DSpace at UMBB
The institutional repository of the University M'Hamed Bougara Of Boumerdes is a digital archive that contains the scientific output of the University. Dspace manages, preserves and provides access to the academic works of UMBB.
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Recent Submissions
Asymptotic Properties of the Location-Scale Regression Estimators for Left Truncated Data
(Austrian Statistical Society, 2026) Aliouche, Saloua; Sadki, Ourida; Benseradj, Hassiba
In this paper, we construct a nonparametric M-estimator of a regression function for a left truncated model when the data exhibit some kind of dependence. It is assumed that the observations form a stationary
-mixing sequence. Under appropriate assumptions, we establish weak and strong consistency of the estimator as well as its asymptotic normality. Finite sample behavior of the estimators shows that the M-estimator is more robust than the Nadaraya–Watson type estimator
Synthesis and characterisation of Fe-doped TiO2 films on soda–lime glass: effect of pure TiO2 interlayer as a diffusion barrier toward photocatalytic applications
(Elsevier, 2026) Zerrouk, Imededdine; Bensouici, Faycal; Benyakhlef, Mustafa; Boultif, Ayache
The present study examines undoped and iron doped titanium dioxide (Fe-doped TiO2) thin films prepared by the sol–gel dip-coating method and deposited on soda-lime glass (SLG) substrates. An interlayer of pure TiO2 was placed between Fe-doped TiO2 and the SLG substrate with different Fe concentrations The structural, microstructural, and optical properties of the films were investigated, and their photocatalytic performance was assessed. The results of X-ray diffraction (XRD) analysis indicated that all the samples are crystallized in the tetragonal anatase structure. Scanning electron microscopy (SEM) observations revealed that all films are characterized by a granular nanostructure with nanometer-grain size . The Fourier-transform infrared spectroscopy (FTIR) data confirmed that there are Ti–O bonds involved in a chain [Ti–O–Ti–O–Ti–O] with isolated Ti–O bonds. The optical measurements have shown a good transparency increase with Fe doping, whereas the energy band gap has slightly decreased. The samples with 0.2 and 0.4 at% Fe-doped TiO2 thin films and the interlayer of pure TiO2 displayed an enhanced photocatalytic activity.
Enhanced Flicker-Free Single-Stage LED Driver Using Fractional-Order PID (FOPID) Control
(Institute of Electrical and Electronics Engineers, 2025) Idir, Abdelhakim; Boukhalfa, Abdelouaheb; Canale, Laurent
LED lighting has become the dominant illumination technology due to its high efficiency and long operational lifetime. However, power supply quality plays a critical role in photometric stability and visual comfort, as low-frequency current ripple (flicker) can cause visual fatigue and degraded visual performance. Conventional flicker-free LED drivers commonly rely on Proportional-Resonant (PR) controllers to shape the input current and ensure power factor correction. Despite their effectiveness, PR controllers exhibit limited flexibility and are unable to fully suppress the 100 Hz ripple introduced by the LED load, particularly under input voltage and parameter variations. To address these limitations, this paper proposes the replacement of the PR controller with a Fractional-Order PID (FOPID) controller in the ripple compensation loop of a single-stage LLC LED driver. By introducing fractional integral and derivative orders, the proposed control strategy enhances tuning flexibility, improves dynamic response, and increases robustness. Simulation results obtained using a 120 W LED driver model demonstrate superior input current tracking with reduced harmonic distortion, significant attenuation of low-frequency ripple in both LED current and voltage, and improved stability under varying input voltage conditions. Compared with the PR-controlled scheme, the proposed FOPID-based driver achieves smoother output waveforms, faster transient response, and enhanced flicker suppression, confirming its effectiveness for high-performance, single-stage flicker-free LED driving applications
Deep CNN vs. Transfer Learning: A Comparative Study on Multi-Script Identification
(Institute of Electrical and Electronics Engineers, 2026) Gattal, Abdeljalil; Menassel, Yahia; Abbas, Faycel
This research presents a comparative analysis of deep learning models for script identification in word images. We investigate the efficacy of a purpose-built Convolutional Neural Network (CNN), “Modified YafNet,” trained from scratch, versus conventional transfer learning methodologies. The models were benchmarked using the ICDAR 2021 Script Identification in the Wild (SIW) dataset, which features a mix of handwritten and printed scripts. Our findings indicate that the Modified YafNet architecture achieves superior performance metrics, including high classification accuracy and ROC AUC scores. The study also demonstrates that performance is significantly enhanced through data augmentation and the inclusion of external data, highlighting the model's robustness for deployment in OCR and document processing pipelines
Atmospheric Emissions of Volatile Organic Compounds From a Solvent Paint Sludge - Chemical Identification and Quantification .
(Faculty of Sciences M’hamed Bougara University Boumerdes, 2025) Metali, A; Ziati, M; Camselle, C; Gouveia, S
Solvent based paint sludge contains volatile organic compounds (VOCs) that negatively impact both ecosystems and human health. These VOCs contribute to ground-level ozone formation and are key precursors in the creation of secondary organic pollutants in the atmosphere. There are limited studies that quantify the gaseous compounds released from solvent based paint sludge. In this context, we conducted our experimental study on detection of gaseous emission from paint sludge samples taken from an Algerian paint industry, in both short and long period of storage. Results revealed that paint sludge samples emitted a wide range of VOCs; over 36 compounds were identified, quantified and classified into different chemical groups. Among the compounds identified, aliphatic hydrocarbons, aromatic hydrocarbons, esters, ketones and alkanes. The collected sample from the waste storage area(PS2)contains a higher concentration of oxygenated compounds than those collected in the regeneration station (PS1) and in the waste storage chamber (PS3). Therefore, the gas emitted from paint sludge increased depending on the type and duration of storage. Given that many of the identified VOCs are carcinogenic, toxic, or harmful by inhalation, it is essential to regulate gas emissions during waste management and treatment.