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Now showing items 11-20 of 92
Delay-based network utility maximization modelling for congestion control in name data networking
(IEEE, 2021-10-05)
Content replication and name-based routing lead to a natural multi-source and multipath transmission paradigm in NDN. Due to the unique connectionless characteristic of NDN, current end-to-end multipath congestion control ...
Dynamic collaboration of centralized & Edge processing for coordinated data management in an IoT paradigm.
(IEEE, 2018-05)
Over the past decade, much focus in the area of Technology has deviated towards two relatively new areas; "The Internet of Things" and "Machine Learning". Although completely separate technologies, they have one major ...
Single system image: a survey
(Elsevier, 2016-04)
Single system image is a computing paradigm where a number of distributed computing
resources are aggregated and presented via an interface that maintains the illusion of
interaction with a single system. This approach ...
Low-complexity high-performance deep learning model for real time low cost embedded fire detection system.
(Elsevier, 2020)
Correct and timely detection of fires has been an active area of research. Both shallow learning (with manual feature engineering),
as well as deep learning (with its promise of automatically extracting meaningful ...
Situational awareness based risk-adaptable access control in enterprise networks.
(Association for Computing Machinery, 2017-03)
As the computing landscape evolves towards distributed architectures such as Internet of Things (IoT),
enterprises are moving away from traditional perimeter based security models toward so called “zero trust
networking” ...
Preserving chain-of-evidence in surveillance videos for authentication and trust-enabled sharing
(IEEE, 2020)
Surveillance video recording is a powerful method of deterring unlawful activities. A robust data protection-by-design solution can be helpful in terms of making a captured video immutable, as such recordings cannot become ...
Tunable memristor emulator using off-the-shelf components.
(Elsevier, 2020)
Emerging memristor technology is as of late drawing broad consideration due to its potential for several applications. But, the non-availability of solid-state memristive devices puts a practical limitation. So, this paper ...
Digital twins collaboration for automatic erratic operational data detection in industry 4.0
(MDPI, 2021-04-02)
Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and ...
Cooperative industrial multi robot system using multi agent reinforcement learning
(Athlone Institute of Technology, 2020-06)
This poster describes the research definition process for thisearly stage PhD.
Our goal is to investigate the feasibility of using multi-agent deep learning (MADRL) as an approach for solving cooperative multi robot system ...
Machine learning for smart environments in B5G networks: connectivity and QoS
(Hindawi, 2021-09-20)
The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and ...