …”
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Article -
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A block cipher based on genetic algorithm
Published 2016“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
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16
FaaSBid: an auction-based model for Function as a Service in edge-fog environments using unallocated resources
Published 2026“…To initialise function placement, Fitness-Based Swap (FBSW) algorithm is proposed which places functions based on pre-defined information such as function size, function maximum execution time, and storage cost. …”
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Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi
Published 2018“…The fuel cells will however need to work at different operating points because of the dynamic load characteristic where current is drawn instantaneously from the load source connected to the fuel cell stack during transient conditions. …”
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Book Section -
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CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…Precise short term load forecast (STLF) is vitally important for the secure and reliable operation of power systems. …”
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19
Computation of cryptosystem based on Lucas functions using addition chain
Published 2010“…Cryptosystem based on Lucas Functions is known as LUC Cryptosystem. …”
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Conference or Workshop Item -
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An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…Hence, this study proposes an Improved Fast Scanning algorithm that is based on Sorensen distance measure and adaptive threshold function. …”
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