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Carbon compensation and carbon neutrality:Regional variations based on net carbon transfer of trade in China

Geoscience Frontiers 2024年第4期15卷 159-175页

作者： Xue Han Xincai Gao Fayyaz Ahmad abbas Ali Chandio Salim khan School of Economics Lanzhou UniversityLanzhou 730000GansuChina College of Economics Sichuan Agricultural UniversityChengdu 611130China School of Management Guangzhou UniversityGuangzhou 510006China

Inter-provincial carbon compensation is an important means for a country to realize regional environmental protection and achieve coordinated regional development and realize the carbon neutral *** is easier to realize inter-provincial carbon compensation compared with the national *** on the multi-regional input-output model and the input-output data of 30 provinces in China,this study measured the carbon transfer in,carbon transfer out and net carbon transfer of each province,and based on the undesirable slacks-based measurement model under the common frontier,the provinces were given the shadow price of carbon emission in line with the situation of the local economic development,resource endowment,and industrial structure,and based on which,the amount of carbon compensation of each province was *** results show that:China's provinces and regions have a larger share of trade-implied carbon emissions;the net carbon transfer in areas mainly concentrated in the traditional energy provinces,which provide industrial products for other regions and undertake the transfer of carbon emissions,and become the main carbon compensation recipient areas;the net carbon transfer out is mainly concentrated in the economically developed and densely populated areas such as Beijing-Tianjin region and the eastern and southern coasts,which satisfy the end-consumption by purchasing a large number of industrial products and generate a large amount of carbon *** out;becoming the main carbon offset payment *** on the results of this study,it is proposed to improve the national provincial carbon offset mechanism and implement a differentiated and synergistic carbon emission reduction cooperation *** research program of this study can provide a reference for the development of inter-regional carbon offset programs.

关键词： Carbon transfer Shadow price Carbon emission responsibility Carbon compensation

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APPROXIMATING COMMON FIXED POINTS OF NEARLY ASYMPTOTICALLY NONEXPANSIVE MAPPINGS

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Analysis in Theory and Applications 2011年第1期27卷 76-91页

作者： Safeer Hussain khan Mujahid abbas Qatar University Lahore University of Management Sciences

We use an iteration scheme to approximate common fixed points of nearly asymptotically nonexpansive mappings. We generalize corresponding theorems of [1] to the case of two nearly asymptotically nonexpansive mappings ... 详细信息

关键词： iteration scheme nearly asymptotically nonexpansive mapping rate of con-vergence common fixedpoint weak and strong convergence

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Unsteady RANS simulation of wind flow around a building shape obstacle

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Building Simulation 2022年第2期15卷 291-312页

作者： Sheikh hassan Md.Mamun Molla Preetom Nag Nasrin Akhter Amirul khan Department of Mathematics&Physics North South UniversityDhaka 1229Bangladesh Department of Mathematics Dhaka University of Engineering&TechnologyGazipur 1708Bangladesh School of Civil Engineering University of LeedsLeeds LS29JTUK

This work aims to find the origin and connection of the surface,near-wake,and far-wake structures in the flow encompassing a high-rise building for a high Reynolds *** origin and interconnection of the stream-wise tip vortices,with the other components of the wake,is analysed in this study for the current *** Unsteady Reynolds Averaged Navier-Stokes equations(URANS)together with the realizable k-εturbulence model have been used in this investigation to study the turbulent wake flow following a ground-surface-attached square shape building.A moderately big obstacle aspect ratio of 4,a Reynolds number of 12,000,and a thin evolving boundary layer thickness have been used in the flow *** designed flow addresses the reversed-flows at the outlet during computation to improve the accuracy of the realizable k-e *** Reynolds stress components are retrieved using the Boussinesq *** wake’s principal compositions,including span-wise-side eddies and area of high stream-wise vorticity in the uppermost portion of the wake,are illustrated by both three-dimensional(3D)representations and planner projections of the mean flow distributions.A braided vortex formation,composed of asymmetric hairpin vortexes,is witnessed in the far-wake *** association of the near-wake vortex structures with the far-wake and near-wall flow,which is associated with the flow strengths,is also *** this investigation,few areas of large stream-wise vorticity magnitude,like tip vortexes,are correlated to the 3D curving of the fluid motion,and tip vortices did not continuously reach to the free end part of the *** 3D fluid motion interpretation,which combined several measurements of the flow distribution encompassing the cylinder,shows that the time-averaged near-wake structures are formed of two segments of distinct source and section of ***,addressing reversed-flow during computation shows notable improvement in the results.

关键词： turbulent wake vortex shedding flow structures tip vortexes model building URANS turbulent boundary layer

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An Algorithm for the Protection of Distribution Feeders Using the Stockwell and Hilbert Transforms Supported Features

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CSEE Journal of Power and Energy Systems 2021年第6期7卷 1278-1288页

作者： OM Prakash Mahela Jaya Sharma Bipul Kumar Baseem khan hassan Haes Alhelou the Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam Ltd.Jaipur-302005India Department of Electrical Engineering Rajasthan College of Engineering for WomenJaipurIndia the Department of Electrical and Computer Engineering Hawassa UniversityHawassa 1530Ethiopia the Department of Electrical Power Engineering Faculty of Mechanical and Electrical EngineeringTishreen UniversityLattakia 2230Syria

Faults’recognition in the distribution feeders(DFs)is extremely important for improving the reliability of the distribution ***,this paper proposes a technique to identify the faults on the DF using the Stockwell Transform(ST)dependent variance feature and Hilbert transform(HT)by utilizing current *** element to element multiplication of the H-index,we compute using HT aided decompositions of current waveforms and VS-index,and calculate through ST aided decomposition of current *** utilizing the decision rules,various faults are *** faults studied in this work are line to ground,double line,double line to ground and 3-Φto *** high fault impedance,this technique is effectively ***,variations in the fault incidence angles are also utilized to test the performance of the proposed *** perform the proposed algorithm,a IEEE-13 bus system is developed in MATLAB/Simulink *** algorithm effectively classified the faults with accuracy greater than 98%.The algorithm is also successfully validated on the IEEE-34 bus test ***,the algorithm was successfully validated on the practical power system *** is recognized that the developed method performed better than the discrete Wavelet transform(DWT)and ruled decision tree based protection scheme reported in various literature.

关键词： Fault classification fault recognition H-index VS-index

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Bioconvection Mangnetohydrodynamic Tangent Hyperbolic Nanofluid Flow with Quartic Chemical Reaction Past a Paraboloid Surface

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Computer Modeling in Engineering & Sciences 2022年第1期130卷 205-220页

作者： S.M.Atif W.A.khan Muhammad abbas Umair Rashid Department of Mathematics Capital University of Science and TechnologyIslamabadPakistan Department of Mechanical Engineering College of EngineeringPrinceMohammad Bin Fahd UniversityAl KhobarSaudi Arabia Department of Mathematics University of SargodhaSargodhaPakistan CASKey Laboratory of Mechanical Behavior andDesign of Materials Department of Modern MechanicsUniversity of Science and Technology of ChinaHefeiChina

In this numerical study,the effect of quartic autocatalysis type of chemical reaction,buoyancy force and thermal radiation phenomenon and magnetic effect on tangent hyperbolic nanofluid past an upper horizontal surface of a paraboloid has been *** considering the Buongiorno model approach,a diffusion of unequal coefficients in the presence of gyrotactic microorganism is *** of microorganism’s idea is used to stabilize the nanoparticles through *** modeled PDEs of the problems are converted into nonlinear ODEs with the assistant of the similarity *** tackle nonlinear ODEs,MATLAB package bvp4c is *** addition,a hallmark of the Matlab code with the reported results in the literature is achieved by *** variations in motion,concentration,temperature,and motile density due to sundry parameters have been analyzed in-depth via *** analysis shows that the density profile of motile of microorganism is hiked with an increment in the bioconvection Rayleigh number but decreases for higher thermal Grashof number.

关键词： Quartic autocatalysis tangent hyperbolic nanofluid brownian motion paraboloid of revolution MHD flow thermophoresis

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Autonomous Parking-Lots Detection with Multi-Sensor Data Fusion Using Machine Deep Learning Techniques

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Computers, Materials & Continua 2021年第2期66卷 1595-1612页

作者： Kashif Iqbal Sagheer abbas Muhammad Adnan khan Atifa Ather Muhammad Saleem khan Areej Fatima Gulzar Ahmad School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Sciences GC UniversityLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science Comsats University IslamabadLahore CampusLahore54000Pakistan

The rapid development and progress in deep machine-learning techniques have become a key factor in solving the future challenges of ***-based target detection and object classification have been improved due to the development of deep learning *** fusion in autonomous driving is a fact and a prerequisite task of data preprocessing from multi-sensors that provide a precise,well-engineered,and complete detection of objects,scene or *** target of the current study is to develop an in-vehicle information system to prevent or at least mitigate traffic issues related to parking detection and traffic congestion *** this study we examined to solve these problems described by(1)extracting region-of-interest in the images(2)vehicle detection based on instance segmentation,and(3)building deep learning model based on the key features obtained from input parking *** build a deep machine learning algorithm that enables collecting real video-camera feeds from vision sensors and predicting free parking *** augmentation techniques were performed using edge detection,cropping,refined by rotating,thresholding,resizing,or color augment to predict the region of bounding boxes.A deep convolutional neural network F-MTCNN model is proposed that simultaneously capable for compiling,training,validating and testing on parking video frames through *** results of proposed model employing on publicly available PK-Lot parking dataset and the optimized model achieved a relatively higher accuracy 97.6%than previous reported ***,this article presents mathematical and simulation results using state-of-the-art deep learning technologies for smart parking space *** results are verified using Python,TensorFlow,OpenCV computer simulation frameworks.

关键词： Smart parking-lot detection deep convolutional neural network data augmentation region-of-interest object detection

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Effect of temperature on milk fats of cow,buffalo,and goat used for frying local food products

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Food Quality and Safety 2018年第1期2卷 51-57页

作者： Mohd Umar khan Mohammad Fahimul hassan Abdul Rauf Department of Chemistry Aligarh Muslim UniversityAligarhUttar PradeshIndia

Objectives:Thermal processes,such as refining and frying,result in the formation of trans fatty acids(TFAs)in edible oils or *** the detrimental effect of TFAs on human health,milk fat samples of cow,buffalo,and goat are collected in order to elucidate TFAs accumulation during thermal ***:The increased amount of TFAs due to heating is analyzed by attenuated total reflection-Fourier transform infrared(ATR-FTIR)spectroscopy in conjunction with second-derivative treatment and gas chromatographic(GC)***:The total amount of TFAs has been increased from 7.71 to 8.25 per cent for cow milk fat,7.12 to 7.82 per cent for buffalo milk fat,and from 6.82 to 7.61 per cent for goat milk fat on heating the samples to 125°C-175°C as predicted by ***:Local food products fried in these milk fats are hence very harmful to human *** results demonstrate that thermally induced TFAs in milk fats are closely related to the process temperature and time,which should be considered to reduce the formation of TFAs during thermal treatment.

关键词： Milk fat Trans fatty acid Local food products Heating phenomenon FTIR spectroscopy

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Modelling Intelligent Driving Behaviour Using Machine Learning

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Computers, Materials & Continua 2021年第9期68卷 3061-3077页

作者： Qura-Tul-Ain khan Sagheer abbas Muhammad Adnan khan Areej Fatima Saad Alanazi Nouh Sabri Elmitwally School of Computer Science NCBA&ELahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science College of Computer and Information SciencesJouf UniversitySkakaAljouf72341Saudi Arabia Department of Computer Science Faculty of Computers and Artificial IntelligenceCairo University12613Egypt

In vehicular systems,driving is considered to be the most complex task,involving many aspects of external sensory skills as well as cognitive *** skills include the estimation of distance and speed,time perception,visual and auditory perception,attention,the capability to drive safely and action-reaction *** intelligence works as an internal mechanism that manages and holds the overall driver’s intelligent *** cognitive capacities constitute the frontiers for generating adaptive behaviour for dynamic *** parameters for understanding intelligent behaviour are knowledge,reasoning,decision making,habit and cognitive *** intelligent behaviour reveals that many of these parameters operate simultaneously to enable drivers to react to current *** changes prompt the parameter values to change,a process which continues unless and until all processes are *** paper model intelligent behaviour by using a‘driver behaviour model’to obtain accurate intelligent driving behaviour *** model works on layering patterns in which hierarchy and coherence are maintained to transfer the data with accuracy from one module to *** patterns constitute the outcome of different modules that collaborate to generate appropriate *** this case,accurate patterns were acquired using ANN static and dynamic non-linear autoregressive approach was used and for further accuracy validation,time-series dynamic backpropagation artificial neural network,multilayer perceptron and random sub-space on real-world data were also applied.

关键词： Machine learning artificial neural network ann time series intelligent behaviour agent

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Personality Detection Using Context Based Emotions in Cognitive Agents

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Computers, Materials & Continua 2022年第3期70卷 4947-4964页

作者： Nouh Sabri Elmitwally Asma Kanwal Sagheer abbas Muhammad A.khan Muhammad Adnan khan Munir Ahmad Saad Alanazi College of Computer and Information Sciences Jouf UniversitySakaka72341Saudi Arabia Department of Computer Science Faculty of Computers and Artificial IntelligenceCairo University12613Egyp t 3School of Computer Science National College of Business administration and EconomicsLahore54000Pakistan Department of Computer Science GC UniversityLahorePakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13120Korea

Detection of personality using emotions is a research domain in artificial *** present,some agents can keep the human’s profile for interaction and adapts themselves according to their ***,the effective method for interaction is to detect the person’s personality by understanding the emotions and context of the *** idea behind adding personality in cognitive agents begins an attempt to maximize adaptability on the basis of *** our daily life,humans socially interact with each other by analyzing the emotions and context of interaction from audio or visual *** paper presents a conceptual personality model in cognitive agents that can determine personality and behavior based on some text input,using the context subjectivity of the given data and emotions obtained from a particular situation/*** proposed work consists of Jumbo Chatbot,which can chat with *** this social interaction,the chatbot predicts human personality by understanding the emotions and context of interactive ***,the Jumbo chatbot is using the BFI technique to interact with a *** accuracy of proposed work varies and improve through getting more experiences of interaction.

关键词： Emotions fuzzy personality detection contextual analysis semantic analysis

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Forest Cover Change Assessment in Conflict-affected Areas of Northwest Pakistan: the Case of Swat and Shangla Districts

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Journal of Mountain Science 2012年第3期9卷 297-306页

作者： Faisal Mueen QAMER Sawaid abbas Rashid SALEEM Khurram SHEHZAD hassan ALI Hammad GILANI World Wide Fund for Nature(WWF)Pakistan LahorePakistan International Centre for Integrated Mountain Development(ICIMOD) KathmanduNepal Asian Institute of Technology BangkokThailand

This study examines the spatial and temporal forest cover changes in Swat and Shangla districts to understand the deforestation pattern in context of the recent security conflict in these districts. We used multi-resolution satellite images to assess the long term deforestation from 2001 to 2009 and also to identify episodic forest cutting areas appeared during the conflict period of Oct. 2007 - Oct. 2008. There are only 58 ha of deforestation identified during the conflict period while 1268 ha of gross annual deforestation were assessed during last eight years. Most of the deforestation patches persist around the administrative boundaries at sub-district levels (tehsils) which can be attributed to ambiguity in unclear jurisdiction between the forest official. The results highlight that the forest cutting appeared in Swat and Shangla during the conflict period is not as significant when compared with the long term deforestation pattern in the area. On the one side the results of the study are supportive to the picture that emerges from international studies which report high rate of deforestation in the country and on the other side it negates any relation between the security situation and the increasing deforestation in the north western Pakistan. The study concludes that deforestation assessments require verification by independent sources of data, such as satellite imagery to improve our understanding of deforestation processes.

关键词： Forest cover change Deforestation Conflict-affected area GIS Pakistan

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