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Palmprint recognition is a very interesting and promising area of research. Much work has already been done in this area, but much more needs to be done to make the systems more efficient. In this paper, a multimodal biometrics system based on fusion of left and right palmprints of a person is proposed to overcome limitations of unimodal systems.

Features are extracted using some proposed multi-block local descriptors in addition to MBLBP. Fusion of extracted features is done at feature level by a simple concatenation of feature vectors. Then, feature selection is performed on the resulting global feature vector using evolutionary algorithms such as genetic algorithms and backtracking search algorithm for a comparison purpose. The benefits of such step selecting the relevant features are known in the literature, such as increasing the recognition accuracy and reducing the feature set size, which results in runtime saving. In matching step, Chi-square similarity measure is used.

The resulting feature vector length representing a person is compact and the runtime is reduced.

Intensive experiments were done on the publicly available IITD database. Experimental results show a recognition accuracy of 99.17 which prove the effectiveness and robustness of the proposed multimodal biometrics system than other unimodal and multimodal biometrics systems.

The purpose of this paper is to study the effectiveness of the risk management system in the European context, especially with regard to the risk management committee, the uncertainty of the environment and company performance. In summary, it evaluates European companies listed on the stock exchange in France, Germany and the United Kingdom to determine how risk management systems influence financial companies' performance.

To study the effectiveness of risk management systems and their influence on performance, the large companies selected in our sample are fairly representative of the European market, according to the Dutch indices of each country (SBF 120 in France, HDAX 110 in Germany and FTSE 100 in United Kingdom).The empirical evidence is based on an international quantitative analysis, using a data set involving 320 companies listed on the stock exchange over a ten-year period from 2005 to 2014.

The results indicate that the establishment of a risk management and control system by a company positively influences its management, and its performance level and value creation also improve. The results of this study demonstrate a significant strengthening of the role of the risk management committee in the three countries. The surveillance function is reinforced, and in particular, the internal control system is accentuated.

This study has some limitations that can form leads for future research. One of these limitations is the sample size. The authors have represented the European context by three countries that certainly constitute great European powers, but have regulations different from other countries. The company size is also a possible research element. Indeed, risk management system varies between large, small and medium-sized enterprises, so it is important to study each type of company well.

This study identifies the risk management committee as a mechanism of control that is highly important in the company, and it proposes an international framework that comparatively and empirically evaluates how the risk management system used in large European companies can improve their financial performance.

The purpose of this paper is to assess the vulnerability of the aquifer using two models of analysis (DRASTIC and GOD) that were applied in practice in the regions of Bir Chouhada, Souk Naamane and Ouled Zouai in the district of Oum El-Bouaghi.

This study aims to determine the most adequate methods to ensure the protection of the Bir Chouhada, Souk Naamane and Ouled Zouai aquifer from pollution using vulnerability assessment. The application of the DRASTIC and GOD models made this evaluation possible.

The analysis of the both maps of vulnerability, resulting from the application of the two methods (DRASTIC and GOD), has revealed several classes of vulnerability that are no-, low-, medium- and high-vulnerable area. High DRASTIC vulnerability values vary between 145 and 178, and those of GOD vary between 0.07 and 0.57. It is observed that vulnerability increases from the center toward the eastern part of the plain; this is confirmed by the repartition of nitrate contents. The impact of the hydraulic conductivity on vulnerability to pollution is more significant than those of the vadose zone and the aquifer media. This is well observed when considering the single-parameter sensitivity analysis.

The text deepens the understanding of the vulnerability assessment and quality of the aquifer and the groundwater. The present study can be used for the assessment and the management of groundwater.

Ascorbic acid, a water-soluble antioxidant, is an essential component of the human diet and is known for its potent antioxidant properties against several diseases. In recent years, there has been increasing interest in the development of nonenzymatic sensors due to their simplicity, efficiency and excellent selectivity. The aim of this study is to present a selective and sensitive method for the detection of ascorbic acid in aqueous system using a new electrochemical non-enzymatic sensor based on a gold nanoparticles Au-NPs-1,3-di(4-bromophényl)-5-tert-butyl-1,3,5-triazinane (DBTTA) composite.

Using the square wave voltammetry (SWV) technique, a series of Au-NPs-DBTTA composites were successfully developed and investigated. First, DBTTA was synthesized via the condensation of tert-butylamine and a4-bromoaniline. The structure obtained was identified by IR, 1H NMR and 13C NMR analysis. A glassy carbon electrode (GCE) was modified with 10–1 M DBTTA dissolved in an aqueous solution by cyclic voltammetry in the potential range of 1–1.4 V. Au-NPs were then deposited on the DBTTA/GCE by a chronoamperometric technique. SWV was used to study the electrochemical behavior of the modified electrode (DBTTA/Au-NPs/GCEs). To observe the effect of nanoparticles, ascorbic acid in a buffer solution was analyzed by SWV at the modified electrode with and without gold nanoparticles (Au-NPs).

The DBTTA/Au-NPs/GCE showed better electroanalytical results. The detection limit of 10–5 M was obtained and the electrode was proportional to the logarithm of the AA concentration in the range of 5 × 10⁻³ M to 1 × 10⁻¹ with very good correlation parameters.

It was also found that the elaborated sensor exhibited reproducibility and excellent selectivity against interfering molecules such as uric acid, aspartic acid and glucose. The proposed sensor was tested for the recognition of AA in orange, and satisfactory results were obtained.

This paper aims to predict the localized corrosion resistance by the application of artificial neural networks. It emphasizes the importance to take into account the relationships between the physical parameters before presenting them to the network.

The work was conducted in two phases. At the beginning, the authors executed an experimental program to measure pitting corrosion resistance of carbon steel in an aqueous environment. More than 900 electrochemical experiments were conducted in chemical solutions containing different concentrations of pitting agents, corrosion inhibitors and oxidant reagents. The obtained results were collected in a table where for a combination of the experimental parameters corresponds a pitting potential Epit obtained from the corresponding electrochemical experiment. In the second step, the authors used the experimental data to train different artificial neuron networks for predicting pitting potentials.

In this step, the authors considered the relationships that the chemical parameters are likely to have between them. Two types of relationships were taken into account: chemical equilibria which are controlled by the pH and the synergistic relationships that some corrosion inhibitors may have when they are in the presence of a chemical oxidant.

This comparative study shows that adjusting the input data by considering the physical relationships between them allows a better prediction of the pitting potential. The quality of the prediction, quantified by a regression factor, is qualitatively confirmed by a statistical distribution of the gap between experimental and calculated pitting potentials.

In particular, this paper aims to systematically analyze a few prominent wireless sensor network (WSN) clustering routing protocols and compare these different approaches according to the taxonomy and several significant metrics.

In this paper, the authors have summarized recent research results on data routing in sensor networks and classified the approaches into four main categories, namely, data-centric, hierarchical, location-based and quality of service (QoS)-aware, and the authors have discussed the effect of node placement strategies on the operation and performance of WSNs.

Performance-controlled planned networks, where placement and routing must be intertwined and everything from delays to throughput to energy requirements is well-defined and relevant, is an interesting subject of current and future research. Real-time, deadline guarantees and their relationship with routing, mac-layer, duty-cycles and other protocol stack issues are interesting issues that would benefit from further research.

This study describes the applicability of the a priori estimate method on a nonlocal nonlinear fractional differential equation for which the weak solution's existence and uniqueness are proved. The authors divide the proof into two sections for the linear associated problem; the authors derive the a priori bound and demonstrate the operator range density that is generated. The authors solve the nonlinear problem by introducing an iterative process depending on the preceding results.

The functional analysis method is the a priori estimate method or energy inequality method.

The results show the efficiency of a priori estimate method in the case of time-fractional order differential equations with nonlocal conditions. Our results also illustrate the existence and uniqueness of the continuous dependence of solutions on fractional order differential equations with nonlocal conditions.

The authors’ work can be considered a contribution to the development of the functional analysis method that is used to prove well-positioned problems with fractional order.

The authors confirm that this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere.

This research aims to study the materials that compose older reinforced concrete bridges which are damaged and degrading to explain the mechanisms and origins of various disorders. Therefore, this work will contribute to providing answers on the capacity of nondestructive evaluation method during the diagnosis. In addition to the characterization of affected structures, it will aim to provide effective solutions for different serious pathologies.

In this context, two bridges located on NH16 and NH21, respectively, were studied in Annaba city (north-east Algeria), specifically in El-Hadjar municipality located in the central industrial zone of Pont-Bouchet. This study makes it possible to make conclusions from the in-depth diagnosis based on disorders exposition causes and mechanical characteristics evolution by non-destructive testing (NDT) tools. Furthermore, solutions are proposed, including conservation maintenance of these degraded structures.

All degradations can be the result of several factors: either human (poor design) or chemical (surface water, wastewater and groundwater quality (acidic or basic)). In addition to other natural causes (geological formations, flood phenomena or climate), NDT tools play a major role in the evaluating mechanical performance of degraded structures (resistance and hardness).

The NDT techniques can be transmitted to civil engineering experts because their training is limited regarding mechanical and structural construction.

NDT tools are the most suitable for in-situ assessing, and the concrete constructions health state, so far from financial problems.

Degraded bridge diagnosis by NDT testing is necessary for a thorough safety evaluation (mechanical performance, strength and deformability), to protect human lives and design durability.

This is an original paper which contains new information at different scales and from special fields, based on an evaluation using NDT tools on real degraded structures. It can be used to improve the knowledge of materials employed in a bridge without performing expensive direct tests or the need for destroying it.

The ancient settlements of the M'zab Valley in Algeria, called ksour, are still being used by local inhabitants a thousand years after their construction. The main objective of this study was to discover why, despite the formation of new residential areas, these settlements have been able to survive and maintain their original functions.

The authors used the concept of living heritage sites as an analytical framework. The field data were collected through semi-structured interviews and analyzed through qualitative content analysis.

This study revealed that the reasons for the survival of these settlements were cultural and social rather than physical. Four main factors play a role in the survival of these settlements: (1) solidarity and unity among the inhabitants, (2) built environment as an ancestral heritage and a symbol of identity, (3) comfort and convenience in ksour and (4) social control and adherence to tradition. However, some concerns have arisen in recent decades that may endanger the viability of these settlements in the future, requiring more attention from the government.

While previous studies on urban heritage and World Heritage Sites (WHSs) have mainly focused on tourism development and conservation issues, this paper emphasized a less-studied aspect of these sites, i.e. continuity and sustainability. All previous studies on the WHSs of the M'zab Valley have addressed the traditional architecture and the climatic design of houses without sufficiently addressing other factors that have contributed to the sustainability and resilience of these settlements.

The study aimed at identifying the degree of professional competence of faculty members from the students’ perspective at Kuwait and Palestine Technical University Kadoorie, and identifying the effect of the variables of gender and academic year.

The researchers developed a 24-item questionnaire and administered it to 115 students each from Kuwait (male: 57, female: 58) and Palestine Technical University Kadoorie (male: 21, female: 94). The study used a descriptive approach to analyze the collected data.

According to the students' perspective, the average professional competence of faculty members at Kuwait University is 2.74 for the teaching competencies, 2.29 for the technology competencies, 2.65 for the evaluation competencies and 2.71 for the human competencies. Similarly, at Palestine Technical University Kadoorie, the mean of the professional competencies of faculty members from the students' perspective is 2.31 for the teaching competencies, 1.96 for the technology competencies, 2.24 for the evaluation competencies and 2.34 for the human competencies. There were significant differences in the degree of professional competence at Kuwait and Palestine Technical University Kadoorie due to the gender of all domains in favor of females. There were significant differences in the degree of professional competence in Kuwait due to the academic year of the technology domain between the first year and second year, in favor of the second year. There were significant differences due to the variable of the academic year of the human domain between the first year and the third year, in favor of the third year. There were significant differences in the degree of professional competence at Palestine Technical University Kadoorie due to the academic year of the technology domain (second, third, fourth year and more) and second year, in favor of (the second year). There were significant differences due to the academic year of the human domain between the first and second year, in favor of second year.

The authors hope that their findings will inspire further research in this area and help universities to better support their faculty members and improve student outcomes.