110 research outputs found
Repetition: A Process of Destroying the Narrative Unity in Abdelkader Djemais Saison De Pierres
No full textIn Saison de pierres Abdelkader Djemai makes the repetition process one of his principles of composition narrative sequences are repeated repeating themselves thus openly provoking the traditional novel The reader at first glance thinks he is reading the same text but after concentration there are many variations between the two narrative passages By using the repetition process Abdelkader Djemai wants to introduce a new reflex in the reader to test his memory by using his insight and intelligence Repetition allows the author to say and repeat in several copies the same idea the same event the same experience offering a multitude of perspectives and invoking maximum concentratio
The Image of the Ego through the Narration of History in Henry Churchill's Biography of Emir Abdelkader
No full textAbstract: This study aims to highlight the image of Emir Abdelkader in the writings of others, through the book “The Life of the Prince” by Henry Churchill, in which the author explores the details of the life of Emir Abdelkader, and recounts different details of his struggle during the resistance against French colonialism, after his surrender and moving to his voluntary exile, where he stayed there for the end of his life.In addition to providing an overview of the difference in the form of the portrayal of Emir Abdelkader between what is contained in this book and some French colonialist writings. We found that the author presented a more objective picture of the Emir's personality, closer to the reality of objective historical details, and away from the fanaticism of French writers governed by their colonialist inclination. Therefore, this work poses a fundamental question: How was Emir Abdelkader portrayed through his biography in the book The Prince's Life by Henry Churchill? What was the image of Algerians in the shadow of the Emir's life and biographical details during and after the resistance against French colonialism?
Keywords: Emir Abdelkader; Henry Churchill; Surrealism; Biography; Colonial Ideology
Erratum: Marzouk, M., et al. Assessing Environmental Impact Indicators in Road Construction Projects in Developing Countries. Sustainability 2017, 9, 843
No full textThe authors of this paper [1] have agreed they would like to add Eslam Mohammed Abdelkader as the second co-author, as he made a significant contribution to the research methodology [...]</jats:p
floor-planning avec des nouvelles techniques d‟optimisation pour les CPLDs
Full text linkLe présent article à pour but de présenter des techniques novatrice de synthèse, pour les CPLDs dont l‟architecture est basée sur les Macrocellules. Et ce dans le but de minimiser le nombre de Macrocellules nécessaires à l‟implantation d‟un circuit, Avec tous les avantages qui en découlent, En l‟occurrence, la réduction de la surface utilisée et l‟amélioration de la performance temporelle du circuit. Pour cela, on propose une approche nouvelle basée sur l‟utilisation simultanée de quatre techniques de synthèse sur un seul et même circuit : en premier lieu la détection du XOR, qui consiste à remplacer une large somme de monômes en une expression réduite et équivalente impliquant la porte XOR. Vient ensuite la technique de duplication logique, a pour principe de placer une fonction primaire combinatoire et un noeud séquentiel enterré de cout logique unitaire dans une et même Macrocellule La technique de foldback, quant à elle, permet de déterminer si un cluster foldback peut être affecté à un bloc PAL, le cluster foldback est définit comme un ensemble de fonction et sous fonctions possédant une somme de littéraux (terme foldback) commune, En dernier lieu vient le choix du complément, qui nous permet de d‟utiliser l‟expression la plus optimisé entre une fonction et son complément. Ces techniques ont été appliquées sur un certain nombre de cas qui ont donné lieu à des gains en termes de surface allant jusqu'à cinquante cinq pourcent
Comparative study of the implementation of the Lagrange interpolation algorithm on GPU and CPU using CUDA to compute the density of a material at different temperatures
Full text linkGraphics Processing Units (GPUs) are microprocessors attached to graphics cards, which are dedicated to the operation of displaying and manipulating graphics data. Currently, such graphics cards (GPUs) occupy all modern graphics cards. In a few years, these microprocessors have become potent tools for massively parallel computing. Such processors are practical instruments that serve in developing several fields like image processing, video and audio encoding and decoding, the resolution of a physical system with one or more unknowns. Their advantages: faster processing and consumption of less energy than the power of the central processing unit (CPU). In this paper, we will define and implement the Lagrange polynomial interpolation method on GPU and CPU to calculate the sodium density at different temperatures Ti using the NVIDIA CUDA C parallel programming model. It can increase computational performance by harnessing the power of the GPU. The objective of this study is to compare the performance of the implementation of the Lagrange interpolation method on CPU and GPU processors and to deduce the efficiency of the use of GPUs for parallel computing
Abdelkader Lagtaâ and his conceptual exercises in Poland, 1972-74
No full textThis article focuses on conceptual practices by Moroccan artist Abdelkader Lagtaâ, whose early 1970s work, created as a part of Polish conceptual milieus in Łódź and Warsaw, remains undocumented in art-historical scholarship. The author rediscovers Lagtaâ's practices as part of conceptual strategies in Eastern Europe and discusses his work in relation to Okwui Enwezor's article "Where, What, Who, When: A Few Notes on 'African' Conceptualism." The author argues that while Enwezor and, later, other scholars, including Olu Oguibe and Salah M. Hassan, critique the work by African conceptualists to and through conceptualist strategies prevalent in Africa and the West, Lagtaâ's work was almost entirely situated in the linguistic, performative, new media, and mail art experiments characteristic of Eastern Europe. While the work of conceptual artists from the African continent identified by Enwezor remained on the margins, outside of international and noninstitutional artistic circuits, Lagtaâ's work was an intrinsic part of the early 1970s collective experiments and transnational networks of artistic exchange between Eastern Europe and other geographical regions
De vertaler als (co-)auteur? De Italiaanse vertaling van Abdelkader Benali’s De Langverwachte
Full text linkThis contribution seeks to analyse the complex and fascinating translation process of Abdelkader Benali’s award-winning novel De Langverwachte (Vassallucci 2003) into Italian. Due to a combination of professional and personal circumstances, Benali gave the Italian translator Claudia Di Palermo the total freedom to edit the novel. For example, the Italian translation, La Lunga Attesa (Fazi 2005), underwent an editing process in which, among other things, the number of chapters was reduced from 58 to 47. In the analysis, the profiles of the author and the translator will first be outlined. Subsequently, the most important reasons for the editing process will be explained on the basis of an interview with the translator. Finally, the four translation strategies are explained by referring to Di Palermo’s personal notes. These are: separation, merging, deletion and addition
Optimal active and reactive power dispatch in the presence of wind farms using voltage indicators and metaheuristic methods
Full text linkWind power plants penetration into power grids has grown considerably due to the fact of being cheap and clean. As a result, many countries require that the wind turbines must be capable of offering ancillary services such as reactive power control and voltage regulation. Furthermore, some voltage stability indices rely on both reactive and active power; consequently, it is useful to take also into account the active power during the planning stage so as to fulfil the load requirement and to enhance the voltage stability. The present study intends to present an optimization algorithm permitting to diminish the electrical losses and enhance the voltage profile by getting the fittest allocation of active power production of traditional generators and wind power plants. Besides, wind farms reactive power injection is determined. To verify the proposed algorithm, a 40 MW wind farm (WF) made up of doubly fed induction generator (DFIG) and the 14 IEEE bus system are used. In the case study, three different metaheuristic methods are used to resolve the objective function. Finally, the simulation results are reported
Real-Time Adaptive Neural Network on FPGA: Enhancing Adaptability through Dynamic Classifier Selection
Full text linkThis research studies an adaptive neural network with a Dynamic Classifier Selection framework on Field-Programmable Gate Arrays (FPGAs). The evaluations are conducted across three different datasets. By adjusting parameters, the architecture surpasses all models in the ensemble set in accuracy and shows an improvement of up to 8% compared to a singular neural network implementation. The research also emphasizes considerable resource savings of up to 109.28%, achieved via partial reconfiguration rather than a traditional fixed approach. Such improved efficiency suggests that the architecture is ideal for settings limited by computational capacity, like in edge computing scenarios. The collected data highlights the architecture\u27s two main benefits: high performance and real-world application, signifying a notable input to FPGA-based ensemble learning methods
NeuroAdaptiveNet: A Reconfigurable FPGA-Based Neural Network System with Dynamic Model Selection
No full textThis paper presents NeuroAdaptiveNet, an FPGA-based neural network framework that dynamically self-adjusts its architectural configurations in real time to maximize performance across diverse datasets. The core innovation is a Dynamic Classifier Selection mechanism, which harnesses the k-Nearest Centroid algorithm to identify the most competent neural network model for each incoming data sample. By adaptively selecting the most suitable model configuration, NeuroAdaptiveNet achieves significantly improved classification accuracy and optimized resource usage compared to conventional, statically configured neural networks. Experimental results on four datasets demonstrate that NeuroAdaptiveNet can reduce FPGA resource utilization by as much as 52.85%, increase classification accuracy by 4.31%, and lower power consumption by up to 24.5%. These gains illustrate the clear advantage of real-time, per-input reconfiguration over static designs. These advantages are particularly crucial for edge computing and embedded applications, where computational constraints and energy efficiency are paramount. The ability of NeuroAdaptiveNet to tailor its neural network parameters and architecture on a per-input basis paves the way for more efficient and accurate AI solutions in resource-constrained environments
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