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Traffic Control Based on Integrated Kalman Filtering and Adaptive Quantized Q-Learning Framework for Internet of Vehicles

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2103-2127页

作者： Othman S.al-Heety Zahriladha Zakaria ahmed Abu-Khadrah Mahamod Ismail Sarmad Nozad Mahmood Mohammed Mudhafar shakir Hussein alsariera Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaysia College of Computing&Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Electrical Electronic and System EngineeringUniversiti Kebangsaan MalaysiaUKM BangiSelangorMalaysia Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkukIraq Faculty of Engineering and Electronic Engineering Universiti Tun Hussein Onn Malaysia(UTHM)Batu PahatMalaysia 6Research Center DepartmentThe University of MashreqBaghdadIraq

Intelligent traffic control requires accurate estimation of the road states and incorporation of adaptive or dynamically adjusted intelligent algorithms for making the *** this article,these issues are handled by proposing a novel framework for traffic control using vehicular communications and Internet of Things *** framework integrates Kalman filtering and *** smoothing Kalman filtering,our data fusion Kalman filter incorporates a process-aware model which makes it superior in terms of the prediction *** traditional Q-learning,our Q-learning algorithm enables adaptive state quantization by changing the threshold of separating low traffic from high traffic on the road according to the maximum number of vehicles in the junction *** evaluation,the model has been simulated on a single intersection consisting of four roads:east,west,north,and south.A comparison of the developed adaptive quantized Q-learning(AQQL)framework with state-of-the-art and greedy approaches shows the superiority of AQQL with an improvement percentage in terms of the released number of vehicles of AQQL is 5%over the greedy approach and 340%over the state-of-the-art ***,AQQL provides an effective traffic control that can be applied in today’s intelligent traffic system.

关键词： Q-learning intelligent transportation system(ITS) traffic control vehicular communication kalman filtering smart city Internet of Things

Solving the Generalized Traveling Salesman Problem Using Sequential Constructive Crossover Operator in Genetic algorithm

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Computer Systems Science & Engineering 2024年第5期48卷 1113-1131页

作者： Zakir Hussain ahmed Maha Ata al-Furhood Abdul Khader Jilani Saudagar shakir Khan Department of Mathematics and Statistics College of ScienceImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Computer Science College of Computer and Information SciencesJouf UniversitySakakah42421Saudi Arabia Information Systems Department Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia

The generalized travelling salesman problem(GTSP),a generalization of the well-known travelling salesman problem(TSP),is considered for our *** the GTSP is NP-hard and very complex,finding exact solutions is highly expensive,we will develop genetic algorithms(GAs)to obtain heuristic solutions to the *** GAs,as the crossover is a very important process,the crossovermethods proposed for the traditional TSP could be adapted for the *** sequential constructive crossover(SCX)and three other operators are adapted to use in GAs to solve the *** effectiveness of GA using SCX is verified on some GTSP Library(GTSPLIB)instances first and then compared against GAs using the other crossover *** computational results show the success of the GA using SCX for this *** proposed GA using SCX,and swap mutation could find average solutions whose average percentage of excesses fromthe best-known solutions is between 0.00 and 14.07 for our investigated instances.

关键词： Generalized travelling salesman problem NP-hard genetic algorithms sequential constructive crossover swap mutation

Abundance,spatial distribution,and physical characteristics of microplastics in stormwater detention ponds

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Frontiers of Environmental Science & Engineering 2023年第10期17卷 75-87页

作者： Muhammad Masood Ashiq Farhad Jazaei Kati Bell ahmed shakir ali ali alireza Bakhshaee Peyman Babakhani Department of Civil Engineering University of MemphisMemphisTN 38152USA Brown and Caldwell NashvilleTN 37228USA Earth Surface Science Institute School of Earth and EnvironmentUniversity of LeedsLeedsLS29JTUK

Despite extensive research on microplastics (MP) in marine environments, little is known about MP abundance and transport in terrestrial systems. There is, therefore, still little understanding of the main mechanisms driving the substantial transport of MP across different environmental compartments. Storm events can transport MP beyond boundaries, such as from the land to groundwater or the ocean, as has already been discovered for organic carbon transport. Urban stormwater detention ponds are suitable environments to study the impact of stormwater on the environmental fate and transport of MP. Herein, we investigate the longitudinal and vertical distribution of MP within two detention ponds with different physical characteristics. Soil samples were collected at various locations and from multiple depths (surface and subsurface layers) for measuring MP concentrations using fluorescence microscopy. Our findings show that MP are retained more near the inlet of the ponds, and MP of larger sizes were found more abundantly near inlets than outlets. We also found that MP mass and sizes decrease from surface soil to subsurface soil. In the pond, where vegetation (grass root network) was more considerable, MP were found more evenly distributed along the depth. In terms of shape, the fragments were the most abundant MP shape.

关键词： Microplastic Environmental transport Soil pollution Stormwater Detention ponds

Implications COVID-19 on Performance and Energy Management in the Production Electricity

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Computers, Materials & Continua 2021年第10期69卷 895-911页

作者： Noor shakir Mahmood ahmed ali Ajmi Shamsul Sarip Khairur Rijal Jamaludin Hazilah Mad Kaidi Hayati Abdul Talib University of Technology Ministry of Electricity GCEP/Middle region BaghdadIraq Razak Faculty of Technology and Informatics UTMKuala Lumpur54100Malaysia

The COVID-19 pandemic has directly impacted the electric power industry;the energy sector has experienced huge losses in electricity *** losses have also affected the reliability of communication and employees’performance,hence destabilizing the electric power *** article aims at achieving two ***,analyzing the impact of the COVID-19 pandemic on the communication of performance(human error and human factors)and energy management in electricity ***,to develop a conceptual framework model to alleviate effects of the pandemic on the power sector and then improve energy management and human *** paper involves investigating the influence of the COVID19 pandemic on the global production of electricity in the first quarters of 2019 and 2020.A conceptual model was developed based on a case ***,to ensure reliability,a variable,namely COVID-19,was used as a moderator to examine the effects of the independent and dependent *** results show that scores for the internet of things(IoT)with awareness and communication(A&C)and workplace environment management were high with Cronbach’s alpha value of 0.87 for the IoT and 0.89 for A&*** numbers are important indicators of factors that could affect performance and energy management and should not be overlooked by the top *** results also indicate that the pandemic has had a direct effect on the electricity production sector,and the conceptual framework model revealed that COVID-19,as a moderator,has a direct effect on the variables that significantly affect the improvement of both energy management and employee *** case study’s results confirm the poor performance in power plant maintenance and operation,in which human error would increase especially in Iraqi power plants that have not yet adopted any internationally recognized standards for energy *** paper contributes to the literature studying COVID-19’s impa

关键词： Communication internet of things decision making energy management performance workplace environment

Intelligent Integrated Model for Improving Performance in Power Plants

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Computers, Materials & Continua 2022年第3期70卷 5783-5801页

作者： ahmed ali Ajmi Noor shakir Mahmood Khairur Rijal Jamaludin Hayati Habibah Abdul Talib Shamsul Sarip Hazilah Mad Kaidi Razak Faculty of Technology and Informatics UTM54100Kuala LumpurMalaysia University of Technology Ministry of Electricity GCEP/Middle Region BaghdadIraq

Industry 4.0 is expected to play a crucial role in improving energy management and personnel performance in power *** performance problem in maintaining power plants is the result of both human errors,human factors and the poor implementation of automation in energy *** problem can potentially be solved using artificial intelligence(AI)and an integrated management system(IMS).This article investigates the current challenges to improving personnel and energy management performance in power plants,identifies the critical success factors(CSFs)for an integrated intelligent framework,and develops an intelligent framework that enables power plants to improve *** theoretical basis is founded on a systematic literature review to locate 110 out of 3108 papers studied carefully to examine the performance architecture that best enables effective *** findings from this literature review are combined with expert judgment and the big data advantages of AI applications to develop an intelligent *** are collected from a power plant in *** ensure the reliability of the proposed model,various hypotheses are tested using structural equation *** results confirm that the measurement model is acceptable,and that the hypotheses are supported and significant.A case study demonstrates the strong relationship and significance between big data of performance and the *** is hoped that this model will be adopted to enable performance improvement in power plants.

关键词： Industry 4.0 artificial intelligence critical success factors decision making integrated management system maintenance

Novel Approach to Energy Management via Performance Shaping Factors in Power Plants

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Computers, Materials & Continua 2022年第12期73卷 5025-5039页

作者： ahmed ali Ajmi Noor shakir Mahmood Khairur Rijal Jamaludin Hayati Habibah Abdul Talib Shamsul Sarip Hazilah Mad Kaidi Razak Faculty of Technology and Informatics UTMKuala Lumpur54100Malaysia University of Technology Ministry of Electricity GCEP/Middle Region BaghdadIraq

The literature that a lack of integration between the performance shaping factors(PSFs)and the energy management performance(EMP)is one of the critical problems that prevent performance improvement and reduces the power plant’s *** solve this problem,this article aims to achieve two main objectives:(1)Systematically investigate and identify the critical success factors(CSFs)for integration with PSFs and EMP;(2)Develop a novel modelling approach to predict the performance of power plants based on innovative integrated *** research methodology is grounded on the theoretical and practical approach to improving *** Newcastle Ottawa Scale(NOS)was used to assess the quality of the literature that met the *** ensure the reliability and accuracy of the proposed model,the researchers developed a hypothesis and evaluated the CSFs via a case study in the Iraqi power *** findings of this study succeeded in developing a novel modeling approach to predict the performance by integrating the CSFs of both the PSFs and EMP to increase the positive interaction and energy efficiency of power *** results confirmed the validity of the selected hypotheses and verified the positive and important relationship with the success and improvement of the performance in power ***,the lack of consistency and balance in the current studies indicates that the performance strategy in power plants did not receive sufficient attention and needs further investigations.

关键词： Intelligent model energy policy energy use integrated system energy efficiency framework

Improvement method for cervical cancer detection: A comparative analysis

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Oncology Research 2021年第5期29卷 365-376页

作者： NUR AIN alIAS WAN AZANI MUSTAFA MOHD AMINUDIN JAMLOS ahmed alKHAYYAT KHAIRUL shakir AB RAHMAN RAMI QMalIK Faculty of Electrical Engineering&Technology Universiti Malaysia PerlisUniCITI Alam CampusSungai ChuchuhPadang BesarPerlis02100Malaysia Advanced Computing(AdvCOMP) Centre of ExcellenceUniversiti Malaysia Perlis(UniMAP)Pauh Putra CampusArauPerlis02600Malaysia Faculty of Electronic Engineering&Technology Universiti Malaysia PerlisUniCITI Alam CampusSungai ChuchuhPadang BesarPerlis02100Malaysia Department of Computer Technical Engineering College of Technical EngineeringThe Islamic UniversityNajaf54003Iraq Department of Pathology Hospital Tuanku FauziahKangarPerlis02000Malaysia Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University CollegeBabylonHillah51001Iraq

Cervical cancer is a prevalent and deadly cancer that affects women all over the *** affects about 0.5 million women anually and results in over 0.3 million *** of this cancer was previously done manually,which could result in false positives or *** researchers are still contemplating how to detect cervical cancer automatically and how to evaluate Pap smear ***,this paper has reviewed several detection methods from the previous researches that has been done *** paper reviews pre-processing,detection method framework for nucleus detection,and analysis performance of the method *** are four methods based on a reviewed technique from previous studies that have been running through the experimental procedure using Matlab,and the dataset used is established Herlev *** results show that the highest performance assessment metric values obtain from Method 1:Thresholding and Trace region boundaries in a binary image with the values of precision 1.0,sensitivity 98.77%,speciﬁcity 98.76%,accuracy 98.77%and PSNR 25.74%for a single type of ***,the average values of precision were 0.99,sensitivity 90.71%,speciﬁcity 96.55%,accuracy 92.91%and PSNR 16.22%.The experimental results are then compared to the existing methods from previous *** show that the improvement method is able to detect the nucleus of the cell with higher performance assessment *** the other hand,the majority of current approaches can be used with either a single or a large number of cervical cancer smear *** study might persuade other researchers to recognize the value of some of the existing detection techniques and offer a strong approach for developing and implementing new solutions.

关键词： Cervical cancer Detection Pap smear Images

Long-Term Outcomes after Coronary Artery Bypass Grafting with Risk Stratification

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World Journal of Cardiovascular Diseases 2023年第8期13卷 493-510页

作者： Ayman R. Abdelrehim Ibraheem H. al Harbi Hasan I. Sandogji Faisal A. alnasser Mohammad Nizam S. H. Uddin Fatma A. Taha Fareed A. alnozaha Fath A. alabsi shakir ahmed Waheed M. Fouda Amir A. El Said Tousif Khan ahmed M. Shabaan Cardiac Surgery Department Madinah Cardiac Center Madinah Saudi Arabia Cardiothoracic Surgery Department Faculty of Medicine Menoufia University Minufya Egypt Cardiology Department Madinah Cardiac Center Madinah Saudi Arabia Cardiac Anesthesia Department Madinah Cardiac Center Madinah Saudi Arabia Cardiology Department Faculty of Medicine Tanta University Tanta Egypt Cardiothoracic Surgery Department Faculty of Medicine Suez Canal University Ismailia Egypt

Background: Risk stratification of long-term outcomes for patients undergoing Coronary artery bypass grafting has enormous potential clinical importance. Aim: To develop risk stratification models for predicting long-term outcomes following coronary artery bypass graft (CABG) surgery. Methods: We retrospectively revised the electronic medical records of 2330 patients who underwent adult Cardiac surgery between August 2016 and December 2022 at Madinah Cardiac Center, Saudi Arabia. Three hundred patients fulfilled the eligibility criteria of CABG operations with a complete follow-up period of at least 24 months, and data reporting. The collected data included patient demographics, comorbidities, laboratory data, pharmacotherapy, echocardiographic parameters, procedural details, postoperative data, in-hospital outcomes, and follow-up data. Our follow-up was depending on the clinical status (NYHA class), chest pain recurrence, medication dependence and echo follow-up. A univariate analysis was performed between each patient risk factor and the long-term outcome to determine the preoperative, operative, and postoperative factors significantly associated with each long-term outcome. Then a multivariable logistic regression analysis was performed with a stepwise, forward selection procedure. Significant (p all-cause mortality during hospital admission or follow-up period was 2.3%. Other long-term outcomes included all-cause recurrent hospitalization (9.8%), recurrent chest pain (2.4%), and the need for revascularization by using a stent in 5 (3.0%) patients. Thirteen (4.4%) patients suffered heart failure and they were on the maximum anti-failure medications. The model for predicting all-cause mortality included the preoperative EF ≤ 35% (AOR: 30.757, p = 0.061), the bypass time (AOR: 1.029, p = 0.003), and the dur

关键词： Coronary Artery Bypass Graft Long-Term Mortality Risk Prediction Model Risk Stratification

Long-Term Outcomes after Coronary Artery Bypass Grafting with Risk Stratification

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