A5079963272- Chemical Thermodynamics and Molecular Structure
- Process Optimization and Integration
- Electric Power System Optimization
- Carbon Nanotubes in Composites
- Cognitive Radio Networks and Spectrum Sensing
- Phase Equilibria and Thermodynamics
- Ferroelectric and Piezoelectric Materials
- Smart Grid Energy Management
- Blind Source Separation Techniques
- PAPR reduction in OFDM
- Chalcogenide Semiconductor Thin Films
- Microgrid Control and Optimization
- IoT and Edge/Fog Computing
- Bone Tissue Engineering Materials
- Quantum Dots Synthesis And Properties
- Microwave Dielectric Ceramics Synthesis
- Educational Methods and Technology
- Advanced Control Systems Design
- Advanced Clustering Algorithms Research
- Inertial Sensor and Navigation
- Advanced Signal Processing Techniques
- Energy Load and Power Forecasting
- Electrochemical sensors and biosensors
- Brain Tumor Detection and Classification
- Fluid Dynamics and Mixing
Ferdowsi University of Mashhad
2014-2025
Universidade Federal de Alfenas
2008-2019
Babol Noshirvani University of Technology
2019
Sadjad University of Technology
2012
Islamic Azad University, Mashhad
2012
Bu-Ali Sina University
2008
Universidade de São Paulo
2006-2007
Universidade Federal de São Carlos
2007
Abstract There are mainly two most essential problems in power networks, load frequency control and flow management, which grown recently because of growth dimension/complication grids. Present work suggests a controller based on fuzzy systems design is performed supervisory manner over multiagent system aiming to the variation as well generation cost minimization entire grid. The designing processes for low‐frequency (LFC) management mostly separately, results disruption both outputs. This...
The accurate estimations of processes in gas engineering need a high degree accuracy calculations properties. One these properties is density which straightly affected by pressure and temperature. In the present work, Adaptive neuro fuzzy inference system (ANFIS) algorithm joined with Particle Swarm Optimization (PSO) to estimate terms pressure, temperature, molecular weight, critical temperature gas. order training testing ANFIS-PSO total number 1240 experimental data were extracted from...
In the recent years, energy issue is known as one of main entries for economic and social development human. So biomass fuels approaches supplying become attractive topic investigation. The higher heating value (HHV) a key parameter evaluation biomasses; so in present study, novel work was done to predict HHV function ultimate analysis by utilization multi-layer perceptron artificial neural network (MLP-ANN). To this end, total number 78 actual data were extracted from reliable references...
Cu2ZnSn(S1 − xSex)4 (CZT(S, Se)) is emerging as a very credible alternative to CuIn1 xGaxSe2 (CIGS) the absorber layer for thin film solar cells. The former compound has important advantage of using abundant Zn and Sn instead expensive In Ga. A better understanding properties CZT(S, Se) being sought through experimental theoretical means. Thus far, however, little known about fundamental alloys. this work, studies on structural, elastic, electronic optical alloys first-principles...
SUMMARY This paper presents a novel robust hybrid fractional order proportional derivative sliding mode controller (HFOPDSMC) for 2-degree of freedom (2-DOF) robot manipulator based on extended grey wolf optimizer (EGWO). Sliding (SMC) is remarkably against the uncertainties and external disturbances shows valuable properties accuracy. In this paper, new surface (FOSS) defined. Integrating (FOPDC) (FOSMC), HFOPDSMC proposed. The bounded model are considered in dynamics robot, then robustness...
In this work, we proposed a new prediction model-based neural network (NN) and neuro-fuzzy systems. The mentioned model is applied over the solar radiation signal which has been used as clean energy source recently. forecasting consists of two main steps, namely feature selection forecast engine. first step best candidate inputs are selected input next section. advantage engine that there no need for any past information appearances time-series in order to their values. This combined with an...
Chemical exergy values of pure organic compounds are required in order to perform an analysis achieve the optimum conditions. Development reliable predictive tools for standard molar chemical estimation, is great importance. A least squares support vector machine (LSSVM) based group contribution (GC) method proposed prediction compounds. The model trained and evaluated on a comprehensive data base comprising 133 47 substructures employed process development. using different graphical...
Intelligent algorithms have always been used as a global search method in many optimization problems. One of these problems is clustering problem. Clustering kind process which receives set data input and classifies them into several sub-groups. use fuzzy measure, such FCM, obvious advantages over explicit samples. Despite FCM group determination similar method, first the number clusters their centers should be determined optionally there high probability for being trapped local peaks....
Prediction of standard molar chemical exergy value for organic compounds is investigated using a quantitative structure-property relationship (QSPR) model combined with adaptive neuro-fuzzy inference system (ANFIS) strategy. Particle swarm optimization (PSO) method also implemented to determine the optimal ANFIS structure. The proposed uses three constitutional descriptors in development's procedure. QSPR-ANFIS represents great performance prediction values 0.9999, 44548, and 1.49 R2, RMSE,...
This paper investigates the usage of Conventional PID controller, Type-1 and Type-2 fuzzy controller in controlling liquid level three tank control system. All real systems exhibit non-linear nature, thus conventional controllers are not always able to provide good accurate results. Fuzzy logic (FLC) can be used obtain more precise In this a model for simulation is designed all assumptions made before development model. Analysis done through computer using Matlab/Simulink toolbox. Moreover,...
The goal of this paper is to propose a novel diffusion adaptive algorithm for estimation sparse system with non- Gaussian noise. proposed uses zero-norm regularization accelerating the speed convergence in conditions and it maximum correntropy criterion (MCC) access lower steady-state error presence non-Gaussian In order reach more reduction both transient error, strategy also employed where each local filter solves its own optimization problem then diffuses information neighbors....
Power substations automation plays a significant role in power network stability because it increases the validity and quality of substation operation decreases error probability. Monitoring visibility development has increased level decision finally reliability system stability. Nowadays EEC61850 protocol is newest most proper tool to perform powerhouses. This article presents methods make software program use this native system.