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Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest

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Journal of Mountain Science 2020年第12期17卷 2880-2896页

作者： Mobushir Riaz KHANI Iftikhar Ahmad KHAN muhammad hasan ali baig LIU Zheng-jia muhammad Irfan ASHRAF School of Environmental Science Charles Sturt UniversityAlburyNSW 2640Australia Institute of Geo-information&Earth Observation Arid Agriculture University RawalpindiPakistan&(ii)Department of ForestAzad Jammu&Kashmir Muzaffarabad-i3100Pakistan Institute of Geo-information&Earth Observation(IGEO) PMAS Arid Agriculture University Rawalpindi 46300Pakistan Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Department of Forestry&Range Management PMAS Arid Agriculture University Rawalpindi 46300Pakistan

The Sentinel-2 A satellite having embedded advantage of red edge spectral bands offers multispectral imageries with improved spatial,spectral and temporal resolutions as compared to the other contemporary satellites providing medium resolution *** study was aimed at exploring the potential of Sentinel-2 A imagery to estimate Above Ground Biomass(AGB) of Subtropical Pine Forest in Pakistan administered *** developed an AGB predictive model using field inventory and Sentinel 2 A based spectral and textural parameters along with topographic features derived from ALOS Digital Elevation Model(DEM).Field inventory data was collected from 108 randomly distributed plots(0.1 ha each) across the study *** stepwise linear regression method was employed to investigate the potential relationship between field data and corresponding satellite *** and carbon mapping of the study area was carried out through established AGB estimation model with R(o.86),R2(0.74),adjusted R2(0.72) and RMSE value of 33 t/*** results showed that first order textures(mean,standard deviation and variance) significantly contributed in AGB predictive modeling while only one spectral band ratio made contribution from spectral *** study leads to the conclusion that Sentinel-2 A optical data is a potential source for AGB estimation in subtropical pine forest of the area of interest with added benefit of its free of cost availability,higher quality data and long-term continuity that can be utilized for biomass carbon distribution mapping in the resource constraint study area for sustainable forest management.

关键词： Field inventory Forest Biomass Sentinel 2A AGB Modelling Spectral features Textures

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Time-series surface water reconstruction method(TSWR)based on spatial distance relationship of multi-stage water boundaries

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International Journal of Digital Earth 2022年第1期15卷 2335-2354页

作者： Mingyang Li Shanlong Lu Cong Du Yong Wang Chun Fang Xinru Li Hailong Tang muhammad hasan ali baig Harrison Odion Ikhumhen International Research Center of Big Data for Sustainable Development Goals Key Laboratory of Digital Earth ScienceAerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China College of Resources and Environment University of Chinese Academy of SciencesBeijingPeople’s Republic of China School of Earth Sciences and Spatial Information Engineering Hunan University of Science and TechnologyXiangtanPeople’s Republic of China School of Geospatial Engineering and Science Sun Yat-Sen UniversityZhuhaiPeople’s Republic of China Institute of Geo-Information & Earth-Observation (IGEO) PMAS Arid Agriculture University RawalpindiRawalpindiPakistan Key Laboratory of Ministry of Education for Coastal Wetland Ecosystems College of the Environment and EcologyXiamen UniversityXiamenPeople’s Republic of China

Spatiotemporal continuity of surface water datasets widely known for its significance in the surface water dynamic monitoring and assessments,are faced with drawbacks like cloud influence,which hinders the direct extraction of data from time-series remote sensing *** study proposes a Time-series Surface Water Reconstruction method(TSWR).The initial stage of this method involves the effective use of remote sensing images to automatically construct multi-stage surface water boundaries based on Google Earth Engine(GEE).Then,we reconstructed regions the reconstruction of regions with missing water pixels using the distance relationship between the multi-stage water boundaries in previous and later *** applied to 10 large rivers around the world,this method yielded an overall accuracy of 98%for water extraction,an RMSE of 0.41 ***,time-series reconstruction tests conducted in 2020 on the Lancang and Danube rivers revealed a significant improvement in the image *** findings demonstrated that this method could not only be used to accurately reconstruct the surface water distribution missing water images,but also to depict a more pronounced time variation *** successful application of this method on GEE demonstrates its importance for use on large scales or in global studies.

关键词： Google earth engine sentinel-2 surface water reconstruction time-series surface water data

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FlowBreakdown of Hybrid Nanofluid on a Rigid Surface with Power Law Fluid as Lubricated Layers

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1485-1499页

作者： Mirza Naveed Jahangeer baig NadeemSalamat Sohail Nadeem NaeemUllah Mohamed Bechir Ben Hamida Hassan ali Ghazwani Sayed M.Eldin A.S.Al-Shafay Instituite of Mathematics Khwaja Fareed University of Engineering and Information TechnologyRahim yar Khan64200Pakistan Department of Mathematics Quaid-I-Azam UniversityIslamabad44000Pakistan Department of Mathematics Wenzhou UniversityWenzhou325035China College of Engineering Department of Mechanical EngineeringImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11564Saudi Arabia Research Laboratory of Ionized Backgrounds and Reagents Studies(EMIR) Preparatory Institute for Engineering Studies of Monastir(IPEIM)University of MonastirMonastir5060Tunisia Higher School of Sciences and Technology of Hammam Sousse Department of PhysicsJazan82511Kingdom of Saudia Arabia Department of Mechanical Engineering Faculty of engineeringJazan UniversityP.O.Box 45124JazanKingdom of Saudia Arabia Center of Research Faculty of EngineeringFuture University in EgyptNew Cairo11835Egypt Department of Mechanical Engineering College of EngineeringPrince Sattam bin Abdulaziz UniversityAlkharj16436Saudi Arabia

Thiswork investigates an oblique stagnation point flowof hybrid nanofluid over a rigid surface with power lawfluidas lubricated layers. Copper (Cu) and Silver (Ag) solid particles are used as hybrid particles acting in water H2O asa base fluid. The mathematical formulation of flow configuration is presented in terms of differential systemthat isnonlinear in nature. The thermal aspects of the flow field are also investigated by assuming the surface is a heatedsurface with a constant temperature T. Numerical solutions to the governing mathematical model are calculatedby the RK45 algorithm. The results based on the numerical solution against various flow and thermal controllingparameters are presented in terms of line graphs. The specific results depict that the heat flux increases over thelubricated-indexed parameter.

关键词： Oblique stagnation point flow hybrid nanofluid lubricated layer magnetohydrodynamics

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Bit Rate Reduction in Cloud Gaming Using Object Detection Technique

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Computers, Materials & Continua 2021年第9期68卷 3653-3669页

作者： Daniyal baig Tahir Alyas muhammad Hamid muhammad Saleem Saadia Malik Nadia Tabassum Natash ali Mian Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Virtual University of PakistanLahore54000Pakistan School of Computer and Information Technology Beaconhouse National University Lahore53700Pakistan

The past two decades witnessed a broad-increase in web technology and on-line *** the broadband confinements is viewed as one of the most significant variables that prompted new gaming *** immense utilization of web applications and games additionally prompted growth in the handled devices and moving the limited gaming experience from user devices to online cloud *** internet capabilities are enhanced new ways of gaming are being used to improve the gaming *** cloud-based video gaming,game engines are hosted in cloud gaming data centers,and compressed gaming scenes are rendered to the players over the internet with updated *** such systems,the task of transferring games and video compression imposes huge computational complexity is required on cloud *** basic problems in cloud gaming in particular are high encoding time,latency,and low frame rates which require a new methodology for a better *** improve the bandwidth issue in cloud games,the compression of video sequences requires an alternative mechanism to improve gaming adaption without input *** this paper,the proposed improved methodology is used for automatic unnecessary scene detection,scene removing and bit rate reduction using an adaptive algorithm for object detection in a game *** a result,simulations showed without much impact on the players’quality experience,the selective object encoding method and object adaption technique decrease the network latency issue,reduce the game streaming bitrate at a remarkable scale on different *** proposed algorithm was evaluated for three video game *** this paper,achieved 14.6%decrease in encoding and 45.6%decrease in bit rate for the first video game scene.

关键词： Video encoding object detection bit rate reduction game video motion estimation computational complexity

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Unordered rule discovery using Ant Colony Optimization

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Science China(Information Sciences) 2014年第9期57卷 189-203页

作者： KHAN Salabat baig Abdul Rauf ali Armughan HAIDER Bilal KHAN Farman ali DURRANI Mehr Yahya ISHTIAQ muhammad Department of Computer Science COMSATS Institute of Information TechnologyAttock CampusPakistan Department of Computer Science National University of Computer and Emerging SciencesIslamabadPakistan Al Imam Mohammad Ibn Saud Islamic University (IMSIU) College of Computer and Information SciencesRiyadhSaudi Arabia

In this article,a novel unordered classification rule list discovery algorithm is presented based on Ant Colony Optimization(ACO).The proposed classifier is compared empirically with two other ACO-based classification techniques on 26 data sets,selected from miscellaneous domains,based on several performance *** opposed to its ancestors,our technique has the flexibility of generating a list of IF-THEN rules with unrestricted *** makes the generated classification model more comprehensible and easily *** results indicate that the performance of the proposed method is statistically significantly better as compared with previous versions of AntMiner based on predictive accuracy and comprehensibility of the classification model.

关键词： classification ant colony optimization data mining unordered rule set comprehensibility pattern recognition

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Tylophora hirsuta L. leaf extract attenuates alloxan-induced diabetes in mice by suppressing oxidative stress and α-amylase

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Asian Pacific Journal of Tropical Biomedicine 2021年第9期11卷 394-404页

作者： muhammad Furqan Akhtar Arsalan Shagufta Ammara Saleem Mirza muhammad Faran Ashraf baig ali Sharif Azhar Rasul Mohamed M.Abdel-Daim Riphah Institute of Pharmaceutical Sciences Riphah International UniversityLahore CampusLahorePakistan Department of Pharmacology Faculty of Pharmaceutical SciencesGovernment College University FaisalabadFaisalabadPakistan Laboratory of Stem Cells Research and Biomedical Engineering for Novel Biofunctional and Pharmaceutical NanomaterialsFaculty of DentistryPrince Philip Dental HospitalThe University of Hong KongHong Kong 999077China Institute of Pharmacy Faculty of Pharmaceutical and Allied Health SciencesLahore College for Women UniversityJail RoadLahorePakistan Department of Zoology Government College University FaisalabadFaisalabadPakistan Pharmacology Department Faculty of Veterinary MedicineSuez Canal UniversityIsmailia 41522Egypt

Objective:To evaluate the antidiabetic potential of leaf extracts of Tylophora hirsuta(***).Methods:The methanolic and ethyl acetate extracts of *** leaves were analyzed by high pressure liquid *** vitro antioxidant activity was determined by ferric ion reduction,1,1-diphenyl-2-picrylhydrazyl,and hydrogen peroxide scavenging *** vitro alpha amylase(α-amylase)inhibitory activity of the plant extracts was *** vivo antidiabetic potential was determined in alloxan-induced diabetic mice to assess glycated hemoglobin(HbA1c),oral glucose tolerance,serum amylase,lipid profile,fasting blood glucose,and body *** lesions of the pancreas,liver and kidney were *** stress biomarkers such as superoxide dismutase,catalase and peroxidase were also ***:Quercetin,chlorogenic acid,p-coumaric acid,and m-coumaric acid were found in the plant *** methanolic plant extract exhibited higher in vitro antioxidant activities than the ethyl acetate ***,methanolic plant extract exhibited(83.90±1.56)%α-amylase inhibitory activity at 3.2 mg/mL *** study showed that the methanolic extract of *** improved the levels of fasting blood glucose,HbA1c,serumα-amylase,lipid profile,liver function biomarkers,and kidney functions of diabetic ***,the methanolic extract ameliorated diabetes-related oxidative stress by increasing superoxide dismutase and catalase activities and decreasing peroxidase and malondialdehyde *** examination showed that the plant extract had improved the integrity of pancreatic islets of Langerhans and reduced the pathological lesions in the liver and kidney of diabetic ***:The methanolic extract of *** exhibits pronounced antidiabetic activity in mice through reduction of oxidative *** plant extract has several natural antioxidants such as phenolic *** extract could serve as a nutra

关键词： Tylophora hirsuta Diabetes mellitus Oxidative stress Alpha-amylase Phenolic compounds Pancreas

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Two novel variants in CYP1B1 gene: a major contributor of autosomal recessive primary congenital glaucoma with allelic heterogeneity in Pakistani patients

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International Journal of Ophthalmology(English edition) 2019年第1期12卷 8-15页

作者： Yar muhammad Waryah muhammad Iqbal Shakeel Ahmed Sheikh muhammad Azhar baig Ashok Kumar Narsani muhammad Atif Munir Ahmad Bhinder Attiq Ur Rahman Azam Iqbal Memon muhammad Suleman Pirzado ali muhammad Waryah Molecular Biology and Genetics Department Liaquat University of Medical and Health Sciences Department of Biochemistry Islamia University Bahawalpur Institute of Ophthalmology Liaquat University of Medical and Health Sciences Department of Human Genetics University of Health Sciences Lahore Center of Excellence in Marine Biology University of Karachi

AIM: To find the CYP1 B1 mutations associated with primary congenital glaucoma(PCG) in Pakistani consanguineous pedigrees. METHODS: After getting informed consent, 11 consanguineous pedigrees belonging to different ethnic groups were enrolled. Detailed medical history was recorded and pedigrees were drawn. The standard ophthalmological examination was done to characterize the phenotype. Genomic DNA was extracted from 10 mL whole blood and coding exons and exon intron boundaries of CYP1 B1 gene were directly sequenced. Bioinformatics tools were used to model the mutant protein and predict the effect of novel variants on protein structure and function. RESULTS: Sequencing analysis revealed 5 different CYP1 B1 variants in 7 families(7/11; 64%), including two novel variants. A common mutation, p.R390 H was found in four families, whereas p.P437 L was found once in a family. Two novel variants, a homozygous non sense variant p.L13* and a compound heterozygous variant, p.P350 T along with p.V364 M were segregating with PCGin two families. All the patients had the variable onset and severity of the disease. The success rate of early clinical interventions was observed dependent on mutation types and position. Two different haplotypes were associated with frequently found mutation, p.R390 H. CONCLUSION: Identification of novel CYP1 B1 variants reassert the genetic heterogeneity of Pakistani PCG patients. The patients with missense mutations show severe phenotypic presentations and poor vision after surgical interventions as compare to patients with null variants. This may help to better understand the role of CYP1 B1 mutations in the development of PCG and its course of pathogenicity.

关键词： CYP1B1 mutations primary congenital glaucoma genetics

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Deep Learning Framework for Precipitation Prediction Using Cloud Images

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Computers, Materials & Continua 2022年第8期72卷 4201-4213页

作者： Mirza Adnan baig Ghulam ali Mallah Noor Ahmed Shaikh Shah Abdul Latif University Khairpur77150Pakistan

Precipitation prediction(PP)have become one of the significant research areas of deep learning(DL)and machine vision(MV)techniques are frequently used to predict the weather variables(WV).Since the climate change has left significant impact upon weather variables(WV)and continuously changes are observed in temperature,humidity,cloud patterns and other *** cloud images contain sufficient information to predict the precipitation pattern but due to changes in climate,the complex cloud patterns and rapid shape changing behavior of clouds are difficult to consider for rainfall *** of rainfall would provide more meticulous assistance to the farmers to know about the weather conditions and to care their cash *** research proposes a framework to classify the dark cloud patterns(DCP)for prediction of *** framework consists upon three steps to classify the cloud images,first step tackles noise reduction operations,feature selection and preparation of *** step construct the decision model by using convolutional neural network(CNN)and third step presents the performance visualization by using confusion matrix,precision,recall and accuracy *** research contributes(1)real-world clouds datasets(2)method to prepare datasets(3)highest classification accuracy to predict estimated as 96.90%.

关键词： Machine vision SIFT features dark cloud patterns precipitation agriculture

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Surfactant-decorated graphite nanoplatelets(GNPs) reinforced aluminum nanocomposites: sintering effects on hardness and wear

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International Journal of Minerals,Metallurgy and Materials 2018年第6期25卷 704-715页

作者： Zeeshan baig Othman Mamat Mazli Mustapha Asad Mumtaz Sadaqat ali Mansoor Sarfraz Department of Mechanical Engineering Universiti Teknologi PETRONAS Department of Fundamental and Applied Sciences Universiti Teknologi PETRONAS Sustainable Energy Technologies Center College of Engineering King Saud University

The exceptional properties of graphene make it ideal as a reinforcement to enhance the properties of aluminum matrices and this critically depends on uniform dispersion. In this study, the dispersion issue was addressed by sonication and non-covalent surface functionalization of graphite nanoplatelets（GNPs） using two types of surfactant： anionic（sodium dodecyl benzene sulfate（SDBS）） and non-ionic polymeric（ethyl cellulose（EC））. After colloidal mixing with Al powder, consolidation was performed at two sintering temperatures（550 and 620°C）. The structure, density, mechanical and wear properties of the nanocomposite samples were investigated and compared with a pure Al and a pure GNPs/Al nanocomposite sample. Noticeably, EC-based 0.5 wt% GNPs/Al samples showed the highest increment of 31% increase in hardness with reduced wear rate of 98.25% at 620°C, while a 22% increase in hardness with reduced wear rate of 96.98% at 550°C was observed, as compared to pure Al. Microstructural analysis and the overall results validate the use of EC-based GNPs/Al nanocomposites as they performed better than pure Al and pure GNPs/Al nanocomposite at both sintering temperatures.

关键词： graphite nanoplatelets (GNPs) aluminum nanocomposites surfactant hardness dispersion ultra-soincation sintering effects

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Development of thermochromic strips as a water pasteurization indicator

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Journal of Environmental Sciences 2003年第6期15卷 863-864页

作者： Ishtiaq A. Qazi M. ali Awan M. Anwar baig Pakistan Council of Renewable Energy Technologies(PCRET) Institute of Environmental Science and Engineering(IESE) National University of Sciences & Technology (NUST)Institute of Environmental Science and Engineering(IESE) National University of Sciences & Technology (NUST) Islamabad PakistanRawalpindi PakistanRawalpindi Pakistan

Boiling of water, for purification, commonly practiced in the world, has many problems associated with it like danger of scalding, scaling in the vessels, removal of useful minerals and blandness of taste etc. Water can be made safe for drinking simply by heating at 65℃ for 6 minutes. A colour indicating strip was developed which changes colour from red to purple at 67℃. Use of this strip can help in pasteurizing water without the above problems and with considerable energy saving.

关键词： thermochromic strips pasteurization indicator Pakistan

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