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advanced Autonomous Navigation Technologies for UAVs: Challenges and Opportunities

Advanced Autonomous Navigation Technologies for UAVs: Challe...

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Innovative Research in Applied Science, Engineering and Technology (IRASET),conference on

作者： Issam Senhaji-Mouhaddib Samir Bouzakri Ismail Lagrat Lab of Advanced Systems Engineering Ibn Tofail University ENSA Kenitra Morocco

ISBN: (数字)9798350309508

ISBN: (纸本)9798350309515

The utilization of Unmanned Aerial Vehicles (UAVs) has revolutionized numerous industries, with navigation being a crucial factor in ensuring their operational success. This literature review examines the subject of UAV navigation, discussing fundamental concepts, GPS-denied challenges, and cutting-edge technologies. The review commences with an explanation of the basic principles of UAV navigation, including the employment of IMUs, GPS, LiDAR, and Stereo Vision systems. A dedicated section then delves into the challenges posed by GPS-denied environments, emphasizing the importance of GPS in navigation and exploring alternative approaches. The subsequent sections investigate advanced navigation technologies, such as INS/IMU, Multi-sensor Fusion, and AI applications. These innovative research areas cover enhancements to sensors, the development of hybrid navigation systems, deep learning for sensor fusion, and other related topics. The conclusion emphasizes the transformative potential of emerging technologies, providing a roadmap for researchers and practitioners. The identified research directions aim to address current limitations and develop next-generation UAV navigation systems capable of precise navigation in complex and challenging environments.

关键词： Technological innovation Navigation Reviews Collaboration sensor fusion Autonomous aerial vehicles sensor systems

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High-sensitive Flexible Temperature sensor with PEDOT:PSS Composites and PI Substrate for Human Body Monitoring 17

High-sensitive Flexible Temperature Sensor with PEDOT:PSS Co...

引用

17th IEEE International conference on Nano/Micro Engineered and Molecular systems, NEMS 2022

作者： Zhu, Zhengfang Su, Yi Chen, Jing Li, Lin Wang, Lei Li, Hui Chinese Academy of Sciences Shenzhen Institute of Advanced Technology Shenzhen518055 China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Cas Key Laboratory for Health Informatics Shenzhen518055 China

ISBN: (纸本)9781665483018

Flexible temperature sensors have been studied for a long time and their performance has been improving. However, their sensitivity, response and recovery speed, reproducibility, consistency and other properties need to be further optimized and balanced for being better and more widely used in life. In this study, we report a resistive-type temperature sensor that was fabricated using a composite of poly(3,4-ethylenedioxythiophene)-poly(styrene sulfonate)/ single-wall carbon nanotubes/ reduced graphene oxide (PEDOT:PSS/SWCNTs/rGO) on the polyimide (PI) substrate by rapid vacuum suction filtration and spin-coating method. This sensor exhibits a high thermal sensitivity with -0.33 % -1 temperature coefficient of resistance (TCR) between 30 and 45 . Furthermore, it shows fast response and recovery speed and excellent reproducibility. As demonstration, the temperature sensor was applied in monitoring daily life sensations, such as exhaling, finger touching and the temperature change of the body skin surface. The flexible temperature sensor shows great potential in towards various applications, such as electronic skins, robot sensors, human-machine interface, and environmental temperature measurement. © 2022 IEEE.

关键词： Temperature sensors

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Design and Implementation of Monitoring System for New Energy Data Call Based on Blockchain 23

Design and Implementation of Monitoring System for New Energ...

引用

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： Liu, Ziang Huang, Yuanyuan Zhou, Qiang Zhang, Yingli Zhou, Xiaokang Zhou, Rui School of Information Science and Engineering Lanzhou University Lanzhou China State Grid Gansu Electric Power Research Institute Lanzhou China Shiga University Faculty of Data Science Hikone Japan Riken Center for Advanced Intelligence Project Tokyo Japan

ISBN: (纸本)9781665494571

With the energy revolution starting the third transformation to new energy, new energy has become essential for human energy. In order to better organize and utilize new energy, more and more research is committed to predicting the power generation capacity of new energy through the power generation data collected by intelligent systems to make better use of new energy. However, with the increase of new energy digital platforms and supporting infrastructure improvement, the distribution and management of relevant data also begin to face significant challenges. New energy data faces a substantial potential threat in distributing and using data to various digital platforms. Based on this, this paper designs and implements a new energy data call monitoring system based on blockchain to ensure the security of new energy data by tracking data operation information. © 2021 IEEE.

关键词： Smart cities Consensus algorithm Machine learning Blockchains Safety Recording Intelligent systems

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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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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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Design and Analysis of Hybrid Inset Feed and Probe Feed Microstrip Patch Antenna Array for Sub-6GHz applications 7

Design and Analysis of Hybrid Inset Feed and Probe Feed Micr...

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7th IEEE conference on Information and Communication Technology, CICT 2023

作者： Gupta, Aditya Singh, Amit K. Jharia, Bhavna Jabalpur Engineering College Department of Electronics and Communication Engineering Jabalpur India Indian Institute of Technology Patna Department of Electrical Engineering Patna India

ISBN: (纸本)9798350305173

This research work presents the design and comparative analysis of the performance of a hybrid feed 64 elements low-profile rectangular microstrip patch antenna (RMPA) array on a low-cost FR-4 substrate of thickness 1.6mm to achieve high gain and directivity at 3.5 GHz frequency. At Sub-6 GHz band a single RMPA, 2×2, 4×4, and 8×8 array is designed, and a T-junction equal power splitting power divider is used to feed the array network. The overall size of the proposed 8×8 array is 550×550×1.6mm3 and it achieves the highest gain among all also achieves a directivity of 25.01 dBi, outperforming 2×2, 4×4 arrays, and an RMPA. The hybrid feeding mechanism, which includes inset feeding and probe feeding was found to achieve a wider bandwidth and a more uniform radiation pattern, making it a promising option for advanced antenna arrays. On analyzing the proposed arrays in terms of reflection coefficient, VSWR, gain, directivity, and radiation patterns, it was found that the gain and directivity increased and side lobe levels (SLL) decreased with the increasing number of elements in the array. This study's results can guide the design and optimization of RMPAs for various applications in wireless communication systems such as satellite communication, wireless sensor networks, and radar systems. © 2023 IEEE.

关键词： Feeding

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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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