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Modeling, Analysis and Simulation of a High-Efficiency Battery Control System

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Computer Modeling in Engineering & Sciences 2023年第7期136卷 709-732页

作者： mohammed Ayad Alkhafaji Yunus Uzun College of Engineering Technology National University of Science and TechnologyDhi QarIraq Aksaray University Faculty of EngineeringDepartment of Electrical and Electronics EngineeringAksarayTurkey

This paper explains step-by-step modeling and simulation of the full circuits of a battery control system and connected together starting from the AC input source to the battery control and storage *** three-phase half-controlled rectifier has been designed to control and convert the AC power into DC *** addition,two types of direct current converters have been used in this paper which are a buck and bidirectional DC/DC *** systems adjust the output voltage to be lower or higher than the input *** the buck converters,the main switch operates in conduction or cut-off mode and is triggered by a Pulse-Width Modulated(PWM)*** output and input voltage levels ratio are used to calculate thePWMsignal’s duty ***,the duty cycle indicates the operation mode of the converter in steady-state *** this study,we analyze and control of a buck converter with the PWM ***,the bidirectional DC/DC converter has been achieved and optimized by PI control methods to control the battery charging and discharging *** simulation has been applied via the Matlab/Simulink *** results show the activity of each part of the designed circuits starting from the converters and the battery control system in charge and discharge modes.

关键词： Rectifier buck converter bidirectional DC/DC converter PI controller Pulse-WidthModulation(PWM) battery controller

EMU-Net: Automatic Brain Tumor Segmentation and Classification Using Efficient Modified U-Net

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Computers, Materials & Continua 2023年第10期77卷 557-582页

作者： mohammed Aly Abdullah Shawan Alotaibi Department of Artificial Intelligence Faculty of Artificial IntelligenceEgyptian Russian UniversityBadr City11829Egypt Computer Science Department Shaqra UniversityShaqra City11961Saudi Arabia

Tumor segmentation is a valuable tool for gaining insights into tumors and improving treatment *** segmentation is crucial but *** learning methods have emerged as key players in automating brain tumor *** this paper,we propose an efficient modified U-Net architecture,called EMU-Net,which is applied to the BraTS 2020 *** approach is organized into two distinct phases:classification and *** this study,our proposed approach encompasses the utilization of the gray-level co-occurrence matrix(GLCM)as the feature extraction algorithm,convolutional neural networks(CNNs)as the classification algorithm,and the chi-square method for feature *** simulation results,the chi-square method for feature selection successfully identifies and selects four GLCM *** utilizing the modified U-Net architecture,we achieve precise segmentation of tumor images into three distinct regions:the whole tumor(WT),tumor core(TC),and enhanced tumor(ET).The proposed method consists of two important elements:an encoder component responsible for down-sampling and a decoder component responsible for *** components are based on a modified U-Net architecture and are connected by a bridge *** proposed CNN architecture achieves superior classification accuracy compared to existing methods,reaching up to 99.65%.Additionally,our suggested technique yields impressive Dice scores of 0.8927,0.9405,and 0.8487 for the tumor core,whole tumor,and enhanced tumor,***,the method presented demonstrates a higher level of trustworthiness and accuracy compared to existing *** promising accuracy of the EMU-Net study encourages further testing and evaluation in terms of extrapolation and generalization.

关键词： MR images GLCM SVM segmentation U-Net CNN

Application of Image Compression to Multiple-Shot Pictures Using Similarity Norms With Three Level Blurring

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Computers, Materials & Continua 2019年第6期59卷 753-775页

作者： mohammed Omari Souleymane Ouled Jaafri LDDI Laboratory Mathematics and Computer Science DepartmentUniversity of AdrarAdrar 01000Algeria

be stored or transmitted in an efficient *** this work,a new idea is proposed,where we take advantage of the redundancy that appears in a group of images to be all compressed together,instead of compressing each image by *** our proposed technique,a classification process is applied,where the set of the input images are classified into groups based on existing technique like L1 and L2 norms,color *** images that belong to the same group are compressed based on dividing the images of the same group into sub-images of equal sizes and saving the references into a *** the process of extracting the different sub-images,we used the mean squared error for comparison and three blurring methods(simple,middle and majority blurring)to increase the compression *** show that varying blurring values,as well as MSE thresholds,enhanced the compression results in a group of images compared to JPEG and PNG compressors.

关键词： Image compression simple blurring middle blurring majority blurring similarity classification mean squared error

Geostructural stability assessment of cave using rock surface discontinuity extracted from terrestrial laser scanning point cloud

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Journal of Rock Mechanics and Geotechnical Engineering 2018年第3期10卷 534-544页

作者： mohammed Oludare Idrees Biswajeet Pradhan Department of Civil Engineering Geospatial Information Science Research Centre(GISRC)Faculty of EngineeringUniversity Putra Malaysia School of Systems Management and Leadership Faculty of Engineering and Information Technology University of Technology Sydney

The use of terrestrial laser scanning（TLS） in the caves has been growing drastically over the last ***, TLS application to cave stability assessment has not received much attention of *** study attempted to utilize rock surface orientations obtained from TLS point cloud collected along cave passages to（1） investigate the influence of rock geostructure on cave passage development, and（2）assess cave stability by determining areas susceptible to different failure types. The TLS point cloud was divided into six parts（Entry hall, Chamber, Main hall, Shaft 1, Shaft 2 and Shaft 3）, each representing different segments of the cave passages. Furthermore, the surface orientation information was extracted and grouped into surface discontinuity joint sets. The computed global mean and best-fit planes of the entire cave show that the outcrop dips 290° with a major north-south strike. But at individual level, the passages with dip angle between 26° and 80° are featured with dip direction of 75°-322°. Kinematic tests reveal the potential for various failure modes of rock slope. Our findings show that toppling is the dominant failure type accounting for high-risk rockfall in the cave, with probabilities of 75.26%, 43.07%and 24.82% in the Entry hall, Main hall and Shaft 2, respectively. Unlike Shaft 2 characterized by high risk of the three failure types（32.49%, 24.82% and 50%）, the chamber and Shaft 3 passages are not suffering from slope failure. The results also show that the characteristics of rock geostructure considerably influence the development of the cave passages, and four sections of the cave are susceptible to different slope failure types, at varying degrees of risk.

关键词： Rock geostructure Remote sensing Terrestrial laser scanning (TLS) Geospatial information system (GIS) Slope stability

A Novel IoT Application Recommendation System Using Metaheuristic Multi-Criteria Analysis

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Computer Systems Science & Engineering 2021年第5期37卷 149-158页

作者： mohammed Hayder Kadhim Farhad Mardukhi Department of Computer Engineering and Information Technology Razi UniversityKermanshahIran

There are a variety of Internet of Things(IoT)applications that cover different aspects of daily *** of these applications has different criteria and sub-criteria,making it difficult for the user to *** requires an automated approach to select IoT applications by considering *** paper presents a novel recommendation system for presenting applications on the ***,using the analytic hierarchy process(AHP),a multi-layer architecture of the criteria and sub-criteria in IoT applications is *** architecture is used to evaluate and rank IoT *** a result,finding the weight of the criteria and subcriteria requires a metaheuristic *** this paper,a sequential quadratic programming algorithm is used to find the optimal weight of the criteria and sub-criteria *** the best of our knowledge,this is the first study to use an analysis of metaheuristic criteria and sub-criteria to design an IoT application recommendation *** evaluations and comparisons in the experimental results section show that the proposed method is a comprehensive and reliable model for the construction of an IoT applications recommendation system.

关键词： Internet of Things smart objects recommendation system multicriteria analysis sequential quadratic programming

Characterization and modeling of long-term stress-strain behavior of water confined pre-saturated gypsum rock in Kurdistan Region,Iraq

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Journal of Rock Mechanics and Geotechnical Engineering 2017年第4期9卷 741-748页

作者： N. Salih A. mohammed Department of Irrigation Engineering Faculty of Engineering University of Sulaimani Kurdistan Region Iraq Department of Civil Engineering Faculty of Engineering University of Sulaimani Kurdistan Region Iraq

In order to understand the effects of soaking time and confined water pressure on the strength of rock due to dissolution of gypsum,rock samples with 96% of gypsum content collected from Kurdistan Region in northern Iraq were *** tests were then performed on the normal gypsum rock samples under pre-saturated condition to obtain their uniaxial compressive strength(UCS) *** pre-saturated samples were submerged in distilled water for 35 d,70 d and 105 d,respectively,under confined water pressures of 0-0.5 *** gypsum content decreased by 11% after 105 d of soaking under confined water pressure of 0.5 *** UCS of the normal gypsum rock was 19.6 MPa and it decreased to 6.3 MPa and 2 MPa after 105 d of soaking under confined water pressures of 0 and 0.5 MPa,respectively.A nonlinear constitutive model was used to simulate the experimental stress-strain relationships of rock samples under various *** constitutive model parameters were sensitive to the gypsum content.

关键词： Gypsum content Soaking time Confined water pressure Compression Modeling

On Fractional Differential Inclusion for an EpidemicModel via L-Fuzzy Fixed Point Results

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Computer Modeling in Engineering & Sciences 2023年第11期137卷 1937-1956页

作者： Maha Noorwali mohammed Shehu Shagari Department of Mathematics King Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics Faculty of Physical SciencesAhmadu Bello UniversityZariaNigeria

The real world is filled with uncertainty,vagueness,and *** concepts we meet in everyday life are vague rather than *** real-world situations,if a model requires that conclusions drawn from it have some bearings on reality,then two major problems immediately arise,*** situations are not usually crisp and deterministic;complete descriptions of real systems often require more comprehensive data than human beings could recognize simultaneously,process and *** mathematical tools which require all inferences to be exact,are not always efficient to handle imprecisions in a wide variety of practical *** the latter development,a lot of attention has been paid to examining novel L-fuzzy analogues of conventional functional equations and their various *** this paper,new coincidence point results for single-valued mappings and an L-fuzzy set-valued map in metric spaces are *** novelty and generality,the obtained invariant point notions are compared with some well-known related concepts via non-trivial *** is observed that our principal results subsume and refine some important ones in the corresponding *** an application,one of our results is utilized to discussmore general existence conditions for realizing the solutions of a non-integer order inclusion model for COVID-19.

关键词： Hausdorff metric L-fuzzy set L-fuzzy set-valued map Caputo fractional differential inclusion COVID-19

Improved Dwarf Mongoose Optimization Algorithm for Feature Selection:Application in Software Fault Prediction Datasets

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Journal of Bionic Engineering 2024年第4期21卷 2000-2033页

作者： Abdelaziz I.Hammouri mohammed A.Awadallah Malik Sh.Braik mohammed Azmi Al-Betar Majdi Beseiso Department of Computer Science Al-Balqa Applied UniversityAl-Salt19117Jordan Department of Scientific Research and Graduate Studies University of Prince Mugrin42241MedinaSaudi Arabia Department of Computer Science Al-Aqsa UniversityGaza4051Palestine Artificial Intelligence Research Center(AIRC) Ajman UniversityAjmanUnited Arab Emirates Department of Information Technology Al-Huson University CollegeAl-Balqa Applied UniversityAl-HusonIrbid21110Jordan

Feature selection(FS)plays a crucial role in pre-processing machine learning datasets,as it eliminates redundant features to improve classification accuracy and reduce computational *** paper presents an enhanced approach to FS for software fault prediction,specifically by enhancing the binary dwarf mongoose optimization(BDMO)algorithm with a crossover mechanism and a modified positioning updating *** proposed approach,termed iBDMOcr,aims to fortify exploration capability,promote population diversity,and lastly improve the wrapper-based FS process for software fault prediction *** gained superb performance compared to other well-esteemed optimization methods across 17 benchmark *** ranked first in 11 out of 17 datasets in terms of average classification ***,iBDMOcr outperformed other methods in terms of average fitness values and number of selected features across all *** findings demonstrate the effectiveness of iBDMOcr in addressing FS problems in software fault prediction,leading to more accurate and efficient models.

关键词： Dwarf mongoose optimization algorithm Optimization Feature selection Classification

Sulfamic acid functionalized slag for effective removal of organic dye and toxic metal from the aqueous samples

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Chinese Journal of Chemical Engineering 2021年第5期34卷 306-318页

作者： Dauda mohammed Muhammad HAl-Malack Basheer Chanbasha Department of Civil and Environmental Engineering King Fahd University of Petroleum&MineralsDhahran 31261Saudi Arabia Department of Chemistry King Fahd University of Petroleum&MineralsDhahran 31262Saudi Arabia

Surface functionalization of blast furnace slag with sulfamic acid(a zwitterion)was performed for the removal of Cr^(3+)and methylene blue dye(MB)from water *** slag functionalization process was optimized using Response Surface Methodology *** analysis of the parameters that include the sulfamic acid amount(A),reaction time(B),and temperature(C)revealed that(A)increase had a negative effect on the adsorption of both pollutants by the zwitterion slag,whereas(B)and(C)increase presented a positive *** the optimum condition of 2 g sulfamic acid amount,50 min reaction time and 37℃ temperature,the prepared slag showed a removal efficiency of more than 90% for both Cr^(3+)and *** characterization by SEM/EDS,FTIR,XPS and surface area analyser,showed an improvement in surface properties and the incorporation of zwitterionic NH^(2+)and S=O groups of sulfamic *** isotherm and kinetic studies conducted with the zwitterion slag showed the adsorption process was suited to Freundlich isotherm model and pseudo-second-order kinetic *** thermodynamic study conducted revealed the spontaneity of the process based on the calculated negativeΔG(Gibb’s free energy)*** prepared zwitterion slag offered easy regeneration with dilute HCl solution and showed a considerable removal(Cr^(3+):65% and MB:80%)for both pollutants even after 3 cycles of usage.

关键词： Functional groups Optimization Zwitterion Adsorption Waste treatment Industrial waste