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Journal of Systems Science & Complexity 2020年第6期33卷 1804-1846页

作者： al-hussein abdulrahman GHERBal Boulakhras Department of Mathematics College of ScienceQassim UniversityBuraydah 51452Saudi Arabia Laboratory of Mathematical Analysis Probability and OptimizationUniversity of Mohamed KhiderBiskrua07000Algeria

This paper derives necessary and sufficient conditions of optimality in the form of a stochastic maximum principle for relaxed and strict optimal control problems with *** problems are governed by multi-dimensional forward-backward doubly stochastic differential equations(FBDSDEs)with Poisson jumps and has firstly relaxed controls,which are measure-valued processes,and secondly,as an application,the authors allow them to have strict *** FBDSDEs with jumps are fully-coupled,the forward and backward equations work in different Euclidean spaces in general,the backward equation is Markovian,and the control problems are considered under full information or partial information in terms ofσ-algebras that provide such *** formulation of these equations as well as performance functionals are given in abstract forms to allow the possibility to cover most of the applications available in the ***,coefficients of such equations are allowed to depend on control variables.

关键词： Adjoint equations forward-backward doubly stochastic differential equations maximum principle necessary conditions Poisson process relaxed control strict control sufficient conditions

Application of machine learning and deep learning in geothermal resource development: Trends and perspectives

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Deep Underground Science and Engineering 2024年第3期3卷 286-301页

作者： abdulrahman al‐Fakih Abdulazeez Abdulraheem Sanlinn Kaka College of Petroleum Engineering and Geosciences King Fahd University of Petroleum MineralsDhahranSaudi Arabia

This study delves into the latest advancements in machine learning and deep learning applications in geothermal resource development,extending the analysis up to *** focuses on artificial intelligence's transformative role in the geothermal industry,analyzing recent literature from Scopus and Google Scholar to identify emerging trends,challenges,and future *** results reveal a marked increase in artificial intelligence(AI)applications,particularly in reservoir engineering,with significant advancements observed post‐*** study highlights AI's potential in enhancing drilling and exploration,emphasizing the integration of detailed case studies and practical *** also underscores the importance of ongoing research and tailored AI applications,in light of the rapid technological advancements and future trends in the field.

关键词： artificial intelligence deep learning geothermal energy development machine learning

Tuning the optoelectronic properties for small organic compounds as organic solar cell applications

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Optoelectronics Letters 2024年第7期20卷 412-417页

作者： hussein K.Mejbel Lafy F.al-Badry Department of Physics College of Education for Pure ScienceUniversity of Thi-QarNassiriya 64001Iraq Department of Physics College of ScienceUniversity of Thi-QarNassiriya 64001Iraq1

Recently,organic solar cells have attracted the attention of many researchers owing to flexibility,low cost,light weight and large-area applications,and significant improvement in the power conversion efficiency(PCE).In this work,we designed chains from organic compounds as donors and replaced the core unit in each series with a variety of acceptors in order to enhance their optical and electronic characterization and performance for power conversion efficiencies in organic solar *** utilized density functional theory(DFT)and time-dependent density functional theory(TD-DFT)to investigate the geometry optimization by using the Gaussian 09 *** electronic and optical properties were determined,which involve the lowest unoccupied molecular orbital(LUMO)and the highest occupied molecular orbital(HOMO)levels,the band gap energy,maximum absorption wavelength(λ_(max)),open circuit voltage(V_(oc)),and light harvesting efficiency(LHE).Our evaluation denotes that the small compounds suggested are predicted to exhibit the best performance compared to the first series(SC1),like a lower band gap energy,a lower HOMO energy level,a greater absorption range,and a larger PCE.

关键词： orbital occupied compounds

An Optimized Approach to Deep Learning for Botnet Detection and Classification for Cybersecurity in Internet of Things Environment

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Computers, Materials & Continua 2024年第8期80卷 2331-2349页

作者： abdulrahman alzahrani Department of Computer Science and Engineering College of Computer Science and EngineeringUniversity of Hafr Al BatinP.O.Box 1803Hafr Al Batin39524Saudi Arabia

The recent development of the Internet of Things(IoTs)resulted in the growth of IoT-based DDoS *** detection of Botnet in IoT systems implements advanced cybersecurity measures to detect and reduce malevolent botnets in interconnected *** detection models evaluate transmission patterns,network traffic,and device behaviour to detect deviations from usual *** learning(ML)techniques detect patterns signalling botnet activity,namely sudden traffic increase,unusual command and control patterns,or irregular device *** addition,intrusion detection systems(IDSs)and signature-based techniques are applied to recognize known malware signatures related to *** ML and deep learning(DL)techniques have been developed to detect botnet attacks in IoT *** overcome security issues in an IoT environment,this article designs a gorilla troops optimizer with DL-enabled botnet attack detection and classification(GTODL-BADC)*** GTODL-BADC technique follows feature selection(FS)with optimal DL-based classification for accomplishing security in an IoT *** data preprocessing,the min-max data normalization approach is primarily *** GTODL-BADC technique uses the GTO algorithm to select features and elect optimal feature ***,the multi-head attention-based long short-term memory(MHA-LSTM)technique was applied for botnet ***,the tree seed algorithm(TSA)was used to select the optimum hyperparameter for the MHA-LSTM *** experimental validation of the GTODL-BADC technique can be tested on a benchmark *** simulation results highlighted that the GTODL-BADC technique demonstrates promising performance in the botnet detection process.

关键词： Botnet detection internet of things gorilla troops optimizer hyperparameter tuning intrusion detection system

Near-zero stiffness accelerometer with buckling of tunable electrothermal microbeams

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Microsystems & Nanoengineering 2024年第2期10卷 67-81页

作者： hussein hussein Chen Wang Rui Amendoeira Esteves Michael Kraft Hossein Fariborzi Department of Mechanical Engineering MSFEAAmerican University of BeirutBeirut11072020Lebanon King Abdullah University of Science and Technology Thuwal23955-6900Saudi Arabia ESAT-MNS University of Leuven3001LeuvenBelgium

Pre-shaped microbeams,curved or inclined,are widely used in MEMS for their interesting stiffness *** mechanisms allow a wide range of positive and negative stiffness tuning in their direction of motion.A mechanism of pre-shaped beams with opposite curvature,connected in a parallel configuration,can be electrothermally tuned to reach a near-zero or negative stiffness behavior at the as-fabricated *** simple structure helps incorporate the tunable spring mechanism in different designs for accelerometers,even with different transduction *** sensitivity of the accelerometer can be considerably increased or tuned for different applications by electrothermally changing the stiffness of the spring *** inclined beams are implemented in a capacitive micromachined *** measurements on fabricated prototypes showed more than 55 times gain in sensitivity compared to their initial *** experiments showed promising results in enhancing the resolution of acceleration sensing and the potential to reach unprecedent performance in micromachined accelerometers.

关键词： properties. mechanism. stiffness

Methylmalonic Acidemia: An Unusual Cause of Chronic Renal Disease in Adults

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Open Journal of Nephrology 2024年第3期14卷 334-339页

作者： Kamel El Reshaid abdulrahman al Kanderi Department of Medicine Faculty of Medicine Kuwait University Kuwait City Kuwait Department of Nephrology Al-Jahra Hospital Ministry of Health Kuwait City Kuwait

Background: Methylmalonic aciduria (MMA) is a genetic disorder of aminoacid metabolism, due to mutations in methylmalonyl-CoA mutase, which leads to the accumulation of methylmalonic acid in body fluids. Patients typically present at the age of 1 month to 1 year with dehydration, renal impairment as well as neurologic manifestations viz. seizure, encephalopathy, strokes and disease in the globus pallidi. The case: a 26-year-old man presented with severe acute on top of chronic renal disease with serum creatinine at 590 umol/L and bilateral 8 cm kidneys with thin and echogenic cortex. He had: (a) hypernatremic dehydration, metabolic acidosis and high ammonia level with (b) a history of multiple similar attacks since the age of 8 months. Diagnosis of MMA was confirmed by high serum and urine enzymatic levels as well as genetic testing. His initial management included support with replacements of fluids, electrolytes, and bicarbonates as well as intravenous dextrose, vitamin B12 and broad-spectrum antibiotic (Meropenem) for his chest infection. Subsequently, he received 1) CARBAGLU (carglumic acid) for 7 days to lower his ammonia level to Conclusion: Untreated homozygous MMA variants, can achieve adulthood with significant renal disease yet their morbidity and mortality can be ameliorated with diet and specific therapy.

关键词： Methylmalonic Acidemia Kidney Failure Metabolic Acidosis Autosomal Recessive Amino Acid Disorder Kreps Cycle Hyperammonia Vitamin 12 Carnitine

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

Synthesis and characterization of nanocarbon from waste batteries via an eco-friendly method

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Waste Disposal and Sustainable Energy 2024年第2期6卷 197-208页

作者： Maraim Kh.Uoda hussein Q.hussein Rana R.Jalil Chemical Engineering Department College of EngineeringUniversity of BaghdadBaghdadIraq Thi.Qar Oil Company NassriyaIraq Petroleum Research and Development Center BaghdadIraq

The widespread use of disposable batteries to power common electronic devices is a major source of *** are growing environmental and health concerns due to the expansion of e-waste around the ***,developing a reli-able system for recycling old batteries has reached the top of the recycling priority *** current study presents a novel approach to synthesis carbon nanoparticles(CNPs)from spent batteries via an eco-friendly method that offers economical,environment-friendly,and nontoxic approaches in comparison to conventional chemical *** synthesized nano-particles were characterized by field emission scanning electron microscopy(FE-SEM),energy-dispersive X-ray(EDX),powder X-ray diffractometry(XRD),UV-VIS absorption analysis(UV),Fourier transform infrared spectroscopy(FT-IR),Atomic force microscope(AFM),and thermo-gravimetric analysis(TGA).The average diameter of the synthesized particles was 40.16 nm,and the particles tended to be aspherical in *** analysis also predicted the presence of pure carbon,with some contamination arrived at 15%(in weight).This is a novel study in which nanocarbons were synthesized in a brine(7600x10-6)from a target(CNPs>75 nm),which paves the way for future use of CNPs derived from spent batteries and helps the environment by decreasing the amount of electronic waste dumped in landfills.

关键词： Novel Zn-C battery Carbon nanoparticles Characterization Eco-friendly methods

Effect of Ozone Treatment on Microbiological Properties of Stored Wheat

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Food and Nutrition Sciences 2024年第2期15卷 140-150页

作者： hussein al-Sahho Hakan Kuleaşan Department of Food Engineering Suleyman Demirel University Isparta Türkiye

In this study, ozone gas was applied to samples of durum wheat stored in four experimental groups (durum wheat without any treatment for comparison, durum wheat treated with ozone, purified durum wheat, and purified durum wheat treated with ozone). Two groups were treated with ozone gas at 3 ppm concentration for 1 hour. Groups were then placed in air-tight glass jars and stored for 6 months at variable temperatures between 24.7°C to 34.8°C. Microbiological (total count bacteria, yeast/molds and coliform) and physical properties (moisture, color and ash) evaluated. Ozone application statistically caused a significant reduction in the numbers of bacteria, yeast, molds and coliforms. Ozone application, washing process and storage temperature are the major factors affecting the microbial counts. No significant differences were determined in moisture and ash contents of samples after ozone treatment. The color measurement results showed that color values of wheat samples were affected by ozone treatment, storage and washing.

关键词： Wheat Storage Ozone Application Wheat Impurities Microbial Enumeration

Flow Regimes in Bubble Columns with and without Internals: A Review

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Fluid Dynamics & Materials Processing 2024年第2期20卷 239-256页

作者： Ayat N.Mahmood Amer A.abdulrahman Laith S.Sabri Abbas J.Sultan Hasan Shakir Majdi Muthanna H.al-Dahhan Department of Chemical Engineering University of Technology-IraqBaghdadIraq Chemical and Petroleum Industries Engineering Department Al-Mustaqbal University CollegeBabylonIraq Department of Chemical and Biochemical Engineering Missouri University of Science and TechnologyRollaUSA

Hydrodynamics characterization in terms ofﬂow regime behavior is a crucial task to enhance the design of bubble column reactors and scaling up related *** review presents recent studies on the typicalﬂow regimes established in bubble *** effort is also provided to introduce relevant deﬁnitions pertaining to thisﬁeld,namely,that of“void fraction”and related(local,chordal,cross-sectional and volumetric)*** studies involving different parameters that affect design and operating conditions are also discussed in *** the second part of the review,the attention is shifted to cases with internals of various types(perfo-rated plates,bafﬂes,vibrating helical springs,mixers,and heat exchanger tubes)immersed in the bubble *** is shown that the presence of these elements has a limited inﬂuence on the global column ***,they can make the homogeneousﬂow regime more stable in terms of transition gas velocity and transi-tion holdup *** last section is used to highlight gaps which have not beenﬁlled yet and future directions of investigation.

关键词： Hydrodynamics ﬂow regime bubble column heat-exchanging internals