in this paper, an adaptive neuro fuzzy inference system (anfis) based control is proposed for the tracking of a micro-electro mechanical systems (mems) gyroscope sensor. the anfis is used to train parameters of the controller for tracking a desired trajectory. numerical simulations for a mems gyroscope are looked into to check the effectiveness of the anfis control scheme. it proves that the sy...

Sensitive and accurate cell tracking system is important to cell motility studies. Recently, researchers have developed several methods for detecting and tracking the living cells. To improve the living cells tracking systems performance and accuracy, we focused on developing a novel technique for image processing. The algorithm we propose presents novel image segmentation and tracking system t...

Tracking-by-detection methods are prevailing in many tracking scenarios. One attractive property is that in the absence of additional constraints they can be solved optimally in polynomial time, e.g. by min-cost flow solvers. But when potentially dividing targets need to be tracked – as is the case for biological tasks like cell tracking – finding the solution to a global tracking-by-detection ...

The aim of this paper is to introduce a comparison between cell tracking using active shape model (ASM) and active appearance model (AAM) algorithms, to compare the cells tracking quality between the two methods to track the mobility of the living cells. Where sensitive and accurate cell tracking system is essential to cell motility studies. The active shape model (ASM) and active appearance mo...

Understanding single and collective cell motility in model environments is foundational to many current research efforts in biology and bioengineering. To elucidate subtle differences in cell behaviour despite cell-to-cell variability, we introduce an algorithm for tracking large numbers of cells for long time periods and present a set of physics-based metrics that quantify differences in cell ...

State-of-the-art multi-object tracking~(MOT) methods follow the tracking-by-detection paradigm, where object trajectories are obtained by associating per-frame outputs of detectors. In crowded scenes, however, detectors often fail to obtain accurate detections due heavy occlusions and high crowd density. this paper, we propose a new MOT tracking-by-counting, tailored for scenes. Using density m...

Maximum Power Point (MPP) tracker has an important role in the performance of fuel cell (FC) systems improvement. Tow parameters which have effect on the Fuel cell output power are temperature and membrane water. So contents make the MPP change by with variations in each parameter. In this paper, a new maximum power point tracking (MPPT) method for Proton Exchange Membrane (PEM) fuel cell is pr...

One of the main problems in wind energy conversion system (WECS) is how to achieve maxim­u­m output power in different wind speeds. Maximum methods for maximum power point tracking in wind energy conversion syst­e­ms require the knowledge of system characteristics and mechanic sensors. So, using these methods practically will follow with high price and an abundant difficulties. In this pape...

background: stem cell therapy in small animal medicineis still in its infancy and few in vitro and in vivo research projectsregarding animal mesenchymal stem cells (mscs) have beencarried out. on the other hand, cell tracking is the first step of thecell-based therapies and is essential to recognize cell fate posttransplantation. objectives: the aim of this study was toisolate, characterize, an...