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Analytical Modeling of a Multi-queue Nodes Network Router

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International Journal of Automation and computing 2011年第4期8卷 459-464页

作者： hussein Al-Bahadili Jafar ababneh Fadi Thabtah Faculty of Information Technology Petra University Amman Jordan Faculty of Information Technology and Sciences World Islamic Sciences and Education University Amman Jordan Faculty of Information Technology Philadelphia University Amman Jordan

This paper presents the derivation of an analytical model for a multi-queue nodes network router, which is referred to as the multi-queue nodes （mQN） model. In this model, expressions are derived to calculate two performance metrics, namely, the queue node and system utilization factors. In order to demonstrate the flexibility and effectiveness of the mQN model in analyzing the performance of an mQN network router, two scenarios are performed. These scenarios investigated the variation of queue nodes and system utilization factors against queue nodes dropping probability for various system sizes and packets arrival routing probabilities. The performed scenarios demonstrated that the mQN analytical model is more flexible and effective when compared with experimental tests and computer simulations in assessing the performance of an mQN network router.

关键词： Congested networks network routers active queue managements multi-queue nodes (mQN) systems analytical model- ing utilization factor.

A genetic algorithm based lookup table approach for optimal stepping sequence of open-loop stepper motor systems

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控制理论与应用（英文版） 2013年第1期11卷 35-41页

作者： Suleiman BANIHANI Khalid AL-WIDYAN ahmad AL-JARRAH Mohammad ababneh Mechatronics Engineering Department The Hashemite University

Stepper motor driven systems are widely used in industrial applications. They are mainly used for their low cost open-loop high performance. However, as dynamic systems need to be increasingly faster and their motion more precise, it is important to have an open-loop system which is accurate and reliable. In this paper, we present a novel technique in which a genetic algorithm （GA） based lookup table approach is used to find the optimal stepping sequence of an open-loop stepper motor system. The optimal sequence objective is to minimize residual vibration and to accurately follow trajectory. A genetic algorithm is used to find the best stepping sequence which minimizes the error and improves the system performance. Numerical simulation has showed the effectiveness of our approach to improve the system performance for both position and velocity. The optimized system reduced the residual vibration and was able to follow the trajectory with minimal error.

关键词： Stepper motor Open-loop Genetic algorithm Optimal Stepping sequence Control

Imbalanced Data Classification Using SVM Based on Improved Simulated Annealing Featuring Synthetic Data Generation and Reduction

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Computers, Materials & Continua 2023年第4期75卷 547-564页

作者： hussein Ibrahim hussein Said Amirul Anwar Muhammad Imran ahmad Department of Computer Techniques Engineering AlSafwa University CollegeKarbala56001Iraq Faculty of Electronic Engineering&Technology Universiti Malaysia PerlisArau02600PerlisMalaysia

Imbalanced data classification is one of the major problems in machine *** imbalanced dataset typically has significant differences in the number of data samples between its *** most cases,the performance of the machine learning algorithm such as Support Vector Machine(SVM)is affected when dealing with an imbalanced *** classification accuracy is mostly skewed toward the majority class and poor results are exhibited in the prediction of minority-class *** this paper,a hybrid approach combining data pre-processing technique andSVMalgorithm based on improved Simulated Annealing(SA)was ***,the data preprocessing technique which primarily aims at solving the resampling strategy of handling imbalanced datasets was *** this technique,the data were first synthetically generated to equalize the number of samples between classes and followed by a reduction step to remove redundancy and duplicated *** is the training of a balanced dataset using *** this algorithm requires an iterative process to search for the best penalty parameter during training,an improved SA algorithm was proposed for this *** this proposed improvement,a new acceptance criterion for the solution to be accepted in the SA algorithm was introduced to enhance the accuracy of the optimization *** works based on ten publicly available imbalanced datasets have demonstrated higher accuracy in the classification tasks using the proposed approach in comparison with the conventional implementation of *** at an average of 89.65%of accuracy for the binary class classification has demonstrated the good performance of the proposed works.

关键词： Imbalanced data resampling technique data reduction support vector machine simulated annealing

Orbit Weighting Scheme in the Context of Vector Space Information Retrieval

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Computers, Materials & Continua 2024年第7期80卷 1347-1379页

作者： ahmad ababneh Yousef Sanjalawe Salam Fraihat Salam Al-E’mari Hamzah Alqudah Department of Computer Science Faculty of Information TechnologyAmerican University of MadabaAmman11821Jordan Department of Cybersecurity Faculty of Information TechnologyAmerican University of MadabaAmman11821Jordan Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityP.O.Box 346Ajman13306United Arab Emirates Information Security Department Faculty of Information TechnologyUniversity of PetraAmman11196Jordan Department of Data Science and Artificial Intelligence Faculty of Information TechnologyAmerican University of MadabaAmman11821Jordan

This study introduces the Orbit Weighting Scheme(OWS),a novel approach aimed at enhancing the precision and efficiency of Vector Space information retrieval(IR)models,which have traditionally relied on weighting schemes like tf-idf and *** conventional methods often struggle with accurately capturing document relevance,leading to inefficiencies in both retrieval performance and index size *** proposes a dynamic weighting mechanism that evaluates the significance of terms based on their orbital position within the vector space,emphasizing term relationships and distribution patterns overlooked by existing *** research focuses on evaluating OWS’s impact on model accuracy using Information Retrieval metrics like Recall,Precision,InterpolatedAverage Precision(IAP),andMeanAverage Precision(MAP).Additionally,we assessOWS’s effectiveness in reducing the inverted index size,crucial for model *** compare OWS-based retrieval models against others using different schemes,including tf-idf variations and *** reveal OWS’s superiority,achieving a 54%Recall and 81%MAP,and a notable 38%reduction in the inverted index *** highlights OWS’s potential in optimizing retrieval processes and underscores the need for further research in this underrepresented area to fully leverage OWS’s capabilities in information retrieval methodologies.

关键词： Information retrieval orbit weighting scheme semantic text analysis Tf-Idf weighting scheme vector space model

Flux measurements for a DD neutron generator using neutron activation analysis

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Nuclear Science and Techniques 2018年第4期29卷 66-71页

作者： Walid A. Metwally Samar El-Sayed ahmad ababneh David L. Williams Allan X. Chen Department of Nuclear Engineering University of SharjahSharjah 27272 UAE Adelphi Technology 2003 E Bayshore Rd. Redwood CityCA 94063 USA

The fast and maximum thermal neutron fluxes from the DD-109 neutron generator at the University of Sharjah were experimentally measured by the activation technique using different neutron reactions. The thermal and fast neutron fluxes were found to be 2.960 × 10~6 and6.186 × 10~7 n/cm^2 s, respectively. This was done to verify the modeling results for the optimum moderator thickness needed to maximize the thermal neutron flux. The optimum moderator thickness was found to be between 3.5 and4 cm. The present data were compared with the detailed MCNP model-based calculation performed in earlier work to simulate the generator.

关键词： Neutron activation analysis Neutron generator Neutron moderation Thermal neutron flux measurement

Construction of Third-Order Diagonal Implicit Runge-Kutta Methods for Stiff Problems

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Chinese Physics Letters 2009年第8期26卷 39-41页

作者： Osama Yusuf ababneh Rokiah@Rozita ahmad School of Mathematical Sciences UniversRi Kebangsa~n Malaysia 43600 UKM Bangi Selangor Malaysia

We presents a new third-order diagonally implicit Runge^Kutta integration formula for stiff initial value problems, designed to be A-stable methods. The stability of the methods is analyzed and numerical results are s...

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Preparation and Properties of Poly(vinyl alcohol)/Chitosan Blend Bio-nanocomposites Reinforced by Cellulose Nanocrystals

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Chinese Journal of Polymer Science 2014年第12期32卷 1620-1627页

作者： Susan Azizi Mansor Bin ahmad Nor Azowa Ibrahim Mohd Zobir hussein Farideh Namvar Department of Chemistry Faculty of Science University Putra Malaysia Materials Synthesis and Characterization Laboratory Institute of Advanced Technology University Putra Malaysia Institute of Tropical Forestry and Forest Products Universiti Putra Malaysia Mashhad Branch Islamic Azad University

The aim of this paper is to report the effect of the addition of cellulose nanocrystals（CNCs） on the mechanical, thermal and barrier properties of poly（vinyl alcohol）/chitosan（PVA/Cs） bio-nanocomposites films prepared through the solvent casting process. The characterizations of PVA/Cs/CNCs films were carried out in terms of X-ray diffraction（XRD）, transmission electron microscopy（TEM）, scanning electron microscopy（SEM）, thermogravimetric analysis（TGA and DTG）, oxygen transmission rate（OTR）, and tensile tests. TEM and SEM results showed that at low loading levels, CNCs were dispersed homogenously in the PVA/Cs matrix. The tensile strength and modulus in films increased from 55.1 MPa to 98.4 MPa and from 395 MPa to 690 MPa respectively, when CNCs content went from 0 wt% to 1.0 wt%. The thermal stability and oxygen barrier properties of PVA/Cs matrix were best enhanced at 1.0 wt% of CNCs loading. The enhanced properties attained by incorporating CNCs can be beneficial in various applications.

关键词： Bio-nanocomposite Poly(vinyl alcohol)/chitosan Cellulose nanocrystals Mechanical properties Thermal properties.

Copper oxide nanoparticles-loaded zeolite and its characteristics and antibacterial activities

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Journal of Materials Science & Technology 2017年第8期33卷 889-896页

作者： Abdullah A.Alswat Mansor Bin ahmad Mohd Zobir hussein Nor Azowa Ibrahim Tawfik A.Saleh Department of Chemistry Faculty of ScienceUniversiti Putra MalaysiaSelangor 43400Malaysia Department of Chemistry Sana'a UniversityYemen Department of Chemistry King Fahcl University of Petroleum&MineralsDhahran 31261Saudi Arabia

In the present work, a simple and green co-precipitation method was used to prepare copper oxide-zeolite nanocomposites（CuO-zeolite NCs）. The weight ratio（1, 3, 5, 8 and 10 wt%） of CuO nanoparticles（NPs）loaded into zeolite was investigated to obtain the optimum CuO distribution for antibacterial *** prepared CuO-zeolite NCs were characterized by ultraviolet-visible（UV–vis） spectroscopy, Fourier transform infrared（FT-IR） spectroscopy, powder X-ray diffraction（XRD）, and energy dispersive X-ray fluorescence spectrometry（EDXRF）. The transmission electron microscopy（TEM） and field emission scanning electron microscopy（FE-SEM） revealed a uniform surface morphology of the CuO-zeolite *** UV–vis spectrum of NCs showed absorption peaks between 230 and 280 nm for nano-CuO in the XRD patterns, and new peaks appeared between（36.56？–38.83？） related to the CuO. At weight ratio less than 10 wt%, the CuO nanoparticles loaded to the zeolite exhibited spherical shapes with average particle diameter of 6.5 nm measured by TEM and XRD. Antibacterial activities were tested against Gram-negative and Gram-positive bacteria. The obtained results showed that, CuO-zeolite NCs with 8 wt% CuO nanoparticles had the highest antibacterial activities against Bacillus Subtilis B29 and Salmonella Choleraesuis ATCC10708, which can be attributed to the good dispersion of CuO NPs on the zeolite surface.

关键词： Copper oxide-zeolite Nanocomposites Antibacterial

包裹式土工格栅-砂土相互作用对条形基础承载力-沉降特性的影响研究

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岩土力学 2022年第9期43卷 2550-2567页

作者： ahmad hussein MAHBOUBI ahmad NOORZAD Ali HOSEINI Mohammad Hosein 蒂什林大学土木工程学院岩土工程学系拉塔基亚叙利亚沙希德·贝赫什提大学土木、水和环境工程学院德黑兰伊朗

高质量材料的使用以及土层的处理是保持建筑结构稳定并保证其设计寿命的重要因素,尤其是在垫层较差的地区。对未加筋、土工格栅加筋和折叠土工格栅加筋细砂上方的条形基础进行试验研究,以评估平面土工格栅层数、折叠土工格栅在土中的位... 详细信息

高质量材料的使用以及土层的处理是保持建筑结构稳定并保证其设计寿命的重要因素,尤其是在垫层较差的地区。对未加筋、土工格栅加筋和折叠土工格栅加筋细砂上方的条形基础进行试验研究,以评估平面土工格栅层数、折叠土工格栅在土中的位置、土工格栅折叠层的厚度、折叠土工格栅的搭接长度、土工格栅折叠层的间距以及土工格栅的层数等因素的影响。与平面土工格栅加筋砂相比,折叠土工格栅加筋砂在静载作用下的性能更好。此外,在基础下方一定深度处存在一个临界区域。在该区域内,折叠土工格栅会导致基础沉降量增加。这一临界区域会影响较小基础宽度处的砂土特性。试验结果表明,折叠土工格栅的最优埋置深度为基础宽度的0.41,厚度为基础宽度的0.20。增加折叠土工格栅的层数可以明显减少沉降比。该试验表明,包裹式加筋可以显著提高结构框架的承载能力,减少沉降,并使得它们可以在狭小的空间中使用。

关键词：土工合成材料条形基础包裹式土工格栅平面土工格栅砂土承载力沉降特性