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

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A Novel Robot Based Data Acquisition Methodology for Chipless RFID systems 13

A Novel Robot Based Data Acquisition Methodology for Chiples...

引用

13th IEEE International conference on RFID Technology and applications (IEEE RFID-TA)

作者： Rather, Nadeem Simorangkir, Roy B. V. B. O'Donnell, Cian Gawade, Dinesh R. Buckley, John L. O'Flynn, Brendan Tedesco, Salvatore Univ Coll Cork Tyndall Natl Inst Cork T12R5CP Ireland Tyndall Natl Inst Microelect Circuits Ctr Ireland MCCI Cork T12R5CP Ireland

ISBN: (纸本)9798350333534

In this paper, a novel automated data acquisition methodology is presented for chipless RFID systems. The proposed method utilises a Raspberry Pi to act as an interface between a vector network analyser and a universal arm robot to perform automated measurements. A 98% improvement in data acquisition time is achieved when compared to standard manual data collection methodology. The system is validated by collecting 9,600 radar cross section electromagnetic signatures from a 3-bit chipless RFID capacitive sensor tag for five different cases at four positions. By enabling large, efficient, and accurate data collection, this methodology can support the development of machine learning models that can improve the performance and functionality of chipless RFID technology.

关键词： Automation chipless RFID Data acquisition Electromagnetics Machine Learning RFID Robots

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Speed measurement of solar fed PMDC motor using photovoltaic module and hall effect sensor 8

Speed measurement of solar fed PMDC motor using photovoltaic...

引用

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

作者： Sanskriti Choudhary, Sheetal Shivani Yadav, Prem Prakash Electrical Engineering Delhi Technological University New Delhi India

ISBN: (纸本)9781665408165

This paper talks about the use of dc dc converter, namely boost converter in photovoltaic applications and further using the output voltage to run a PMDC motor and find its speed through a hall sensor. The paper starts with the importance of solar energy and then discusses the current energy crisis where we find that in India, the maximum amount of energy is produced through coal which has various disadvantages and is available in limited amounts. Therefore, there is a need to switch to renewable resources. Out of the renewable resources, solar energy is of prime concern. Solar energy can be primarily harnessed through PV arrays and to make it more efficient we incorporate a boost converter in it. This helps in tracking the optimal or the maximum power for the PV array, improves efficiency and allows constant stepped up voltage supply at different loads at the output. © 2022 IEEE.

关键词： Simulink

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2023 International Telecommunications conference, ITC-Egypt 2023

2023 International Telecommunications Conference, ITC-Egypt ...

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2023 International Telecommunications conference, ITC-Egypt 2023

ISBN: (纸本)9798350326062

The proceedings contain 137 papers. The topics discussed include: a compact petal shaped two-port MIMO antenna for quad-band millimeter wave 5G applications;human footsteps-based energy harvesting using piezoelectric elements;a sequence of circular slotted nonagon shape extended ultrawideband antenna for smart electronic systems using characteristic mode analysis;detecting dependent malicious nodes in multi-state target detection wireless sensor networks;gain enhancement of a miniaturized broadband patch antenna using a metamaterial superstrate for surveillance applications in aircraft;recent advances towards securing smart grids with blockchain;evaluating potential security risks of advanced metering infrastructure using EBIOS risk assessment method;an optimized radar sensors schedule using genetic algorithms;characteristics mode analysis based dual-port sub-6 GHz flexible antenna for surveillance applications;a thermostable frequency selective surface with both a low-pass and a wide shielding band;green computing and security practices for optimizing crawler efficiency;and compact triple-band millimeter wave flexible antenna for wearable applications.

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Sensitivity-enhanced fiber optic gyroscope for rotational seismology

Sensitivity-enhanced fiber optic gyroscope for rotational se...

引用

2023 advanced Fiber Laser conference, AFL 2023

作者： Wang, Wenbo Zhu, Lanxin He, Yan Chen, Yanjun Huang, Huimin Cao, xinyu Shi, Fangshuo Li, Zhengbin State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China

ISBN: (纸本)9781510677661

The measurement of rotational components in seismic waves holds significant importance in various fields, including seismic early warning, subsurface structure inversion, and the study of Earth's internal dynamic processes. The interferometric fiber optic gyroscope (IFOG) is a kind of sensor that measures the rotational velocity of an object based on the Sagnac effect. In this study, a synchronous four-state modulation scheme based on a light source sharing configuration is employed to suppress RIN. Moreover, this work extensively investigates the impact of shot noise and Johnson-Nyquist noise. By adjusting the modulation depths of the two minimum configurations, the influence of shot noise and Johnson-Nyquist noise is well-handled while achieving RIN suppression. Furthermore, this scheme avoids introducing any external feedback, thereby preventing a decrease in sensitivity caused by the dead zone issue. In a test on detecting the rotation rate of the Earth, a self-noise level of 55 nrad/s/Hz1/2 and an angular random walk of 1.5 × 10-4 deg/h1/2 are achieved with an enclosed area of only 25.5 m2. Compared to the minimum configuration using the conventional phase generated carrier algorithm, the scheme realizes a 20-fold reduction in self-noise and an 18-fold reduction in angular random walk. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Seismology

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Reinforcement Learning Application to Satellite Constellation sensor Tasking 5

Reinforcement Learning Application to Satellite Constellatio...

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conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations applications V

作者： Saeed, Amir Holguin, Francisco Gabriel, Jonathon Yasin, Alhassan S. Rodriguez, Benjamin M. Univ Maryland College Pk MD 20742 USA Johns Hopkins Whiting Sch Engn Engn Profess Baltimore MD 21218 USA

ISBN: (数字)9781510661936

ISBN: (纸本)9781510661929;9781510661936

Machine learning and artificial intelligence algorithms have expanded dramatically in use across diverse fields of research and practice. Despite the extensive benefits that these algorithms can bring to researchers, system designers, and operators alike, the adoption of these algorithms in space-related scenarios has lagged behind other fields. In order to encourage the increased adoption of artificial intelligence and machine learning techniques to space-domain-related problems, flexible modeling and simulation capabilities are needed to build stakeholder trust in these techniques. This research presents the development of a flexible Python-based modeling and simulation environment for applying Reinforcement Learning to Low Earth Orbit satellite Hyper Spectral Imaging sensor tasking. With the transition away from small numbers of highly exquisite on-orbit systems to proliferated architectures characterized by constellations of lower cost and complexity spacecraft, the methods by which payload sensors are tasked have become dynamic and complex, making the problem of determining effective sensor tasking methods an important area of research. Such a problem lends itself well to the application of Reinforcement Learning. The focus of this work is on developing the role of intelligent systems in improving the data acquisition process in a space-based hyperspectral imaging system, and showing how the developed modeling and simulation framework can be successfully employed to improve the acquisition of targets of interest. A key strength of the presented reinforcement learning application framework is its non-commercial, extensible nature, suitable for both research and educational purposes.

关键词： astrodynamics hyperspectral imaging python reinforcement learning

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61st ACM/IEEE Design Automation conference, DAC 2024

作者： Wang, Junyao Al Faruque, Mohammad Department of Computer Science University of California Irvine United States

ISBN: (纸本)9798400706011

Many real-world applications of the Internet of Things (IoT) employ machine learning (ML) algorithms to analyze time series information collected by interconnected sensors. However, distribution shift, a fundamental challenge in data-driven ML, arises when a model is deployed on a data distribution different from the training data and can substantially degrade model performance. Additionally, increasingly sophisticated deep neural networks (DNNs) are required to capture intricate spatial and temporal dependencies in multi-sensor time series data, often exceeding the capabilities of today's edge devices. In this paper, we propose SMORE, a novel resource-efficient domain adaptation (DA) algorithm for multi-sensor time series classification, leveraging the efficient and parallel operations of hyperdimensional computing. SMORE dynamically customizes test-time models with explicit consideration of the domain context of each sample to mitigate the negative impacts of domain shifts. Our evaluation on a variety of multi-sensor time series classification tasks shows that SMORE achieves on average 1.98% higher accuracy than state-of-the-art (SOTA) DNN-based DA algorithms with 18.81× faster training and 4.63× faster inference. © 2024 Copyright held by the owner/author(s).

关键词： Deep neural networks

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Distributed Fiber Optic sensors for applications in Electric Arc Furnaces 3

Distributed Fiber Optic Sensors for Applications in Electric...

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conference on Optical Waveguide and Laser sensors III

作者： Inalegwu, Ogbole C. Saha, Rony Kumer Mekala, Yeshwanth Reddy Mumtaz, Farhan O'Malley, Ronald J. Gerald, Rex E., II Huang, Jie Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA Missouri Univ Sci & Technol Dept Mat Sci & Engn Rolla MO 65409 USA Missouri Univ Sci & Technol Peaslee Steel Mfg Res Ctr PSMRC Rolla MO 65409 USA

ISBN: (纸本)9781510674073;9781510674066

This study presents the application of three distinct fiber optic sensor (FOS) technologies for temperature monitoring during Electric Arc Furnace (EAF) operations. This work looks into the application of fiber Bragg grating (FBG), Brillouin-based, and Rayleigh-based distributed FOS technologies. Through the deployment of these sensors in steel mills, we have successfully achieved distributed temperature monitoring within the bottom anode and side walls of the EAF. Our approach involves data collection from mock foundry trials and real-world EAF operations in a steel mill. The real-time temperature monitoring of the EAF's bottom anode provides insights for early detection of temperature anomalies in the refractory layer, while the monitoring of the side wall is primarily for pinpointing hotspots within the furnace wall for effective and efficient water-spray cooling. The integration of these advanced FOS technologies brings forth a transformative solution for the steel-making industry. By providing real-time, distributed temperature profiles and enabling proactive anomaly detection, our work contributes to enhanced operational efficiency and, more critically, improved safety in EAF facilities. This research not only showcases the potential of FOS applications but also demonstrates their ability to facilitate timely interventions in the high-temperature, high-stress environment of EAFs, ultimately bolstering overall steel production and safety standards in steel mills.

关键词： steel-making high-temperature electric arc furnace fiber optic sensors Rayleigh scattering Brillouin scattering fiber Bragg grating

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ICACNIS 2022 - 2022 International conference on advanced Creative Networks and Intelligent systems: Blockchain Technology, Intelligent systems, and the applications for Human Life, Proceeding

ICACNIS 2022 - 2022 International Conference on Advanced Cre...

引用

2022 International conference on advanced Creative Networks and Intelligent systems, ICACNIS 2022

ISBN: (纸本)9798350334449

The proceedings contain 29 papers. The topics discussed include: a review on blockchain applications in fintech ecosystem;implementation of backward key chain and hill cipher for securing messages in the wireless sensor networks;security system for digital land certificate based on blockchain and QR code validation in Indonesia;legal challenges facing blockchain-based peer-to-peer energy trading;applications of data analytics and machine learning for digital twin-based precision biodiversity: a review;collaborative filtering recommender system based on memory based in twitter using decision tree learning classification (case study: movie on Netflix);book recommender system using convolutional neural network;autoencoder image denoising to increase optical character recognition performance in text conversion;and data-driven shoreline change forecasting on Eretan beach using random forest.

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TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars 9

TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-L...

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9th ACM/IEEE conference on Internet of Things Design and Implementation (IoTDI)

作者： Ronco, Andrea Schilk, Philipp Magno, Michele Swiss Fed Inst Technol Ctr Project Based Learning D ITET Zurich Switzerland

ISBN: (纸本)9798350370256;9798350370263

Smart Internet of Things (IoT) devices are on the rise in popularity, with innovative use cases and applications emerging every year. Including intelligence in these novel systems presents the challenge of integrating interaction and communication in scenarios where traditional interfaces are not viable. Hand Gesture Recognition (HGR) has been proposed as an intuitive Human-Machine Interface, potentially suitable for controlling several classes of devices in the context of the Internet of Things. This paper proposes a low-power in-ear HGR system based on mm-wave radars, efficient spatial and temporal Convolutional Neural Networks and an energy-optimized hardware design. The design is suitable for battery-operated devices, with stringent size and energy constraints, enabling user interaction with wearable devices, but also suitable for home appliances and industrial applications. The proposed machine learning model is characterized thoroughly for robustness and generalization capabilities, achieving 94.9% (single subject) and 86.1% (Leave-One-Out Cross-validation) accuracy on a set of 11+1 gestures with a model size of only 36 MB and inference latency of 32.4 ms on a 64 MHz Cortex-M33 microcontroller, making it compatible with real-time applications. The system is demonstrated in a fully integrated, miniaturized in-ear device with a full-system average power consumption of 18.4 mW, a more than 6x improvement on the current stale of the art.

关键词： mm-wave radar gesture recognition low-power embedded sensor

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Photonic Crystal Fiber-based Temperature sensor 8

Photonic Crystal Fiber-based Temperature Sensor

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

作者： Shrivastava, Piyush Punia, Sushma Mittal, Shweta Saharia, Ankur Sharma, Tanvi Dyavangoudar, Amogh A Tiwari, Manish Manipal University Jaipur Ece Department Jaipur302004 India

ISBN: (纸本)9781665408165

This work reports a unique photonic crystal based temperature sensor. The modal analysis of photonic crystal fiber structure for the electric field distribution has been presented for x-polarization and Y-polarization. The coorelation analysis between the effective mode index and temperature has been investigated in the sensor using Comsol Multiphysics. The proposed sensor presents the the variation of temperature in the range of 20 degrees to 100 degree celcius which shows the variation of effective of mode index 1.273 to 1.276. The design includes the effective use of C2H5OH (ethyl alcohol or ethanol) as a analyzing medium for the sensing of temperature. The device present the fundamental concept of temperature sensing using photonic crystal fiber which can be employed for the further utilization in complex circuits for various application in Biophotonics, integrated optics etc. © 2022 IEEE.

关键词： Ethanol

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