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Optimized pa.allel architecture of evolutionary neural network for mass spectrometry data processing

International Journal of Modeling, Simulation, and Scientific Computing 2017年第1期8卷 231-257页

作者： Amin jarrah Bashar Haddad mohammad a.al-jarrah Muhammad Bassam Obeidat Department of Computer Engineering Yarmouk University Irbid 21163Jordan Computer Engineering Department The University of Jordan Amman 11942Jordan Department of Computer Engineering Jordan University of Science and Technology Irbid 22110 Jordan

Evolutionary neural network(ENN)shows high performance in function optimization and in finding approximately global optima from searching large and complex *** is one of the most efficient and adaptive optimization techniques used widely to provide candidate solutions that lead to the fitness of the *** has the extraordinary ability to search the global and learning the approximate optimal solution regardless of the gradient information of the error ***,ENN requires high computation and processing which requires pa.allel processing platforms such as field programmable gate arrays(FPGAs)and graphic processing units(GPUs)to achieve a good *** work involves different new implementations of ENN by exploring and adopting different techniques and opportunities for pa.allel *** versions of ENN algorithm have also been implemented and pa.allelized on FPGAs platform for low latency by exploiting the pa.allelism and pipelining *** data form mass spectrometry data(MSD)application was tested to examine and verify our *** is a very important and extensive computation application which needs to search and find the optimal features(peaks)in MSD in order to distinguish cancer patients from control *** algorithm is also implemented and pa.allelized on single core and GPU platforms for comparison *** computation time of our optimized algorithm on FPGA and GPU has been improved by a factor of 6.75 and 6,respectively.

关键词： Genetic algorithm neural networks evolutionary neural network fieldprogrammable gate array(FPGA) graphic processing unit(GPU) pa.allel architecture optimization techniques

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Esophageal ulceration complicating doxycycline therapy

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World Journal of Gastroenterology 2003年第3期9卷 609-611页

作者： mohammad a.al-Mofarreh Ibrahim a.al Mofleh Consultant Physician & Gastroenterologist Poly ClinicCollege of MedicineKing Saud UniversityRiyadhSaudi Arabia Professor of Medicine College of MedicineKing Saud UniversityRiyadh

AIM;TO report present state of iatrogenic drug-induced esophageal injury(DIEI)induced by medications in a private clinic. METHODS:Iatrogenic drug-induced esophageal injury (DIEI)induced by medications has been more frequently *** a private clinic we encountered 36 cases of esophageal ulcerations complicating doxycycline therapy in a mainly younger Saudi population(median age 29 years). RESULTS:The most frequent presenting symptoms were odynophagia,retrosternal burning pain and dysphagia(94 %, 75 % and 56 %,respectively).The diagnosis was according to medical history and confirmed by endoscopy in all patients. Beside withdra.al of doxycycline,when feasible,all patients were treated with a proton-pump inhibitor(PPI)and a *** patients who reported to the clinic after treatment were improved within 1-7(median 1.7)days. CONCLUSION:Esophageal ulceration has to be suspected in younger patients with odynophagia,retrosternal burning pain and/or dysphagia during the treatment with doxycycline.

关键词： Adolescent Adult Aged Child Doxycycline Esophageal Diseases Female Humans Iatrogenic Disease Male Middle Aged Retrospective Studies Ulcer

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Effect of elevated temperature and silica sand particle size on minimum fluidization velocity in an atmospheric bubbling fluidized bed

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Chinese Journal of Chemical Engineering 2020年第12期28卷 2985-2992页

作者： a.al-Farraji Haidar Taofeeq Chemical Engineering Department College of EngineeringAl-Nahrain UniversityBaghdadIraq Prosthetics and Orthotics Engineering Department College of EngineeringAl-Nahrain UniversityBaghdadIraq

The impact of temperature and particle size on minimumfluidizing velocity was studied and a.alyzed in a small pilot scale of bubbling fluidized bed *** study was devoted to providing some data about fluidization to the literature under high temperature *** experiments were carried out to evaluate the minimum fluidizing velocity over a vast range of temperature levels from 20℃ to 850℃ using silica sand with a particle size of 300-425μm,425-500μm,500-600μm,and 600-710μ***,the variation in the minimumfluidized voidage was determined experimentally at the same *** experimental data revealed that the Umf directly varied with particle size and inversely with temperature,whileεmf increases slightly with temperature based on the measurements of height at incipient ***,for all particle sizes used in this test,temperatures above 700℃ has a marginal effect on *** results were compared with many empirical equations,and it was found that the experimental result is still in an acceptable range of empirical equations *** which,our findings are not well predicted by the widely accepted correlations reported in the ***,a new predicted equation has been developed that also accounts for the affecting of mean particle size in addition to other parameters.A good mean relative deviation of 5.473% between the experimental data and the predicted values was estimated from the correlation of the effective dimensionless ***,the experimental work revealed that the minimum fluidizing velocity was not affected by the height of the bed even at high temperature.

关键词： Minimum fluidization velocity Voidage Elevated temperature Silica sand Fluidized bed Bed height

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Temperature-dependent Raman scattering and photoluminescence in YBa2Cu3O7 doped with SiO2 and Zn0.95Mn0.05O nanoparticles:comparative study

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Rare Metals 2019年第8期38卷 754-763页

作者： Munirah a.al Messiere Department of Physics College of ScienceImam Abdulrahman Bin Faisal University

A combined study examining the temperature dependencies of Raman scattering and photoluminescence(PL)of a YBa2 Cu3 O7(YBCO)matrix doped with SiO2(12 nm;0.01 wt%.,0.10 wt%)and Zn0.95Mn0.05O(20 nm;0.02 wt%,0.10 wt%)nanoparticles was presented.X-ray diffraction(XRD)a.alysis confirms that both YBCO types exhibit aperovskite structure with the orthorhombic Pmmm *** microstructure was examined using environmental scanning electron microscopy(ESEM).Raman scattering and photoluminescence measurements as functions of temperature were conducted in the 77-837 K *** photoluminescence intensity is observed to decrease for the doped YBCO than for the pure YBCO,because of localized *** photoluminescence spectrum is primarily composed of three bands at 1.60,1.88,and 2.40 eV.A clearly pronounced correlation is observed between electronic and structural changes in the doped YBCO,which is due to the temperature,illumination,added oxygen or metal ions,and spectral *** PL integrated intensity as a function of the inverse temperature was simulated using the Arrhenius *** a.alysis reveals that the energy exchange between the different levels in the pure and doped YBCO was conducted via two vibration modes only,which are strongly linked to the oxygen and copper atoms in the YBCO *** temperature dependencies of the modes at 340 and 500 cm-1 exhibit softening with temperature increase,resulting from microstructure control,which may be due to small concentrations of Si,Zn,and Mn substitutions at the chain Cu(1)and plane Cu(2)sites.

关键词： Matrix YBa2Cu3O7 Nanoparticles Raman scattering Raman modes Photoluminescence spectra

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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

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Hydromechanical behavior of unsaturated expansive clay under repetitive loading

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第5期13卷 1136-1146页

作者： Ahmed M.al-Mahbashi Mosleh a.al-Shamrani mohammad F.Abbas Bugshan Research Chair in Expansive Soils Department of Civil EngineeringKing Saud UniversityRiyadh11421Saudi Arabia Civil Engineering Department Prince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Soil Mechanics and Geotechnical Engineering Research Institute Housing and Building National Research Center(HBRC)Giza11511Egypt

Compacted layers of expansive soils are used in different engineering projects,such as subgrades,engineered clay barriers,and buffers for radioactive waste *** layers are exposed to a variety of stresses and wetting conditions during field *** between hydraulic and mechanical repeated loading provides insight understanding to the induced progressive deformation of expansive *** study was conducted to investigate the hydromechanical behavior of unsaturated compacted expansive clay under repeated loadingeunloading(RLU)*** series of onedimensional(1D)oedometer tests were conducted under controlled matric suction up to 1500 kPa using the axis translation technique(Fredlund soil-water characteristic curve device,SWC-150).The first test series was carried out at different levels of controlled matric suction for non-repeated loading eunloading(NRLU)*** cycles were applied in the second test series at different repetitivestress levels and under different levels of matric *** results indicated increasing axial wetting strainε_(a)(s),axial swell pressure ss(s),compression index C_(c)(s),and swell index C_(s)(s)with suction *** estimated loadecollapse(LC)curves obtained from NRLU series(LCN)and RLU series(LCR)indicated increasing yield stress sy(s)with increasing *** is attributed to the developed apparent cohesion between soil particles,which in turn rigidifies the material *** repetitive loading induced a notable reduction of compression index C_(c)(s)at the same level of suction,whereas swell index C_(s)(s)seems to be independent of repetitive ***,repetitive loading exceeding initial yield stresses results in plastic hardening and,hence,enlargement of yield stress locus(*** curve).

关键词： Expansive clay Repetitive loading Suction Hydromechanical behavior Loadecollapse curve

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Determination of shear strength of steel fiber RC beams:application of data-intelligence models

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Frontiers of Structural and Civil Engineering 2019年第3期13卷 667-673页

作者： Abeer a.al-MUSAWI Projects and Reconstruction Department University of BaghdadBaghdadIraq

Accurate prediction of shear strength of structural engineering components can yield a magnificent information modeling and predesign *** paper aims to determine the shear strength of steel fiber reinforced concrete beams using the application of data-intelligence models namely hybrid artificial neural network integrated with particle swarm *** the considered data-intelligence models,the input matrix attribute is one of the central element in attaining accurate predictive ***,various input attributes are constructed to model the shear strength"as a targeted variable".The modeling is initiated using historical published researches steel fiber reinforced concrete beams *** variables are used as input attribute combination including reinforcement ratio(ρ%),concrete compressive strength(f′c),fiber factor(F1),volume percentage of fiber(Vf),fiber length to diameter ratio(lf/ld)effective depth(d),and shear span-to-strength ratio(a/d),while the shear strength(SS)is the output of the *** best network structure obtained using the network having ten nodes and one hidden *** final results obtained indicated that the hybrid predictive model of ANN-PSO can be used efficiently in the prediction of the shear strength of fiber reinforced concrete *** more representable details,the hybrid model attained the values of root mean square error and correlation coefficient 0.567 and 0.82,respectively.

关键词： hybrid intelligence model shear strength prediction steel fiber reinforced concrete

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Identification of Tuberculosis and Coronavirus Patients Using Hybrid Deep Learning Models

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Computers, Materials & Continua 2023年第7期76卷 881-894页

作者： Mohammed a.al Ghamdi Computer Science Department Umm Al-Qura UniversityMakkah City24243Saudi Arabia

Considerable resources,technology,and efforts are being utilized worldwide to eradicate the *** certain measures taken to prevent the further spread of the disease have been successful,efforts to completely wipe out the coronavirus have been *** patients have symptoms similar to those of chest Tuberculosis(TB)or pneumonia *** tuberculosis and coronavirus are similar because both diseases affect the lungs,cause coughing and produce an irregular respiratory *** diseases can be confirmed through X-ray *** is a difficult task to diagnose COVID-19,as coronavirus testing kits are neither excessively available nor very *** addition,specially trained staff and specialized equipment in medical laboratories are needed to carry out a coronavirus ***,most of the staff is not fully trained,and several laboratories do not have special equipment to perform a coronavirus ***,hospitals and medical staff are under stress to meet necessary *** of the time,these staffs confuse the tuberculosis or pneumonia patient with a coronavirus patient,as these patients present similar *** meet the above challenges,a comprehensive solution based on a deep learning model has been proposed to distinguish COVID-19 patients from either tuberculosis patients or healthy *** framework contains a fusion of Visual Geometry Group from Oxford(VGG16)and Residual Network(ResNet18)algorithms as VGG16 contains robust convolutional layers,and Resnet18 is a good *** proposed model outperforms other machine learning and deep learning models as more than 94%accuracy for multiclass identification has been achieved.

关键词： Tuberculosis coronavirus X-ray deep learning VGG16 and ResNet18

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Status and prospects for symmetric organic redox flow batteries

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Journal of Energy Chemistry 2025年第1期100卷 125-143页

作者： Md al Raihan C.Adam Dyker Department of Chemistry University of New Brunswick

As environmental concerns from fossil fuel consumption intensify, large-scale energy storage becomes imperative for the integration of renewable sources like wind, hydro, and solar with the electrical *** flow batteries, particularly those employing organic molecules, are positioned as a key technology for this purpose. This review explores the growing field of symmetric organic redox flow batteries(ORFBs) within this context. Unlike traditional asymmetric designs based on unique active materials for each electrode, symmetric ORFBs involve a single bipolar species for both electrodes. This review highlights the benefits of a symmetric design, and categorizes five distinct classes of organic bipolar molecules used in both aqueous and non-aqueous solvents. By providing a comprehensive overview of their cell cycling and performance characteristics, the strengths and weaknesses of the diverse categories of bipolar molecules are highlighted for both solvent systems, as are opportunities for future development. This should guide new research directions and advance the development of practical symmetric ORFBs.

关键词： Redox flow battery Symmetric battery Organic battery Aqueous electrolyte Non-aqueous electrolyte

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A Review of Image Steganography Based on Multiple Hashing algorithm

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Computers, Materials & Continua 2024年第8期80卷 2463-2494页

作者： Abdullah alenizi mohammad Sajid mohammadi Ahmad a.al-Hajji Arshiya Sajid Ansari Department of Information Technology College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Science College of Engineering and Information TechnologyOnaizah CollegesQassim56312Saudi Arabia

Steganography is a technique for hiding secret messages while sending and receiving communications through a cover *** ancient times to the present,the security of secret or vital information has always been a significant *** development of secure communication methods that keep recipient-only data transmissions secret has always been an area of ***,several approaches,including steganography,have been developed by researchers over time to enable safe data *** this review,we have discussed image steganography based on Discrete Cosine Transform(DCT)algorithm,*** have also discussed image steganography based on multiple hashing algorithms like the Rivest–Shamir–Adleman(RSA)method,the Blowfish technique,and the hash-least significant bit(LSB)*** this review,a novel method of hiding information in images has been developed with minimal variance in image bits,making our method secure and effective.A cryptography mechanism was also used in this *** encoding the data and embedding it into a carry image,this review verifies that it has been ***,embedded text in photos conveys crucial signals about the *** review employs hash table encryption on the message before hiding it within the picture to provide a more secure method of data *** the message is ever intercepted by a third party,there are several ways to stop this operation.A second level of security process implementation involves encrypting and decrypting steganography images using different hashing algorithms.

关键词： Image steganography multiple hashing algorithms Hash-LSB approach RSa.algorithm discrete cosine transform(DCT)algorithm blowfish algorithm

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