Wireless Networking
This Dataset provides input data for the development of the B-RAN and attacks models for the NANCY framework,to model training and model inference functions. The data collected plays the role of ML algorithm-specific data preparation. The dataset contains time-series, collected transmitting a video content through the Italtel "VTU - video streaming and transcoding application", that can convert audio and video streams from one format to another, at multiple encodings schemes, changing resolution, bitrate, and video parameters.
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The dataset Provides S-parameter measurements of an AI enhanced wireless power transfer system using two ISO/ICE 14443-1 Coils with series capacitance compensation at 13.56 MHz under three configurations of vertical and horizontal misalignment, inter-coil distance, and azimuthal tilt. The structure and components of the system is shown in the Image attached to the Dataset This measured data validates the implementation of the system at the three coil configurations discussed in the publication.
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The paper proposes a systematic approach for the design of a conformal U-shaped series-feed microstrip antenna array (US-SFMA) using true time delay phase shifters. The presented study describes the design procedure of conformal SFMA without the use of additional element to tune its spectral and radiation performance.
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Recent advances in Wi-Fi sensing have ushered in a plethora of pervasive applications in home surveillance, remote healthcare, road safety, and home entertainment, among others. Most of the existing works are limited to the activity classification of a single human subject at a given time. Conversely, a more realistic scenario is to achieve simultaneous, multi-subject activity classification. The first key challenge in that context is that the number of classes grows exponentially with the number of subjects and activities.
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Vehicle-to-Everything (V2X) potential to support Intelligent Transportation System (ITS) is challenged by its inherent high mobility, changing topology and consequently link instability. The quest to minimize the effect of changing topology has led centroid-based clustering algorithms to exploit Cluster Head (CH) longevity approaches to improve stability while compromising on throughput performance. Most K-means based schemes particularly reselect cluster seeds at every reclustering phase.
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Human-robot interaction remains a significant challenge for mobile robots performing as social robots, which are expected to coexist, collaborate, and be cognitive with persons to enhance efficiency and reduce labor strength. Typically, escort robots can be widely employed for accompanying elderly and youth outdoors, guiding visitors in exhibition halls and museums, and sorting goods in warehouses.
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The enhanced dataset is a sophisticated collection of simulated data points, meticulously designed to emulate real-world data as collected from wearable Internet of Things (IoT) devices. This dataset is tailored for applications in safety monitoring, particularly for women, and is ideal for developing machine learning models for distress or danger detection.
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In this paper, we investigate the feasibility of THz
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This dataset contains measured data from five sensor modules designed for monitoring the oxygen concentration in the air in a hospital environment, especially in rooms where oxygen therapy can potentially occurs. This data is crucial from a safety point of view, as a higher oxygen concentration can increase the risk of fire development.
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In this dataset, 4 radio channel measurements at 28 GHz are presented. These have been captured in two different spots of a highway with a fixed Tx and a mobile Rx onboard a car, emulating a V2I link. The Tx was placed both on the roadside (3 measurement runs) and on an overpass (1 measurement). Each run consists of around 4.29 s of continuously captured channel impulse responses (CIRs), with a channel sampling period of 65 μs and a delay resolution of 2 ns.
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