Xiyu Shi

TL;DR: This study presents a novel spatial audio coding (SAC) technique, called analysis by synthesis SAC (AbS-SAC), with a capability of minimising signal distortion introduced during the encoding processes, and proposes a sub-optimal AbS optimisation, based on the closed-loop R-OTT module.

TL;DR: The objective is to utilize sensors in home settings in the least invasive manner for the robot to learn about its dynamic surroundings and interact in a human-like manner by leveraging IoTs within a framework of Scalable Multi-layered Context Mapping Framework.

TL;DR: Results show that network performance significantly deteriorates when malicious nodes act according to the defined misbehaving characteristics, and the consequences will be simulated and quantified in terms of loss of packets and other factors.

TL;DR: Rigorous security and privacy analyses of the proposed scheme have been provided along with a concrete set of parameters to achieve 128-b and 256-b security, and performance analysis shows that the scheme is at least five orders faster than the Paillier schemes and at least twice as fast than the existing randomization technique at 128- b security.

TL;DR: A novel approach to blind moving source separation by detecting, tracking and separating speakers in real-time using intensity vector direction (IVD) statistics, which has an advantage of using a small coincident microphone array to separate any number of moving sources utilising the first order Ambisonics signals.