RGB-topography and X-rays image registration for idiopathic scoliosis children patient follow-up

Multimedia Tools and Applications - Children diagnosed with a scoliosis pathology are exposed during their follow up to ionic radiations in each X-rays diagnosis. This exposure can have negative...     

Conventional and non conventional body motions modelling and control. Application to the handwriting process

The handwriting process is one of the most important and complex activities of the human body. In recent years, modelling and analyzing and controlling it have received great attention leading to large important motion studies results. This paper attempts to present an overview of recent works about our proposed approaches and other ones to model and control this process. Hence, an overall model of the handwriting process has been proposed and developed by the co‐authors, showing the interest of using the soft computing concepts, namely neural networks and fuzzy logic. The design of this model requires several undertaken steps. Starting from an experimental approach to acquire electromyographic signals and writing positions, different conventional and non conventional models have been proposed. Besides some control strategies have been considered in particular neural and fuzzy approaches in addition to non conventional neural and neuro‐fuzzy Internal Model Control strategy. The proposed global model, inspired from the biological structure system, has been designed and validated through simulation results.     

Oxygen and Carbon Distribution in 80Kg Multicrystalline Silicon Ingot

Silicon - Multicrystalline silicon (mc-Si) wafers produced by directional solidification still dominate the world market, due to the factor quality/price. The performance of solar cell depends...     

Investigation of a Ferrite/Silicon Nitride Composite Concept Aimed at Automotive Applications

This paper presents the investigation of the behavior of a Fe–1.5 wt% Si thin sheet upon plasma‐assisted nitriding at 570°C. It had been confirmed that a very fine and intense precipitation of amorphous silicon nitride occurs as nitrogen diffuses into the sheet. The precipitates, the size of which is comprised between several and several tens of nanometer, display a cubic morphology in spite of their amorphous structure. These cubes adopt a particular morphology in relation to the matrix with their faces parallel to the {100} plane family. These precipitates cause a notable hardening of the alloy and it was possible to harden a 1 mm sheet across its whole thickness in under 8 h.     

A Comparative Study of Various Methods of Bearing Faults Diagnosis Using the Case Western Reserve University Data

Bearing is probably one of the most critical components of rotating machinery. They are employed to guide and support the shafts in rotating machinery. Therefore, any fault in the bearings can lead to losses on the level of production and equipments as well as potentially unsafe. For these reasons, the bearing fault diagnosis has received considerable attention from the research and engineering communities in recent years. The purpose of this study is to review the vibration analysis techniques and to explore their capabilities, advantages, and disadvantage in monitoring rolling element bearings.     

Preparation of dendrimer polyol/mesoporous silica nanocomposite for reversible CO2 adsorption: Effect of pore size and polyol content

This paper focuses on the synthesis of polyol/MCM-48 nanocomposite materials with different percentages of polyalcohol dendrimer H20. The obtained materials were used for CO₂ adsorption. CO₂-TPD analysis showed that the samples containing 1 and 3 wt% of H20 dendrimer have low CO₂ adsorption capacity due to the occupation of active sites, The sample prepared with 0.5 wt% of H20 dendrimer exhibited higher adsorption capacity and thermal stability. The affinity toward CO₂ was found to be mainly due to the presence of organic moiety within the MCM-48 pores.     

A lightweight efficient chaos‐based cryptosystem for constrained‐node networks

Interconnected sensor and actuator objects creating Constrained‐Node Networks (CNN) are among the most prominent technologies of the Internet of things. Deployed to monitor our lives, surroundings, and critical infrastructure, CNN communications must be strongly secured in order to prevent devastating unauthorized access to critical information. This, however, faces severe challenges imposed by CNN constraints in terms of energy, memory, and computational power. To address such conflicting requirements, this paper presents a chaos‐based efficient lightweight secure communication system for CNNs. The proposed cryptosystem performs optimized confusion‐diffusion operations at the byte level allowing it to be fully implemented on an 8‐bit microcontroller. Obtained results from extensive experiments at both statistical and implementation levels confirm the robustness of the proposed cryptosystem against a multitude of attacks. Additionally, the evaluated encryption/decryption speeds along with the low memory and energy consumption grant the proposed cryptosystem attractive lightweight aspects enabling its deployment in very constrained CNN applications having soft real‐time requirements.     

X-ray photoelectron spectroscopy (XPS) and FTIR studies of vanadium barium phosphate glasses

Barium vanadophosphate glasses, having composition 50BaO–xV₂O₅–(50 − x)P₂O₅, (x = 0–50 mol%), were prepared by conventional melt quench method. Density, molar volume and glass transition temperature (T_g) were measured as a function of V₂O₅ content. Structural investigation was done using XPS and FTIR spectroscopy. First, substitution of the P₂O₅ by the V₂O₅ in the metaphosphate 50BaO–50P₂O₅ glass increases the density and T_g and decreases the molar volume. When the amount of V₂O₅ increases, all these properties show a reverse trend. XPS measurement found in the O1s, P2p, and V2p core level spectra indicate the presence of primarily P–O–P, P–O–V and V–O–V structural bonds, the asymmetry in the P 2p spectra indeed arises from the spin-orbit splitting of P 2p core level, and more than one valence state of V ions being present. IR spectroscopy reveals the depolymerization of the phosphate glass network by systematic conversion of metaphosphate chains into pyrophosphate groups and then orthophosphate groups. Even though metaphosphate to pyrophosphate conversion is taking place due to breaking of P–O–P linkages, formation of P–O–V and P–O–Ba linkages provide cross linking between short P-structural units, which make the glass network more rigid. Above 10–20 mol% V₂O₅ content, network is highly depolymerized due to the formation of orthophosphate units and V–O–V bridge bonds, resulting in poor cross-linking, making the glass network less rigid.     

Multimodal 2d + 3d multi-descriptor tensor for face verification

Multimedia Tools and Applications - In the last few years, there is a growing interest in multilinear subspace learning for dimensionality reduction of multidimensional data. In this paper, we...