As the number of heterogeneous systems in Systems-on-Chip (SoCs) increases, bus-based interconnection architectures act as a bottleneck to meet the performance required by many applications. For systems with very high ...

Edge computing has emerged as a promising paradigm for meeting the requirements of resourceintensive applications by processing data at the network edge. The aim of our project is to optimise the end to end tail latency ...

The necessity of large labeled training database is ubiquitous now with the development of deep neural networks. But there are multiple challenges to collecting labeled data, with the primary concerns being time and cost ...

Video summarization is an important step in analysing video feeds in various scenarios such as surveillance, events and other applications. However, it is a challenging task due to inherent dynamic nature of video due to ...

Deep learning systems require a large amount of labelled training dataset. However large amount of labelled data is not available in many cases as it requires considerable human effort to label each sample correctly. In ...

Nowadays, Non-Volatile Memories (NVM) is part of every electronic system which requires any data storage when power supply is off. Out of many available NVM solutions, Flash memories are the most powerful and cost effective ...

The shepherding problem is a problem setting in the multi-agent systems domain. The primary aim is to guide or ‘shepherd’ a swarm of unwilling agents to a destination, with the help of autonomous agents. We explore this ...

Decoy Routing, the use of routers (rather than end hosts) as proxies, shows great promise as an anti-censorship mechanism. To use a Decoy Router, the user sends specially crafted packets, apparently to an uncensored website. ...

Stack Overflow, a Q&A site on programming, awards reputation points and badges (game elements) to users on performing various actions. Situating our work in Digital Signaling Theory, we investigate the role of these game ...