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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71-80 订阅

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Leakage-Aware Lifetime Estimation of Battery-Free sensor Nodes Powered by Supercapacitors 22

Leakage-Aware Lifetime Estimation of Battery-Free Sensor Nod...

引用

Proceedings of the 20th acm conference on embedded networked sensor systems

作者： Hannah Brunner Carlo Alberto Boano Kay Römer Graz University of Technology Graz Austria

ISBN: (纸本)9781450398862

Battery-free sensor nodes rely solely on energy harvested from the environment and thus employ supercapacitors as energy storage to allow perpetual operation in absence of ambient energy. To guarantee that the sensor nodes can survive in periods where no harvested energy is available, it is crucial to accurately estimate the lifetime of these devices. However, as we show experimentally in this paper, an accurate lifetime estimation is non-trivial due to the supercapacitors' complex discharge characteristics (e.g., leakage currents) and large capacitance tolerances. After showing that empirical data capturing the supercapacitors' characteristics is essential towards an accurate estimation of the system's lifetime, we introduce an enhanced leakage model that is computationally lightweight and evaluate its accuracy experimentally.

关键词： supercapacitors sensor nodes leakage battery-free systems

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Hardware to Enable Large-Scale Deployment and Observation of Soil Microbial Fuel Cells 22

Hardware to Enable Large-Scale Deployment and Observation of...

引用

Proceedings of the 20th acm conference on embedded networked sensor systems

作者： John Madden Gabriel Marcano Stephen Taylor Pat Pannuto Colleen Josephson UC Santa Cruz UC San Diego

ISBN: (纸本)9781450398862

Soil microbial fuel cells are a promising source of energy for outdoor sensor networks. these biological systems are sensitive to environmental conditions, therefore more data is needed on their behavior "in the wild" to enable the creation of an energy system capable of being widely deployed. Prior work on early characterization of microbial fuel cells relied on extremely accurate, but expensive, logging hardware. To scale up the number of deployment sites, we present custom logging hardware, specially designed to accurately monitor the behavior of microbial fuel cells at low cost. this paper describes the design and evaluation of the board, which is open source and freely available on Github.

关键词： microbial fuel cell sensor networks power monitoring power harvesting

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Design of an HP-RTM Flow Monitoring System Based on embedded Capacitive sensors

Design of an HP-RTM Flow Monitoring System Based on Embedded...

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sensors and Information Technology (ICSI), International conference on

作者： Haolong Zhang Ping'an Guo Kang Jin China Machinery Industry Technology Research Institute of Precision Forming China Academy of Machinery Beijing Research Institute of Mechanical & Electrical Technology Co. Ltd. Wuhu China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

this study addresses the challenge of optimizing high-pressure resin transfer molding (HP-RTM) by proposing a low-cost, high-precision embedded capacitive sensor system for monitoring resin flow. the system uses an FDC2214 capacitive-to-digital converter for signal generation and a PLC for signal acquisition, with protocol conversion enabling communication. A custom PLC program and interface allow real-time capacitance data collection and display. Resin flow into the sensor area causes measurable capacitance changes, enabling visual monitoring. An experimental setup with a transparent mold validated the system, showing minimal error between observed and measured flow front positions. this work improves HP-RTM quality control, boosts product quality and efficiency, and enhances the competitiveness of HP-RTM technology.

关键词： Visualization Measurement uncertainty Data acquisition Capacitance Capacitive sensors Real-time systems sensor systems Resins Transfer molding Monitoring

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Design of connected and autonomous vehicle communication terminal based on 5th generation mobile communication network slicing model

Design of connected and autonomous vehicle communication ter...

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2021 International conference on Electronic Information Engineering and Computer Communication, EIECC 2021

作者： Liu, Huanyi School of Information Engineering Guangxi Ploytechnic of Construction Guangxi Nanning China

ISBN: (数字)9781510653207

ISBN: (纸本)9781510653191

5G network slicing with low delay and high reliability has been greatly sought after in the intelligent network connection automobile industry, and the development of various scenarios of vehicle networking also reflects the gradual deepening of 5G to various fields. therefore, the embedded connected and autonomous vehicle communication terminal is analyzed and designed according to the application scenario of the intelligent networked automobile, and the Monte Carlo algorithm is utilized to maximize the vehicle data throughput and the total system throughput of the end-users by constructing the 5G mobile communication network slice model. the simulation results suggest that under the optimized power allocation technology, the end-users who receive vehicle data are enabled to achieve high throughput in their slices. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： 5G mobile communication systems

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Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration 22

Bus Crowdedness Sensing System Based on Carbon Dioxide Conce...

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Proceedings of the 20th acm conference on embedded networked sensor systems

作者： Wenhao Huang Akira Tsuge Yin Chen Tadashi Okoshi Jin Nakazawa Keio University Fujisawa Kanagawa Japan Reitaku University Kashiwa Chiba Japan

ISBN: (纸本)9781450398862

Crowdedness sensing of buses is playing an important role in the disease control of COVID-19 and bus resource scheduling. this research analyzes the relationship between carbon dioxide concentration, bus environment and the number of passengers by linear regression. Our prototype system collects the data of bus environment and carbon dioxide concentration to estimate the number of passengers in real time. By collecting the sensing data from a shuttle bus of university campus, we experimentally evaluate the feasibility and sensing performance of the crowdedness estimation model.

关键词： smart cities crowdedness sensing carbon dioxide sensor ubiquitous computing

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Simultaneous Sporadic sensor Anomaly Detection for Smart Homes 22

Simultaneous Sporadic Sensor Anomaly Detection for Smart Hom...

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Proceedings of the 20th acm conference on embedded networked sensor systems

作者： Hyunwoo Jung Wootack Kim Hyuna Seo Youngki Lee Seoul National University Republic of Korea

ISBN: (纸本)9781450398862

Dissemination of sensors and advances in techniques (e.g., network) has led to the opportunity for smart home. However, sensor malfunctions and difficult-to-diagnose characteristics hinder robust sensor system operation. sensor anomaly detection systems for smart home have been proposed, but they target only a few specific types of sensor anomalies of a single sensor. In this work, we propose a sensor anomaly detection method based on Deep Neural Network (DNN), which automatically extracts critical features to detect the anomalies, even for simultaneous sporadic anomalies with complex data patterns. We leverage Hypersphere Classification (HSC) [14], the state-of-the-art DNN-based supervised outlier exposure method. We evaluate our proposed method on a public smart home sensor dataset. Our results show that the performances of the baselines drop up to 54.4% while ours drops up to 1.1%.

关键词： anomaly detection deep learning smart home unsupervised outlier exposure

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Neural NILM Learning Paradigms: From Centralised to Decentralised Learning 5

Neural NILM Learning Paradigms: From Centralised to Decentra...

引用

5th International conference on Signal Processing and Information Security, ICSPIS 2022

作者： Bousbiat, Hafsa Klemenjak, Christoph Himeur, Yassine Elmenreich, Wilfried Amira, Abbes Mansoor, Wathiq Atalla, Shadi University of Klagenfurt Institute of Networked and Embedded Systems Klagenfurt Austria University of Dubai College of Engineering and IT Dubai United Arab Emirates University of Sharjah Department of Computer Science United Arab Emirates

ISBN: (纸本)9781665492652

Non-intrusive Load Monitoring (NILM) is becoming a paramount in both industrial and residential sectors to achieve efficient energy consumption. thus, research on this matter flourished in recent years, where deep neural networks gained the highest interest from the research community, commonly referred to as neural NILM. As a predominant practice, neural NILM models follow a centralised based learning scheme where the energy data is assumed to be available in a central node for training. However, this practice and the enormous amount of data required by these algorithms raise privacy and security concerns from the consumer's side since energy data can reveal in-home activities and occupancy records if intercepted. Federated Learning (FL), also referred to as collaborative learning, is seen as viable solution to address these issues. Nonetheless, its application in neural NILM is still in its infancy and many challenges are yet to be addressed. the current paper presents an overview of neural NILM models following both a centralised and a federated learning paradigm. Furthermore, it identifies the main challenges with regard to both learning paradigms along with potential future research directions for more robust, secure and privacy-preserving models in the neural NILM industry. © 2022 IEEE.

关键词： Deep neural networks

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SIET 2022 - Proceedings of 7th International conference on Sustainable Information Engineering and Technology 2022

SIET 2022 - Proceedings of 7th International Conference on S...

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7th International conference on Sustainable Information Engineering and Technology, SIET 2022

ISBN: (纸本)9781450397117

the proceedings contain 54 papers. the topics discussed include: a comparative study of YOLOv5 models on American sign language dataset;a generative-based chatbot for daily conversation: a preliminary study;android-based chatbot application using back propagation neural network to help the first treatment of children’s diseases;classification comparison of activity distraction detection in car driving;classification of mobile usage car driving activities using convolutional neural network;explainable ai prediction of cooking oil prices over time;improving stress detection using weighted score-level fusion of multiple sensor;heart and lung sound monitoring system based embedded system;multi-tier topology design of wireless sensor networks using multi-objective particle swarm optimization;parameter fault estimation in distributed heating/cooling systems;and an in-depth analysis of cooperative multi-robot hierarchical reinforcement learning.

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SenSys 2018 - Proceedings of the 16th conference on embedded networked sensor systems

SenSys 2018 - Proceedings of the 16th Conference on Embedded...

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16th acm conference on embedded networked sensor systems, SENSYS 2018

ISBN: (纸本)9781450359528

the proceedings contain 87 papers. the topics discussed include: automatic unusual driving event identification for dependable self-driving;sentio: driver-in-the-loop forward collision warning using multisample reinforcement learning;CapBand: battery-free successive capacitance sensing wristband for hand gesture recognition;e-eye: hidden electronics recognition through mmWave nonlinear effects;Hidebehind: Enjoy voice input with voiceprint unclonability and anonymity;mixer: efficient many-to-all broadcast in dynamic wireless mesh networks;ShieldScatter: improving IoT security with backscatter assistance;fabric as a sensor: towards unobtrusive sensing of human behavior with triboelectric textiles;and continuous low-power ammonia monitoring using long short-term memory neural networks.

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Research on Quality Monitoring System of Industrial Circulating Cooling Water Based on Cloud Platform

Research on Quality Monitoring System of Industrial Circulat...

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International conference on Computer Engineering and Applications (ICCEA)

作者： Li Liu Jiexia Yang Intelligent Manufacturing Department Anhui Vocational and Technical College Hefei China

ISBN: (数字)9798350386776

ISBN: (纸本)9798350386783

Aiming at solving the problems of water quality detection of industrial circulating cooling water, a cloud platform based online monitoring system for industrial circulating cooling water was designed using multiple technologies such as sensors, embedded systems, and cloud platforms. the system design mainly involves selecting core detection parameters that can basically characterize the water quality of the circulating cooling water, collecting data through corresponding sensors, transmitting it to the microcontroller for processing, and then connecting to the cloud platform using the MQTT protocol through the ESP8266 wireless communication module to establish an online monitoring system. the system can achieve real-time display of data, historical records, abnormal alarms, data downloads, and other functions. It has the advantages of high parameter collection efficiency, real-time transmission, and intuitive remote monitoring images, and has high application value.

关键词： Wireless communication embedded systems Cooling Water quality sensor phenomena and characterization Real-time systems sensor systems

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