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18th ACM International conference on Distributed and Event-Based systems, DEBS 2024

作者： Norbisrath, Ulrich Machado, Renato Perotto Slavin, Anton Zorec, Matevz Borjan University of Tartu Tartu Estonia

ISBN: (纸本)9798400704437

This tutorial introduces participants to the fundamentals and advanced concepts of integrating sensor and actor systems within the Internet of Things (IoT) through hands-on experience with small, portable ad-hoc networks. We will learn to create and manage our own IoT networks by utilizing several ESP32 and ESP8266-based devices connected to various actors and sensors alongside easily configurable IoT edge network set-ups. We will orchestrate the systems using Node-RED for data flow and event-based integration. Simple dashboard and database connectivity options in Node-RED will help us build IoT applications and workflows without the complexity of traditional programming environments. © 2024 ACM.

关键词： Internet of things

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Toward All-Digital Time-Domain Neural Network Accelerators for In-sensor Processing applications 9

Toward All-Digital Time-Domain Neural Network Accelerators f...

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9th IEEE Nordic Circuits and systems conference (NorCAS)

作者： Mohey, Ahmed M. Kosunen, Marko Ryynanen, Jussi Andraud, Martin Aalto Univ Dept Elect & Nanoengn Espoo Finland

ISBN: (纸本)9798350337570

Deep Neural Network (DNN) accelerators are increasingly integrated into sensing applications, such as wearables and sensor networks, to provide advanced in-sensor processing capabilities. Given wearables' strict size and power requirements, minimizing the area and energy consumption of DNN accelerators is a critical concern. In that regard, computing DNN models in the time domain is a promising architecture, taking advantage of both technology scaling friendliness and efficiency. Yet, time-domain accelerators are typically not fully digital, limiting the full benefits of time-domain computation. In this work, we propose a time-domain multiply and accumulate (MAC) circuitry enabling an all-digital with a small size and low energy consumption to target in-sensor processing. The proposed MAC circuitry features a simple and efficient architecture without dependencies on analog non-idealities such as leakage and charge errors. It is implemented in 22nm FD-SOI technology, occupying 35 mu m x 35 mu m while supporting multi-bit inputs (8-bit) and weights (4-bit). The power dissipation is 46.61 mu W at 500MHz, and 20.58 mu W at 200MHz. Combining 32 MAC units achieves an average power efficiency, area efficiency and normalized efficiency of 0.45 TOPS/W and 75GOPS/mm(2), and 14.4 1b-TOPS/W.

关键词： Edge Computing Human Activity Recognition HAR Inertial Measurement Unit IMU In-sensor Processing Multiply-and-Accumulate MAC Neural Network Accelerator Smart sensor Interface Time-Domain Signal Processing

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An In-Depth Review of Molecularly Imprinted Electrochemical sensors as an Innovative Analytical Tool in Water Quality Monitoring: Architecture, Principles, Fabrication, and applications

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MICROMACHINES 2025年第3期16卷 251-251页

作者： Mukendi, Mbuyamba Divin Salami, Oluseyi Sikiru Mketo, Nomvano Univ South Africa Coll Sci Engn & Technol CSET Dept Chem Florida PkCorner Christian Wet & Pioneer Ave ZA-1709 Florida South Africa

Molecularly imprinted electrochemical sensors (MI-ECSs) are a significant advancement in analytical techniques, especially for water quality monitoring (WQM). These sensors utilize molecular imprinting to create polymer matrices that exhibit high specificity and affinity for target analytes. MI-ECSs integrate molecularly imprinted polymers (MIPs) with electrochemical transducers (ECTs), enabling the selective recognition and quantification of contaminants. Their design features template-shaped cavities in the polymer that mimic the functional groups, shapes, and sizes of target analytes, resulting in enhanced binding interactions and improved sensor performance in complex water environments. The fabrication of MI-ECSs involves selecting suitable monomeric units (monomers) and crosslinkers, using a target analyte as a template, polymerizing, and then removing the template to expose the imprinted sites. advanced methodologies, such as electropolymerization and surface imprinting, are used to enhance their sensitivity and reproducibility. MI-ECSs offer considerable benefits, including high selectivity, low detection limits, rapid response times, and the potential for miniaturization and portability. They effectively assess and detect contaminants, like (toxic) heavy metals (HMs), pesticides, pharmaceuticals, and pathogens, in water systems. Their ability for real-time monitoring makes them essential for ensuring water safety and adhering to regulations. This paper reviews the architecture, principles, and fabrication processes of MI-ECSs as innovative strategies in WQM and their application in detecting emerging contaminants and toxicants (ECs and Ts) across various matrices. These ECs and Ts include organic, inorganic, and biological contaminants, which are mainly anthropogenic in origin and have the potential to pollute water systems. Regarding this, ongoing advancements in MI-ECS technology are expected to further enhance the analytical capabilities and performances

关键词： MIPs electrochemical sensors analytical tool WQM architecture principles fabrication applications

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ROS Powered Autonomous Mobile Robot for Indoor applications

ROS Powered Autonomous Mobile Robot for Indoor Applications

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2024 International conference on Intelligent Algorithms for Computational Intelligence systems, IACIS 2024

作者： Madan, H.T. Mahesh, L. Sajjad, Mohammed Nitte India Reva University School of Electronics and Communication Engineering Bangalore India

ISBN: (纸本)9798350360660

In the realm of indoor robotics, navigation poses a critical challenge across service robots, humanoids, and warehouse automation. Existing techniques like line following, RFID tracking, and Aruco marker-based systems exhibit limitations in autonomy and adaptability. This has created a need for the development of an advanced and sophisticated autonomous navigation system that encompasses self-reliant perception, planning, and control capabilities. The proposed system makes use of LiDAR technology for mapping and Robot operating system for planning and control which takes place on Jetson Nano GPU platform, providing real-time processing power for environmental data. LiDAR sensors offer accurate environmental perception, obstacle detection, and adaptability to dynamic indoor settings. The system employs BLDC wheels and an aluminium base for versatility, supporting loads up to 120 kg. Additionally, it incorporates an IMU sensor with EKF sensor fusion for accurately estimating the robot's position. This flexible design has applications in various indoor robotics scenarios, ranging from complex service tasks to efficient warehouse operations. This versatile design finds applications in various indoor robotics scenarios, from complex service tasks to efficient warehouse operations. © 2024 IEEE.

关键词： Robot programming

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Existing Devices in Wrist Rehabilitation Robotics: Mechanical Design, Control systems, and User Requirements for Commercialization 20

Existing Devices in Wrist Rehabilitation Robotics: Mechanica...

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20th IEEE/ASME International conference on Mechatronic and Embedded systems and applications (MESA)

作者： Pippo, Irene Massone, Valentina Guazzotti, Marco Gnetti, Benedetta Albanese, Giulia A. Casadio, Maura Berselli, Giovanni Zenzeri, Jacopo ReWing Srl Milan Italy Univ Genoa DIME Genoa Italy Univ Genoa DIBRIS Genoa Italy Fdn Don C Gnocchi La Spezia La Spezia Italy

ISBN: (纸本)9798331516246;9798331516239

Recently, rehabilitation robotics has demonstrated the ability to improve the methodologies significantly. Robotic devices can provide accuracy, repeatability, high-dose and task-specific training, and real-time feedback. These features are essential in rehabilitation, focusing on the upper limb and the wrist, as a joint needed to perform most activities of daily living (ADLs) and thus crucial to maintaining a high quality of life. This is particularly important considering the demand for effective rehabilitation solutions due to frequent motor impairments related to neurological or orthopedic issues. This review focuses on robotic devices for wrist rehabilitation, exploring their characteristics with an eye toward significant and appealing features for commercialization. We explored relevant features of these devices such as a robust and human-centered mechanical design, an appropriate actuation system, and an advanced sensor network integrated with a sophisticated control architecture to monitor and optimize human-machine interactions. We considered usability factors as ergonomics, ease of use, and adaptability to the needs of different users, for clinical applications and broad market adoption. This work reviews existing robotic devices for wrist rehabilitation, comparing their key features to evaluate the current state of the field. It aims to identify which devices best meet the necessary criteria and highlight issues that still require further engineering research.

关键词： robotic device upper limb rehabilitation wrist mechatronic design

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Integration of MoS2 Memtransistor Devices and Analogue Circuits for sensor Fusion in Autonomous Vehicle Target Localization

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ACS NANO 2024年第21期18卷 13652-13661页

作者： Tan, Tian Guo, Haoyue Li, Yida Wang, Yafei Cai, Weiwei Bao, Wenzhong Zhou, Peng Feng, xuewei ShaoXin Chip Lab Shaoxing 312000 Peoples R China Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200240 Peoples R China Southern Univ Sci & Technol Sch Microelect Shenzhen 518055 Peoples R China Fudan Univ Sch Microelect Shanghai 200433 Peoples R China

In contemporary autonomous driving systems relying on sensor fusion, traditional digital processors encounter challenges associated with analogue-to-digital conversion and iterative vector-matrix operations, which are encumbered by limitations in terms of response time and energy consumption. In this study, we present an analogue Kalman filter circuit based on molybdenum disulfide (MoS2) memtransistor, designed to accelerate sensor fusion for precise localization in autonomous vehicle applications. The nonvolatile memory characteristics of the memtransistor allow for the storage of a fixed Kalman gain, which eliminates the data convergence and thus accelerates the processing speeds. Additionally, the modulation of multiple conductance states by the gate terminal enables fast adaptability to diverse autonomous driving scenarios by tuning multiple Kalman filter gains. Our proposed analogue Kalman filter circuit accurately estimates the position coordinates of target vehicles by fusing sensor data from light detection and ranging (LiDAR), millimeter-wave radar (Radar), and camera, and it successfully solves real-word problems in a signal-free crossroad intersection. Notably, our system achieves a 1000-fold improvement in energy efficiency compared to that of digital circuits. This work underscores the viability of a memtransistor for achieving fast, energy-efficient real-time sensing, and continuous signal processing in advanced sensor fusion technology.

关键词： memtransistor molybdenum sulfide Kalman filter sensor fusion autonomous driving

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A Modular sensor Fusion and Quality-Driven sensor Selection Algorithm for UAV Navigation 20th

A Modular Sensor Fusion and Quality-Driven Sensor Selection ...

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20th International conference on Intelligent Computing (ICIC)

作者： Chen, Hainuo Ni, xuebin Gao, Ming Ma, Hui Zhang, Chen Yunsheng Intelligent Technol Co Ltd Tianjin 300457 Peoples R China Tianjin Univ Sci & Technol Tianjin 300457 Peoples R China

ISBN: (纸本)9789819755936;9789819755943

Unmanned Aerial Vehicles (UAVs) are increasingly integrated in various applications. The urgent need for accurate navigation algorithms is emphasized in various applications. In this paper, we propose an integrated framework focusing on robust attitude and position/velocity estimation for UAV navigation using Kalman filtering employing Kalman filtering (KF) technique and chi-square test based sensor fusion quality assessment. Our approach integrates sensor data through a filter-based approach, and Kalman filter handles attitude estimation and position/velocity estimation. The modal architecture enhances robustness and facilitates seamless integration of multiple sensors while prioritizing reduced attitude estimation and position/velocity estimation. Accurate attitude estimation is also prioritized to reduce the risk in case of deviation. Accurate attitude estimation is also prioritized to reduce the risk of deviation in case of higher order state estimators. Experimental validation on the "SHENG PROUAV" model proves the effectiveness of our framework and demonstrates accurate attitude estimation results.

关键词： Integrated Navigation systems Modular sensor Fusion Kalman Filters Fault Detection

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Research on fault detection method of aerial sensor based on neural network

Research on fault detection method of aerial sensor based on...

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2024 International conference on Physics, Photonics, and Optical Engineering, ICPPOE 2024

作者： Fan, xianming Li, xiaolei xue, Weijian Li, Siyuan Wei, Zhe State Grid Jinan Power Supply Company Shandong Jinan250000 China State Grid Shandong Electric Extrahigh Voltage Company Shandong Jinan250000 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

This research addresses the critical need for reliable sensor systems in the aviation industry and the challenges associated with timely and accurate fault detection. We propose a novel method for enhancing fault detection in aviation sensors using advanced neural network architectures. Our methodology involves a comprehensive exploration of neural network models tailored to the characteristics of aviation sensor data. Experiments, conducted with a meticulously designed dataset, quantitatively evaluate the proposed approach using established performance metrics. The results unequivocally demonstrate the effectiveness of our neural network-based method in detecting and diagnosing sensor faults, showcasing its potential to significantly improve the reliability of aviation systems. In conclusion, this study contributes to aviation safety by presenting an innovative method for sensor fault detection, underscoring the applicability and effectiveness of neural networks in addressing challenges associated with sensor reliability. Future prospects involve refining the model, exploring real-time implementation possibilities, and extending the methodology to diverse sensor types, providing valuable insights for advancing the state-of-the-art in aviation sensor fault detection and enhancing the safety and performance of aircraft systems. © 2025 SPIE.

关键词： Aircraft detection

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Design, Fabrication and Calibration of an Embroidery Textile Tactile sensor Array 25th

Design, Fabrication and Calibration of an Embroidery Text...

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25th Annual conference on Towards Autonomous Robotic systems, TAROS 2024

作者： Hou, Ningzhe Pontin, Marco Costi, Leone Maiolino, Perla Oxford Robotics Institute University of Oxford Oxford United Kingdom University of Genoa Liguria Genoa Italy

ISBN: (纸本)9783031720581

This paper presents the development and evaluation of an embroidery textile tactile sensor, designed for advanced pressure mapping applications. Utilizing a unique embroidery technique with conductive threads and incorporating a Velostat piezoresistive layer, the sensor array is configured in an 8×8 grid, offering multiple contact detection over large areas. The sensor’s performance is validated through several experiments, including quasi-static loading and pressure mapping with various weights and hand gestures. This research proposes a flexible, scalable solution for tactile sensing that is both cost-effective and high-performing. The findings indicate significant potential for the sensor in real-world applications, promising advancements in how tactile information is captured and utilized. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Mapping

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Vector displacement sensor based on femtosecond laser direct writing gratings and waveguides in a seven-core fiber

Vector displacement sensor based on femtosecond laser direct...

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2023 advanced Fiber Laser conference, AFL 2023

作者： Fan, Yu Bao, Weijia Liao, Changrui Wang, Yiping Shenzhen University Shenzhen518060 China Shenzhen Key Laboratory of Ultrafast Laser Micro/Nano Manufacturing Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Shenzhen518107 China

ISBN: (纸本)9781510677661

A novel vector displacement sensor based on femtosecond laser direct writing gratings and waveguides in a seven-core fiber was proposed. Avoiding the use of fan-in and fan-out devices, such a vector displacement sensor realized a highly integrated structure. The displacement sensitivity, displacement resolution and directional accuracy of the proposed sensor were 0.28 nm/mm, 0.01 mm, and © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Fiber Bragg gratings

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