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Delivering Sustainable Building Projects - Challenges, Reality And Success, Haleh Rasekh, Timothy J. Mccarthy
Delivering Sustainable Building Projects - Challenges, Reality And Success, Haleh Rasekh, Timothy J. Mccarthy
Faculty of Engineering and Information Sciences - Papers: Part A
This research concerns the delivery of sustainable building projects. These projects are defined as those which either attempt to achieve green ratings or are claimed to address certain sustainability issues. A key focus is to examine how the client's vision for sustainability is achieved or compromised by the practicality of construction. Two sustainability rating systems, the Australian Green Star and the Living Building Challenge from the U.S. are discussed. This research examines two projects; one university multipurpose building (SMART Infrastructure Facility); and an advanced research facility, the Sustainable Buildings Research Centre (SBRC). The methodology used is semi-structured interviews of key …
Quality Of Experience-Based Image Feature Selection For Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Quality Of Experience-Based Image Feature Selection For Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Faculty of Engineering and Information Sciences - Papers: Part A
Mobile augmented reality applications rely on automatically recognising a visual scene through matching of derived image features. To ensure the Quality of Experience (QoE) perceived by users, such applications should achieve high matching accuracy meanwhile minimizing the waiting time to meet real-time requirement. An efficient solution is to develop an effective feature selection method to select the most robust features against distortions caused by camera capture to achieve high matching accuracy whilst transmission and matching process of the features are significant reduced. Feature selection is also beneficial to reducing the computational complexities of the matching system so that waiting time …
Adaptive And Robust Feature Selection For Low Bitrate Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Adaptive And Robust Feature Selection For Low Bitrate Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Faculty of Engineering and Information Sciences - Papers: Part A
Mobile augmented reality applications rely on automatically matching a captured visual scene to an image in a database. This is typically achieved by deriving a set of features for the captured image, transmitting them through a network and then matching with features derived for a database of reference images. A fundamental problem is to select as few and robust features as possible such that the matching accuracy is invariant to distortions caused by camera capture whilst minimising the bit rate required for their transmission. In this paper, novel feature selection methods are proposed, based on the entropy of the image …
Critical Current Density: Measurements Vs. Reality, Alexey V. Pan, Igor Golovchanskiy, Sergey Fedoseev
Critical Current Density: Measurements Vs. Reality, Alexey V. Pan, Igor Golovchanskiy, Sergey Fedoseev
Faculty of Engineering and Information Sciences - Papers: Part A
Different experimental techniques are employed to evaluate the critical current density (Jc), namely transport current measurements and two different magnetisation measurements forming quasi-equilibrium and dynamic critical states. Our technique-dependent results for superconducting YBa 2Cu3O7 (YBCO) film and MgB2 bulk samples show an extremely high sensitivity of Jc and associated interpretations, such as irreversibility fields and Kramer plots, which lose meaning without a universal approach. We propose such approach for YBCO films based on their unique pinning features. This approach allows us to accurately recalculate the magnetic-field-dependent Jc obtained by any technique into the Jc behaviour, which would have been measured …