Nasal cytology is a very useful diagnostic tool in nasal disorders, being able to detect both the cellular modifications of the nasal epithelium caused by either allergen exposure or irritative stimuli (that may be physical or chemical, acute or chronic), or inflammation. Over these past few years, nasal cytology has allowed to identify new disorders, such as the non-allergic rhinitis with eosi...

UWB systems are continuously affected by narrow band interference (NBI) emanating from traditional sources for which its mitigation continues to be a challenging issue. This is more so if the channels are considered to be non-linear which in reality is the actual scenario. NBI suppression is an essential element for achieving appropriate quality of service (QoS) and ensuring link reliability. H...

Nasal cytology is a very useful diagnostic tool in nasal disorders, being able to detect both the cellular modifications of the nasal epithelium caused by either allergen exposure or irritative stimuli (that may be physical or chemical, acute or chronic), or inflammation. Over these past few years, nasal cytology has allowed to identify new disorders, such as the non-allergic rhinitis with eosi...

The best configuration for generating electricity energy form a variable-speed wind energy conversion system (WECS) is using double-output induction generator (DOIG). Controlling this system in order to optimum performance on maximum extracting power from wind in each speed were attracted the attention of many researchers. This kind of generators use a rectifier and inverter know as static Kram...

In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two configuration serial-parallel model & parallel model to ensure that model output is equal to actual out...

А functional diagram of the skidding prevention system was built, a mathematical model an asynchronous electric drive vehicle and neuro-regulator synthesized. The motor is selected according to equivalent power method, standard urban WLT cycle taken as basic cycle. mechanical part built taking into account possibility simulating slippage each driving wheels separately with different coupling co...

In a network of agents, a widespread problem is the need to estimate a common underlying function starting from locally distributed measurements. Real-world scenarios may not allow the presence of centralized fusion centers, requiring the development of distributed, message-passing implementations of the standard machine learning training algorithms. In this paper, we are concerned with the dis...

Control performance assessment, or CPA, is an increasingly vital tool to quantify the performance of industrial control loops. While most of the research and commercial activity in CPA has been applied to linear systems to date, those researchers investigating nonlinear systems fall into one of two groups. The first group focussed on the diagnosis of a common specific nonlinearity, namely valve...

System identification (SI) is the discipline of inferring mathematical models from unknown dynamic systems using input/output observations such with or without prior knowledge some system parameters. Many valid algorithms are available in literature, including Volterra series expansion, Hammerstein–Wiener models, nonlinear auto-regressive moving average model exogenous inputs (NARMAX) and its d...