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可再生能源研究：巴基斯坦风力发电及电力评估

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可再生能源研究：巴基斯坦风力发电及电力评估

作者： SYED mubashir hassan 华北电力大学(北京)

学位级别：硕士

近年来,电力系统面临电力需求增长的挑战,风电在可再生能源生产中发挥着至关重要的作用,本文提出;框架围绕分析双馈感应电机稳态的不同参数。大部分数据是从巴基斯坦国家可再生能源实验室收集的,用于我们的文献综述和研究目的,这为我们... 详细信息

近年来,电力系统面临电力需求增长的挑战,风电在可再生能源生产中发挥着至关重要的作用,本文提出;框架围绕分析双馈感应电机稳态的不同参数。大部分数据是从巴基斯坦国家可再生能源实验室收集的,用于我们的文献综述和研究目的,这为我们的仿真和开发基于双馈感应发电机的风力涡轮机模型提供了基础,借助MATLAB/Simulink获得了对称电压倾角分析。与理想状态和使用的算法进行了比较,该算法为我们提供了产量结果。当组装模型中的速度发生变化时,其扭矩和转子电流会发生变化,为此我们必须研究涡轮机的机械方面。在方法部分讨论了初始条件和风力涡轮机模型,并描述了使用Crowbar保护来优化结果的重要性。目前,巴基斯坦的大多数功能性项目都是基于德国模式的,使用30m-50m涡轮机,由于能源领域的最新发展,由于“一带一路”倡议(BRI),许多与中国的合作正在进行中。

关键词：风电算法 Crowbar 稳态 DFIG 主成分分析风电场能源管理电压跌落分析

Insecticidal Potential of α-Pinene and β-Caryophyllene against Myzus persicae and Their Impacts on Gene Expression

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Phyton-International Journal of Experimental Botany 2023年第7期92卷 1943-1954页

作者： Talha Ali Chohan Tahir Ali Chohan Muhammad Zahid Mumtaz Muhammad Waqar Alam Salah ud Din Iqra Naseer Ayesha Riaz Tayyeba Naseem Areeba Iftikhar Dur ENajaf Ali mubashir hassan Hayssam M.Ali Institute of Molecular Biology and Biotechnology(IMBB) The University of LahoreLahore54000Pakistan Institute of Pharmaceutical Sciences University of Veterinary and Animal SciencesLahore54000Pakistan Deparment of Plant Pathology University of OkaraOkara56300Pakistan Deparment of Bioinformatics University of OkaraOkara56300Pakistan Department of Soil Science The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Zoology The Islamia University of BahawalpurBahawalpur(Bahawalnagar Campus)63100Pakistan The Steve and Cindy Rasmussen Institute for Genomic Medicine Nationwide Children’s HospitalColumbusOhio43205USA Department of Botany and Microbiology College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

Myzus persicae(***)is now considered a threat to agricultural crops due to economic *** synthetic insecticides applied every year against ***,are reported to be unsafe for environment,humans,and beneficial ***,several species of Myzus have been found to develop resistance due to over application of these ***,it is required to find some novel insecticide that would be safe for the environment as well as for *** the current study,two major pure constituentsα-pinene andβ-caryophyllene were evaluated for their insecticidal potential against *** using a fumigant toxicity ***,impact ofα-pinene andβ-caryophyllene on expression of five different genes,e.g.,HSP 60,FPPS I,OSD,TOL and ANT responsible for reproduction,dispersion,and growth of *** has also been *** perform fumigant toxicity assay,five different concentrations(3.5,4,4.5,5 and 6μL L−1)ofα-pinene andβ-caryophyllene were *** concentration(LC)was calculated,and gene expression studies were executed through qRT PCR at LC30 ofα-pinene andβ-*** constituents demonstrated excellent fumigant toxicity effects against *** at all five ***,α-pinene shows significantly better results(98%)as compared toβ-caryophyllene(80%)after 72 h at 6μL L−1 of *** highest upregulation in expression was demonstrated at LC30 dose ofα-pinene in five in three out of five genes understudy(TOL,ANT,and FPPS I).Conversely,two genes HSP 60 and OSD demonstrated downregulation at LC30 dose ofβ-***,our results highlighted the promising insecticidal potential of both compoundsα-pinene andβ-caryophylleneby interfering with the reproduction and development related processes in ***,allowing us to recommend the phytoconstituents under investigation as an ecofriendly alternative to synthetic insecticides.

关键词： Fumigation M.persicae gene expression real time PCR α-pinene β-caryophyllene

Signature-Based Intrusion Detection System in Wireless 6G IoT Networks

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Journal on Internet of Things 2022年第3期4卷 155-168页

作者： Mansoor Farooq mubashir hassan Khan University of Kashmir Srinagar190003India Cluster University Srinagar190008India

An“Intrusion Detection System”(IDS)is a security measure designed to perceive and be aware of unauthorized access or malicious activity on a computer system or ***-based IDSs employ an attack signature database to identify *** indicates that the system can only identify known attacks and cannot identify brand-new or unidentified *** Wireless 6G IoT networks,signature-based IDSs can be useful to detect a wide range of known attacks such as viruses,worms,and ***,these networks have specific requirements and constraints,such as the need for real-time detection and low-power *** meet these requirements,the IDS algorithm should be designed to be efficient in terms of resource usage and should include a mechanism for updating the attack signatures to keep up with evolving *** paper provides a solution for a signature-based intrusion detection system in wireless 6G IoT Networks,in which three different algorithms were used and implemented by using python and JavaScript programming languages and an accuracy of 98.9%is achieved.

关键词： IDS IoT 6G Wireless Networks Signature Based IDS CIC-IDS2018

Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates

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Computers, Materials & Continua 2022年第8期72卷 2411-2427页

作者： mubashir Ali Anees Baqir Hafiz Husnain Raza Sherazi Asad Hussain Asma hassan Alshehri Muhammad Ali Imran Department of Management Information and Production EngineeringUniversity of BergamoBergamo24129Italy Department of Environmental Sciences Informatics and StatisticsCa’Foscari University of VeniceVenice30123Italy School of Computing and Engineering University of West LondonLondonW55RFUK Department of Engineering and Applied Sciences University of BergamoBergamo24129Italy Durma College of Science and Humanities Shaqra UniversityShaqra11961Saudi Arabia School of Engineering University of GlasgowGlasgowG128QQUK

With the advent of technological advancements and the widespread Internet connectivity during the last couple of decades,social media platforms(such as Facebook,Twitter,and Instagram)have consumed a large proportion of time in our daily *** tend to stay alive on their social media with recent updates,as it has become the primary source of interactionwithin social *** social media platforms offer several remarkable features but are simultaneously prone to various critical *** studies have revealed a strong correlation between the usage of social media and associated mental health issues consequently leading to depression,anxiety,suicide commitment,and mental disorder,particularly in the young adults who have excessively spent time on socialmedia which necessitates a thorough psychological analysis of all these *** study aims to exploit machine learning techniques for the classification of psychotic issues based on Facebook status *** this paper,we start with depression detection in the first instance and then expand on analyzing six other psychotic issues(e.g.,depression,anxiety,psychopathic deviate,hypochondria,unrealistic,and hypomania)commonly found in adults due to extreme use of social media *** classify the psychotic issues with the user’s mental state,we have employed different Machine Learning(ML)classifiers i.e.,Random Forest(RF),Support Vector Machine(SVM),Naïve Bayes(NB),and K-Nearest Neighbor(KNN).The used ML models are trained and tested by using different combinations of features selection *** observe themost suitable classifiers for psychotic issue classification,a cost-benefit function(sometimes termed as‘Suitability’)has been used which combines the accuracy of the model with its execution *** experimental evidence argues that RF outperforms its competitor classifiers with the unigram feature set.

关键词： Psychotic behaviors mental health socialmedia machine learning

Estimating Anthropometric Soft Biometrics:An Empirical Method

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Intelligent Automation & Soft Computing 2023年第9期37卷 2727-2743页

作者： Bilal hassan Hafiz Husnain Raza Sherazi mubashir Ali Yusra Siddiqi Engineering&Environment Northumbria UniversityLondon CampusLondonE17HTUK School of Computing and Engineering University of West LondonLondonW55RFUK School of Computer Science University of BirminghamBirminghamB152TTUK

Following the success of soft biometrics over traditional biomet-rics,anthropometric soft biometrics are emerging as candidate features for recognition or retrieval using an image/*** soft biometrics uses a quantitative mode of annotation which is a relatively better method for annotation than qualitative annotations adopted by traditional ***,one of the most challenging tasks is to achieve a higher level of accuracy while estimating anthropometric soft biometrics using an image or *** level of accuracy is usually affected by several contextual factors such as overlapping body components,an angle from the camera,and ambient *** and developing such a collection of anthropometric soft biometrics that are less sensitive to contextual factors and are relatively easy to estimate using an image or video is a potential research domain and it has a lot of value for improved recognition or *** this purpose,anthro-pometric soft biometrics,which are originally geometric measurements of the human body,can be computed with ease and higher accuracy using landmarks information from the human *** this end,several key contributions are made in this paper;i)summarizing a range of human body pose estimation tools used to localize dozens of different multi-modality landmarks from the human body,ii)a critical evaluation of the usefulness of anthropometric soft biometrics in recognition or retrieval tasks using state of the art in the field,iii)an investigation on several benchmark human body anthropometric datasets and their usefulness for the evaluation of any anthropometric soft biometric system,and iv)finally,a novel bag of anthropometric soft biomet-rics containing a list of anthropometrics is presented those are practically possible to measure from an image or *** the best of our knowledge,anthropometric soft biometrics are potential features for improved seamless recognition or retrieval in both constrained

关键词： Anthropometrics soft biometrics landmark localization estimation

A new framework for population balance modeling of spray fluidized bed agglomeration

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Particuology 2015年第2期13卷 141-154页

作者： mubashir Hussain Jitendra Kumar Evangelos Tsotsas Chair of Thermal Process Engineering Otto-von-Guericke University Magdeburg Department of Mathematics Indian Institute of Technology Kharagpur

Previous work （Hussain et al. （2013）. Chemical Engineering Science, 101, 35） has pointed out that the conventional, one-dimensional population balance equation for aggregation can be expanded to accurately reproduce the results of discrete simulations of spray fluidized bed agglomeration. However, some parameters had to be imported from the discrete simulation （Monte-Carlo）. The present paper shows how the expanded population balance can be run without importing parameters from the Monte-Carlo simulation. The expanded population balance still reproduces the results of Monte-Carlo simulations accurately, taking into account key micro-scale phenomena （sessile droplet drying, efficiency of collisions）, but with much lower computational cost. Required input parameters are just the drying time of sessile droplets （calculated in advance）, and the prefactor of an equation that correlates particle collision frequency with fluidized bed expansion. In this way, the expanded population balance is, apart from autonomous, also （nearly） predictive. Its performance is demonstrated by comparisons with both Monte-Carlo results and experimental data for various operating conditions （binder mass flow rate, gas temperature）. Despite formally being a one-dimensional expression, the expanded population balance captures additional properties, such as the number of wet particles and the number of droplets in the system, which are even difficult to measure in exoeriments.

关键词： Population balances Kinetics Aggregation Monte Carlo simulation Fluidized bed Modeling

Fractional Analysis of Thin Film Flow of Non-Newtonian Fluid

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Computer Modeling in Engineering & Sciences 2020年第9期124卷 825-845页

作者： Farnaz Ismail mubashir Qayyum Syed Inayat Ali Shah Department of Mathematics Islamia College UniversityPeshawarPakistan Department of Sciences and Humanities National University of Computer&Emerging Sciences FASTLahorePakistan

Modeling and analysis of thin film flow with respect to magneto hydro dynamical effect has been an important theme in the field of fluid dynamics,due to its vast industrial *** analysis involves studying the behavior and response of governing equations on the basis of various parameters such as thickness of the film,film surface profile,shear stress,liquid velocity,volumetric flux,vorticity,gravity,viscosity among others,along with different boundary *** this article,we extend this analysis in fractional space using a homotopy based scheme,considering the case of a Non-Newtonian Pseudo-Plastic fluid for lifting and drainage on a vertical *** applying similarity transformations,the given problems are reduced to highly non-linear and inhomogeneous ordinary differential ***,fractional differential equations are obtained using basic definitions of fractional *** Homotopy Perturbation Method(HPM),along with fractional calculus is used for obtaining approximate *** quantities such as the velocity profile,volume flux and average velocity respectively for lift and drainage cases have been *** the best of our knowledge,the given problems have not been attempted before in fractional *** and convergence of the obtained solutions are confirmed by finding residual *** a physical perspective,a comprehensive study of the effects of various parameters on the velocity profile is also *** reveals that Stokes number St,non-Newtonian parameterand magnetic parameter M have inverse relationship with fluid velocity in lifting *** the drainage case,Stokes number St and non-Newtonian parameterhave direct relationship with fluid velocity,but magnetic parameter M shows inverse relationship with *** investigation also shows that the fractional parameterhas direct relationship with the fluid velocity in lifting case,while it has inverse relationship with velocity in the

关键词： Pseudo-plastic fluid magneto hydro dynamic fractional differential equation homotopy perturbation method

Peristaltic Flow of Couple Stress Fluid in a Non-Uniform Rectangular Duct Having Compliant Walls

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Communications in Theoretical Physics 2016年第1期65卷 66-72页

作者： R.Ellahi M.mubashir Bhatti C.Fetecau K.Vafai Department of Mechanical Engineering University of California Riverside Riverside USA Department of Mathematics and Statistics FBAS IIUI Islamabad Pakistan Shanghai Institute of Applied Mathematics and Mechanics Shanghai University Shanghai 200444 China Department of Mathematics Technical University of Iasi Romania Academy of Romanian Scientists 050094 Bucuresti Romania

The present study investigates the peristaltic flow of couple stress fluid in a non-uniform rectangular duct with compliant *** modeling is based upon the laws of mass and linear *** solutions are carried out by the eigen function expansion method under long-wavelength and low-Reynolds number *** features of the flow characteristics are analyzed by plotting the graphs of various values of physical parameters of *** bolus scheme is also presented through streamlines.

关键词： peristaltic flow couple stress fluid compliant walls eigen function expansion method analyticalsolutions

An Efficient Method for Underwater Video Summarization and Object Detection Using YoLoV3

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Intelligent Automation & Soft Computing 2023年第2期35卷 1295-1310页

作者： mubashir Javaid Muazzam Maqsood Farhan Aadil Jibran Safdar Yongsung Kim Department of Computer Science UETTaxilaPakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttockPakistan Department of Technology Education Chungnam National UniversityDaejeon34134Korea

Currently,worldwide industries and communities are concerned with building,expanding,and exploring the assets and resources found in the oceans and *** precisely,to analyze a stock,archaeology,and surveillance,sev-eral cameras are installed underseas to collect ***,on the other hand,these large size videos require a lot of time and memory for their processing to extract relevant ***,to automate this manual procedure of video assessment,an accurate and efﬁcient automated system is a greater *** this perspective,we intend to present a complete framework solution for the task of video summarization and object detection in underwater *** employed a perceived motion energy(PME)method toﬁrst extract the keyframes followed by an object detection model approach namely YoloV3 to perform object detection in underwater *** issues of blurriness and low contrast in underwater images are also taken into account in the presented approach by applying the image enhancement ***,the suggested framework of underwater video summarization and object detection has been evaluated on a publicly available brackish *** is observed that the proposed framework shows good performance and hence ultimately assists several marine researchers or scientists related to theﬁeld of underwater archaeology,stock assessment,and surveillance.

关键词： Computer vision deep learning digital image processing underwater video analysis video summarization object detection YOLOV3