Peer Review Journals

PEER REVIEW JOURNALS

Optimising Cloud Operation Cost Utilising External Memory

Handling large volumes of data on computers incur operational costs when physical hardware is considered, especially RAM, creating a need for intelligent solutions that both maintain an acceptable level of performance and enable cheaper scaling. The authors extend their previous work converting their existing point cloud processing and analysis tool to use external memory via the STXXL C++ library, replacing the entire dataset storage layer with STXXL’s intelligent caching system. A rationale for adopting this technique, and methodology for testing previous and modified versions of the software is put forth, and the authors investigate the behaviour of their software tool to establish trade-offs. Competing versions of their software are fed sample datasets in E57 and IFC formats, the results of which are captured and analysed. The authors find that while execution speed is lowered, reduced memory consumption contributes to higher throughput, enabling greater efficiency and real hardware cost savings.

Journal:

Optimising Cloud Operation Cost Utilising External Memory. IJDIBE: Volume 9, Issue 2. Copyright: 2020.

Author:

Hyland, N. and O’Keeffe, S.

Release date:

2020

Utilizing BCF and IFC for Automated Dimensional Compliance

The authors have developed a novel methodology for utilising open standards for the reporting and correction of IFC-formatted BIMs during comprehensive dimensional control compliance. As designed BIMs rarely match exactly what was built on-site, and traditional methods for ensuring the design matches the built environment are tedious, costly, and time-consuming as stakeholders must manually navigate through the model to find problems, relying on subjective judgement. An efficient method to develop accurate as-built/as-is BIMs is by comparing point cloud reality capture data against the as-designed BIM to reflect the real-world state. The authors’ novel methodology performs an automated comparison between as-built and as-designed representations and employs the open standard BIM Collaboration Format (BCF) in the communication and correction of issues to resolve to match the true state of the built environment. Our methodology produces BCF reports containing recognised deviations between the as-is state and as-designed BIM, supported by the major BIM authoring tools. International Journal of 3-D Information Modeling (IJ3DIM) 6(4)

Journal:

Utilizing BCF and IFC for Automated Dimensional Compliance. International Journal of 3-D Information Modeling (IJ3DIM) 6(4) Copyright: 2017 Pgs. 21. DOI: 10.4018/IJ3DIM.2017100102.

Author:

Hyland, N., O’Keeffe, S. and Brodie, S.

Release date:

2018

OpenBIM Framework for a Collaborative Historic Preservation System

The authors have developed a novel system framework for a historic preservation system utilising open standards and open source tools. The framework enables the integration of open standard 3D models and GIS in a virtual environment (VE). It also allows the storage and harvesting of data via an open-source web-based central repository. The framework is designed for bi-directional interoperability when utilised for monument tracking, preservation, conservation, re-excavation, etc. To date, no such system framework exists for the development and management of historic monuments using open standards e57 for terrestrial laser scanning (TLS) data, the industry foundation classes (IFC) for 3D semantic rich models, and CityGML for integrating IFC and GIS in a VE. The web-based VE is accessed from the BimServer and envisaged for monitoring monument erosion, movement, and damage to monuments by human activity or nature, collaboration between different industry actors to share knowledge, experience, and expertise globally, etc.

Journal:

OpenBIM Framework for a Collaborative Historic Preservation System Apr 3, 2016 International Journal of 3-D Information Modeling (IJ3DIM) 5(4) Copyright: 2015 Pgs. 11- DOI: 10.4018/IJ3DIM.2016100101.

Author:

O’Keeffe, S

Release date:

2016