Photovoltaic (PV) array analytics and control have become necessary for remote solar farms
and for intelligent fault detection and power optimization. The management of a PV array …

A comprehensive literature review of self-balancing robot (SBR) provides an insight to the
strengths and limitations of the available control techniques for different applications. Most of …

The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …

Plant sensor data contain errors that can hamper process analysis and decision-making.
Those dataset are not used to their full potential due to the complexity of their processing …

This paper proposes a Bayesian framework based on particle filters for online fatigue
damage diagnosis and prognosis for wind turbine blades (WTBs). The framework integrates …

Reducing pipe leakage is one of the top priorities for water companies, with many investing
in higher quality sensor coverage to improve flow forecasting and detection of leaks. Most …

Interpreting sensor data in Internet-of-Things applications is a challenging problem
particularly in embedded systems. We consider sensor data analytics where machine …

In order to improve the ultra-wideband (UWB) ranging accuracy, a precise UWB ranging
method is developed using pre-corrected strategy and particle swarm optimization (PSO) …

In sensor network applications, measured data are often meaningful only when the location
is accurately known. In this booklet, we study research problems associated with node …

Monitoring utility-scale solar arrays was shown to minimize cost of maintenance and help
optimize the performance of the array under various conditions. In this paper, we describe …