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Dynamic traffic congestion pricing and electric vehicle charging management system for the internet of vehicles in smart cities

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Digital Communications and Networks 2021年第4期7卷 492-504页

作者： Nyothiri Aung Weidong Zhang kashif Sultan Sahraoui Dhelim Yibo Ai National Center for Materials Service Safely University of Science and Technology BeijingBeijing100083China Department of Software Engineering Bahria University Islamabad CampusIslamabadPakistan School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 China

The integration of the Internet of Vehicles(IoV)in future smart cities could help solve many traffic-related challenges,such as reducing traffic congestion and traffic *** congestion pricing and electric vehicle charging policies have been introduced in recent ***,the majority of these schemes emphasize penalizing the vehicles that opt to take the congested roads or charge in the crowded charging station and do not reward the vehicles that cooperate with the traffic management *** this paper,we propose a novel dynamic traffic congestion pricing and electric vehicle charging management system for the internet of vehicles in an urban smart city *** proposed system rewards the drivers that opt to take alternative congested-free ways and congested-free charging *** propose a token management system that serves as a virtual currency,where the vehicles earn these tokens if they take alternative non-congested ways and charging stations and use the tokens to pay for the charging *** proposed system is designed for Vehicular Ad-hoc Networks(VANETs)in the context of a smart city environment without the need to set up any expensive toll collection *** large-scale traffic simulation in different smart city scenarios,it is proved that the system can reduce the traffic congestion and the total charging time at the charging stations.

关键词： IoV EV VANET Smart city Congestion pricing Congestion avoidance EV charging Traffic optimization

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Multi-hazard susceptibility mapping based on Convolutional Neural Networks

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Geoscience Frontiers 2022年第5期13卷 59-74页

作者： kashif Ullah Yi Wang Zhice Fang Lizhe Wang Mahfuzur Rahman Institute of Geophysics and Geomatics China University of GeosciencesWuhan 430074China State Key Laboratory of Biogeology and Environmental Geology China University of GeosciencesWuhan 430074China School of Computer Science China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhan 430074China Department of Civil Engineering International University of Business Agriculture and Technology(IUBAT)Dhaka 1230Bangladesh

Multi-hazard susceptibility prediction is an important component of disasters risk management *** effective multi-hazard risk mitigation strategy includes assessing individual hazards as well as their ***,with the rapid development of artificial intelligence technology,multi-hazard susceptibility prediction techniques based on machine learning has encountered a huge *** order to effectively solve this problem,this study proposes a multi-hazard susceptibility mapping framework using the classical deep learning algorithm of Convolutional Neural Networks(CNN).First,we use historical flash flood,debris flow and landslide locations based on Google Earth images,extensive field surveys,topography,hydrology,and environmental data sets to train and validate the proposed CNN ***,the proposed CNN method is assessed in comparison to conventional logistic regression and k-nearest neighbor methods using several objective criteria,i.e.,coefficient of determination,overall accuracy,mean absolute error and the root mean square *** results show that the CNN method outperforms the conventional machine learning algorithms in predicting probability of flash floods,debris flows and ***,the susceptibility maps of the three hazards based on CNN are combined to create a multi-hazard susceptibility *** can be observed from the map that 62.43%of the study area are prone to hazards,while 37.57%of the study area are *** hazard-prone areas,16.14%,4.94%and 30.66%of the study area are susceptible to flash floods,debris flows and landslides,*** terms of concurrent hazards,0.28%,7.11%and 3.13%of the study area are susceptible to the joint occurrence of flash floods and debris flow,debris flow and landslides,and flash floods and landslides,respectively,whereas,0.18%of the study area is subject to all the three *** results of this study can benefit engineers,disaster managers and local government offici

关键词： Multi-hazard Convolutional Neural Network Machine learning Eastern Hindukush Pakistan

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Reservoir Potential Assessment of the Tortonian-Calabrian Sediments from Offshore Makran(Southwest Pakistan)through a Multidisciplinary Approach

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Acta Geologica Sinica(English Edition) 2023年第1期97卷 163-175页

作者： Natasha KHAN Awais ALI Salahudin KHURSHEED kashif ALI Muhammad SAEED Department of Earth Sciences Abbottabad University of Science and TechnologyHavelian 22500Khyber PakhtunkhwaPakistan National Centre of Excellence in Geology University of PeshawarPeshawar 25130Pakistan

The Tortonian–Calabrian strata of Offshore Makran(Pakistan)is investigated for the purpose of reservoir *** stratigraphy and petrophysics indicate that the Neogene sediments have tight reservoir potential with porosities in the range of 3%–9%and 40%–50%water *** mineralogical cross plots indicate a mixed lithology with an abundance of dolomite and calcite,together with minor quartz content and *** seismic interpretation demonstrates medium–high amplitude reflection patterns,mud diapirs coupled with onlapping strata and the occurrence of bottom simulating reflectors(BSRs).The BSRs are characterized by diminished amplitude,low continuity and exhibiting acoustic blanking *** high formation pressure results indicate overpressure zones,suggesting the occurrence of overpressured shales in the Jal *** presence of mud diapirs and gas chimneys are the result of tectonic forces acting at the junction of the Arabian,Indian and Eurasian plates,whereas,BSRs prove the existence of gas charged sediments supporting the formation of mud diapirism in the *** is concluded that the high rates of sedimentation during the Neogene are likely to have contributed to the development of the high formation *** mud weights,casing policies,pore pressure transients and geophysical inversion studies will help alleviate drilling risks in future exploration strategies.

关键词： seismic reservoirs overpressure Neogene Makran

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A Study of Cellular Neural Networks with Vertex-Edge Topological Descriptors

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Computers, Materials & Continua 2022年第2期70卷 3433-3447页

作者： Sadia Husain Muhammad Imran Ali Ahmad Yasir Ahmad kashif Elahi Country College of Computer Science&Information Technology Jazan UniversityJazanSaudi Arabia Department of Mathematical Sciences United Arab Emirates UniversityAl AinUnited Arab Emirates Deanship of E-learning and Information Technology Jazan UniversityJazanSaudi Arabia

The CellularNeuralNetwork(CNN)has various parallel processing applications,image processing,non-linear processing,geometric maps,highspeed *** is an analog paradigm,consists of an array of cells that are interconnected *** can be arranged in different *** cell has an input,a state,and an *** cellular neural network allows cells to communicate with the neighbor cells *** can be represented graphically;cells will represent by vertices and their interconnections will represent by *** chemical graph theory,topological descriptors are used to study graph structure and their biological *** is a single value that characterizes the whole *** this article,the vertex-edge topological descriptors have been calculated for cellular neural *** can be used for cellular neural network of any *** will enhance the applications of cellular neural network in image processing,solving partial differential equations,analyzing 3D surfaces,sensory-motor organs,and modeling biological vision.

关键词： Cellular neural networks degree topological indices

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Self-discharge mitigation in a liquid metal displacement battery

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Journal of Energy Chemistry 2022年第3期31卷 390-396,I0011页

作者： kashif Mushtaq Ji Zhao Norbert Weber Adelio Mendes Donald R.Sadoway Department of Materials Science and Engineering Massachusetts Institute of Technology77 Massachusetts AvenueCambridgeMA 02139-4307United States LEPABE-Laboratory for Process Engineering EnvironmentBiotechnology and EnergyFaculty of EngineeringUniversity of PortoRua Dr.Roberto Frias4200-465 PortoPortugal Department of Mechanical Engineering School of Mechanical and Manufacturing EngineeringNational University of Sciences and TechnologyH-12IslamabadPakistan Helmholtz-Zentrum Dresden-Rossendorf Bautzner Landstr.40001328 DresdenGermany

Recently,a disruptive idea was reported about the discovery of a new type of battery named Liquid Displacement Battery(LDB)comprising liquid metal electrodes and molten salt *** cell featured a novel concept of a porous electronically conductive faradaic membrane instead of the traditional ion-selective ceramic *** are attractive for stationary storage applications but need mitigation against *** the instant battery chemistry,Li|LiCl-PbCl_(2)|Pb,reducing the diffusion coefficient of lead ions can be a way forward and a solution can be the addition of Pb O to the *** latter acts as a supplementary barrier and complements the function of the faradaic *** remedial actions improved the cell’s coulombic efficiency from 92%to 97%without affecting the voltage *** addition,the limiting current density of a 500 m Ah cell increased from 575 to 831 m A cm;and the limiting power from 2.53 to 3.66 ***,the effect of Pb O on the impedance and polarization of the cell was also studied.

关键词： Liquid displacement battery Liquid metal battery High-temperature battery Faradaic membrane ZEBRA battery Electrolyte additives

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Aspect Extraction Approach for Sentiment Analysis Using Keywords

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Computers, Materials & Continua 2023年第3期74卷 6879-6892页

作者： Nafees Ayub Muhammad Ramzan Talib Muhammad kashif Hanif Muhammad Awais Department of Computer Science Government College UniversityFaisalabad38000Pakistan Department of Software Engineering Government College UniversityFaisalabad38000Pakistan

Sentiment Analysis deals with consumer reviews available on blogs,discussion forums,E-commerce websites,andApp *** online reviews about products are also becoming essential for consumers and companies as *** rely on these reviews to make their decisions about products and companies are also very interested in these reviews to judge their products and *** reviews are also a very precious source of information for requirement *** companies and consumers are not very satisfied with the overall sentiment;they like fine-grained knowledge about consumer *** to this,many researchers have developed approaches for aspect-based sentiment *** existing approaches concentrate on explicit aspects to analyze the sentiment,and only a few studies rely on capturing implicit *** paper proposes a Keywords-Based Aspect Extraction method,which captures both explicit and implicit *** also captures opinion words and classifies the sentiment about each *** applied semantic similarity-basedWordNet and SentiWordNet lexicon to improve aspect *** used different collections of customer reviews for experiment purposes,consisting of eight datasets over seven *** compared our approach with other state-of-the-art approaches,including Rule Selection using Greedy Algorithm(RSG),Conditional Random Fields(CRF),Rule-based Extraction(RubE),and Double Propagation(DP).Our results have shown better performance than all of these approaches.

关键词： Sentiment analysis aspect extraction keywords-based machine learning

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Modeling of a Sn-Based HTM-Free Perovskite Solar Cell Using a One-Dimensional Solar Cell Capacitance Simulator Tool

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Transactions of Tianjin University 2023年第1期29卷 62-72页

作者： Eli Danladi Muhammad kashif Andrew Ichoja Bikimi Bitrus Ayiya Department of Physics Federal University of Health SciencesPMB 145OtukpoBenue StateNigeria School of Electrical Automation and Information Engineering Tianjin UniversityTianjin 300072China Faculty of Engineering and Applied Technology Universal College of LearningPrivate Bag 11022Palmerston NorthNew Zealand

Tin(Sn)-based perovskite solar cells(PSCs)have received increasing attention in the domain of photovoltaics due to their environmentally friendly *** this paper,numerical modeling and simulation of hole transport material(HTM)-free PSC based on methyl ammonium tin triiodide(CH_(3) NH_(3) SnI_(3))was performed using a one-dimensional solar cell capacitance simulator(SCAPS-1D)*** eff ect of perovskite thickness,interface defect density,temperature,and electron transport material(ETM)on the photovoltaic performance of the device was *** to optimization,the device demonstrated a power conversion effi ciency(PCE)of 8.35%,fi ll factor(FF)of 51.93%,short-circuit current density(J_(sc))of 26.36 mA/cm 2,and open circuit voltage(V_(oc))of 0.610 *** the above parameters individually while keeping others constant,the obtained optimal absorber thickness was 1.0μm,the interface defect density was 1010 cm-2,the temperature was 290 K,and the TiO 2 thickness was 0.01μ*** simulating with the optimized data,the fi nal device gave a PCE of 11.03%,FF of 50.78%,J_(sc) of 29.93 mA/cm 2,and V_(oc) of 0.726 *** the optimized and unoptimized metric parameters,an improvement of~32.10%in PCE,~13.41%in J_(sc),and~19.02%in V_(oc) were ***,the results of this study are encouraging and can pave the path for developing highly effi cient PSCs that are cost-eff ective,eco-friendly,and comparable to state-of-the-art.

关键词： Perovskite solar cells Sn-based perovskite absorber TiO_(2) Defect density Temperature HTM-free

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Clean label extraction of bioactive compounds from food waste through microwave-assisted extraction technique-A review

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Food Bioscience 2022年第2期46卷 1020-1028页

作者： Tayyaba Alvi Zarnab Asif Muhammad kashif Iqbal Khan National Institute of Food Science and Technology University of AgricultureFaisalabad38000PunjabPakistan Department of Food Engineering University of AgricultureFaisalabad38000PunjabPakistan

Clean label and green extraction have attained popularity due to elimination of solvent use and reduction in energy *** this regard,microwave assisted extraction have emerged as a novel process for extraction of bioactive *** process observed to consume less time and energy but have higher extraction ***,the functionality of bioactive compounds has not degraded in this ***,this article explores the potential of microwave-based extraction as a green and ecofriendly ***,it has been coupled with conventional technique(*** distillation,steam diffusion,hydrodistillation,air hydrodistillation,and hydro-diffusion and gravity)to ease the process and increase the *** data highlights the importance of various hybrid techniques(microwave+conventional ones)for the extraction of bioactive compounds from fruit&vegetable waste.

关键词： Ecofriendly Green extraction Sustainable Solvent free extraction Fruit waste

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Conservation laws,Lie symmetries,self adjointness,and soliton solutions for the Selkov–Schnakenberg system

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Communications in Theoretical Physics 2024年第2期76卷 29-44页

作者： kashif Ali Aly R Seadawy Syed T R Rizvi Noor Aziz Department of Mathematics COMSATS University IslamabadLahore CampusPakistan Mathematics Department Faculty of ScienceTaibah UniversityAl-Madinah Al-Munawarah41411Saudi Arabia

In this article,we explore the famous Selkov–Schnakenberg(SS)system of coupled nonlinear partial differential equations(PDEs)for Lie symmetry analysis,self-adjointness,and conservation ***,miscellaneous soliton solutions like dark,bright,periodic,rational,Jacobian elliptic function,Weierstrass elliptic function,and hyperbolic solutions of the SS system will be achieved by a well-known technique called sub-ordinary differential *** these results are displayed graphically by 3D,2D,and contour plots.

关键词： Selkov-Schnakenberg system Lie symmetry analysis conservation laws adjointness integrability

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Performance Prediction of Sonar Using Matlab＆Actual Ocean Data

Performance Prediction of Sonar Using Matlab＆Actual Ocean D...

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作者： kashif Iqbal 哈尔滨工程大学

学位级别：硕士

当下是一个继往开来的时代，由于海洋资源的具有重要的经济和战略意义，世界各国都在积极寻找探索开发海洋的有效途径。而海洋设备的开发耗资大并且极具挑战，需要耗费大量的财力和物力。一旦最终产品未能满足相应的性能指标，将造成时... 详细信息

当下是一个继往开来的时代，由于海洋资源的具有重要的经济和战略意义，世界各国都在积极寻找探索开发海洋的有效途径。而海洋设备的开发耗资大并且极具挑战，需要耗费大量的财力和物力。一旦最终产品未能满足相应的性能指标，将造成时间和财力的巨大浪费。因此，本文重点讨论了声纳的性能预测，从而为设备的设计和开发提供参考。尽管在海洋参数上采取了基本的近似，该预报方法可为更复杂精密的预报软件提供有效的指导。软件设计包括声纳系统各项参数的实时输入和显示声纳工作状态的图形的实时输出。最后，将软件输出的结果与Karachi浅海模型和Ormara深海模型进行了比较，同时针对冬季和夏季的不同条件也进行了对比分析。文章开始简单的讨论了主动声纳和其发展历史。随后详细讨论了本文中使用的声纳系统和主动声纳方程。然后详细推导了主动声纳方程涉及的主要公式。设计开发了基于不同参数的界面（GUI）。最后，给出了基于2009世界海洋地图集和Argo（海洋）的海洋数据的计算结果。本项目的顺利完成，离不开我中国和巴基斯坦的同事们，尤其是我的导师朴胜春和我的同事Asim Ismail先生的大力支持。有了他们的谆谆教导和源源不断的支持，我的论文才日益丰满。同时要感谢M. Amjad先生、徐传秀先生以及其他同事在编程方面给予的帮助。

关键词：主动声纳性能预测界面(GUI)

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