Ziane Achour University of Djelfa

Djelfa, Algeria
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Adamou-Mitiche A.B.H.,Ziane Achour University of Djelfa | Mitiche L.,Ziane Achour University of Djelfa
IEEE Transactions on Industrial Electronics | Year: 2017

The aim of this letter is the construction of a new model order reduction algorithm generalized to the multi-input/multi-output systems model order reduction. It is essentially based on the complete order model dominant modes retention. This involves the conversion of the overall significant information contained in the original complete order system into the reduced order approximant, permitting the construction of our approximant denominator. The approximant numerator is computed by means of genetic algorithm (GA) tools and a square error criterion. As a result, an optimal approximant of lower order is derived. To show its performances, to highlight some important of its characteristics, and to conclude to its efficiency, a comparative study is carried out. A numerical example is given, where our approximant model is compared to reduced order models computed from two recent and important techniques based on GA tools, namely, the stability equation and the modified pole clustering techniques. © 1982-2012 IEEE.

Guettala S.,Ziane Achour University of Djelfa | Mezghiche B.,University Mohamed Khider of Biskra
Construction and Building Materials | Year: 2011

This experimental work has focused on studying the possibility of using dune sand powder (DSP) as a part mass addition to Portland cement. Studying the effect of addition dune sand powder on development of compressive strength and hydration with age of cement pastes as a function of water/binder ratio, was varied, on the one hand, the percentage of the dune sand powder (physico-chemical and chemical effect) and on the other, the fineness of dune sand powder (physical effect). In order to understand better the chemical effect (pozzolanic effect) of dune sand powder in cement pastes, we followed the mixtures hydration (50% pure lime + 50% DSP) by X-ray diffraction. These mixtures pastes present a hydraulic setting which is due to the formation of a C-S-H phase (calcium silicate hydrate). The latter is semi-crystallized. This study is a simplified approach to that of the mixtures (80% ordinary Portland cement + 20% DSP), in which the main reaction is the fixing of the lime coming from the cement hydration in the presence of the dune sand powder (pozzolanic reaction), to form calcium silicate hydrate C-S-H semi-crystallized of second generation. The results proved that up to 20% of dune sand powder as Portland cement replacement could be used with a fineness of 4000 cm2/g without affecting adversely the compressive strength. The dune sand powder, despite its crystalline nature, presents a partial pozzolanic reactivity. © 2010 Elsevier Ltd. All rights reserved.

Azzouzi M.,Ziane Achour University of Djelfa
Control Engineering and Applied Informatics | Year: 2013

The aim of this work is to apply the Maximum Power Point Tracking (MPPT) principle, to optimize the yield of the solar panel. For this, one used MatLab/Simulink software package to apply the Perturbed & Observer Algorithm of optimization on this panel which is supplied by a Boost converter. The results of the characterization of the modeling of the electrical characteristics of the photovoltaic (PV) panels have been presented in function of the illumination. The voltage and the power of the panel as well as the battery, and the duty cycle are well presented and analyzed to find the Maximal Power Point in function of luminosity and temperature, the results have been compared between a standard panel and a MPPT controlled panel.

Nedjimi B.,Ziane Achour University of Djelfa
Rangeland Journal | Year: 2016

Lygeum spartum L. (Poaceae) is a perennial native grass grown throughout arid and semi-arid regions around the West Mediterranean basin. In terms of pastoral use, its associations with other annual species and small chamaephytes constitute a valuable source of livestock forage. L. spartum, which has an extensive root system, reduces soil erosion and enhances soil stabilisation. The leaves contain many fibres, producing a material suitable for basket manufacture. This plant species can also be used in the phytoremediation of contaminated soils. Published work on the research and development of this species is meagre. This article represents an effort to compile the literature on L. spartum and to review the current understanding of this plant and its potential as an alternative source of fodder during periods of forage scarcity, for traditional craftsmen, for phytoremediation and for rangeland rehabilitation purposes. © 2016 Australian Rangeland Society.

Cherroun L.,Ziane Achour University of Djelfa
3rd International Conference on Control, Engineering and Information Technology, CEIT 2015 | Year: 2015

This paper describes the use of soft computing approaches to the robot behavior design. In many applications, the robot's environment changes with time in a way that is not predictable by the designer in advance. In addition, the knowledge about the environment is often imprecise and incomplete due to the limited perceptual quality of sensors. In order to equip the robot by capacity of autonomy and intelligence in its environment, the control system must perform much complex information and processing tasks in real time, and it is well suited to use the soft-computing techniques. The objective of this paper is to elaborate and compare simple intelligent control systems for the path following behavior by an autonomous mobile robot using the most known approaches of the artificial intelligence science: fuzzy, neuro and neuro-fuzzy controllers. The proposed controllers are used for pursuing a moving target. The obtained simulation results show the effectiveness of the designed controllers. The results are discussed and compared. © 2015 IEEE.

Kouzou A.,Ziane Achour University of Djelfa
2015 4th International Conference on Electric Power and Energy Conversion Systems, EPECS 2015 | Year: 2015

The present paper deals mainly with the application of the Selective Harmonic Elimination Pulse width Modulation SHE-PWM to Four-legs Multi-level DC/AC Converter based on an off-line meta-heuristic optimization algorithm. The main aim is to achieve the requirement of the elimination of the low order harmonics contained in the three-phases output voltages and the elimination of the zero component voltage at the terminals of the three-phase load independently of the nature of the load. The problem of the SHE-PWM is presented by a two constrained nonlinear objective functions that allow the calculation of the switching angles vector solution presenting the best minimal value for the objective functions independently. The results obtained with the present application show the effectiveness of the use of the SHE-PWM based on the Particle Swarm Optimization (PSO) to ensure the improvement of the output voltage quality of Four-legs Multi-level DC/AC Converter for four-wires power supply applications under simple and ease practical requirements. © 2015 IEEE.

Boukezzi L.,Ziane Achour University of Djelfa | Boubakeur A.,Lre High Voltage Laboratory
IEEE Transactions on Dielectrics and Electrical Insulation | Year: 2013

The widespread use of Cross-linked Polyethylene (XLPE) as insulation in the manufacturing of medium and high voltage cables may be attributed to its outstanding mechanical and electrical properties. However, it is well known that degradation under service conditions is the major problem in the use of XLPE as insulation in cables. In order to reduce the aging experiments time, we have used Artificial Neural Networks (ANN) to predict the insulation properties. The proposed networks are supervised and non supervised neural networks. The supervised neural network was based on Radial Basis Function Gaussian (RBFG) and was trained with two algorithms: Backpropagation (BP) and Random Optimization Method (ROM). The non supervised neural network was based on the use of Kohonen Map. All these neural networks present good quality of prediction. © 2013 IEEE.

Rabehi M.,Ziane Achour University of Djelfa | Rabehi M.,University Mohamed Khider of Biskra | Mezghiche B.,University Mohamed Khider of Biskra | Guettala S.,Ziane Achour University of Djelfa | Guettala S.,University Mohamed Khider of Biskra
Construction and Building Materials | Year: 2013

This experimental work was aimed to characterize the porosity of the concrete cover zone using the capillary absorption test, and establish the links between open porosity characterized by the initial absorption, the compressive strength and carbonation depth. Eight formulations of workability similar made from ordinary Portland cement (CEM I 42.5) and a compound cement (CEM II/B 42.5) four of each type are studied. The results allow us to highlight the effect of the cement type. Indeed, concretes-based cement CEM II/B 42.5 carbonatent approximately faster than concretes-based cement CEM I 42.5. This effect is attributed in part to the lower content of portlandite Ca(OH)2 of concretes-based cement CEM II/B 42.5, but also the impact of the cement type on the open porosity of the cover concrete. The open porosity of concretes-based cement CEM I 42.5 is lower than that of concretes-based cement CEM II/B 42.5. The carbonation depth is a decreasing function of the compressive strength at 28 days and increases with the initial absorption. Through the results obtained, correlations between the quantity of water absorbed in 1 h, the carbonation depth at 180 days and the compressive strength at 28 days were performed in an acceptable manner.

Nedjimi B.,Ziane Achour University of Djelfa
Biochemical Systematics and Ecology | Year: 2014

The species of the genus Atriplex have been introduced in West Asia and North Africa to determine their adaptability for use as fodder species. These halophytes are well adapted to extreme environmental conditions and may possess interesting properties for soil rehabilitation. The effect of NaCl stress on growth, water relation and mineral nutrition were investigated in three xero-halophyte species of Atriplex used for rehabilitation of arid steppe in Algeria. Atriplex halimus, Atriplex canescens and Atriplex nummularia, were cultivated in hydroponic conditions and treated with increasing doses of NaCl (0-300mM). All species showed positive plant growth for low and moderate levels of salinity. A. halimus had higher dry weight production than A. nummularia and A. canescens in high salinity concentration. Increasing concentration of salinity induced decrease in chlorophyll content (Chl a and b) and root hydraulic conductivity (L0) in all species, especially in A. canescens. All three species showed marked increase in electrolyte leakage across the salinity gradient. In addition all species were able to accumulate a large quantity of sodium (Na), chloride (Cl) and proline and to maintain higher relative water content, which was probably associated with a greater capacity for osmotic adjustment, whereas potassium (K) and calcium (Ca) decreased with increase salinity. The data suggest that salt tolerance strategies in all Atriplex species could involve a delicate balance among ion accumulation, osmotic adjustment, production of osmotica and maintenance of relative water content and growth. © 2013 Elsevier Ltd.

Mouissa H.,Ziane Achour University of Djelfa | Fournier R.A.,Université de Sherbrooke
Journal of Arid Environments | Year: 2013

We developed an approach using remote sensing and modeling, applicable to Algerian forest inventory, for estimating the volume of timber in Aleppo pine stands. We used ordinary linear regression (OLR) and reduced major axis (RMA) regression to assess an operational model to map stand volume from satellite images. Our analysis was supported by measurements from 151 sample plots and spectral values from remote sensing imagery. Fifteen candidate models were tested through the Akaike Information Criterion to assess their predictive power. For the 2009 Landsat TM image, we found that the best models for both regression methods used the NDVI as the independent variable. The RMSEs were 20.3% (16.10 m3 ha-1) and 22.5% (17.83 m3 ha-1), respectively, for OLR and RMA. We chose the RMA regression models because they had realistic standard deviation values for the estimated volumes, and they gave lower RMSEs in volume classes over 40 m3 ha-1. Our method gave similar results for two other images, which demonstrated that our approach was robust when applied to data from a different year (2006 Landsat TM), but from the same sensor, and also to data from a different sensor (2005 Alsat-1). © 2013 Elsevier Ltd.

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