The industrial use of additive manufacturing continues to rapidly increase as new technology developments become available. Arburg plastic freeforming (APF) process is designed utilize standard polymeric granules in order print parts with properties similar those molded parts. Despite the emerging importance APF, current body knowledge regarding this still very limited, especially field biodegr...

The Borderline Current Mode (BCM) Active Power Factor Controller (APFC) developed in this study applies a capacitor to emulate the inductor of the power stage and hence the capacitor voltage replicates continuously the inductor current. By this, the instantaneous current of the inductor is available to the controller circuitry without actually measuring it at any given instance. The emulating n...

When harvesting grain crops on large farms, a combine collects the while cart transports by commuting between and semi-trailer parked roadside. There are several issues associated with human-operated carts: labor shortage increasing cost, operational imprecision inefficiency as well safety hazards, all of which can potentially be addressed if carts were autonomous. This paper presents motion pl...

Computer Assisted Language Learning Systems have gained a lot of attention in recent decades. Mispronunciation detection is probably the most important feature of these systems. It helps user to find out their pronunciation mistakes and provide useful feedback related to that mistake. Mispronunciation detection systems can be categorized in two classes; Posterior Probability based and Classifie...

This paper presents a hybrid active power filter for a three phase four wire distribution system. The scheme consists of a zigzag transformer, single phase active power filter connected in series with the utility neutral and a coupling capacitor connected in series with a voltage source converter of the active power filter (APF). The addition of coupling capacitor permits the reduction in DC li...

Online joint parameter and state estimation is a core problem for temporal models. Most existing methods are either restricted to a particular class of models (e.g., the Storvik filter) or computationally expensive (e.g., particle MCMC). We propose a novel nearly-black-box algorithm, the Assumed Parameter Filter (APF), a hybrid of particle filtering for state variables and assumed density filte...

Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse, from a non asymptotical point of view, the Sampling Importance Resampling (SIR) PF with optimal conditional importance distribution (CID) and the fully adapted APF (FA). We compute the (finite samples) conditional second order moments of Mon...

Artificial Neural Networks (ANNs) have demonstrated very interesting properties in adaptive identification schemes and control laws. In this work, they are employed for the on-line control strategy of an Active Power Filter (APF) in order to improve its performance. Indeed, neural-based approaches are synthesized to design adaptive and efficient harmonic identification schemes. The proposed neu...

The Self Excited Induction Generator (SEIG) is an isolated power source, whose terminal voltage and frequency are controlled by the excitation of capacitance or the load impedance. A new strategy based on an active power filter (APF) for controlling the current and power quality of the self-excited induction generator (SEIG) is also presented in this paper. The proposed active filter proved to ...