The effect of genre on syntactic complexity in English L2 writing

By using second language (L2) written corpus data, this study explores the effect of different genres (i.e., argumentative, expositive, narrative, and descriptive) on syntactic complexity measures. Previous studies have noted that specific genres require unique sets of linguistic features, including measures associated with syntactic complexity. Therefore, the analysis will identify which complexity features are uniquely […]

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Reinforcement Learning Based Constrained Control Applications

The main issue of the proposal hinges on the application of Data driven approaches for Model Predictive Control (MPC) applications. MPC is an optimization based control methodology well known in literature which is extremely popular when considering constrained control problems. The main drawback of MPC is the need of an accurate model plant to solve […]

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Optimization of DC-DC converters for DC microgrid interfaces

Distributed Energy Resources are key elements in de-centralized power systems. By deploying them close to the consumer nodes, one can address the increases in power demand while bypassing investment in transmission and distribution systems. The proposed research work concerns the optimization of DC-DC interfaces for DC microgrids. It will consider different types of semiconductors (Si, […]

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Neural Correlates of Distinctive Features

The project utilizes functional magnetic resonance imaging (fMRI) to identify brain areas involved in processing speech sounds. We make use of simple English minimal pairs, words that differ in just one sound in the same position (e.g. sip vs. zip), to scan pariticipants’ brains while they perform three different kinds of tasks — uttering words […]

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The Effects of Large-Scale Social Movements on Language Attitudes: A Mixed-Methods Investigation of Cantonese and Mandarin in Hong Kong

In an era where mass protests are happening with increasing frequency across the globe, there has been a growth in research interest on why people participate in social movements. However, consequences of social movements have received less attention (Louis, 2009). One especially understudied area is how attitudes towards language, a core aspect of group identity, […]

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Real-time Trajectory Tracking Controller of an Aircraft using Imitation NMPC

Autonomous flying vehicles are the future of aerospace industry. They require a robust trajectory tracking algorithm capable of finding an optimal solution in real-time. Optimal control, such as Nonlinear Model Predictive Control (NMPC) is a powerful technique which can handle the nonlinearities of a system by including the restrictions and constraints of its states and […]

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Hygrothermal effects on adhesively bonded CFRP-to-concrete systems

The use of fibre-reinforced polymer materials has been continuously increasing as an alternative to traditional materials, due to their superior durability (absence of corrosion), lightweight, low maintenance cost, and rapid installation. Adhesive bonding techniques for strengthening existing structures, such as near-surface mounted (NSM) and externally bonded reinforcement (EBR) are usually preferable. The long-term performance of […]

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Journalistic Role Performance in Climate Change Reporting

Journalists, when curating news, typically rely on enacting certain “voices” and frame content according to established norms. Using Claudia Mellado’s Journalistic Role Performance methodology — which has divided all journalistic roles into the following categories: the watchdog, citizen-watchdog, the loyal-facilitator, the interventionist-disseminator, the service, the infotainment and the civic roles — evaluate common journalistic roles […]

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A trajectory optimization-based framework for cooperative multi-robot object transportation

The proposed project on cooperative multi-robot systems addresses one of the recognized major challenges and opportunities in collaborative robotics (Cobots). For multi-robot groups, optimizing transportation efficiency for the workpiece while at the same time achieving whole-body obstacle avoidance in a cluttered manufacturing environment is highly involved due to the physical coupling of the system between […]

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Encrypted control for Cyber-Physical Systems

The project is devoted to make encrypted control systems more practical and valuable to the industry and ensure the security of safety-critical industrial control systems. The research outcome is the development of a novel computationally efficient and secure MPC-based encrypted control system that is appealing to a wide range of safety-critical industrial sectors, including but […]

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