Faculty of sciences and technology

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    1-Formyl-3-phenyl-5-(4-isopropylphenyl)-2-pyrazoline: Synthesis, characterization, antimicrobial activity and DFT studies
    (2016-05-13) Amel Messai
    The structure of 1-formyl-3-phenyl-5-(4-isopropylphenyl)-2-pyrazoline synthesized as single crystal was investigated by FTIR, NMR, XRD. Experimental data were complemented by quantum mechanical calculations. XRD data show that the compound crystallizes in the triclinic system (P 1) via trans isomer (a ¼ 6.4267(4) Å, b ¼ 10.9259(12) Å, c ¼ 12.4628(9) Å and a ¼ 102.894(8) , b ¼ 102.535(6) , g ¼ 101.633(7) ). Anti-microbial screening results indicate that the compound shows promising activity. The theoretically predicted and experimentally obtained parameters reveal further insight into pyrazoline systems
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    1ères journées nationals d’étude sur la chimie théorique et ses applications JCTA1-21
    (Université de Khenchela, 2021-12-13) Lekmine Farid
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    1st year computer science/Mathematic Subject: Free software/Final Exam(Correction)
    (2026) Department of Mathematics & Computer Science
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    4-Methylanilinium nitrate
    (2009) BOUSSEKINE
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    (4S)-4-Benzyl-N-{[(4S)-4-benzyl-2-oxo-1,3-oxazolidin-3yl]sulfonyl}-2-oxo-1,3-oxazolidine-3-carboxamide
    (2010-06-01) Malika Berredjem
    The title compound, C 21 H 21 N 3 O S, contains an oxazolidinone ring and a sulfonamide group, both characteristic for biologically and pharrmaceutically active compounds. Both stereogenic centres reveal an S absolute configuration. The two oxazolidinone rings are in an envelope conformation with the methylene carbon flap atoms deviating by 0.428 (1) and 0.364 (2) A 7 ˚ from the best least-square planes formed by the four other ring atoms. An intramolecular N—H O hydrogen bond contributes to the folded conformation of the molecule. In the crystal, weak intermolecular C—H O interactions connect the molecules into helices along the the twofold screw axes.
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    A Category-theoretic Approach to Organization-based Modeling of Multi Agent Systems on the Basis of Collective Phenomena and Organizations in Human Societies
    (2016-06-30) Abderrahim Siam
    This paper presents an idea of using category theory for developing organizational multi-agent systems by taking inspiration from collective phenomena and organizations in human societies. Category theory is used for studying and formalizing organizations and collective phenomena in human societies with the aim of capturing their logics into categorical models. Afterward, the captured models are mapped categorically to categorical MAS organizational models. This way of thinking allows studying properties of result MAS organizational models as well as properties of organizations in human societies such as stability and adaptation before taking them as landmarks for developing MAS organizational models.
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    A comparative study of two novel unsymmetrically substituted triazacyclohexanes
    (2017-03-06) Amel Messai
    ovel unsymmetrically N-substituted N,N0-R1N00-R2-1,3,5-triazacyclohexanes (1b and 2b; R1 ¼ p-chlorophenyl or p-methoxyphenyl and R2 ¼ butyl or cyclohexyl) have been synthesized in a good yield from condensation reaction by excess amine. Both triazacyclohexane rings have chair conformation. However, 1b adopts diaxial orientation of aryl groups and an equatorial form of alkyl group whereas 2b prefers an axial orientation of the alkyl group and diequatorial forms of aryl groups. 1b is consolidated by weak CH/p interactions. Intra-molecular C-H/O or C-H/N hydrogen bonds and C-H/p may be effective in the stabilization of 2b. Both compounds have showed moderate antimicrobial activity, but 1b exhibits higher activity than 2b. All experimental results are found in good support to theoretical data. Findings of research may be helpful guide for the medicinal chemists and the field is further open for pharmacokinetics studies.
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    A comparative study of two novel unsymmetrically substituted triazacyclohexanes
    (2017-02-27) Hanane Lamraoui
    Novel unsymmetrically N-substituted N,N0-R1N00-R2-1,3,5-triazacyclohexanes (1b and 2b; R1 ¼ p-chlorophenyl or p-methoxyphenyl and R2 ¼ butyl or cyclohexyl) have been synthesized in a good yield from condensation reaction by excess amine. Both triazacyclohexane rings have chair conformation. However, 1b adopts diaxial orientation of aryl groups and an equatorial form of alkyl group whereas 2b prefers an axial orientation of the alkyl group and diequatorial forms of aryl groups. 1b is consolidated by weak CH/p interactions. Intra-molecular C-H/O or C-H/N hydrogen bonds and C-H/p may be effective in the stabilization of 2b. Both compounds have showed moderate antimicrobial activity, but 1b exhibits higher activity than 2b. All experimental results are found in good support to theoretical data. Findings of research may be helpful guide for the medicinal chemists and the field is further open for pharmacokinetics studies.
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    A comparative study of two polymorphs of L-aspartic acid hydrochloride
    (2014-06-05) Rim Benali-Cherif; Takouachet Radhwnae; Nourredine Benali-Cherif
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    A Comparative Theoretical and Spectroscopic Study of Aminomethylbenzoic Acid Derivatives as Potential NLO Candidates †
    (2020-12-25) Amani Direm
    Three aminomethylbenzoic acid derivatives were theoretically studied at M062X/6-311++G(d,p) level in a vacuum, namely 2-ammonio-5-methylcarboxybenzene perchlorate (1), 4-(ammoniomethyl) carboxybenzene nitrate (2) and 4-(ammoniomethyl)carboxybenze perchlorate (3). The compounds’ structures were fully optimized and compared with the single-crystal X-ray diffraction results, showing a very close agreement with the experimental structural parameters. Their IR, 1H- and 13C-NMR spectra were calculated and examined in detail. Furthermore, the molecular electrostatic potential (MEP) maps of the studied compounds were investigated and the strength of the non-covalent interactions evaluated. In addition to these results, the NLO properties of the three compounds were p
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    A coordinate approach in intrusion detection systems
    (2022)  M. Bouchareb Abir Nihal  M. Hanou Selma
    With the evolution of computer, information and networks, the vulnerability to intrusions has increased. In order to face this phenomenon, several works and researches were born. The main objective of this study is the detection of intrusion to secure a local network by using a network of IDSs based on multi-agent systems and an Open Source IDS, which is the SNORT. In this work we propose a coordinate approach in intrusion detection, that have combined the use of several technologies, among other the development of distributed applications, consultation of a database (JDBC), and intrusion detection systems.
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    A coordinate approach in intrusion detection systems
    (2021) M. Bouchareb Abir Nihal M. Hanou Selma
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    A Discrete Crow Search Algorithm for Mining Quantitative Association Rules
    (2021) Abderrahim Siam
    Associationrulesarethespecificdataminingmethodsaimingtodiscoverexplicitrelationsbetweenthe differentattributesinalargedataset.However,inreality,severaldatasetsmaycontainbothnumericand categoricalattributes.Recently,manymeta-heuristicalgorithmsthatmimicthenaturearedeveloped forsolvingcontinuousproblems.Thisarticleproposesanewalgorithm,DCSA-QAR,formining quantitativeassociationrulesbasedoncrowsearchalgorithm(CSA).Toaccomplishthis,newoperators aredefinedtoincreasetheabilitytoexplorethesearchingspaceandensurethetransitionfromthe continuoustothediscreteversionofCSA.Moreover,anewdiscretizationalgorithmisadoptedfor numericalattributestakingintoaccountdependenciesprobablythatexistbetweenattributes.Finally, toevaluatetheperformance,DCSA-QARiscomparedwithparticleswarmoptimizationandmono andmulti-objectiveevolutionaryapproachesforminingassociationrules.Theresultsobtainedover real-worlddatasetsshowtheoutstandingperformanceofDCSA-QARintermsofqualitymeasures.
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    A Low-Cost Platform for Real Time Data Acquisition and Fractional Control with Application to a DC motor
    (International Journal of Power Electronics and Drive Systems (IJPEDS), 2023-10-01) Abdel Fettah Berkani, Hemza; Keziz, Bouziane; Lashab, Mohamed; Djouambi, Abdelbaki; Kerrouche, Abdelfateh
    This paper presents a low-cost experimental platform for real time data acquisition, identification and fractional order control of some low dynamic systems via Arduino-Simulink interface. As a demonstrative example, a DC motor is considered and modelled as a First Order Plus Time Delay Plant (FOPTD) using data acquisition-based Arduino. Then, simple analytical rules are used to design a robust Fractional Order Controller (FOC) which require a high computing power. Several validation tests of the FOC have been curried out via Arduino–Simulink interface. The experimental results, compared with those obtained with theoretical simulation; confirm that the proposed interface can be used to support research and teaching feedback control systems via experimental investigations on a low-cost laboratory kit.
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    A Method based on Multi-agent Systems and Passive Replication Technique for Predicting Failures in Cloud Computing
    (Bentham Science Publishers, 2023-11-01) Hioual Ouided; Hioual Ouassila; Hemam Sofiane Mounine; Maifi Lyes
    Cloud computing refers to the computing capacities of remote computers, where the user has considerable computing power without having to own power units. The probability of failures, which can occur during execution, increases in the number of nodes. Since failures cannot be completely avoided, one solution is to use failure tolerance mechanisms. Predicting failures has become a major task for engineers and software developers, as failure increases resource usage costs. Objectives and Methods: This paper presents a hybrid method of predicting failures in a cloudcomputing environment based on the passive replication technique and multi-agent systems. It detects failures, improves the average response time and minimizes lost time. This method makes it possible to efficiently and transparently guarantee the continuity of cloud computing services in the presence of failures. Results: The results show that the proposed method performs well in the presence of failures, improves the response time and minimizes the additional costs caused by the failures. Conclusion: This paper proposes a hybrid method of predicting failures in cloud-computing based on the passive replication technique and multi-agent systems to detect failures and minimize lost time. The replication technique works by duplicating some system components, which are deployed simultaneously across different resources. This technique aims to make the system robust, increase availability and guarantee the execution of jobs. In addition, it is suitable for long-running tasks.
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    A Modular Support Vector Machine for Active Learning of Urban Remote Sensing Images Classification in Algeria
    (Springer - Journal of the Indian Society of Remote Sensing, 2018) Fouzi Douak
    In this work, we present a new strategy of active learning, based on a modular version of support vector machine (MSVM) applied to urban remote sensing images in Algeria. In general, the training set is highly imbalanced, which gives more complex models; this difficulty is solved by dividing the problem at hand into a set of sub-problems, where each sub-model could be simpler to solve. The support vector machine is introduced to solve the problem of classification based on image remote sensing data related to atmospheric conditions and illumination reflectance. The aim of the proposed method is to improve the accuracy in order to understand the correlated elements of urban structures (the site, the built, the parcels, the network, the space), to generate the final classification result. In particular, we propose a new method based on the modular support vector machine (MSVM) adopted to active learning method, using three different clustering methods (i) k-means, (ii) fuzzy c-means (FCM), and (iii) Gustafson–Kessel (GKclust). Experimental results obtained on two QuickBird multispectral images of Se´tif and Batna cities in the eastern of Algeria confirm the capabilities of the proposed methods based on the ensemble of model trained with different task decomposition compared to a traditional model using active learning. This method improves each class presents a main register in urban structure tissues.
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    A New Approach to the Quality Control Process in Industry 4.0
    (2025) Nadia Hoggas
    In the realm of traditional manufacturing, statistical metrology serves as a fundamental pillar for evaluating product quality after the production line. In contrast, the rise of smart manufacturing has revolutionized a reactive measurement process to a proactive and essential element of production. This evolution is crucial for ensuring that products consistently meet contemporary quality standards throughout the manufacturing cycle. Furthermore, the advent of Industry 4.0 marks a profound shift in organizational dynamics, underscoring the critical need for cultural transformation that emphasizes collaboration, agility, and continuous learning. This research highlights the importance of fostering partnerships between businesses, academic institutions, and governmental entities to drive the evolution of Industry 4.0. These collaborations facilitate the integration of new technologies, promote research and development, and create a thriving ecosystem that nurtures innovation, thus ensuring the democratization of technological benefits across industries and communities. This thesis aims to present a comprehensive and systematic approach that seeks to optimize the Six Sigma methodology by evolving it into a proactive system. Hence, we examine the Six Sigma methodology, known for its rigorous approach to process improvement, which includes a suite of statistical tools aimed at reducing errors and enhancing quality. This study presents an innovative adaptation of Six Sigma that incorporates modern statistical techniques and integrates cutting-edge technologies to address quality challenges in diverse sectors such as manufacturing, agriculture, and education. Central to this advancement is the introduction of a new approach that combines Six Sigma’s core principles with AI-driven quality control and decision-making optimization. This approach is designed to be scalable, adaptable, and flexible, ensuring its relevance in the context of digital transformation and its applicability across various industries. Through the development of the 5I approach, this research proposes a dynamic and forward-thinking approach to continuous improvement and operational excellence, enabling organizations to preemptively address challenges and enhance their overall performance.