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检索条件"任意字段=22nd ACM Conference on Embedded Networked Sensor Systems, SenSys 2024"

共 16 条记录，以下是1-10 订阅

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Poster: Empowering Wearable Resistive sensor by Near-Field WPT 24

Poster: Empowering Wearable Resistive Sensor by Near-Field W...

引用

22nd acm conference on embedded networked sensor systems, sensys 2024

作者： Liu, Hsuan-Ying Huang, Polly National Taiwan University Taipei Taiwan

ISBN: (纸本)9798400706974

We seek in this work to supply and conserve power for wearable resistive sensors by inductive coupling. A proof-of-concept experiment shows that through a pair of coils the core is able to deliver power and capture the resistance load at the remote sensor, achieving powering and communicating the state of the sensor simultaneously. © 2024 Copyright held by the owner/author(s).

关键词： Wearable sensors

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Poster: FlexibleBP: Blood Pressure Monitoring Using Wrist-worn Flexible sensor 24

Poster: FlexibleBP: Blood Pressure Monitoring Using Wrist-wo...

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22nd acm conference on embedded networked sensor systems, sensys 2024

作者： Zhang, Yujing Li, Bing Peng, Yanxi Li, Jiao Sun, Tao Zhang, Jin Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China

ISBN: (纸本)9798400706974

We propose FlexibleBP, a novel cuffless blood pressure monitoring system using a wrist-worn flexible sensor to enhance comfort and accuracy. By capturing pulse wave signals from the radial artery, we develop a personalized estimation framework incorporating a Transformer model with fine-tuning. Experiments with 36 participants confirm FlexibleBP's accuracy, meeting AAMI standards. This work marks a step toward more user-friendly, advanced wearable BP monitoring solutions. © 2024 Copyright held by the owner/author(s).

关键词： Pressure regulators

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sensys 2024 - Proceedings of the 2024 acm conference on embedded networked sensor systems

SenSys 2024 - Proceedings of the 2024 ACM Conference on Embe...

引用

22nd acm conference on embedded networked sensor systems, sensys 2024

ISBN: (纸本)9798400706974

The proceedings contain 116 papers. The topics discussed include: FireLoc: low-latency multi-modal wildfire geolocation;locating your smart devices with a single speaker;ASLiquid: non-intrusive liquid counterfeit identification with your earphones;MetaFL: privacy-preserving user authentication in virtual reality with federated learning;SALINA: towards sustainable live sonar analytics in wild ecosystems;effective heterogeneous federated learning via efficient hypernetwork-based weight generation;boosting collaborative vehicular perception on the edge with vehicle-to-vehicle communication;MetaLink: extending air-to-water wireless communications using passive bianisotropic metasurfaces;behaviors speak more: achieving user authentication leveraging facial activities via mmWave sensing;and processor-sharing Internet of Things architecture for large-scale deployment.

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Ph.D. Forum: Leveraging Industrial Wireless sensor Networks for Energy-Efficient HVAC System Operations 24

Ph.D. Forum: Leveraging Industrial Wireless Sensor Networks ...

引用

22nd acm conference on embedded networked sensor systems, sensys 2024

作者： Schlichter, Jan TU Braunschweig Braunschweig Germany

ISBN: (纸本)9798400706974

In this work, we present the design, usage and evaluation of Industrial Wireless sensor Networks (IWSNs) to enable the demand-driven operation of HVAC systems. We present a wireless sensor node in combination with a low-cost 3D airflow sensor, which uses differential pressure readings to calculate the airflow. We show how multi-connectivity can be used to increase the reliability of the data transmission between the sensor nodes and, therefore, create a reliable monitoring system for environmental conditions inside factories. Finally, we show how the collected data can be used to implement the automated and demand-driven operation of HVAC systems. © 2024 Copyright held by the owner/author(s).

关键词： sensor nodes

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Poster Cooperative UAV sensor Fusion for Precision Localization and Navigation in Load Transport 24

Poster Cooperative UAV Sensor Fusion for Precision Localizat...

引用

22nd acm conference on embedded networked sensor systems, sensys 2024

作者： James, Alice Kuantama, Endrowednes Seth, Avishkar Han, Richard Mukhopadhyay, Subhas Macquarie University Sydney Australia

ISBN: (纸本)9798400706974

Cooperative UAV transport operations in GPS-denied environments pose significant challenges in localization, coordination, and payload stability. This paper introduces a vision-based Leader-Follower drone system using MAVROS and depth cameras for real-time pose estimation and control. The leader transmits pose and velocity updates to the follower, ensuring synchronized movements. The system maintained a 50 Hz update rate, achieving 28 FPS, 12 ms latency, and 1.2 cm position error on a straight path. The 3-DEE system effectively managed payload-induced attitude variations with low vibration levels and improved speed accuracy. These results confirm the system's robustness for precise localization and stable cooperative UAV transport. © 2024 Copyright held by the owner/author(s).

关键词： Drones

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Non-blocking Inference on Asynchronous Mobile sensor Data with Affinity Control 24

Non-blocking Inference on Asynchronous Mobile Sensor Data wi...

引用

22nd acm conference on embedded networked sensor systems, sensys 2024

作者： Wu, Fengmin Northwestern Polytechnical University Xian China

ISBN: (纸本)9798400706974

The rise of sensor-rich mobile devices has led to the adoption of multi-modal deep intelligence for distributed sensing tasks. However, varying arrival times of mobile sensory data can cause delays or accuracy decline. The diversity and dynamic nature of mobile systems further exacerbate this challenge. To address this, we present an opportunistic inference approach for asynchronous distributed multi-modal data, enabling inference upon partial data arrival. AdaFlow pioneers the formulation of structured cross-modality affinity using a hierarchical analysis-based normalized matrix, accommodating the diversity and dynamics of modalities. Employing an affinity attention-based conditional GAN (ACGAN), AdaFlow facilitates flexible data imputation, adapting to various modalities and tasks without retraining. Experiments show significant reductions in inference latency and enhanced accuracy compared to status quo approaches. © 2024 Copyright is held by the owner/author(s).

关键词： Multicarrier modulation

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Poster Abstract: Tasking Heterogeneous sensor systems with LLMs 24

Poster Abstract: Tasking Heterogeneous Sensor Systems with L...

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22nd acm conference on embedded networked sensor systems, sensys 2024

作者： Liu, Kaiwei Yang, Bufang Xu, Lilin Guo, Yunqi Ling, Neiwen Zhao, Zhihe Xing, Guoliang Shuai, Xian Ren, Xiaozhe Jiang, Xin Yan, Zhenyu The Chinese University of Hong Kong Hong Kong Hong Kong Noah's Ark Lab Huawei Technologies Hong Kong Hong Kong

ISBN: (纸本)9798400706974

Despite the extensive use of sensors enabling intelligent applications, the complementary potential of co-existing sensor systems is often not fully utilized, limiting more advanced applications. This paper introduces a novel solution using Large Language Models (LLMs) to coordinate sensor systems for handling complex user queries. It defines a sensor language for sensor systems, including vocabulary set and grammar rules, analogous to natural language components, enabling LLMs to translate user intentions into sensor coordination plans. Preliminary results show that our approach significantly outperforms the existing solution at plan generation, execution and response generation stages. © 2024 Copyright held by the owner/author(s).

关键词： Context sensitive grammars

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Acoustic Side-Channel Communications for Aerial Drones with HUM 24

Acoustic Side-Channel Communications for Aerial Drones with ...

引用

22nd acm conference on embedded networked sensor systems, sensys 2024

作者： Sharma, Suryansh Lica, Robert Prasad, Venkatesha Mottola, Luca Ambroziak, Leszek Networked Systems TU Delft Delft Netherlands Politecnico di Milano RI.SE Italy Uppsala University Sweden Bialystok University of Technology Bialystok Poland

ISBN: (纸本)9798400706974

We present HUM-High-frequency UAV Messaging: an acoustic side channel communication system we design for localized drone-to-drone communications. We generate Pulse Width Modulated (PWM) signals from drone motors to carry information and improve communication reliability by mitigating propeller noise interference through modifications to the propeller's physical design. These modifications reduce propeller noise in the designated acoustic spectrum by up to 7 dB. We deploy a custom ultrasonic microphone shield specifically designed for decoding in the receiver. HUM's improved signal-to-noise ratio enables up to 80x higher data rates compared to the existing design from the literature while providing better scalability. HUM supports simultaneous decoding across 16 drones within 8 m, range as seen in real flight tests. The cost of this performance is minimal;we experimentally demonstrate that HUM has a marginal impact on flight dynamics and battery life. © 2024 Copyright is held by the owner/author(s).

关键词： Propellers

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Fast-Inf: Ultra-Fast embedded Intelligence on the Batteryless Edge 24

Fast-Inf: Ultra-Fast Embedded Intelligence on the Batteryles...

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22nd acm conference on embedded networked sensor systems, sensys 2024

作者： Custode, Leonardo Lucio Farina, Pietro Yildiz, Eren Kilic, Renan Beran Yildirim, Kasim Sinan Iacca, Giovanni University of Trento Povo Trento Italy Ege University Izmir Turkey

ISBN: (纸本)9798400706974

Batteryless edge devices are extremely resource-constrained compared to traditional mobile platforms. Existing tiny deep neural network (DNN) inference solutions are problematic due to their slow and resource-intensive nature, rendering them unsuitable for batteryless edge devices. To address this problem, we propose a new approach to embedded intelligence, called Fast-Inf, which achieves extremely lightweight computation and minimal latency. Fast-Inf uses binary tree-based neural networks that are ultra-fast and energy-efficient due to their logarithmic time complexity. Additionally, Fast-Inf models can skip the leaf nodes when necessary, further minimizing latency without requiring any modifications to the model or retraining. Moreover, Fast-Inf models have significantly lower backup and runtime memory overhead. Our experiments on an MSP430FR5994 platform showed that Fast-Inf can achieve ultra-fast and energy-efficient inference (up to 700x speedup and reduced energy) compared to a conventional DNN. © 2024 Copyright is held by the owner/author(s).

关键词： embedded systems

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ZenseTag: An RFID assisted Twin-Tag Single Antenna COTS sensor Interface 24

ZenseTag: An RFID assisted Twin-Tag Single Antenna COTS Sens...

引用

22nd acm conference on embedded networked sensor systems, sensys 2024

作者： Bhat, Nagarjun Gupta, Agrim Bansal, Ishan Govindarajan, Harine Bharadia, Dinesh Electrical and Computer Engineering University of California San Diego San DiegoCA United States

ISBN: (纸本)9798400706974

sensors enable us to digitally capture stimuli like moisture, light, and force. Despite their low cost, reliability, and scalability, the lack of widespread adoption of IoT has hindered the realization of true ubiquitous sensing. A likely reason is that the current sensor platforms are bulky due to the batteries and complex electronics needed to interface sensors communication systems. In this work, we present a fully-passive, miniaturized, flexible form factor sensor interface titled ZenseTag that uses minimal electronics to read and communicate analog sensor data, directly at radio frequencies (RF). We exploit the fundamental principle of resonance, where a sensor's terminal impedance becomes most sensitive to the measured stimulus at its resonant frequency. This enables ZenseTag to read out the sensor variation using only energy harvested from wireless signals. We demonstrate its implementation with a 15x10mm flexible PCB that connects sensors to a printed antenna and passive RFID ICs, enabling near real-time readout through a performant GUI-enabled *** showcase ZenseTag's versatility by interfacing commercial force, soil moisture and photodiode sensors [1 - 3]. Further, we motivate dedicated application studies for these sensors. © 2024 Copyright is held by the owner/author(s).

关键词： Antennas

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