Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Mahesh Sooriyabandara"'
Autor:
Ioannis Mavromatis, Yichao Jin, Aleksandar Stanoev, Anthony Portelli, Ingram Weeks, Ben Holden, Eliot Glasspole, Tim Farnham, Aftab Khan, Usman Raza, Adnan Aijaz, Thomas Bierton, Ichiro Seto, Nita Patel, Mahesh Sooriyabandara
Publikováno v:
IEEE Access, Vol 12, Pp 42181-42213 (2024)
UMBRELLA (A Living Laboratory: https://www.umbrellaiot.com/) is an open, large-scale IoT ecosystem deployed across South Gloucestershire, UK. It is intended to accelerate innovation across multiple technology domains. UMBRELLA is built to bridge the
Externí odkaz:
https://doaj.org/article/933f373a442047c58895f36cfcce13de
Autor:
Ioannis Mavromatis, Aleksandar Stanoev, Pietro Carnelli, Yichao Jin, Mahesh Sooriyabandara, Aftab Khan
Publikováno v:
Data in Brief, Vol 45, Iss , Pp 108658- (2022)
A dataset of street light images is presented. Our dataset consists of ∼350 k images, taken from 140 UMBRELLA nodes installed in the South Gloucestershire region in the UK. Each UMBRELLA node is installed on the pole of a lamppost and is equipped w
Externí odkaz:
https://doaj.org/article/253d84bc85ec4a4abba662c283b33a99
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 7, Iss 3, Pp 497-509 (2021)
Externí odkaz:
https://doaj.org/article/841305038178470d953472676a427a0b
Autor:
Michael Baddeley, Usman Raza, Aleksandar Stanoev, George Oikonomou, Reza Nejabati, Mahesh Sooriyabandara, Dimitra Simeonidou
Publikováno v:
IEEE Access, Vol 7, Pp 96019-96034 (2019)
The adoption of software defined networking (SDN) within traditional networks has provided operators the ability to manage diverse resources and easily reconfigure networks as requirements change. Recent research has extended this concept to IEEE 802
Externí odkaz:
https://doaj.org/article/948b4bd9002e42d7a4ba94c949382ac4
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 11, Pp n/a-n/a (2020)
Many‐robot systems are becoming a reality for large companies that can invest in bespoke solutions. These systems often require carefully engineered infrastructure and a central planner to coordinate the robots. Outside these controlled environment
Externí odkaz:
https://doaj.org/article/8183e6ad391b4ec0a02a2cfc645df6c9
Autor:
Daniel Carrillo-Zapata, Emma Milner, Julian Hird, Georgios Tzoumas, Paul J. Vardanega, Mahesh Sooriyabandara, Manuel Giuliani, Alan F. T. Winfield, Sabine Hauert
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Many real-world applications have been suggested in the swarm robotics literature. However, there is a general lack of understanding of what needs to be done for robot swarms to be useful and trusted by users in reality. This paper aims to investigat
Externí odkaz:
https://doaj.org/article/3e4059428e654b5f8b2502d8e1925dfe
Publikováno v:
IEEE Access, Vol 6, Pp 234-244 (2018)
The latest 6TiSCH standard enables highly reliable industrial monitoring and control applications through deterministic wireless communications and efficient allocation of radio resources among wireless nodes. However, much of these benefits are tied
Externí odkaz:
https://doaj.org/article/7d79be6b5cde4c66a7fb1f848da860be
Publikováno v:
International Journal of Digital Multimedia Broadcasting, Vol 2011 (2011)
We present some of the ongoing standardisation work in M2M communications followed by the application of machine-to-machine (M2M) communications to smart grid. We analyse and discuss the enabling technologies in M2M and present an overview of the com
Externí odkaz:
https://doaj.org/article/edc6259bbcd643bb8afdba523a0b1c27
Publikováno v:
Artificial Life and Robotics. 27:365-372
Out-of-the-box swarm solutions powering industrial logistics will need to adapt to the tasks at hand, coordinating in a distributed manner to transport objects of different sizes. This work designs and evaluates a collective transport strategy to mov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb3b92cb0fcf761277101c4a2e1c3cf9
https://doi.org/10.1007/s10015-022-00730-5
https://doi.org/10.1007/s10015-022-00730-5
Autor:
Alexandros Zenonos, Mahesh Sooriyabandara, Yaowei Wang, Georgios Kalogridis, Stefanos Vatsikas, Aftab Khan
Publikováno v:
ACM Transactions on Computing for Healthcare. 2:1-16
Automated mood recognition has been studied in recent times with great emphasis on stress in particular. Other affective states are also of great importance, as studying them can help in understanding human behaviours in more detail. Most of the stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9aba2b187f5feac42ab344b955e7c5
https://doi.org/10.1145/3422819
https://doi.org/10.1145/3422819