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1. Ab Initio Study of Structural, Electronic, Magnetic and Magnetoelastic Properties of the Magnetoelectric h-YMnO3 Semiconductor

Author

E.K. Hlil, Rachid Makhloufi, B. Lagoun, S. Khenchoul, A. Chadli, I. Chadli, Linda Aissani, University of Mohamed Khider [Biskra], Université Amar Telidji - Laghouat, Université Larbi-Ben-Mhidi [Oum-El-Bouaghi] (OEB), Magnétisme et Supraconductivité (MagSup), Institut Néel (NEEL), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), and Université Grenoble Alpes (UGA)

Subjects
010302 applied physics, Materials science, Condensed matter physics, Magnetic moment, Band gap, Relaxation (NMR), Ab initio, 02 engineering and technology, 021001 nanoscience & nanotechnology, Condensed Matter Physics, 01 natural sciences, Electronic, Optical and Magnetic Materials, WIEN2k, Ferromagnetism, 0103 physical sciences, [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], Materials Chemistry, Density functional theory, Electrical and Electronic Engineering, 0210 nano-technology, Electronic band structure, ComputingMilieux_MISCELLANEOUS
Abstract

Structural, electronic and magnetic properties of the hexagonal magnetoelectric YMnO3 oxide in low symmetry were investigated using density functional theory calculations and the full-potential linearized augmented plane wave method implemented in the Wien2k code. The results showed that the internal atomic relaxation calculations are in good agreement with the experimental data. The obtained results from electronic band gap calculations using the Perdew–Burke–Ernzerhof generalized gradient approximation (GGA-PBE) reveal that the YMnO3 has a metallic character. However, the Tran–Blaha-modified Becke–Johnson (TB-mBJ) approach predicts a semiconductor type, as expected for YMnO3. The estimated band gaps are found to be close to 0.45 eV (ferromagnetic, FM) and 0.6 eV (anti-ferromagnetic, AFM). Moreover, calculations yielded a total magnetic moment of about 24 μB per unit cell. The magnetic moment carried by Mn atoms is revealed to be sensitive to the used approximation. Its value is equal to 3.3 μB and 3.5 μB for the GGA and GGA+mBJ approaches, respectively. Both values are in accordance with the experimental data.

Published
2020
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2. Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans

Author

Fadi Dornaika, Abdenour Hadid, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed, Fares Bougourzi, Cosimo Distante, Institute of Applied Sciences and Intelligent Systems (ScienceApp) (ISASI), University of Mohamed Khider [Biskra], Universidad del Pais Vasco / Euskal Herriko Unibertsitatea [Espagne] (UPV/EHU), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), COMmunications NUMériques - IEMN (COMNUM - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Istituto di Scienze Applicate e Sistemi Intelligenti 'Eduardo Caianiello' (ISASI), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), University of Biskra Mohamed Khider, Université catholique de Lille (UCL)-Université catholique de Lille (UCL), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), and The authors would like to thank Arturo Argentieri from CNR-ISASI Italy for his support on the multi-GPU computing facilities.

Subjects
Mean squared error, Computer science, Computer applications to medicine. Medical informatics, R858-859.7, convolutional neural network, 02 engineering and technology, Convolutional neural network, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, symbols.namesake, [SPI]Engineering Sciences [physics], 0302 clinical medicine, Huber loss, Intensive care, Photography, 0202 electrical engineering, electronic engineering, information engineering, Radiology, Nuclear Medicine and imaging, Electrical and Electronic Engineering, TR1-1050, Estimation, business.industry, Deep learning, COVID-19, deep learning, Pattern recognition, QA75.5-76.95, Computer Graphics and Computer-Aided Design, Pearson product-moment correlation coefficient, 3. Good health, Electronic computers. Computer science, Benchmark (computing), symbols, dataset generation, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, CT-scans, business
Abstract

COVID-19 infection recognition is a very important step in the fight against the COVID-19 pandemic. In fact, many methods have been used to recognize COVID-19 infection including Reverse Transcription Polymerase Chain Reaction (RT-PCR), X-ray scan, and Computed Tomography scan (CT- scan). In addition to the recognition of the COVID-19 infection, CT scans can provide more important information about the evolution of this disease and its severity. With the extensive number of COVID-19 infections, estimating the COVID-19 percentage can help the intensive care to free up the resuscitation beds for the critical cases and follow other protocol for less severity cases. In this paper, we introduce COVID-19 percentage estimation dataset from CT-scans, where the labeling process was accomplished by two expert radiologists. Moreover, we evaluate the performance of three Convolutional Neural Network (CNN) architectures: ResneXt-50, Densenet-161, and Inception-v3. For the three CNN architectures, we use two loss functions: MSE and Dynamic Huber. In addition, two pretrained scenarios are investigated (ImageNet pretrained models and pretrained models using X-ray data). The evaluated approaches achieved promising results on the estimation of COVID-19 infection. Inception-v3 using Dynamic Huber loss function and pretrained models using X-ray data achieved the best performance for slice-level results: 0.9365, 5.10, and 9.25 for Pearson Correlation coefficient (PC), Mean Absolute Error (MAE), and Root Mean Square Error (RMSE), respectively. On the other hand, the same approach achieved 0.9603, 4.01, and 6.79 for PCsubj, MAEsubj, and RMSEsubj, respectively, for subject-level results. These results prove that using CNN architectures can provide accurate and fast solution to estimate the COVID-19 infection percentage for monitoring the evolution of the patient state.

Published
2021
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3. In silico investigation applied in physical, chemical properties and vibrational analysis of 1.3.4-thiadiazole derivatives

Author

Abderrahmane Rouane, Noureddine Tchouar, Salah Belaidi, Dalal Harkati, Houmam Belaidi, Nabila Aoumeur, Université Mohamed Boudiaf de M'sila, Université Mohamed Khider de Biskra (BISKRA), Institut des Sciences Chimiques de Rennes (ISCR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Centre National de la Recherche Scientifique (CNRS), Université des sciences et de la Technologie d'Oran Mohamed Boudiaf [Oran] (USTO MB), University of Mohamed Khider [Biskra], Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), University of Biskra Mohamed Khider, Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)

Subjects
4-thiadiazole, Chemistry, In silico, MESP, General Chemistry, vibrational analysis, GIOAO, 010402 general chemistry, 01 natural sciences, DFT, 0104 chemical sciences, Computational chemistry, Physical chemical, 1 3 4 thiadiazole derivatives, Physics::Atomic and Molecular Clusters, [CHIM]Chemical Sciences, Physics::Chemical Physics
Abstract

International audience; The equilibrium geometries of 1,3,4-thiadiazole derivatives have been determined and analyzed at DFT level employing B3LYP/6-31G(d) basis set. The molecular electrostatic potential surface (MESP) that reveals centers of reactivity of the molecule and substitution effects of the molecular system have been studied using the HSAB principle (Hard Soft Acid and Base).Results such us, fundamental vibrational modes, 1H NMR isotropic chemical shifts, frontier orbital energies (HOMO, LUMO), band gap energy, dipole moments, net charges are reported and discussed in terms of reactivity of 1,3,4-thiadiazole derivatives. The HOMO and LUMO analysis were used to elucidate information regarding charge transfer within the molecule. Isotropic chemical shifts were calculated using the Gauge-Independent Atomic Orbital (GIOAO) method. Finally, a comparison between the experimental data and the calculated results appeared a good agreement and show exceptional reactivity. © 2019 Editura Academiei Romane. All rights reserved.

Published
2021
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4. Feature fusion via deep random forest for facial age estimation

Author

Abdelmalik Ouamane, Abdelmalik Taleb-Ahmed, Fadi Dornaika, O. Guehairia, Laboratoire Energie Signal Images et Automatique [Univ Ngaoundéré] (LESIA), Université de Ngaoundéré/University of Ngaoundéré [Cameroun] (UN), University of Mohamed Khider [Biskra], Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), COMmunications NUMériques - IEMN (COMNUM - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Spanish Ministerio de Ciencia, Innovacion y Universidades, Programa Estatal de I+D+i Orientada a los Retos de la Sociedad [RTI2018-101045-B-C21], University of Biskra Mohamed Khider, Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)

Subjects
Aging, 0209 industrial biotechnology, Databases, Factual, Property (programming), Computer science, Cognitive Neuroscience, 02 engineering and technology, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Machine Learning, Cascade of classification trees ensembles, Deep features, [SPI]Engineering Sciences [physics], Deep Learning, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Deep Random Forest, Humans, [INFO]Computer Science [cs], Representation (mathematics), Feature fusion, business.industry, Pattern recognition, [SPI.TRON]Engineering Sciences [physics]/Electronics, Random forest, Age estimation, Feature (computer vision), Biometric Identification, Face (geometry), Face descriptors, 020201 artificial intelligence & image processing, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Photic Stimulation
Abstract

International audience; In the last few years, human age estimation from face images attracted the attention of many researchers in computer vision and machine learning fields. This is due to its numerous applications. In this paper, we propose a new architecture for age estimation based on facial images. It is mainly based on a cascade of classification trees ensembles, which are known recently as a Deep Random Forest. Our architecture is composed of two types of DRF. The first type extends and enhances the feature representation of a given facial descriptor. The second type operates on the fused form of all enhanced representations in order to provide a prediction for the age while taking into account the fuzziness property of the human age. While the proposed methodology is able to work with all kinds of image features, the face descriptors adopted in this work used off-the-shelf deep features allowing to retain both the rich deep features and the powerful enhancement and decision provided by the proposed architecture. Experiments conducted on six public databases prove the superiority of the proposed architecture over other state-of-the-art methods. (C) 2020 Elsevier Ltd. All rights reserved.

Published
2020
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5. Occurrence and molecular characterization of Giardia duodenalis in lambs in Djelfa, the central steppe of Algeria

Author

Salem Belkessa, Djamel Baroudi, Ahcene Hakem, Karim Tarik Adjou, Myriam Thomas, Yaoyu Feng, Soumaya Benhassine, Dawn M. Roellig, Xiaohua Chen, AbdElkarim Laatamna, Lihua Xiao, Laboratory of Exploration and Valorisation of Steppic Ecosystems, Université Ziane Achour de Djelfa, École nationale supérieure véterinaire d'Alger, European Centre for Disease Prevention and Control (ECDC), Biologie moléculaire et immunologie parasitaires et fongiques (BIPAR), École nationale vétérinaire - Alfort (ENVA)-Laboratoire de santé animale, sites de Maisons-Alfort et de Dozulé, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)-Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Mohamed Khider [Biskra], South China Agricultural University (SCAU), National Natural Science Foundation of China (31820103014), 111 Project (D20008), and École nationale vétérinaire d'Alfort (ENVA)-Laboratoire de santé animale, sites de Maisons-Alfort et de Dozulé

Subjects
Giardiasis, medicine.medical_specialty, Veterinary medicine, Genotype, Sequence analysis, Epidemiology, 030231 tropical medicine, Protozoan Proteins, Cattle Diseases, Sheep Diseases, Biology, 03 medical and health sciences, Feces, Zoonosis, 0302 clinical medicine, Medical microbiology, MESH: Giardia lamblia, Glutamate Dehydrogenase, medicine, Prevalence, Animals, Direct fluorescent antibody, Phylogeny, 2. Zero hunger, 0303 health sciences, Sheep, General Veterinary, MESH: Giardiasis, 030306 microbiology, Glutamate dehydrogenase, MESH: Sheep Diseases, General Medicine, Lambs, medicine.disease, Diarrhea, Infectious Diseases, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Giardia duodenalis, Insect Science, Algeria, Parasitology, Cattle, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, medicine.symptom, Giardia lamblia, Triose-Phosphate Isomerase
Abstract

International audience; Little is known of the prevalence and genetic identity of Giardia duodenalis in sheep in Algeria. The present study aimed at characterizing G. duodenalis in lambs up to 6 months of age in Djelfa, Algeria. A total of 346 fecal specimens were collected from 28 farms and screened for G. duodenalis cysts by zinc sulfate flotation microscopy, and positive specimens were confirmed using a direct immunofluorescence assay. Microscopy-positive specimens were analyzed by PCR and sequence analysis of the triosephosphate isomerase and glutamate dehydrogenase genes to determine G. duodenalis assemblages. Coprological examination indicated that the overall infection rate was 7.0% (24/346). Lambs under 3 months of age had higher infection rate (18/197, 9.0%) than older (6/149, 4.0%) animals, and animals with diarrhea (7/44, 16.0%) had higher infection rate than animals without diarrhea (17/302, 5.6%). PCR sequence analyses of the 15 G. duodenalis isolates revealed the presence of assemblages A in 6 isolates, assemblage E in 7 isolates, and both in 2 isolates. Assemblage A was only found in pre-weaned lambs with diarrhea, while assemblage E was mostly found in post-weaned lambs without diarrhea. The assemblage E isolates from sheep were genetically related to those from cattle in Algeria, while assemblage A isolates were from a well-known subtype prevalent in humans. Data generated from the study improve our understanding of the transmission of G. duodenalis in Algeria.

Published
2020
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6. Multimodal 2d+3d multi-descriptor tensor for face verification

Author

Abdelmalik Oumane, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed, Adel Saoud, University of Biskra Mohamed Khider, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), COMmunications NUMériques - IEMN (COMNUM - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), University of Mohamed Khider [Biskra], Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), and Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)

Subjects
Normalization (statistics), Multilinear map, Computer Networks and Communications, Computer science, Normalization (image processing), 02 engineering and technology, Multilinear principal component analysis (MPCA), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SPI]Engineering Sciences [physics], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Histogram, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, Multilinear subspace learning, [INFO]Computer Science [cs], Tensor, Face verification, Fusion 2D-3D modalities, business.industry, Dimensionality reduction, 020207 software engineering, Pattern recognition, Covariance, Linear discriminant analysis, [SPI.TRON]Engineering Sciences [physics]/Electronics, Hardware and Architecture, Subspace tensor, Artificial intelligence, Multilinear discriminant analysis (MDA), business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Software, Subspace topology
Abstract

International audience; In the last few years, there is a growing interest in multilinear subspace learning for dimensionality reduction of multidimensional data. In this paper, we proposed a multimodal 2D + 3D face verification system based on Multilinear Discriminant Analysis MDA integrating Within Class Covariance Normalization WCCN technique. Histograms of local descriptor applied to features extraction from 2D and 3D face images are concatenated and organized as a tensor design. This tensor is then reduced and projected using MDA technique into a lower subspace. WCCN technique is used to reduce the effect of the intra class directions using normalisation transform and to enhance the discrimination power of the MDA. Our experiments were carried out on the three biggest databases: FRGC v2.0, Bosphorus and CASIA 3D under expressions, occlusions and pose variations. Experimental results showed the superiority of the proposed approach in term of verification rate when compared to the state of the art method.

Published
2020
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7. Service Oriented D2D Efficient Communication for Post-Disaster Management

Author

Walid Bechkit, Abdelmalik Bachir, Sami Abdellatif, Okba Tibermacine, University of Mohamed Khider [Biskra], CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria), ALGorithmes et Optimisation pour Réseaux Autonomes (AGORA), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), University of Biskra Mohamed Khider, Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-CITI Centre of Innovation in Telecommunications and Integration of services (CITI), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)

Subjects
Service (systems architecture), Computer science, Network packet, business.industry, Energy consumption, law.invention, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Relay, law, Redundancy (engineering), Key (cryptography), Network performance, business, Computer network
Abstract

International audience; In a post-disaster situation, the construction of replacement communication infrastructure is crucial for the success of rescue operations. LTE Device-to-Device Proximity Services and IoT are considered as key enabling technologies for the construction of such replacement networks. Existing techniques rely on smartphones as relay stations to build a replacement broadcast-based network that connects available devices. In many cases, the using of such networks require querying a given type of IoT devices (e.g. surveillance cameras, heart-rate monitors, temperature sensors) depending on network users and service requirements. In such scenarios, incorporating all relays in the broadcast is inefficient and may lead to poor network performance. In this paper, we propose constructing for each service type a sub-network of relay stations that ensure connectivity among IoT devices providing the same service type. The resulting sub-networks ensure an efficient and robust message dissemination, avoiding transmission redundancy, and resulting in higher energy savings as well as high coverage. These properties have been validated by implementing our solution in NS-3 by extending the LTE D2D ProSe module provided by NIST. Obtained results show significant improvements in terms of energy consumption, and packet delivery ratio.

Published
2020
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8. Optimal model-free backstepping control for a quadrotor helicopter

Author

Hossam Eddine Glida, Latifa Abdou, Chouki Sentouh, Abdelghani Chelihi, Seif-El-Islam Hasseni, Laboratoire de Modélisation des Systèmes Energétiques (LMSE), Université Mohamed Khider de Biskra (BISKRA), University of Mohamed Khider [Biskra], University of Constantine, Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), and Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)

Subjects
Lyapunov function, Computer science, Applied Mathematics, Mechanical Engineering, MIMO, Aerospace Engineering, Ocean Engineering, Optimal control, 01 natural sciences, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Nonlinear system, symbols.namesake, Control and Systems Engineering, Control theory, Robustness (computer science), Computer Science::Systems and Control, Control system, Backstepping, 0103 physical sciences, symbols, Electrical and Electronic Engineering, Cuckoo search, 010301 acoustics
Abstract

International audience; This paper proposes a design of a direct optimal control for a class of multi-input–multi-output (MIMO) nonlinear systems. This work focuses on the design of optimal model-free backstepping controller for a MIMO quadrotor helicopter perturbed by unknown external disturbances. The proposed method consists of using a model-free-based backstepping controller optimized by a cuckoo search algorithm. First, the overall dynamic model is decoupled into six interconnected subsystems. Then, the ideal backstepping controller with a known dynamic function is designed for each subsystem. The model-free based on backstepping control uses a new estimator approach to approximate the unknown dynamic model functions. After that, the global asymptotical stability of the closed-loop control system is proved via the Lyapunov theory. Moreover, the parameters of the proposed controller are optimized by the cuckoo search algorithm according to a cost function. The results of numerical simulations applied to the quadrotor helicopter system demonstrate the robustness and the effectiveness of the proposed control strategy.

Published
2020
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9. Efficient Distributed D2D ProSe-Based Service Discovery and Querying in Disaster Situations

Author

Okba Tibermacine, Walid Bechkit, Abdelmalik Bachir, Sami Abdellatif, University of Mohamed Khider [Biskra], CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria), ALGorithmes et Optimisation pour Réseaux Autonomes (AGORA), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), University of Biskra Mohamed Khider, Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-CITI Centre of Innovation in Telecommunications and Integration of services (CITI), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)

Subjects
business.industry, Computer science, Network packet, Service discovery, 020206 networking & telecommunications, 020207 software engineering, 02 engineering and technology, Energy consumption, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0202 electrical engineering, electronic engineering, information engineering, Redundancy (engineering), Wireless, business, Computer network
Abstract

International audience; We consider disaster situations where communication infrastructure is partially or totally destroyed. We explore alternatives for enabling fast and efficient service discovery and querying which allow rescuers get access to information produced by available various things such health sensors, wireless cameras, smartwatches and any other relevant devices or sensors helping in the rescue operation. We propose to make use of available users’ smartphones for efficiently relaying discovery/querying messages. We make use of LTE Device-to-Device Proximity Services (LTE D2D ProSe) technology to build a distributed D2D broadcast backbone which allows efficient and robust message dissemination avoiding transmission redundancy and resulting in higher energy savings while achieving high coverage. Our solution, Efficient D2D Broadcast (ED2DB) has been implemented on NS-3 by extending the LTE D2D ProSe module provided by NIST. Obtained results show that significant improvements in terms of energy consumption, end-to-end delay, and packet delivery ratio can be obtained by using ED2DB with LTE D2D ProSe over other technologies such as WiFi.

Published
2020
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10. Study of the Curing Behaviour of an Algerian Calcareous Crust

Author

Myriam Duc, Hamza Loualbia, Sadok Feia, Abdellah Demdoum, Université Ziane Achour de Djelfa, Sols, Roches et Ouvrages Géotechniques (GERS-SRO), Université Gustave Eiffel, Université Kasdi Merbah Ouargla, and University of Mohamed Khider [Biskra]

Subjects
Materials science, 0211 other engineering and technologies, Compaction, Soil Science, Mineralogy, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, 02 engineering and technology, 010502 geochemistry & geophysics, CURING PROCESS, 01 natural sciences, WATER CONTENT, COMPACTION, FORCE, chemistry.chemical_compound, SOL CALCAIRE, Architecture, STRENGTH, Water content, Dissolution, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Calcite, CALCAREOUS CRUST, Geology, Crust, DURCISSEMENT, Geotechnical Engineering and Engineering Geology, COMPACTIBILITE, chemistry, EAU, Imbibition, Saturation (chemistry), Calcareous
Abstract

For some compaction water content, calcareous crust remains a solid, and may readily be collapsing when the saturation increased. After a period that depends on the evaporation of the water, the calcareous crust compacted begins to harden or gain strength. The strength gain is very rapid at quick drying, but it will be slow, for slow drying. Evaporation from the calcareous crust compacted should be related to the increase in strength. This experimental work carried out on samples dried under different conditions, attempts to explain the origin of the curing and the existence of a water content for which it is maximum. SEM observations and mercury intrusion porosimetry (MIP) test have shown that the assumption that suction contributes only to an increase in cohesion may not be always true. The dissolution of calcite during the imbibition may also influence the curing.

Published
2020
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11. A Bottom-Up Approach for Reconstructing Software Architecture Product Lines

Author

Tewfik Ziadi, Mohamed Lamine Kerdoudi, Chouki Tibermacine, Salah Sadou, University of Mohamed Khider [Biskra], Modélisation et Vérification (MoVe), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Models And Reuse Engineering, Languages (MAREL), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Université de Bretagne Sud (UBS), University of Biskra Mohamed Khider, Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Advanced Technologies for Operated Networks (ARCHWARE), LANGAGE ET GÉNIE LOGICIEL (IRISA-D4), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA)

Subjects
Reverse engineering, Service (systems architecture), Computer science, business.industry, 020207 software engineering, 02 engineering and technology, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], computer.software_genre, 020204 information systems, Java collections framework, Component (UML), 0202 electrical engineering, electronic engineering, information engineering, Software system, Architecture, Software product line, Software architecture, Software engineering, business, computer
Abstract

International audience; A large component and service-based software system exists in different forms, as different variants targeting different business needs and users. This kind of systems is provided as a set of "indepen-dent" products and not as a "single whole". The presence of a single model describing the architecture of the whole system may be of great interest for developers of future variants. Indeed, this enables them to see the invariant part of the whole, on top of which new functionality can be built, in addition to the different options they can use. We investigate in this work the use of software product line reverse engineering approaches, and in particular the framework named BUT4Reuse, for reconstructing an architecture model of a Software Architecture Product Line (SAPL), from a set of variants. We propose a generic process for reconstructing an architecture model of such a product line. We have instantiated this process for the OSGi Java framework and experimented it for building the architecture model of Eclipse IDE SPL.

Published
2019
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12. A structural comparative study of charge transfer compounds: Synthesis, crystal structure, IR, Raman-spectroscopy, DFT computation and hirshfeld surface analysis

Author

Ismail Daoud, Lynda Golea, Nourredine Benali-Cherif, Wahiba Falek, Rim Benali-Cherif, Salima Samai, El-Eulmi Bendeif, Département Sciences de la Matière, Faculté des Sciences Exactes, Université Larbi Ben M'Hidi, Université Larbi-Ben-Mhidi [Oum-El-Bouaghi] (OEB), Universite Abbes Laghrour [Khenchela], Laboratoire de Chimie et Chimie de l'Environnement (LCCE), Université Hadj Lakhdar Batna 1, Université Akli Mohand Oulhadj Bouira (ALGERIA), École Nationale Polytechnique de Constantine, Cristallographie, Résonance Magnétique et Modélisations (CRM2), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), and University of Mohamed Khider [Biskra]

Subjects
[PHYS]Physics [physics], 010405 organic chemistry, Chemistry, Organic Chemistry, Intermolecular force, Infrared spectroscopy, Crystal structure, 010402 general chemistry, 01 natural sciences, 0104 chemical sciences, Analytical Chemistry, Inorganic Chemistry, Crystal, symbols.namesake, X-ray crystallography, symbols, Physical chemistry, Molecular orbital, Raman spectroscopy, Single crystal, Spectroscopy, ComputingMilieux_MISCELLANEOUS
Abstract

The present work focuses on the crystal structure analysis, vibrational spectroscopy investigation and DFT calculation. Two new charge transfer compounds; bis (creatininium) fumarate fumaric acid (I) and creatininium 3,5-dicarboxybenzoate monohydrate (II), have been synthesized, their Raman and IR modes of vibrations have been assigned and their crystal structures have been studied by means of single crystal X-ray diffraction. Complementary Hirshfeld surface analysis were carried out to investigate and quantify the contributions of the different intermolecular interactions within the crystal. This analysis revels that the main contributions in both compounds are provided by the O⋯H and H⋯H interactions that represent ∼70 (for I) and ∼75% (for II) of the total contributions to the Hirshfeld surface. The results of the theoretically predicted structural parameters and vibrational frequencies are in good agreements with the experimental investigations. These results show that both compounds exhibit similar features, however the energy gap between EHOMO and ELUMO obtained from the molecular orbital analysis indicates that compound (I) is characterized by a molecular structural more favourable for charge transfer.

Published
2019
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13. A global variational filter for restoring noised images with gamma multiplicative noise

Author

N. Diffellah, Abdelmalik Taleb-Ahmed, F. Derraz, Zine-Eddine Baarir, University of Mohamed Khider [Biskra], Université Aboubekr Belkaid - University of Belkaïd Abou Bekr [Tlemcen], Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), COMmunications NUMériques - IEMN (COMNUM - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), IEMN, Collection, University of Biskra Mohamed Khider, Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), and Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN)

Subjects
multiplicative gamma noise, restoration, Computer science, Image quality, [SPI] Engineering Sciences [physics], Probability density function, 010103 numerical & computational mathematics, 02 engineering and technology, 01 natural sciences, Regularization (mathematics), Multiplicative noise, [SPI]Engineering Sciences [physics], lcsh:Technology (General), 0202 electrical engineering, electronic engineering, information engineering, MAP estimation, 0101 mathematics, lcsh:T58.5-58.64, lcsh:Information technology, Multiplicative function, PSNR, data fitting, proximal operator, Real image, VSNR, regularization, Variational method, total variation, lcsh:TA1-2040, SSIM, Curve fitting, lcsh:T1-995, 020201 artificial intelligence & image processing, lcsh:Engineering (General). Civil engineering (General), Algorithm
Abstract

In this paper, we focus on a globally variational method to restore noisy images corrupted by multiplicative gamma noise. Our problem is assumed as a regularization problem in total variation (TV) framework with data fitting term which is deduced by maximizing the a-posteriori probability density (MAP estimation). We need to evaluate the proximal operator of a data fitting term then we numerically adapt the Douglas-Rachford (DR) splitting method to solve the problem. Our experiments use real images with different levels of noise. To validate the effectiveness of the proposed method, we compare the proposed method with other variational models. Our method shows effective suppression of noise, excellent edge preservation, and the measures of image quality such as PSNR (peak signal-to-noise ratio), VSNR (visual signal-to-noise ratio) and SSIM (structural similarity index) explain the proposed model΄s good performance.

Published
2019

14. Contact Points and Schatten Class of Composition Operators

Author

A. Yagoub, L. Merghni, F. Korrichi, Z. Bendaoud, Université Amar Telidji - Laghouat, Institut de Mathématiques de Marseille (I2M), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), University of Mohamed Khider [Biskra], Egide PHC-Tassili 30875XC, I2M, Aix-Marseille Universite, and University of Biskra Mohamed Khider

Subjects
Class (set theory), General Mathematics, Generalized Nevanlinna counting function, 01 natural sciences, Dirichlet spaces, Dirichlet distribution, Symbol (chemistry), Combinatorics, symbols.namesake, Level set, 0103 physical sciences, 0101 mathematics, 47B33 (42B35), Link (knot theory), Mathematics, Applied Mathematics, composition operators, 010102 general mathematics, [MATH.MATH-CV]Mathematics [math]/Complex Variables [math.CV], Composition (combinatorics), Mathematics::Spectral Theory, Unit circle, Schatten class, symbols, 010307 mathematical physics, level set
Abstract

International audience; We study the composition operators on the Dirichlet spaces belonging to Schatten class and the link with the size of contact points of its symbol with the unit circle.

Published
2018
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15. Évaluation quantitative et qualitative du système anidolique sous un climat chaud et aride

Author

Daich, Safa, Saadi, Mohamed Yacine, Zemmouri, Nourddine, Morello, Eugenio, Piga, Barbara E.A., Daiche, Ahmed Motie, University of Mohamed Khider [Biskra], Politecnico di Milano [Milan] (POLIMI), Nicolas Rémy (dir.), and Nicolas Tixier (dir.)

Subjects
[SHS.ARCHI]Humanities and Social Sciences/Architecture, space management, ambiances, hot and dry climate, visual comfort, Anidolic integrated ceiling, spherical image, test model
Abstract

Part of topic : Ambiantal experiences and experiments; International audience; The system presented in this study, called Anidolic integrated ceiling (AIC) is one of the advanced Day lighting systems used to capture, channel and distribute day lighting to the interior space. The present paper gives a quantitative and qualitative evaluation of anidolic integrated ceiling. This device was designed with regard of luminous climate of the city of Biskra (Algeria), installed in the north façade and their luminous performance is assessed experimentally by using scale model, for a 12m deep room. The results of this experimental analysis have shown that the Anidolic Integrated Ceiling offers a great potential for increasing the illuminance level in deep-plan building under hot and dry regions (intermediate sky conditions). In addition, the spherical image shown that the integration of this system provides a good ambiances result by uniform luminance distribution throughout the room which produces a visual satisfaction compared to the reference model.

Published
2016

16. Full body adjustment using iterative inverse kinematic and body parts correlation

Author

Ahlem Bentrah, Christophe Gillet, Abdelmalik Taleb-Ahmed, Abdelhamid Djeffal, Mc Babahenini, Philippe Pudlo, University of Mohamed Khider [Biskra], Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Centre National de la Recherche Scientifique (CNRS)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC), and Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)

Subjects
Kinematic chain, Mathematical optimization, 321 kinematic structure, Inverse kinematics, Virtual humanoid, Kinematic diagram, Inverse kinematic, [SDV]Life Sciences [q-bio], Inverse, 020207 software engineering, 02 engineering and technology, Kinematics, Animation, Inverse dynamics, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Computer Science::Robotics, Geometric algebra, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Kinematic pair, Algorithm, ComputingMilieux_MISCELLANEOUS, Mathematics
Abstract

In this paper, we present an iterative inverse kinematic method that adjust 3D human full body pose in real time to achieve new constraints. The input data for the adjustments are the starting posture and the desired end effectors positions -constraints-. The principal idea of our method is to divide the full-body into groups and apply inverse kinematic based on conformal algebra to each group in specific order, our proposed method involve correlation of body parts. In the first part of the paper we explain the used inverse kinematic when handle with one and multiple constraints simultaneously and in the case of the collision induced by the joints with the objects of the environment. The second part focuses on the adjustment algorithm of the full body using the inverse kinematic described above. Comparison is made between the used inverse kinematic(IK) and another inverse kinematic that have the same principle. In the case of multiple tasks simultaneously, our inverse kinematic gives results without con ict. With presence of obstacles, our IK allows to avoid collisions too. Preliminary results of the adjustment method show that it generates new realistic poses that respect quickly new constraints. The tests made on our adjustment method show that it resolves the motion retargeting problem.

Published
2014
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17. Stochastic Maximum Principle for Hilbert Space Valued Forward-Backward Doubly SDEs with Poisson Jumps

Author

Boulakhras Gherbal, AbdulRahman Al-Hussein, Qassim University [Kingdom of Saudi Arabia], University of Mohamed Khider [Biskra], Christian Pötzsche, Clemens Heuberger, Barbara Kaltenbacher, Franz Rendl, and TC 7

Subjects
010102 general mathematics, Mathematical analysis, Hilbert space, Forward-backward doubly stochastic differential equation, Poisson random measure, Poisson process, 16. Peace & justice, Poisson distribution, 01 natural sciences, Separable space, Wiener process, 010104 statistics & probability, Stochastic differential equation, symbols.namesake, Maximum principle, Compound Poisson process, symbols, [INFO]Computer Science [cs], 0101 mathematics, Mathematics
Abstract

International audience; In this paper we study the stochastic maximum principle for a control problem in infinite dimensions. This problem is governed by a fully coupled forward-backward doubly stochastic differential equation (FBDSDE) driven by two cylindrical Wiener processes on separable Hilbert spaces and a Poisson random measure. We allow the control variable to enter in all coefficients appearing in this system.Existence and uniqueness of the solutions of FBDSDEs and an extended martingale representation theorem are provided as well.

Published
2013
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18. Gastroprotective Efficacy of North African Medicinal Plants: A Review on Their Therapeutic Potential for Peptic Ulcers.

Author

Cherrada N, Chemsa AE, Gheraissa N, Laib I, Gueboudji Z, El-Shazly M, Zaater A, Abid A, Sweilam SH, Emran TB, Nani S, Benamor B, Ghemam Amara D, Atoki AV, and Messaoudi M

Abstract

Peptic ulcer disease remains a prevalent gastrointestinal disorder worldwide. Current treatments often have limitations, sparking interest in alternative therapies from medicinal plants. This review examines the gastroprotective potential of 54 North African medicinal plants against peptic ulcers. An extensive literature search was conducted, focusing on plants with preclinical and clinical evidence of anti-ulcer efficacy and documented use in North African traditional medicine. The review identified several promising plant species, such as licorice ( Glycyrrhiza glabra ), chamomile ( Matricaria chamomilla ), olive ( Olea europaea ), pomegranate ( Punica granatum ), Aloe vera, and black seed ( Nigella sativa ), along with their bioactive constituents, including flavonoids, tannins, and terpenoids. These compounds exhibit gastroprotective properties through multiple mechanisms, such as enhancing the gastric mucosal barrier, inhibiting acid secretion, displaying antioxidant and anti-inflammatory effects, promoting ulcer healing, and combating Helicobacter pylori infection. The evidence presented includes in vitro assays, animal models, and some clinical studies. While many of the 53 plants reviewed demonstrated significant anti-ulcer effects compared to standard drugs, further clinical research is needed to establish efficacy and safety in humans. The synergistic actions of phytochemical mixtures in medicinal plant extracts likely contribute to their therapeutic potential. This review highlights the role these North African medicinal plants may play in the prevention and treatment of peptic ulcers and identifies promising candidates for further research and development of evidence-based botanical therapies., Competing Interests: The authors declare no conflicts of interest., (© 2024 The Author(s). Food Science & Nutrition published by Wiley Periodicals LLC.)

Published
2024
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19. Polyphenolic Profile and In vitro, In Silico Study of Stem Extracts from J. Maritimus (Juncaceae) Harvested from Eastern Algeria as Potential Anti-Inflammatory and Antioxidant Agents.

Author

Zeroual S, Daoud I, Gaouaoui R, and Kherachi R

Abstract

Juncus maritimusan extremophilous microorganism speciesknown for its medicinal properties was collected in the Biskra region with the aim of its valorization. The volume size of polyphenols, flavonoids and condensed tannins was performed using the Folin-Ciocalteu method, aluminum trichloride and vanillin respectively. The volume of Polyphenols was 127.73±0.20 μg EAG/mg ES, the volume offlavonoids was 16.42±0.42 μg EQ/mg ES, and the volume ofcondensed tannins was 10.10±0.35 μg EC/mg ES. The results of the antioxidant activity tests using the DPPH and ABTS methods reveal that the ethyl acetate extract had the highest activity in both tests. The results of the in vitro anti-inflammatory activity, using the BSA protein denaturation assay, showed that the percentage of denaturation inhibition wasproportional to the concentration of the extract. At a concentration of 5 mg/mL, the inhibition percentage of the extract were 82.03 % and 80.23 %, respectively,which wereclose tothose of theanti-inflammatory drug Diclofenac.Furthermore, molecular docking simulations indicated that Berberine has high binding affinity to the targets COX-2 and PLA-2 In fact,bioisosteric replacement is being usedto discover new analogs of Berberine. Finally, ADME-Tox predictions demonstrated that this compound and its analogs were not hepatotoxic. This result may lead to the selection ofBerberine and its analogs as active compounds with anti-inflammatory and antioxidant effects., (© 2024 Wiley-VHCA AG, Zurich, Switzerland.)

Published
2024
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20. Synthesis, characterization, anticancer activity and molecular docking of metal complexes bearing a new Schiff base ligand.

Author

Alorini T, Al-Hakimi AN, Daoud I, Alminderej F, Albadri AEAE, and Aroua L

Subjects
Molecular Docking Simulation, Ferric Compounds, Schiff Bases chemistry, Ligands, Metals chemistry, Anti-Bacterial Agents chemistry, Microbial Sensitivity Tests, Coordination Complexes chemistry
Abstract

2-(( E )-((4-((( E )-4-Nitrobenzylidene)amino)phenyl)imino)methyl)naphthalen-1-ol, was synthesised followed by metalation with Fe(III), Co(III), Cu(II), Zn(II) and Ni(II) metals. The compounds were characterised by different methods CHN, AAS, IR, NMR, XRD, TGA and UV-Vis. The results reveal that the ligand has bidentate behavior, and it is bound with metals by a coordination bond through both the nitrogen atom of the azomethine group and the oxygen atom, this provided an octahedral geometry. The X-ray diffraction of the compounds indicate that the ligands and complexes of Co(III), Fe(III) and Zn(II) have a crystalline nature, whereas the Ni(II) and Cu(II) have an amorphous structure. The agar diffusion method (hole plate) was used to evaluate the ligand's and its complexes' antibacterial and antifungal effects on Salmonella enterica serovar typhi and Candida albicans , respectively. It was observed that the Fe(III) complex had the best activity among the compounds against microbial strains. Cytotoxicity of new metal complexes was also assessed against A549, HepG-2 and PC-3 cancer cells. Results demonstrated that the Cu(II) complex displayed the preeminent activity among the synthesised compounds against all the tested cell lines. Furthermore, molecular docking simulation revealed that the Fe(III) complex is shown to have a high affinity with the active sites of two targets of microbial strains. Also, the Cu(II) complex shown to has a high affinity with the active sites of three targets of A-549, HepG-2 and PC-3 cancer cells, which was confirmed by the formation of the different modes of interaction.Communicated by Ramaswamy H. Sarma.

Published
2023
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21. Investigation of [ 3 H]diazepam derivatives as allosteric modulators of GABAA receptor α 1 β 2 γ 2 subtypes: combination of molecular docking/dynamic simulations, pharmacokinetics/drug-likeness prediction, and QSAR analysis.

Author

Djebaili R, Kenouche S, Daoud I, Melkemi N, Belkadi A, and Mesli F

Abstract

In this paper, a data set of [ 3 H] diazepam derivatives was analyzed using various computational methods: molecular docking/dynamic simulations, and QSAR analysis. The main aims of these studies are to understand the binding mechanisms by which benzodiazepines allosterically modulate GABA A receptor α 1 β 2 γ 2 subtypes, from inducing neuronal inhibition at lower doses to the anesthetic effect at higher doses, and also, to define the structural requirements that contribute to improving the response of GABA A /α 1 β 2 γ 2 receptor to benzodiazepine drugs. The results of the molecular docking study allowed selecting Ro12-6377 and proflazepam as the best modulators for the four binding sites simultaneously. Subsequently, the stability of the selected complexes was investigated by performing molecular dynamics simulation. The latter confirmed the features of both modulators to exert direct effects on the chloride-channel lining residues. Pharmacokinetics and drug-likeness profile were assessed through in silico tool. Furthermore, a QSAR analysis was conducted using an improved vemolecular dynamics simulations proposed byrsion of PLS regression. The goodness of fit and the predictive power of the resulting PLS model were estimated according to internal and external validation parameters: R 2  = 0.632, R 2 adj  = 0.584, F  = 0.813. Clearly, the obtained results ensure the predictive ability of the developed QSAR model for the design of new high-potency benzodiazepine drugs.p- value = 6.2050e - 07, Q 2 loo  = 0.639, and Q 2 F3  = 0.813. Clearly, the obtained results ensure the predictive ability of the developed QSAR model for the design of new high-potency benzodiazepine drugs., Supplementary Information: The online version contains supplementary material available at 10.1007/s11224-022-02029-4., Competing Interests: Conflict of interestThe authors declare no competing interests., (© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Published
2023
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22. Speed Estimation of Six-Phase Induction Motors, Using the Rotor Slot Harmonics.

Author

Laadjal K, Bento F, Antunes HRP, Sahraoui M, and Cardoso AJM

Subjects
Fourier Analysis, Rotation, Algorithms, Electricity
Abstract

Multiphase machines have recently been promoted as a viable alternative to traditional three-phase machines. Most experts are looking for strategies to estimate the rotation speed of such complex systems, since speed data are required for high-performance control purposes. Traditionally, electromechanical sensors were used to detect the rotor speed of electric motors. These devices are extremely accurate, but they are also delicate and costly to deploy. New speed estimating algorithms must be created for these situations. This paper looks at how to estimate rotor speed in symmetrical six-phase induction motors (IMs) using a novel strategy for rotor speed estimation based on the Short Time Fourier Transform (STFT) method. The technique is based on tracking the frequencies of the rotor slot harmonics (RSH) seen in most squirrel-cage IM stator currents, thus assuring a broad range of applications. To monitor the RSH, the STFT employs a sliding window to perform the discrete Fourier transform technique, making it more suitable for online use with noisy and nonstationary signals. Experimental tests demonstrate the effectiveness of the suggested approach.

Published
2022
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23. IoMT-fog-cloud based architecture for Covid-19 detection.

Author

Mohamed Akram K, Sihem S, Okba K, and Harous S

Abstract

Limitations of Available Literature: Nowadays, coronavirus disease 2019 (COVID-19) is the world-wide pandemic due to its mutation over time. Several works done for covid-19 detection using different techniques however, the use of small datasets and the lack of validation tests still limit their works. Also, they depend only on the increasing the accuracy and the precision of the model without giving attention to their complexity which is one of the main conditions in the healthcare application. Moreover, the majority of healthcare applications with cloud computing use centralization transmission process of various and vast volumes of information what make the privacy and security of personal patient's data easy for hacking. Furthermore, the traditional architecture of the cloud showed many weaknesses such as the latency and the low persistent performance., Method Proposed by the Author With Technical Information: In our system, we used Discrete Wavelet transform (DWT) and Principal Component Analysis (PCA) and different energy tracking methods such as Teager Kaiser Energy Operator (TKEO), Shannon Wavelet Entropy Energy (SWEE), Log Energy Entropy (LEE) for preprocessing the dataset. For the first step, DWT used to decompose the image into coefficients where each coefficient is vector of features. Then, we apply PCA for reduction the dimension by choosing the most essential features in features map. Moreover, we used TKEO, SHEE, LEE to track the energy in the features in order to select the best and the most optimal features to reduce the complexity of the model. Also, we used CNN model that contains convolution and pooling layers due to its efficacity in image processing. Furthermore, we depend on deep neurons using small kernel windows which provide better features learning and minimize the model's complexity.The used DWT-PCA technique with TKEO filtering technique showed great results in terms of noise measure where the Peak Signal-to-Noise Ratio (PSNR) was 3.14 dB and the Signal-to-Noise Ratio (SNR) of original and preprocessed image was 1.48, 1.47 respectively which guaranteed the performance of the filtering techniques.The experimental results of the CNN model ensure the high performance of the proposed system in classifying the covid-19, pneumonia and normal cases with 97% of accuracy, 100% of precession, 97% of recall, 99% of F1-score, and 98% of AUC., Advantages and Application of Proposed Method: The use of DWT-PCA and TKEO optimize the selection of the optimal features and reduce the complexity of the model.The proposed system achieves good results in identifying covid-19, pneumonia and normal cases.The implementation of fog computing as an intermediate layer to solve the latency problem and computational cost which improve the Quality of Service (QoS) of the cloud.Fog computing ensure the privacy and security of the patients' data.With further refinement and validation, the IFC-Covid system will be real-time and effective application for covid-19 detection, which is user friendly and costless., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 Elsevier Ltd. All rights reserved.)

Published
2022
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24. Lobularia libyca : Phytochemical Profiling, Antioxidant and Antimicrobial Activity Using In Vitro and In Silico Studies.

Author

Benchikha N, Chelalba I, Debbeche H, Messaoudi M, Begaa S, Larkem I, Amara DG, Rebiai A, Simal-Gandara J, Sawicka B, Atanassova M, and Youssef FS

Subjects
Anti-Bacterial Agents pharmacology, Flavonoids analysis, Humans, Methanol chemistry, Phenols analysis, Phytochemicals chemistry, Plant Extracts chemistry, Plant Extracts pharmacology, Antioxidants analysis, Antioxidants pharmacology, Brassicaceae
Abstract

Lobularia libyca ( L. libyca ) is a traditional plant that is popular for its richness in phenolic compounds and flavonoids. The aim of this study was to comprehensively investigate the phytochemical profile by liquid chromatography, electrospray ionization and tandem mass spectrometry (LC-ESI-MS), the mineral contents and the biological properties of L. libyca methanol extract. L. libyca contains significant amounts of phenolic compounds and flavonoids. Thirteen compounds classified as flavonoids were identified. L. libyca is rich in nutrients such as Na, Fe and Ca. Moreover, the methanol extract of L. libyca showed significant antioxidant activity without cytotoxic activity on HCT116 cells (human colon cancer cell line) and HepG2 cells (human hepatoma), showing an inhibition zone of 13 mm in diameter. In silico studies showed that decanoic acid ethyl ester exhibited the best fit in β-lactamase and DNA gyrase active sites; meanwhile, oleic acid showed the best fit in reductase binding sites. Thus, it can be concluded that L. libyca can serve as a beneficial nutraceutical agent, owing to its significant antioxidant and antibacterial potential and due to its richness in iron, calcium and potassium, which are essential for maintaining a healthy lifestyle.

Published
2022
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25. An integrated in silico and in vivo approach to determine the effects of three commonly used surfactants sodium dodecyl sulphate, cetylpyridinium chloride and sodium laureth sulphate on growth rate and hematology in Cyprinus carpio L .

Author

Bhattacharya R, Daoud I, Chatterjee A, Chatterjee S, and Saha NC

Subjects
Animals, Cetylpyridinium, Molecular Docking Simulation, Sodium Dodecyl Sulfate analogs & derivatives, Sodium Dodecyl Sulfate toxicity, Surface-Active Agents toxicity, Carps, Hematology
Abstract

The purpose of this work is to evaluate the homology modeling, in silico prediction, and characterization of somatotropin and erythropoietin from Cyprinus carpio as well as molecular docking and simulation experiments between the modeled proteins and surfactants sodium dodecyl sulfate (SDS), sodium laureth sulfate (SLES) and cetylpyridinium chloride (CPC). Using the best fit template structure, homology modeling of somatotropin and erythropoietin of Cyprinus carpio respectively was conducted. The model structures were improved further with 3Drefine, and the final 3D structures were verified with PROCHEK, ERRATA and ProQ. The physiochemical, as well as the stereochemical parameters of the modeled proteins, were evaluated using ExPASy's ProtParam. Molecular docking calculations, protein-ligand interactions, and protein flexibility analysis were carried out to determine the binding pattern of each ligand to the targeted proteins and their effect on the overall proteins' conformation. Our in silico analysis showed that hydrophobic interactions with the active site amino acid residues of the modeled proteins (somatotropin and erythropoietin) were more prevalent than hydrogen bonds and salt bridges that affect the flexibility and stability of the somatotropin and erythropoietin as revealed from our protein flexibility analysis. The in vivo analysis showed that sublethal concentrations of SDS, SLES, and CPC negatively affected the growth and hematological parameters of Cyprinus carpio . Hence, it may be inferred from the study that the alterations in the flexibility of somatotropin and erythropoietin of Cyprinus carpio upon addition of SDS, CPC and SLES might be attributable to the reduction in growth and hematological parameters.

Published
2022
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26. Effect of Extraction Methods on Polyphenols, Flavonoids, Mineral Elements, and Biological Activities of Essential Oil and Extracts of Mentha pulegium L.

Author

Messaoudi M, Rebiai A, Sawicka B, Atanassova M, Ouakouak H, Larkem I, Egbuna C, Awuchi CG, Boubekeur S, Ferhat MA, Begaa S, and Benchikha N

Subjects
Animals, Anti-Infective Agents pharmacology, Antioxidants pharmacology, Cyclohexane Monoterpenes chemistry, Gas Chromatography-Mass Spectrometry, Humans, Male, Menthol chemistry, Mice, Oils, Volatile pharmacology, Plant Extracts pharmacology, Flavonoids chemistry, Mentha pulegium chemistry, Minerals chemistry, Oils, Volatile chemistry, Plant Extracts chemistry, Polyphenols chemistry
Abstract

Our study evaluated the in vitro antioxidant properties, antibacterial and antifungal activities, anti-inflammatory properties, and chemical composition of the essential oils (EOs), total phenol, and total flavonoid of wild Mentha pulegium L. This study also determined the mineral (nutritional and toxic) elements in the plant. The EOs were extracted using three techniques-hydro distillation (HD), steam distillation (SD), and microwave-assisted distillation (MAD)-and were analyzed using chromatography coupled with flame ionization (GC-FID) and gas chromatography attached with mass spectrometry detector (GC-MS). The antioxidant effects of the EOs were tested with 2,2-diphenyl-1-picrylhydrazyl (DPPH) and ABTS (2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid), while the antibacterial and antifungal activities of the EO and methanolic extract were tested using Staphylococcus aureus, Bacillus subtilis, Pseudomonas aeruginosa, Escherichia coli, and Candida albicans. Twenty-six compounds were identified in the essential oil, representing 97.73% of the total oil, with 0.202% yield. The major components were pulegone (74.81%), menthone (13.01%) and piperitone (3.82%). Twenty-one elements, including macro- and micro-elements (Ba, Br, Ca, Cl, Co, Cr, Cs, Eu, Fe, K, Mg, Mn, Mo, Na, Rb, Sb, Sc, Sr, Th, U and Zn), were detected using neutron activation analysis (INAA) and inductively coupled plasma optical emission spectrometry (ICP-OES), with the concentration of mineral element close to the FAO recommendation. The results show that the EOs and extracts from Mentha pulegium L. had significant antimicrobial activities against the microorganisms, including five human pathogenic bacteria, one yeast ( Candida albicans ), and one phytopathogenic fungi. The in vivo anti-inflammatory activities of the leaf extracts were confirmed. The results indicate that the EOs and extracts from Mentha pulegium L. have promising applications in the pharmaceutical industries, clinical applications, and in medical research.

Published
2021
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27. Antioxidant Activity and Phenolic Content of Extracts of Wild Algerian Lingzhi or Reishi Medicinal Mushroom, Ganoderma lucidum (Agaricomycetes).

Author

Kebaili FF, Tahar N, Esseddik TM, Redouane R, Chawki B, Pablo A, and Massimiliano P

Subjects
Antioxidants, Flavonoids, Phenols, Agaricales, Reishi
Abstract

Mushrooms can be employed as functional foods or medicines for the prevention and treatment of several chronic diseases, since they are rich sources of bioactive metabolites. Nonetheless, the therapeutic value of Algerian mushrooms remains largely unexplored. To date, there are no published studies concerning the different medicinal properties of endemic Ganoderma lucidum in Algeria. This study aimed to compare the antioxidant potential of an endemic specimen collected in the Lake Tonga Forest of El Kala National Park in Northeast Algeria with findings from other countries. To this end, phenolic and flavonoid contents were determined using three solvents of increasing polarity (chloroform, ethyl acetate, and butanol). The mushroom specimen was identified as G. lucidum based on strong molecular evidence using internal transcribed spacer, large subunit, and small subunit sequences. Our study showed that ethyl acetate extract contained higher total phenolic content (171.1 ± 1.06 μg gallic acid equivalents/mg and 102.5 ± 0.69 μg pyrocatechol equivalents/mg extract) and total flavonoid content (25.48 ± 0.13 μg quercetin equivalents/mg and 40.45 ± 0.83 μg rutin equivalents/mg extract) than the other mushroom extracts (chloroform and butanolic). The ethyl acetate extract also showed good antioxidant activity in DPPH (28.51 ± 0.24 μg/mL), ABTS·+ (10.06 ± 0.13 μg/mL), galvinoxyl radical (15.46 ± 0.48 μg/mL), reducing power (22.74 ± 0.30 μg/mL), cupric reducing antioxidant capacity (21.36 ± 0.04 μg/mL), and phenanthroline (12.87 ± 0.26 μg/mL) assays. These results suggest that G. lucidum could be used as a source of strong natural antioxidants for the food and pharmaceutical industries.

Published
2021
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