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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications XI"

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Machine Learning-Based sensor Synchronization for Enhanced Spatial Awareness in Assistive Technologies

Machine Learning-Based Sensor Synchronization for Enhanced S...

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2024 IEEE International conference on Intelligent systems and advanced applications, ICISAA 2024

作者： Patel, Iftekar Kulkarni, Makarand Mehendale, Ninad Somaiya Vidyavihar University K. J. Somaiya College of Engineering Mumbai400077 India

ISBN: (纸本)9798331539948

Enhancing spatial awareness for the visually impaired is crucial for autonomy and mobility. Our research addresses this by proposing a novel approach to sensor data synchronization for assistive technologies, re-framing the challenge as a forecasting task suitable for machine learning solutions. We developed a hard hat assembly equipped with 2D LiDAR, dual 1D LiDARs, and a depth camera to create comprehensive spatial awareness for navigation. By applying various machine learning algorithms to predict 2D LiDAR readings from higher frequency 1D LiDAR data, we aimed to overcome conventional synchronization limitations. Our investigation revealed that while linear models and some non-linear approaches were inadequate, the Generalized Auto-regressive Conditional Heteroskedasticity (GARCH) model showed promise in capturing short-term volatility. Our findings contribute to assistive technologies by introducing a machine learning paradigm for sensor synchronization, potentially improving spatial awareness systems' accuracy and reliability. This system has the potential to significantly enhance navigation for the visually impaired, fostering greater independence and safety. © 2024 IEEE.

关键词： Adversarial machine learning

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MSE-LVIO: Multi-Modal Semantic-Enhanced LiDAR-Visual-Inertial Odometry in Dynamic Traffic Scenes 27

MSE-LVIO: Multi-Modal Semantic-Enhanced LiDAR-Visual-Inertia...

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27th IEEE International conference on Intelligent Transportation systems, ITSC 2024

作者： Wang, Dan Zhu, Ziyu Hai, Renwei Shen, Yanqing xin, Jingmin Zheng, Nanning National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Shaanxi Xi'an710049 China

ISBN: (纸本)9798331505929

Reliable localization and mapping are the key technologies for autonomous driving. In complex and dynamic traffic scenarios, a single sensor cannot provide sufficient information to achieve reliable and accurate Simultaneous Localization and Mapping (SLAM). Therefore, more and more multi-sensor fusion SLAM works have emerged. However, previous multi-sensor fusion SLAM systems mainly utilize geometric information, but not fully leverage semantic information, which plays a crucial role in understanding complex scenes. This paper proposes a semantic-enhanced LiDAR-Visual-Inertial Odometry system named MSE-LVIO, which utilizes the spatial consistency between image semantic segmentation and point cloud clustering to construct a semantic map integrating object attributes, dynamic, and static information. By fully leveraging semantic and object information, real-time dynamic obstacle filtering can be achieved during the front-end registration phase. Our method has been validated in the Carla simulation environment, KITTI raw dataset, and M2DGR dataset. The results show that our approach performs better in dynamic scenes. © 2024 IEEE.

关键词： Mapping

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Electrohydrodynamic Printing of Conductive Microstrips on Hyperelastic Substrates for Fabrication of Flexible and Stretchable sensors 6

Electrohydrodynamic Printing of Conductive Microstrips on Hy...

引用

International conference on Flexible and Printable sensors and systems (FLEPS)

作者： Philippin, Nadine Kuehne, Ingo Schrag, Gabriele Heilbronn Univ Appl Sci Kuenzelsau BW Germany Tech Univ Munich Professorship Microsensors & Actuators Munich BY Germany

ISBN: (纸本)9798350383270;9798350383263

Recently, sensors are subjected to a vast transformation process from planar and rigid devices towards flexible or rather stretchable versions. This can be traced back to a continuous development of novel functional materials and the enhancement of various fabrication techniques. Thus, entirely new sensor designs and applications can be realized. In the present paper, electrohydrodynamic (EHD) printing as advanced non-contact printing technology is utilized for patterning of conductive microstrips serving as stretchable sensor elements. As printing medium particle-based silver inks with particle diameters in the range of 50nm and 1 mu m are used. In contrast to the most commonly applied substrate materials for flexible printed sensors, e.g. polydimethylsiloxane (PDMS), hyperelastic and shape-adjustable thermoplastic polyurethane (TPU) with a thickness of 100 mu m is applied within this work. In addition to straight conductive silver lines more complex geometries such as meanders with improved stress-strain characteristics are realized. With respect to the antagonistic material behavior of TPU and the silver inks as well as their processability, EHD printing represents a promising fabrication technique for future stretchable sensors.

关键词： electrohydrodynamic printing hyperelastic sensor material thermoplastic polyurethane

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advanced IoT-Based Wireless sensors for Remote Geotechnical Monitoring and Structural Diagnostics 18

Advanced IoT-Based Wireless Sensors for Remote Geotechnical ...

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18th IFAC conference on Programmable Devices and Embedded systems (PDES)

作者： Pies, Martin Velicka, Jan Hajovsky, Radovan VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Dept Cybernet & Biomed Engn 17 Listopadu 15 Ostrava Czech Republic

This paper presents an innovative design and implementation of a wireless sensor module using low-power Internet of Things (IoT) technologies for applications in geotechnical engineering and structural diagnostics, with a main focus on monitoring rock formations below the water surface in areas without access to electrical power. Designed for continuous monitoring of linear displacements and other critical parameters in structural engineering, geotechnical engineering and engineering diagnostics, this sensor module is particularly useful in remote locations. Utilizing wireless data transmission and advanced IoT technologies such as LoRa, IQRF and NB-IoT, this system allows for flexible coverage options and efficient remote management. The system allows users to remotely change measurement parameters, the period of messaging and set thresholds for alarm activation. The study highlights the importance of innovative IoT solutions to improve accuracy and efficiency in monitoring geotechnical and civil engineering structures, especially in challenging sub-surface environments, opening new opportunities for predictive maintenance and risk management in these specific applications. Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Multi sensor systems Networks of sensors and actuators Measurement and instrumentation IoT sensor Networks Geotechnical Monitoring Wireless Data Transmission Underwater Rock Formations Remote Energy-independent systems

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Edge Intelligence-Based E-Health Wireless sensor Network systems 23

Edge Intelligence-Based E-Health Wireless Sensor Network Sys...

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23rd IEEE/ACIS International conference on Computer and Information Science, ICIS 2023

作者： Hu, Bintao Isaac, Matilda Abdul Majeed, Anwar P.P. Liu, Hengyan School of Internet of Things Xi'an Jiaotong-Liverpool University Suzhou China School of Robotics Xi'an Jiaotong-Liverpool University Suzhou China School of Ai and Advanced Computing Xi'an Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9798350345841

In order to support delay-sensitive applications of healthcare internet of things (HIoT) network systems, it is necessary to allow e-health wearable devices to process their computational applications at an artificial intelligence (AI) based mobile edge computing (MEC) server. Existing works mainly focused on optimising the offloading decisions of all users while minimising their corresponding energy consumption and/or transmission/processing delays. However, the huge data volumes offloading and/or privacy-preserving data processing have been largely ignored. In this paper, we consider an edge intelligence-based e-health wireless sensor network system, where the queues at the MEC server follow M/M/1 queueing model. To minimise energy consumption among all e-health wearable devices, we propose to jointly optimise the FL model task offloading decisions of all e-health wearable devices while guaranteeing delay constraints (which include the transmission delay, queueing delay and processing delay) and global/local FL training accuracy. This is achieved by devising an FL-based edge intelligence queueing offloading decision optimisation algorithm. Simulation results demonstrate that our proposed algorithm achieves a much lower maximum service delay than the benchmarks. © 2023 IEEE.

关键词： Energy utilization

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Development of a Bionic Metastructure and Its Coupling to sensor Fusion

Development of a Bionic Metastructure and Its Coupling to Se...

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International conference on Intelligent Manufacturing and Robotics, ICIMR 2023

作者： Chen, Wei Lu, Qifeng Gu, Lingdan Qin, Jiangyi Xi’an Jiaotong-Liverpool University Suzhou215123 China Military Academy of Science Beijing100000 China

ISBN: (纸本)9789819984978

advanced sensor fusion coupled with bionic metastructure has seen various applications due to its capability of maintaining system’s natural virgin state. This study aims to develop a bionic metastructure with rock morphology, and to further embed the sensor fusion into the metastructure. A three-dimensional chiral lattice-based metastructure is proposed to be fused into a natural rock morphology. Finite element modelling of the metastructure is to be conducted to significantly enhance its structural strength and impact absorption performance. sensor fusion is to be performed to derive a conformal design by embedding IMU, acoustic, TMR, and associated periphery electronics system into the developed metastructure. Computational electromagnetics simulation and computational fluid dynamics are both used to evaluate the electronics system’s signal interference and heat dissipation performance. The developed bionic metastructure with sensing capability can be utilised in various industries, including mineral processing and environmental engineering. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Computational fluid dynamics

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A Passive Optical sensor with Wide Measurement Range for Magnetic Field Perception 14

A Passive Optical Sensor with Wide Measurement Range for Mag...

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14th International conference on the Properties and applications of Dielectric Materials, ICPADM 2024

作者： Meng, Xuan Zhang, Jia-Wei Lu, Long Zhang, Bin Belhora, Fouad Abdelowahed, Hajjaji School of Electrical Engineering Xi'an University of Technology Xi'an China Ordos Branch of Beijing Jingneng Power Co. Ltd. Ordos China School of Mechanical Electrical and Information Engineering Shandong University Weihai China El Jadida Morocco

ISBN: (纸本)9798350374605

As digitalization and intelligence of power system advance leap by bounds, the demand of massive deployment of sensors for cooperative sensing and accurate measure have emerged. However, the existing electrical sensors are constrained accounts for the substandard requirements of low carbon environment, the complicated power supply and the limited terminal size. Passive detection of magnetic field, which combines magnetostrictive materials and optical sensing technology, is a feasible strategy to address the issue of limited battery lifetime and monitor the electromagnetic status. Thus, we present a fiber optic magnetic field sensor (MFS) operate on the principle of Fabry-Perot (F-P) interference. The results show that the high sensitivity and wider measurement range from 0 to 100 mT could be obtained. The proposed MFS with passive, anti-electromagnetic interference characteristics is a developing trend and future direction to realize panoptic perception of smart grids. © 2024 IEEE.

关键词： Fabry-Perot interferometers

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Empowering Resource-efficient MoE Co-Adaptation for Multi-Task Vision systems 24

Empowering Resource-efficient MoE Co-Adaptation for Multi-Ta...

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22nd ACM conference on Embedded Networked sensor systems, SenSys 2024

作者： Wang, Lehao Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9798400706974

Mobile and IoT vision applications increasingly utilize multitask deep learning (DL) models for real-time inference. The integration of Mixture of Experts (MoE) and Vision Transformers (ViTs) is particularly effective due to the task-agnostic backbone and scalable task-specific heads. However, data drift in open-world environments can lead to accuracy drops and safety risks, as observed in systems like Google Waymo One and NVIDIA NoTraffic. We present AdaSprite to integrate ViT-based MoE co-adaptation into resource-limited IoT systems, first addressing the expert dynamic sparsity during retraining as an opportunity in multi-task settings through cross-task collaboration in computation, I/O, and resource scheduling. Implemented as microservices, AdaSprite improves adaptation accuracy by 34.5% and latency by 77.1%, outperforming baselines across four practical scenarios. © 2024 Copyright is held by the owner/author(s).

关键词： Deep learning

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BLDC Motor Trapezoidal Regulation Using Hall Effect sensor

BLDC Motor Trapezoidal Regulation Using Hall Effect Sensor

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2024 IEEE International conference on Intelligent systems and advanced applications, ICISAA 2024

作者： Bhatiya, Hansa Patil, Dushyant Makune, Shriram Kadam, Swaraj Mahajan, Vishal Vaidya, Harshal Dr. D. Y. Patil Institute of Technology Department of Electrical Engineering Pimpri Pune India R. C. Patel College of Polytechnic Department of Electrical Engineering India Marathwada Mitramandal's IoT Lohgaon Department of Engineering Science Pune India

ISBN: (纸本)9798331539948

BLDC motors provide excellent performance, durability, and efficiency, making them ideal for a variety of applications. The motor was operated by means of the six-step commutation process of the trapezoidal control approach, which was applied to the exact rotor position data obtained via Hall effect sensors. This approach perfectly times the commutation sequence, reducing torque ripple and improving motor performance. The design, modeling, and experimental findings validated the effectiveness of the proposed control technique, suggesting that it can be used to maximize BLDC motor performance in commercial and industrial applications. © 2024 IEEE.

关键词： Hall effect transducers

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Sub-bin histogram peak detection for the direct time-of-flight SPAD-based laser ranging systems with millimeter range precision 8

Sub-bin histogram peak detection for the direct time-of-flig...

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8th International conference on Speckle Metrology, Speckle 2023

作者： Ma, Ning He, Mengfan Zhao, Juan Hangzhou Parity Microelectronics Co. Ltd Hangzhou310051 China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China

ISBN: (数字)9781510674592

ISBN: (纸本)9781510674585

Direct time-of-flight (dToF) Lidar system based on single photon avalanche diode (SPAD) sensor plays a key role in the range finding applications because of its high sensitivity, low power consumption and high integrity. The travel time of photons backscattered from a distant target will be measured by the time-to digital-converters (TDC) to create a histogram whose peak location indicates the target distance. However, the bin width of histogram determined by the TDC's time resolution (LSB) limits the precision of distance measurement. Therefore, sub-bin interpolation methods are introduced to facilitate super precision on-chip distance estimation. The balance between the performance and algorithm complexity must be kept very carefully, to maintain acceptable circuit area occupied, the power consumption and yet not to severely degrade performance. In this paper, we present the experimental results obtained from single point Lidar system composing of the Hangzhou Parity's MPX102Q SPAD sensor as the receiver and a VCSEL pulse emitter as the transmitter. Several interpolation methods like the simple centroid or center-of-mass (CM) algorithm, and the gaussian mask centroid are applied to process raw histograms. The interpolation results of different algorithms are compared with the direct peak location method to examine their performance including distance resolution and ranging accuracy in different situations. Both sub-bin depth resolution, together with high precision and accuracy (mm level) covering a range up to 15m are achieved by this sensor containing integrated circuits for sub-bin interpolation, and this sensor is with potential to benefit the price-sensitive and power-constrained consumer products like sweeping robots. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Interpolation

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