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Sustainable Energy and Future Electric Transportation (SEFET), International Conference on

作者： Sareddy Venkata Rami Reddy T. R. Premila Ch. Rami Reddy Electrical and Electronics Engineering Vels Institute of Science Technology & Advanced Studies Chennai India Electrical and Electronics Engineering Joginpally B R Engineering College Hyderabad India

Renewable energy integration into the grid is growing in everyday life for meeting the universal energy consumption demand. The main difficulty with the integration of Distributed Generation to the main grid is unintentional islanding. It may affect the field persons and equipment involved with it. As per the DG integration criteria, the islanding must be recognized in less than 2 seconds. This paper has, a new passive islanding detection method has been recommended for detecting unintentional islanding using variations in the DC link voltage. The planned technique detects and classifies the non-islanding cases from islanding events when the changes in DC link voltage are more than a predefined threshold value. The simulation outcomes in Matlab/Simulink show the effectiveness of the recommended method at zero power mismatch balanced islanding.

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Strong enhancement of spin-orbit torques in ferrimagnetic Ptx(Si3N4)1–x/CoTb bilayers by Si3N4 doping

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Physical Review B 2022年第14期106卷 L140407-L140407页

作者： Xin Lin Jingwei Li Lujun Zhu Xinyue Xie Qianbiao Liu Dahai Wei Guodong Yuan Lijun Zhu State Key Laboratory of Superlattices and Microstructures Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing 100049 China Multi-scale Porous Materials Center Institute of Advanced Interdisciplinary Studies and School of Chemistry and Chemical Engineering Chongqing University Chongqing 400044 China College of Physics and Information Technology Shaanxi Normal University Xi'an 710062 China

We report strong enhancement of spin-orbit torques by incorporating Si3N4 impurities into the dirty metal Pt. We find that the Si3N4 impurities lower the spin Hall conductivity and the charge conductivity of the Pt host at different rates, leading to a twofold increase in the dampinglike spin-orbit torque per unit current density for ferrimagnetic Ptx(Si3N4)1–x/Co0.65Tb0.35 bilayers. This torque enhancement is attributed to the optimized trade-off between the intrinsic spin Hall conductivity and the spin carrier lifetime in the dirty limit. We also find that only 58% of the angular momentum of the spin current entering the ferrimagnetic Co0.65Tb0.35 relaxes via exchange interaction and thus makes a contribution to spin torque generation. This work establishes Pt0.7(Si3N4)0.3 with a high spin Hall ratio of 0.8 and a high charge conductivity of 1.2×106Ω−1m−1 as a compelling spin Hall metal for spin-orbitronics. This work also reaffirms the variation of the spin-orbit torque with relative spin relaxation rates within the magnetic layer.

关键词： Bilayers Spin Hall effect Spin-orbit torque Ferrimagnets

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Application of Machine Learning and Internet of Things for Identification of Nutrient Deficiencies in Oil Palm 5

Application of Machine Learning and Internet of Things for I...

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5th International Conference on Contemporary Computing and Informatics, IC3I 2022

作者： Mahendran, Radha Tadiboina, Sai Nitisha Sai Thrinath, B.V. Gadgil, Aashish Madem, Srinu Srivastava, Yashi Vels Institute of Science Technology and Advanced Studies Chennai India GEICO United States Mohan Babu University Sree Vidyanikethan Engineering College Department of EEE Tirupati India KLS Gogte Institute of Technology Karnataka India Vignan's Institute of Information Technology Andhra Pradesh India Central University of Punjab Bhatinda India

ISBN: (纸本)9798350398267

Several products derived from oil palm trees are sold commercially, bringing in money for the country and the people that live there. Because of this, the land available for oil palm seed plantations will grow, which will help maintain a steady supply of high-quality oil despite the expanding population. Also, rapid increases in oil palm tree planting, especially when cultivation is out of control, lead to degradation. Because of soil erosion, soil nutrients may be lost as a result of the degradation. The growth of an oil palm tree, as well as the quality of its yields, could be stunted by a deficiency in the macronutrients (N, Mg P, K). A decrease in yield may arise from using the tried-and-true method of detecting macronutrients;this is because this method is prone to error. The current system has only provided limited dataset information and a sluggish classification performance because of its limited features. The Internet of Things (IoT) enables efficient and seamless use of data regarding oil palm tree development and fertilizer control. The environmental elements affecting the growth of young oil palm trees include temperature, nutrients, humidity, light, and soil moisture content;the conceptual framework includes deep learning, IoT technologies, machine learning and image processing. As a result, it is recommended that machine learning, the Internet of Things (IoT), and deep learning be studied for detecting the nutritional deficiencies of oil palm trees. © 2022 IEEE.

关键词： Nutrients

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Guardians of Truth: Exploring Techniques for Veracity Identification in social media during an Infodemic

Guardians of Truth: Exploring Techniques for Veracity Identi...

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Artificial Intelligence For Internet of Things (AIIoT), International Conference on

作者： P. Suthanthiradevi G Revathy P Sathish Kumar B Karthikeyan Lakshmi.V Muthu Data Science and Business Systems School of Computing SRM institute of Science and Technology India Department of Computer science and engineering Vels Institute of science Technology and Advanced studies India Computer and Communication Engineering Rajalakshmi institute of technology India School of Computing SASTRA Deemed University India Department of Computer Science and Engineering St. Joseph’s Institute of Technology India

ISBN: (数字)9798350372120

ISBN: (纸本)9798350372137

With the recent advent of technology, social networks are accessible 24/7 using mobile devices. During covid-19 pandemic the propagation of misinformation are mostly related to the disease, its cures and prevention. With Twitter as the medium this information was spreaded to millions of people who lack domain specific knowledge. This can lead to bloster fear and direct damage to the people. This research focuses on identifying the veracity of the Twitter posts behind pandemic situation. The authors have proposed a Transformer Model using Bat Algorithm for identifying the fake news. This model is trained and evaluated using infodemic metadata. Our experimental results shows by which proposed model accurately detected the fake news and achieved 96.5% of f1-score.

关键词： COVID-19 Social networking (online) Pandemics Blogs Predictive models Transformers Prediction algorithms

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Comparison of PI and FLC for Sepic and Buck Boost Converter Based Photovoltaic Systems

Comparison of PI and FLC for Sepic and Buck Boost Converter ...

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International Conference on Computation System and Information technology for Sustainable Solutions (CSITSS)

Most solar cell panels may work in a maximum power point tracking (MPPT) method voltage continuous method in this meantime, Energy transmission between load and storage battery is bidirectional. So, intended for the sake of improving energy use trendy solar system, the Regulator method manufacture the arrangement able to change from one functioning manner toward additional effortlessly then inevitably is anticipated in the research. Built on a stability study, the closed-loop constraints remain premeditated towards all modes of suitable operation methods. The stability analysis and control strategy depend on the non-linear technique in the closed-loop proposal is tested by research outcomes.

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Chemical characteristics and sources apportionment of volatile organic compounds in the primary urban area of Shijiazhuang,North China Plain

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Journal of Environmental Sciences 2025年第3期149卷 465-475页

作者： Xiao Zhang Junfeng Wang Jiangwei Zhao Junliang He Yali Lei Kai Meng RuiWei Xue Zhang Miaomiao Zhang Shuangying Ni Eleonora Aruffo College of geographical sciences and Environment Shijiazhuang UniversityShijiazhuang 050035China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science and TechnologyNanjing 210044China Hebei Province Ecology Environmental Monitoring Center Shijiazhuang 050037China Key Lab of Geographic Information Science of the Ministry of Education School of Geographic SciencesEast China Normal UniversityShanghai 200241China Hebei Provincial Institute of Meteorological Sciences Shijiazhuang 050021China Key Laboratory of Meteorology and Ecological Environment of Hebei Province Shijiazhuang 050021China Hebei Provincial Academy of Ecological Environmental Science Shijiazhuang 050037China Department of Advanced Technologies in Medicine&Dentistry University“G.d’Annunzio”of Chieti-PescaraChieti 66100Italy Center for Advanced Studies and Technology-CAST Chieti 66100Italy

VOCs(Volatile organic compounds)exert a vital role in ozone and secondary organic aerosol production,necessitating investigations into their concentration,chemical characteristics,and source apportionment for the effective implementation of measures aimed at preventing and controlling atmospheric *** to October 2020,onlinemonitoringwas conducted in the main urban area of Shijiazhuang to collect data on VOCs and analyze their concentrations and ***,the PMF(positive matrix factorization)method was utilized to identify the VOCs *** indicated that the TVOCs(total VOCs)concentration was(96.7±63.4μg/m^3),with alkanes exhibiting the highest concentration of(36.1±26.4μg/m^3),followed by OVOCs(16.4±14.4μg/m^3).The key active components were alkenes and aromatics,among which xylene,propylene,toluene,propionaldehyde,acetaldehyde,ethylene,and styrene played crucial roles as reactive *** sources derived from PMF analysis encompassed vehicle emissions,solvent and coating sources,combustion sources,industrial emissions sources,as well as plant sources,the contribution of which were 37.80%,27.93%,16.57%,15.24%,and 2.46%,***,reducing vehicular exhaust emissions and encouraging neighboring industries to adopt low-volatile organic solvents and coatings should be prioritized to mitigate VOCs levels.

关键词： Volatile organic compounds Pollution characteristics Ozone formation potential OH radical loss rate Source apportionment

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Investigating Blockchain Security Mechanisms for Tamper-Proof Data Storage 2

Investigating Blockchain Security Mechanisms for Tamper-Proo...

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2nd IEEE International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023

作者： Thilakavathy, P. Jayachitra, S. Aeron, Anurag Kumar, Narendra Ali, Syed Sumera Malathy, M. Computer Science and Engineering Vels Institute of Science Technology and Advanced Studies Chennai India Psna College of Engineering and Technology Department of Ece Tamilnadu Dindigul India School of Computing Dit University Dehradun Computer Science and Engineering India Amity University Department of Computer Science and Engineering Jharkhand Ranchi India Csmss Chh Shahu College of Engineering Electronics and Computer Engineering Department Maharashtra Aurangabad India Vel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College Department of Computer Science and Engineering Chennai Avadi India

ISBN: (纸本)9798350369960

Across a wide range of sectors, blockchain technology has emerged as a game-changing option for secure data storage. This research dives into the mechanisms that enable blockchain to protect data integrity and immutability. This research investigates how blockchain technology reduces the chances of data tampering and unauthorized adjustments by examining its underlying concepts and features, such as decentralization, cryptography, consensus procedures, and immutability. Blockchain networks are decentralized, so they don't rely on any one entity to function. This eliminates one potential point of failure or manipulation. Data is protected from tampering and disclosure thanks to the use of hash functions and digital signatures, two examples of strong cryptographic algorithms. By confirming and agreeing on transactions, consensus methods like Proof of Work (PoW) and Proof of Stake (PoS) keep the blockchain ledger up-to-date and accurate. By linking blocks together and recording timestamps, blockchain makes it practically impossible to alter data after it has been recorded. The distributed ledger's availability to the public and ease of use encourage accountability and deter dishonest participants. Smart contracts eliminate the need for third parties by automating operations based on predetermined rules that cannot be altered after they have been created. This study also delves into blockchain fork resistance, incentives for truthful involvement, and other network security measures. It also covers the security implications of both permissioned and permissionless blockchains. Blockchain technology provides strong security procedures, but it has several drawbacks that must be taken into account. These include issues with scalability and the possibility of security flaws in smart contracts. Therefore, securing security and performance requires cautiously considering particular use case needs and picking the right blockchain platform and configuration. For blockchain networ

关键词： Blockchain Consensus Algorithms Cryptography Immutable Ledger

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Neural Network Implementation for Battery Failure Detection in Electric Vehicles

Neural Network Implementation for Battery Failure Detection ...

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2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023

作者： Vijitha, S. Hebri, Dheeraj Singh, Sangeeta Manohara, M. Ishrat, Mohammad Joseph, D Raja Vels Institute of Science Technology & Advanced Studies Department of Computer Science and Engineering Tamil Nadu Chennai600117 India Srinivas Institute of Technology Department of Master of Computer Application Karnataka Mangaluru574143 India JSS Academy of Technical Education Department of Electrical Engineering Uttar Pradesh Noida201301 India Mohan Babu University School of Engineering Andhra Pradesh Tirupati517102 India KoneruLakshmaiah Education Foundation Department of Computer Science and Engineering Guntur Andhra Pradesh Vaddeswaram522502 India Hindustan Institute of Technology and Science School of Aeronautical Sciences Tamil Nadu Chennai603103 India

ISBN: (纸本)9798350319200

Soil destruction and global warming have recently come to the forefront of discussion in industrialised nations as governments strive to accommodate the rising demands of their citizens. The demand for zero-emission electric cars has increased as a result of international competitiveness and technological advancements (EVs). Concerns about the high voltage of increasing numbers of electric cars are shared by an increasing number of individuals. Since the system of batteries may be at responsible for over 30% of EV accidents, it is vital to investigate how problems with LIBs are recognized. Many different kinds of problems make it hard to fix EV's LIB. Fast and precise diagnosis of battery pack problems is crucial for the immediate and ongoing safety of EV operation. Utilizing models of neural networks like multiple hidden layers (MLP) or nonlinear activation functions, this research provides a mechanism for identifying and fixing problems with electric vehicle batteries (RBF). To generate information for the BFD system, battery simulations are done in MATLAB. Accuracy may be improved by performing pre-processing steps on the information once it has been generated. After training, the two models are put to the test to see how well they perform. There are both positive and negative measures that may be used to determine which model is the best. © 2023 IEEE.

关键词： Accuracy Battery Electric Vehicle Fault Model Neural Network

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Low-Dose Electron Microscopy Imaging of Electron Beam-Sensitive Crystalline Materials

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Accounts of Materials Research 2022年第5期3卷 552-564页

作者： Jia Lv Hui Zhang Daliang Zhang Lingmei Liu Yu Han Multi-scale Porous Materials Center Institute of Advanced Interdisciplinary Studies&School of Chemistry and Chemical EngineeringChongqing UniversityChongqing 400044P.R.China Advanced Membranes and Porous Materials Center Physical Sciences and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia

As one of the most widely used characterization tools in materials science,(scanning)transmission electron microscopy((S)TEM)has the unique ability to directly image specimens with atomic *** to diffraction-based techniques,the main advantage of(S)TEM imaging is that in addition to the periodic average structures of crystalline materials,it can be used to probe nonperiodic local structures such as surfaces,interfaces,dopants,and defects,which have crucial impacts on material ***,many crystalline materials are extremely sensitive to electron beam irradiation,which can only withstand dozens(or even fewer)of electrons per square angstrom before they undergo structural *** using electron doses lower than the thresholds can in principle preserve their structures,the thus acquired images are too noisy to be ***,high-resolution imaging of the inherent structures of such electron beam-sensitive materials using(S)TEM is a longstanding *** recent years,the advances in electron detectors and image-acquisition methods have enabled high-resolution(S)TEM with ultralow electron doses,largely overcoming this challenge.A series of highly electron beam-sensitive materials that are traditionally considered impossible to be imaged with(S)TEM,including metal organic frameworks(MOFs),covalent organic frameworks(COFs),organic−inorganic hybrid halide perovskites,and supramolecular crystals,have been successfully imaged at atomic *** technological advance has greatly expanded the application range of electron *** Account focuses on our recent works pertaining to the high-resolution imaging of electron beam-sensitive materials using very low electron *** first explain that the use of direct-detection electron-counting(DDEC)cameras provides the hardware basis for successful low-dose high-resolution TEM(HRTEM).Subsequently,we introduce a suite of methods to address the challenges peculiar to low-d

关键词： Electron crystalline precise

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Secure IoT-Based Communication Protocols for Smart Cities 9

Secure IoT-Based Communication Protocols for Smart Cities

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9th International Conference on Science, technology, engineering and Mathematics, ICONSTEM 2024

作者： Devi, Kabirdoss Jangirala, Srinivas Hussien, Naseer Ali Abbas, Jamal K. Naser, Sarmad Jaafar Vinayagam, S. School of Management Studies Vels Institute of Science Technology And Advanced Studies Chennai Tamil Nadu Pallavaram600117 India Jindal Global Business School O. P. Jindal Global University Haryana Sonipat131001 India Al-Ayen University Information And Communication Technology Research Group Scientific Research Center Thi-Qar Iraq AL-Nisour University College Department of Medical Laboratories Technology Baghdad Iraq College of Pharmacy National University of Science And Technology DhiQar Iraq Saveetha School of Engineering Saveetha Institute of Medical And Technical Sciences Department of Bioscience Tamil Nadu Chennai India

ISBN: (纸本)9798350365092

As human cities become more financially stable and enter the Web of Things era, people are increasingly prepared to create cities, use data assets more effectively, and establish unique specifications for the ecological plan of smart cities. In any case, there are significant barriers to the development of smart cities, which can be linked to problems with capacity, creativity, energy, and finances in metropolitan structure. As a result, metropolitan development should use the Web of Things as the cornerstone of astute growth in the Web of Things era in order to promote a streamlined handling model of urban development that makes use of brilliant astounding ways and the relationship. The public foundation and the density of the metropolitan population are regarded in this review as the enhancement objects, and the Web of Things smart city serves as the exploration point. The review's findings demonstrate how growing clinical and athletic resources can be fairly allocated and enhanced, increasing the rate at which public resources are used while maintaining foundation and populace trust. © 2024 IEEE.

关键词： Smart city

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