Browsing Conferences - Software Research Institute by Author "Athlone Institute of Technology"
Now showing items 1-8 of 8
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A crowdsourcing-based QoE evaluation of an immersive VR autonomous driving experience
(IEEE, 2021-06-30)Due to COVID-19, crowdsourcing has gained momentum as an alternative methodology for continuing research and for Quality of Experience (QoE) assessment. Employing this approach, we remotely evaluated the user perceived QoE ... -
Deep learning based stable and unstable candle flame detection
(Springer, 2021-02-06)This paper presents a deep learning based solution for identification of normal and abnormal candle flames, controlled and uncontrolled flames. Candle flames affected by external factors like wind, improper combustion of ... -
A framework for the dynamic generation of workflows for network management
(IEEE, 2021-06-30)A demonstration of the application of dynamically generated workflows to the management of a network environment is presented. A proposed workflow management framework (WMF) uses dynamically generated workflows to control ... -
Hop-by-hop congrestion measurement and practical active queue management in NDN
(IEEE, 2020-12)Content replication and name-based routing in Named Data Network (NDN) naturally lead to connectionless multi-source and multipath transmissions. Traditional congestion control designed for end-to-end connections cannot ... -
Intelligent monitoring of IoT devices using neural networks
(IEEE, 2021-03-29)The Internet of Things (IoT) has seen expeditious growth in recent times with 7 billion connected devices in 2020, thus leading to the vital importance of real-time monitoring of IoT devices. Through this paper, we demonstrate ... -
Low-cost gaze detection with real-time ocular movements using coordinate-convolutional neural networks
(United Kingdom Simulation Society, 2019-10)Detection of ocular-movements unfolds various possibilities in computer vision but requires large datasets, expensive hardware and computational power. Prior research substantiates the belief that Convolutional Neural ... -
Unsupervised noise detection in unstructured data for automatic parsing
(IEEE, 2020-11-30)The telecommunications industry makes extensive use of data extracted from logs, alarms, traces, diagnostics, and other monitoring devices. Analyzing the generated data requires that the data be parsed, re-structured, and ... -
A workflow management framework for the dynamic generation of workflows that is independent of the application environment
(IEEE, 2021-06-30)Workflow is a well-known and widely used technology in business management. Traditional workflow solutions are designed for humans and generally use a graphical representation of workflow elements that reflect the involvement ...
