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Terahertz Communications and Sensing Overview 3

Terahertz Communications and Sensing Overview

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3rd international conference on Advancement in Electronics and Communication engineering, AECE 2023

作者： Salama, Ramiz Altrjman, Chadi Al-Turjman, Fadi Yadav, Satya Prakash Vats, Satvik Gupta, Richa Ai and Robotics Institute Research Center for Ai and IoT Near East University Department of Computer Engineering Near East Boulevard TRNC Mersin 10 Nicosia99138 Turkey Waterloo University Department of Chemical Engineering ONN2L 3G1 Canada Ai and Robotics Institute Near East University Artificial Intelligence Engineering Dept Mersin10 Nicosia Turkey Department of Computer Science and Engineering Greater Noida201306 India Graphic Era Hill University Department of Computer Science and Engineering Dehradun India Raj Kumar Goel Institute of Technology Department of Electronics & Communication Engineering India

ISBN: (纸本)9798350330724

Terahertz (THz) (0.1-10 THz) wireless communication is one of the cornerstones of the next 6G wireless networks. THz frequencies have the ability to dramatically increase wireless capacity performance and enable high-resolution environment sensing if applied properly due to the enormous quantity of accessible bandwidth. However, the usage of wireless devices in high-frequency bands like THz is constrained by a very unpredictable and dynamic channel. The ultimate result is essentially unreliable intermittent connections since these channel constraints have a naturally restricted communication range and a high susceptibility to blocking and chemical absorption. Because of this, the THz band's potential for high-rate communications and high-resolution sensing may be hindered. This study thoroughly examines the steps necessary to build up and operate next-generation THz wireless networks that will work together to deliver a variety of communication and sensing services in this environment. We first lay the groundwork for this by defining the THz frequency range's fundamentals. Using these fundamentals as a foundation, we outline and carefully investigate seven specific qualities that characterize THz wireless systems: Some of the subjects discussed include the quasi-opticality of the band, wireless architectures suited for THz, synergy with lower frequency bands, cooperative sensing and communication systems, PHY-layer protocols, spectrum access techniques, and real-time network optimization. These seven distinctive features enable our understanding of how to re-engineer wireless systems as we know them today to fit THz bands and their specific settings. On the one hand, THz systems make use of its quasi-optimality and may turn any sensing opportunity into a communication problem, aiding in the development of a new breed of flexible wireless systems that can do many jobs beyond straightforward communications. THz systems can alternatively use intelligent surfaces, lower

关键词： Internet of Everything

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3rd Modeling, Estimation and control conference, MECC 2023 - Proceedings

3rd Modeling, Estimation and Control Conference, MECC 2023 -...

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3rd Modeling, Estimation and control conference, MECC 2023

ISBN: (纸本)9781713872344

The proceedings contain 107 papers. The topics discussed include: development of linear battery model for path planning with mixed integer linear programming: simulated and experimental validation;challenges in integrating low-level path following and high-level path planning over polytopic maps;experimental validation on aerial vehicles of real-time motion planning with continuous-time Q-learning;subspace structured neural network for rapid trajectory optimization;prediction of aircraft estimated time of arrival using a supervised learning approach;modelling and parameter estimation of cartridge probes for atomic force microscopy;wind field estimation using multiple quadcopters;active suspension parameters identification: an algebraic approach and its application to suspension travel control;and reinforcement learning enabled safety-critical tracking of automated vehicles with uncertainties via integrated control-dependent, time-varying barrier function, and control Lyapunov Function.

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Wind power prediction model based on long and short-term memory neural network 3

Wind power prediction model based on long and short-term mem...

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3rd IEEE international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Wang, Zhen Zhang, Zihao Wang, Kai Chu, Liming Zhejiang Yuexiu University Hotel Management School Shaoxing China Shandong University School of Control Science and Engineering Jinan China Nanjing North Information Industrialization Group Co. Ltd. Nanjing China

ISBN: (纸本)9798350398410

A reliable forecast of wind energy can serve as a crucial foundation for the operation of wind farms and grid security. In this paper, a deep learning based long short-term memory neural network prediction method is proposed. First, get the wind power data, the data sampling interval is 1h, complete the data pre-processing;the data set is then divided into a training set and a test set to build a wind power prediction model based on LSTM neural network;finally, the established model is validated by the actual data of a wind farm. The findings demonstrate that the suggested technique is more appropriate for wind power forecasting and can more accurately anticipate wind power trends than conventional prediction algorithms. © 2023 IEEE.

关键词： Long short-term memory

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Multi-Frequency Damping Adaptive control Strategy for Active Dampers Based on MultiHarmonic Detection 3

Multi-Frequency Damping Adaptive Control Strategy for Active...

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3rd IEEE international conference on Industrial Electronics for Sustainable Energy Systems, IESES 2023

作者： Gao, Hailong Xiao, Xuequan Zhou, Yushan Zhang, Xiao Zhao, Yihang State Grid Jiangsu Electric Power Company Dept. of Xuzhou Power Supply Branch Xuzhou China China University of Mining and Technology Dept of Electrical and Power Engineering Xuzhou China

ISBN: (纸本)9798350324754

As the interface between new energy and the power grid, grid-connected converters are easy to cause multifrequency oscillation of the system. So, this paper proposes an active damper to dampen multiple harmonics by simulating virtual resistance. The basic idea of the active damper is that use the cascaded multiple Second-Order Generalized Integrator with the Frequency-Locked Loops (SOGI-FLL) to detect and extract the unknown multiple harmonics automatically. Then, for different content of resonance, the active damper adjusts the virtual resistance value adaptively to enhance the stability of the system. Finally, the simulations of MATLAB/Simulink are carried out and the results verify the accuracy and effectiveness of the proposed scheme. © 2023 IEEE.

关键词： MATLAB

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Weather Avoidance Field Establishment Algorithm Based on Fuzzy Theory 3

Weather Avoidance Field Establishment Algorithm Based on Fuz...

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3rd international Signal Processing, Communications and engineering Management conference, ISPCEM 2023

作者： Xie, Lei Fu, Yao Su, Gang Ye, Jiaquan The Second Research Institute of Civil Aviation Administration of China Chengdu China Sichuan Airlines Co. Ltd. Engineering Technology Branch Chengdu China

ISBN: (纸本)9798350307023

Severe weather poses a serious threat to flight safety. It is a great significance to establish the weather avoidance field accurately for ensuring flight safety and optimizing air traffic flow. In this paper, we propose a weather avoidance field establishment algorithm based on fuzzy theory. Based on the two important characteristics of weather system intensity and the degree of air traffic affected by weather, the algorithm adopts the weather weight function to describe the continuous positive correlation between weather influence degree and weather system intensity, and optimizes the distance correlation coefficient function by considering the change of affected area scope caused by the difference of weather system intensity. Thus, a weather avoidance field model is established to convert weather information into airspace constraints. Some straight results show that the model proposed in this paper can establish the weather avoidance field scientifically and reasonably. © 2023 IEEE.

关键词： Air traffic control

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Numerical simulation of magnetic circuit characteristic based on magnetohydrodynamic momentum ring 3

Numerical simulation of magnetic circuit characteristic base...

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3rd international conference on Mechanical, Electronics, and Electrical and Automation control, METMS 2023

作者： Gu, Youlin Liu, Chaozhen Fu, Chao Liang, Qinghua School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai Aerospace Control Technology Institute Shanghai201109 China

ISBN: (纸本)9781510666689

The magnetohydrodynamic momentum ring studied in this paper is used for satellite attitude adjustment. The purpose of this paper is to study the magnetic field distribution characteristics of magnetohydrodynamic momentum ring. In this paper, the coupling method is used for numerical simulation. The results show that the design of axial magnetic field distribution is more reasonable. The simulation results can be used to provide reference for the subsequent experimental research. © 2023 SPIE. All rights reserved.

关键词： Magnetohydrodynamics

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Sensorless control of permanent magnet synchronous motor based on UKF 3

Sensorless control of permanent magnet synchronous motor bas...

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3rd international conference on Electronics, Electrical and Information engineering, ICEEIE 2023

作者： Fu, Yang Binbin, Li Zhigao, Chen Tangjia, Xie Mengna, Li School of Electrical Engineering Shanghai Dianji University Shanghai China

ISBN: (纸本)9781510671423

In order to solve the problems of high cost, large volume and difficult maintenance when traditional mechanical sensors are used in permanent magnet synchronous motor, a sensorless system model of permanent magnet synchronous motor based on untracked Kalman observer is established in this paper, and the running state of permanent magnet synchronous motor is predicted by untracked Kalman algorithm to achieve closed-loop control. The simulation results show that the traceless Kalman observer has the advantages of accurate prediction, good dynamic and static performance, and strong anti-interference ability. It solves the defects of traditional permanent mechanical sensors to a large extent, and has great application prospects in the future. © 2023 SPIE.

关键词： Permanent magnets

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Improved Twin Network Target Tracking Algorithm Based on Hybrid Attention Mechanism 3

Improved Twin Network Target Tracking Algorithm Based on Hyb...

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3rd international conference on Electronic Information engineering and Computer Science, EIECS 2023

作者： Zhang, Xiaozheng Pan, Yuhang Zhao, Haili China Noeth Vehicle Research Insitute Department of Information and Control Technolog BeiJing China Changchun University of Science and Technology School of Electronic Information Engineering ChangChun China

ISBN: (纸本)9798350316674

Deep getting to know techniques are turning into extra and extra famous in the area of goal monitoring due to their effective function extraction capabilities, amongst which the twin network-based goal monitoring algorithm with excessive walking body price and robust monitoring fault tolerance has attracted the interest of many scholars. Aiming at the drawbacks that twin networks use an offline method to recognize end-to-end mannequin training, and the educated mannequin can't trade the community parameters and the goal template at some point of the monitoring process, this paper proposes an increased twin community goal monitoring algorithm primarily based on a hybrid interest mechanism, which is first off skilled offline on the education set of the ILSVRC2015 dataset, and then on the coaching units of ILSVRC2015 and The algorithm is examined and evaluated on a take a look at set on the plane class of the VOT2018 dataset, and the experimental outcomes exhibit that the success fee of the algorithm proposed in this paper is multiplied from 61.2% to 68.4% and the accuracy from 77.1% to 82.3% of the SiamFC base algorithm, which proves that the algorithm has properly monitoring performance. © 2023 IEEE.

关键词： attention mechanism goal tracking twin network

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Model Predictive control of Five-Level Current Source Converter with Optimized Weighting Factors 3

Model Predictive Control of Five-Level Current Source Conver...

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3rd IEEE international conference on Industrial Electronics for Sustainable Energy Systems, IESES 2023

作者： Chen, Muyu Yuan, Zhige Faraji, Faramarz Ghias, Amer M. Y. M. Cha, Honnyong Nicholas, Vun Chan Hua School of Electrical and Electronic Engineering Nanyang Technological University Collab. Initiative Interdisciplinary Graduate Programme Singapore School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Energy Engineering Kyungpook National University Daegu Korea Republic of School of Computer Science and Engineering Nanyang Technological University Singapore

ISBN: (纸本)9798350324754

This paper presents the finite control set model predictive control (FCS-MPC) with improved control objectives using optimized weighting factors. The Pareto curve obtained from the Particle Swarm optimizes the weighting factors. The optimal weighting factors are then used in the FCS-MPC algorithm to enhance the control objective performance of a three-phase five-level current source converter (5L-CSC). In 5L-CSC, two identical three-level CSC (3L-CSC) modules are connected in parallel with one common current source supply to provide uniform five-level output current waveform. This CSC requires a current balance to operate the converter safely. Therefore, the control objective of the MPC is to control the output voltage and balance the internal currents. The weighting factors are optimized based on the converter's total harmonics distortion (THD) performance and inductor current ripple. The performance enhancement of 5L-CSC, utilizing optimal weighting factors, is confirmed through MATLAB simulations when compared to the model employing arbitrarily assigned weighting factors. The simulation outcomes additionally indicate that the integration of Particle Swarm Optimization (PSO) with FCS-MPC exhibits resilience across various condition settings. © 2023 IEEE.

关键词： Model predictive control

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DREaD: Decision Tree-Aided Random Early Detection - An Intelligent Active Queue Management Technique 3

DREaD: Decision Tree-Aided Random Early Detection - An Intel...

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3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Kesiezie, Kevikhietuo Murry, Lithungo K. National Institute of Technology Nagaland Department of Computer Science and Engineering Chumukedima India

ISBN: (纸本)9798350319125

As the number of packets exceeds the capacity of the network, network resources get overwhelmed, resulting in congestion - affecting the performance of the network. In order to ensure optimal network performance, minimize data loss, and improve packet delivery ratio., it is imperative that the onset of network congestion be identified., analyzed, and mitigated. In this paper, we propose Decision tree-aided Random Early Detection (DREaD) technique, an improved version of Random Early Detection (RED) for queue management at the router to detect congestion in the network a-priori so as to handle the incoming packets. The simulation results show an improvement in the packet delivery ratio, throughput, and a decrease in the packet loss ratio over the existing RED, Adaptive RED (ARED), Nonlinear RED (NLRED), Gentle RED (GRED), and RED-Quadratic Linear (RED-QL) algorithms for active queue management. © 2023 IEEE.

关键词： Active Queue Management congestion avoidance congestion control machine learning Random Early Detection

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