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IoT Enhanced Optimization of Wind Energy Systems Using LCL Filter

IoT Enhanced Optimization of Wind Energy Systems Using LCL F...

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Advances in computing, Communication and Applied Informatics (ACCAI), international conference on

作者： V. Meenakshi V.Vijeya Kaveri A.Santhi Mary Antony S. Radhika M. Kavitha M. Pushpavalli Department of EEE Sathyabama Institute of Science and Technology Chennai India Department of CSE Sri Krishna college of Engineering and Technology Coimbatore India Department of EEE ICAM College of Engineering and Technology chennai India

ISBN: (数字)9798350389449

ISBN: (纸本)9798350389456

Among the non-conventional electrical energy resources, it’s far a great deal beneficiary and mandate to make use of wind power for the development of decentralized integrated power structures together with sun power, hydel energy and biomass and so on., Wind mills do not release emission which could pollute air or water and. Wind energy is recommended for a prolonged utilization whilst troubles like oil shortages and environmental effects and so on., arises inside the market. Doubly Fed Induction Generator machine (DFIG) is desired. Here this paper describes the several ways in which small wind turbines can benefit from IoT integration such as Remote monitoring and control, predictive maintenance optimization performance, energy management and grid integration, LCL filter design together with its mathematical expressions to validate the layout info each in analytical and experimental manner is discussed to control total harmonic distortion. LCL filter in grid side for that transfer function and the consequent frequency area approach the usage of Bode plot has been offered. The distortion current for $L C L$ filter is shown inside the simulated consequences. It additionally gives the dynamic version of LCL filter in simulation the use of Simulink/MATLAB.

关键词： Wind Wind energy Doubly fed induction generators Wind power generation Water pollution Wind turbines Voltage control

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Resource Allocation Based on Deep Neural Networks for Automotive Radar Interference Optimization

Resource Allocation Based on Deep Neural Networks for Automo...

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Sustainable computing and Integrated Communication in Changing Landscape of AI (ICSCAI), international conference on

作者： P. William Upma Jain Mohammed I. Habelalmateen Anurag Shrivastava Kanchan Yadav Amandeep Nagpal Department of Information Technology Sanjivani College of Engineering Pune Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Department of computers Techniques engineering College of technical engineering The Islamic university Najaf Iraq Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamilnadu Department of Electrical Engineering GLA University Mathura Lovely Professional University Phagwara India

ISBN: (数字)9798350355338

ISBN: (纸本)9798350355345

Deep Neural Networks (DNNs) are going to be used in this study with the intention of achieving the objective of optimising the resource allocation and interference control of vehicle radar systems. Because contemporary automobiles depend heavily on radar technology for both their safety and their capacity to engage in autonomous driving, reliability is an essential characteristic of vehicular radar systems. Despite this, there is an increasing amount of congestion in the electromagnetic spectrum, which makes it more difficult for radar systems to perform their functions. Utilising DNNs as a tool for resource allocation is a method that shifts the paradigm by optimising accuracy, efficiency, and flexibility to the fullest extent possible. For the purpose of this study, a comprehensive review of the existing literature on a variety of topics, including smart grids, the energy harvesting potential of wireless networks, and the use of DNNs in automobile radar systems, is carried out. The article presents a comprehensive review of smart grids and coordinated multi-point communication, with the primary emphasis being placed on collaborative energy use and communication. This article investigates the fundamental ideas behind DNNs, as well as their applications, advantages, and challenges when applied to automobile radar systems.

关键词： Reviews Collaboration Radar Interference Smart grids Resource management Automobiles Optimization Autonomous vehicles Automotive engineering

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Laboratory Setup for Stability and Optimization Studies of Hybrid Microgrids 7

Laboratory Setup for Stability and Optimization Studies of H...

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7th international conference on Smart and Sustainable Technologies, SpliTech 2022

作者： Beus, Mateo Herencic, Lin Pandzic, Hrvoje Rajsl, Ivan University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789532901160

Utilization of microgrids is an integral part of the efforts for increased resiliency and deep integration of renewable energy sources in the power systems, as they allow maximization of the use of locally available resources and operational harmonization of internally interconnected parts of the power systems - either in grid-connected or island mode. Development of laboratory setups for studying different aspects of microgrids has been recognized as a valuable tool for preparation of the real-life implementation. In this paper we present a developed AC/DC laboratory setup that incorporates solar photovoltaic systems, battery energy storage, an electric vehicle charger, a small hydro power plant, electronically controllable loads, as well as resistors and inductors that replicate the topology of the CIGRE low-voltage distribution network. Harmonized operation of the elements of the microgrid is ensured by the implemented supervisory control and data acquisition (SCADA) system. To demonstrate wide potential of the developed setup, we present the results of several experiments in this paper. © 2022 University of Split, FESB.

关键词： Solar energy

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Research on intelligent manufacturing equipment visual inspection control based on machine vision 4

Research on intelligent manufacturing equipment visual inspe...

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4th IEEE international conference on Automation, Electronics and electrical engineering, AUTEEE 2021

作者： Huo, Chunyan Li, Tianshu Harbin Huade University Heilongjiang Harbin150025 China

ISBN: (纸本)9781665428392

Enterprise mass production and zero waste control require on-line automatic detection in production and processing. Machine vision plays a key role in automatic detection. In recent years, with the development of economy and the progress of science and technology, the level of production and manufacturing technology has made remarkable achievements, and industrial robots are more and more widely used in the field of production and manufacturing. With the wide application of industrial robots, the technical level of industrial robots has also made significant progress. At present, industrial robots have higher functionality and stability, and industrial robots have also introduced visual monitoring technology, which makes the manufacturing field more intelligent. In order to meet the huge demand of the intelligent manufacturing equipment industry for machine vision technology, this paper combines the technical characteristics of equipment and special application environment to propose a general machine vision inspection and control technology system, which makes up for the current research deficiencies. © 2021 IEEE.

关键词： Industrial robots

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automatic Test Case Generation Method Based on Improved Whale Optimization Algorithm 2021

Automatic Test Case Generation Method Based on Improved Whal...

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5th international conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2021

作者： Wang, Jing Zhao, Weidong College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China

ISBN: (纸本)9781450389679

In view of the slow convergence speed and parameter control of the existing heuristic algorithm in the automatic test case generation, this paper proposed to apply the whale optimization algorithm(Abbreviation: WOA) to the automatic test case generation, and used chaos strategy to improve WOA, and In order to solve the problem that WOA initialization is not uniform and easy to fall into local optimal solution, uses chaos initialization was used instead of random algorithm to initialize the population and solved the problem of uneven distribution of particles, consequently when the optimal value fell into the local optimal solution, the chaos disturbance operation was carried out on the optimal value. Based on this, an automatic test case generation method based on improved whale algorithm was proposed. This method aimed at one path at a time and used the improved whale optimization algorithm to optimize the population and find the optimal value. © 2021 Association for computing Machinery. All rights reserved.

关键词： Heuristic algorithms

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High Real-time Locomotion Recognition Algorithm Using Inertial Measurement Units

High Real-time Locomotion Recognition Algorithm Using Inerti...

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2022 CSAA/IET international conference on Aircraft Utility Systems, AUS 2022

作者： Wang, Jiaqi Wang, Xingjian Miao, Yinan Wang, Shaoping An, Mailing Miao, Yiqi Gavrilov, Alexander I. School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Qingdao Research Institute Beihang University Qingdao266104 China Beijing Advanced Innovation Center for Big Data-based Precision Medicine Beihang University Beijing100191 China Bauman Moscow State Technical University Department of Automatic Control Systems Moscow105005 Russia

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

Human-machine interaction devices (HMI), such as assisted exoskeletons and assisted prostheses, that improve human motion behaviours are playing an increasingly important role in various fields. In order for these HMI devices to provide accurate and appropriate assistance to wearers, the real-time recognition of locomotion with accuracy is among the key issues to be solved. This paper proposes a high real-time motion pattern recognition algorithm using inertial measurement units (IMU) that can accurately and quickly identify the current motion state by collecting various motion parameters of the lower limb during human walking. The algorithm uses a trajectory solving and motion direction discrimination method based on the shank zero velocity point and a terrain classification method based on an F-score improved support vector machine (F-score-SVM). In this paper, experimental data was used to verify the performance of the algorithm. Results show that the algorithm performs better than traditional recognition algorithms in complex environments. © 2022 IET conference Proceedings. All rights reserved.

关键词： Support vector machines

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Mitigation and Swift Curative Procedure on Alluring Smart City Using Falcon Technology 1

引用

international conference on Big Data and Cloud computing, ICBDCC 2021

作者： Nivethini, G.S. Yokesh Srenevas, R. Rahfar Nisha, R. Ignisha Rajathi, G. Computer Science and Business System Sri Krishna College of Engineering and Technology Tamil Nadu Coimbatore India

ISBN: (数字)9789811921773

ISBN: (纸本)9789811921766

With the help of modern Artificial intelligence—AI tools through which the normalcy and anomaly can be determined based on the available data in traffic monitoring and control processes. Then by employing efficient algorithms the available data along with image and video captures can be filtered to detect possible anomalies. The main filtering is done based on object detection and identification-based classification methods. This system can be viewed as a complex one with a control room constituting some 20 screens with many cameras associated forming a big network. This innovation is a new approach to reduce manpower and complexity of the existing system thereby improving the quality of life. The major concern is reducing road accidents as nearly one third of the mortality lies there. So, by proper pre-detection this can be reduced. This innovation consists of a bird shaped IOT device named "Falcon" with certain built-in functions to effectively monitor our smart cities and save lives. The main activities would be detecting road accidents, giving prior information and improving women safety. This falcon can be controlled via mobile application. Any threats and hazards faced by any woman can be easily identified and the falcon will send appropriate information to the police and pre-configured members. This can also serve to monitor transport in traffic signals and will report immediately in case of any violations of the traffic rule. When monitoring any threats or accidents that have taken place then notifications with captures will be sent to the police and hospitals. During any natural calamities or even on a regular basis also delivery of any medicines or essential commodities in a short time can be done by this falcon. This will also improve surveillance and better coordination amongst the police, smart city authorities and other government departments to perform better services for the citizens and to serve the people in a better way especially during emergenci

关键词： Hospitals

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Challenges in Metaverse Research: An Internet of Things Perspective

Challenges in Metaverse Research: An Internet of Things Pers...

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Metaverse computing, Networking and Applications (MetaCom), IEEE international conference on

作者： Tarek Abdelzaher Matthew Caesar Charith Mendis Klara Nahrstedt Mani Srivastava Minlan Yu Department of Computer Science University of Illinois Urbana IL USA Department of Electrical and Computer Engineering University of California Los Angeles CA USA Department of Computer Science Harvard University Cambridge MA USA

The paper describes research challenges arising from the increasing interest in supporting more immersive and more intelligent environments that enable the next generation of seamless human and physical interactions. These environments span the gamut from augmented-physical to virtual, and are referred to hereafter as the Metaverse. We focus on challenges that constitute a natural extension of Internet of Things (IoT) research. Among the key applications of IoT has always been the integration of physical and cyber environments to endow "things" with a better contextual understanding of their surroundings, and endow human users with more seamless means of perception and control, ranging from smart home automation to industrial applications. This IoT vision was based on the premise that the number of physical "things" on the Internet will soon significantly outpace humans. Intelligent IoT further envisions a proliferation of edge intelligence with which humans will interact. The paper elaborates the research challenges that extrapolate the above trajectory.

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Onenet-based smart classroom design for effective teaching management 2021

Onenet-based smart classroom design for effective teaching m...

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4th international conference on Information Systems and Computer Aided Education, ICISCAE 2021

作者： Shang, Junlin Liu, Yuhao Lei, Yuxin School of Computer and Information Engineering Tianjin Normal University Tianjin China School of Electrical Engineering and Automation Soochow University Suzhou China

ISBN: (纸本)9781450390255

In recent years, with the development of IoT, cloud computing and big data, there is an increasing number of smart devices for smart classrooms. Comparing to the traditional classrooms which are lack of attendance management and intelligent control of the environment facilities, these smart classrooms have great advantages in automatic control for facilities in the classrooms, ensuring security, and improving teaching quality. In this paper, we propose a new OneNet-based smart classroom architecture for teaching management effectively. In this architecture, we improve the traditional check-in method using both Bluetooth positioning technology and mobile terminal equipment. In addition, the architecturewe propose can analyze environmental information in the classroom automatically through using sensors and adjust the classroom's environment state using cloud platforms intelligently. In order to make it more convenient to control and manage the classrooms' environment, we use data visualization technology to illustrate some real-time state parameters of the classrooms visually. Furthermore, we implement the architecture we propose in the real scenario. The results of the analysis and evaluation for this architecture we propose show that it is feasible to use and promote this kind of architecture in real teaching scenarios. © 2021 ACM.

关键词： Cloud computing

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IoT RFID Lock Door Security System 3

IoT RFID Lock Door Security System

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3rd international conference on Emerging electrical Energy, Electronics and computing Technologies 2021, ICE4CT 2021

作者： Zabidi, M.S.Z.M. Yusof, K.H. Ahmad, A.S. Shahadan, N.H. Yusof, K.A. Yusof, K Amri Subari, S.N.M. Faculty of Information Science and Engineering University Drive Off Persiaran Olahraga Selangor Shah Alam40100 Malaysia Department of Electrical Engineering Politeknik Ibrahim Sultan KM 10 Jalan Kong Kong Johor Pasir Gudang81700 Malaysia

Wireless security system is widely used and favored by many industries, leading to mass growth of this technology. Prior to that, many advancement has been made throughout the decades. One of the popular wireless security systems is the Radio Frequency Identification System or RFID. RFID is favored over other systems due to myriads of its application in current systems like ATM cards, national ID card, toll system, parking lot system, and even mobile phones. This paper proposes an improved design of an RFID security system utilizing a Wi-Fi capable microcontroller (ESP-8266/ESP-12E). Combining the RFID system with an IoT system shall provide user with maximum control and monitor over the system. In this system, a RFID module (MCRF522) and an ESP-12E are used to identify a RFID card UID, in which a relay will turn on if the card is authorized, and the otherwise if not. The information will then be transmitted over the internet to a database, in which the information will be accessible via an app created specifically for the system for flexible configuration by the host user. © Published under licence by IOP Publishing Ltd.

关键词： Radio frequency identification (RFID)

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