A5070484360- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Wireless Body Area Networks
- Adaptive Control of Nonlinear Systems
- Hydraulic and Pneumatic Systems
- Machine Fault Diagnosis Techniques
- Refrigeration and Air Conditioning Technologies
- Microgrid Control and Optimization
- Control Systems and Identification
- Probabilistic and Robust Engineering Design
- Building Energy and Comfort Optimization
- Guidance and Control Systems
- Energy Harvesting in Wireless Networks
- Power System Optimization and Stability
- Dynamics and Control of Mechanical Systems
- Energy Load and Power Forecasting
- Tribology and Lubrication Engineering
- Microwave Imaging and Scattering Analysis
- Extremum Seeking Control Systems
- Smart Grid Security and Resilience
- Distributed Control Multi-Agent Systems
- Neural Networks and Applications
- Microwave and Dielectric Measurement Techniques
- Adaptive Dynamic Programming Control
- Frequency Control in Power Systems
Sharif University of Technology
2008-2024
University of Southern Denmark
2014-2024
Islamic Azad University Central Tehran Branch
2024
Tarbiat Modares University
2023
Shahid Beheshti University of Medical Sciences
2022
Malek Ashtar University of Technology
2022
Maersk (Denmark)
2014-2017
Shahid Beheshti University
2014-2015
Small-scale vapour-compression systems for refrigeration, air conditioning, and heat pump (RACHP) applications guarantee several essential human needs. The global energy environmental policies have compelled these solutions to take a new sustainable growth path, i.e., the adoption of low warming potential (GWP) refrigerants. working fluids with GWP below 150 as substitutions in across six main been exhaustively reviewed, focus is given aspects system performance, impacts, operating...
The aim of this study was to develop a machine learning-based model classify bowel cleansing quality and test in comparison pixel analysis assessments by four colon capsule endoscopy (CCE) readers. A with cleanliness classes (unacceptable, poor, fair good) were developed CCE videos. Cleansing readers 41 videos from previous compared the results both models yielded pilot study. classified 47 % agreement averaged classification readers, as 32 model. difference more than one class detected 12...
In this paper, a new interaction prediction approach for hierarchical control of non-linear large-scale systems is presented. The proposed uses gradient-type coordination scheme which robust with respect to the parameters' variation, and also has good convergence rate. classical strategies, can be divided into substitution-type approaches, it not possible improve robustness rate at same time, since by increasing one other decreases. main advantages algorithms in being independent...
Radio frequency tracking of medical micro-robots in minimally invasive medicine is usually investigated upon the assumption that human body a homogeneous propagation medium. In this Letter, authors conducted various trial programs to measure and model effective complex permittivity ε terms refraction ε', absorption ε″ their variations gastrointestinal (GI) tract organs (i.e. oesophagus, stomach, small intestine large intestine) porcine abdominal wall under vivo situ conditions. They further...
Increasing trend in the number of vehicles and consequently intensifying traffic volume, lights optimum timing plays a vital role congestion mitigation critical intersections urban areas. This paper gives an insight into light using simulation modeling methods. In fact, this study aims at minimizing average time that entities (vehicles) spend system (intersection). First, real data including arrive leave times, spent waiting red etc. is collected through monitoring intersection downtown...
Abstracting turbine states and predicting the transition into failure ahead of time is important in operation maintenance wind turbines. This study presents a method to monitor state transitions based on online inference residuals. In Bayesian framework, are hidden variable relevant for predictor, namely information current state. Given an underlying predictive model student's t-distribution samples conditional prior transition, it shown that can be abstracted from generated data. Two models...
Advances in micro robots non-invasive medicine have enabled physicians to perform diagnostic and therapeutic procedures with higher resolution lower risk than before.However, navigation precise localisation of such inside human body still remains a challenge.This is mostly due the 1) lack communication channel models, 2) inhomogeneity propagation medium 3) non-geometric boundaries tissues morphometric parameters.In this study, we derive novel intra-body path loss models for wave wireless...
In this study, we propose a method to monitor state transitions for wind turbines based on the online inference model residuals. Slowly developing faults in turbine can, when not detected and fixed time, cause severe damage downtime. Early transition detection attempts reduce risk of sever downtime by recognizing changes data adapted predictive models appropriately. As fault studies often deal with hard thresholds, Bayesian analysis comes advantage probability measures. We approach hidden...
In this paper, a novel computational algorithm is proposed for hierarchical optimal control of nonlinear systems. The uses new coordination strategy based on the gradient errors. This type extremely reduces number iterations required obtaining overall solution. performance and convergence rate approach, in compare to classical gradient-type interaction prediction shown through simulations benchmark continuous stirred tank reactor (CSTR) problem.