Published in Heliyon
Frequency tracking; Frequency estimation; Bayesian filtering; Adaptive resampling; Particle filter; Markov chain Monte Carlo; Signal processing; Electrical engineering; Computer engineering
The spiking neural network (SNN) is an emerging brain-inspired computing paradigm with the more biologically realistic spiking neuron model. As the third generation of artificial neural networks (ANNs), SNNs are theoretically shown to possess greater computational power than the conventional non-spiking ANNs and are well suited for spatio-temporal ...
Most existing reliable transport protocols in the current Internet architecture, like TCP, rely on an end-to-end connection as the main architectural construct to implement reliable transfer of data. This has become a big problem for content- oriented Internet applications because connections are brittle; in most protocols, the context exchange mus...
This dissertation focuses on the challenges arising from real-time autonomous cyber-physical systems. Since many cyber-physical applications increasingly require high performance to run complex functionalities, e.g., self-driving software stacks, it is essential to use limited resources efficiently on resource-constrained embedded platforms. Beside...
Inertial complex activity recognition and neural inertial navigation are challenging due to missing samples, misaligned data timestamps across sensor channels, variations in sampling rates and high model deployment costs. In this thesis, we introduce a robust training pipeline for complex activity detection that handles sampling rate variability, m...
The emergence of the Internet of Things (IoT) has enabled an unprecedented expansion of interconnected networks and devices over which a huge amount of personal and/or sensitive data is carried. As a result, privacy and security issues are among the most significant challenges in designing IoT devices. These challenges can hardly be addressed using...
Distributed systems are the backbone of a wide range of highly important applications, but developing and debugging such systems become tricky with the synchronization mechanism needing to meet critical consistency and latency requirements. A range of models, frameworks and languages have been developed to tackle such complexity in allowing a share...
Dialogue systems, also known as conversational agents, are intelligent computer systems which converse with a human via natural language (text, or speech). They generally fall into two categories based on their applications, that is, chit-chat dialogue systems (chatbots) and task-oriented dialogue systems. The former is primarily interacting with h...
Additive manufacturing (AM) lends itself as a powerful tool which leverages the automated fabrication of digital product definitions through the computer numerical control of physical toolpaths. The process conventionally requires modification of these digital definitions for compatibility with the physics governing that fabrication process; this c...
As the size of the electronics in mobile and IoT devices scales down while performance demands scale up, power management integrated circuits (PMICs) face increasing pressure to provide highly efficient conversion in increasingly small areas. Most modern mobile devices are powered from Li-ion batteries that operate between 3-5 V. However, the syste...
