The measurement data in real-time in power systems are very important to protection and control. The phasor measurement unit (PMU) is the common tool to obtain information on wide areas. This paper proposes a Legendre- Luenberger-Observer (LLO), that is obtained with a model development with...

This paper deals with parameter estimation problem of large-scale systems. A new Recursive Distributed Parameter Estimation Algorithm (RDPEA), based on the minimization of the prediction estimation error method, is developed. Specifically, we consider the class of large-scale systems that is...

In this paper, a control function approach is developed to deal with endogeneity issue in estimating panel data models with ordered response. This methodology is characterized by a two-step procedure, requiring only standard regression to be implemented in each step. To demonstrate the...

Vaccine effectiveness for COVID-19 is typically estimated for different outcomes that often are hierarchical in severity (e.g. any documented infection, symptomatic infection, hospitalization, death) and which may be subsets of each other. Conditional effectiveness for a more severe outcome...

Accurate agricultural yield prediction is a fundamental tool for sustainable agricultural planning and to ensure food security in regions critically affected by climate change and extreme weather events. Existing regression-based crop yield estimation approaches typically rely on a specific set...

Traditional tests of the white noise hypothesis on the residuals from estimated models can leadto size distortion if some parameters are weakly identified. This paper develops a bootstrappedwhite noise test for serial correlation that is robust to weak identification in the parameters. Weshow...

The identification of gas-liquid flow regimes for co-current upward flow in a vertical pipe is investigated using Polynomial regression (PR) and Linear Discriminant analysis (LDA) on the response from a non-intrusive optical sensor. The average voltage and associated standard deviation can be...

Acoustic source localization in the spherical harmonic domain with reverberation has hitherto not been investigated extensively. When the joint direction-of-arrival (DOA) estimation is treated as a classification task, it needs a lot of different classes and large-scale dataset, which is...

Two parallel Analog-to-Digital Converters (ADC) are the components of 2-Channel TI-ADC (for Time-Interleaved ADC). They are addressed at times nT and is the clock period). ”Timing skews” are biases of these sampling times. They vary slowly, and they have to be estimated and corrected. In...

Synthetic aperture radar (SAR) tomography (TomoSAR) is an appealing tool for the extraction of height information of urban infrastructures. Due to the widespread applications of the MUSIC algorithm in source localization, it is a suitable solution in TomoSAR when multiple snapshots (looks) are...