Engineering Commons^™

Indoor Temperatures And Energy Use In Nsw Social Housing, Daniel Daly, Theresa Harada, M P. Tibbs, Paul Cooper, Gordon R. Waitt, Federico Tartarini

Faculty of Engineering and Information Sciences - Papers: Part B

Issues of fuel poverty and thermal discomfort have been identified in social housing internationally, and have been linked with possible health risks for tenants. Statistically, many of the known factors linking poor thermal performance of a dwelling and increased health risk are over-represented in Australian social housing compared with the general housing sector. The results of a mixed-method study undertaken in social housing properties are offered to better understand the relationship between energy consumption and thermal performance in a temperate climate in New South Wales, Australia. The project design combined household energy ethnographies, home energy audits and longitudinal monitoring of …

Hygrothermal Performance Of Vapour-Permeable Wall Membranes In Cooler Australian Climates: Comparative Modelling And Sensitivity Analysis, Alan Green, Paul Cooper

Faculty of Engineering and Information Sciences - Papers: Part B

This research project was carried out under the auspices of the Australian Research Council (ARC) Research Hub for Australian Steel Innovation (IH200100005) and follows on from earlier experimental and numerical research that explored the thermal and hygric performance of walls with ventilated cavities [1]. The new research described below extends our earlier work, with an aim to:

1. Simulate and compare the hygrothermal (heat and moisture) performance of case study walls with ‘Class 3’ reflective and ‘Class 4’ non-reflective membranes located in Australian NCC Climate Zones 6 and 7; and
2. Investigate the sensitivity of such hygrothermal simulations to modelling assumptions

Mlc Tracking For Lung Sabr Is Feasible, Efficient And Delivers High-Precision Target Dose And Lower Normal Tissue Dose, Jeremy Booth, Vincent Caillet, Adam Briggs, Nicholas G. Hardcastle, Georgios Angelis, Dasantha Jayamanne, Meegan Shepherd, Alexander Podreka, Kathryn Szymura, Doan Nguyen, Per Poulsen, Ricky O'Brien, Benjamin Harris, Carol Haddad, Thomas Eade, Paul Keall

Faculty of Engineering and Information Sciences - Papers: Part B

Background and purpose: The purpose of this work is to present the clinical experience from the first-in-human trial of real-time tumor targeting via MLC tracking for stereotactic ablative body radiotherapy (SABR) of lung lesions. Methods and materials: Seventeen patients with stage 1 non-small cell lung cancer (NSCLC) or lung metastases were included in a study of electromagnetic transponder–guided MLC tracking for SABR (NCT02514512). Patients had electromagnetic transponders inserted near the tumor. An MLC tracking SABR plan was generated with planning target volume (PTV) expanded 5 mm from the end-exhale gross tumor volume (GTV). A clinically approved comparator plan was generated …

Laboratory Learning Objectives Measurement: Relationships Between Student Evaluation Scores And Perceived Learning, Sasha Nikolic, Thomas Suesse, Kosta Jovanovic, Zarko Stanisavljevic

Faculty of Engineering and Information Sciences - Papers: Part B

Contribution: This article provides evidence that perceived learning has a relationship and influences the way students evaluate laboratory experiments, facilities, and demonstrators. Background: Debate continues on the capability and/or reliability of students to evaluate teaching and/or learning. Understanding such relationships can help educators decode evaluation data to develop more effective teaching experiences. Research Question: Does a relationship exist between student evaluation scores and perceived learning? Methodology: Perceived learning across the cognitive, psychomotor, and affective domains was measured using the Laboratory Learning Objectives Measurement (LLOM) tool at an Australian (344 students) and Serbian (181 students) university. A multilevel statistical analysis was …

Genetic Variation For Fusarium Crown Rot Tolerance In Durum Wheat, Gururaj Pralhad Kadkol, Jess Meza, Steven Simpfendorfer, Steve Harden, Brian R. Cullis Professor

Faculty of Engineering and Information Sciences - Papers: Part B

Tolerance to the cereal disease Fusarium crown rot (FCR) was investigated in a set of 34 durum wheat genotypes, with Suntop, (bread wheat) and EGA Bellaroi (durum) as tolerant and intolerant controls, in a series of replicated field trials over four years with inoculated (FCR-i) and non-inoculated (FCR-n) plots of the genotypes. The genotypes included con- ventional durum lines and lines derived from crossing durum with 2–49, a bread wheat geno- type with the highest level of partial resistance to FCR. A split plot trial design was chosen to optimize the efficiency for the prediction of FCR tolerance for each …

Electrospun Nanofibers For Efficient Adsorption Of Heavy Metals From Water And Wastewater, Maryam Salehi, Donya Sharafoddinzadeh, Fatemeh Mokhtari, Mitra Salehi Esfandarani, Shafieh Karami

Faculty of Engineering and Information Sciences - Papers: Part B

Heavy metals (HMs) are persistent and toxic environmental pollutants that pose critical risks toward human health and environmental safety. Their efficient elimination from water and wastewater is essential to protect public health, ensure environmental safety, and enhance sustainability. In the recent decade, nanomaterials have been developed extensively for rapid and effective removal of HMs from water and wastewater and to address the certain economical and operational challenges associated with conventional treatment practices, including chemical precipitation, ion exchange, adsorption, and membrane separation. However, the complicated and expensive manufacturing process of nanoparticles and nanotubes, their reduced adsorption capacity due to the aggregation, …

Infinitesimal Knowledges, Rodney Nillsen

Faculty of Engineering and Information Sciences - Papers: Part B

The notion of indivisibles and atoms arose in ancient Greece. The continuum—that is, the collection of points in a straight line segment, appeared to have paradoxical properties, arising from the ‘indivisibles’ that remain after a process of division has been carried out throughout the continuum. In the seventeenth century, Italian mathematicians were using new methods involving the notion of indivisibles, and the paradoxes of the continuum appeared in a new context. This cast doubt on the validity of the methods and the reliability of mathematical knowledge which had been regarded as established by the axiomatic method in geometry expounded by …

Thermal Bridging Of Horizontal Ceilings Under Pitched Roofs, Alan Green, Leela Kempton, Paul Cooper, Georgios Kokogiannakis

Faculty of Engineering and Information Sciences - Papers: Part B

A detailed investigation has been conducted into methods for determining the thermal performance of horizontal ceilings under pitched roofs. Existing literature on relevant calculation, simulation and test methods was reviewed, and an extensive computational fluid dynamics (CFD) simulation study was conducted. Results from the CFD simulations were used to assess the accuracy of standard thermal bridge calculation methods when applied to timber-framed and steel-framed ceilings under a roof space.

Event-Triggered H∞ Control For Active Seat Suspension Systems Based On Relaxed Conditions For Stability, Wenxing Li, Haiping Du, Donghong Ning, Weihua Li, Shuaishuai Sun, Jumei Wei

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020 Elsevier Ltd An event-triggered H∞ controller is designed for an active seat suspension in this paper, where the continuous event-trigger scheme is applied to transfer the dynamic system states to the controller only at event-triggered time instants. Delay-dependent stability criteria in the form of linear matrix inequality (LMI) are presented to guarantee the asymptotic stability of the seat suspension system. One Lyapunov function is chosen where some matrices are introduced with relaxed conditions. Two tight inequalities are applied to prove the positive definiteness of the Lyapunov function and stability of the system, which reduces the conservatism of the …

A Hybrid Unsupervised Clustering-Based Anomaly Detection Method, Guo Pu, Lijuan Wang, Jun Shen, Fang Dong

Faculty of Engineering and Information Sciences - Papers: Part B

In recent years, machine learning-based cyber intrusion detection methods have gained increasing popularity. The number and complexity of new attacks continue to rise; therefore, effective and intelligent solutions are necessary. Unsupervised machine learning techniques are particularly appealing to intrusion detection systems since they can detect known and unknown types of attacks as well as zero-day attacks. In the current paper, we present an unsupervised anomaly detection method, which combines Sub-Space Clustering (SSC) and One Class Support Vector Machine (OCSVM) to detect attacks without any prior knowledge. The proposed approach is evaluated using the well-known NSL-KDD dataset. The experimental results demonstrate …

Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin

Faculty of Engineering and Information Sciences - Papers: Part B

The identification of protein-protein interaction (PPI) is one of the most important tasks to understand the biological functions and disease mechanisms. Although numerous databases of biological interactions have been published in debt to advanced high-throughput technology, the study of inter-species protein-protein interactions, especially between human and bacterium pathogens, remains an active yet challenging topic to harness computational models tackling the complex analysis and prediction tasks. In this paper, we comprehensively revisit the prediction task of human-bacterium protein-protein interactions (HB-PPI), which is a first ever endeavour to report an empirical evaluation in learning and predicting HB-PPI based on machine learning models. …

H∞ Delayed Tracking Protocol Design Of Nonlinear Singular Multi-Agent Systems Under Markovian Switching Topology, Xiangli Jiang, Guihua Xia, Zhiguang Feng, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Inc. The consensus tracking of singular multi-agent systems (MASs) with Lipschitz-type nonlinearities and exogenous disturbances is researched in this paper. Governed by a Markov chain, the network interaction randomly switches in a directed graph set, where the directed spanning tree is not contained in each graph while exists in the union rooting at the leader node. By utilizing a collection of in-neighbors’ information that involves communication delay, the intention is to design a protocol such that the resultant consensus error system is stochastic admissible with an H∞ disturbance attenuation level. Based on algebraic graph theory, stochastic admissibility …

Utilizing Qr Codes To Verify The Visual Fidelity Of Image Datasets For Machine Learning, Yang-Wai Chow, Willy Susilo, Jianfang Wang, Richard Buckland, Joon Sang Baek, Jongkil Kim, Nan Li

Faculty of Engineering and Information Sciences - Papers: Part B

Machine learning is becoming increasingly popular in modern technology and has been adopted in various application areas. However, researchers have demonstrated that machine learning models are vulnerable to adversarial examples in their inputs, which has given rise to a field of research known as adversarial machine learning. Potential adversarial attacks include methods of poisoning datasets by perturbing input samples to mislead machine learning models into producing undesirable results. While such perturbations are often subtle and imperceptible from the perspective of a human, they can greatly affect the performance of machine learning models. This paper presents two methods of verifying the …