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Year: 2015, Volume: 15, Number: 3
... is suitable performance the uncertain input data for the CT model were to use Monte Carlo (MC) method ... €“ remanent flux, † 0 €“ initial phase, Models for simulation of internal transformer faults can € ... ]. Here, the remanent flux pattern has been modeled as {Ψ 0, -Ψ 0, 0 ...
282. PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller
Year: 2011, Volume: 11, Number: 4
... network structure and the connection weights arising among such as modeling mistakes of system, changes in the these neurons ... ], PID Neural Network training algorithm on the speed model of [3]. Different intelligent approaches have ... characteristics of PID Neural Network controller for single have mathematical models of such systems in practice. input and single ...
Year: 2020, Volume: 20, Number: 2
... management in a specified environment based oneM2M Monitoring Database& Modeling Viewer on its ontology and interoperability is only ensured ... , and further work is required on related lightweight IoT model based on the SSN ontology. The tuples to ... Predicate Predicate observations, actuators, actuations, and service models Object Object (Subject) respectively. The main ...
Year: 2021, Volume: 21, Number: 1
... pupin.rs 1 Abstract €” This paper focus is the mathematical modeling of hardware virtualization relies on the usage of a ... OS, related to the expected behavior. The presented model is hOS) and VMs (virtual machines) ... the similar processing hypervisors and accompanying hOS, and CPU models with time. On the other side, Hyper-V ...
Year: 2014, Volume: 14, Number: 1
... community. SimpleScalar toolsets are built for simulation and architectural modeling [16]. As shown in Figure 2 ... FIFO) and training tool to obtain the trained ANFIS model. The trained least frequently used (LFU) ... that we set provided sufficient gobmk gromacs accurate ANFIS trained models based on our observation. hmmer Milc The total ...
Year: 2010, Volume: 10, Issue: 1
... The quality of the algorithm for the estimate of signal modeling called A Novel Systematic Procedure to fundamental frequency can ... analyzed. The estimation of the fundamental frequency was acoustic model. This model emulates the human perception, performed ... the process of quantization. estimation results of the MP3 modeled speech signal are Further the signal is processed according ...
Year: 2018, Volume: 18, Number: 3
... processors resulted in the change of the code architecture lattice model, multi-relaxation-time (MRT) approximation and large number ... Most Implementation is tested on a one-node cluster equipped programming models that have been created for writing of with four ... uniform lattice, Figure 1. and the fluid is modelled by a 9 36 single particle distribution function. ...
Year: 2012, Volume: 12, Number: 3
... May 2002. [12] Hailiang Mei, "Modeling and performance evaluation of a BPPM The position of ... window length or weighted energy An appropriate ultra-wideband multipath channel model detection over multiple integration windows. such as IEEE ... this final values, we can be observe propagation channel models, and non-coherent energy-based that single-integrator demodulator receives the ...
Year: 2011, Volume: 11, Number: 1
... . Khan, and M. Akmal, "Mathematical Modeling of Current 1998, pp. 700-705. Harmonics ... and an attenuation factor (AF) and corresponding mathematical model has been I. INTRODUCTION proposed [10] ... and NPCS. CAPACITOR SIZE (VALUES OBTAINED BY THE MODELS) C1 [µF] NPCS (4) ...
Year: 2010, Volume: 10, Issue: 4
... system represented by an uncertain model", Systems Analysis Modeling Simulation, Vol. 42, No. 7 ... regarded as boundary level and switching over II. VECTOR-MATRIX MODEL OF THE OBJECT of zones is carried out automatically ... is carried out through the armature voltage some computer simulation models have been developed, while the field current I ...
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