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Perceptual quality assessment of panoramic stitched contents for immersive applications:a prospective survey

Virtual Reality & Intelligent Hardware 2022年第3期4卷 223-246页

作者： hayat ullah Sitara AFZAL Imran ullah KHAN Department of Computer Science Kansas State UniversityManhattanKS 66506USA Department of Software Sejong UniversitySeoul 143-747Republic of Korea

The recent advancements in the field of Virtual Reality(VR)and Augmented Reality(AR)have a substantial impact on modern day technology by digitizing each and everything related to human life and open the doors to the next generation Software Technology(Soft Tech).VR and AR technology provide astonishing immersive contents with the help of high quality stitched panoramic contents and 360°imagery that widely used in the education,gaming,entertainment,and production *** immersive quality of VR and AR contents are greatly dependent on the perceptual quality of panoramic or 360°images,in fact a minor visual distortion can significantly degrade the overall ***,to ensure the quality of constructed panoramic contents for VR and AR applications,numerous Stitched Image Quality Assessment(SIQA)methods have been proposed to assess the quality of panoramic contents before using in VR and *** this survey,we provide a detailed overview of the SIQA literature and exclusively focus on objective SIQA methods presented till *** better understanding,the objective SIQA methods are classified into two classes namely Full-Reference SIQA and No-Reference SIQA *** class is further categorized into traditional and deep learning-based methods and examined their performance for SIQA ***,we shortlist the publicly available benchmark SIQA datasets and evaluation metrices used for quality assessment of panoramic *** last,we highlight the current challenges in this area based on the existing SIQA methods and suggest future research directions that need to be target for further improvement in SIQA domain.

关键词： Virtual reality Augmented reality Panoramic image Immersive contents Stitched image quality assessment Deep learning Convolutional neural networks

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Integrated assessment of extreme climate and landuse change impact on sediment yield in a mountainous transboundary watershed of India and Pakistan

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Journal of Mountain Science 2020年第3期17卷 624-640页

作者： Muhammad BABUR Sangam SHRESTHA Binod BHATTA Avishek DATTA hayat ullah Civil Engineering Department University of Central Punjab1-Khayaban-e-Jinnah RoadJohar Town Lahore 54770Pakistan Department of Water Engineering and Management School of Engineering and TechnologyAsian Institute of TechnologyPathum Thani 12120Thailand Department of Food Agriculture and BioresourcesSchool of EnvironmentResources and DevelopmentAsian Institute of TechnologyPathum Thani 12120Thailand

Assessment of climate and land use changes impact including extreme events on the sediment yield is vital for water and power stressed countries. Mangla Reservoir is the second-largest reservoir in Pakistan, and its capacity is being reduced due to rapid sedimentation and will be threatened under climate and land use changes. This paper discusses the consequences of climate and land use change on sediment yield at Mangla Dam using General Circulation Models(GCMs), Land Change Modeler(LCM), Soil and Water Assessment Tool(SWAT) model after calibration and *** show that over the historical period temperature is observed to increase by 0.10 o C/decade and forest cover is observed to reduce to the level of only 16% in 2007. Nevertheless, owing to the forest conservation policy, the forest cover raised back to 27% in 2012. Anticipated land use maps by using LCM of 2025, 2050 and 2100 showed that the forest cover will be 33%, 39.2%, and, 53.7%, respectively. All seven GCMs projected the increase in temperature and five GCMs projected an increase in precipitation,however, two GCMs projected a decrease in precipitation. Owing to climate change, land use change and combined impact of climate and land use change on annual sediment yield(2011-2100) may vary from-42.9% to 39.4%, 0% to-27.3% and,-73%to 39.4%, respectively. Under climate change scenarios projected sediment yield is mainly linked with extreme events and is expected to increase with the increase in extreme events. Under land use change scenarios projected sediment yield is mainly linked with the forest cover and is expected to decrease with the increase in forest cover. The results of this study are beneficial for planners, watershed managers and policymakers to mitigate the impacts of climate and land use changes to enhance reservoir life by reducing the sediment yield.

关键词： Climate change and land use changes Extreme events Terrset LCM Sediment yield

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Mechanical and magneto-electronic properties of europium lanthanide-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe): An ab initio study

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Journal of Rare Earths 2024年第3期42卷 562-569,I0005页

作者： hayat ullah Azra Sarwar Sajad Ali Rabah Khenata Abdelmadjid Bouhemadou Saad Bin-Omran Department of Physics Women University of Azad Jammu&Kashmir Bagh 10250Pakistan Department of Physics Abdul Wali Khan UniversityMardan23200KPPakistan LPQ3M Laboratory Institute of Science and TechnologyUniversity of Mascara29000MascaraAlgeria Laboratory for Developing New Materials and Their Characterization Farhat Abbas University Setif l19000SetifAlgeria Department of Physics and Astronomy College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

Computational calculations using density functional theory(DFT) were performed for the first time using the full potential linearized augmented plane wave plus local orbital method(FP-LAPW + LO) to determine the structural, elastic, electronic and magnetic properties of europium-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe). The exchange correlation potentials of GGA along with some analytical methods were adopted for the computation of structural and elastic properties. Moreover, the GGA + U formalism was also added for obtaining more precise electronic and magnetic properties, particularly to address the Eu-4f and Y-3d orientations in the spin-polarized double cell symmetry. The observed lattice parameters of these compounds are consistent with experiment. The observed bulk moduli predict that EuCrO_(3) is harder and less compressible than EuMnO_(3) and EuFeO_(3). The calculated tolerance factors of these compounds are within the cubic symmetry range. Our computed critical radius of EuCrO_(3) shows that EuCrO_(3) has a larger migration energy. Based on their elastic properties, these compounds are ductile in nature. We also computed the thermal properties of these compounds. The band structures and density of states show that these compounds are metallic in character. The lowest ground state energy and magnetic moments of these compounds expose their ferromagnetic nature. The metallic nature and strong ferromagnetism of these compounds make them promising applicants for application in spintronic.

关键词： Perovskites GGA+U Elastic constants Band structure Magnetic moments Rare earths

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Effects of Silicon-Based Fertilizer on Growth, Yield and Nutrient Uptake of Rice in Tropical Zone of Vietnam

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Rice science 2017年第5期24卷 283-290页

作者： Tran Xuan CUONG hayat ullah Avishek DATTA Tran Cong HANH Department of Food Agriculture and Bioresources School of Environment Resources and Development Asian Institute of Technology Pathum Thani 12120 Thailand Department of Soil Science Faculty of Agriculture Forestry and Fishery Hong Duc University Dong Ve Thanh Hoa 440000 Vietnam

Application of silicon(Si) could greatly boost rice yield and mitigate abiotic stress,especially drought.A field experiment was conducted during 2015 at the research farm of Hong Duc University,Thanh Hoa City,Vietnam,to evaluate the effects of five different combined doses of standard fertilizer practice and Si fertilizer on growth,yield and yield components,as well as nutrient uptake of *** treatments consisted of the recommended dose of fertilizer(RDF,110 kg/hm^2 N + 90 kg/hm^2 P_2O_5 + 80 kg/hm^2 K_2O) as the control,RDF + 100 kg/hm^2 SiO_2,RDF + 200 kg/hm^2 SiO_2,RDF + 300 kg/hm^2 SiO_2 and RDF + 400 kg/hm^2 SiO_*** results showed that the growth,grain and straw yields as well as yield components(number of grains per panicle,seed-setting rate and 1000-grain weight) were significantly affected by Si *** highest grain yield of 3 705 kg/hm^2 was obtained with the highest level of Si fertilizer in combination with RDF(RDF + 400 kg/hm^2 SiO_2),however,it was statistically at par with the yields obtained with RDF + 300 kg/hm^2 SiO_2(3 664 kg/hm^2) and RDF + 200 kg/hm^2 SiO_2(3 621 kg/hm^2).The optimum dose of Si fertilizer with maximized grain yield(3 716 kg/hm^2) was 329 kg/hm^2 SiO_*** nutrient(Si,N,P and K) uptakes of rice were also significantly enhanced by Si *** application at the level of 329 kg/hm^2 along with RDF would help in the sustainable production of rice in the tropical zone of Vietnam.

关键词： silicon yield nutrient uptake standard fertilizer practice rice fertilizer

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Anomaly Based Camera Prioritization in Large Scale Surveillance Networks

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Computers, Materials & Continua 2022年第2期70卷 2171-2190页

作者： Altaf Hussain Khan Muhammad hayat ullah Amin ullah Ali Shariq Imran Mi Young Lee Seungmin Rho Muhammad Sajjad Department of Software Sejong University143-747SeoulKorea Digital Image Processing Lab Islamia College Peshawar25000Pakistan Color Lab Department of Computer ScienceNorwegian University of Science and Technology(NTNU)2815GjovikNorway CORIS Institute Oregon State University97331OregonUSA

Digital surveillance systems are ubiquitous and continuously generate massive amounts of data,and manual monitoring is required in order to recognise human activities in public *** surveillance systems that can automatically identify normal and abnormal activities are highly desirable,as these would allow for efficient monitoring by selecting only those camera feeds in which abnormal activities are *** paper proposes an energy-efficient camera prioritisation framework that intelligently adjusts the priority of cameras in a vast surveillance network using feedback from the activity recognition *** proposed system addresses the limitations of existing manual monitoring surveillance systems using a three-step *** the first step,the salient frames are selected from the online video stream using a frame differencing method.A lightweight 3D convolutional neural network(3DCNN)architecture is applied to extract spatio-temporal features from the salient frames in the second ***,the probabilities predicted by the 3DCNN network and the metadata of the cameras are processed using a linear threshold gate sigmoid mechanism to control the priority of the *** proposed system performs well compared to state-of-theart violent activity recognition methods in terms of efficient camera prioritisation in large-scale surveillance *** experiments and an evaluation of activity recognition and camera prioritisation showed that our approach achieved an accuracy of 98%with an F1-score of 0.97 on the Hockey Fight dataset,and an accuracy of 99%with an F1-score of 0.98 on the Violent Crowd dataset.

关键词： Camera prioritisation surveillance networks convolutional neural network computer vision deep learning resource-constrained device violent activity recognition

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Iron Toxicity Tolerance of Rice Genotypes in Relation to Growth,Yield and Physiochemical Characters

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Rice science 2023年第4期30卷 321-334,I0013-I0023页

作者： Sheikh Faruk AHMED hayat ullah May Zun AUNG Rujira TISARUM Suriyan CHA-UM Avishek DATTA Agricultural Systems and Engineering Department of FoodAgriculture and BioresourcesSchool of EnvironmentResources and DevelopmentAsian Institute of TechnologyKlong LuangPathum Thani 12120Thailand National Center for Genetic Engineering and Biotechnology National Science and Technology Development AgencyKlong LuangPathum Thani 12120Thailand

Iron(Fe)toxicity,generated from excess reduced ferrous Fe(Fe^(2+))ion formation within the soil under submerged condition,is a potent environmental stress that limits lowland rice *** 11 diverse Thai rice genotypes,including a recognized tolerant genotype Azucena and a susceptible genotype IR64,were evaluated against 5 Fe^(2+)levels[0(control),150,300,600 and 900 mg/L]to screen the tested genotypes for their Fe-toxicity tolerance and to classify them as a sensitive/tolerant *** evaluation was conducted by a germination study,followed by a polyhouse study on growth,yield and physiochemical *** showed significant variations in Fe^(2+)-tolerance across *** Fe^(2+)level beyond 300 mg/L was detrimental for germination and growth of all the tested genotypes,although germination responses were negatively affected at Fe^(2+)≥300 mg/*** responses in the form of leaf greenness,net photosynthetic rate,membrane stability index and Fe contents in leaf and root were the most representative of Fe^(2+)-toxicity-mediated impairments on overall growth and *** in physiochemical responses was effectively correlated with the contrasting ability of the genotypes on lowering excess Fe^(2+)in *** of average tolerance and stress tolerance index unveiled that the genotypes RD85 and RD31 were the closest to the tolerant check Azucena and the sensitive check IR64,*** unweighted pair group method with arithmetic means clustering revealed three major clusters,with cluster Ⅱ(four genotypes)being Fe^(2+)tolerant and cluster Ⅰ(four genotypes)being Fe^(2+)*** component(PC)analysis and genotype by trait-biplot analysis showed that the first two components explained 90.5%of the total variation,with PC1 accounting for 56.6%and PC2 for 33.9%of the total *** identified tolerant rice genotypes show potentials for cultivation in Fe^(2+)-toxic lowlands for increased productiv

关键词： iron toxicity Oryza sativa L. submerged soil principal component analysis stress tolerance index

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Comparative study for machine learning classifier recommendation to predict political affiliation based on online

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CAAI Transactions on Intelligence Technology 2021年第3期6卷 251-264页

作者： hayat ullah Bashir Ahmad Iqra Sana Anum Sattar Aurangzeb Khan Saima Akbar Muhammad Zubair Asghar Department of Computer Science Qurtuba University of Science and TechnologyDera Ismail KhanKhyber PakhtunkhwaPakistan Institute of Computing and Information Technology Gomal UniversityDera Ismail KhanKhyber PakhtunkhwaPakistan Deptartment of Computer Science University of Science and TechnologyBannuKhyber PakhtunkhwaPakistan

In the current era of social media,different platforms such as Twitter and Facebook have frequently been used by leaders and the followers of political parties to participate in political events,campaigns,and *** acquisition,analysis,and presentation of such content have received considerable attention from opinion-mining *** this purpose,different supervised and unsupervised techniques have been ***,they have produced less efficient results,which need to be improved by incorporating additional classifiers with the extended data *** authors investigate different su-pervised machine learning classifiers for classifying the political affiliations of *** this purpose,a data set of political reviews is acquired from Twitter and annotated with different polarity *** pre-processing,different machine learning classifiers like K-nearest neighbor,naïve Bayes,support vector machine,extreme gradient boosting,and others,are *** results illustrate that support vector machine and extreme gradient boosting have shown promising results for predicting political affiliations.

关键词： boosting classifier extreme

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Development of bis-thiobarbiturates as successful urease inhibitors and their molecular modeling studies

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Chinese Chemical Letters 2016年第5期27卷 693-697页

作者： Fazal Rahim Muhammad Ali Shifa ullah Umer Rashid hayat ullah Muhammad Taha Muhammad Tariq Javed Wajid Rehman Aftab Ahmad Khan Obaid Ur Rahman Abid Muhammad Bilal Department of Chemistry Hazara University Department of Chemistry COMSATS Institute of Information Technology Department of Biochemistry and Biotechnology The Islamia University of Bahawalpur Atta-ur-Rahman Institute for Natural Product Discovery Universiti Teknologi MARA (UiTM)Puncak Alam Campus Faculty of Applied Science UiTM Department of Environmental Science COMSATS Institute of Information Technology

Bis-thiobarbiturate derivatives 1-15 have been synthesized, characterized by 1HNMR and El-MS and screened for urease inhibition. All compounds showed various degree of urease inhibitory activity with iC50 values ranging 7.45 ± 0.12 - 74.24 ± 0.81 μmol/L while the standard thiourea behaved normally （ICso = 21.10 ±0.12）. Compounds I （IC50= 7.45 ± 0.12 ]μmol/L）, 9 （IC50 =18,17 ± 1.03 bmol/L） and 13 （IC50= 8.61 ± 0.45 bmol/L） showed excellent urease inhibitory activity in the series. Molecular modeling studies were performed to understand the binding site with the bimetallic nickel center of the enzyme. Structure-activity relationship has also been established for these compounds. This study identified bis- thiobarbiturate as a novel class of urease inhibitors.

关键词： Thiobarbituric acid Synthesis Urease inhibition Molecular docking studies

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Influence of preceding crop and tillage system on forage yield and quality of selected summer grass and legume forage crops under arid conditions

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Journal of Integrative Agriculture 2022年第11期21卷 3329-3344页

作者： Hend H.M.HASSAN El-Sayed E.A.EL-SOBKY Elsayed MANSOUR Ahmed S.M.El-KHOLY Mohamed F.AWAD hayat ullah Avishek DATTA Forage Crops Research Department Field Crops Research InstituteAgricultural Research CenterGiza 12619Egypt Agronomy Department Faculty of AgricultureZagazig UniversityZagazig 44519Egypt Department of Biology College of ScienceTaif UniversityTaif 21944Saudi Arabia Agricultural Systems and Engineering Department of FoodAgriculture and BioresourcesSchool of EnvironmentResources and DevelopmentAsian Institute of TechnologyKlong LuangPathum Thani 12120Thailand

Among the crop production factors,preceding crop and tillage management affect the sustainable use of soil resources and ultimately crop growth and *** study aimed at investigating the impact of preceding winter crops(grass or legume)and different tillage systems on forage yield,quality and nutritive values of three summer grass(Sudan grass,pearl millet and teosinte)and two legume forage crops(cowpea and guar)under arid *** results exhibited that growing forage crops after legumes(as berseem clover)produced the highest fresh and dry forage yields and quality attributes compared with grasses(as wheat)with the exception of crude fiber content,which was ***,tillage practices showed positive impact on forage yields and quality *** maximum forage yields and quality parameters were recorded under conventional tillage(CT)practice compared with reduced tillage(RT)and no-tillage(NT)*** the evaluated crops,the highest yields of fresh forage,dry forage,crude fiber,crude protein and total digestible nutrient were exhibited by grass forage crops(Sudan grass,pearl millet and teosinte),whereas the highest crude protein content and the digestible energy values were produced by legume forage crops(cowpea and guar).The maximum fresh forage,dry forage,crude fiber,crude protein,total digestible nutrient and digestible crude protein yields were produced by pearl millet followed by Sudan grass under CT and RT after berseem *** highest net return was recorded by sowing pearl millet after berseem clover and applying CT followed by RT practices,which could be recommended for the commercial ***,it could be assumed that the combination of growing grass forage crops after legume crops under CT or RT systems could enhance forage crop yield and quality with an improvement in soil properties for sustainable agriculture with low cost and the highest net income.

关键词： soil tillage preceding crop forage quality nutritive values net return

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Three-dimensional flow of Powell–Eyring nanofluid with heat and mass flux boundary conditions

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Chinese Physics B 2016年第7期25卷 261-268页

作者： Tasawar hayat Ikram ullah Taseer Muhammad Ahmed Alsaedi Sabir Ali Shehzad Department of Mathematics Quaid-I-Azam University Nonlinear Analysis and Applied Mathematics (NAAM) Research Group Department of Mathematics Faculty of ScienceKing Abdulaziz University Department of Mathematics Comsats Institute of Information Technology

This article investigates the three-dimensional flow of Powell–Eyring nanofluid with thermophoresis and Brownian motion effects. The energy equation is considered in the presence of thermal radiation. The heat and mass flux conditions are taken into account. Mathematical formulation is carried out through the boundary layer approach. The governing partial differential equations are transformed into the nonlinear ordinary differential equations through suitable variables. The resulting nonlinear ordinary differential equations have been solved for the series solutions. Effects of emerging physical parameters on the temperature and nanoparticles concentration are plotted and discussed. Numerical values of local Nusselt and Sherwood numbers are computed and examined.

关键词： three-dimensional flow Powell–Eyring fluid nanoparticles thermal radiation

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