A new fuzzy maximum power point tracker (MPPT) for photovoltaic systems is proposed. Fuzzy controller input parameters dI dP , ) dI dP ( D and variation of duty cycle ( DC D ) are used to generate the optimal MPPT converter duty cycle, such that solar panel maximum power is generated under different operating conditions. A photovoltaic system including a solar panel, a fuzzy MPP tracker and...

CMS silicon Tracker alignment consists of three key components: Survey during tracker construction, measurements with the Laser Alignment System during operation and track based alignment. Methods and results are explained in detail, with a special focus on track based alignment due to its enormous complexity and numerical challenges. Presented at Vertex06 – 15th International Workshop On Verte...

Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. Mean-shift tracker, which gained attention recently, is known for tracking objects in a cluttered environment. In this work, we propose a new method to track objects by combining two well-known trackers...

In this paper, a novel observer-based digital redesign tracker is proposed to resolve the output tracking problem for nonlinear sampled data systems. Acquiring parameters via a hybrid design of EP-based iterative learning control (EP-ILC) and linear quadratic analog tracker (LQAT), the tracker possesses good tracking performance both in transient state response and in steady state response when...

Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. Mean-shift tracker, which gained attention recently, is known for tracking objects in a cluttered environment. In this work, we propose a new method to track objects by combining two well-known trackers...

A user often needs training and guidance while performing several daily life procedures, e.g., cooking, setting up a new appliance, or doing COVID test. Watch-based human activity recognition (HAR) can track users' actions during these procedures. However, out of the box, state-of-the-art HAR struggles from noisy data less-expressive that are part tasks. This paper proposes PrISM-Tracker, proce...