Showing papers in "Automation in Construction in 2016"

TL;DR: In this paper, a systematic review shows that 3-D printing technology, after years of evolution, can be used to print large-scale architectural models and buildings, however, the potential of the technology is limited by the lack of large scale implementation, the development of building information modeling, the requirements of mass customization, and the life cycle cost of the printed projects.

TL;DR: In this paper, the central concept of additive construction was defined, and a systematic mapping study was performed in order to assemble relevant publications selected according to a well-defined set of criteria.

TL;DR: This paper looks into existing efforts in obtaining an ifcOWL ontology from the EXPRESS schemas of IFC and analyses which features would be required in a usable and recommendable ifcowL ontologies.

TL;DR: A unique research strategy utilising a framework for information governance coupled with a graph based distributed data environment is outlined to further progress the integration and efficiency of AECOO Infrastructure projects.

TL;DR: The proposition that manual content analysis of injury reports can be eliminated using natural language processing (NLP) is tested and the results indicate that the NLP system is capable of quickly and automatically scanning unstructured injury reports for 101 attributes and outcomes with over 95% accuracy.

TL;DR: In this article, the horizontal and vertical lengths of the bolt head were calculated automatically using the Hough transform and other image processing techniques, and a linear support vector machine was trained with the aforementioned features, thereby building a robust classifier capable of automatically differentiating tight bolts from loose bolts.

TL;DR: Two state-of-the-art ML models, Random Forest and Stochastic Gradient Tree Boosting, were applied to a data set of carefully featured attributes and categorical safety outcomes, extracted from a large pool of textual construction injury reports via a highly accurate Natural Language Processing tool developed by past research.

TL;DR: An instance-based method was used to generate the mapping rules between IFC and CityGML based on the inspection of entities representing the same component in the same model, which ensures accurate mapping between the two schemas.

TL;DR: How the communication framework underlying construction management systems can be further improved so as to fully or partially automate various communication functions across the construction project lifecycle and how the Internet of Things (IoT) and related standards can contribute to such an improvement is investigated.

TL;DR: Smartphones are used in an unobtrusive way to capture body movements by collecting data using embedded accelerometer and gyroscope sensors and results indicate that neural networks outperform other classifiers by offering an accuracy ranging from 87% to 97% for user-dependent and 62% to 96% foruser-independent categories.

TL;DR: In this paper, the authors examine different technologies of automated and electronic construction data collection and compare them to identify various trends concerning their applicability in real-time data acquisition of construction projects and make recommendations for their suitability in different projects.

TL;DR: In this article, the authors provide a survey of different areas of research within the scope of the earth-moving operation and identify the knowledge gaps to give direction to future research in this field.

TL;DR: In this article, a non-contact dimensional quality assurance (DQA) technique for full-scale precast concrete elements using laser scanning and building information modeling (BIM) is presented.

TL;DR: In this article, the authors proposed an IFC-based framework within an integrated BIM and sustainable data model for the design stage of the building project life cycle, which aids the design team in the generation of documentation necessary for obtaining green building certification.

TL;DR: A semi-supervised learning algorithm (i.e., one-class support vector machine) was implemented for detecting the near-miss falls in this article, and two experiments were conducted for collecting the near miss falls of ironworkers, and these data were used to test developed near miss fall detection approach.

TL;DR: The research proposed in this paper aims to develop a measurement approach to evaluate hazards through neural time–frequency analysis and shows that neural signals are valid for mental load assessment of construction workers, especially the low frequency bands signals.

TL;DR: This Hybrid Harmony Search (HHS) algorithm follows a new approach to improvisation: while retaining HS algorithm Harmony Memory and pitch adjustment functions, it replaces the HS algorithm randomization function with Global-best Particle Swarm Optimization (PSO) search and neighbourhood search.

TL;DR: Real-time locating systems (RTLSs) are considered an effective way to identify and track the location of an object in both indoor and outdoor environments as discussed by the authors, and various RTLSs have been developed and made commercially available in recent years.

TL;DR: In this paper, a safety planning platform was created to simulate and visualize spatial movements of work crews using scaffolding, which can automatically identify safety hazards related to activities working on scaffolding and preventive measures can be prepared before the construction begins.

TL;DR: In this paper, a method for point cloud segmentation of masonry arch bridges based on geometric anomalies is presented. But the method does not address the problem of data processing for specific but repetitive infrastructure typologies such as infrastructure assessment and asset management.

TL;DR: Robotic Timber Construction (RTC) as mentioned in this paper is an approach to non-standard timber assembly where robotic fabrication is used to expand additive digital fabrication techniques towards industrial full scale dimensions.

TL;DR: In this article, a SIRMs-based fuzzy controller for transport control of double-pendulum-type systems is presented, where genetic algorithm (GA) is adopted to tune some parameters of the controller.

TL;DR: In this article, an automated quality assessment technique which estimates the dimensions of precast concrete elements with geometry irregularities using terrestrial laser scanners (TLS) is presented. But this technique is not suitable for real-world applications.

TL;DR: In this article, the authors propose an innovative approach to the construction management of historical building interventions based on BIM technologies, and explore different issues such as: • parametric modeling of historical buildings, starting with laser scanner survey: LoD (level of detail) definition and measurement accuracy, with relation to modelling procedures;• parametric modelling of the site and the several phases of restoration work in a fixed schedule (4D dimension); • 3D graphic representation of safety procedures and related tools.

TL;DR: This paper focuses on the first official Italian Public Pilot Project, dealing with the implementation of BIM-based validation and construction optimisation in a construction process, concerned with a residential building located in a dense urban district affected by space shortage and coordination issues.

TL;DR: A method for recording, identifying, and analyzing interactive hazardous near miss situations between workers-on-foot and heavy construction equipment and the definitions and experimental validation of new safety parameters to determine the root causes that lead to equipment- and visibility-related fatalities on construction sites are presented.

TL;DR: A new vehicle detecting and tracking system based on image data collected by UAV, which exhibits high accuracy in traffic information acquisition at different UAV altitudes with different view scopes, which can be used in future traffic monitoring and control in metropolitan areas.

TL;DR: In this article, a multi-objective mixed-integer nonlinear programming model was proposed to minimize noise levels at multiple receivers surrounding the construction site, as well as on-land material transportation costs, through site layout optimisation.

TL;DR: Novel Kalman filters for predicting the movements of the workers and mobile equipment on the construction sites are proposed that take the positions of the equipment and workers estimated from multiple video cameras as input, and output the corresponding predictions on their future positions.

TL;DR: An early-warning system for working in hot and humid environment that can monitor workers' heat strain level when they have to work under such hostile conditions continuously and be automated by integrating smart sensor technology, location tracking technology, and information communication technology.