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Showing papers in "Advanced Engineering Informatics in 2018"


Journal ArticleDOI
TL;DR: A ridgelet transform is applied to a wind signal to decompose it into sub-signals and the output of ridgelettransform is considered as input of new feature selection to identify the best candidates to be used as the forecast engine input.

254 citations


Journal ArticleDOI
TL;DR: Data-driven techniques for forecasting short-term G forecasting in Queensland, Australia, based on the Multivariate Adaptive Regression Spline, Support Vector Regression, and Autoregressive Integrated Moving Average models are adopted and are useful scientific tools for further exploration of real-time electricity demand data forecasting.

201 citations


Journal ArticleDOI
TL;DR: Detecting the presence of workers, plant, equipment, and materials on sites to improve safety and productivity has formed an integral part of computer vision-based research in construction.

190 citations


Journal ArticleDOI
TL;DR: In this paper, the authors present a survey of 3D reconstruction techniques for point cloud reconstruction in the field of civil engineering, summarizing the up-to-date achievements and challenges, and proposing key future research directions.

153 citations


Journal ArticleDOI
TL;DR: Results indicate that deep learning increases the performance of models over simple artificial neural network models, and high computation speed makes deep-learning models suitable for design space exploration.

149 citations


Journal ArticleDOI
TL;DR: In this paper, the authors provide a theoretical discussion of the advantages and limitations of using VR SGs to investigate how building occupants behave during earthquake evacuations and to train building occupants to cope with such emergencies.

118 citations


Journal ArticleDOI
TL;DR: The new approach is an integration of the Multi-Layer Perceptron Neural Network (MLP Neural Nets) and Particle Swarm Optimization (PSO) to establish a prediction model of soil compression coefficient, which is significantly better than those obtained from other benchmark methods.

108 citations


Journal ArticleDOI
TL;DR: In this paper, the authors proposed a novel framework to check whether a site worker is working within the constraints of their certification, which comprises key video clips extraction, trade recognition and worker competency evaluation.

90 citations


Journal ArticleDOI
TL;DR: A Building Information Modeling (BIM)-based visualization and warning system for fire rescue to provide useful information to firefighters such that they can be aware of the fire’s environment and create an effective rescue plan.

83 citations


Journal ArticleDOI
TL;DR: A new method is proposed, where changes are constantly perceived and as-built model continuously updated during the construction process, instead of periodical scanning of the whole building under construction, which enables more efficient project management.

80 citations


Journal ArticleDOI
TL;DR: Based on the experiments in this study, Sf-GDT can generate creative design alternatives for a given model and outperforms existing state-of-the-art techniques.

Journal ArticleDOI
TL;DR: A methodology is introduced to unobtrusively evaluate the ergonomic risk levels caused by overexertion by collecting time-stamped motion data from body-mounted smartphones, automatically detecting workers’ activities through a classification framework, and estimating activity duration and frequency information.

Journal ArticleDOI
TL;DR: A Database-supported VR/BIM-based Communication and Simulation (DVBCS) system integrated with BIM, game engine and VR technologies for healthcare design special in the Semi-immersed VR environment is developed and demonstrated.

Journal ArticleDOI
TL;DR: The experimental results demonstrate that the soft sensor based on the SAE-SVR algorithm is more effective than the existing methods are.

Journal ArticleDOI
TL;DR: Experimental research developed an Augmented Reality application on the Microsoft HoloLens™ headset, and tested it on the first-time users of RTA furniture, showing that the application was effective to improve spatial problem-solving abilities.

Journal ArticleDOI
TL;DR: The present work proposes the construction of an ontological model, capable of being used in several types of mechanical machines, of different types of manufacturing, and the possibility of storing the knowledge contained in events of real activities that allow through consultations in SPARQL for decision-making which enable timely interventions of maintenance in the equipment of a real industry.

Journal ArticleDOI
TL;DR: An FM-BIM integration approach is finally presented using the resultant classifiers to provide facilities management teams with spatio-temporal visualization of the work order categories across a series of buildings to help prioritize and streamline operations and maintenance task assignments.

Journal ArticleDOI
TL;DR: This study inputs just the registered three-dimensional (3D) point-cloud data and segmented the point cloud into separate rooms for more effective performance of the later modeling phases for each room, enabling detection and modeling of the hollow areas as windows or doors.

Journal ArticleDOI
TL;DR: The IFC Monitor schema proposed in this study advances BIM-based descriptions of SHM systems in association with structural systems being monitored on a well-defined, formal basis.

Journal ArticleDOI
TL;DR: Subjective and objective evaluation of potholes localization results in high recall with relatively good accuracy, however, the objective assessment shows the 91.4% accuracy for localization of pothsoles.

Journal ArticleDOI
TL;DR: This paper presents a new 6D-based (XYZ + RGB) approach that processes dense coloured 3D points provided by terrestrial laser scanners in order to recognize the aforementioned smaller objects that are commonly located on walls.

Journal ArticleDOI
TL;DR: This paper is the first paper that has applied text mining and KE for use in product development and can also reduce the time and cost of product design through the automation of repetitive design tasks.

Journal ArticleDOI
TL;DR: The findings of this study provide useful safety gait metrics for early detection of specific spatial foot regions but also allow safety managers to understand the mechanism of loss of balance events in order to implement proactive fall-prevention strategies.

Journal ArticleDOI
TL;DR: This paper proposes a novel approach that employs a deep neural network to recognize and extract residential building objects in airborne LiDAR data that is applicable to airborne Li DAR data sets with varied point densities and with damaged building objects.

Journal ArticleDOI
TL;DR: An approach to HKES combining the methodologies of support vector regression and MOEAs is proposed, suggesting that NSGA-II has good convergence performance and hybrid performance; in contrast, SPEA2 provides the strong diversity required by designers.

Journal ArticleDOI
TL;DR: A means of automating classification for fine-grained soils, using a feed-forward ANN (Artificial Neural Networks) and CPT (Cone Penetration Test) measurements, is presented, representing a significant saving of both time and money streamlining the construction process.

Journal ArticleDOI
TL;DR: A methodology for the modeling and analysis of shield tunneling performance network is proposed which aims at integrating the high dimensional data mining and the complex network approaches for shield performance evaluation.

Journal ArticleDOI
TL;DR: This study builds a quality problem-solving knowledge base (QPSKB) by employing relevant algorithms in the knowledge transformation module (KTM), and provides a comprehensive quality data mining process and method, as well as an intelligent quality problems solving system (IQPSS).

Journal ArticleDOI
TL;DR: This paper proposes a structured approach towards the creation of a building information model of an existing building and its use for the purpose of retrofitting or renovation, based on the standard IFC specification (ISO 16739).

Journal ArticleDOI
TL;DR: An agent-based evacuation simulation model is built to study the pedestrian dynamics and learning process by applying the NeuroEvolution of Augmenting Topologies (NEAT) which is a powerful method to evolve artificial neural networks (ANNs) through genetic algorithms (GAs).