Very low-field (0.05T) MR repeatability data

Very low-field MR has emerged as a promising alternative to high-field MRI scanners, offering several advantages. The major benefits are that very low-field scanner are portable and affordability and low maintenance. However, challenges remain in integrating very low-field MRI into clinical practice and ensuring their widespread adoption in both high and low-resource settings. Some of the limitations include lower signal-to-noise ratio (SNR), low spatial resolution, and long scan time. Also, these systems are susceptible to environmental factors such as temperature, humidity, electromagnetic interference (EMI) and magnetic field inhomogeneity, and gradient heating. The repeatability data was acquired on in vitro phantom (ProMRI, ProProject, USA) at 0.05T from MultiWave Technologies, France.The data was collected over 10 days (folders D1 to D10) with each folder containing 3 subfolders for 3 sessions (S1 to S3). Each session had a 3D TSE folder and two off-resonance (ΔB0) maps (before and after 3D TSE). The B0 folder had two 3D TSE sequences with an echo shift of 49μs between them. The Findf0 folder had f0 measurements before and after each scan to evaluate the effect of frequency drift on the image. We have also included phantom data acquired using Siemens 3T Skyra scanner with a 20-channel head and neck coil.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Middleware service oriented earthquake detection in advance using WSNs

A Wireless Sensor Network (WSN) is a set of sensor nodes that collects the information from environment and sends to base station (Header Node or Central Node). WSNs are application specific, hence all design considerations are different for each application. This paper highlights the technique like animals as mobile biological sensors and it is based on existing animals tracking systems used for zoological studies and space-bound/earth-bound observational techniques. The abnormal behaviour of animals prior to earthquake occurrence in seismically active region can be used to predict the earthquake because animals have relatively more capability than humans to perceive certain kind of geophysical stimuli which may precede earthquake. The space-bound and earth-bound observational techniques can be used to detect early warning signals from places where stress builds up deep in the earths crust that may lead to a catastrophic earthquake. Middleware for WSN is a software infrastructure with heterogeneous features that binds together the different applications, network hardware, operating systems, and network stacks. The task of middleware is to act as an interface between WSNs and end user system, it will process data which is taken from sensor devices and bio-sensors. © 2012 IEEE