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Intelligent Islanding Detection of Multi-distributed Generation Using Artificial Neural Network Based on Intrinsic Mode Function Feature

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Journal of Modern Power Systems and Clean Energy 2020年第3期8卷 511-520页

作者： Samuel Admasie syed basit ali bukhari Teke Gush Raza Haider Chul Hwan Kim Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwonSouth Korea U.S.-Pakistan Center for Advanced Studies in Energy(USPCAS-E) National University of Sciences and Technology(NUST)H-12 IslamabadPakistan Department of Electrical Engineering Balochistan University of Engineering and TechnologyKhuzdar 89100Pakistan

The integration of distributed energy resources(DERs) into distribution networks is becoming increasingly important, as it supports the continued adoption of renewable power generation, combined heat and power plants, and storage systems. Nevertheless, inadvertent islanding operation is one of the major protection issues in distribution networks connected to DERs. This study proposes an intelligent islanding detection method(IIDM) using an intrinsic mode function(IMF)feature-based grey wolf optimized artificial neural network(GWO-ANN). In the proposed IIDM, the modal voltage signal is pre-processed by variational mode decomposition followed by Hilbert transform on each IMF to derive highly involved features. Then, the energy and standard deviation of IMFs are employed to train/test the GWO-ANN model for identifying the islanding operations from other non-islanding events. To evaluate the performance of the proposed IIDM, various islanding and non-islanding conditions such as faults, voltage sag, linear and nonlinear load and switching, are considered as the training and testing datasets. Moreover, the proposed IIDM is evaluated under noise conditions for the measured voltage signal. The simulation results demonstrate that the proposed IIDM is capable of differentiating between islanding and non-islanding events without any sensitivity under noise conditions in the test signal.

关键词： Distributed energy resource(DER) intrinsic mode function(IMF) grey wolf optimized artificial neural network(GWO-ANN) intelligent islanding detection method(IIDM) microgrid

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基于深度卷积神经网络的两阶段肺结节检测

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计算机工程与设计 2021年第3期42卷 755-761页

作者：韩鹏强彦刘继华贾婧 syed basit ali Shah bukhari 太原理工大学信息与计算机学院山西晋中030600 吕梁学院计算机科学与技术学院山西吕梁033000

针对传统肺结节检测中存在灵敏度低、假阳性高、小结节难检测的问题,提出一种基于深度卷积神经网络的两阶段肺结节检测框架。第一阶段使用特征金字塔子网提取肺部影像的多层次特征,引入多尺度区域建议子网用于在高灵敏度下检测出所有的... 详细信息

针对传统肺结节检测中存在灵敏度低、假阳性高、小结节难检测的问题,提出一种基于深度卷积神经网络的两阶段肺结节检测框架。第一阶段使用特征金字塔子网提取肺部影像的多层次特征,引入多尺度区域建议子网用于在高灵敏度下检测出所有的候选结节;第二阶段设计级联卷积神经网络模型减少假阳性,通过保留分类错误样本用于重新训练模型,将多个模型结果进行投票选出最终分类结果。LUNA16数据集上的实验结果表明,所提框架灵敏度达到95.9%,检测效果优于其它算法,能够有效实现肺结节的准确检测。

关键词：候选结节检测特征金字塔子网多尺度区域建议子网假阳性减少级联卷积神经网络

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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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An asymmetrical multilevel inverter with minimum voltage stress and fewer components for photovoltaic renewable-energy system

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Clean Energy 2024年第1期8卷 1-22页

作者： Rabail Memon Mukhtiar Ahmed Mahar Abdul Sattar Larik syed Asif ali shah Department of Electrical Engineering Mehran University of Engineering and TechnologyJamshoroPakistan

The enhanced power quality provided by multilevel inverters(MLIs)has made them more appropriate for medium-and high-power applications,including photovoltaic ***,a prevalent limitation involves the necessity for numerous switches and increased voltage stress across these switches,consequently increasing the overall system *** address these challenges,a new 17-level asymmetrical MLI with fewer components and low voltage stress is proposed for the photovoltaic *** innovative MLI configuration has four direct current(DC)sources and 10 *** on the trinary sequence,the proposed topology uses photovoltaics with boost converters and fuzzy logic controllers as its DC *** equations are used to calculate cru-cial parameters for this proposed design,including total standing voltage per unit(TSVPU),cost function per level(CF/L),component count per level(CC/L)and voltage stress across the *** comparison is conducted by considering switches,DC sources,TSVPU,CF/L,gate driver circuits and CC/L with other existing MLI *** analysis is carried out under various conditions,encompassing different levels of irradiance,variable loads and modulation *** reduce the total harmonic distortion of the suggested topology,the phase opposition disposition approach has been *** suggested framework is simulated in MATLAB®/Simulink®.The results indicate that the proposed topology achieves a well-distributed stress profile across the switches and has CC/L of 1.23,TSVPU of 5 and CF/L of 4.58 and 5.76 with weight coefficients of 0.5 and 1.5,*** values are not-ably superior to those of existing MLI *** results demonstrate that the proposed topology maintains a consistent output at varying irradiance levels with FLCs and exhibits robust performance under variable loads and diverse modulation ***,the total harmonic distortion achieved with phase opposition disposi

关键词： asymmetrical multilevel inverter photovoltaic system renewable energy component count per level cost function per level total standing voltage per unit phase opposition disposition technique

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Testing the LCC hypothesis by considering environmental sustainability and economic development:Role of green energy and resource management

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Geoscience Frontiers 2024年第3期15卷 419-430页

作者： Sunil Tiwari syed ali Raza Shiv Kumar Gupta Irum Shahzadi Mahendra Babu Kuruva Department of Tourism Studies School of Business StudiesCentral University of KeralaIndia Department of Business Administration IQRA UniversityKarachi 75300Pakistan Centre for Mountain Tourism and Hospitality Studies HNB Garhwal Central UniversitySrinagarUttarakhand 246174India Department of Production Engineering São Paulo State University(UNESP)BauruBrazil Department of Business Administration IQRA University Karachi-75300Pakistan Department of Business Management HNB Garhwal Central UniversitySrinagar GarhwalUttarakhand 246174India

This study aims to demystify the role of green energy and green technology in establishing the nexus between behavioural intentions of tourists,technologies,and digital payments by using Perceived value(PV),Compatibility(CO),Perceived Enjoyment(PE),and Social Influence(SI)as a predictor variables,Trust(TR)and Satisfaction(SA)as a mediating variables and Behavioural Intentions(BI)as an outcome *** the empirical estimation,we employ smart PLS-SEM,TAM(Technology Acceptance Model)and SPSS and Tested the LCC *** findings suggest that green energy and perceived value have the highest positive impact on tourists’trust towards digital payments followed by compatibility,social influence and perceived ***,tourists’satisfaction and green technology is one of the important determinants of choosing any digital mode of payment,is mostly influence by perceived value,perceived enjoyment,compatibility and social ***,if we choose between trust and satisfaction,trust plays a significant role in exploring the behavioural intentions of tourists about green energy and green technology followed by tourists’*** addition,Tourists’trust and satisfaction are highly correlated and influence each *** study offers novel policy implications in terms of use of green technology and green energy in enhancing trust and satisfaction of tourists in order to deeper understanding of different dimensions of digital payments and M-wallets,and allowing them to explore the long-term value inherent of digital payments and M-wallets.

关键词： Digital payment Green technology Green energy Tourism LCC hypothesis

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AI-Driven Energy Optimization in UAV-Assisted Routing for Enhanced Wireless Sensor Networks Performance

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Computers, Materials & Continua 2024年第9期80卷 4085-4110页

作者： syed Kamran Haider Abbas Ahmed Noman Mujeeb Khan ali Nauman Sung Won Kim College of Internet of Things(IoT)Engineering Hohai UniversityChangzhou213001China Department of Electrical and Electronics Engineering Beaconhouse International CollegeIslamabad44000Pakistan School of Computer Science and Engineering Yeungnam UniversityGyeongsan38428Republic of Korea

In recent advancements within wireless sensor networks(WSN),the deployment of unmanned aerial vehicles(UAVs)has emerged as a groundbreaking strategy for enhancing routing efficiency and overall network *** research introduces a sophisticated framework,driven by computational intelligence,that merges clustering techniques with UAV mobility to refine routing strategies in *** proposed approach divides the sensor field into distinct sectors and implements a novel weighting system for the selection of cluster heads(CHs).This system is primarily aimed at reducing energy consumption through meticulously planned routing and path *** a greedy algorithm for inter-cluster dialogue,our framework orchestrates CHs into an efficient communication *** comparative analysis,the proposed model demonstrates a marked improvement over traditional methods such as the cluster chain mobile agent routing(CCMAR)and the energy-efficient cluster-based dynamic algorithms(ECCRA).Specifically,it showcases an impressive 15%increase in energy conservation and a 20%reduction in data transmission time,highlighting its advanced ***,this paper investigates the impact of various network parameters on the efficiency and robustness of the WSN,emphasizing the vital role of sophisticated computational strategies in optimizing network operations.

关键词： UAV trajectory clustering next-generation wireless sensor network(NGWSN) energy efficiency mobile sink

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Linking gold prices,fossil fuel costs and energy consumption to assess progress towards sustainable development goals in newly industrialized countries

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Geoscience Frontiers 2024年第3期15卷 447-457页

作者： Muhammad Farhan Bashir Muhammad Adnan Bashir syed ali Raza Yuriy Bilan LászlóVasa College of Management Shenzhen UniversityShenzhen518060GuangdongPR China Huangpu Institute Guangdong University of Foreign StudiesGuangzhouGuangdongChina Department of Business Administration IQRA University Karachi-75300Pakistan Adnan Kassar School of Business Lebanese American UniversityBeirutLebanon Faculty of Management Rzeszow University of Technologyal.Powstanców Warszawy 1235-959 RzeszówPoland Faculty of Economics Széchenyi Istvàn UniversityHungary

The continuous rise in global environmental challenges has led to urgency toward establishing a secure framework to achieve sustainable development *** study establishes a novel theoretical framework to analyze the role of energy prices,energy consumption,gold prices and economic growth on environmental degradation in newly industrialized *** realize sustainable development goals and foster environmental defence,this study utilizes CS-ARDL as the main econometric approach to investigate the asymmetric association between environmental degradation and relevant *** also use AMG,CS-DL,Driscoll-Kray and FGLS to enhance the robustness of our *** econometric approach reveals that energy resource prices and renewable energy consumption reduce environmental degradation,while gold prices and fossil energy consumption elevate environmental *** also confirm the existence of the EKC *** findings of our extensive analysis paved the way for a welldesigned environmental policy for NIC economies should focus on renewable energy consumption,green investments,and structural changes.

关键词： Gold prices Fossil fuel costs Renewable Energy Consumption Environmental degradation Newly industrialized countries COP27

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Analysis of travelling wave solutions of double dispersive sharma-Tasso-Olver equation

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Journal of Ocean Engineering and Science 2024年第5期9卷 461-474页

作者： Kamruzzaman Khan Henk Koppelaar M.ali Akbar syed Tauseef Mohyud-Din Department of Mathematics Pabna University of Science and TechnologyPabna 6600Bangladesh Fac.of Electrical Eng. Mathematics and Comp.ScienceUniversity of DelftNetherlands Department of Applied Mathematics University of RajshahiRajshahi 6205Bangladesh Department of Mathematics HITEC University Taxila CanttPakistan School of Science and Technology University of New EnglandArmidaleNSW 2351Australia

Travelling wave solutions have been played a vital role in demonstrating the wave character of nonlinear problems arising in the field of ocean engineering and *** describe the propagation of the nonlinear wave phenomenon in the ocean(for example,wind waves,tsunami waves),a variety of evolution equations have been suggested and investigated in the existing *** paper studies the dynamic of travelling periodic and solitary wave behavior of a double-dispersive non-linear evolution equation,named the Sharma-Tasso-Olver(STO)*** evolution equations with double dispersion enable us to describe nonlinear wave propagation in the ocean,hyperplastic rods and other mediums in the field of science and *** analyze the wave solutions of this model using a combination of numerical simulations and Ansatz *** analysis shows that the travelling wave solutions involve a range of parameters that displays important and very interesting properties of the wave *** relevance of the parameters in the travelling wave solutions is also *** simulating numerically,we demonstrate how parameters in the solutions influence the phase speed as well as the travelling and solitary ***,we discuss instantaneous streamline patterns among the obtained solutions to explore the local direction of the components of the obtained solitary wave solutions at each point in the coordinate(x,t).

关键词： Travelling wave Solitary wave Streamline Enhanced(G'/G)-expansion method STO equation

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The dark side of cyclooctatetraene(COT):Photophysics in the singlet states of“self-healing”dyes

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Chinese Chemical Letters 2024年第8期35卷 225-228页

作者： Supphachok Chanmungkalakul syed ali Abbas Abedi Federico J.Hernández Jianwei Xu Xiaogang Liu Fluorescence Research Group Singapore University of Technology and DesignSingapore 487372Singapore Department of Chemistry University College LondonLondon WC1H 0AJUnited Kingdom Institute of Sustainability for Chemicals Energy and Environment(ISCE2)Agency for ScienceTechnology and Research(A^(∗)STAR)Jurong Island 627833Singapore

Cyclooctatetraene(COT)attachment to fluorophores(“self-healing”dyes)is known for quenching reac-tive triplet states via triplet-state energy transfer(TET),enhancing ***,COT’s impact on singlet states remains *** calculations reveal that COT induces energy transfer to dark states in deep blue dyes while promoting photoinduced electron transfer(PET)and intersystem crossing(ISC)in visible dyes,potentially compromising brightness and/or *** address this,we pro-pose the use of △E descriptor to optimize COT’s *** findings uncover COT’s multifaceted *** insights will guide the development of superior triplet state quenchers and photostable dyes.

关键词： Cyclooctatetraene Photostability Triplet state quencher Energy transfer Electron transfer

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Classification and Comprehension of Software Requirements Using Ensemble Learning

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Computers, Materials & Continua 2024年第8期80卷 2839-2855页

作者： Jalil Abbas Arshad Ahmad syed Muqsit Shaheed Rubia Fatima Sajid Shah Mohammad Elaffendi Gauhar ali School of Computer Science and Technology Anhui UniversityHefei230039China School of Computing Sciences Pak Austria FachhochschuleInstitute of Applied Sciences and TechnologyHaripur22620Pakistan Department of Computer Science and IT University of LahoreLahore55150Pakistan Department of Computer Science Emerson UniversityPunjabMultan60000Pakistan EIAS(Emerging Intelligent Autonomous Systems)Data Science Lab Prince Sultan UniversityRiyad12435Saudi Arabia

The software development process mostly depends on accurately identifying both essential and optional ***,user needs are typically expressed in free-form language,requiring significant time and human resources to translate these into clear functional and non-functional *** address this challenge,various machine learning(ML)methods have been explored to automate the understanding of these requirements,aiming to reduce time and human ***,existing techniques often struggle with complex instructions and large-scale *** our study,we introduce an innovative approach known as the Functional and Non-functional Requirements Classifier(FNRC).By combining the traditional random forest algorithm with the Accuracy Sliding Window(ASW)technique,we develop optimal sub-ensembles that surpass the initial classifier’s accuracy while using fewer *** results demonstrate that our FNRC methodology performs robustly across different datasets,achieving a balanced Precision of 75%on the PROMISE dataset and an impressive Recall of 85%on the CCHIT *** datasets consistently maintain an F-measure around 64%,highlighting FNRC’s ability to effectively balance precision and recall in diverse *** findings contribute to more accurate and efficient software development processes,increasing the probability of achieving successful project outcomes.

关键词： Ensemble learning machine learning non-functional requirements requirement engineering accuracy sliding window

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