The Challenge of Digital Transition in Engineering. A Solution Made from a European Collaborative Network of Remote Laboratories Based on Renewable Energies Technology

Society currently faces two crucial challenges: digital transition and energy transition. Educative innovation plays a key role in this challenging scenario, particularly engineering careers, where laboratory practices are as important as theoretical classes. This paper presents a standardized training platform supported by five European universities which include a remote laboratory experience. Each university is responsible for developing a training module under the guidance provided by the responsible entity (University of Huelva, Spain). For this purpose, the University of Huelva has implemented a remote laboratory based on a supercapacitor power bank. The rest of the universities have selected any other renewable source and have replicated the information and communications technology (ICT) infrastructure. The result is a European network materialized on a homogenized platform where teachers and students can find all the teaching materials (theory and practice) to train and to be trained in renewable energy matters in the new digital era.This research was funded by Erasmus+ Programme, grant number Ref. 2020-1-IT02-KA226-HE-095424 RE-OPEN project; ERASMUS+ Programme 2020-KA2; and the APC was funded by Ref. 2020-1-IT02-KA226-HE-095424 RE-OPEN project, founded by ERASMUS+ Programme 2020-KA2

Simulation and visualization platform integrated under hardware control systems for a reconfigurable process control

Simulation and visualization platform integrated under hardware control systems for a reconfigurable process control

Variable Speed Simulation for Accelerated Industrial Control System Cyber Training

It is important for industrial control system operators to receive quality training to defend against cyber attacks. Hands-on training exercises with real-world control systems allow operators to learn various defensive techniques and see the real-world impact of changes made to a control system. Cyber attacks and operator actions can have unforeseen effects that take a significant amount of time to manifest and potentially cause physical harm to the system, making high-fidelity training exercises time-consuming and costly. This thesis presents a method for accelerating training exercises by simulating and predicting the effects of a cyber event on a partially-simulated control system. A hardware-in-the-loop system comprised of a software-modeled water tank and a commercially-available programmable logic controller is used to demonstrate the feasibility of this method. The results demonstrate the system\u27s speedup capability which allows users to accurately simulate the effects of a cyber event at speeds faster than real-time

Development of the Web-based control laboratory and long distance education.

Qu Cong.Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.Includes bibliographical references (leaves i-iii (3rd gp.)).Abstracts in English and Chinese.Acknowledgements --- p.iContent --- p.iiAbstract --- p.ivAbstract (Chinese) --- p.viChapter Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Long Distance Laboratory --- p.1Chapter 1.2 --- Overview of Web-Based Laboratory --- p.3Chapter 1.3 --- Project of Development of Web-Based Laboratory --- p.5Chapter 1.4 --- Thesis Outline --- p.7Chapter Chapter 2 --- Laboratory Layout --- p.8Chapter 2.1 --- DC Motor System --- p.9Chapter 2.2 --- Coupled Tank System --- p.11Chapter 2.3 --- Mass-Spring-Damper System --- p.13Chapter 2.4 --- Ball and Beam System --- p.15Chapter 2.5 --- Configurations --- p.16Chapter Chapter 3 --- System Architecture --- p.18Chapter 3.1 --- Hardware Architecture --- p.18Chapter 3.2 --- Software Architecture --- p.21Chapter 3.3 --- Architecture Characteristics --- p.24Chapter Chapter 4 --- Control Methodology --- p.28Chapter 4.1 --- Basic Control Concepts --- p.28Chapter 4.2 --- System Modeling --- p.30Chapter 4.3 --- Controller Design Methods --- p.36Chapter 4.4 --- Digital Control --- p.42Chapter Chapter 5 --- Mass-Spring-Damper System --- p.45Chapter 5.1 --- System Setup --- p.45Chapter 5.2 --- Experiment Design --- p.49Chapter Chapter 6 --- Ball and Beam System --- p.58Chapter 6.1 --- System Setup --- p.59Chapter 6.2 --- Experiment Design --- p.61Chapter Chapter 7 --- Education Practice --- p.76Chapter 7.1 --- Practice and Analysis --- p.76Chapter 7.2 --- Remarks --- p.80Chapter Chapter 8 --- Conclusions and Future Work --- p.82Chapter 8.1 --- Concluding Remarks --- p.82Chapter 8.2 --- Future Work --- p.84Bibliography --- p.

Development of Web-based control laboratory.

Yeung Kin.Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.Includes bibliographical references (leaves 86-89).Abstracts in English and Chinese.Abstract --- p.iAcknowledgement --- p.iiiTables of Contents --- p.ivList of Figures --- p.viList of Tables --- p.viiChapter Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Distance Learning (DL) and Virtual Laboratory (VL) --- p.1Chapter 1.2 --- Overview of related research --- p.3Chapter 1.3 --- Web-based Control Laboratory --- p.5Chapter 1.4 --- Contributions of the Project --- p.8Chapter 1.5 --- Thesis Outline --- p.10Chapter Chapter 2 --- System Architectures --- p.11Chapter 2.1 --- Hardware Architecture --- p.11Chapter 2.1.1 --- Internal Distributed System --- p.12Chapter 2.1.2 --- Video Server System --- p.14Chapter 2.1.3 --- Application Systems --- p.15Chapter 2.2 --- Software Architecture --- p.17Chapter 2.2.1 --- Client Side Context --- p.17Chapter 2.2.2 --- Web Server Context --- p.19Chapter 2.2.3 --- Software Context in Controller PC --- p.24Chapter Chapter 3 --- System Attributes --- p.33Chapter 3.1 --- Protocol Attribute --- p.33Chapter 3.2 --- Client/Server Structure --- p.36Chapter 3.3 --- Multi-layer Structure --- p.39Chapter 3.4 --- Inter-process Flow Attribute --- p.41Chapter Chapter 4 --- Experiment Description --- p.43Chapter 4.1 --- Client Interface --- p.43Chapter 4.2 --- Experiments Implementation --- p.46Chapter 4.3 --- Controller Analysis --- p.47Chapter 4.3.1 --- System Theory --- p.47Chapter 4.3.2 --- PID Control --- p.49Chapter 4.3.3 --- Set Point Control by State Space Method --- p.51Chapter Chapter 5 --- System Characteristics --- p.54Chapter 5.1 --- Distance Learning --- p.54Chapter 5.2 --- Networking Issues --- p.55Chapter 5.3 --- Design Issues --- p.56Chapter 5.4 --- Security Issue --- p.56Chapter 5.5 --- Interface Issues --- p.57Chapter 5.6 --- Future Enhancement --- p.58Chapter Chapter 6 --- Impacts and Further Work --- p.59Chapter 6.1 --- Impacts on Web-based Laboratory --- p.59Chapter 6.2 --- Impacts on Society --- p.60Chapter 6.3 --- Future Work --- p.61Chapter Chapter 7 --- Conclusion --- p.63Appendices --- p.65Appendix I. Selected Source Code of Server Side Programs --- p.65Appendix II. Selected Client Experiment Interface --- p.81Appendix III. Laboratory Experiment Manual --- p.84Bibliography --- p.8

Genetic Detection and a Method to Study the Ecology of Deadly Cubozoan Jellyfish

Cubozoan jellyfish pose a risk of envenomation to humans and a threat to many businesses, yet crucial gaps exist in determining threats to stakeholders and understanding their ecology. Environmental DNA (eDNA) provides a cost-effective method for detection that is less labour intensive and provides a higher probability of detection. The objective of this study was to develop, optimise and trial the use of eDNA to detect the Australian box jellyfish, Chironex fleckeri. This species was the focus of this study as it is known to have the strongest venom of any cubozoan; it is responsible for more than 200 recorded deaths in the Indo-Pacific region. Further, its ecology is poorly known. Herein, a specific and sensitive probe-based assay, multiplexed with an endogenous control assay, was developed, and successfully utilised to detect the deadly jellyfish species and differentiate them from closely related taxa. A rapid eDNA decay rate of greater than 99% within 27 h was found with no detectable influence from temperature. The robustness of the technique indicates that it will be of high utility for detection and to address knowledge gaps in the ecology of C. fleckeri; further, it has broad applicability to other types of zooplankton

Using a GIS technology to plan an agroforestry sustainable system in Sardinia

This study was conducted with the aim to quantify the spread of livestock agroforestry in a Mediterranean ecosystem (island of Sardinia, Italy) and evaluate its sustainability in terms of grazing impact. By using GIS software ArcMap 10.2.2, the map of Sardinia vegetal landscape, obtained by information of Sardinia nature map based on the classification of habitat according to CORINE-Biotopes system, have been overplayed with the map of livestock grazing impact map CAIA developed by INTREGA (spin-off ENEA), to obtain for Meriagos (local agro-silvo-pastoral systems; classified “Dehesa 84.6” according to CORINE-Biotopes system), bushlands and woodlands, the surfaces under grazing and evaluate the extension of overgrazing for each of them