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List of Acronyms and Abbreviations [chapter]

2005 Machine Vision  
This report was prepared by Economic Development Board Rotterdam (EDBR) in collaboration with a number of higher education institutions in Rotterdam as an input to the OECD Review of Higher Education in  ...  The guidelines encouraged constructive and critical evaluation of the policies, practices and strategies in HEIs' regional engagement.  ...  In terms of its environment, Rotterdam is a junction of motorways, water ways and air traffic. Many districts have been The foundation Pot met Goud op Zuid was formed in January 2005.  ... 
doi:10.1016/b978-012206093-9/50034-4 fatcat:ko2ih6jjbfewxl2bwzblkv3p7u

Integrating human factors in the design of intelligent systems: an example in air traffic control

Serge Debernard, Benoit Guiost, Thierry Poulain, Igor Crevits, David Annebicque, Patrick Millot
2009 International Journal of Intelligent Systems Technologies and Applications  
In the current organisation of air traffic control, some cooperative activities appear in the work of air traffic controllers, especially between Tactical Controllers (TC) and Planning Controllers (PC)  ...  This study took place in three steps. The first step, based on an experimental investigation, allowed the content of the COFOR to be defined.  ...  Acknowledgements We are grateful to the CENA (French Air Navigation Study Center) for their financial support.  ... 
doi:10.1504/ijista.2009.026088 fatcat:arepfs2jwzcbrpvnvssf3cypbm

Design of simulation-based pilot training systems using machine learning agents

J. Källström, R. Granlund, F. Heintz
2022 Aeronautical Journal  
The high operational cost of aircraft, limited availability of air space, and strict safety regulations make training of fighter pilots increasingly challenging.  ...  Through a domain analysis, a user study, and practical experiments, we identify important agent capabilities and characteristics, and then discuss design approaches and solution concepts for training systems  ...  (WASP) funded by the Knut and Alice Wallenberg Foundation.  ... 
doi:10.1017/aer.2022.8 fatcat:ywawtvniqjdztca4wb2o7zz5hq

Harnessing XMPP for Machine-to-Machine Communications & Pervasive Applications

Antti Iivari, Teemu Väisänen, Mahdi B. Alaya, Tero Riipinen, Thierry Monteil
2017 Journal of Communications Software and Systems  
In this paper, we examine the suitability of the Extensible Messaging and Presence Protocol (XMPP) and experiment with its potential to rise to the challenge of machine-to-machine communications and meet  ...  An ever increasing number of interconnected embedded devices, or Machine-to-Machine (M2M) systems, are changing the way we live, work and play.  ...  ACKNOWLEDGEMENTS This work has been partially conducted within the European joint research project A2Nets under ITEA2 cluster project of EUREKA network, to which organisations the authors of this paper  ... 
doi:10.24138/jcomss.v10i3.121 fatcat:lgyucqcoavbdzdohojrjfb3yte

Machine Learning Threatens 5G Security

Jani Suomalainen, Arto Juhola, Shahriar Shahabuddin, Aarne Mammela, Ijaz Ahmad
2020 IEEE Access  
First, virtualization may introduce trust issues: with more cooperating parties and sharing of resource, the risk of insider attacks and information leaking increases [113] .  ...  SECURITY CHALLENGES IN ML AND 5G 5G will utilize various concepts, disciplines, and technologies of ML to not only mitigate the risks involved with human-control, but also to empower wireless networks  ...  He is a co-author of more than 30 scientific publications on network security.  ... 
doi:10.1109/access.2020.3031966 fatcat:pnu4pm6f7rhqhgmw4juaxh6a5u

Choice, sorting and ranking in aerial conflict management

D. Annebicque, I. Crévits, P. Millot, S. Debernard
2010 IFAC Proceedings Volumes  
In the Air Traffic control, many decisions must be taken, quickly. Due to the increase of traffic, these decisions are more and more numerous.  ...  The last part of this paper presents the results we expect to obtain with appropriate interviews and analyse.  ...  , the French Ministry of Higher Education and Research, and the National Centre for Scientific Research.  ... 
doi:10.3182/20100831-4-fr-2021.00007 fatcat:ctirlmmj2nezxab3liipfp727m

From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey

Mohammed Najah Mahdi, Abdul Rahim Ahmad, Qais Saif Qassim, Hayder Natiq, Mohammed Ahmed Subhi, Moamin Mahmoud
2021 Applied Sciences  
This work presents a thorough review of 370 papers on the application of energy, IoT and machine learning in 5G and 6G from three major libraries: Web of Science, ACM Digital Library, and IEEE Explore.  ...  In this work, we have considered the applications of three of the highly demanding domains, namely: energy, Internet-of-Things (IoT) and machine learning.  ...  HCSs A new level of physical experience may be delivered with the use of 6G technology, which enables the provision of HCS services that can be tightly tied with human users.  ... 
doi:10.3390/app11178117 fatcat:4vtzn5cae5eqtnzobtvzysi6mm

Intrusion detection in SCADA systems using machine learning techniques

Leandros A. Maglaras, Jianmin Jiang
2014 2014 Science and Information Conference  
Testbeds and Experiments Small-scale SCADA System The testbed architecture mimics a small-scale SCADA system, comprising the operations and field networks, which include a Human-Machine Interface Station  ...  other agents) and specialized device monitoring components; • A distributed multi-zone, multi-level correlation structure, processing the event feed from the detection sensor layer, complemented by machine-learning  ...  Appendix A Related Publications The main ideas presented in this thesis appear in the following publications:  ... 
doi:10.1109/sai.2014.6918252 fatcat:4ueepuwxezehxknf44kv4q23o4

Manual labour: tackling machine translation for sign languages

Sara Morrissey, Andy Way
2013 Machine Translation  
The native language of the American Deaf Community. ATIS Air Traffic Information System. A corpus of data taken from a dialogue system in the domain of air travel.  ...  Further reordering constraint experiments were performed in later research, Morrissey et al. (2007b) and (Stein et al., 2007) , using air traffic information data in parallel with our own data-driven  ... 
doi:10.1007/s10590-012-9133-1 fatcat:4w2dt2ndrvfqpnkfc422thlrfu

A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning [article]

David Lopez-Perez, Antonio De Domenico, Nicola Piovesan, Harvey Bao, Geng Xinli, Song Qitao, Merouane Debbah
2021 arXiv   pre-print
Then, as a main contribution, we survey in detail -- from a theoretical and a practical viewpoint -- the main energy efficiency enabling technologies that 3GPP NR provides, together with their main benefits  ...  Cellular networks have changed the world we are living in, and the fifth generation (5G) of radio technology is expected to further revolutionise our everyday lives, by enabling a high degree of automation  ...  At a macro-scale level, the new 5G technology enables a new type of networking capability able to connect for the first time both everyone and everything together, including machines, objects, and devices  ... 
arXiv:2101.11246v2 fatcat:rm6e5ubwdnf25kvgdufvtd5uam

Social Internet of Industrial Things for Industrial and Manufacturing Assets**Acknowledgments to financial support of Cambridge Trust and China Scholarship Council

H. Li, A.K. Parlikad
2016 IFAC-PapersOnLine  
We proposed the concept of SIoIT (Social Internet of Industrial Things) which enables the cooperation between assets by sharing status data and optimal operation and maintenance decision-making via analysis  ...  We proposed the concept of SIoIT (Social Internet of Industrial Things) which enables the cooperation between assets by sharing status data and optimal operation and maintenance decision-making via analysis  ...  ACKNOWLEDGEMENTS The authors wish to thank co-workers in DIAL in the Institute for Manufacturing of University of Cambridge.  ... 
doi:10.1016/j.ifacol.2016.11.036 fatcat:2nuixsjwxzevvj3xtmbdat4vmu

Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases [chapter]

Rajesh Singh, Anita Gehlot, Dharam Buddhi
2022 Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases  
A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper.  ...  Chronic Diseases are the most dangerous diseases for humans and have significant effects on human life. Chronic Diseases like heart disease & Diabetes are the main causes of death.  ...  the characteristics of this heat engine as it has a large scope in the energy sector, because besides its limitations Stirling engine when integrated with CSPP can reduce the CO 2 emissions of nearly  ... 
doi:10.13052/rp-9788770227667 fatcat:da47mjbbyzfwnbpde7rgbrlppe

Self-organising Urban Traffic Control on Micro-level Using Reinforcement Learning and Agent-Based Modelling [chapter]

Stefan Bosse
2020 Advances in Intelligent Systems and Computing  
Results from an agent-based simulation of an artificial urban area show that the deployment of micro-level vehicle navigation control just by learned individual decision making and re-routing based on  ...  This work addresses traffic flow optimisation by self-organising micro-level control combining Reinforcement Learning and rule-based agents for action selection performing long-range navigation in urban  ...  The proposed self-organising traffic control is relying on crowd sensing. Crowd sensing can happen between machines (Machine-Machine Interaction, MMI) and between humans and machines (HMI).  ... 
doi:10.1007/978-3-030-55187-2_53 fatcat:pkpbuzt3zvcmpm65hnvax3mewe

The Roles and Modes of Human Interactions with Automated Machine Learning Systems [article]

Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2022 arXiv   pre-print
and risks presented by ever-increasing levels of machine autonomy.  ...  As automated machine learning (AutoML) systems continue to progress in both sophistication and performance, it becomes important to understand the 'how' and 'why' of human-computer interaction (HCI) within  ...  So, in practice, the relationship between human and machine may even be seen as one of collaborative equals, at least for attacking an ML problem.  ... 
arXiv:2205.04139v1 fatcat:kfo3oybsjvfs5gjyt2j3dbaali

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Nicholas R. Jennings, Katia Sycara, Michael Wooldridge
2012 Autonomous Agents and Multi-Agent Systems  
This paper provides an overview of research and development activities in the field of autonomous agents and multi-agent systems.  ...  Some historical context to the field of agent-based computing is given, and contemporary research directions are presented. Finally, a range of open issues and future challenges are highlighted.  ...  See [154] for a comprehensive review of this area. Air Traffic Control: Ljunberg and Lucas [95] describe a sophisticated agent-realised air traffic control system known as oasis.  ... 
doi:10.1023/a:1010090405266 fatcat:5zteqyok7rhqznbzjogsjwxwr4
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