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

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Mm-wave near-field focused antenna array for chipless RFID detection

Mm-wave near-field focused antenna array for chipless RFID d...

引用

International conference on Electromagnetics in advanced applications (ICEAA)

作者： S. Rodini S. Genovesi G. Manara F. Costa Dipartimento di Ingegneria dell’Informazione Università di Pisa Pisa

ISBN: (数字)9798350360974

ISBN: (纸本)9798350360981

This work reports a focused antenna array that could allow for an accurate interrogation of passive sensors. In recent years, some passive sensors have been proposed [1, 2], however there are often problems reading these sensors due to interference with the surrounding environment. The proposed idea is therefore to focus the beam exclusively on the sensor. The reading system is formed by two cross-polarized near-field arrays which are able to concentrate the radiated fields in the area occupied by the sensor under test thus avoiding scattering from nearby objects with a consequent reduction of clutter. The proposed NF focused array is composed of 16x16 elements and it works around 20 GHz (λ equal to 15 mm). The array has a layered structure. There are two dielectric substrates (Itera MT40 material), the lower substrate has a thickness of 0.254 mm and the upper one 0.762 mm. The feeding network, which represents the bottom of the structure, is created on the first substrate. On the top of this substrate there is a perforated metal surface. Metallic rectangular patches are made on the top of the second substrate. Vias cross the entire structure to connect the feeding network with the patches.

关键词： Dielectric substrates Scattering Metals sensor systems sensors Noise measurement Electromagnetics Substrates sensor arrays Antenna arrays

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Characterisation of Magnetic sensors for Space applications – an NMI Perspective

Characterisation of Magnetic Sensors for Space Applications ...

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Magnetic conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Stuart Harmon Graeme Finch Adam Wilson National Physical Laboratory Teddington Middlesex UK

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

Accurate characterisation of magnetic sensors is required across a range of industrial applications. The National Physical Laboratory (NPL), as the UK's National Metrology Institute (NMI), maintains and disseminates measurement standards, with traceability to SI units, that provides characterisation of advanced magnetic sensors from nT-level to several T. Space missions can benefit from the increasing sensitivity and accuracy of magnetic sensors. To calibrate such sensors, a low magnetic noise environment and traceable measurement systems must be established. Both spacecraft design and in-flight operation must rigorously incorporate magnetic cleanliness and compensate for field fluctuations. To reduce measurement uncertainties and dependent sensor error budgets, a greater understanding of the magnetic environment becomes crucial. This presentation will describe the development of traceable measurements systems at NPL that enable the characterisation of these sensors at the nT level for space applications. These systems allow key parameters, such as gain, linearity, offset and noise to be determined, with specific attention given to the measurement of the temperature dependance of these key parameters, and recent developments for the orthogonality of small magnetometers in a fast and cost-efficient way.

关键词： Temperature measurement Temperature sensors Magnetic field measurement Accuracy Magnetometers Magnetic sensors sensor phenomena and characterization

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Deployment of sensor Node in Heterogeneous Network

Deployment of Sensor Node in Heterogeneous Network

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International conference on Parallel Distributed and Grid Computing (PDGC)

作者： Sandeep Sandeep Rishi Pal Singh CSE Department GJUS&T Hisar India

ISBN: (数字)9798331521349

ISBN: (纸本)9798331521356

The use of sensor nodes in heterogeneous networks marks a significant progress in the field of wireless sensor networks (WSNs), hence enhancing the adaptability and efficiency of the networks in various applications. This approach combines several sensor nodes into one network to offer thorough and strong data collecting. Every node has unique power needs, communication methods, and set of capabilities. Among the several significant applications—such as in smart cities, industrial automation, environmental monitoring, and healthcare—the main advantages are enhanced data accuracy, error resilience, and situational adaptation to new conditions. The areas of worry include assuring perfect compatibility, effective energy management, and safe data transport. Future research and development activities based on advanced technologies such 5G, machine learning, and artificial intelligence will mostly focus on enhancing the efficiency and efficacy of network deployment and operation. This will enable intelligent decision-making and real-time monitoring in environments limited resources.

关键词： Wireless sensor networks Smart cities Heuristic algorithms Surveillance Scalability Heterogeneous networks Real-time systems Security Research and development Resilience

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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791887059

The proceedings contain 912 papers. The topics discussed include: applicability of numerical simulation to the classification of fluid dynamic loss in aeroengine transmission gears;the development and use of a natural gas/oxygen burner rig for environmental barrier coating and ceramic matrix composite technology maturation;development of innovative low NOx hydrogen-fueled burner for aeronautic applications;analysis of different emission metrics for power generation machinery in flexible co-generation energy systems;development of a turbocharger speed sensor using fiber optic coupled optical method;advanced polytropic efficiency and H-S diagram application;compressor design for compact, highspeed electric motors;laser welding in steam turbine rotor recondition;structural characterization of a rapid-prototyped inlet particle separator model for aerodynamic lab testing;supercritical carbon dioxide shock behavior near the critical point;a characteristic-based 1D axial compressor model for stall and surge simulations;strategies for high-accuracy measurements of stage efficiency for a cooled turbine;and mineral composition effects on dust deposition at realistic engine conditions.

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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791886953

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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791887103

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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791886991

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BioGAP: A 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing

BioGAP: A 10-Core FP-capable Ultra-Low Power IoT Processor, ...

引用

2023 IEEE International conference on Omni-Layer Intelligent systems, COINS 2023

作者： Frey, Sebastian Guermandi, Marco Benatti, Simone Kartsch, Victor Cossettini, Andrea Benini, Luca ETH Zurich Integrated Systems Laboratory Zurich Switzerland DEI University of Bologna Bologna Italy DIEF University of Modena and Reggio Emilia Reggio Emilia Italy Greenwaves Technologies Grenoble France

ISBN: (纸本)9798350346473

Wearable biosignal processing applications are driving significant progress toward miniaturized, energy-efficient Internet-of- Things solutions for both clinical and consumer applications. However, scaling toward high-density multi-channel front-ends is only feasible by performing data processing and machine Learning (ML) near-sensor through energy-efficient edge processing. To tackle these challenges, we introduce BioGAP, a novel, compact, modular, and lightweight (6g) medical-grade biosignal acquisition and processing platform powered by GAP9, a ten-core ultra-low-power SoC designed for efficient multi-precision (from FP to aggressively quantized integer) processing, as required for advanced ML and DSP. BioGAP's form factor is 16x21x14 mm3 and comprises two stacked PCBs: a baseboard integrating the GAP9 SoC, a wireless Bluetooth Low Energy (BLE) capable SoC, a power management circuit, and an accelerometer;and a shield including an analog front-end (AFE) for ExG acquisition. Finally, the system also includes a flexibly placeable photoplethysmogram (PPG) PCB with a size of 9x7x3 mm3 and a rechargeable battery (\phi 12x5 mm2), We demonstrate BioGAP on a Steady State Visually Evoked Potential (SSVEP)-based Brain-Computer Interface (BCI) application. We achieve 3.6 \mu J/sample in streaming and 2.2 \mu J/sample in onboard processing mode, thanks to an efficiency on the FFT computation task of 16.7 Mflops/s/mW with wireless bandwidth reduction of 97%, within a power budget of just 18.2 mW allowing for an operation time of 15 h. © 2023 IEEE.

关键词： System-on-chip

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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791887035

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Proceedings of ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

Proceedings of ASME Turbo Expo 2023: Turbomachinery Technica...

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ASME Turbo Expo 2023: Turbomachinery Technical conference and Exposition, GT 2023

ISBN: (纸本)9780791886977

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