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Recent Advances in sensor-Actuator Hybrid Soft systems: Core Advantages, Intelligent applications, and Future Perspectives

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advanced SCIENCE 2023年第35期10卷 e2302775页

作者： Han, Chankyu Jeong, Yongrok Ahn, Junseong Kim, Taehwan Choi, Jungrak Ha, Ji-Hwan Kim, Hyunjin Hwang, Soon Hyoung Jeon, Sohee Ahn, Jihyeon Hong, Jin Tae Kim, Jin Joo Jeong, Jun-Ho Park, Inkyu Korea Adv Inst Sci & Technol KAIST Dept Mech Engn Daejeon 34141 South Korea Korea Inst Machinery & Mat KIMM Dept Nano Mfg Technol Daejeon 34103 South Korea Korea Atom Energy Res Inst KAERI Radioisotope Res Div Daejeon 34057 South Korea

The growing demand for soft intelligent systems, which have the potential to be used in a variety of fields such as wearable technology and human-robot interaction systems, has spurred the development of advanced soft transducers. Among soft systems, sensor-actuator hybrid systems are considered the most promising due to their effective and efficient performance, resulting from the synergistic and complementary interaction between their sensor and actuator components. Recent research on integrated sensor and actuator systems has resulted in a range of conceptual and practical soft systems. This review article provides a comprehensive analysis of recent advances in sensor and actuator integrated systems, which are grouped into three categories based on their primary functions: i) actuator-assisted sensors for intelligent detection, ii) sensor-assisted actuators for intelligent movement, and iii) sensor-actuator interactive devices for a hybrid of intelligent detection and movement. In addition, several bottlenecks in current studies are discussed, and prospective outlooks, including potential applications, are presented. This categorization and analysis will pave the way for the advancement and commercialization of sensor and actuator-integrated systems. This review highlights the recently demanding soft sensor-actuator hybrid intelligent systems and groups based on their primary functions: i) actuator-assisted sensors for intelligent detection, ii) sensor-assisted actuators for intelligent movement, and iii) sensor-actuator interactive devices for hybrid of intelligent detection and movement. In addition, several bottlenecks are discussed, and prospective outlooks, including potential applications, are ***

关键词： integrated devices intelligent systems soft actuators soft sensors soft systems

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A Quantum-Cascade Laser based Cantilever-Enhanced photoacoustic sensor for simultaneous N2O and CO detection

A Quantum-Cascade Laser based Cantilever-Enhanced photoacous...

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2024 International Workshop on Quantum and Biomedical applications, Technologies, and sensors, Q-BATS 2024

作者： Pelini, Jacopo Russo, Stefano Dello Lopez Garcia, Inaki Galli, Iacopo Pastor, Pablo Cancio Canino, Marica Concetta Roncaglia, Alberto De Natale, Paolo de Cumis, Mario Siciliani Borri, Simone University of Naples"Federico II" Corso Umberto I 40 Napoli80138 Italy CNR-INO Istituto Nazionale di Ottica Largo E. Fermi 6 Firenze50125 Italy LENS via N. Carrara 1 50019 Italy ASI Agenzia Spaziale Italiana Centro di Geodesia Spaziale Località Terlecchia Matera75100 Italy Via P. Gobetti 101 Bologna40129 Italy

ISBN: (纸本)9798331516390

This work aims to develop a photoacoustic-based trace-gas sensor exploiting the sensitivity enhancement provided by a silicon-based cantilever as the acoustic-to-voltage transducer and by its coupling with a custom-made acoustic resonator and a medium-finesse Fabry-Pérot optical cavity. Thanks to the exploitation of a tunable continuous-wave mid-infrared Quantum Cascade Laser, our sensor can simultaneously address N2O and CO roto-vibrational transitions with a detection sensitivity at the part-per-billion level. ©2024 IEEE.

关键词： Nanocantilevers

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Zn doping and Mg doping manganese(ii)-based perovskites toward sensor, rewritable paper and anti-counterfeiting applications

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JOURNAL OF ALLOYS AND COMPOUNDS 2025年 1013卷

作者： Sun, Chun Cui, Jiazhi Zhao, Yiwei Deng, Zhihui Ding, Yelin Lian, Kai Zhao, Junhuan Zhai, Zhongjie Han, Jiachen Wang, Zhengtong Liu, Xiaohui Bi, Wengang Hebei Univ Technol State Key Lab Reliabil & Intelligence Elect Equipm 5340 Xiping Rd Tianjin 300401 Peoples R China Hebei Univ Technol Sch Elect & Informat Engn Tianjin Key Lab Elect Mat & Devices 5340 Xiping Rd Tianjin 300401 Peoples R China SMIC North Integrated Circuit Mfg Beijing Corp 18 Wenchang Ave Beijing Peoples R China Zhejiang Ruico Adv Mat Co Ltd 188 Liangshan Rd Huzhou 313018 Peoples R China Inner Mongolia Univ Sci & Technol Baotou Teachers Coll Key Lab Magnetism & Magnet Mat Autonomous Reg 3 Kexue Rd Baotou 014030 Peoples R China Chinese Univ Hong Kong Sch Sci & Engn Shenzhen 518172 Guangdong Peoples R China Shanxi Key Lab Adv Semicond Optoelect Devices & In Dept Clin Lab Jincheng 048000 Peoples R China

Environmentally friendly metal halides with reversible transformation of structure and luminescence properties have become a focal point of interest in the areas of anti-counterfeiting and sensors. Herein, Zn2 +-doped DMAMnBr3 and Mg2+-doped DMA2MnBr4 were successfully synthesized using the evaporation-crystallization method. After doping Zn2+ in DMAMnBr3, the photoluminescence quantum yield (PLQY) is enhanced from 18 % to 40%. For DMAMnBr3, the introduction of Zn2+ ions also accelerates the color-changing rate upon water absorption due to the tendency of Zn2+ to form tetrahedral structures. Besides, the DMAMn0.8Zn0.2Br3 exhibits excellent sensitivity. Hence, a temperature detection software is developed, which is capable of monitoring temperatures in the range of 323-403 K. For DMA2MnBr4, the incorporation of Mg2+ ions not only leads to the enhancement of PLQY but also reduction of melting temperature. The theoretical calculation indicates that the decrease in the melting point is caused by the reduction in lattice energy. Utilizing this characteristic, we produced rewritable paper with excellent reusability. Finally, anti-counterfeiting labels were created using both DMAMn0.8Zn0.2Br3 and DMA2Mn0.95Mg0.05Br4. The concealed information can be deciphered through straightforward heating. These results hold promise for extending the potential applications of manganese-based perovskite materials.

关键词： Manganese-based bromide Perovskite Doping Anti-counterfeiting Temperature detection

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Automotive Speed Estimation: sensor Types and Error Characteristics from OBD-ii to ADAS

arXiv

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arXiv 2024年

作者： Ragab, Hany Givigi, Sidney Noureldin, Aboelmagd Dept. of Electrical and Computer Engineering Queen’s University KingstonONK7L 3N9 Canada Lab The Royal Military College of Canada KingstonONK7K 7B4 Canada School of Computing Queen’s University KingstonONK7L2N8 Canada

Modern on-road navigation systems heavily depend on integrating speed measurements with inertial navigation systems (INS) and global navigation satellite systems (GNSS). Telemetry-based applications typically source speed data from the On-Board Diagnostic ii (OBD-ii) system. However, the method of deriving speed, as well as the types of sensors used to measure wheel speed, differs across vehicles. These differences result in varying error characteristics that must be accounted for in navigation and autonomy applications. This paper addresses this gap by examining the diverse speed-sensing technologies employed in standard automotive systems and alternative techniques used in advanced systems designed for higher levels of autonomy, such as advanced Driver Assistance systems (ADAS), Autonomous Driving (AD), or surveying applications. We propose a method to identify the type of speed sensor in a vehicle and present strategies for accurately modeling its error characteristics. To validate our approach, we collected and analyzed data from three long real road trajectories conducted in urban environments in Toronto and Kingston, Ontario, Canada. The results underscore the critical role of integrating multiple sensor modalities to achieve more accurate speed estimation, thus improving automotive navigation state estimation, particularly in GNSS-denied environments. © 2024, CC BY.

关键词： advanced driver assistance systems

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Enhancing Sustainability: Leveraging sensor Technology in Smart Bins for Real-Time Data Analysis 8th

Enhancing Sustainability: Leveraging Sensor Technology in Sm...

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8th International Conference on Smart City applications, SCA 2023

作者： Idrissi, A. Benabbou, R. Benhra, J. Haji, M. El University Hassan II Casablanca Morocco

ISBN: (纸本)9783031538230

The escalating challenges posed by urbanization and rapid population growth are exacerbating the global waste crisis. The World Health Organization underscores the risks of inadequate waste management, as it contributes to the spread of diseases. To address these multifaceted issues, our research is driven by two primary objectives. Firstly, we are dedicated to designing cutting-edge smart garbage bins equipped with nine sensors, including waste level sensors to monitor bin capacity, Humidity sensors to measure moisture content, Temperature sensors for climate insights, Carbon dioxide (CO2) sensors for air quality assessment, Methane (CH4) sensors to detect potential hazards, and ambient temperature sensors to gauge environmental conditions. Secondly, our research establishes a technological backbone for real-time monitoring and informed decision-making through the seamless integration of ThingSpeak and WiFi ESP8266 technologies. In addition, we will explore three usage scenarios for this intelligent waste bin. The initial scenario (Day 1) entails the collection of sensor data throughout the first day, with measurements taken every 15 min. The second scenario (Day 5) involves the collection of sensor data on the fifth day, also at a 15-min interval. Finally, the third scenario involves continuous monitoring of the smart bin over the course of one week. In essence, our research represents a pioneering effort to harness the potential of smart bins and advanced data analysis techniques. It aspires to revolutionize waste management by introducing data-driven approaches that promise not only to improve the efficiency of waste collection and treatment but also to advance the cause of cleaner, more sustainable urban environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Carbon dioxide

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A comparative study on deep learning models for condition monitoring of advanced reactor piping systems

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MECHANICAL systems AND SIGNAL PROCESSING 2024年 209卷

作者： Sandhu, Harleen Kaur Bodda, Saran Srikanth Yan, Erin Sabharwall, Piyush Gupta, Abhinav North Carolina State Univ Ctr Nucl Energy Facil & Struct Raleigh NC 27695 USA Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA Idaho Natl Lab Nucl Sci & Technol Directorate Idaho Falls ID 83415 USA

advanced nuclear reactors offer innovative applications due to their portability, reliability, resiliency, and high capacity factors. To operate them on a wider scale, reducing maintenance life -cycle costs while ensuring their integrity is essential. Autonomous operations in advanced nuclear reactors using augmented Digital Twin (DT) technology can serve as a cost-effective solution by increasing awareness about the system's health. A key component of nuclear DT frameworks is the condition monitoring of safety systems, such as piping -equipment systems, which involves acquiring and monitoring the plant's sensor data. This research proposes a condition monitoring methodology utilizing deep learning algorithms, such as multilayer perceptions (MLP) and convolutional neural networks (CNNs), to detect degradation and its severity in nuclear piping -equipment systems. sensor signals are processed to obtain the power spectral density and the Short -Time Fourier transform, and feature extraction methodologies are proposed to develop degradation -sensitive data repositories. The performance of MLP, onedimensional (1D) CNN, and 2D CNN within the proposed condition monitoring framework is compared using a finite element model of a 3D piping system subjected to seismic loads as the application case study. Various approaches, such as dropout, k -Fold validation, regularization, and early stopping of training the network, are investigated to avoid overfitting the models to the input sensor data. The predictive capability and computational capacity of the deep learning algorithms are also compared to detect degradation in the Z -pipe system of the Experimental Breeder Reactor ii (EBRii). The Z -pipe system is subjected to harmonic excitations that represent normal operating loads, such as pump -induced vibrations. The findings of the study indicate that the proposed artificial intelligence (AI) -driven condition monitoring framework demonstrates superior prediction accuracies wit

关键词： Condition monitoring Deep learning Convolutional neural networks Feature extraction Nuclear piping Degradation detection

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Visible Light Communication Based Positioning Using Color sensor 8

Visible Light Communication Based Positioning Using Color Se...

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8th Optoelectronics Global Conference, OGC 2023

作者： Ho, Siu-Wai Chen, Chung Shue University of Adelaide Teletraffic Research Centre AdelaideSA5005 Australia Paris-Saclay Nokia Bell Labs Massy91300 France

ISBN: (纸本)9798350325324

Based on light-emitting diode (LED) lighting and recent advances in visible light communication (VLC), we propose a new visible light-based localization scheme that uses a grid color-coding principle to develop a highly accurate localization system. By measuring the light received through the projected area on the color-coded film (for light filtering) and comparing it with a predefined color code, the system can determine the 2-dimensional position of the receiver relative to an LED, i.e., the reference point (RP). It is worth noting that the proposed solution has the following attractive features and differs from existing systems: (i) it uses only one photodiode (PD) on the user device for localization, and (ii) it can provide highly accurate indoor localization with centimeter resolution. Interesting applications include localization for unmanned ground vehicles (UGVs), advanced warehousing and logistics. Since PD or light sensor can have a response time of about 25 ms or even faster, one can also expect low latency in localization, which is especially suitable for supporting mobile users and new location-based services. Simulation results have shown that an average positioning error of less than 10 centimeters is achievable under suitable conditions. © 2023 IEEE.

关键词： Visible light communication

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Laser Ultrasonic Non-Destructive Testing for Aerospace applications 10

Laser Ultrasonic Non-Destructive Testing for Aerospace Appli...

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10th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2023

作者： Del Prete, Giuseppe Leone, Fabrizio Dentico, Valerio Gallo, Nicola Maio, Leandro Memmolo, Vittorio Vespini, Veronica Coppola, Sara Stella, Ettore Ferraro, Pietro University of Napels Federico II Napoli Leonardo S.p.A. - Divisione Aerostrutture Aerotech Academy Italy Strada per Monteiasi SP83 Leonardo S.p.A. - Divisione Aerostrutture TA Grottaglie74023 Italy University of Naples Federico II Department of Industrial Engineering Napoli Italy CNR-ISASI Institute of Applied Sciences and Intelligent Systems E. Caianiello Pozzuoli Italy CNR-STIIMA Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing Bari Italy

ISBN: (纸本)9781665456906

Non destructive inspection (NDI) is a widely used method for quality control and materials inspection across various industries, especially in the aerospace field where the introduction of composite materials has revolutionized inspection techniques. In addition, in-service ultrasonic inspection (UT) is also used for preventive maintenance purposes. One of the biggest challenges of such techniques is the need to use a coupling medium, which can often be a critical issue. For this reason, considerable effort has been made in the aerospace field in recent years to employ innovative techniques that do not require the use of coupling media. One of the proposed techniques is Laser Ultrasonic Non-Destructive Testing (LUNDT), which is recognized as a promising method due to its rapid scanning speed, non-contact inspection, coupling-agent independence, and ability to inspect complex shapes. Today, the primary focus is not on generating ultrasound in the material, but rather on how to receive and interpret it. In recent years, several companies have attempted to provide their own solutions in this field. In this study, the utilized solution is based on an all-optical akinetic sensor, which has demonstrated the most promising results. With this technology, we performed a series of analyses on aerospace components of interest, including those made of composite and metallic materials. © 2023 IEEE.

关键词： Preventive maintenance

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Development of Machine Intelligence for Self-Driving Vehicles Through Video Capturing

Development of Machine Intelligence for Self-Driving Vehicle...

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IEEE/ASME International Conference on Mechtronic and Embedded systems and applications, MESA

作者： Jordon Lowe Kaya Kuru School of Engineering and Computing University of Central Lancashire Preston UK

ISBN: (数字)9798331516239

ISBN: (纸本)9798331516246

The automation of vehicles is progressing through several automation levels, with the goal of reaching full autonomy, i.e. level 5, which involves no steering wheel, brakes, pedals, or windshield. This is achieved by the vehicle taking on an increasing number of autonomous decision-making tasks under the guidance of smart control systems that are instilled with Artificial Intelligence (AI) and equipped with advanced sensor and actuator technologies. Major vehicle companies are competing to build the most talented driver, i.e. AI-agent. In this report, how the intelligence of Self-Driving Vehicles (SDVs) is being built by the automotive industry for the efficient deployment of handover wheels is analysed and applications of machine intelligence for SDVs are implemented through video capturing using Deep Learning (DL). The results show that i) the use of DL techniques as well as reinforcement learning (RL) – Deep RL approaches – can contribute to the intelligence of SDVs significantly and ii) SDVs, equipped with advanced mechatronics systems, can be fully autonomous with the level-5 automation as they are trained appropriately with proper datasets.

关键词： Industries Automation Mechatronics Embedded systems Wheels Reinforcement learning Handover Artificial intelligence Machine intelligence Vehicles

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Toward optimal performance of systems for digital optical phase conjugation

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Physical Review Applied 2024年第1期21卷 014004-014004页

作者： Pidong Wang Senlin Jin Feng Huang Dong Li Kun Chen Mingle Liao Qian Li Yao Yao Microsystem and Terahertz Research Center China Academy of Engineering Physics Chengdu 610200 China Institute of Electronic Engineering China Academy of Engineering Physics Mianyang 621999 China Center for Advanced Measurement Science National Institute of Metrology Beijing 100029 China

Digital optical phase conjugation (DOPC) emerges as a promising technique for controllable optical delivery in strongly scattering media. Notably, due to the long-standing challenges in accurate alignment of the wave-front sensor and spatial light modulator (SLM), conventional DOPC systems heavily rely on digital calibration for misalignments between these two devices, which will significantly increase the pixel crosstalk of the SLM and thus degrade the performance of DOPC systems. To circumvent this digital calibration for mitigation of the pixel crosstalk, here we propose and demonstrate a real-space alignment scheme for DOPC systems based on single-pixel imaging, which enables precise alignment of the SLM and wave-front sensor: (i) with off-plane alignment precision of submillimeter and milliradian for axial and angular positions, respectively, and (ii) with in-plane pixel match at subpixel resolution. With additional efforts on fidelity optimization of optical phase-conjugation, deformations on the phase-conjugated wave front can almost be removed and the DOPC system would exhibit ultrahigh performance, with peak-to-background ratio (PBR) approaching the theoretical limit (more than 90%) in the time-reversed optical refocusing test. It can be anticipated that all DOPC-based applications will tremendously benefit from this near-theoretical-limit performance of optical phase conjugation for improved capacity and practical utility.

关键词： Interference & diffraction of light Random & disordered media Imaging & optical processing Light scattering

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