Using open source music software to teach live electronics in pre-college music education

A basic course of live electronics is needed in pre- college music education to teach children how to perform on a digital musical instrument. This paper describes the basic components of such a live electronics course, examines whether open source music software is suited to realize these components and finally presents Abunch, a library in Pure Data created by the author, as a solution for the potential educational disadvantages of open source music software

Building in-situ instruments for the Street Sonatas #1 and #5

Musical work for the Dossier “A quarter of century of Pd: past, present and future” [note by editor]Link #1: https://youtube.com/playlist?list=PLXdYuKtwUhUrirWQ0B2X7XhfrBCGJVlG

Building in-situ instruments for the Street Sonatas #1 and #5

Musical work for the Dossier "A quarter of century of Pd: past, present and future" [note by editor]Link #1: https://youtube.com/playlist?list=PLXdYuKtwUhUrirWQ0B2X7XhfrBCGJVlG

Impact of wind-driven rain on historic brick wall buildings in a moderately cold and humid climate: Numerical analyses of mould growth risk, indoor climate and energy consumption

This paper gives an onset to whole building hygrothermal modelling in which the interaction between interior and exterior climates via building enclosures is simulated under a moderately cold and humid climate. The focus is particularly on the impact of wind-driven rain (WDR) on the hygrothermal response, mould growth at interior wall surfaces, indoor climate and energy consumption. First the WDR load on the facades of a 4×4×10 m3 tower is determined. Then the hygrothermal behaviour of the brick walls is analysed on a horizontal slice through the tower. The simulations demonstrate that the impact of WDR loads on the moisture contents in the walls is much larger near the edges of the walls than at the centre. The obtained relative humidity and temperature at the interior wall surfaces are combined with isopleths of generalised spore germination time of fungus mould. The results show that WDR loads can have a significant impact on mould growth especially at the edges of the walls. Finally, for the case analysed, the WDR load causes a significant increase of indoor relative humidity and energy consumption for heating.status: publishe

Neural networks to predict the hygrothermal response of building components in a probabilistic framework

In recent years, probabilistic assessment of hygrothermal performance of building components has received increasing attention. Given the many uncertainties involved in the hygrothermal behaviour of building components, a probabilistic assessment enables to assess the damage risk more reliably. However, this typically involves thousands of simulations, which easily becomes computationally inhibitive. To overcome this time-efficiency issue, this paper proposes the use of much faster metamodels. This paper focusses on neural networks, as they have proven to be successful in other non-linear and non-stationary research applications. Two types of networks are considered: the traditional multilayer perceptron (with and without a time window) and memory neural networks (LSTM, GRU). Both are used for predicting the hygrothermal behaviour of a massive wall. The results showed that all networks are capable to predict the temperature profiles accurately, but only the LSTM and GRU networks could predict the slow responses of relative humidity and moisture content. Furthermore, the LSTM and GRU network were found to have almost equal predicting accuracy, though the GRU converged faste