Search results

European Union (EU) research projects generally involve international teams based in different countries. This means that researchers need to travel internationally to participate for in-person meetings, which are crucial for facilitating collaboration among research teams and provide a platform for teams to share their progress. Unfortunately, much of the international traveling in EU projects is done by air and therefore it has a significant carbon footprint. One potential solution that has gained attention in recent years is virtual reality (VR) and the metaverse. The aim of this work is to investigate to what degree VR meetings provide a viable alternative to physical meetings in the context of EU research projects and can thus contribute to climate change mitigation.

A three-stepped approach was chosen. First, the requirements for VR meetings were determined by collecting all relevant aspects of physical meetings through a questionnaire. Second, a set of VR meeting experiments were designed and executed. Third, carbon footprints for both physical traveling and VR meetings (lifecycle) were calculated.

We conclude that VR can be a powerful tool which can supplement international projects and mitigate carbon emissions associated with traveling for in-person meetings by an estimated 7–19 times.

This paper explores the suitability of the current generation of VR technology and quantitatively evaluates its effectiveness for greenhouse gas emissions mitigation in the context of a European research project.

This paper introduces hydroinformatics, a discipline that has strong ancestry in the computational sciences and artificial intelligence, as a way forward for water network management and maintenance in particular. Within hydroinformatics, geographic information systems and data mining (artificial neural networks and genetic algorithms specifically) are the new technologies with probably the widest applicability to the water industry. This paper introduces basic concepts of hydroinformatics and data mining, explains the process by which they may be applied and describes basic technologies with their advantages and disadvantages.

Investigates the use of a genetic‐algorithm program for analysing the optimal opportunity‐based maintenance problem for real‐sized systems. Analyses the performance of the genetic operators with a generation replacement genetic algorithm, using a hypothetical system consisting of 50 maintenance‐significant parts. Due to the size of the problem and excessive running time, finds that the steady‐state genetic algorithm gives the best compromise between solution quality and running time and was subsequently implemented for this problem. Pays special attention to the sensitivity of solutions to the maximum number of maintenance groups considered by the genetic algorithm. Finds that better solutions were identified for larger numbers of groups but increasing complexity costs more in terms of the computer time required. Also concludes that the improvement in the objective function value decreases with the increase in the number of maintenance groups.

Notes that the most important fixed asset of any water distribution company is its pipe network. However, once installed it is difficult to manage not only because it is buried in the ground but because management of potable water networks encompasses complex activities concerned with supply. In addition, privatized UK water utilities are required to balance often conflicting demands from their shareholders, regulators and customers. Maintenance, including rehabilitation, replacement, and/or expansion of existing networks to meet current and future demands, is the major element of potable water distribution management. Introduces hydroinformatics as a way forward for water network management and maintenance in particular. Looks at elements such as geographic information systems and artificial neural networks. Outlines the scope for improvement to the new technologies for maintenance of water networks together with a wide range of possible applications.

Describes the development of two genetic algorithm (GA) programs for cost optimization of opportunity‐based maintenance policies. The combinatorial optimization problem is formulated and it is shown that genetic algorithms are particularly suited to this type of problem. The theoretical basis and operations of a standard genetic algorithm (SGA) are presented with an iterative procedure necessary for implementation of the SGA to least‐cost part replacement. However, an SGA used in an iterative manner may limit the global search capability of the evolutionary computing technique and may lead to suboptimal solutions. To avoid this problem, an improved GA which considers more than two groups simultaneously is devised. This model is based on the permutation representation and genetic sequencing operators originally developed for the travelling salesman problem. The same example used with the SGA confirmed that the improved GA can bring additional savings.

The purpose of this paper is to present the results of interaction occurring during the exposition of some specific carbon textile materials obtained in laboratory conditions to beams of various laser types.

Carbon fabric materials – fiber, felt and cloth – obtained from different precursor materials and prepared at various process conditions (oxidized, partially carbonized, carbonized, graphitized), were exposed to pulses of various lasers (Nd3+: YAG, alexandrite, ruby).

Depending on the laser power, plasma and destructive phenomena occurred. In the case of an interaction between a Nd3+: YAG laser beam and specimens of thickness in millimeter range, the authors have estimated the threshold of the energy density for drilling and discussed the possible models of the interaction.

The results have implications in the estimations of quality as well as in the improvement of material processing, giving some new light to the changes of mechanical and optical constants of the material, as well as to the changes of carbon groups of the material, which would be useful for different types of modeling. Future research will be in the interaction of laser beams with various textile materials, where the investigation would cover the microstructure changes and the implications on cloth cutting and welding, concerning the damages as well as relief structures, specially renew for fs laser regimes.

The area of laser applications in the textile industry is supported by scientific and applicative exploration. However, fewer results are concerned with deep introspection into the microstructure of the damages considering the laser interaction with carbon fiber and other carbon-based textiles.