Spatiotemporal evolution of the El Biar landslide (Algiers): new field observation data constrained by ground-penetrating radar investigations

Bulletin of Engineering Geology and the Environment - A better understanding of the spatiotemporal evolution of landslides in urban zones is a key factor in assessing the risk of future slides...     

Morphological and adhesive properties of polypyrrole films synthesized by sonoelectrochemical technique

This paper presents electrochemical synthesis of polypyrrole films under high frequency sonication. The films are characterized in terms of adhesion and surface morphology. Comparison to classical electrosynthesized polypyrrole films is made. In particular, the use of high frequency sonication (500 kHz) during electrodeposition of polypyrrole on Si was reported for the first time. Chronocoulometry was used for polymer films electrosynthesis on Si substrates. Influence of polymer thickness on the rugosity, morphology and adhesion force properties was studied. Scanning Electron Microscopy and mechanical probe profiling showed that sonication led to less rough and more homogeneous surface structure. Adhesion force properties of polypyrrole films were also studied by means of force–distance curves obtained by atomic force microscopy. For polymer films obtained in the absence of sonication, adhesion forces decreases with increase in polymer thickness. On the contrary, for polymer films obtained under sonication, the adhesion of the films decreased when the polymer thickness decreased.     

Effects of polypyrrole modified electrode functionalization on potentiometric pH responses

Two functionalized polypyrrole films, poly(11-N-pyrrolylundecanoic) acid and poly(N-undecylpyrrole), were used as sensitive layers for pH sensors. The functionalized pyrrole monomers were first synthesized before carrying out their electropolymerization onto non-oxidizable electrodes. The deposits were characterized by SEM imaging, XPS and PM-IRRAS to study surface structure and composition. Poly(11-N-pyrrolylundecanoic) acid coating yielded very promising results as sensitive layer in pH sensors. Indeed, the potentiometric responses from pH 4.0 to 9.0 appeared linear, reversible, stable in time over a period of 1 month and highly selective for H⁺ ions. This behavior was attributed to carboxylic acid groups which are sensitive to proton concentration changes. This was confirmed by the fact that poly(N-undecylpyrrole) film led to potentiometric responses being pH dependent only from pH 6.0 to 9.0 with low sensitivity. Poly(11-N-pyrrolylundecanoic) acid is thus promoted to be used as sensitive layer in pH sensors.     

Distortions identification and compensation based on artificial neural networks using symmetrical components of the voltages and the currents

The problem of harmonics identifying and compensating has been of great interest in recent years. A new neural identification scheme for an active power filter (APF) is proposed. This scheme identifies the direct, inverse and zero sequence components of both the voltages and the currents of the power network. The components result from a new and generic decomposition of a three-phase signal which can be either the voltage or the current. For one signal, the direct components extraction requires two independent Adaline networks, and the inverse components extraction two other Adalines. The voltage and current components are used to on-line compute the instantaneous direct, inverse and zero sequence powers. The proposed decomposition is a new formulation of the instantaneous powers and is also appropriate for unbalanced systems. The reference compensation currents can be determined according to different compensation objectives. The resulting compensation currents are then re-injected phase-opposite through the APF in real-time. The performance is evaluated through several simulation examples and through different experiments. The results show that the proposed neural method outperforms other methods, such as the conventional instantaneous power theory.     

Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric

Journal of Intelligent Manufacturing - In order to manufacture products at low cost, machine learning (ML) is increasingly used in production, especially in high wage countries. Therefore, we...     

A novel path protection scheme for MPLS networks using multi-path routing

Multi-protocol label switching (MPLS) is an evolving network technology that is used to provide traffic engineering (TE) and high speed networking. Internet service providers, which support MPLS technology, are increasingly demanded to provide high quality of service (QoS) guarantees. One of the aspects of QoS is fault tolerance. It is defined as the property of a system to continue operating in the event of failure of some of its parts. Fault tolerance techniques are very useful to maintain the survivability of the network by recovering from failure within acceptable delay and minimum packet loss while efficiently utilizing network resources.In this paper, we propose a novel approach for fault tolerance in MPLS networks. Our approach uses a modified (k, n) threshold sharing scheme with multi-path routing. An IP packet entering MPLS network is partitioned into n MPLS packets, which are assigned to node/link disjoint LSPs across the MPLS network. Receiving MPLS packets from k out of n LSPs are sufficient to reconstruct the original IP packet. The approach introduces no packet loss and no recovery delay while requiring reasonable redundant bandwidth. In addition, it can easily handle single and multiple path failures.     

Effect of Alkali Treatment on Alfa Fibers Behavior

The object of this study is to characterize of Algerian Alfa (Esparto grass or Stipa tenacissima L), and also to examine the effect of chemical treatment on different properties of this fiber. The surface of the Alfa vegetable fibers was modified by alkali treatment in 5% (NaOH) aqueous solution for 2, 4, 6, 8, 16, 24, 48, and 72 h. The chemical, physical, and morphological properties of the Alfa fibers were investigated. The results show that the Alfa fibers are composed of 39% cellulose, 33% hemicelluloses, 20% lignin, and certain minerals (e.g., SiO₂, K₂O, and CaO). The alkali treatment of the fibers contributes to a decrease in the rate of moisture absorption and to an increase the crystallinity and stiffness. The processing time for adequate alkali treatment is observed at 6 h.     

Electrodeposition of nanostructured cuprous oxide on various substrates and their electrochemical and photoelectrochemical properties

Journal of Materials Science: Materials in Electronics - Nanostructured Cu2O films have been developed on various conductive substrates (FTO, ITO, and Mo) by a low-cost electrodeposition process...