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Predicting pavement condition index based on the utilization of machine learning techniques:A case study

道路工程学报(英文) 2023年第3期3卷 266-278页

作者： Abdualmtalab Abdualaziz ali Abdalrhman Milad Amgad Hussein Nur Izzi md Yusoff Usama Heneash Department of Civil Engineering Faculty of Engineering and Applied ScienceMemorial UniversitySt.John'sNL A1B1T5Canada Department of Civil Engineering Faculty of EngineeringAzzaytuna UniversityTarhunaLibya Department of Civil and Environmental Engineering College of EngineeringUniversity of NizwaNizwaOman Department of Civil Engineering Universiti Kebangsaan MalaysiaBangi 43600Malaysia Department of Civil Engineering Faculty of EngineeringKafrelsheikh UniversityKafr El-SheikhEgypt

Pavement management systems(PMS)are used by transportation government agencies to promote sustainable development and to keep road pavement conditions above the minimum performance levels at a reasonable *** accomplish this objective,the pavement condition is monitored to predict deterioration and determine the need for maintenance or rehabilitation at the appropriate *** pavement condition index(PCI)is a commonly usedmetric to evaluate the pavement's *** research aims to create and evaluate prediction models for PCI values using multiple linear regression(MLR),artificial neural networks(ANN),and fuzzy logic inference(FIS)models for flexible pavement *** authors collected field data spans for 2018 and *** pavement distress factors were considered inputs for predicting PCI values,such as rutting,fatigue cracking,block cracking,longitudinal cracking,transverse cracking,patching,potholes,and *** study evaluates the performance of the three techniques based on the coefficient of determination,root mean squared error(RMSE),and mean absolute error(MAE).The results show that the R2 values of the ANN models increased by 51.32%,2.02%,36.55%,and 3.02%compared toMLR and FIS(2018 and 2021).The error in the PCI values predicted by the ANNmodel was significantly lower than the errors in the prediction by the FIS and MLR models.

关键词： Pavement condition index Pavement distresses Machine learning Artificial neural network Multiple linear regression

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Genotypic Divergence, Photosynthetic Efficiency, Sodium Extrusion, and Osmoprotectant Regulation Conferred Salt Tolerance in Sorghum

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Phyton-International Journal of Experimental Botany 2023年第8期92卷 2349-2368页

作者： Ashaduzzaman Sagar md.Sabibul Haque md.Alamgir Hossain md.Nesar Uddin Jannat E.Tajkia md.Ashik Mia Toufika Hossain Shabi md.Solaiman ali Fakir md.Abdul Kader Walid Soufan md.Atikur Rahman Muhammad Aamir Iqbal Mohammad Sohidul Islam Ayman El Sabagh A.K.M.Zakir Hossain Department of Crop Botany Bangladesh Agricultural UniversityMymensingh2202Bangladesh Planning and Development Division Bangladesh Institute of Nuclear AgricultureMymensingh2202Bangladesh Department of Soil Science Bangladesh Agricultural UniversityMymensingh2202Bangladesh Agriculture and Food Technology Discipline School of AgricultureGeographyEnvironmentOcean and Natural SciencesUniversity of the South PacificSamoa Agriculture Discipline College of ScienceHealthEngineering and EducationMurdoch UniversityPerthWA 6150Australia Plant Production Department College of Food and AgricultureKing Saud UniversityRiyadh11451Saudi Arabia Grassland and Forage Division National Institute of Animal ScienceRural Development AdministrationCheonan31000Korea Department of Agronomy Faculty of AgricultureUniversity of Poonch RawalakotRawalakot12350Pakistan Department of Agronomy Hajee Mohammad Danesh Science and Technology UniversityDinajpurBangladesh Faculty of Agriculture Kafrelsheikh UniversityKafrelsheikh33516Egypt

Salt stress is one of the major limitations to modern agriculture that negatively inﬂuences plant growth and *** tolerant cultivar can provide excellent solution to enhance stress tolerance with plantﬁtness to unfavorable ***,this study was aimed to screen salt tolerant sorghum genotypes through evaluating of different morphological,biochemical,and physiological attributes in response to salinity *** this study,we have been evaluated total six sorghum genotypes including Hybrid sorgo,Debgiri,BD-703,BD-706,BD-707,and BD-725 under salt stress(12 dS m^(-1) NaCl).The response variables included length and weight of root and shoot,root:shoot ratio(RSR),photosynthesis(A),transpiration rate(E),elemental concen-trations(K^(+),Na^(+) and K^(+)/Na^(+)),photochemical efﬁciency of photosystem II(F_(v)/F_(m)),water use efﬁciency(WUE)and pigment content(chlorophyll a,and b).The results revealed that saline environment signiﬁcantly reduced all response variables under study of sorghum genotypes,however,Hybrid sorgo remained unmatched by recording the maximum root and shoot *** same genotype recorded higher photosynthetic efﬁciency which was attributed to Na^(+) extrusion,K^(+) uptake and higher K^(+)/Na^(+) ratio(1.8 at stress),while these mechanisms were not fully active in rest of ***,this study also implies the involvement of proline in imparting tolerance against saline environment in Hybrid sorgo ***,BD-703 remained the most salt sensitive genotype as evident from the minimum morphological growth traits and the least biosynthesis of ***ﬁndings open new research avenues for salt stress alleviation by identifying elite salt-to-lerant genotypes of sorghum for breeding programs.

关键词： Salinity tolerance sorghum photosynthesis proline ion accumulation genotypic variance

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Towards electric digital twin grid: Technology and framework review

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能源与人工智能(英文) 2023年第1期11卷 179-195页

作者： md.Mhamud Hussen Sifat Safwat Mukarrama Choudhury Sajal K.Das md.Hafiz Ahamed S.M.Muyeen md.Mehedi Hasan md.Firoj ali Zinat Tasneem md.Manirul Islam md.Robiul Islam md.Faisal R.Badal Sarafat H.Abhi Subrata K.Sarker Prangon Das Department of Mechatronics Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh Department of Electrical Engineering Qatar UniversityDoha2713Qatar

The major hindrances in the energy system are ecological consciousness, lack of clean and sustainableenergy management, insufficient energy distribution–transmission–optimization, expensive power transfercosts, and increased customer knowledge of energy charges. Thus why, universal access to the grid with highcybersecurity, and reliability is needed to solve all these challenges. The digital twin concept turns a newdimension of technology into the world. Electric Digital Twin grid can perform online analysis of the grid inreal-time and integrates all the past and present data and express the current grid status to the producers andconsumers and also predicts the future grid status. Thus, the power grid transmission loss and location of theoverheated line and power connection missing can be detected in addition decision-making and self-healingcan possible. The future prediction saves the power grid from small to long accidents such as power outagesand even blackout problems. The whole consumers and nation feel relief from these types of accidents andsaves from large economic and business loss. The blockchain-enabled digital twin grid provides high securityfor the grid from cyberattacks. The paper conveys the framework of the electric digital twin grid and theconcept of the DT grid processing and the way of serving the producer, prosumers, consumers even the wholenation in infrastructure, education, research, economic, business, and political development.

关键词： Electric digital twin grid Online analysis of grid Cloud platform of grid Real-time grid analysis Self-healing Cybersecurity

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Role of H2 receptor blocker famotidine over the clinical recovery of COVID-19 patients: A randomized controlled trial

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World Journal of Clinical Cases 2022年第23期10卷 8170-8185页

作者： Abu Taiub Mohammed Mohiuddin Chowdhury Aktar Kamal md Kafil Uddin Abbas md Rezaul Karim md Ahsan ali Shubhashis Talukder H M Hamidullah Mehedi Hamid Hassan Abul Hossain Shahin Yarui Li Shuixiang He Department of Gastroenterology The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'an 710061Shaanxi ProvinceChina Ministry of Health and Family Welfare(OSDDGHS) Dhaka 1212Bangladesh Critical Care Unit M Abdur Rahim Medical College HospitalDinajpur 5200Bangladesh Critical Care Unit Cox's Bazar 250 Bed District Sadar HospitalCox's Bazar 4700Bangladesh Department of Neurology University Hospital LimerickLimerick V94 T9PXIreland Department of Histology Xi'an Jiaotong UniversityXi'an 710061Shaanxi ProvinceChina Intensive Care Unit 250 Bed Chattogram General HospitalChittagong 4000Bangladesh Department of Medicine 250 Bed Chattogram General HospitalChittagong 4000Bangladesh Department of Emergency Chattogram Medical College HospitalChittagong 4000Bangladesh Department of Cardiology 250 Bed Chattogram General HospitalChittagong 4000Bangladesh

BACKGROUND Coronavirus disease 2019(COVID-19)is a global pandemic putting the population at a high risk of infection-related health hazards,mortality and a potential failure of proper medical ***,it is necessary to evaluate the potential use of the existing drugs that could be used as options for the medical management of COVID-19 *** To evaluate the role of the H_(2) receptor blocker“famotidine”in COVID-19 *** This study was done on seriously ill COVID-19 patients admitted to the intensive care unit(ICU)from different institutes in *** were divided into famotidine treatment group“A”(famotidine 40 mg to 60 mg oral formulation every 8 h with other treatment as given),and control group“B”(treatment as given).National early warning score(NEWS)-2,and sequential organ failure assessment day-1 score was calculated to evaluate the *** were evaluated by the time required for clinical improvement,characterized as duration required from enrollment to the achievement of NEWS-2 of≤2 maintained for 24 h;time to symptomatic recovery,defined as the duration in days(from randomization)required for the recovery of the COVID-19 symptoms;mortality rate;duration of ICU and hospital stay;total period of hospitalization;the rate of supplementary oxygen requirement;the computed tomography(CT)chest recovery(%),the time required for the viral clearance and“NEWS-2”on *** A total of 208 patients were enrolled in this study with 104 patients in each *** famotidine treatment group had comparatively better recovery of 75%and a low mortality of 25%than the control with a recovery of 70%and a mortality of 30%.Duration of clinical improvement(group A 9.53 d,group B 14.21 d);hospitalization period among the recovered patients(group A 13.04 d,group B 16.31 d),pulmonary improvement in chest CT(group A 21.7%,group B 13.2%),and the time for viral clearance(group A 20.7 d,group B 23.8 d)were found to be statistically si

关键词： COVID-19 SARS-CoV-2 Famotidine COVID-19 acute respiratory distress syndrome COVID-19 treatment Bangladesh

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Next-generation blockchain enabled smart grid: Conceptual framework, keytechnologies and industry practices review

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能源与人工智能(英文) 2023年第2期12卷 187-205页

作者： Shekh S.Uddin Rahul Joysoyal Subrata K.Sarker S.M.Muyeen md.Firoj ali md.Mehedi Hasan Sarafat Hussain Abhi md.Robiul Islam md.Hafiz Ahamed md.Manirul Islam Sajal K.Das md.Faisal R.Badal Prangon Das Zinat Tasneem Department of Mechatronics Engineering Rajshahi University of Engineering&TechnologyRajshahi 6204Bangladesh Department of Electrical Engineering Qatar UniversityQatar

Technological advancements in smart grid energy systems (SGESs) are introducing sustainable frameworksto meet the demand for the fourth industrial energy revolution. These frameworks are planned to be usedin the forthcoming future to maintain the energy network operation with optimization, energy trading, gridautomation, and so on. Blockchain (BCn), developing after passing a diverse period of the research journey,comes to the mind of researchers and its integration in SGES paves the way to reach the goal of energydemand. However, still of interest is ongoing in the improvement of BCn features which can be regarded asthe next-generation blockchain framework. This paper exhibits the technical framework of the next-generationBCn framework and explores its benefits and challenges in performing the emerging aspects of SGES. Thisframework enables some advanced features for the sustainable operation of SGES like smart metering, peer-topeer (P2P) energy trading, self-operation, and transparency. The technical explanation of this BCn technologyestablished on essential features and requisites is also presented in this paper from various points of viewwhich include smart mechanism, intelligent storage system, and interoperability. We also highlight the recentprogress and limitations of the current BCn framework in SGES. Finally, some challenges towards integratingthe next-generation BCn technology in SGES are reported. This work can provide extended support for thepractitioner and researcher in the context of BCn technology and SGES.

关键词： Blockchain Smart grid energy system Smart contract

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Design and Development of Low-cost Wearable Electroencephalograms (EEG) Headset

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Intelligent Automation & Soft Computing 2023年第3期35卷 2821-2835页

作者： Riaz Muhammad Ahmed ali M.Abid Anwar Toufique Ahmed Soomro Omar AlShorman Adel Alshahrani Mahmoud Masadeh Ghulam md Ashraf Naif H.ali Muhammad Irfan Athanasios Alexiou Department of Electrical Engineering Sukkur IBA University65200SukkurPakistan Department of Electronic Engineering Quaid-e-Awam University of EngineeringScience and TechnologyLarkana77150Pakistan Faculty of Engineering and AlShrouk Trading Company Najran UniversityNajran61441Saudi Arabia Department of Medical Rehabilitation Sciences-Physiotherapy Program College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia Computer Engineering Department Yarmouk UniversityIrbid21163Jordan Pre-Clinical Research Unit King Fahd Medical Research CenterKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Medical Laboratory Technology Faculty of Applied Medical SciencesKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Internal Medicine Medical CollegeNajran UniversityNajran61441Saudi Arabia Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Novel Global Community Educational Foundation HebershamNSW 2770AustraliaAFNP Med AustriaWien2770Austria

Electroencephalogram(EEG)is a method of capturing the electrophy-siological signal of the *** EEG headset is a wearable device that records electrophysiological data from the *** paper presents the design and fab-rication of a customized low-cost Electroencephalogram(EEG)headset based on the open-source OpenBCI Ultracortex Mark IV *** electrode placement locations are modiﬁed under a 10–20 standard *** fabricated headset is then compared to commercially available headsets based on the following para-meters:affordability,accessibility,noise,signal quality,and ***,the data is recorded from 20 subjects who used the EEG Headset,and signals were ***,the participants marked the accuracy,set up time,participant comfort,and participant perceived ease of set-up on a scale of 1 to 7(7 being excellent).Thirdly,the self-designed EEG headband is used by 5 participants for slide *** raw EEG signal is decomposed into a series of band sig-nals using discrete wavelet transform(DWT).Lastly,theseﬁndings have been compared to previously reported *** concluded that when used for slide-changing control,our self-designed EEG headband had an accuracy of 82.0 *** also concluded from the results that our headset performed well on the cost-effectiveness scale,had a reduced setup time of 2±0.5 min(the short-est among all being compared),and demonstrated greater ease of use.

关键词： Brain-computer interface EEG consumer-grade accessibility headset

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Detection of Different Stages of Alzheimer’s Disease Using CNN Classifier

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Computers, Materials & Continua 2023年第9期76卷 3933-3948页

作者： S M Hasan Mahmud md Mamun ali Mohammad Fahim Shahriar Fahad Ahmed Al-Zahrani Kawsar Ahmed Dip Nandi Francis M.Bui Department of Computer Science American International University-Bangladesh(AIUB)Dhaka1229Bangladesh Centre for Advanced Machine Learning and Applications(CAMLAs) DhakaBangladesh Department of Software Engineering Daffodil International UniversityDhakaBangladesh Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia Department of ECE University of SaskatchewanSaskatoonSK S7N5A9Canada Group of Biophotomatiχ Department of ICTMBSTUSantoshTangail1902Bangladesh

Alzheimer’s disease(AD)is a neurodevelopmental impairment that results in a person’s behavior,thinking,and memory *** common symptoms ofADare losingmemory and early *** addition to these,there are several serious impacts ***,the impact ofADcanbemitigatedby early-stagedetection though it cannot be cured ***-stage detection is the most challenging task for controlling and mitigating the impact of *** study proposes a predictive model to detect AD in the initial phase based on machine learning and a deep learning approach to address the *** build a predictive model,open-source data was collected where five stages of images of AD were available as Cognitive Normal(CN),Early Mild Cognitive Impairment(EMCI),Mild Cognitive Impairment(MCI),Late Mild Cognitive Impairment(LMCI),and *** stage of AD is considered as a class,and then the dataset was divided into three parts binary class,three class,and five *** this research,we applied different preprocessing steps with augmentation techniques to efficiently *** integrates a random oversampling technique to handle the imbalance problem from target classes,mitigating the model overfitting and *** three machine learning classifiers,such as random forest(RF),K-Nearest neighbor(KNN),and support vector machine(SVM),and two deep learning methods,such as convolutional neuronal network(CNN)and artificial neural network(ANN)were applied on these *** analyzing the performance of the used models and the datasets,it is found that CNN with binary class outperformed 88.20%*** result of the study indicates that the model is highly potential to detect AD in the initial phase.

关键词： Alzheimer’s disease early detection convolutional neural network data augmentation random oversampling machine learning

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Double-E-Triple-H-Shaped NRI-Metamaterial for Dual-Band Microwave Sensing Applications

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Computers, Materials & Continua 2022年第6期71卷 5817-5836页

作者： Shafayat Hossain md.Iquebal Hossain Patwary Sikder Sunbeam Islam Sultan Mahmud Norbahiah Binti Misran ali F.Almutairi Mohammad Tariqul Islam Department of Electrical&Electronics Engineering International Islamic University Chittagong4318ChittagongBangladesh Department of Electrical Electronic and Systems EngineeringFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia Electrical Engineering Department Kuwait UniversityKuwait City13060Kuwait

This paper presents a new Double-E-Triple-H-Shaped NRI(negative refractive index)metamaterial(MM)for dual-band microwave sensing ***,a horizontal H-shaped metal structure is enclosed by two face-to-face E-shaped metal *** double-E-H-shaped design is also encased by two vertical H-shaped structures along with some copper ***,the Double-E-Triple-H-Shaped configuration is *** popular substrate materials of Rogers RO 3010 and FR-4 were adopted for analyzing the characteristics of the unit *** proposed structure exhibits transmission resonance inside the S-band with NRI and ENG(Epsilon Negative)metamaterial properties,and inside the C-band with ENG and MNG(Mu Negative)metamaterial properties.A good effective medium ratio(EMR)of 8.06 indicates the compactness and effectiveness of the proposed *** analysis has been done by changing the thickness of the substrate material as well and a significant change in the effective medium ratio is *** validity of the proposed structure is confirmed by an equivalent circuit *** simulated result agrees well with the calculated *** exploring microwave sensing applications of the proposed unit cell,permittivity and pressure sensitivity performance were investigated in different simulation *** compact size,effective parameters,high sensitivity and a good EMR represent the proposed metamaterial as a promising solution for S-band and C-band microwave sensing applications.

关键词： Metamaterial NRI MNG ENG dual-band sensing S-band C-band

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Bangla language modeling algorithm for automatic recognition of hand-sign-spelled Bangla sign language

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Frontiers of Computer Science 2020年第3期14卷 45-64页

作者： Muhammad Aminur RAHAMAN Mahmood JASIM md.Haider ali md.HASANUZZAMAN Department of Computer Science and Engineering University of DhakaDhaka-1000Bangladesh

Because of using traditional hand-sign segmentation and classification algorithm,many diversities of Bangla language including joint-letters,dependent vowels *** representing 51 Bangla written characters by using only 36 hand-signs,continuous hand-sign-spelled Bangla sign language(BdSL)recognition is *** paper presents a Bangla language modeling algorithm for automatic recognition of hand-sign-spelled Bangla sign language which consists of two *** phase is designed for hand-sign classification and the second phase is designed for Bangla language modeling algorithm(BLMA)for automatic recognition of hand-sign-spelled Bangla sign *** first phase,we have proposed two step classifiers for hand-sign classification using normalized outer boundary vector(NOBV)and window-grid vector(WGV)by calculating maximum inter correlation coefficient(ICC)between test feature vector and pre-trained feature *** first,the system classifies hand-signs using *** classification score does not satisfy specific threshold then another classifier based on WGV is *** system is trained using 5,200 images and tested using another(5,200×6)images of 52 hand-signs from 10 signers in 6 different challenging environments achieving mean accuracy of 95.83%for classification with the computational cost of 39.972 milliseconds per *** the Second Phase,we have proposed Bangla language modeling algorithm(BLMA)which discovers all"hidden characters"based on"recognized characters"from 52 hand-signs of BdSL to make any Bangla words,composite numerals and sentences in BdSL with no training,only based on the result of first *** the best of our knowledge,the proposed system is the first system in BdSL designed on automatic recognition of hand-sign-spelled BdSL for large *** system is tested for BLMA using hand-sign-spelled 500 words,100 composite numerals and 80 sentences in BdSL achieving mean accuracy of 93.50%,95.50%and 90.50%respectively.

关键词： Bangla sign language(BdSL) hand-sign classification Bangla language modeling rules(BLMR) Bangla language modeling algorithm(BLMA)

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A novel (G'/G)-expansion method and its application to the Boussinesq equation

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Chinese Physics B 2014年第2期23卷 34-43页

作者： md.Nur Alam md.ali Akbar Syed Tauseef Mohyud-Din Department of Mathematics Pabna University of Science and Technology Department of Applied Mathematics University of Rajshahi Department of Mathematics HITEC UniversityTaxila Cantt

In this article, a novel （G＇/G）-expansion method is proposed to search for the traveling wave solutions of nonlinear evolution equations. We construct abundant traveling wave solutions involving parameters to the Boussinesq equation by means of the suggested method. The performance of the method is reliable and useful, and gives more general exact solutions than the existing methods. The new （G＇/G）-expansion method provides not only more general forms of solutions but also cuspon, peakon, soliton, and periodic waves.

关键词： (G'/G)-expansion method Boussinesq equation solitary wave solutions auxiliary nonlinear ordinary differential equation

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