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Energy Theft Detection in Smart Grids with Genetic Algorithm-Based Feature Selection

Computers, Materials & Continua 2023年第3期74卷 5431-5446页

作者： muhammad umair Zafar Saeed Faisal Saeed Hiba Ishtiaq muhammad Zubair Hala Abdel Hameed Faculty of Information Technology University of Central PunjabLahore54590Pakistan DAAI Research Group Department of Computing and Data ScienceSchool of Computing and Digital TechnologyBirmingham City UniversityBirmingham B47XGUK Faculty of Computer and Information Systems Fayoum University63514Egypt Khaybar Applied College Taibah UniversitySaudi Arabia

As big data,its technologies,and application continue to advance,the Smart Grid(SG)has become one of the most successful pervasive and fixed computing platforms that efficiently uses a data-driven approach and employs efficient information and communication technology(ICT)and cloud *** a result of the complicated architecture of cloud computing,the distinctive working of advanced metering infrastructures(AMI),and the use of sensitive data,it has become challenging tomake the SG *** of the SG are categorized into two main categories,Technical Losses(TLs)and Non-Technical Losses(NTLs).Hardware failure,communication issues,ohmic losses,and energy burnout during transmission and propagation of energy are ***’s are human-induced errors for malicious purposes such as attacking sensitive data and electricity theft,along with tampering with AMI for bill reduction by fraudulent *** research proposes a data-driven methodology based on principles of computational intelligence as well as big data analysis to identify fraudulent customers based on their load *** our proposed methodology,a hybrid Genetic Algorithm and Support Vector Machine(GA-SVM)model has been used to extract the relevant subset of feature data from a large and unsupervised public smart grid project dataset in London,UK,for theft detection.A subset of 26 out of 71 features is obtained with a classification accuracy of 96.6%,compared to studies conducted on small and limited datasets.

关键词： Big data data analysis feature engineering genetic algorithm machine learning

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Multi-Objective Optimization of High Torque Density Segmented PM Consequent Pole Flux Switching Machine with Flux Bridge

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CES Transactions on Electrical Machines and Systems 2021年第1期5卷 30-40页

作者： Wasiq Ullah Faisal Khan muhammad umair Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad Campus22060Pakistan.

Due to double salient structure,Flux Switching Machines(FSMs)are preferred for brushless AC high speed *** Magnet(PM)FSMs(PM-FSMs)are suited applicants where high torque density(Tden)and power density(Pden)are the utmost *** conventional PM-FSMs utilizes excessive rare earth PM volume VPM,higher cogging torque Tcog,high torque ripples(Trip)and comparatively lower(Tden)and Pden due to flux *** overcome the aforesaid demerits,a new high(Tden)Segmented PM Consequent Pole(CP)FSM(SPMCPFSM)with flux bridge and barrier is proposed which successfully reduces VPM by 46.52%and PM cost by 46.48%.Moreover,Multi-Objective Optimization(MOO)examines electromagnetic performance due to variation in geometric parameters for global optimum parameters with key metric such as flux linkage(Φpp),flux harmonics(ΦTHD)average torque(Tavg),Tcog,Trip,Tden,average power(Pavg)and *** reveals that MOO improveΦpp by 22.68%,boost Tavg by 11.41%,enhanced Pavg by 4.55%and increased Tden and Pden by 11.41%.Detailed electromagnetic performance comparison with existing state of the art shows that proposed SPMCPFSM offer Tavg maximum up to 88.8%,truncate Trip up to 24.8%,suppress Tcog up to 22.74%,and results 2.45 times Tden and Pden.

关键词： Consequent Pole multi-objective optimization finite element analysis optimization segmented PM AC Machine.

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Modeling and Simulation of a Class of Piezoelectric Bimorph Cantilever Beams

Modeling and Simulation of a Class of Piezoelectric Bimorph ...

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作者： muhammad umair 山东大学

学位级别：硕士

压电材料是一种用于电-力转换的材料。当压电材料收到力或其他载荷时,将在压电材料表面产生电荷;而在压电材料表面施加电场时,压电材料将发生变形。并且压电陶瓷或压电驱动器因具有高响应速度和高精度等重要性能指标,所以在众多工业技... 详细信息

压电材料是一种用于电-力转换的材料。当压电材料收到力或其他载荷时,将在压电材料表面产生电荷;而在压电材料表面施加电场时,压电材料将发生变形。并且压电陶瓷或压电驱动器因具有高响应速度和高精度等重要性能指标,所以在众多工业技术产业中得到广泛应用。因同时具有以上特性,已在微机电系统、航空航天和智能系统得到广泛应用。为此,很多学者设计多种类型的压电驱动器,比如压电单晶驱动器、压电双晶驱动器、S型压电驱动器和热压电驱动器,而压电单晶梁由于其良好的定位能力、制备简单和成本低的特点得到广发关注。但压电单晶驱动器又因其基体层的存在,将阻止压电双晶梁的压电层变形,从而使压电单晶驱动器输出行程较小。为克服以上缺点,本文对一种由两层压电层构成的压电双晶驱动器进行研究。首先,采用压电材料的d31模式,对压电双晶驱动器的静力学弯曲进行研究。现存的压电梁或压电驱动器模型较多采用欧拉梁理论进行建模,但是当建压电驱动器参数发生变化时,压电驱动器的误差将随之发生变化,比如在压电驱动器的长度逐渐增加时,压电驱动器的理论计算值和仿真值的相对误差将逐渐增大,并在超过一定尺寸后,欧拉理论所建立的理论模型将不再准确。因此现存的欧拉理论在适用范围上存在局限性。所以本论文采用一种改进的MPFM(Modified Pin Force Model)理论建立压电双晶梁模型,用以描述压电双晶梁在力衡条件和边界条件约束下的压电梁性能。同时讨论不同压电双晶梁的长度和厚度对压电双晶驱动器弯曲性能的影响。其次,建立基于欧拉-伯努利理论的压电梁的动力学模型,并计算压电梁固有频率。然后,分析了压电双晶梁多个尺寸参数对其固有频率特性的影响。并利用ANSYS软件进行仿真,对压电双晶梁模型验证。并进一步将压电双晶梁输出挠度计算结果与ANSYS仿真结果进行比较,进而验证理论模型的正确性。最后,搭建压电双晶梁实验检测系统。通过在压电双晶梁两侧加载ANSYS软件相同的仿真参数条件,得到压电双晶梁的端部挠度参数,然后进行压电双晶梁数学模型理论计算值、ANSYS仿真值和实验检测系统实验值的对比。发现,所采用的MPFM(Modified Pin Force Model)理论建立压电双晶梁模型计算值与仿真值、实验值基本相符。最终得出以下结论,采用改进的MPFM理论建立的压电双晶梁理论方程可准确预测其不同电载荷下的弯曲特性。同时证明MPFM理论相比欧拉梁理论更加适合长压电梁或驱动器的建模。并且该方法简化了压电梁的分析方法的复杂程度,并具有一定的实际应用价值。

关键词：压电双晶梁压电驱动器弯曲 MPFM 有限元仿真

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Compatible Study of Hadoop for Efficient Analyzing and Processing of Big Data

Compatible Study of Hadoop for Efficient Analyzing and Proce...

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作者： Raza muhammad umair 西南科技大学

学位级别：硕士

在利用计算机的同时,数据不断产生和积累。导致的问题是在哪里保存这些数据?过去解决此问题,存储成本过大。然而,由于近来技术的发展,存储费用已减少。大数据是数据集的集合,而数据集的规模更大且涉及面更广,使用传统的数据库管理工具... 详细信息

在利用计算机的同时,数据不断产生和积累。导致的问题是在哪里保存这些数据?过去解决此问题,存储成本过大。然而,由于近来技术的发展,存储费用已减少。大数据是数据集的集合,而数据集的规模更大且涉及面更广,使用传统的数据库管理工具很难处理。同时,使用传统方法处理大量数据集非常耗时,因此,比传统方法更快,效率更高的Hadoop框架被广泛使用。主要目标是对不断产生的数据进行处理,效率更高,耗时更少,并且不用存储数据。数据主要分为三类:结构化数据、非结构化数据和半结构化数据。为了处理这些巨大的数据集,Hadoop中提供了不同类型的框架。我们主要关注Pig、Hive和Impala这三个不同的框架,围绕如何有效分析结构化数据集并减少结构化数据集的时间消耗展开系统研究。我们通过将三种Hadoop框架应用于两个不同的数据集进行实验比较,检查数据处理效率。具体来说,我们在Hive,Pig和Impala上执行类似的任务并完成实验结果评测。结果表明,Impala比Hive和Pig效率更高,因为执行任务所需的时间更少。

关键词： Apache Hadoop Hive Pig Impala 大数据技术

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Design and Optimization of Segmented PM Consequent Pole Hybrid Excited Flux Switching Machine for EV/HEV Application

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CES Transactions on Electrical Machines and Systems 2020年第3期4卷 206-214页

作者： Wasiq Ullah Faisal Khan muhammad umair Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad Campus22060Pakistan

Hybrid Excited Flux Switching Machines(HEFSMs)unique feature of high torque density(T_(den))of Permanent Magnet(PM)machines and flux regulation capability of wound field excitation *** to aforesaid unique features,stator active HEFSMs are preferred for EV/HEV *** this paper a new Segmented PM Consequent Pole HE-FSM(SPMCPHEFSM)with flux bridge is proposed for EV/*** developed SPMCPHEFSM exhibits improved flux modulation and flux regulation capability at reduced PM usage(suppressed PM volume by 46.52%and PM cost by 46.48%)and eliminating stator leakage ***,SPMCPHEFSM is geometric optimized(GO)for investigating influence of leading design with key performance indicators such as flux linkage(Ф_(pp)),average torque(T_(avg)),cogging torque(T_(cog)),T_(den),average power(P_(avg))and power density(P_(den))and then proceeded optimized model to structure modification for optimal stator design and position of field excitation coils(FEC).Comprehensive performance analysis reveals that the developed SPMCPHEFSM show improvedФ_(pp)maximum up to 9.11%,improved T_(avg)maximum up to 23.63%,truncate T_(cog)up to 18.9%whereas T_(den)and P_(den)are boost up to 23.55%and 89.72%respectively.

关键词： Electric Vehicle Hybrid Electric Vehicle Consequent Pole Finite Element Analysis Optimization Segmented PM

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Viséan Fossil Plants from the Jiujialu Formation in Central Guizhou Province: Implications for Age of Bauxite and Palaeoenvironment

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Acta Geologica Sinica(English Edition) 2020年第6期94卷 2165-2177页

作者： LUO Chaokun YANG Ruidong GAO Junbo muhammad umair WANG Longbo GAO Lei College of Resources and Environmental Engineering Guizhou UniversityGuiyang 550025China Key Laboratory of Karst Georesources and Environment Ministry of EducationGuizhou UniversityGuiyang 550025China

Fossil plants from the carbonaceous shale of upper part of the Lower Carboniferous Jiujialu Formation in Lindai bauxite deposit fill a gap regarding the distribution of Early Carboniferous flora in Central Guizhou *** the Lindai plant assemblage is systematically described,and its composition and geological age are *** demonstrates that 9 species in 6 genera of the fossil plants are discovered in this study,and they belong to lycopsids,sphenopsids and ferns,*** on the analysis of the floral composition,the geological age of the Lindai plant assemblage belongs to the Early Carboniferous Visé*** discovery of Lindai plant assemblage not only provides a new fossil evidence to restrict the age of bauxite deposits in Lower Carboniferous Jiujialu Formation of Central Guizhou Province,but also has great significance to further research the palaeoecological setting and floral evolution during the Early Carboniferous.

关键词： fossil plant palaeoecology Viséan Jiujialu Formation Bauxite deposit

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An Efficient Internet Traffic Classification System Using Deep Learning for IoT

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Computers, Materials & Continua 2022年第4期71卷 407-422页

作者： muhammad Basit umair Zeshan Iqbal muhammad Bilal Jamel Nebhen Tarik Adnan Almohamad Raja Majid Mehmood Department of Computer Science University of Engineering and TechnologyTaxila47050Pakistan Division of Computer and Electronics Systems Engineering Hankuk University of Foreign StudiesYongin-siKorea Electrical-Electronics Engineering Department Faculty of EngineeringKarabük University78050KarabükTurkey Prince Sattam bin Abdulaziz University College of Computer Engineering and SciencesAlkharj11942Saudi Arabia Information and Communication Technology Department School of Electrical and Computer EngineeringXiamen University MalaysiaSepang43900Malaysia

Internet of Things(IoT)defines a network of devices connected to the internet and sharing a massive amount of data between each other and a central *** IoT devices are connected to a network therefore prone to *** management tasks and network operations such as security,intrusion detection,Quality-of-Service provisioning,performance monitoring,resource provisioning,and traffic engineering require traffic *** to the ineffectiveness of traditional classification schemes,such as port-based and payload-based methods,researchers proposed machine learning-based traffic classification systems based on shallow neural ***,machine learning-based models incline to misclassify internet traffic due to improper feature *** this research,an efficient multilayer deep learning based classification system is presented to overcome these challenges that can classify internet *** examine the performance of the proposed technique,Moore-dataset is used for training the *** proposed scheme takes the pre-processed data and extracts the flow features using a deep neural network(DNN).In particular,the maximum entropy classifier is used to classify the internet *** experimental results show that the proposed hybrid deep learning algorithm is effective and achieved high accuracy for internet traffic classification,i.e.,99.23%.Furthermore,the proposed algorithm achieved the highest accuracy compared to the support vector machine(SVM)based classification technique and k-nearest neighbours(KNNs)based classification technique.

关键词： Deep learning internet traffic classification network traffic management QoS aware application classification

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Coronavirus: A “Mild” Virus Turned Deadly Infection

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Computers, Materials & Continua 2021年第5期67卷 2631-2646页

作者： Rizwan Ali Naqvi muhammad Faheem Mushtaq Natash Ali Mian muhammad Adnan Khan Atta-ur-Rahman muhammad Ali Yousaf muhammad umair Rizwan Majeed Department of Unmanned Vehicle Engineering Sejong UniversitySeoul05006Korea Department of Information Technology Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan School of Computer and Information Technology Beaconhouse National UniversityTarogilLahore53700Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Faculty of Information Technology University of Central PunjabLahore54782Pakistan Directorate of IT The Islamia University of BahawalpurBahawalpur63100Pakistan

Coronaviruses are a family of viruses that can be transmitted from one person to *** strains have only been mild viruses,but the current form,known as coronavirus disease 2019(COVID-19),has become a deadly *** outbreak originated in Wuhan,China,and has since spread *** symptoms of COVID-19 include a dry cough,sore throat,fever,and nasal *** drugs,pathogen–host interaction,and 2 weeks of isolation have been recommended for the treatment of the *** operating procedures,such as the use of face masks,hand sanitizer,handwashing with soap,and social distancing,are also ***,travel bans for cities,states,and countries have been put in place,along with lockdowns to control the *** restrictions,mask use,sanitizer or soap use,and avoidance of touching the face and nose have produced encouraging results,whereas the effectiveness of antibiotics has not been *** results of isolation for the recovery of infected people have also been *** bans and lockdowns have caused a slump in economies,and unemployment has risen sharply,resulting in an increase in mental health cases *** date,vaccines have been developed and are in use in certain countries,but following standard operating procedures remain *** countries following the guidelines can eradicate this *** Zealand was the rst country to eliminate the virus from their territory.

关键词： Coronavirus severe acute respiratory syndrome middle east respiratory syndrome world health organization

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Effects of Bacillus Calmette-Guerin on immunometabolism,microbiome and liver diseases

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Liver Research 2023年第2期7卷 116-123页

作者： muhammad umair Ijaz Farzam Vaziri Yu-Jui Yvonne Wan Department of Medical Pathology and Laboratory Medicine University of California Davis School of MedicineSacramentoCAUSA

Metabolic diseases have overtaken infectious diseases as the most serious public health issue and economic burden in most ***,metabolic diseases increase the risk of having infectious *** treatment of metabolic disease may require a long-term strategy of taking multiple medications,which can be costly and have side *** to expand the therapeutic use of vaccination to prevent or treat metabolic diseases have attracted significant interest.A growing body of evidence indicates that Bacillus Calmette-Guerin(BCG)offers protection against non-infectious *** non-specific effects of BCG occur likely due to the induction of trained *** this regard,understanding how BCG influences the development of chronic metabolic health including liver diseases would be *** review focuses on research on BCG,the constellation of disorders associated with metabolic health issues including liver diseases and diabetes as well as how BCG affects the gut microbiome,immunity,and metabolism.

关键词： Bacillus Calmette-Guerin(BCG) Liver disease Vaccination Gut microbiota Metabolic diseases Trained immunity Diabetes

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Tactile and temperature sensors based on organic transistors:Towards e-skin fabrication

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Frontiers of physics 2021年第1期16卷 43-55页

作者： Miao Zhu muhammad umair Ali Changwei Zou Wei Xie Songquan Li Hong Meng School of Physical Science and Technology Lingnan Normal UniversityZhanjiang 524048China Department of Materials Science and Engineering College of EngineeringPeking UniversityBeijing 100871China School of Advanced Materials Peking University Shenzhen Graduate SchoolPeking UniversityShenzhen 518055China

Tactile and temperature sensors are the key components for e-skin *** transistors,a kind of intrinsic logic devices with diverse internal configurations,offer a wide range of options for sensor design and have played a vital role in the fabrication of e-skin-oriented tactile and temperature *** research field has attained tremendous advancements,both in terms of materials design and device architecture,thereby leading to excellent performance of resulting tactile/temperature ***,a systematic review of organic transistor-based tactile and temperature sensors is presented to summarize the latest progress in these ***,we focus on spotlighting various device structures,underlying mechanisms and their ***,an outlook for the future development of these devices is briefly *** anticipate that this review will provide a quick overview of such a rapidly emerging research direction and attract more dedicated efforts for the development of next-generation sensing devices towards e-skin fabrication.

关键词： tactile sensor temperature sensor flexible e-skin organic transistor

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