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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41-50 订阅

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the Research on Sheet Metal Part Recognition Technology Based on Improved Mask R-CNN 5

The Research on Sheet Metal Part Recognition Technology Base...

引用

5th International conference on Machine Learning and Computer Application, ICMLCA 2024

作者： Liu, Mingfei Liu, Jun Zhou, Kecheng Wang, Jian School of Computer Science and Technology Shenyang University of Chemical Technology Key Laboratory of Industrial Intelligence Technology on Chemical Process Liaoning Province Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Chinese Academy of Sciences Shenyang110016 China

ISBN: (纸本)9798331530334

the visual recognition of sheet metal parts is a crucial component of industrial automation sorting, particularly under complex lighting and background interference conditions. To enhance the accuracy of sheet metal part recognition, this paper curates a dataset of sheet metal parts acquired by an intelligent light field image sensor and proposes a visual recognition model, PA-CBAM, based on an improved Mask R-CNN. By improving the original feature pyramid FPN and introducing the Convolutional Block Attention Module (CBAM), the model enhances multi-scale feature fusion and the focus on key features: (1) Bottom up paths and shortcut connections have been added between different layers of the traditional FPN feature pyramid, thereby improving multi-scale object detection capability. (2) CBAM further optimizes the model's channel and spatial attention mechanisms, effectively enhancing the capture of edge details and the suppression of background noise. Experimental results show that the proposed PA-CBAM model significantly improves detection and segmentation performance compared to traditional methods, particularly in terms of edge recognition accuracy for sheet metal parts under complex lighting conditions. © 2024 IEEE.

关键词： Sheet metal

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Smart Wearable embedded systems for Human Activity Recognition (HAR) Using Edge Computing 5

Smart Wearable Embedded Systems for Human Activity Recogniti...

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

作者： Dusarlapudi, Kalyan Chethansimha, Myla Kasukurthi, RaviTeja Menon, Tanniru Swetha Shashank, Epuri Sai Srinivas, Kunda Sai Koneru Lakshmaiah Education Foundation Eee Department Guntur Vaddeswaram India Koneru Lakshmaiah Education Foundation Cse Honors Department Guntur Vaddeswaram India

ISBN: (纸本)9798350379945

the medical industry is currently utilizing a significant number of automated tools. the hardware is examined and used on both healthy individuals and those who have Covid-19 to capture breathing data, and a correlation has been found between them. A person's gait can be determined. this study also uses Kodular app, ESP32 module and ADXL335 Accelerometer sensor as an apparatus for detecting the changes. there are no complicated components or wiring needed for the ADXL335 accelerometer circuit, making it simple. It has a direct connection to an Arduino. the spread of these wearable gadgets increases the variety of their applications. With the development of wearable technologies that can process and store enormous amounts of health data, continuous human body monitoring is becoming more common. there are numerous technologies that enable the capture of movement among them. Accelerometers are the most frequently cited because they are already found in many devices, use little power, and cost little, theyhave been studied by researchers. and produce outstanding results. the fall detection system can be used in elderly fall detection system, monitoring the hospital patients, wheelchair person falls, etc. Finding anomalies in the large datasets that can be utilized to calculate the respiration rate is the study's aim. the designed system can be further used in many other applications where a fall need to be detected or where a fall is needed. © 2024 IEEE.

关键词： Accelerometers

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ECCO-Box: An Edge Computing and Connectivity Framework 21

ECCO-Box: An Edge Computing and Connectivity Framework

引用

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

作者： Blähser, Jannik TH Köln Moxd lab Cologne Germany

ISBN: (纸本)9781450390972

the ECCO-Box is a framework to establish connectivity of heterogeneous devices and sensors and distribute computing on the computing continuum dynamically at runtime. the goal of the dissertation is to design an architecture concept and develop a working prototype as a proof of concept. there are several requirements to the application which have to be fulfilled and will be evaluated in the form of an experimental study in the end. the main use case of the application will be processing of sensor data and analysis with artificial intelligence in an industrial environment. © 2021 Owner/Author.

关键词： Edge computing

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Hand Gesture Recognition System Using the Dynamic Vision sensor 5

Hand Gesture Recognition System Using the Dynamic Vision Sen...

引用

5th International conference on Circuits, systems and Simulation (ICCSS)

作者： Hu, Yu Li, Ziteng Li, Xinpeng Li, Jianfeng Yu, Xintong Chen, Xiaofan Wang, Lei Natl Univ Def Technol Coll Comp Sci & Technol Changsha Peoples R China

ISBN: (纸本)9781665481199

With the rapid development of computer vision and artificial intelligence, human-computer interaction has become an inevitable part of people's lives. Gestures can bring more natural, comfortable, and effective communication between people and machines. However, in some complex scenarios, such as rooms with looming lighting, the robustness and universality of hand gesture recognition based on traditional cameras are insufficient, and the supporting algorithms tend to underperform in real-time, especially for embedded devices. this article explores methods of implementing gesture recognition based on Dynamic Vision sensor (DVS). We obtained frame data by event-based accumulation and timebased accumulation. then we apply preprocessing techniques such as sub-time window and overlapping frame to achieve higher accuracy on hand gesture recognition with the DVS. In this paper, we built a DVS-based gesture recognition system with the advantages of efficient data preprocessing, low memory cost, low latency, and competitive recognition ability in interaction scenarios. the recognition accuracy reaches 94.6%.

关键词： gesture recognition dynamic vision sensor neural network framing data preprocessing

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Autonomous Energy Status Sharing and Synchronization for Batteryless sensor Networks 21

Autonomous Energy Status Sharing and Synchronization for Bat...

引用

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

作者： Torrisi, Alessandro Ylldlrlm, Kaslm Sinan Brunelli, Davide University of Trento Italy

ISBN: (纸本)9781450390972

Reliable communication and synchronization for transiently-powered batteryless sensors are still open challenges. this paper presents a method to synchronize and ensure reliable communication over batteryless sensors with zero energy cost requirements. Our preliminary design combines visible light communication (VLC) and radio-frequency (RF) backscatter into a self-powered autonomous circuit. We enable energy status sharing and communication scheduling services, which provide the fundamental building blocks for future batteryless communication protocols. © 2021 acm.

关键词： Synchronization

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Fall Detection Technique for Older Individuals based on Deep Layered Neural Networks embedded with Transfer Learning 5

Fall Detection Technique for Older Individuals based on Deep...

引用

5th International conference on Smart systems and Inventive Technology, ICSSIT 2023

作者： Deepika, J. Akilandeswari, J. Sona College of Technology Department of Information Technology India

ISBN: (纸本)9781665474672

the vital priority of the society is to render helping hand to most fragile category of people such as older individuals, neurogenerative disease affected patients, etc. to lead their normal routine social life being physically active without lowering their quality of life and not losing their autonomy. As ageing progress, the elderly adults experience falls and those consequences lead to lesser quality of life due to the injuries occurred L this further adds to the fear of falling and reduced physical activity. the first solution of protection against the negative effects of falling is to identify fragility and high fall risk at an early stage. the development of novel techniques to identify potential fallers before any fall occurs would be the second solution of protection. the Artificial lntelligence (AD technique is used to examine and prevent falls from the signal-hised image gathered from the gyroscope or the accelerometer sensor information. the several layers of convolutional neural network are used with different dilation rates for extracting different categories of feature selection. the performance evaluation hised on the experimental results on the signal image dataset proves higher accuracy of classification rate. © 2023 IEEE.

关键词： Convolutional neural networks

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A Textile Based Capacitive Pressure and Shear Force sensor 5

A Textile Based Capacitive Pressure and Shear Force Sensor

引用

5th IEEE International conference on Flexible and Printable sensors and systems, FLEPS 2023

作者： Schuler, Stephan Petz, Phillip Eibensteiner, Florian Langer, Josef University of Applied Sciences Upper Austria Embedded Systems Lab Hagenberg Austria

ISBN: (纸本)9781665457330

Measuring the performance of an athlete during sports is currently a high area of interest. Where smart watches present a convenient and practicable way to acquire ones vital parameters, other types of measurements like force measurements need additional equipment. In specific applications, like cross-country skiing, conventional force sensors cannot be used to measure these forces, because the required space would impact the athlete in the performance negatively. the circumstances urge us to have a closer look at other approaches like textile based capacitive sensors for pressure and shear force measurement which utilise conductive silver coated yarns. With them it is possible to create small footprint and flexible sensor systems which are able to detect tensile forces in multiple directions. therefore a sensor architecture is presented, which fulfills this requirement and present a textile prototype of such a pressure and shear force sensor. this prototype is further characterized and tested with different angles of force and long-term measurements to evaluate any drift in sensor data. the test results confirm the functionality of the sensor architecture, which provides the fundamentals for future applications. © 2023 IEEE.

关键词： Capacitive sensors

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RF Power Transmission: Energy Harvesting for Self-Sustaining Miniaturized sensor Nodes 21

RF Power Transmission: Energy Harvesting for Self-Sustaining...

引用

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

作者： Villani, Federico Mayer, Philipp Magno, Michele ETH Zurich Switzerland

ISBN: (纸本)9781450390972

Radio Frequency (RF) energy transfer is an emerging technology to supply perpetually the new generation of internet of things devices. the proposed work shows the design and implementation of RF power transmission circuits the possible usages as a power source for batteryless devices. the realized circuits can receive power in the order of 1-10 mW depending on the distance from the transmitter, size, and antenna efficiency, allowing the deployment of these rectification circuits in any low power sensing network that requires a reliable and controllable power source. this paper will introduce and illustrate the preliminary results achieve for the work done for in a life-demo. © 2021 Owner/Author.

关键词： sensor nodes

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Poster Abstract: CARTS: Cooperative and Adaptive Resource Triggering for 5G ISAC 25

Poster Abstract: CARTS: Cooperative and Adaptive Resource Tr...

引用

Proceedings of the 23rd acm conference on embedded networked sensor systems

作者： Cheng Jiang Yihe Yan Yanxiang Wang Chun Tung Chou Wen Hu The University of New South Wales Kensington Australia University of New South Wales Kensington Australia UNSW Data61-CSIRO Kensington Australia UNSW Kensington Australia

ISBN: (纸本)9798400714795

this poster presents CARTS, an adaptive 5G uplink sensing scheme that jointly uses the estimated CSI from both data channel reference signal (DMRS) and channel sounding reference signal (SRS) to improve the UE sensing capacity with minimal degradation in communication performance. In order to efficiently combine the estimated CSIs from these two reference signals, CARTS features a real-time SRS triggering algorithm to complement the channel estimations from the DMRS. Besides, to address asynchornization issues caused by DMRS and SRS, which are sampled at different time and frequency bands, CARTS applies a new channel stitching and compensation method.

关键词： 5G

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Robust and Affordable Deep Learning Models for Multimodal sensor Fusion 21

Robust and Affordable Deep Learning Models for Multimodal Se...

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

作者： Xaviar, Sanju University of Alberta EdmontonAB Canada

ISBN: (纸本)9781450390972

Deep fusion networks have received considerable attention lately due to the growing adoption of IoT devices, smartphones, and wearables that incorporate multiple sensing modalities, and their promising applications from human activity recognition to smart home automation. Despite recent advances in this area, there are several practical requirements that are often overlooked. Specifically, fusion networks must maintain their performance during momentary and long-term changes in the environment, be robust to sensor data quality issues, and have a reasonable size so that they can be deployed on resource-constrained devices. My PhD research aims to address these challenges by building robust multimodal fusion networks that rapidly generalize to new environments and have a smaller number of trainable weights, hence lower memory and carbon footprints. © 2021 Owner/Author.

关键词： Carbon footprint

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