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Human Gait Recognition for Biometrics Application Based on Deep Learning Fusion Assisted Framework

Computers, Materials & Continua 2024年第1期78卷 357-374页

作者： Ch Avais Hanif Muhammad Ali Mughal Muhammad Attique Khan Nouf abdullah Almujally Taerang Kim Jae-Hyuk Cha Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Hanyang UniversitySeoul04763Korea

The demand for a non-contact biometric approach for candidate identification has grown over the past ten *** on the most important biometric application,human gait analysis is a significant research topic in computer *** have paid a lot of attention to gait recognition,specifically the identification of people based on their walking patterns,due to its potential to correctly identify people far *** recognition systems have been used in a variety of applications,including security,medical examinations,identity management,and access *** systems require a complex combination of technical,operational,and definitional *** employment of gait recognition techniques and technologies has produced a number of beneficial and well-liked *** proposes a novel deep learning-based framework for human gait classification in video *** framework’smain challenge is improving the accuracy of accuracy gait classification under varying conditions,such as carrying a bag and changing *** proposed method’s first step is selecting two pre-trained deep learningmodels and training fromscratch using deep transfer ***,deepmodels have been trained using static hyperparameters;however,the learning rate is calculated using the particle swarmoptimization(PSO)***,the best features are selected from both trained models using the Harris Hawks controlled Sine-Cosine optimization *** algorithm chooses the best features,combined in a novel correlation-based fusion ***,the fused best features are categorized using medium,bi-layer,and tri-layered neural *** the publicly accessible dataset known as the CASIA-B dataset,the experimental process of the suggested technique was carried out,and an improved accuracy of 94.14% was *** achieved accuracy of the proposed method is improved by the recent state-of-the-art techniques that show the significance of this wor

关键词： Gait recognition covariant factors biometric deep learning fusion feature selection

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Nanomaterial-assisted wearable glucose biosensors for noninvasive real-time monitoring:Pioneering point-of-care and beyond

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Nano Materials Science 2024年第3期6卷 263-283页

作者： Moein Safarkhani abdullah Aldhaher Golnaz Heidari Ehsan Nazarzadeh Zare Majid Ebrahimi Warkiani Omid Akhavan YunSuk Huh Navid Rabiee NanoBio High-Tech Materials Research Center Department of Biological Sciences and BioengineeringInha UniversityIncheon22212Republic of Korea Department of Chemistry Sharif University of TechnologyTehranIran School of Natural Sciences Massey UniversityPrivate Bag 11222Palmerston North4410New Zealand School of Chemistry Damghan UniversityDamghan36716-45667Iran School of Biomedical Engineering University of Technology SydneySydneyNSW2007Australia Department of Physics Sharif University of TechnologyP.O.Box 11155-9161TehranIran Centre for Molecular Medicine and Innovative Therapeutics Murdoch UniversityPerthWA 6150Australia School of Engineering Macquarie UniversitySydneyNew South Wales2109Australia

This review explores glucose monitoring and management strategies,emphasizing the need for reliable and userfriendly wearable sensors that are the next generation of sensors for continuous glucose *** addition,examines key strategies for designing glucose sensors that are multi-functional,reliable,and cost-effective in a variety of *** unique features of effective diabetes management technology are highlighted,with a focus on using nano/biosensor devices that can quickly and accurately detect glucose levels in the blood,improving patient treatment and control of potential diabetes-related *** potential of next-generation wearable and touch-sensitive nano biomedical sensor engineering designs for providing full control in assessing implantable,continuous glucose monitoring is also *** challenges of standardizing drug or insulin delivery doses,low-cost,real-time detection of increased blood sugar levels in diabetics,and early digital health awareness controls for the adverse effects of injectable medication are identified as unmet ***,the market for biosensors is expected to expand significantly due to the rising need for portable diagnostic equipment and an ever-increasing diabetic *** paper concludes by emphasizing the need for further research and development of glucose biosensors to meet the stringent requirements for sensitivity and specificity imposed by clinical diagnostics while being cost-effective,stable,and durable.

关键词： Glucose sensor Biosensor Wearable devices Noninvasive Real-time monitoring

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Method Verification and Validation of Hydralazine Hydrochloride: Spectrophotometric Analysis in Pure and Pharmaceutical Formulations

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American Journal of Analytical Chemistry 2024年第7期15卷 219-228页

作者： Laila abdullah Alshatti The Public Authority for Applied Education and Training College of Nursing General Science Department Shwaikh B State of Kuwait

The new method proposed is based on the formation of hydralazine-Bromophenol blue ion pair simply and without further extraction or heating. The ion pair was prepared in the presence of pH 3 citrate buffer forming a yellow-colored chromogen. A new maximum UV-visible band formed at 416 nm. The color was stable for more than 10 hours and obeyed Beer’s Law over the concentration range of 10 - 50 µg/mL. The calculated molar absorptivity and Sandell’s sensitivity were 1.01 × 104 L∙mol−1∙cm−1 and 0.0514 µg/mL, respectively. The elements of method validation stipulated by The International Conference on Harmonization [Q2 (R1)] were applied for hydralazine hydrochloride assay in pure and pharmaceutical tablet formulation. The average recoveries of the pure solution and the pharmaceutical formulation were 98.94% and 99.50%, respectively. The results were statistically compared by F-test, which indicates that the method can be precise and repeatable for both pure and pharmaceutical solutions. The method was found to be accurate, reproducible, and cost-effective, and validated for the assay of hydralazine in terms of the routine quality control.

关键词： Spectrophotometry Validation Hydralazine Hydrochloride International Conference on Harmonization Q2 (R1)

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Twinning aspects and their efficient roles in wrought Mg alloys:A comprehensive review

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Journal of Magnesium and Alloys 2024年第6期12卷 2201-2230页

作者： S.S.A.Shah Manping Liu Azim Khan Farooq Ahmad M.R.abdullah Xingquan Zhang Shiwei Xu Zhen Peng School of Materials Science and Engineering Jiangsu UniversityZhenjiang 212013China School of Mechanical Engineering Anhui University of TechnologyMáanshan 243002China College of Mechanical and Vehicle Engineering Hunan UniversityChangsha 410082China

Twinning is widely recognized as an effective and cost-efficient method for controlling the microstructure and properties of wrought magnesium(Mg)***,twins play a crucial role in initiating dynamic recrystallization(DRX),while twin regions experience rapid recrystallization during static recrystallization(SRX).The activation of twinning can lead to changes in lattice orientation,significantly impacting the final texture in Mg *** active roles of twinning are influenced by various factors during the activation process,and the mobility of twin boundaries(TB)can be amplified by stress effects,dislocation interactions,and thermal ***,annealing treatments that involve proper segregation or precipitation on TBs serve to stabilize them,restraining their *** such as segregation may also alter the twinning propensity in Magnesium-rare earth(Mg-RE)***{10–11}contraction twins(CT)and{10–11}-{10–12}double twins(DT)can promote dynamic recrystallization(DRX),they also pose a risk as potential sources of voids and ***,understanding the nucleation and growth mechanisms of twinning is crucial,and these aspects are briefly reviewed in this *** the factors mentioned above,this article summarizes the recent research progress in this field,shedding light on advancements in recent eras.

关键词： Mg alloys Twinning Recrystallization Texture Mechanical properties

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Dust particle surface potential in an argonhelium plasma using the(r,q)-distribution function

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Communications in Theoretical Physics 2024年第9期76卷 141-148页

作者： Bahaaudin M Raffah A A Abid abdullah Khan Amin Esmaeili Yas Al-Hadeethi M N S Qureshi Department of Physics Faculty of SciencesKing Abdulaziz UniversityJeddah 21589Saudi Arabia Lithography in Devices Fabrication and Development Research Group Deanship of Scientific ResearchKing Abdulaziz UniversityJeddah 21589Saudi Arabia Joint Laboratory of Plasma Application Technology Institute of Advanced TechnologyUniversity of Science and Technology of ChinaHefei230026China CAS Key Laboratory of Geospace Environment University of Science and Technology of ChinaHefei230026China Department of Physics Zhejiang Normal UniversityJinhua321005China Department of Physics Graduate School of ScienceTokyo Metropolitan UniversityMinami-Osawa 1-1Hachioji City192-0397Japan Department of Physics GC UniversityLahore 54000Pakistan

In this paper,the dust particle surface potential for argon-helium plasma is evaluated analytically and numerically in the context of negatively charged dust particles by employing a power-law(r,q)-distribution *** studies have reported the argon-helium plasma and conducted a brief theoretical and experimental *** deepen our understanding further,this study aims to analyze the argon-helium plasma comprehensively using the same pattern but with the(r,q)-distribution *** this purpose,the current balance equations are derived for electron,helium and argon ions,when these charge species attain the quasineutrality *** numerically examined the currents of plasma species for a broad range of effective distribution function parameters r and *** is revealed that the surface potential of dust particles is significantly affected by the parameters r and q,helium ion-to-electron temperature ratio,argon ion-to-electron temperature ratio,and helium ion to argon ion number density *** incorporating the multi-ion(argon-helium)species,the significance of low-temperature nonMaxwellian dusty(complex)plasma is briefly examined.

关键词： dusty plasma dust charge potential plasma physics helium argon plasma r q distribution function non-Maxwellian distribution

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Evaluation of Serum Soluble CD27 and CXCL10 Levels in Patients With Vitiligo:A Cross-Sectional Study

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International Journal of Dermatology and Venereology 2024年第2期7卷 89-93页

作者： Marwa A.Aboelmagd hanan A.Assaf Mohammed H.Hassan hanan A.Abdelmegeed Ashraf Abdelwahab Department of Dermatology Venereology and AndrologyFaculty of MedicineSohag UniversitySohag 82524Egypt Department of Medical Biochemistry Faculty of MedicineSouth Valley UniversityQena 83523Egypt Department of Dermatology Sohag Hospital for Mental HealthSohag 82524Egypt

Objective:Vitiligo is a relatively common skin disfiguring disorder that exhibits a fluctuating course between activity and stability,making monitoring and management *** plays a crucial role in the pathogenesis of *** autoimmune disorders have been associated with both CD27 and chemokine(C-X-C motif)ligand 10(CXCL10).However,trials evaluating their role in vitiligo are lacking in the Egyptian *** evaluated the circulating levels of these 2 biomarkers in patients with vitiligo and the possible correlation between their levels and disease ***:This cross-sectional study included 70 patients with vitiligo and 20 healthy *** patients were clinically assessed and then divided into active and stable groups according to clinical signs of activity and Vitiligo Disease Activity *** levels of CD27 and CXCL10 in the serum were assessed using an enzyme-linked immunosorbent assay in both the patients and the controls,then the Mann-Whitney U and Kruskal-Wallis tests were used to analyze the difference between the ***:Active and stable vitiligo patients have significantly higher median serum CXCL10(385.9 and 245.2 pg/mL)and CD27(61.6 and 66.5 ng/mL)levels compared to the controls(193 pg/mL and 52.5 ng/mL,respectively,all P<0.05).In vitiligo cases,although CXCL10 levels significantly increased with disease activity(P<0.001),CD27 levels were comparable between the 2 subgroups(P=0.953).CXCL10 positively correlated with disease activity(r=0.887,P<0.001).CXCL10 had a higher sensitivity and a lower specificity(95.7%and 60.0%,respectively)compared to CD27(71.4%and 75%,respectively)for differentiating cases from ***:There is a possibility that CXCL10 and CD27 are involved in the development and course of vitiligo.

关键词： vitiligo disease activity chemokine(C-X-C motif)ligand 10 CD27

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Smart Farming for Sustainable Rice Production:An Insight into Application,Challenge,and Future Prospect

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Rice science 2024年第1期31卷 47-61页

作者： Norhashila HASHIM Maimunah Mohd ALI Muhammad Razif MAHADI Ahmad Fikri abdullah Aimrun WAYAYOK Muhamad Saufi Mohd KASSIM Askiah JAMALUDDIN Department of Biological and Agricultural Engineering/SMART Farming Technology Research Centre Faculty of EngineeringUniversiti Putra MalaysiaSelangor 43400Malaysia Department of Food Sciences Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaSelangor 43600Malaysia Department of Resource Management&Consumer Studies Faculty of Human EcologyUniversiti Putra MalaysiaSelangor 43400Malaysia

Rice has a huge impact on socio-economic growth,and ensuring its sustainability and optimal utilization is *** review provides an insight into the role of smart farming in enhancing rice *** applications of smart farming in rice production including yield estimation,smart irrigation systems,monitoring disease and growth,and predicting rice quality and classifications are *** challenges of smart farming in sustainable rice production to enhance the understanding of researchers,policymakers,and stakeholders are *** efforts have been exerted to combat the issues in rice production in order to promote rice sector *** effective implementation of smart farming in rice production has been facilitated by various technical advancements,particularly the integration of the Internet of Things and artificial *** future prospects of smart farming in transforming existing rice production practices are also *** the utilization of smart farming,the rice industry can attain sustainable and resilient production systems that could mitigate environmental impact and safeguard food ***,the rice industry holds a bright future in transforming current rice production practices into a new outlook in rice smart farming development.

关键词： rice production smart farming food security agriculture sustainability

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UNet Based onMulti-Object Segmentation and Convolution Neural Network for Object Recognition

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Computers, Materials & Continua 2024年第7期80卷 1563-1580页

作者： Nouf abdullah Almujally Bisma Riaz Chughtai Naif Al Mudawi Abdulwahab Alazeb Asaad Algarni Hamdan A.Alzahrani Jeongmin Park Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Information Technology Department College of Computing and InformaticsSaudi Electronic UniversityRiyadh13316Saudi Arabia Department of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Republic of Korea

The recent advancements in vision technology have had a significant impact on our ability to identify multiple objects and understand complex *** technologies,such as augmented reality-driven scene integration,robotic navigation,autonomous driving,and guided tour systems,heavily rely on this type of scene *** paper presents a novel segmentation approach based on the UNet network model,aimed at recognizing multiple objects within an *** methodology begins with the acquisition and preprocessing of the image,followed by segmentation using the fine-tuned UNet ***,we use an annotation tool to accurately label the segmented *** labeling,significant features are extracted from these segmented objects,encompassing KAZE(Accelerated Segmentation and Extraction)features,energy-based edge detection,frequency-based,and blob *** the classification stage,a convolution neural network(CNN)is *** comprehensive methodology demonstrates a robust framework for achieving accurate and efficient recognition of multiple objects in *** experimental results,which include complex object datasets like MSRC-v2 and PASCAL-VOC12,have been *** analyzing the experimental results,it was found that the PASCAL-VOC12 dataset achieved an accuracy rate of 95%,while the MSRC-v2 dataset achieved an accuracy of 89%.The evaluation performed on these diverse datasets highlights a notably impressive level of performance.

关键词： UNet segmentation blob fourier transform convolution neural network

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Spatio-temporal clustering analysis of COVID-19 cases in Johor

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Infectious Disease Modelling 2024年第2期9卷 387-396页

作者： Fong Ying Foo Nuzlinda Abdul Rahman Fauhatuz Zahroh Shaik abdullah Nurul Syafiah Abd Naeeim School of Mathematical Sciences Universiti Sains Malaysia11800Pulau PinangMalaysia

At the end of the year 2019,a virus named SARS-CoV-2 induced the coronavirus disease,which is very contagious and quickly spread around the *** new infectious disease is called *** areas,such as the economy,social services,education,and healthcare system,have suffered grave consequences from the invasion of this deadly ***,a thorough understanding of the spread of COVID-19 is required in order to deal with this outbreak before it becomes an infectious *** this research,the daily reported COVID-19 cases in 92 sub-districts in Johor state,Malaysia,as well as the population size associated to each sub-district,are used to study the propagation of COVID-19 disease across space and time in *** time frame of this research is about 190 days,which started from August 5,2021,until February 10,*** clustering technique known as spatio-temporal clustering,which considers the spatio-temporal metric was adapted to determine the hot-spot areas of the COVID-19 disease in Johor at the sub-district *** results indicated that COVID-19 disease does spike in the dynamic populated sub-districts such as the state's economic centre(Bandar Johor Bahru),and during the festive *** findings empirically prove that the transmission rate of COVID-19 is directly proportional to human mobility and the presence of *** the other hand,the result of this study will help the authority in charge in stopping and preventing COVID-19 from spreading and become worsen at the national level.

关键词： Disease mapping COVID-19Hot-spot areas Sub-district level Spatio-temporal clustering Scan statistics

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A gated recurrent unit model to predict Poisson’s ratio using deep learning

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 123-135页

作者： Fahd Saeed Alakbari Mysara Eissa Mohyaldinn Mohammed Abdalla Ayoub Ibnelwaleed A.Hussein Ali Samer Muhsan Syahrir Ridha abdullah Abduljabbar Salih Petroleum Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Institute of Hydrocarbon Recovery Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Gas Processing Center College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Department of Chemical Engineering College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Mechanical Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia

Static Poisson’s ratio(vs)is crucial for determining geomechanical properties in petroleum applications,namely sand *** models have been used to predict vs;however,the published models were limited to specific data ranges with an average absolute percentage relative error(AAPRE)of more than 10%.The published gated recurrent unit(GRU)models do not consider trend analysis to show physical *** this study,we aim to develop a GRU model using trend analysis and three inputs for predicting n s based on a broad range of data,n s(value of 0.1627-0.4492),bulk formation density(RHOB)(0.315-2.994 g/mL),compressional time(DTc)(44.43-186.9 μs/ft),and shear time(DTs)(72.9-341.2μ s/ft).The GRU model was evaluated using different approaches,including statistical error *** GRU model showed the proper trends,and the model data ranges were wider than previous *** GRU model has the largest correlation coefficient(R)of 0.967 and the lowest AAPRE,average percent relative error(APRE),root mean square error(RMSE),and standard deviation(SD)of 3.228%,1.054%,4.389,and 0.013,respectively,compared to other *** GRU model has a high accuracy for the different datasets:training,validation,testing,and the whole datasets with R and AAPRE values were 0.981 and 2.601%,0.966 and 3.274%,0.967 and 3.228%,and 0.977 and 2.861%,*** group error analyses of all inputs show that the GRU model has less than 5% AAPRE for all input ranges,which is superior to other models that have different AAPRE values of more than 10% at various ranges of inputs.

关键词： Static Poisson’s ratio Deep learning Gated recurrent unit(GRU) Sand control Trend analysis Geomechanical properties

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