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检索条件"任意字段=5th ACM Conference on Embedded Networked Sensor Systems"

共 1274 条记录，以下是21-30 订阅

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Design and implementation of Intelligent Water Cup system based on wireless sensor network 24

Design and implementation of Intelligent Water Cup system ba...

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5th International conference on Computer Information and Big Data Applications, CIBDA 2024

作者： Wang, Nan Liu, Yan Yan, Zhiqiang College of Computer Science Wuhan Donghu University WuHan430299 China College of Computer and Artificial Intelligence Wuhan University of Engineering Science Wuhan430200 China

ISBN: (纸本)9798400718106

this project has designed an intelligent water cup system based on based on wireless sensor network. the cup cover is provided with a memory area of a memory chip and an intelligent control system is embedded on the cup body, through intelligent sensors (temperature sensor, GPS sensor, pressure sensor, etc.) to achieve measurement and remind users to drink water. Its specific functions include: Using GPS sensors to monitor the location of the cup to avoid losing track;using temperature sensors can determine the ambient temperature and water temperature;through Bluetooth, transmission of basic information in the cup, including the cup of electricity, water temperature, water allowance and other information. the Intelligent Cup is also equipped with display, alarm, communication, storage, positioning and other modules, so as to achieve intelligent control, to bring more convenience to people’s lives. © 2024 acm.

关键词： Wireless sensor networks

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M5: Facilitating Multi-user Volumetric Content Delivery with Multi-lobe Multicast over mmWave 20

M5: Facilitating Multi-user Volumetric Content Delivery with...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Zhang, Ding Zhou, Puqi Han, Bo Pathak, Parth George Mason Univ Fairfax VA 22030 USA

ISBN: (纸本)9781450398862

Multi-user volumetric content delivery can enable numerous appealing applications, such as online education, telehealth, multi-user AR/VR training, immersive collaborative analytics, etc. However, the bandwidth-intensive nature of volumetric video streaming makes existing systems for single-user experiences hard to scale to multi-user scenarios. To address this critical issue, in this paper, we first perform a scaling experiment on mmWave networks that offer the needed multi-Gbps throughput and identify two key challenges of streaming high-quality volumetric videos to multiple users: frequent blockages of mmWave links and high transmission redundancy among users. To solve these problems, we propose a first-of-its-kind, agile, and cross-layer system, dubbed M5, for improving the performance and quality of experience for multi-user volumetric video streaming. M5 utilizes the 6DoF motion prediction of users to proactively adapt mmWave beams and prefetch frames to mitigate the blockage effects. Furthermore, it takes advantage of the multicast transmission to deliver the overlapped common content within users' viewports to reduce the bandwidth requirement. Our extensive experiments on a real testbed and with a trace-driven simulator show that M5 can effectively improve the frame rate by 44.1% and volumetric video quality by 62.3% compared to the state-of-the-art system.

关键词： Video streaming

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CASPER: Criticality-Aware Self-Powered Wireless in-vivo Sensing Edge for Precision Animal Agriculture 20

CASPER: Criticality-Aware Self-Powered Wireless in-vivo Sens...

引用

20th acm conference on embedded networked sensor systems (SenSys)

作者： Kaur, Upinder Voyles, Richard M. Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9781450398862

the promise of individualized care for improving animal welfare demands real-time continuous monitoring of animals. While technology has helped crop agriculture realize the goals of precision care, animal agriculture is still lacking domain-adapted technology. In this work, we present a novel Criticality-Aware Self-Powered invivo sensing Edge for pRecision animal agriculture, CASPER. Enabling real-time monitoring of a suite of biomarkers while scavenging power from both thermal and physiological sources, CASPER promises unprecedented adaptability, range, and life-cycle for such an edge node. Field deployments show that CASPER generates 30mW of power with a surplus of 9.08mW, during the ultra-low power mode. the criticality-aware control is proven to capture deviation in trends of biomarker activity that would be missed in fixed-interval transmission. Hence proving the validity and effectiveness of CASPER.

关键词： self-powered IoT Precision animal agriculture Wireless Edge sensor

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Convolutional Compressed Sensing for Smartphone Acceleration Data Compression 20

Convolutional Compressed Sensing for Smartphone Acceleration...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Xu, Liqiang Nishiyama, Yuuki Shimosaka, Masamichi Tsubouchi, Kota Sezaki, Kaoru Univ Tokyo Tokyo Japan Tokyo Inst Technol Tokyo Japan Yahoo Japan Corp Tokyo Japan

ISBN: (纸本)9781450398862

As intelligent sensing and smartphone technologies have progressed, a huge amount of highly heterogeneous data have come to be stored in smartphones and uploaded to servers for analysis on a daily basis. this has led to vast storage overheads for users and companies. Hence, data compression becomes the most efficient strategy for suppressing the increase in storage overhead. Compressed sensing (CS) technology is one approach to compressing data, but traditional CS-based algorithms are significantly time-consuming and have low reconstruction performance. In light of these drawbacks, this paper proposes a compressed sensing framework that instead takes advantage of the low time cost and adaptive learning capability of deep learning methods, wherein a convolutional neural network (CNN) is used for compressing and reconstructing acceleration data. Our experiments with actual smartphone acceleration data show that the proposed method dramatically improves the reconstruction performance with very little reconstruction time compared with traditional compressed sensing methods.

关键词： Compressed sensing Acceleration data Convolutional neural network Smartphone sensor

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Soil Detachment Analysis Using Richards Model 5

Soil Detachment Analysis Using Richards Model

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5th International conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Prakash, K. Jeya Nandalal, V. Manikandan, T. Kumar, V. Anand Vallika, Nallamalli Veda Sree Kalasalingam Academy of Research and Education Department of Ece Tamil Nadu India Sri Krishna College of Engineering and Technology Department of Ece Tamil Nadu Coimbatore India Rajalakshmi College of Engineering Department of Ece Tamil Nadu Chennai India Sri Eshwar College of Engineering Department of Ece Tamil Nadu Coimbatore India

ISBN: (纸本)9798350379945

Soil erosion poses a significant threat to agricultural productivity. this study investigates the impact of soil detachment on crop growth and fertility. By employing an S-type experimental setup, we analyze soil bulk density and saturation levels under controlled conditions. A sensor-based controller system enhances the experimental process, reducing human error. the findings of this research contribute to a better understanding of soil erosion mechanisms and inform strategies for soil conservation and sustainable agriculture. © 2024 IEEE.

关键词： Bulk density Soil detachment Soil erosion and embedded sensor

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From Participatory Sensing to Public-private Partnership: the Development of AirBox Project in Taiwan 20

From Participatory Sensing to Public-private Partnership: Th...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Chung, Ming-Kuang Ching, Fu-Shiang Chen, Ling-Jyh Acad Sinica Inst Informat Sci Taipei Taiwan

ISBN: (纸本)9781450398862

A complete sensor network should include sensors, data processing, and data services. However, to establish the legitimacy of sensor data for urban governance, sensor networks should go beyond simple deployment of sensors in the built environment and strive for deeper integration of data services within civil society. this paper presents the Taiwan AirBox Project as an exemplary case of practical deployment of a sensor network to discuss the topics of open data, value-added services, and joint calibration services;as well as how these services generate productive public-private partnerships. the AirBox project adopted a strategy of combining opensource hardware, flexible database API, multiple value-added data services, and open-joint calibration to gradually enhance the data quality. the results suggested that: 1. open hardware and open source software are keys to expanding the deployment of the sensor network;2. open data and diverse value-added services enhance the public's environmental awareness and advocacy;3. the open jointcalibration system helps connect government policy formulation with public environmental awareness. In addition, the AirBox project demonstrates the feasibility of a democratized deployment strategy. "Openness" serves as the foundation for mutual trust, communication, cooperation, and cocreation among stakeholders involved in the deployment process.

关键词： AirBox sensor network deployment participatory sensing open joint-calibration system

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PROGNOES: Prediction of haRvestable sOlar enerGy based on suN irradiatiOn and wEather conditionS 20

PROGNOES: Prediction of haRvestable sOlar enerGy based on su...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Mosavat, Sayedsepehr Golkar, Pedram Univ Duisburg Essen Networked Embedded Syst Grp Duisburg Germany Niederrhein Univ Appl Sci Fac Elect Engn & Comp Sci Krefeld Germany Univ Duisburg Essen Duisburg Germany

ISBN: (纸本)9781450398862

Energy harvesting, batteryless devices can mitigate many shortcomings of battery-operated devices in the coming years, particularly in the area of the Internet of things. Solar energy is an accessible and effective source of power for such devices. However, the uncontrollable nature of solar energy makes the task of designing and evaluating energy harvesting devices a challenging one. In this work, we propose PROGNOES, a tool that allows the user to forecast the harvestable solar energy by a particular solar cell at a specific time and location. To carry out the forecasts, various algorithms and models are used not only to provide the theoretical solar irradiation but also to provide the weather condition data corresponding to the time and location of the forecasting. PROGNOES can generate forecasts in the form of IV curves, similar to those generated by physical solar cells. Such IV curves can then be emulated with suitable tools to provide energy traces to the energy harvesting devices at design time, therefore facilitating the task of designing robust, reliable energy harvesting, batteryless devices. In our experiments, we find that the energy forecasts carried out by PROGNOES can reach a mean absolute error of 7.16 mW.

关键词： energy harvesting solar cell PV cell energy prediction energy management design support

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Dataset: Impact Events for Structural Health Monitoring of a Plastic thin Plate 20

Dataset: Impact Events for Structural Health Monitoring of a...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Katsidimas, Ioannis Kotzakolios, thanasis Nikoletseas, Sotiris Panagiotou, Stefanos H. Timpilis, Konstantinos Tsakonas, Constantinos Univ Patras Comp Engn & Informat Dept Patras Greece Univ Patras Mech Engn & Aeronaut Dept Patras Greece

ISBN: (纸本)9781450398862

Nowadays, more and more datasets are published towards research and development of systems and models, enabling direct comparisons, continuous improvement of solutions, and researchers engagement with experimental, real life data. However, especially in the Structural Health Monitoring (SHM) domain, there are plenty of cases where new research projects have a unique combination of structure design and implementation, sensor selection and technological enablers that does not fit with the configuration of relevant individual studies in the literature. thus, we share the data from our case study to the research community as we did not find any relevant repository available. More specifically, in this paper, we present a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric transducers (PZTs) connected to an Internet of things (IoT) device. the dataset was collected from an experimental procedure of low-velocity, low-energy impact events that includes at least 3 repetitions for each unique experiment, while the input measurements come from 4 PZT sensors placed at the corners of the plate. For each repetition and sensor, 5000 values are stored with 100 KHz sampling rate. the system is excited with a steel ball, and the height from which it is released varies from 10 cm to 20 cm. the dataset is available in Github (https://***/Smart-Objects/Impact-Events-Dataset).

关键词： dataset structural health monitoring impact events PZT sensor data thin plate microcontroller

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An Application of Geotechnical Instrumentation Permanently embedded in Railway Track 5th

An Application of Geotechnical Instrumentation Permanently E...

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5th International conference on Transportation Geotechnics

作者： Milne, David Watson, Geoff Powrie, William Lee, Ben Univ Southampton Sch Engn Southampton Hants England Network Rail Tech Author London England

ISBN: (纸本)9789819782154;9789819782130;9789819782123

Researchers and engineers rely on information and data to study, operate, maintain, and improve transportation infrastructure. Measurement provides quantitative information and evidence for these purposes. sensors for measurement can be embedded into the track system at a fixed location or vehicle mounted. this paper describes the design, deployment, and operation of a permanent measurement system that uses sensors embedded in the trackbed on an operational railway in the United Kingdom to monitor track deflection, stiffness, and pressures at key trackbed interfaces. the measurement systems comprise a longitudinal array of accelerometers fixed to sleeper ends;dynamically sampled total pressure cells placed at the ballast-subgrade interface;and total pressure cells, piezometers, and accelerometers buried in the subgrade. Permanent, fixed sensors provide large volumes of detailed but highly localized information, while multichannel sensor arrays produce data that describes performance along the track. Methods for data reduction are proposed for the acceleration measurement system that allows spatial and seasonal variation to be visualized along the instrumented site for different train types. this approach enables comparison with track geometry data from rolling (on-train) measurements. Locally, buried instrumentation provides evidence for variation in load transfer to the subgrade both along the line and across individual sleepers;illustrates how interaction between wheelsets varies with depth and by vehicle type;and how the pore water responds to train loading. the application of measurement for monitoring purposes permits an analytical approach to data interpretation where monitoring parameters are similar to those used for design and simulation.

关键词： Railway track performance Measurement and monitoring

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NFCapsule: An Ingestible sensor Pill for Eosinophilic Esophagitis Detection Based on Near-field Coupling 20

NFCapsule: An Ingestible Sensor Pill for Eosinophilic Esopha...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Zhang, Junbo Balakrishnan, Gaurav Srinidhi, Sruti Bhat, Arnav Kumar, Swarun Bettinger, Christopher Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781450398862

this paper presents NFCapsule, a light-weight, battery-free, and ingestible biomedical sensor that can potentially enable non-invasive detection of active eosinophilic esophagitis (EoE). EoE is an allergen-induced inflammatory condition of the esophagus;its diagnosis generally involves invasive, wired, and time-consuming endoscopy. In contrast, NFCapsule aims to wirelessly detect active EoE by tracking tissue impedance through an ingestible pill that the patient swallows. Specifically, recent biomedical research has shown that active EoE induces observable changes in the electrochemical impedance of the esophagus tissue due to an increase in its intercellular spacing. We design the NFCapsule pill based on RLC resonant circuits and model the target tissue as an impedance component that changes the resonant properties of the pill circuit. Further, the NFCapsule reader identifies the resonant properties of the pill by consistently monitoring the amount of energy transferred to the pill as it goes through the esophagus, and converts this information to estimates of bio-impedance. We implement NFCapsule pill prototypes with flexible polyimide PCBs and gelatin capsules (27 mm in height and 10 mm in diameter) and evaluated NFCapsule with both ionic agarose hydrogel models and ex vivo porcine esophageal tissues (no human patients involved). We show that NFCapsule maintains high classification accuracy under various practical scenarios (e.g., blockage, bending, movement, etc.) and achieves 85% average accuracy between healthy and unhealthy tissue samples.

关键词： near-field inductive coupling resonant circuit ingestible electronics wireless systems

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