success. The project will involve interfacing with the APIs of commercially available smart devices, fusing information from different sensors, and using data analytics to evaluate and visualise the data. Recommended Reading: http://www.buildsys.org/2015/?page_id=50 Papers from 2015 BuildSys conference Energy Use in the Australian Residential Sector 1986-2020 Cardell-Oliver, Rachel, Associate Professor Co-Supervisor: Hodkiewicz, Melinda, Professor A data portal for sensor data Disciplines: Civil, Environmental, Mechanical, Mechatronic, Software. Pre-requisite skills: Programming skills in one of more of: Python, databases (sql), Java Script (see http://www.highcharts.com/products/highstock), shell scripting, and web frameworks. The internet of things and big data are currently generating a lot of industry enthusiasm. But behind the hype lies the requirement to support data management workflow in a robust and reusable way. Data workflow concerns methods to import, clean, store, fuse, visualise and export data sets. This project builds on a web-based software application developed at the University of Applied Sciences in Mannheim, Germany. The current system supports a generic workflow using configuration files to specify requirements. The goal of this project is to extend the existing system with new data management modules. Depending on students' interests, this project could involve new tools for analytics, querying or visualisation, or support for searching and sharing data sets. Existing research projects aligned with this one include smart water metering, monitoring rammed earth houses, industry asset management and energy efficient smart homes. Chua, Hui Tong, Professor Co-Supervisor: Srinivasan, Kandadai, Adjunct Professor
success. The project will involve interfacing with the APIs of commercially available smart devices, fusing information from different sensors, and using data analytics to evaluate and visualise the data. Recommended Reading: http://www.buildsys.org/2015/?page_id=50 Papers from 2015 BuildSys conference Energy Use in the Australian Residential Sector 1986-2020 Cardell-Oliver, Rachel, Associate Professor Co-Supervisor: Hodkiewicz, Melinda, Professor A data portal for sensor data Disciplines: Civil, Environmental, Mechanical, Mechatronic, Software. Pre-requisite skills: Programming skills in one of more of: Python, databases (sql), Java Script (see http://www.highcharts.com/products/highstock), shell scripting, and web frameworks. The internet of things and big data are currently generating a lot of industry enthusiasm. But behind the hype lies the requirement to support data management workflow in a robust and reusable way. Data workflow concerns methods to import, clean, store, fuse, visualise and export data sets. This project builds on a web-based software application developed at the University of Applied Sciences in Mannheim, Germany. The current system supports a generic workflow using configuration files to specify requirements. The goal of this project is to extend the existing system with new data management modules. Depending on students' interests, this project could involve new tools for analytics, querying or visualisation, or support for searching and sharing data sets. Existing research projects aligned with this one include smart water metering, monitoring rammed earth houses, industry asset management and energy efficient smart homes. Chua, Hui Tong, Professor Co-Supervisor: Srinivasan, Kandadai, Adjunct Professor
Round-2-Web-copy-Description-Doc-S1-2016c.docx