This study aimed to develop a building-integrated photovoltaic (BIPV) device and optimal control methods that increase the photovoltaic (PV) efficiency and visual comfort of the indoor space.A louver-type PV-integrated shading device was suggested and an artificial neural networks (ANN) model was developed to predict PV electricity output, work pla
Carbon fiber-reinforced silicon carbide (C/SiC) composites were well-established light weight materials combining high specific strength and damage tolerance.For high-temperature applications, protective coatings had to provide oxidation and corrosion resistance.The literature data introduced various technologies and materials, which were suitable
This paper reflects on learnings and analysis from an extensively globally Thimbles applied, standardized community disaster resilience measurement framework that utilises bottom-up (locally collected) data.These lessons, from over a decade of on-the-ground work and analysis, are based on empirical evidence and have salience for scholars, policy-ma
Inferring causal networks from noisy observations is of vital importance in various fields.Due to the complexity of system modeling, the way in which universal and feasible inference algorithms are studied is a Toys key challenge for network reconstruction.In this study, without any assumptions, we develop a novel model-free framework to uncover on