Large intelligent surface for positioning in millimeter wave MIMO systems
Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) system for the fifth generation (5G) cellular communications can also enable single-anchor positioning and object tracking due […]
Iterative Bayesian-based Localization Mechanism for Industry Verticals
We propose and evaluate an iterative localization mechanism employing Bayesian inference to estimate the position of a target using received signal strength […]
How subtle can it get?
Flying drones have become common objects in our daily lives, serving a multitude of purposes. Many of these purposes involve outdoor scenarios […]
Band bending and valence band quantization at line defects in MoS2
The variation of the electronic structure normal to 1D defects in quasi-freestanding MoS₂, grown by molecular beam epitaxy, is investigated through high […]
A vibrational energy harvester based on soft-nonlinearity for truly random excitation
In this paper, we present a nonlinear energy harvester that is based on a “soft-mode” nonlinearity and is able to work in […]
An integrated 9×9 SPAD array with a 10-channel TDC and a CMOS laser diode driver for a wearable time-domain diffuse optics optode
A 9×9 Single-Photon Avalanche Photodiode (SPAD) array with a 10-channel time-to-digital converter and an integrated laser diode driver fabricated in 0.35 μm […]
Rapid fault diagnosis of photovoltaic panels under outdoor environmental conditions
This paper investigates opportunities to rapidly detect defects in photovoltaic (PV) panels. It is worth noting that a defect in a single […]
Developing AI into explanatory supporting models
Using Artificial Intelligence (AI) and machine learning technologies to automatically mine latent patterns from educational data holds great potential to inform teaching […]
One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets
Touchscreen interfaces are shrinking and even dis-appearing on mobile headsets. The existing approaches for text acquisition on mobile headsets, for instance, speech […]
Deep Learning-Based Multimodal Data Fusion
Background: Multimodal wearable technologies have brought forward wide possibilities in human activity recognition, and more specifically personalized monitoring of eating habits. The […]