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DD-MLFMA-slotFFT Framework for the Electromagnetic Solution of Mounted Finite Periodic Structures

DD-MLFMA-slotFFT Framework for the Electromagnetic Solution ...

引用

International conference on Electromagnetics in advanced applications (ICEAA)

作者： Victor F. Martin Alberto Serna Luis Landesa Fernando Obelleiro Marta G. Araujo Francesca Vipiana Jose M. Taboada University of Extremadura Caceres Spain University of Vigo Vigo Spain Politecnico di Torino Turin Italy

ISBN: (数字)9798350360974

ISBN: (纸本)9798350360981

The interest in the electromagnetic behavior of periodic structures has significantly increased due to their crucial role in advancing cutting-edge applications in nanoscale and metasurface devices in scattering networks, plasmonic crystals, and nanophotonics. The rise of these technologies makes the improvement of the state-of-the-art methods in computational electromagnetics for the efficient solution of these kind of periodic structures even more crucial than ever. Traditional approaches predominantly centered on methods tailored for infinite periodic structures based on Floquet’s theorem and the Ewald transformation. However, although these methods have been demonstrated as powerful tools in the design process, they are not suitable for integration with other systems and sensors due to the limitation of infinite periodic structures or the accurate modeling of complex physical phenomena like edge effects and standing waves, vital phenomena for certain applications.

关键词： Nanophotonics Electromagnetic scattering Crystals sensor phenomena and characterization sensor systems and applications Plasmons Metasurfaces Nanoscale devices Electromagnetics Periodic structures

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A Survey on Failure Prediction in Large-scale Computing systems 23

A Survey on Failure Prediction in Large-scale Computing Syst...

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23rd IEEE International conference on High Performance Computing and Communications, 7th IEEE International conference on Data Science and systems, 19th IEEE International conference on Smart City and 7th IEEE International conference on Dependability in sensor, Cloud and Big Data systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Xia, Fei Song, Hu Yan, Long-Chuan Li, Yan Wang, Li-Jun State Grid Jiangsu Electric Power Co. Ltd. Information & Telecommunication Branch Nanjing China State Grid Information & Telecommunication Branch Beijing China State Grid Electric Power Research Institute Nanjing China

ISBN: (纸本)9781665494571

With the development of many data-intensive applications, large-scale systems have been widely used to solve advanced computation problems. As the increasing growth of complexity and scale, these systems are more likely to confront failure. Since remedial measures for failure take huge cost and effort at today's large-scale systems, fault tolerance which aims to decrease the impacts of fault on systems has become a necessity instead of an option. As one of the key techniques of fault tolerance, failure prediction has made itself an increasing important issue to improve the resource efficiency and the availability of systems. Over the past few years, a multitude of innovative failure prediction approaches has emerged such as mathematical and statistical modeling, machine learning techniques and so forth. Unfortunately, they are currently so poorly classified that it is difficult to figure out the wide spectrum of methods concerning with this area. To this end, we provide an extensive and comprehensive survey of existing research work in the area of failure prediction via exploring and analyzing over 20 various approaches. Also, we develop our own taxonomy assisting in classifying methods, which makes it easier to understand and compare the pros and cons of these methods in respective category. © 2021 IEEE.

关键词： Fault tolerance Correlation Fault tolerant systems Taxonomy Neural networks Hidden Markov models Probability

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SwarmCatcher: An AI-Powered Anti-Drone Surveillance System for Public Safety Over 5G and Beyond Ecosystems 28

SwarmCatcher: An AI-Powered Anti-Drone Surveillance System f...

引用

28th conference on Innovation in Clouds, Internet and Networks, ICIN 2025

作者： Kalafatidis, Sarantis Tsiktsiris, Dimitrios Trakos, Dimitrios Lalas, Antonios Votis, Konstantinos Tzovaras, Dimitrios Centre for Research and Technology Hellas Information Technologies Institute Greece

ISBN: (纸本)9798331542399

The proliferation of unmanned aerial vehicles (UAVs) presents significant challenges to public safety and critical infrastructure protection. This paper introduces SwarmCatcher, an innovative AI-powered anti-drone and surveillance system designed to detect and classify UAV threats in real-time. SwarmCatcher integrates multi-sensor technologies, including optical, thermal, RF, and acoustic systems, with advanced AI algorithms to provide thorough situational awareness. Utilizing the low-latency, high-throughput capabilities of cloud-native architecture and 5G networks, the system supports scalable deployment across diverse environments, offering rapid threat mitigation. Real trials were conducted, utilizing 5G infrastructures in the FIDAL and CERTH testbeds, evaluating and demonstrating SwarmCatcher’s potential to address the requirements of public safety agencies and pave the way for integration with 6G networks. The paper investigates SwarmCatcher’s architecture, key performance metrics, and its role in advancing next-generation vertical-specific applications for public safety. © 2025 IEEE.

关键词： 5G mobile communication systems

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Image classification through scattering media using Optronic convolutional neural networks

Image classification through scattering media using Optronic...

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2022 conference on Infrared, Millimeter, Terahertz Waves and applications, IMT 2022

作者： Huang, Zicheng Gu, Ziyu Gao, Yesheng State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781510662476

Object classification behind a complex inhomogenous medium remains a significant challenge in many fields. Valid information is hardly extracted from speckles owing to the distortion of scattering media. Recent years deep learning has shown powerful capability in classifying object from scattered speckle patterns. However, large-scale computations and pure digital procedures set a challenging task for deep neural networks running in optics. Here, we present an optronic technique for object classification through random diffuser media. A group of fourier lens and a programmable spatial light modulator, form an optronic convolutional neural networks(OPCNN) with optimized kernels. The CMOS camera not only works as an image detection sensor but a non-linear activation layer by the curve built-in. We demonstrated the technique classification result using the airy disk intensity of every candidate channel. The trained OPCNN shows high-quality object predictions on the speckle patterns. Our work paves the way to an all-optical approach for imaging through scattering media. © 2023 SPIE.

关键词： Convolution

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2022 International conference on Electromagnetics in advanced applications, ICEAA 2022

2022 International Conference on Electromagnetics in Advance...

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23rd International conference on Electromagnetics in advanced applications, ICEAA 2022

ISBN: (纸本)9781665481113

The proceedings contain 145 papers. The topics discussed include: efficient broadband modeling of microwave devices with machine learning and analytical extension of eigenvalues;influence of antenna systems with metamaterial screens composition and geometric parameters on mutual coupling between antennas;wave-particle interactions in earth outer radiation zone;phaseless bi-spherical near-field measurement;spherical near field to far field transformation algorithm for offset-mounted antennas on metallic ground;a joint magnetoelectric sensor and human head model for biomagnetic simulation;a novel time-domain asymptotic solution for a backward transient scattered electric field by a coated metal cylinder;machine-learning for optimization of electrodes and waveforms for electroporation;the tunable single-/narrow-band terahertz metamaterial absorber through photoconductivity;and radiofrequency wave absorption in a graded-index GNP-treated cancer cell substrate inserted in a waveguide.

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Exploring advanced Techniques for Security Testing of sensor Device Chips

Exploring Advanced Techniques for Security Testing of Sensor...

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International conference on Inventive Computing and Informatics (ICICI)

作者： Suye Li Jinan Vocational College Jinan China

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

This study explores advanced techniques for security testing of sensor device chips, critical components in embedded systems and the Internet of Things (IoT). The study emphasizes comprehensive considerations including power management, communication protocol compatibility, and software/hardware interface stability. A review of existing literature highlights significant contributions to improving chip security, multi-factor authentication, data encryption, and intelligent security mechanisms. The proposed methodology focuses on improving hardware security, implementing multi-factor authentication, data encryption, and integrating intelligent security mechanisms for future sensor device chips. Detailed test procedures for sensor device chips are presented, including light source testing, position sensor chip testing, and monitoring system testing. The results contribute to the ongoing development of secure and efficient sensor device chips that are essential for various IoT applications.

关键词： Multi-factor authentication Protocols Embedded systems Reviews Power system management Hardware security Stability analysis

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RSM-PA:Research on Route Selection Method of Inter-domain Routing System Based on Path Availability 23

RSM-PA:Research on Route Selection Method of Inter-domain Ro...

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作者： Zhu, Huihu Qiu, Han Zhu, Junhu Wang, Qingxian State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665494571

The inter-domain routing system is the key infrastructure of the Internet. However, BGP does not consider the link state in the routing selection process. As a result, when the inter-domain routing system faces security incidents such as disasters and attacks, it is easy to cause the continuous propagation of link failures, resulting in a large-scale network disconnection and posing a considerable threat to the security of the Internet. The previous research mainly aims to enhance the protocol's safety, cannot change the original failure propagation mechanism, and cannot fundamentally solve cascading failure propagation. In response to this problem, this paper introduces SDN and proposes RSM-PA. This method perceives the available path topology by sharing the link state information in the region, provides a verification mechanism for the availability of the route in the routing process to avoid the link failure in the region due to overload. The comparison of routing results before and after the link state changes under the same experimental conditions shows that RSM-PA can effectively adjust the routing strategy according to the path availability, and lay a solid foundation for suppressing the propagation of cascading failures. © 2021 IEEE.

关键词： Network topology Heuristic algorithms Power system protection Routing Real-time systems Routing protocols Internet

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Airspace Geofencing Volume Sizing with an advanced Air Mobility Vehicle Performance Model 41

Airspace Geofencing Volume Sizing with an Advanced Air Mobil...

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41st IEEE/AIAA Digital Avionics systems conference, DASC 2022

作者： Kim, Joseph Liberko, Nicholas Atkins, Ella University of Michigan Robotics Institute United States Collins Aerospace Mission Systems University of Michigan Aiaa Fellow Aerospace Engineering Department and Robotics Department United States

ISBN: (数字)9781665486071

ISBN: (纸本)9781665486071

Airspace geofencing is a key enabler for versatile and safe low-altitude Unmanned Aircraft System (UAS) Traffic Management (UTM). Geofenced airspace volume sizing analysis is necessary to assure efficiency and safety for a broad suite of emerging UAS applications. Airspace safety buffer sizes can be determined and verified by modeling vehicle dynamics as well as quantifying guidance, navigation and control uncertainties. This paper proposes a methodology to design safety buffer sizes given specific vehicle and sensor properties and wind. These parameters are then translated to geofence safety buffer dimensions for straight and turning flight to statistically guarantee an aircraft will stay inside its flight trajectory based keep-in geofence. Vehicle, sensor, and wind parameters are tabulated and analyzed over a prescribed flight trajectory using a Computational Fluid Dynamics (CFD) analysis. Case studies using a small UAS model and a full-size advanced air mobility (AAM) aircraft model provide comparison of geofence volume sizings. © 2022 IEEE.

关键词： Air mobility

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Finite Element Analysis Study of FBG Magnetostrictive Composite Flux sensor Geometry for Electric Motor Air-gap Flux Monitoring 11

Finite Element Analysis Study of FBG Magnetostrictive Compos...

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11th Mediterranean conference on Embedded Computing (MECO) / 3rd Summer School on Cyber-Physical + systems and Internet of Things (CPS and IoT)

作者： Suryandi, Asep Andi Tuohy, Paul Djurovic, Sinisa Univ Manchester PTIP TIRBR Natl Res & Innovat Agcy BRIN Dept Elect & Elect Engn Manchester Lancs England Univ Manchester Dept Elect & Elect Engn Manchester Lancs England

ISBN: (纸本)9781665468282

With the progressively more prominent usage of electric motors in a wide range of applications, more advanced monitoring of their operating parameters is becoming increasingly important. The in-service observation of the airgap magnetic flux can be very useful for monitoring the status of permanent magnets, which are key to most modern motors' performance. This was recently shown to be possible through the in-situ application of magnetostrictive composite fibre optic flux sensors. This paper reports an electromagnetic finite element model study exploring the performance of various such sensor configurations and positions in the air-gap of a commercial motor design. The aim of the model study is to identify sensor design and positioning features that can yield an enhanced response in observation of rotor flux. It is shown that rectangular cross-sectional flux sensor geometries provide a considerable advantage in this respect.

关键词： PM motors Finite Element Analysis FBG sensor permanent magnets magnetostrictive composite material terfenol-D powder

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System Architecture for a Wireless sensor Network for Sustainable Agriculture, Forestry and Green Spaces in Smart Cities

System Architecture for a Wireless Sensor Network for Sustai...

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IEEE International Workshop on Intelligent Data Acquisition and advanced Computing systems: Technology and applications

作者： Sebastian Rosewick Felix Schorlemer Frank Kunemund Department of Computer Science Fachhochschule Dortmund

This paper presents a wireless sensor network employing heterogeneous mobile robot platforms designed for data-acquisition and research in agriculture, forestry and green spaces in smart cities. Where conventional sensor networks struggle with a lack in flexibility, little variation in their reading points and no possibilities in mobile manipulation, this approach offers new capabilities in accomplishing complex tasks in outdoor and indoor scenarios. A wheel driven robot platform in combination with multiple UAVs 1 1 Unmanned Aerial Vehicle forms the basis for the mobile sensor network which can make use of a wide variety of sensors and actuators. The system benefits from new developments in controlling multi-agent systems as well as machine-learning-algorithms for local and independent data-analysis.

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