Ventilation of double facades

This paper deals with the development and thetesting of a simulation algorithm for the temperaturebehaviour and the flow characteristics of doublefaçades. It has been developed in order to obtain atool which enables the energy consultant to makequick design decisions without being required to usefairly complicated CFD tools.In order to determine the degree of accuracy of thealgorithm, a double façade has been monitored undercontrolled conditions and the results have beencompared against the predicted values for severaldesign situations. The resulting inaccuracy in somecases can be traced back to how the flow resistanceof various geometries are modelled. This paper deals with the development and thetesting of a simulation algorithm for the temperaturebehaviour and the flow characteristics of doublefaçades. It has been developed in order to obtain atool which enables the energy consultant to makequick design decisions without being required to usefairly complicated CFD tools.In order to determine the degree of accuracy of thealgorithm, a double façade has been monitored undercontrolled conditions and the results have beencompared against the predicted values for severaldesign situations. The resulting inaccuracy in somecases can be traced back to how the flow resistanceof various geometries are modelled

Aquatic Animal Health Subprogram: Investigation of Chlamydiales-like organisms in pearl oysters, Pinctada maxima FRDC Project 2008/031

Objectives: • To further develop the current conventional PCRs being used to investigate two CLO’s in pearl oysters and use these PCRs in an attempt to gain further sequence data. An expansion of the current known sequence data will be used to develop a real-time PCR that is specific and sensitive enough to detect and differentiate between the two CLO’s in pearl oysters. The real-time PCR will be validated at two independent laboratories using known OOD-positive and negative control samples. • To test healthy versus OOD-affected pearl oysters to determine if the presence of either or both CLO’s plays a role in the onset of OOD. Pinctada maxima samples from Queensland will be tested as negative control animals to determine the prevalence of the two CLO’s. This study will determine if there is a link between the presence of these CLO’s and the onset of OOD. • To survey non-maxima shellfish associated with pearl farms to determine the prevalence of these organisms in molluscs in Australian waters, and whether there are further molluscan reservoir hosts. Any positive samples obtained will be confirmed by sequencing the PCR product

Deep learning in automated ultrasonic NDE -- developments, axioms and opportunities

The analysis of ultrasonic NDE data has traditionally been addressed by a trained operator manually interpreting data with the support of rudimentary automation tools. Recently, many demonstrations of deep learning (DL) techniques that address individual NDE tasks (data pre-processing, defect detection, defect characterisation, and property measurement) have started to emerge in the research community. These methods have the potential to offer high flexibility, efficiency, and accuracy subject to the availability of sufficient training data. Moreover, they enable the automation of complex processes that span one or more NDE steps (e.g. detection, characterisation, and sizing). There is, however, a lack of consensus on the direction and requirements that these new methods should follow. These elements are critical to help achieve automation of ultrasonic NDE driven by artificial intelligence such that the research community, industry, and regulatory bodies embrace it. This paper reviews the state-of-the-art of autonomous ultrasonic NDE enabled by DL methodologies. The review is organised by the NDE tasks that are addressed by means of DL approaches. Key remaining challenges for each task are noted. Basic axiomatic principles for DL methods in NDE are identified based on the literature review, relevant international regulations, and current industrial needs. By placing DL methods in the context of general NDE automation levels, this paper aims to provide a roadmap for future research and development in the area.Comment: Accepted version to be published in NDT & E Internationa