Bond-graph Input-State-Output Port-Hamiltonian formulation of memristive networks for emulation of Josephson junction circuits

A bond graph Input-State-Output Port-Hamiltonian formulation of memristive networks for Josephson junction circuits in state space is presented. The methodology has applications to the modeling of SQUIDs and other non-linear transducers and enables the formulation of input-output models of complex components embedded in non-linear networks

An Evaluative Review of Recycled Waste Material Utilization in High-Performance Concrete

The disposal of waste materials and their adverse effects on the environment have become a worldwide concern, disturbing the fragile ecological equilibrium. With growing awareness of sustainability in the construction industry, it is of great importance to recycle waste materials for producing high-performance concrete (HPC). This aligns with the twelfth Sustainable Development Goal (SDG) of the United Nations, emphasizing responsible production and consumption, especially concerning the production of HPC using waste materials and energy-efficient methods. The review evaluates the purposeful utilization of recycled waste materials to improve the engineering characteristics of HPC, taking into consideration pertinent literature. It encompasses a comparative evaluation of strength development, water absorption, microstructures, and x-ray diffraction (XRD) analyses of HPC manufactured with different types of recycled waste materials. The key result of the review showed that using incinerated bottom ash (IBA) below 25% and incorporating 40% copper slag can enhance HPC’s mechanical performance. Additionally, recycled coarse aggregate (RCA) can replace up to 50% of conventional aggregate in self-compacting HPC with minimal impact on durability properties. In HPC cement substitution research, fly ash, silica fume, and metakaolin are prominent due to their availability, with fly ash showing remarkable durability when used as a 15% cement replacement. This thorough review offers valuable insights for optimizing the utilization of recycled waste materials in the development of environmentally friendly HPC. Doi: 10.28991/CEJ-2023-09-11-020 Full Text: PD

Measurements and Modelling of Radar Signatures of Large Wind Turbine Using Multiple Sensors

This paper presents initial results on the characterization of radar signatures of wind turbines, in particular larger wind turbines (capacity over 7 MW) used for offshore wind farms. Experimental results from simultaneous data collected using a passive DVB-T (Digital Video Broadcasting-Terrestrial) radar sensor and an active radar working at S-band are presented, as well as some comments on the parallel work on the modelling of the turbine and on the development of detection algorithms specific for this type of clutter. The initial results show significant variability of the signatures for different radar sensors used, but also for different parameters (e.g. polarization) for the same radar sensor and operational conditions of the turbine (rotation speed, yaw angle)

Knowledge and human development authority in Dubai (KHDA) open data: what do researchers want?

Government open data is a booster for government performance, transparency, and innovation. The purpose of this study to investigate how researchers use Dubai open data on Dubai Pulse platform, Using Dubai open data for Knowledge and Human Development Authority in Dubai (KHDA) shows was not covered by academic researchers. To find the reasons behind that, a systematic review were conducted for all published papers and academic researchs in the period of 2015 until 2019. 68 articles were identified, but only 38 articels passed the including/excluding criteria, and considered within this study. The majority of researchers focus mainly on detailed students’ datasets. on the other hand the published KHDA open dataset provide many usefull datasets but it’s not including detailed students datasets; a gap between the required datasets by researchers and what KHDA open dataset provide is found. Therefore, to bridge the gap and improve researches in educational domain, KHDA needs to provide more students’ details that supports machine-readable format to become useful and usable for researchers