Jeff Morgan

ORCID: 0000-0002-6169-4427
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Digital Transformation in Industry
  • Flexible and Reconfigurable Manufacturing Systems
  • Manufacturing Process and Optimization
  • IoT and Edge/Fog Computing
  • Advanced machining processes and optimization
  • Green IT and Sustainability
  • Maritime and Coastal Archaeology
  • Seismic Imaging and Inversion Techniques
  • Engineering Applied Research
  • Grouting, Rheology, and Soil Mechanics
  • Geodetic Measurements and Engineering Structures
  • Vibration and Dynamic Analysis
  • Engineering Technology and Methodologies
  • Blockchain Technology Applications and Security
  • Geotechnical Engineering and Underground Structures
  • Asphalt Pavement Performance Evaluation
  • Law, logistics, and international trade
  • Geotechnical and construction materials studies
  • Geological Modeling and Analysis
  • Smart Cities and Technologies
  • COVID-19 diagnosis using AI
  • Offshore Engineering and Technologies
  • Robotics and Automated Systems
  • Seismic Waves and Analysis
  • Advanced Data Processing Techniques

Ollscoil na Gaillimhe – University of Galway
2020-2022

Instituto Superior Técnico
2021

University of Southern California
2021

Engineering Systems (United States)
2021

Trinity College Dublin
2013-2017

Trinity College London
2015

Tavistock Institute
1967

This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized machine control intelligence. The aim this is to draw objective answers two proposed questions, relating to: (1) reconfigurable design industry adoption; (2) enabling present future state technology. Key areas reviewed include: (a) RMS – fundamentals, rational, economic benefits, needs challenges; (b) Machine Control...

10.1016/j.jmsy.2021.03.001 article EN cc-by Journal of Manufacturing Systems 2021-04-01

Abstract The development of the Internet Things (IoT) technology and their integration in smart cities have changed way we work live, enriched our society. However, IoT technologies present several challenges such as increases energy consumption, produces toxic pollution well E-waste cities. Smart city applications must be environmentally-friendly, hence require a move towards green IoT. Green leads to an eco-friendly environment, which is more sustainable for Therefore, it essential address...

10.1007/s11036-021-01790-w article EN cc-by Mobile Networks and Applications 2021-08-17

The rapid evolution of digital technology and designed intelligence, such as the Internet Things (IoT), Big data analytics, Artificial Intelligence (AI), Cyber Physical Systems (CPS), has been a catalyst for 4th industrial revolution (known industry 4.0). Among other, two key state-of-the-art concepts in Industry 4.0, are Industrial IoT (IIoT) twins. IIoT facilitates real-time acquisition, processing analytics over large amount sensor streams produced by sensors installed within smart...

10.1109/giots49054.2020.9119497 article EN 2020-06-01

10.1007/s10845-015-1180-z article EN Journal of Intelligent Manufacturing 2015-12-17

A shift in manufacturing paradigms from centralised to decentralised IT architectures has seen the advancement of cyber physical systems towards more interoperable ecosystems with service-oriented architecture (SOA) through ubiquitous and cloud technology. Sociologically interoperability between enables collaboration for local goal satisfaction global system operation, where synergies can be created by parallel computation interaction. Economically, SOA technology promotes dynamic...

10.1080/0951192x.2015.1032355 article EN International Journal of Computer Integrated Manufacturing 2015-05-05

The rise of the industrial internet has been envisaged as a key catalyst for creating intelligent manufacturing plant future through enabling open data distribution cloud manufacturing. context supporting these systems defined by Service Oriented Architectures (SOA) that facilitate resource and computational functions services available on network. SOA at forefront EU research over past decade several industrially implemented technologies exist floor. However it is still unclear whether can...

10.1016/j.procir.2015.06.007 article EN Procedia CIRP 2015-01-01

A key aspect of Intelligent Manufacturing is the interface between Edge and Fog layers on one side Cloud other side. Once that some data extraction cleaning has been performed in (logical and/or physical) nearby production line, it necessary to move where distributed parallel computations make possible train use Machine Learning models. For a wide range applications, also restructure reconfigure computation network over time, reacting relevant events at real-time. This can be achieved (i) by...

10.1109/sami54271.2022.9780768 article EN 2022-03-02

The state-of-the-art in manufacturing technology identifies a data rich, horizontally and vertically integrated environment, with collaborative control intelligence systems, to enable what is called smart factory. Similar digital factories, factories signify greater convergence between Operational Technology (OT), wider enterprise Integrated (IT). With these new capabilities comes challenges scale, complexity, the skills needed ubiquitous system integration. While past, engineers have...

10.1109/iotais53735.2021.9628434 article EN 2021-11-23

SUMMARY In connection with other work to develop decision making aids for use in engineering design it appeared that the technique of AIDA might be relevant production problem selecting satisfactory tooling arrangements multi-station machine tools performing many different operations on same component. This paper describes an experiment which this was taught two engineers and used by them as part their normal programme work. It is suggested or most value when a number people need involved...

10.1080/00207546708929773 article EN International Journal of Production Research 1967-01-01

Process visualizations of data from manufacturing execution systems (MESs) provide the ability to generate valuable insights for improved decision-making. Industry 4.0 is awakening a digital transformation where advanced analytics and are critical. Exploiting MESs with data-driven strategies can have major impact on business outcomes. The advantages employing process demonstrated through an application real-world data. Visualizations, such as dashboards, enable user examine performance...

10.1109/swc50871.2021.00098 preprint EN 2021-10-01

The promise of Connected and Automated Mobility (CAM) are Safer (enhanced road safety), More Efficient (lower emissions reduced congestion) (infotainment) Rides, not forgetting a significant impact on productivity, jobs growth, as well global competitiveness.The scope autonomy spans road, rail, waterways coastal maritime, the implementation scenarios extend from urban to remote rural areas, transcending national borders, ensure critical cross-border service continuity for autonomous...

10.1109/iotais53735.2021.9628819 article EN 2021-11-23
Coming Soon ...