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检索条件"任意字段=Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems"

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NanoCoCoA 2020 - proceedings of the 1st acm International Workshop on Nanoscale Computing, Communication, and Applications, Part of the 18th acm conference on embedded networked sensor systems, SenSys 2020

NanoCoCoA 2020 - Proceedings of the 1st ACM International Wo...

引用

1st acm International Workshop on Nanoscale Computing, Communication, and Applications, NanoCoCoA 2020, held in conjunction with the 18th acm conference on embedded networked sensor systems, SenSys 2020

ISBN: (纸本)9781450381161

The proceedings contain 8 papers. The topics discussed include: on the feasibility of flow-guided nanocommunication networks for some medical applications;a molecular communication scheme to estimate the state of biochemical processes on a lab-on-a-chip;hydrogel-based bio-nanomachine transmitters for bacterial molecular communications;toward dynamically adapting wireless intra-chip channels to traffic needs with a programmable metasurface;a cube-tree hybrid NoC topology with 3D mirroring technique for load balancing;secrecy capacity of diffusive molecular communication under biological spherical environment;metasurface sensing platforms for medical diagnostics;and work in progress: intelligent metasurface holograms.

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SenSys 2005 - proceedings of the 3rd International conference on embedded networked sensor systems

SenSys 2005 - Proceedings of the 3rd International Conferenc...

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3rd acm International conference on embedded networked sensor systems, SenSys 2005

ISBN: (纸本)159593054X

The proceedings contain 21 papers. The topics discussed include: radio interferometric geolocation;a high-accuracy, low-cost localization system for wireless sensor networks;a new approach for establishing pairwise keys for securing wireless sensor networks;a macroscope in the redwoods;design and deployment of industrial sensor networks: experiences from a semiconductor plant and the north sea;a unifying link abstraction for wireless sensor networks;packet combining in sensor networks;siphon: overload traffic management using multi-radio virtual sinks in sensor networks;estimating clock uncertainty for efficient duty-cycling in sensor networks;and firefly-inspired sensor network synchronicity with realistic radio effects.

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SenSys 2021 - proceedings of the 2021 19th acm conference on embedded networked sensor systems

SenSys 2021 - Proceedings of the 2021 19th ACM Conference on...

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19th acm conference on embedded networked sensor systems, SenSys 2021

ISBN: (纸本)9781450390972

The proceedings contain 108 papers. The topics discussed include: Mercury: efficient on-device distributed DNN training via stochastic importance sampling;FedMask: joint computation and communication-efficient personalized federated learning via heterogeneous masking;NELoRa: towards ultra-low SNR LoRa communication with neural-enhanced demodulation;MultiScatter: Multistatic backscatter networking for battery-free sensors;Wavoice: a noise-resistant multi-modal speech recognition system fusing mmWave and audio signals;MoRe-Fi: motion-robust and fine-grained respiration monitoring via deep-learning UWB radar;sense me on the ride: accurate mobile sensing over a lora backscatter channel;CurveLight: an accurate and practical indoor positioning system;SnapperGPS: algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots;and enabling passive backscatter tag localization without active receivers.

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SenSys 2023 - proceedings of the 21st acm conference on embedded networked sensors systems

SenSys 2023 - Proceedings of the 21st ACM Conference on Embe...

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21st acm conference on embedded networked sensors systems, SenSys 2023

ISBN: (纸本)9798400704147

The proceedings contain 74 papers. The topics discussed include: MESEN: unleash few-shot unimodal human activity recognition with unlabeled multimodal data;SudokuSens: enhancing deep learning robustness for IoT sensing applications using a generative approach;RF genesis: enhancing generalization of mmWave sensing through cross-modal data synthesis and dilution;XGait: cross-modal translation via deep generative sensing for RF-based gait recognition;XiTuXi: sealing the gaps in cross-technology communication by neural machine translation;physics-informed data denoising for real-life sensing systems;Miriam: exploiting elastic kernels for real-time multi-DNN inference on edge GPU;and LifeLearner: hardware-aware meta continual learning system for embedded computing platforms.

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Poster Abstract: Securing Edge-Based Real-Time IoT systems 21

Poster Abstract: Securing Edge-Based Real-Time IoT Systems

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21st acm conference on embedded networked sensor systems (SenSys)

作者： Kim, Dongha Kim, Hokeun Arizona State Univ Tempe AZ 85287 USA

ISBN: (纸本)9798400704147

The advent of the Internet of Things (IoT) has led to an increased demand for security and real-time guarantees in distributed embedded systems comprising the IoT. Securing edge-based systems with limited resources can be especially problematic due to challenges in adapting traditional network security protocols. In this work, we introduce two methods to provide security guarantees in resource-constrained devices-based ioT systems. As a case study, we propose an integration of Secure Swarm Toolkit (Sst), an open-source framework for IoT security, with Lingua Franca (LF), a software platform for concurrent and time-sensitive applications. We report preliminary results on our work-in-progress implementation and experiments, followed by concrete future research plans.

关键词： Security Distributed embedded systems Real-time systems IoT

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Demo Abstract : Light and Vibration Gesture Sensing with OTTER: embedded Data Collection and Analysis Using LLMs 21

Demo Abstract : Light and Vibration Gesture Sensing with OTT...

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21st acm conference on embedded networked sensor systems (SenSys)

作者： Waskito, steven Leow, Kai Jie Medaranga, Pramuka Gupta, Tejas Chakrabarty, Shantanu Gulati, Manoj Varshney, Ambuj Natl Univ Singapore Singapore Singapore IIT Kanpur Uttar Pradesh India NCS Grp Singapore Singapore

ISBN: (纸本)9798400704147

The rapid growth in wireless embedded systems is threatened by the challenges associated with programming and deploying them. In addition, there is also the complexity inherent in analyzing of the sensor data. Notably, these tasks require high levels of end-user expertise. In this way, an entry barrier is introduced to deploying wireless embedded systems. In this work, we introduce Otter, an end-to-end system designed to simplify these tasks by leveraging the emergent properties of large language models. We demonstrate that Otter allows commodity embedded platforms to capture sensor data, such as light and vibration sensors, which can then be used to identify hand gestures in a near real-time manner. This is all while being prompted using natural language prompts by the end-user. Otter is the first system of its kind and has the potential to facilitate wireless embedded systems proliferation significantly.

关键词： LLMs sensor data analysis wireless embedded systems

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Poster Abstract: Towards Speaker Identification on Resource-Constrained embedded Devices 21

Poster Abstract: Towards Speaker Identification on Resource-...

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21st acm conference on embedded networked sensor systems (SenSys)

作者： Gallacher, Markus Boano, Carlo Alberto Sankar, M. S. Arun Roedig, Utz Lunardi, Willian T. Baddeley, Michael Graz Univ Technol Graz Austria Univ Coll Cork Cork Ireland Technol Innovat Inst Abu Dhabi U Arab Emirates

ISBN: (纸本)9798400704147

Voice is a convenient and popular way to interact with our digital world. Besides translating speech to text, it is also possible to identify speakers based on their voice profile. To date, speaker identification has predominantly been limited to high-performance computational platforms owing to the intricate nature of the underlying algorithms. In this work, we demonstrate that it is possible to reduce model complexity by the required factor of similar to 10, such that speaker identification can be made feasible for embedded devices with limited resources. We further describe and discuss novel use cases, such as voice-based presence detection and authentication, that become feasible on these class of devices.

关键词： Machine Learning Speaker Identification embedded systems

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Poster Abstract: Investigation of Distance Sensing Method Using Magnetic Resonant Coupled Coils for Deformable User Interfaces 21

Poster Abstract: Investigation of Distance Sensing Method Us...

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21st acm conference on embedded networked sensor systems (SenSys)

作者： Higuchi, Kenta Kadomoto, Junichiro Irie, Hidetsugu Sakai, Shuichi Univ Tokyo Tokyo Japan

ISBN: (纸本)9798400704147

We investigated the possibility of using the output voltage of magnetic resonant coupled coils to realize a distance sensing method that can be applied even when the distance between coils is long. We changed the distance between PCB boards with 1 cm coils and measured the output voltage induced in one coil when an AC voltage of the resonant frequency is input to the other coil. As a result, a correlation was confirmed between the distance between the coils and the value of the output voltage. We found that the distance between the coils can be estimated from the output voltage even when that distance is more than five times the coil diameter. This method enables distance sensing between objects simply by placing a coil on the object. This allows for the sensing of positional relationships between components used in deformable user interfaces.

关键词： Displacement sensor Magnetic Resonance Communication

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Poster Abstract: Towards a Tiny Digital Displacement sensor Utilizing Bit-Error Characteristics of Inter-Chip Wireless Bus 21

Poster Abstract: Towards a Tiny Digital Displacement Sensor ...

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21st acm conference on embedded networked sensor systems (SenSys)

作者： Kadomoto, Junichiro Irie, Hidetsugu Sakai, Shuichi Univ Tokyo Tokyo Japan

ISBN: (纸本)9798400704147

In this paper, a displacement sensing method utilizing the bit-error characteristics in inter-chip wireless bus is presented. A non-contact displacement sensor is highly demanded in many engineering fields, and its miniaturization contributes to the expansion of further application areas and simplifies implementation. Inter-chip wireless bus is a short-range wireless communication technology that uses a small coupler, and its bit-error characteristics change according to the relative position between couplers. Additionally, the bit-error rate in inter-chip wireless bus can be obtained solely by digital processing through a tiny microcontroller. Therefore, a tiny digital displacement sensor, integrating a small coupler, wireless transceiver circuits, and a microcontroller, can be realized. The principle of proposed sensing method is verified using simulations, and a 1 mm x 1 mm CMOS LSI test chip is designed and fabricated using 180-nm CMOS technology.

关键词： Displacement sensor Proximity Wireless Communication

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NeuroRadar: A Neuromorphic Radar sensor for Low-Power IoT systems 21

NeuroRadar: A Neuromorphic Radar Sensor for Low-Power IoT Sy...

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21st acm conference on embedded networked sensor systems (SenSys)

作者： Zheng, Kai Qian, Kun Woodford, Timothy Zhang, Xinyu Univ Calif San Diego San Diego CA USA

ISBN: (纸本)9798400704147

Radar sensors have recently been explored in the industrial and consumer Internet of Things (IoT). However, such applications often require self-sustainable or untethered operations, which are at odds with the high power consumption of radar. This paper proposes NEURORADAR, a neuromorphic radar sensor, to achieve low-power wireless sensing. NEURORADAR jointly optimizes the analog hardware and the computation model, in order to mimic the highly efficient biological sensing and neural processing system. NEURORADAR features a highly simplified radar front end, which eliminates the power-hungry components in conventional radars. It directly "encodes" ambient motion into spiking signals, which can be processed using spiking neural networks running on energy-efficient neuromorphic computing platforms. We have prototyped NEURORADAR and evaluated its performance in two use cases: gesture sensing and localization. Our experiments demonstrate that NEURORADAR can achieve high sensing accuracy, at orders of magnitude lower power consumption compared with traditional radar.

关键词： Neuromorphic computing Neuromorphic sensors Spiking neural networks Low-power sensing Gesture recognition Motion tracking

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