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MARIE:One-Stage Object Detection Mechanism for Real-Time Identifying of Firearms

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 279-298页

作者： Diana Abi-Nader Hassan Harb Ali Jaber Ali Mansour Christophe Osswald nour Mostafa Chamseddine Zaki Computer Science Department Faculty of SciencesLebanese UniversityBeirut146404Lebanon College of Engineering and Technology American University of the Middle EastEgaila54200Kuwait Lab-STICC CNRS UMR 6285ENSTA-BretagneBrest29200France

Security and safety remain paramount concerns for both governments and individuals *** today’s context,the frequency of crimes and terrorist attacks is alarmingly increasing,becoming increasingly intolerable to ***,there is a pressing need for swift identification of potential threats to preemptively alert law enforcement and security forces,thereby preventing potential attacks or violent *** advancements in big data analytics and deep learning have significantly enhanced the capabilities of computer vision in object detection,particularly in identifying *** paper introduces a novel automatic firearm detection surveillance system,utilizing a one-stage detection approach named MARIE(Mechanism for Realtime Identification of Firearms).MARIE incorporates the Single Shot Multibox Detector(SSD)model,which has been specifically optimized to balance the speed-accuracy trade-off critical in firearm detection *** SSD model was further refined by integrating MobileNetV2 and InceptionV2 architectures for superior feature extraction *** experimental results demonstrate that this modified SSD configuration provides highly satisfactory performance,surpassing existing methods trained on the same dataset in terms of the critical speedaccuracy *** these innovations,MARIE sets a new standard in surveillance technology,offering a robust solution to enhance public safety effectively.

关键词： Firearm and gun detection single shot multi-box detector deep learning one-stage detector MobileNet inception convolutional neural network

Positron Affinity, Deformation Potential and Diffusion Constant in AlxIn1-xSb Ternary Semiconductor Alloys

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Acta Metallurgica Sinica(English Letters) 2016年第7期29卷 661-667页

作者： nour EI-Houda Fares Nadir Bouarissa Materials and Electronic Systems Laboratory University of Bordj-Bou-Arr6ridj 34000 Bordj-Bou-Arr6ridj Algeria Laboratory of Materials Physics and Its Applications University of M'sila 28000 M'sila Algeria 9 Rue K Fg des martyrs 34000 Bordj-Bou-Arreridj Algeria

The present investigation deals with the positron behaviour in Alxlnl_xSb ternary semiconductor alloys in the zinc-blende phase. The calculations are mainly based on a pseudopotential approach coupled with the independent particle model. Features such as elastic constants, electron and positron chemical potentials, positron deformation potential and positron diffusion constant are determined. Moreover, the positron affinity to InSb, A1Sb and their related ternary alloys and heterostructures is calculated. The present results are compared to experiment and found to be in reasonably good agreement. The information gathered from the present study can help in understanding the positron trapping at interfaces and precipitates and might be useful in slow-positron-beam experiments.

关键词： Semiconductor alloys Positrons Diffusion Surface and interface states Heterostructures

Resolution of Unity of Generalized Bargmann Spaces by means of Displaced Fock states

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Chinese Physics Letters 2002年第11期19卷 1576-1578页

作者： nour Eddine Askour and Zouha r Mouayn Department of Mathematics Faculty of Sciences and Technics (M’Ghila)

We resolve the unity of generalized Bargmann spaces in C^n [J. Math. Phys. 41 (2000) 3507] by means of displaced Fock states

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An Open Platform for Processing IFC Model Versions

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Tsinghua Science and Technology 2008年第S1期13卷 126-131页

作者： Mohamed nour Karl Beucke Informatik im Bauwesen Bauhaus-University Weimar

The IFC initiative from the International Alliance of Interoperability has been developing since the mid-nineties through several versions. This paper addresses the problem of binding the growing number of IFC versions and their EXPRESS definitions to programming environments (Java and .NET). The solution developed in this paper automates the process of generating early binding classes, whenever a new version of the IFC model is released. Furthermore, a runtime instantiation of the generated early binding classes takes place by importing IFC-STEP ISO 10303-P21 models. The user can navigate the IFC STEP model with relevance to the defining EXPRESS-schema, modify, delete, and create new instances. These functionalities are considered to be a basis for any IFC based implementation. It enables researchers to experiment the IFC model independently from any software application.

关键词： IFC EXPRESS STEP, bindings .NET Java

A Study on the Second Order Tangent Bundles over Bi-Kählerian Manifolds

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Chinese Annals of Mathematics,Series B 2024年第5期45卷 777-804页

作者： nour Elhouda DJAA Aydin GEZER Abderrahim ZAGANE Relizane University Faculty of Sciences and TechnologyDepartment of MathematicsAlgeria Ataturk University Faculty of ScienceDepartment of Mathematics25240Erzurum-Turkey

This paper aims to study the Berger type deformed Sasaki metric g_(BS)on the second order tangent bundle T^(2)M over a bi-Kählerian manifold *** authors firstly find the Levi-Civita connection of the Berger type deformed Sasaki metric g_(BS)and calculate all forms of Riemannian curvature tensors of this ***,they study geodesics on the second order tangent bundle T^(2)M and bi-unit second order tangent bundle T^(2)_(1,1)M,and characterize a geodesic of the bi-unit second order tangent bundle in terms of geodesic curvatures of its projection to the ***,they present some conditions for a sectionσ:M→T^(2)M to be harmonic and study the harmonicity of the different canonical projections and inclusions of(T^(2)M,g_(BS)).Moreover,they search the harmonicity of the Berger type deformed Sasaki metric g_(BS)and the Sasaki metric g_(S) with respect to each other.

关键词： Berger type deformed Sasaki metric Bi-Kählerian structure Geodesics Harmonicity Riemannian curvature tensor Second order tangent bundle

Managing Software Testing Technical Debt Using Evolutionary Algorithms

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Computers, Materials & Continua 2022年第10期73卷 735-747页

作者： Muhammad Abid Jamil Mohamed K.nour Department of Computer Science Umm Al-Qura UniversityMakkahSaudi Arabia

Technical debt(TD)happens when project teams carry out technical decisions in favor of a short-term goal(s)in their projects,whether deliberately or *** must be properly managed to guarantee that its negative implications do not outweigh its advantages.A lot of research has been conducted to show that TD has evolved into a common problem with considerable financial *** technical debt is the technical debt aspect of testing(or test debt).Test debt is a relatively new concept that has piqued the curiosity of the software industry in recent *** this article,we assume that the organization selects the testing artifacts at the start of every *** the latest features in consideration of expected business value and repaying technical debt are among candidate tasks in terms of the testing process(test cases increments).To gain the maximum benefit for the organization in terms of software testing optimization,there is a need to select the artifacts(i.e.,test cases)with maximum feature coverage within the available *** management of testing optimization for large projects is complicated and can also be treated as a multi-objective problem that entails a trade-off between the agile software’s short-term and long-term *** this article,we implement a multi-objective indicatorbased evolutionary algorithm(IBEA)for fixing such optimization *** capability of the algorithm is evidenced by adding it to a real case study of a university registration process.

关键词： Technical debt software testing optimization large scale agile projects evolutionary algorithms multiobjective optimization indicatorbased evolutionary algorithm(IBEA) pareto front

Feature extraction for machine learning-based intrusion detection in IoT networks

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Digital Communications and Networks 2024年第1期10卷 205-216页

作者： Mohanad Sarhan Siamak Layeghy nour Moustafa Marcus Gallagher Marius Portmann University of Queensland BrisbaneQLD4072Australia University of New South Wales CanberraACT2612Australia

A large number of network security breaches in IoT networks have demonstrated the unreliability of current Network Intrusion Detection Systems(NIDSs).Consequently,network interruptions and loss of sensitive data have occurred,which led to an active research area for improving NIDS *** an analysis of related works,it was observed that most researchers aim to obtain better classification results by using a set of untried combinations of Feature Reduction(FR)and Machine Learning(ML)techniques on NIDS ***,these datasets are different in feature sets,attack types,and network ***,this paper aims to discover whether these techniques can be generalised across various *** ML models are utilised:a Deep Feed Forward(DFF),Convolutional Neural Network(CNN),Recurrent Neural Network(RNN),Decision Tree(DT),Logistic Regression(LR),and Naive Bayes(NB).The accuracy of three Feature Extraction(FE)algorithms is detected;Principal Component Analysis(PCA),Auto-encoder(AE),and Linear Discriminant Analysis(LDA),are evaluated using three benchmark datasets:UNSW-NB15,ToN-IoT and *** PCA and AE algorithms have been widely used,the determination of their optimal number of extracted dimensions has been *** results indicate that no clear FE method or ML model can achieve the best scores for all *** optimal number of extracted dimensions has been identified for each dataset,and LDA degrades the performance of the ML models on two *** variance is used to analyse the extracted dimensions of LDA and ***,this paper concludes that the choice of datasets significantly alters the performance of the applied *** believe that a universal(benchmark)feature set is needed to facilitate further advancement and progress of research in this field.

关键词： Feature extraction Machine learning Network intrusion detection system IoT

Control Strategy for a Quadrotor Based on a Memetic Shuffled Frog Leaping Algorithm

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Computers, Materials & Continua 2021年第6期67卷 4081-4100页

作者： nour Ben Ammar Hegazy Rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis EL MANARLe BelvédèreTunis1002Tunisia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

This work presents a memetic Shuffled Frog Leaping Algorithm(SFLA)based tuning approach of an Integral Sliding Mode Controller(ISMC)for a quadrotor type of Unmanned Aerial Vehicles(UAV).Based on the Newton–Euler formalism,a nonlinear dynamic model of the studied quadrotor is firstly established for control design *** the main parameters of the ISMC design are the gains of the sliding surfaces and signum functions of the switching control law,which are usually selected by repetitive and time-consuming trials-errors based procedures,a constrained optimization problem is formulated for the systematically tuning of these unknown *** time-domain operating constraints,such an optimization-based tuning problem is effectively solved using the proposed SFLA metaheuristic with an empirical comparison to other evolutionary computation-and swarm intelligence-based algorithms such as the Crow Search Algorithm(CSA),Fractional Particle Swarm Optimization Memetic Algorithm(FPSOMA),Ant Bee Colony(ABC)and Harmony Search Algorithm(HSA).Numerical experiments are carried out for various sets of algorithms’parameters to achieve optimal gains of the sliding mode controllers for the altitude and attitude dynamics *** studies revealed that the SFLA is a competitive and easily implemented algorithm with high performance in terms of robustness and non-premature *** results verified that the proposed metaheuristicsbased approach is a promising alternative for the systematic tuning of the effective design parameters in the integral sliding mode control framework.

关键词： Quadrotor modeling integral sliding mode control gains tuning advanced metaheuristics memetic algorithms shuffled frog leaping algorithm

Developing crash modification factors for roundabouts using a cross-sectional method

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Journal of Traffic and Transportation Engineering(English Edition) 2020年第3期7卷 362-374页

作者： Mohammad nour Al-Marafi Kathirgamalingam Somasundaraswaran Ron Ayers School of Civil Engineering and Surveying Faculty of HealthEngineering and SciencesUniversity of Southern QueenslandT oow oom baQLD 4350Australia

The objective of the current study was to evaluate traffic and geometric features and their influences on the safety performance of roundabouts by developing suitable crash modification factors(CMFs).The cross-sectional method can be applied as an alternative method to estimate the CMFs when before-and-after studies are impractical to apply,e.g.,lack of data from the period after implementing *** accomplish the study objective,CMFs were derived from generalised linear models(GLMs),i.e.,negative binomial(NB)regression,using data collected on regional roundabouts in Toowoomba City,*** years of crash data from 49 roundabouts included all recorded crashes as well as traffic and geometric features for the entire *** candidate models were developed using the *** models were selected based on statistical significance,goodness-of-fit(GOF)measures,and cumulative residual(CURE)*** results show that increasing the number of entry lanes,entry width,entry radius,traffic volume,circulatory roadway width,weaving width,and speed limit have positive effects on roundabout *** the other hand,increasing the number of legs,number of exit lanes,exit width,exit radius,weaving length,central island diameters,and presence of fixed object on a central island have negative effects on roundabout *** study shows that quantifying the risk factors can support road safety stakeholders to identify safety improvements at roundabouts more effectively and efficiently.

关键词： Safety performance Generalised linear models Crash modification factors Cross-sectional method Roundabouts