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Search Results: 1 - 10 of 76 matches for " Aissa Boudjella "
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Modelling Electricity Generation and Capacity with CO2 Emissions for Sub Saharan Africa  [PDF]
Aissa Boudjella, Andrew Mugumya
Open Journal of Statistics (OJS) , 2018, DOI: 10.4236/ojs.2018.85057
Abstract: In this investigation the electricity generation and the electricity capacity of energy mix for sub Saharan Africa from 2020 to 2040 including CO2 emission from (coal, oil, gas) (Total Final Consumption, transport) and power generation were analyzed. These energy sources include conventional and renewable energy sources such as coal, oil, gas, hydro, nuclear, bioenergy, solar PV, and other renewables. We developed a linear regression equation based on the least-square method of estimation to forecast the value of energy and CO2 emission. We fit a linear trend to the energy time series including CO2
Energy Outlook in East Africa Region and the Carbon Emissions for Conventional En-ergy Projection (Part I)  [PDF]
Mwongereza Jean d’Amour, Aissa Boudjella
Journal of Power and Energy Engineering (JPEE) , 2016, DOI: 10.4236/jpee.2016.47005
Abstract:

In this investigation, we focus on the current energy sources and future projects situation in East Africa up to 2040. Electricity generation potential of energy mix and electrical capacity will be analyzed. For both electricity generation and electrical capacity, the data source shows that some forms of energies such bio-energy, solar PV, etc. will contribute less as well as with insignificant contribution of nuclear energy. Whereas hydro is dominating comparing with gas, oil, coal, solar PV, bio-energy and other renewables energies. From 2000 up to 2012, hydro and oil were only the one source of electricity generation. Starting from 2020, other forms of energies will appear and continue to increase at different rate. The international trade of electricity in this region will appear in 2020 and continue to increase as predicted by the data. Up to 2040, hydro will play a big role in electricity generation with other renewable energy sources, such as coal, oil, Gas, bio- energy and solar PV that will continue to increase at different rate. The share of solar PV in energy generation will slowly increase compared to other sources. The capacity of hydro and renewable energy sources will be high compared with other sources of energy such as bioenergy, coal, oil, PV solar, and gas. The results show also that bio-energy will increase slowly in electricity generation in comparison with other source of energies. The present report shows that oil will continue to emit a lot carbon dioxide compared to gas and coal. The emission of CO2 from total final consumption (TFC) of oil will continue to be high in comparing with CO2 emission from power generation (PG) of oil. But the emission of carbon dioxide from power generation of coal from 2025 until 2040 will be high compared with emission of CO2 generated from FTC of coal. In this period, the emission from TFC for gas will remain insignificant. The total final consumption emission of oil in general will dominate other emissions from both coal and gas. Due to this high emission of CO2, new technologies should be introduced in order to reduce gas pollution from TFC.

Non-Native English Speaker Readability Metric: Reading Speed and Comprehension  [PDF]
Aissa Boudjella, Mukti Sharma, Deepti Sharma
Journal of Applied Mathematics and Physics (JAMP) , 2017, DOI: 10.4236/jamp.2017.56107
Abstract: This paper presents an investigation to evaluate the reading speed and reading comprehension of non-native English speaking students by presenting a simple analytical model. For this purpose, various readability softwares were used to estimate the average grade level of the given texts. The relationship between the score obtained by the students and their reading speed under average grade level 9 and 14 using font size 12 and 14 is presented. The experimental results show that the reading speed and the score versus the students may be explained by a linear regression. Reading speed decreases as the score decreases. The students with a higher magnitude of reading speed scored better marks. More importantly, we find that the reading speed of our students is lower than the native English speakers. This approach of modeling the readability in linear form significantly simplifies the readability analysis.
East Africa Region Energy Projection with the Carbon Emissions for Conventional Energy  [PDF]
Aissa Boudjella, Mwongereza Jean d’Amour
Computational Water, Energy, and Environmental Engineering (CWEEE) , 2018, DOI: 10.4236/cweee.2018.72004
Abstract: In this study we analyzed the generation and the potential of the electricity capacity of energy mix in East Africa from 2020 to 2040 including CO2 emission. The predicted results show that the electricity generated from hydro will dominate compared to gas, oil, coal, Solar PV, bio-energy and other renewable energy. Some forms of energies such as bio-energy, solar PV will contribute less, while the contribution of nuclear will remain insignificant. The oil will continue to emit a lot carbon dioxides compared to the emission from gas and coal. The emission of CO2 from total final consumption (TFC) of oil will be high compared to its emission from power generation (PG) of oil. More importantly, the results show a linear relationship between the energy outlook and time. This approach of modeling the energy in a linear form simplifies significantly the analysis of the electricity generation and capacity. Due to this high emission of CO2, a new policy and a transition from conventional to renewable should be implemented with clean and energy efficiency technology.
Determining the Heavy Metal Pollution in Mascara (Algeria) by Using Casuarina equisetifolia
Lakhdari Aissa
Ecologia Balkanica , 2012,
Abstract: In this study, Casuarina equisetifolia needles were evaluated as the possible biomonitors of heavy metal air pollution in Mascara (Algeria). The needles were sampled from seven locations with different degrees of metal pollution (near roads) and from a control site. The concentrations of lead, zinc, copper and nickel were measured by using a flame atomic absorption spectrophotometer. The maximal values of these four metals were found in the samples collected near the roads and the minimal values were found in the control site. Furthermore, sites with high traffic density and frequency of cars stoppage showed high heavy metal concentrations. However, the comparison of concentrations of all metals showed that the zinc one had the highest concentration of all. The cluster analysis divided the selected sampling sites in three distinct clusters. With regard to the results of this study, Casuarina equisetifolia can be successfully applied in biomonitoring of air pollution.
Nambu-Dirac Structures on Lie Algebroids
Aissa Wade
Mathematics , 2002,
Abstract: The theory of Nambu-Poisson structures on manifolds is extended to the context of Lie algebroids, in a natural way based on the Vinogradov bracket associated with Lie algebroid cohomology. We show that, under certain assumptions, any Nambu-Poisson structure on a Lie algebroid is decomposable.Also, we introduce the concept of a higher order Dirac structure on a Lie algebroid. This allows to describe both Nambu-Poisson structures on Lie algebroids and Dirac structures on manifolds in the same setting.
Optimal M-BCJR Turbo Decoding: The Z-MAP Algorithm  [PDF]
Aissa Ouardi, Ali Djebbari, Boubakar Seddik Bouazza
Wireless Engineering and Technology (WET) , 2011, DOI: 10.4236/wet.2011.24031
Abstract: In this paper, we propose a novel idea for improvement performances of the leader M-BCJR algorithm functioning in low complexity. The basic idea consists to localize error instant possibility, and then increase the complexity around this moment. We also propose an easy and important idea for early localisation of erroneous moments. We call this new algorithm Z-MAP. The simulations show that the improvement of performances is significant. The performances of Z-MAP turbo decoding are so close to full MAP-BCJR performances. Furthermore, the complexity is the same that of the M-BCJR. So, Z-MAP is an optimal version of M-BCJR algorithm.
Biometric Signature of Private Key by Reliable Iris Recognition Based on Flexible-ICA Algorithm  [PDF]
Aissa Boukhari, Salim Chitroub, Imen Bouraoui
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2011, DOI: 10.4236/ijcns.2011.432096
Abstract: The numerical world is under a fast development generating facilities and threats. The recommended solutions are especially the protection of information in all its states. The levels of protection show a discrepancy from an application to another; governmental, commercial or even cybercriminal. The infrastructure used in modern cryptography is based on public key cryptosystem. The problem is how to make safe the private key and to memorize it without difficulties and damages. This paper introduces a biometric solution of owner signature generating an encryption of the key using the iris recognition kept in a smart card. Several precautions were taken to guarantee the safety and the availability of the use of the private key. They are two essential goals to attest: the quality of the service and the robustness of suggested safety. Being the quality of the service, the used iris recognition is based on a new emerging method founded on Flexible-ICA algorithm. This method offers a better Equal Error rate compared to other methods previously used. This quality of recognition was also reinforced by an encoding of error using a flag and finally Reed Solomon encoder. For recommended safety, a scheme based on block encryption is used. The proposed scheme is Propagating Cipher Block chaining which offers a very propagation of a high level of confusion and diffusion. Indeed, the robustness of this cryptographic process was studied by setting up strict criteria of safety.
Modelling and Simulation of Static Var Compensator (SVC) in Power System Studies by MATLAB
Houari BOUDJELLA,Fatima Zohra GHERBI,Fatiha LAKDJA
Annals of Dunarea de Jos , 2008,
Abstract: This paper presents the modelling and simulation of Static Var Compensator (SVC) in power system studies by MATLAB. In the first step, we have modeled mathematically with MathCAD how to analyze the rating of SVC (Boudjella, 2008). In second step, we have conferred modelling of SVC in power system to analyze its behaviour operating with in control range and outside of control range and how to perform power system studies which is anchored with load flow analysis for SVC realization. In the third step, we have been modelling separately the SVC transfer functions with open control loop in the respective control elements: measuring module, thyristor susceptance control module and voltage regulator module, and we have used lag/led compensators theories to configure open and close loop transfer function with respective gain/phase margin. At the final step, we have controlled the voltage and the reactive power transit in the power system, by SVC device.
Filosofia e Educa o na Forma o Contemporanea
Aissa Afonso Guimar?es
Princípios : Revista de Filosofia , 2001,
Abstract:
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