A DYNAMIC PROCESSING SYSTEM FOR SENSOR DATA IN IOT

A Dynamic Processing System for Sensor Data in IoT

RCD Safety Switch With the development of the Internet of Things (IoT for short), innumerable Wireless Sensor Networks (WSNs) are deployed to capture the information of environmental status in the surrounding physical environment.The data from WSNs, called sensor data, are generated in high frequency.Similar to data of other open-loop applications,

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Serial Interval and Generation Interval for Imported and Local Infectors, Respectively, Estimated Using Reported Contact-Tracing Data of COVID-19 in China

The emerging virus, COVID-19, has caused a massive outbreak worldwide.Based on the publicly available contact-tracing data, we identified 509 transmission chains from 20 provinces in China and estimated the serial interval (SI) and generation interval (GI) of COVID-19 in China.Inspired by different possible values of the time-varying reproduction n

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FEA-Swin: Foreground Enhancement Attention Swin Transformer Network for Accurate UAV-Based Dense Object Detection

UAV-based object detection has recently attracted a lot of attention due to its diverse applications.Most of the existing convolution neural network based object detection models can perform well in common object detection cases.However, due to the fact that objects in UAV images are spatially distributed in a very dense manner, these methods have

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Clonality analysis and IDH1 and IDH2 mutation detection in both components of dedifferentiated chondrosarcoma, implicated its monoclonal origin

Dedifferentiated chondrosarcoma (DDCS) is a highly malignant tumor that belongs to an uncommon subtype of chondrosarcoma with a poor prognosis.Microscopically, it is composed of highly differentiated chondrosarcoma and highly malignant noncartilaginous sarcomas with an abrupt interface.The question of whether the two components originated from the

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