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Conference on Lasers and Electro-Optics (CLEO)

作者： Yuan Liu Chongxin Zhang Daniel M. DeSantis Diya Hu Thomas Meissner Andres Garcia Coleto Benjamin Mazur Jelena Notaros Jonathan Klamkin Electrical and Computer Engineering Department University of California Santa Barbara CA Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts

ISBN: (纸本)9798350369311

A high-resolution 64-channel arrayed-waveguide-grating-assisted silicon- integrated optical phase array is demonstrated for 2-D beam steering. A field of view of $5^{\circ}\times 25^{\circ}$ with 0.3° vertical resolution is achieved over a wavelength range of 100 nm with a single optical input. Higher vertical resolution can be attained by utilizing all the inputs of the OPA.

关键词： Phased arrays Integrated optics Beam steering Lasers and electrooptics Laser beams Electro-optical waveguides Optical arrays

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Camera Lidar Fusion for Unmanned Aerial Vehicle Detection

Camera Lidar Fusion for Unmanned Aerial Vehicle Detection

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Iberian Robotics Conference (ROBOT)

作者： Cosimo Leuci Sedat Dogru Lino Marques Department of Electronics and Telecommunications (DET) Polytechnic University of Turin Turin Italy Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Coimbra Portugal

ISBN: (数字)9798350376364

ISBN: (纸本)9798350376371

Due to their low-cost and ease of use, cameras are very popular for drone detection. Thanks to the feature reach images obtained from the cameras, it is possible to classify drones with a relatively high success ratio. However, cameras lack the means for accurate localization, allowing only a rough measure of the orientation of the target UAV. In order to better localize the UAV, in this study we fuse camera and lidar measurements, localizing UAVs accurately. This fusion was implemented using a Kalman filter, which enables integration of both sensor data, improving detection and tracking accuracy

关键词： Location awareness YOLO Laser radar Accuracy Robot vision systems Cameras Autonomous aerial vehicles Kalman filters Vehicle dynamics Drones

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Path-Guided Particle-based Sampling

arXiv

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arXiv 2024年

作者： Fan, Mingzhou Zhou, Ruida Tian, Chao Qian, Xiaoning Department of Electrical & Computer Engineering Texas A&M University College StationTX United States Department of Electrical and Computer Engineering University of California Los AngelesCA United States Department of Computer Science and Engineering Texas A&M University College StationTX United States Computational Science Initiative Brookhaven National Laboratory UptonNY United States

Particle-based Bayesian inference methods by sampling from a partition-free target (posterior) distribution, e.g., Stein variational gradient descent (SVGD), have attracted significant attention. We propose a path-guided particle-based sampling (PGPS) method based on a novel Log-weighted Shrinkage (LwS) density path linking an initial distribution to the target distribution. We propose to utilize a Neural network to learn a vector field motivated by the Fokker-Planck equation of the designed density path. Particles, initiated from the initial distribution, evolve according to the ordinary differential equation defined by the vector field. The distribution of these particles is guided along a density path from the initial distribution to the target distribution. The proposed LwS density path allows for an efficient search of modes of the target distribution while canonical methods fail. We theoretically analyze the Wasserstein distance of the distribution of the PGPS-generated samples and the target distribution due to approximation and discretization errors. Practically, the proposed PGPS-LwS method demonstrates higher Bayesian inference accuracy and better calibration ability in experiments conducted on both synthetic and real-world Bayesian learning tasks, compared to baselines, such as SVGD and Langevin dynamics, etc. © 2024, CC BY-NC-SA.

关键词： Fokker Planck equation

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Fuzzy Control of a Hydrodynamic Process

Fuzzy Control of a Hydrodynamic Process

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International Symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Igor Krčmar Petar Marić Velibor Đalić Aleksandar Rakić Bojan Derajić Faculty of Electrical Engineering University of Banja Luka Banja Luka BiH The Department of Signals and Systems School of Electrical Engineering University of Belgrade Belgrade Serbia Faculty of Electrical Engineering and Computer Science Technical University of Berlin Berlin Germany

Hydrodynamic processes, part of many industrial and urban infrastructure systems, usually lack accurate models, hence introducing ambiguity in a controller design procedure. Operators and control engineers provide significant knowledge about successful control of hydrodynamic systems. Fuzzy controller, suitable to exploit and incorporate available knowledge, is designed for control of a benchmark coupled tank system. Successful fuzzy controller must cope with slow dynamics of the process, dead zone of an actuator, and unipolar control signal, when employed in reference tracking tasks. The designed fuzzy controller implements fuzzy inference system with 15 rules, two inputs and one output, as well as three adjustable gain parameters. The proposed controller is successful in reference tracking tasks and disturbance suppression. Experiments, organised as reference tracking tasks and implemented as computer simulations, support the analysis.

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Improving Lidar Based Tracking of UAVs Using an Approach Based on Focusing

Improving Lidar Based Tracking of UAVs Using an Approach Bas...

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Iberian Robotics Conference (ROBOT)

作者： Alberto Cerutti Sedat Dogru Lino Marques Department of Electronics and Telecommunications (DET) Polytechnic University of Turin Turin Italy Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Coimbra Portugal

ISBN: (数字)9798350376364

ISBN: (纸本)9798350376371

This paper presents a novel approach for detecting drones using a lidar sensor integrated on a robotic turret. The turret rotates allowing the sensor to scan the sky, and both hardware components communicate in real-time. When the lidar sensor detects a drone, the detection data is used to dynamically adjust the motion pattern of the turret, allowing the system to capture more data by orienting the lidar sensor towards the drone, eventually improving tracking accuracy thanks to the higher number of detections achieved in this manner. In this paper we also explore different motion patterns for the turret, comparing them on the field to track a drone using the built lidar-turret system.

关键词： Laser radar Accuracy Uncertainty Tracking Focusing Robot sensing systems Real-time systems Hardware Optimization Drones

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Guest Editorial: Special issue on computational methods and artificial intelligence applications in low-carbon energy systems

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IET Renewable Power Generation 2024年第3期18卷 303-305页

作者： Wang, Yishen Zhou, Fei Guerrero, Josep M. Baker, Kyri Chen, Yize Wang, Hao Xu, Bolun Xu, Qianwen Zhu, Hong Agwan, Utkarsha State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd. Beijing China Department of Energy Technology Aalborg University Aalborg Denmark Department of Civil Environmental and Architectural Engineering University of Colorado-Boulder BoulderCO United States Guangzhou China Department of Data Science and AI Monash University ClaytonVIC Australia Department of Earth and Environmental Engineering Columbia University New YorkNY United States Electric Power and Energy Systems Division KTH Royal Institute of Technology Stockholm Sweden State Grid Jiangsu Electric Power Co. Ltd. Nanjing China Department of Electrical Engineering and Computer Sciences University of California - Berkeley BerkeleyCA United States

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Parameter Optimization and Model Validation of Quanser AERO using Modelica and RaPId

Parameter Optimization and Model Validation of Quanser AERO ...

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2021 AIAA/IEEE Electric Aircraft Technologies Symposium, EATS 2021

作者： Segerstrom, Eric Podlaski, Meaghan Khare, Abhijit Vanfretti, Luigi Rensselaer Polytechnic Institute Department of ElectricalComputerand Systems Engineering TroyNY12180 United States

ISBN: (纸本)9781624106118

This paper presents an overview of the process for optimizing key electrical, mechanical, and aerodynamical parameters of a multi-domain model of the Quanser AERO, a reconfigurable, benchtop, twin-rotor system using RaPId, an open-source, modular toolbox for model validation and parameter estimation in MATLAB and Simulink. A particle swarm optimization algorithm and a constrained nonlinear optimization algorithm are compared for their efficacy in optimizing the afformentioned parameters of the AERO model in an effort to more accurately model the behavior of the device. © 2021 AIAA.

关键词： Simulink

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Impact of Time-Varying Traffic Type on the Performance of Multilayer Networks

Impact of Time-Varying Traffic Type on the Performance of Mu...

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International Conference on Network and Service Management

作者： Aleksandra Knapińska Piotr Lechowicz Krzysztof Walkowiak Department of Systems and Computer Networks Wrocław University of Science and Technology Wrocław Poland Department of Electrical Engineering Chalmers University of Technology Gothenburg Sweden

ISBN: (数字)9783903176669

ISBN: (纸本)9798331505158

Traffic in backbone networks is characterized by strong seasonality, with clear patterns visible in various services and applications based on their usage throughout the day. Data-driven networks can learn these patterns to manage resources more efficiently as they become increasingly saturated. In this paper, we explore the benefits of traffic prediction and grooming across different traffic patterns. To achieve this, we simulate network operations using uniform sets of time-varying connection requests, where all demands in a simulation share the same traffic pattern related to a specific network-based service or application. Our goal is to thoroughly evaluate the robustness of the proposed techniques across diverse scenarios. The results will facilitate the design of future application-aware algorithms for the most efficient handling of each traffic pattern.

关键词： Measurement Network topology Traffic control Nonhomogeneous media Prediction algorithms Robustness Topology Optimization

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Single Event Effects Testing for Integrated GaN Power Devices

Single Event Effects Testing for Integrated GaN Power Device...

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IEEE Workshop on Radiation Effects Data

作者： Summer Yang Ansel Barchowsky Gregory Allen Sergeh Vartanian Keyue Smedley Department of Electrical Engineering and Computer Science University of California Irvine USA Jet Propulsion Laboratory California Institute of Technology Pasadena USA

ISBN: (数字)9798350382075

ISBN: (纸本)9798350382082

GaN FETs can provide higher switching rates which can lead to smaller, lighter, faster and more responsive circuits; however, historically, GaN FETs have been considered too difficult to drive and many GaN parts have shown lower reliability compared to Si FETs. This has resulted in a limited number of GaN devices thoroughly tested for use in space environments. These drawbacks have meant that, when designing for space applications, most engineers have relied on MOSFETs. Two recent innovations have caused GaN FETs to be more attractive to designers: 1) process improvements that have increased reliability and 2) driver and FET integration that has reduced design complexities. With the reliability and design complexity concerns addressed, it has become pertinent to give GaN technology a closer look. To find out if a shift towards GaN technology is feasible for space applications, Single Event Effects Testing can give insight into how these devices will perform in higher radiation environments. To this end, four CoTS parts were taken to the 88-Inch Cyclotron at Lawrence Berkely National laboratory in July 2023 and tested for their susceptibility to single event gate rupture, latch-up and burnout. The data from testing is presented and analysis of data is given. Recommendations for further testing of similar integrated devices are provided.

关键词： Performance evaluation Technological innovation Radiation effects MOSFET Voltage Reliability engineering Silicon Complexity theory Testing Switching circuits

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Real-time Lightning 3D Imaging and Forecasting Project in Malaysia for Sustainable and Reliable Supply of Energy and Storm Disaster Early Warning 12

Real-time Lightning 3D Imaging and Forecasting Project in Ma...

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12th Asia-Pacific International Conference on Lightning, APL 2023

作者： Morimoto, Takeshi Ahmad, Mohd Riduan Baharuddin, Mohd Zafri Wang, Daohong Yamamoto, Kazuo Kudo, Takeshi Kahtani, Ammar Nasser Al Aziz, Mohamad Zoinol Abidin Abd Akita, Manabu Takayanagi, Yuji Kawasaki, Zen-Ichiro Torii, Tatsuo Kindai University Depertment of Electrical Electronic and Communication Engineering Osaka Japan Melaka Malaysia Universiti Tenaga Nasional Department of Electrical and Electronic Engineering Kajang Malaysia Gifu University Department of Electrical Electronic and Computer Engineering Gifu Japan Chubu University Deptment. of Electrical and Electronic Engineering Aichi Japan Fundamental and Advanced Research Group Otowa Electric Co. Ltd Hyogo Japan Universiti Tenaga Nasional Department of Electrical and Electronics Engineering Kajang Malaysia The University of Electro-Communications Department of Mechanical and Intelligent Systems Engineering Tokyo Japan Osaka University Osaka Japan Research Institute of Nuclear Engineering University of Fukui Fukui Japan

ISBN: (纸本)9781665456852

A joint research project 'real-time lightning 3D imaging and forecasting project for sustainable and reliable supply of energy and storm disaster early warning' has been selected for Science and Technology Research Partnership for Sustainable Development (SATREPS) program. Held in the coastal area of the Straits of Malacca in Malaysia, which suffers from serious lightning disasters with more than 200 lightning days per year, this research aims to contribute to disaster prevention by forecasting lightning strikes by constructing the world's highest lightning observation network. This research project is to conduct the field campaigns associated with artificial rocket-triggered lightning in the coastal area of the Straits of Malacca, where the thunderstorm activity is very high and there are many positive cloud-to-ground flashes that may damage electric, communication and other equipments. Measurements of radio waves in various frequency bands and high-energy radiations, and several Rogowski coils are set up surrounding the strike points. It is planned to realize an electromagnetic field observation network in VHF and LF bands to observe the entire progression of each lightning in detail in a wide area. 3D charge distribution in the thundercloud and the amounts of neutralized charges estimated from the information where the lightning discharge begins, how it progresses, and where it terminates. Then, it is examined by the lightning current waveform measured directly with the high structure and rocket-triggered lightning. By comprehensively grasping the charge behavior in the air related to lightning discharge, it is possible to estimate the charge distribution in the cloud and to predict lightning strike. In addition, promoting the control of electric power equipment using IoT, and the early warning system of severe weather disasters to be implemented in the society. This project further researches on active and adaptive lightning resistance and protection as well as

关键词： Imaging systems

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