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In this study, a negative substrate bias voltage is used to tune the structural, morphological, mechanical and electrochemical properties of TiAlN coatings fundamental for protective coating applications. TiAlN thin films have been deposited on glass, (001)Si and stainless steel substrates by RF magnetron sputtering at a power density of 4.41 W/cm2. The deposition rate was determined from X-ray reflectivity measurements to 7.00 ± 0.05 nm/min. TiAlN films used in this work were deposited for 60 min to yield a film thickness of 420 nm. Structural analysis has shown that TiAlN coating forms a cubic (fcc) phase with orientations in (111), (200), (220) and (222) planes. The deposited coatings present maximum hardness (H = 37.9 GPa) at −75 V. The dependence of hardness and Young's modulus and corrosion resistance on microstructure has been established. Electrochemical studies by potentiodynamic polarization in aggressive environment (3.5 wt.% NaCl) have revealed that stainless steel substrate with TiAlN coating exhibits excellent corrosion resistance.

As reported by numerous World Health Organization studies, fall incidents are considered one of the leading causes of loss of autonomy, injuries, and even deaths, and this is not only among elderly people but also in other categories such as workers. Fall incidents also have a considerable impact on the budget allocated to the care of people suffering from the effects of falls. This work presents a comprehensive review of state-of-the-art fall detection technologies considering the most powerful machine learning methodologies, both classical formalism (shallow methods), and approaches based on deep learning formalism. The authors reviewed the most recent and effective methods for fall detection and presented the used sensors, cameras, applied pre-treatments, generated attributes, and algorithms used in this field of application. The present work is completed by a discussion presenting some limitations that need to be analyzed and taken into account to further improve the quality of fall detection and reduce their impacts.

Transition metal nitride based hard coatings such as TiN, TiAlN are chemically inert, thermally stable and, therefore, provide good corrosion protection. Deposition of hard coatingson material surface by reactive r.f magnetron sputtering methods features one of the most intensely developed directions of improvement of the working properties of materials. The PVD techniques are widely used now adays for improvement the corrosion resistance. One of the general reasons for depositing by PVD techniques is developing the protective coating presenting corrosion resistance higher than the substrate. titanium-aluminium nitrides were successfully prepared by reactive r. f magnetron sputtering method, on XC48 steel substrates. Optical microscopy (OM) was used to study the structure morphology. potentiodynamic polarisation test and electrochemical impedance spectroscopy (EIS) measurements were conducted in an aerated (3.5% weight) NaCl aqueous solution at room temperature . The results of electrochemical tests indicatedt hat a TiAlN coating showed the best corrosion resistance with the lowest corrosion current density in (3.5% weight) NaCl solution.Finally, it was found that TiAlN coatings increased the corrosion potential and decreased significantly its corrosion current density of the XC48 steel substract in 3.5% NaCl solution at room temperature.