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2nd International conference on Optical Communication and Optical Information Processing, OCOIP 2024

作者： Gao, Yuda Luo, Yanhua Institute of Fiber Optics Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai200444 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

sensors based on optical fiber interference structures offer benefits such as high sensitivity, simple fabrication and good compatibility, and are widely used in fields like biological monitoring, chemical engineering, and environmental monitoring. However, these sensors often face unavoidable cross-sensitivity issues between temperature and refractive index. Therefore, developing a new optical fiber refractive index sensor that is insensitive to temperature and has a broad refractive index measurement range remains a significant research issue. In this work, proposing a temperature-insensitive refractive index sensor featuring a two-stage Fabry-Perot (F-P) cavity made from single-mode fiber (SMF), capillary fiber (CF), and no core fiber (NCF) based on the principle of mode interference. The research experimentally investigates the sensor's sensitivity to temperature and refractive index. Results indicate that the sensor's amplitude correlates linearly with the refractive index in both optical and Fourier domains, covering a refractive index range of 1.3164 to 1.4215. In the Fourier domains, sensitivities of - 0.7184/refractive index unit (RIU) and - 0.2672/RIU are recorded at two distinct positions, respectively. A direct relationship between the amplitude and the refractive index is established. Additionally, the proposed sensor is almost insensitive to temperature in both the wavelength and Fourier domains. At the same time, experimental validation using water, ethanol, isopropanol, and glycerin solutions with varying refractive indexes, yielding results that align well with the established refractive index relationship. © 2025 SPIE.

关键词： Fabry-Perot interferometers

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Cartilage-Inspired Multidirectional Strain sensor with High Elasticity and Anisotropy Based on Segmented Embedded Strategy

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advanced FUNCTIONAL MATERIALS 2024年第7期34卷 2307313-2307313页

作者： Jiang, Haocheng Jiang, Saihua Chen, Guohua Lan, Yang South China Univ Technol Inst Safety Sci & Engn Sch Mech & Automot Engn Guangzhou 510641 Peoples R China South China Univ Technol Guangdong Prov Key Lab Tech & Equipment Macromol A Guangzhou 510641 Peoples R China UCL Dept Chem Engn London WC1E 7JE England

Flexible, stretchable, and sensitive multidirectional sensing systems that can decouple different mechanical inputs and identify multidirectional signals are crucial for dynamic human signal perception and intelligent human-computer interaction. Most reported multidirectional sensors are suitable for discriminating in-plane deformation directions, and the sensing materials are difficult to balance between stretchability and mechanical strength. Here, a segmented embedded structure strategy inspired by the interlaced structure of cartilage is proposed. This strategy combines soft and hard materials in a topological and zipper-shear chain manner and balances the performance of reinforced composites with flexibility and high toughness. In the case of segmented embedded hydrogels (SEHs), a wearable multidirectional sensing system that can decouple and identify planar strain/pressure is constructed. The multidirectional sensing system exploits the inherent anisotropy and layered structure design of composites to decouple the sensing functions. Supported by machine learning algorithms, the high accuracy demonstration of the multidirectional sensors in typical multidirectional motion joint posture monitoring and recognition confirms their potential in practical applications such as personal health sensing and human-computer interaction. Inspired by the mechanism of the natural biomaterial cartilage, the segmented embedded strategy, which combines soft and hard materials in a topological and zipper-shear chain manner, is designed to enhance the performance of polymers, and based on this strategy, wearable multidirectional sensing devices are ***

关键词： anisotropic flexible sensors hydrogel multidirectional mechanical strength

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Decoupled Unknown-Input Observer for Takagi-Sugeno systems: Application to Three Phase Interleaved Boost Converter 1

Decoupled Unknown-Input Observer for Takagi-Sugeno Systems: ...

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1st International conference on Engineering and advanced Technology, ICEEAT 2023

作者： Hamdi, Wail Hammoudi, Mohamed Yacine Okba, Salah Saadi, Ramzi Mohamed Khider University of Biskra Mse Laboratory Biskra Algeria

ISBN: (纸本)9798350383485

This paper presents the application of a Takagi-Sugeno based Decoupled Unknown-Input Observer for Three-Phase Interleaved Boost Converters for fuel cell applications. Harnessing the potential of a single sensor, the proposed methodology efficiently estimates all the remaining system states and the unknown input. This unique implementation of the Decoupled Unknown-Input Observer in the Interleaved Boost Converters ensures precise state estimation while effectively addressing system nonlinearities. Moreover, an observer based controller is implemented to regulate the DC-bus voltage converter, and its performance is confirmed through simulation test. The proposed work promises to enhance the reliability and cost-effectiveness of power conversion systems. © 2023 IEEE.

关键词： Cost effectiveness

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A Novel Machine Learning Strategy for Anomaly Identification Scheme in Wireless sensor Networks Using Supervised Training Principles 5

A Novel Machine Learning Strategy for Anomaly Identification...

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5th International conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Shifani, S. Agnes Mary, A. Antony Metilda, M.I. Mary Rajkumar, G. Vinoth Sutha, M.S. Maheshwari, S. Saveetha University Chennai

ISBN: (纸本)9798350379945

Anomaly detection in Wireless sensor Networks (WSN s) is critical for maintaining the integrity and reliability of various monitoring systems, especially in agricultural settings. The core of this study is the development of a hybrid anomaly detection model, SVM-RFNet, which integrates Support Vector Machines (SVM), Random Forests (RF), and Neural Networks (NN). By applying noise reduction techniques, such as smoothing algorithms, the data quality is significantly enhanced, resulting in cleaner and more stable datasets. Feature engineering, including temporal trend analysis and Principal Component Analysis (PCA), further refines the dataset by extracting and selecting the most informative features. This model combines the strengths of each method, leveraging SVM's robustness in high-dimensional data, RF's ensemble learning capabilities, and NN's ability to learn complex patterns. The SVM-RFNet model achieved an impressive accuracy of 96%, demonstrating its efficacy in real-time anomaly detection. The paper concludes with a discussion on future research directions, including the integration of advanced deep learning techniques and the development of self-healing networks, which promise to further enhance the capabilities and applications of WSN s in various domains. © 2024 IEEE.

关键词： Noise abatement

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Quasi-bound states in the continuum regulation and sensor design based on embedded square column all-dielectric metasurface

Quasi-bound states in the continuum regulation and sensor de...

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2024 Asia Communications and Photonics conference, ACP 2024 and International conference on Information Photonics and Optical Communications, IPOC 2024

作者： Gao, Ziang He, Yang xu, Zhengshan Zhao, Tonggang School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China

Generating polarization-independent quasi-bound states in the continuum (QBIC) using asymmetric metasurfaces with embedded square columns can achieve Q-factors up to 7144 and sensitivity of 280 nm/RIU, offering signif... 详细信息

ISBN: (纸本)9798350379266

关键词： Q factor measurement

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Development and Comparative Study of advanced Distributed Electronic Control System for Robotic applications

Development and Comparative Study of Advanced Distributed El...

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2023 International conference on Integrated Intelligence and Communication systems, ICIICS 2023

作者： Nair, Shashank Babu Patil, Sushma Mathurkar, Piyush Chippalkatti, Srinivas S. Vishwakarma Institute of Information Technology Electronics and Telecommunication Engineering Maharashtra Pune India Sharnbasva University Electrical and Electronics Engg Kalaburagi India Vishwakarma University Pune Engineering Sciences Maharashtra Pune India

ISBN: (纸本)9798350315455

This paper aims to thoroughly analyze and compare a project report on an advanced electronic control system for robotics with two related scholarly works. The primary focus is on identifying the commonalities and divergences, as well as the strengths and weaknesses of these methods. The paper being reviewed proposes a novel architecture for a control system that employs distributed electronics to enhance robot performance and functionality, detailing the design, implementation, and real-world application effectiveness. It covers key aspects like an electronic board designed for stepper motor control in a closed-loop system, communication protocols, sensor integration, and distributed computing. The review delves into the comparative analysis of control system architectures, communication methods, and implementation techniques across the three papers, shedding light on their potential impact in the field of robotics, and suggests areas for future research and improvements. © 2023 IEEE.

关键词： Distributed architecture Electronic control system Robotic applications

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A Compact Real-Time Thermal Imaging System Based on Heterogeneous System-on-Chip 30

A Compact Real-Time Thermal Imaging System Based on Heteroge...

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30th IEEE International conference on Embedded and Real-Time Computing systems and applications (RTCSA)

作者： Oh, Hyun Woo Choi, Cheol-Ho Cha, Jeong Woo Choi, Hyunmin Shin, Jung-Ho Han, Joon Hwan Hanwha Syst Infra Technol R&D Ctr Seongnam South Korea

ISBN: (纸本)9798350387964;9798350387957

This paper presents a real-time embedded thermal imaging system architecture for compact, energy-efficient, high-quality imaging utilizing heterogeneous system-on-chip (SoC) and uncooled infrared focal plane arrays (IRFPAs). Unlike previous systems that organized separate devices for complex image processing, our system provides integrated image processing support for robust sensor-to-surveillance. The image processing organizes two algorithm stacks: a non-uniformity correction stack to mitigate the distinctive noise vulnerabilities of uncooled IRFPAs, and an image enhancement stack including contrast enhancement and temporal noise filters. We optimized these algorithms for domain-specific factors, including asymmetric multiprocessing (AMP), cache organization, single instruction multiple data (SIMD) instructions, and very long instruction word (VLIW) architectures. The implementation on the TI TDA3x SoC demonstrates that our system can process 640x480, 60 frames per second (FPS) videos at a peak core load of 57.5% while consuming power less than 2.2 W for the entire system, denoting the possibility of processing the 1280x1024, 30 FPS videos from the cutting-edge uncooled IRFPAs. Additionally, our system improves power efficiency by 9.42% and 9.96% at 30 and 60 FPS, respectively, compared to the state-of-the-art when executing similar image processing algorithms.

关键词： Thermal Imaging Image Processing Heterogeneous Computing SIMD Real-Time Embedded systems

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vCLIC: Towards Fast Interrupt Handling in Virtualized RISC-V Mixed-criticality systems 42

vCLIC: Towards Fast Interrupt Handling in Virtualized RISC-V...

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42nd International conference on Computer Design

作者： Zelioli, Enrico Ottaviano, Alessandro Balas, Robert Wistoff, Nils Garofalo, Angelo Benini, Luca Swiss Fed Inst Technol IIS Zurich Switzerland Univ Bologna DEI Bologna Italy

ISBN: (纸本)9798350380415;9798350380408

The widespread diffusion of compute-intensive edgeAI workloads and the stringent demands of modern autonomous systems require advanced heterogeneous embedded architectures. Such architectures must support high-performance and reliable execution of parallel tasks with different levels of criticality. Hardware-assisted virtualization is crucial for isolating applications concurrently executing these tasks under real-time constraints, but interrupt virtualization poses challenges in ensuring transparency to virtual guests while maintaining real-time system features, such as interrupt vectoring, nesting, and tail-chaining. Despite its rapid advancement to address virtualization needs for mixed-criticality systems, the RISC-V ecosystem still lacks interrupt controllers with integrated virtualization and real-time features, currently relying on non-deterministic, bus-mediated message-signaled interrupts (MSIs) for virtualization. To overcome this limitation, we present the design, implementation, and in-system assessment of vCLIC, a virtualization extension to the RISC-V CLIC fast interrupt controller. Our approach achieves 20x interrupt latency speed-up over the software emulation required for handling non-virtualization-aware systems, reduces response latency by 15% compared to existing MSI-based approaches, and is free from interference from the system bus, at an area cost of just 8kGE when synthesized in an advanced 16nm FinFet technology.

关键词： Real-time Automotive Interrupt Virtualization RISC-V Predictability Mixed-Criticality System

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A Systematic Analysis of Research Trends on Network Control System in Wireless sensor Network 8

A Systematic Analysis of Research Trends on Network Control ...

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8th International conference on advanced Computing and Communication systems, ICACCS 2022

作者： Paul, Subhra Prosun Aggarwal, Shruti Chandigarh University Department of Computer Science and Engineering Punjab Gharuan India

ISBN: (纸本)9781665408165

In the present world, wireless sensor network-enabled network control system is performing a significant role in science, technology, and our day-to-day life. The Network control system in wireless sensor network has a great contribution in modern technology-oriented lifestyle and is bringing control to engineers in communicating network system through various applications. Though network control system is facing different challenges like latency, security, and multiple accesses, it is widely accepted for the successful communication and effective data transmission process. In this research paper, we are trying to explain generally the research aspect, trends, and variation of research directions through comparative analysis of existing research work and scientometric analysis on network control systems in the wireless sensor networks. With the help of the Scopus database and Web of Science database separately, some assessments were performed to analyze research data. From different experiments, it is noticed that network control systems can be applied in different fields like environment, agriculture, home applications, traffic control, health, aircraft, and motor control system using a wireless sensor networks. Observing in the last twenty years of research works in this field, we have found that network control system in wireless sensor networks is increasingly become a talented topic in the communication and networking field. © 2022 IEEE.

关键词： Database systems

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UNDERSTANDING IMPACTS OF ELECTROMAGNETIC SIGNAL INJECTION ATTACKS ON OBJECT DETECTION

UNDERSTANDING IMPACTS OF ELECTROMAGNETIC SIGNAL INJECTION AT...

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IEEE International conference on Multimedia and Expo (ICME)

作者： Zhang, Youqian Yang, Chunxi Fu, Eugene Y. Jiang, Qinhong Yan, Chen Chau, Sze-Yiu Ngai, Grace Leong, Hong-Va Luo, xiapu xu, Wenyuan Hong Kong Polytech Univ Hong Kong Peoples R China Zhejiang Univ Hangzhou Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9798350390155;9798350390162

Object detection can localize and identify objects in images, and it is extensively employed in critical multimedia applications such as security surveillance and autonomous driving. Despite the success of existing object detection models, they are often evaluated in ideal scenarios where captured images guarantee the accurate and complete representation of the detecting scenes. However, images captured by image sensors may be affected by different factors in real applications, including cyber-physical attacks. In particular, attackers can exploit hardware properties within the systems to inject electromagnetic interference so as to manipulate the images. Such attacks can cause noisy or incomplete information about the captured scene, leading to incorrect detection results, potentially granting attackers malicious control over critical functions of the systems. This paper presents a research work that comprehensively quantifies and analyzes the impacts of such attacks on state-of-the-art object detection models in practice. It also sheds light on the underlying reasons for the incorrect detection outcomes.

关键词： object detection image sensor electromagnetic interference signal injection attack

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