In Algeria, Opuntia ficus-indica production is important. This seasonal fruit is a characteristic of arid and semiarid regions. Taking into account its high content in antioxidants, it has an excellent nutritional value. The aim of this research is the prickly pear morphological and physicochemical characterization study, which is widely present in the Arris (Batna, Algeria) area. The results of this experimental study are comparative to those of the same species from other world regions. The whole fruit weight is estimated to reach 63.38 g with a juice ratio of 71.42 %, a pH of 5.54, moisture of 89.3 % and a brix of 10.4 %. The quantitative amount of the phenolic compounds of the fruit revealed contents of 45.70 mg GAE / 100 g of MF for total polyphenols.

Un cuiseur solaire boîte à surface réceptrice inclinée (CSBSRI) a été développé et testé à l’Unité de Recherche Appliquée en Énergies Renouvelables, sous les conditions climatiques de Ghardaïa, Algérie. Les performances thermiques du cuiseur sont analysées selon la procédure internationale de Mullick en termes de deux paramètres (F1, F2), le temps d’ébullition est calculé et la courbe caractéristique de notre cuiseur est également déterminée. En outre, les valeurs de puissance de cuisson sont calculées à partir des tests expérimentaux réalisés suivant le standard international de Funk et représentées en fonction de la différence de température entre l’eau et l’ambiance. Le cuiseur solaire réalisé, permettant une bonne interception des rayons solaires démontre de meilleures performances thermiques comparées à d'autres cuiseurs boîtes existants.

Prediction of effective properties for multiphase composite is very important not only to analysis and optimization of material performance, but also to new material designs. In this paper, the effective elastic property of some complex particulate composites is analyzed and compared with numerical results, demonstrating the validity of the proposed approach. We propose the equivalent morphology concept for the numerical homogenization of random composites. In this study, this concept is extended for complex material. A home script based on Python codes is made to automate the generating of Representative volume element with various volume fraction.

Les technologies utilisées dans les systèmes de transport intelligents varient, allant

de systèmes de gestion basiques

comme les systèmes de gestion des carrefours à

feux, les systèmes de gestion des conteneurs, les panneaux à messages variables,

radars automatiques ou la vidéosurveillance aux applications plus avancées qui

intègrent des données en temps

-

réel avec ret

ours d'informations de nombreuses

sources, comme les informations météorologiques, ...etc.

Cet article donne un

bref

aperçu sur

une

gestion intelligente des carrefours à feux

utilisant des capteurs sans fils

The factors and mechanism which control the spatial patterns of heavy metals in groundwater and their effect on human health could be identified with multivariate statistical methods and human health risk assessment. Sampling wells are statistically classified into two cluster based on the similar characters in groundwater quality using Q-mode cluster analysis (Q-mode CA). Two significant factors were extracted by principal component analyses (PCA), explaining 64.19% of the total variance. These factors were in turn described by the clusters 1 and 2, respectively, resulting from the R-mode CA. PCA and CA revealed significant anthropogenic contributions and water-rock interaction effects of the metals in groundwater. Health risk assessment factors including chronic daily intake (CDI) and hazard quotient (HQ) indices were computed for child and adult. The HQ indices of Cd and Pb in the both child and adult cases showed the value greater than the safe limits, which cause the harmful health hazards and potential non-carcinogenic health risks to the human. Spatial variability maps using ordinary kriging show that safe zones are mainly covered the west and south-western parts of the study area, while the contamination zones are found to be concentrated in the east, north, and south-eastern parts of the plain. The indicator kriging maps show highly uneven spatial pattern of Pb and Cd concentrations. The probability maps reveal that more than 50% of the total area possessed the highest probability (0.8–1.0) of exceeding the threshold values for Cd and Pb.

The aim of this paper is to examine the effectiveness of combining three popular tools used in pattern recognition, which are the Active Appearance Model (AAM), the two-dimensional discrete cosine transform (2D-DCT), and Kernel Fisher Analysis (KFA), for face recognition across age variations. For this purpose, we first used AAM to generate an AAM-based face representation; then, we applied 2D-DCT to get the descriptor of the image; and finally, we used a multiclass KFA for dimension reduction. Classification was made through a K-nearest neighbor classifier, based on Euclidean distance. Our experimental results on face images, which were obtained from the publicly available FG-NET face database, showed that the proposed descriptor worked satisfactorily for both face identification and verification across age progression.

This paper presents a simple approach for accurate determination of the resonant frequency of an elliptical microstrip patch printed on isotropic or anisotropic substrate materials. In this approach, some modifications are made to account for fringe fields, dispersion effects, and losses by calculating effective dimensions, effective permittivity of anisotropy in the layer, and effective loss tangent, respectively. The theoretical resonant frequency results are in very good agreement with the experimental results reported elsewhere. Numerical results show that the change in the resonant frequency of the antenna is due primarily to a small disturbance of the substrate’s nature. Then the effect of the uniaxial anisotropic materials is a significant parameter and most essential on the microstrip antenna characterization.