Analysis of social performance of the industrial tomatoes food chain in Algeria

International audienceThe social life cycle assessment approach is used to measure the social performance of companies, using the rules of international labor as a reference. Our purpose is to measure the social performance of sub-sectors of the industrial tomatoes food chain in Algeria. Among the different currents of this approach, the method of attributes was adopted. The system boundaries include a nursery, 150 farms and the biggest cannery of the country. The working conditions are clearly in favour of the cannery and the nursery. At farm level, the hard and precarious work, the absence of social protection and the impossibility to constitute or join a trade union, as well as child labour, determine low social performance. There is a mismatch between the labor time needed at each stage of production and the value assigned to each of these steps.La démarche d’analyse sociale de cycle de vie sert à mesurer la performance sociale des entreprises au regard des règles internationales du travail. Notre objectif est précisément de mesurer les performances sociales des sous secteurs d’activités de la filière tomates industrielles en Algérie. Parmi les divers courants de cette démarche, nous avons adopté la méthode des attributs. Le périmètre de notre système inclut une pépinière, 150 exploitations agricoles et une conserverie. Les conditions de travail sont très favorables à la conserverie et à la pépinière. Au niveau des exploitations agricoles, la pénibilité du travail, la précarité du poste, l’absence de toute protection sociale et l’impossibilité de se constituer en syndicat, le fort emploi des enfants, engendrent une faible performance sociale. Il y a inadéquation entre le temps de travail nécessaire à chaque stade de la production et la valeur attribuée à chacune de ces étapes

An Approach to Agent-Based Service Composition and Its Application to Mobile

This paper describes an architecture model for multiagent systems that was developed in the European project LEAP (Lightweight Extensible Agent Platform). Its main feature is a set of generic services that are implemented independently of the agents and can be installed into the agents by the application developer in a flexible way. Moreover, two applications using this architecture model are described that were also developed within the LEAP project. The application domain is the support of mobile, virtual teams for the German automobile club ADAC and for British Telecommunications

Multi-locus analysis of human infective Cryptosporidium species and subtypes using ten novel genetic loci

Background: Cryptosporidium is a protozoan parasite that causes diarrheal illness in a wide range of hosts including humans. Two species, C. parvum and C. hominis are of primary public health relevance. Genome sequences of these two species are available and show only 3-5% sequence divergence. We investigated this sequence variability, which could correspond either to sequence gaps in the published genome sequences or to the presence of species-specific genes. Comparative genomic tools were used to identify putative species-specific genes and a subset of these genes was tested by PCR in a collection of Cryptosporidium clinical isolates and reference strains. Results: The majority of the putative species-specific genes examined were in fact common to C. parvum and C. hominis. PCR product sequence analysis revealed interesting SNPs, the majority of which were species-specific. These genetic loci allowed us to construct a robust and multi-locus analysis. The Neighbour-Joining phylogenetic tree constructed clearly discriminated the previously described lineages of Cryptosporidium species and subtypes. Conclusions: Most of the genes identified as being species specific during bioinformatics in Cryptosporidium sp. are in fact present in multiple species and only appear species specific because of gaps in published genome sequences. Nevertheless SNPs may offer a promising approach to studying the taxonomy of closely related species of Cryptosporidia

Dynamic Performance of a Wind Turbine Based on a Self-Excited Induction Generator

The paper is devoted to the study of the dynamic performance of a wind turbine in a remote site microgrid based on a self-excited induction generator (SEIG) during sudden load connection. A dynamic model of the currents of the SEIG in the stationary reference frame dq axis is introduced and the main effect of saturation flux in the SEIG is explained. The case of self-excitation with different capacities and connected with purely resistive and inductive loads are discussed in this paper. Keywords: Renewable Energy, Induction Generator, Islanded Wind, Modeling, Self-Excited Induction Generato

Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions

Preparation of high-quality datasets for the urban scene understanding is a labor-intensive task, especially, for datasets designed for the autonomous driving applications. The application of the coarse ground truth (GT) annotations of these datasets without detriment to the accuracy of semantic image segmentation (by the mean intersection over union - mIoU) could simplify and speedup the dataset preparation and model fine tuning before its practical application. Here the results of the comparative analysis for semantic segmentation accuracy obtained by PSPNet deep learning architecture are presented for fine and coarse annotated images from Cityscapes dataset. Two scenarios were investigated: scenario 1 - the fine GT images for training and prediction, and scenario 2 - the fine GT images for training and the coarse GT images for prediction. The obtained results demonstrated that for the most important classes the mean accuracy values of semantic image segmentation for coarse GT annotations are higher than for the fine GT ones, and the standard deviation values are vice versa. It means that for some applications some unimportant classes can be excluded and the model can be tuned further for some classes and specific regions on the coarse GT dataset without loss of the accuracy even. Moreover, this opens the perspectives to use deep neural networks for the preparation of such coarse GT datasets.Comment: 10 pages, 6 figures, 2 tables, The Second International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2019) 26-27 January 2019, Kiev, Ukrain

Feed rate modeling in circular–circular interpolation discontinuity for high-speed milling

In this paper, a modeling approach is presented in order to evaluate feed rate during a circular interpolation in high-speed milling. The developed model depends on the type of discontinuity and the kinematic performance of the machine tool. To begin with, a feed rate modeling for circular interpolation with continuity in tangency is developed. After, the discontinuity in tangency between two circular interpolations is replaced by discontinuity in curvature by adding a fillet which is in relation to the functional tolerance ε imposed in the part design. An experimental study has been carried out to validate the models

WASTEWATER TREATMENT EFFICIENCY CASE OF OXYLAG WASTEWATER TREATMENT PLANT, MHAYA (MOROCCO)

The wastewater from the urban commune of Mhaya (Morocco) was rejected directly into Ben Kazza river without treatment. This situation caused a widespread, massive, varied and insidious pollution of the environment. A wastewater treatment plant (WWTP) has been constructed in 2010 in order to preserve the nature surrounding the center. Called Oxylag, the plant has a nominal capacity of 6000 Equivalent Inhabitants. It is based on intensive treatment and it is considered as pilot and unique in Morocco. The treatment is consisting on three basins ventilated by insufflation of artificial air and a basin of finishing. The present study aim is the assessment of the purification performance of this plant during 2012, through the analysis of the pollution parameters (COD, BOD5 and TSS), which is the subject of the Moroccan standards on the quality of domestic wastewater defined by the decree Number 1607-06 of 25 July 2006. The results show a high purification performance in terms of carbon pollution removal (93% for BOD5, 79% for COD and 64% for TSS)