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  Subjects -> COMPUTER SCIENCE (Total: 1991 journals)
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    - COMPUTER SCIENCE (1157 journals)
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COMPUTER SCIENCE (1157 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 13)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 23)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 9)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 16)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 6)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 12)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 4)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 14)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 5)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 1)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 21)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 9)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 11)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 25)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 26)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 16)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15)
Advances in Computer Science : an International Journal     Open Access   (Followers: 14)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 51)
Advances in Engineering Software     Hybrid Journal   (Followers: 26)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 10)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 26)
Advances in Human-Computer Interaction     Open Access   (Followers: 20)
Advances in Materials Sciences     Open Access   (Followers: 16)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 38)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 2)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 8)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Air, Soil & Water Research     Open Access   (Followers: 9)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 4)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 7)
American Journal of Sensor Technology     Open Access   (Followers: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 7)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annual Reviews in Control     Hybrid Journal   (Followers: 6)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 2)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 14)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Computer Systems     Open Access   (Followers: 1)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 11)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 132)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 6)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Computer Science and Information Technology     Open Access  
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 4)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 11)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Bioinformatics     Hybrid Journal   (Followers: 312)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 14)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 17)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 32)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 44)
British Journal of Educational Technology     Hybrid Journal   (Followers: 129)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 2)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal  
Cell Communication and Signaling     Open Access   (Followers: 1)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 15)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 7)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Full-text available via subscription   (Followers: 12)
Circuits and Systems     Open Access   (Followers: 16)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 20)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 53)
Communications of the Association for Information Systems     Open Access   (Followers: 18)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access  
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 6)
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 9)
Computación y Sistemas     Open Access  
Computation     Open Access  
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 12)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 14)
Computational Linguistics     Open Access   (Followers: 23)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 4)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computational Research     Open Access   (Followers: 1)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computational Science and Techniques     Open Access  
Computational Statistics     Hybrid Journal   (Followers: 13)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 31)
Computer     Full-text available via subscription   (Followers: 87)
Computer Aided Surgery     Hybrid Journal   (Followers: 3)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 7)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 8)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 21)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 10)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 1)
Computer Music Journal     Hybrid Journal   (Followers: 16)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 7)
Computer Science and Engineering     Open Access   (Followers: 17)
Computer Science and Information Technology     Open Access   (Followers: 12)
Computer Science Education     Hybrid Journal   (Followers: 13)
Computer Science Journal     Open Access   (Followers: 20)
Computer Science Master Research     Open Access   (Followers: 10)
Computer Science Review     Hybrid Journal   (Followers: 10)

        1 2 3 4 5 6 | Last

Journal Cover Automation in Construction
  [SJR: 1.571]   [H-I: 65]   [6 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0926-5805
   Published by Elsevier Homepage  [3048 journals]
  • Using Mixed Reality for electrical construction design communication
    • Authors: Jad Chalhoub; Steven K. Ayer
      Pages: 1 - 10
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Jad Chalhoub, Steven K. Ayer
      Building Information Modeling (BIM) techniques have enabled the construction industry to realize various benefits. However, most projects still rely on 2D drawings to communicate the 3D BIM content to construction personnel. While Mixed Reality (MR) could theoretically be the primary means of communicating BIM content to onsite personnel in 3D, there is not currently a thorough understanding of how this might impact the construction performance of industry practitioners. This paper explores this topic by examining the field of electrical construction. It addresses research questions related to: MR's influence on the productivity and quality of electrical conduit construction; and the effects of an industry practitioner's background on his or her performance using MR. To address these topics, a quasi-experiment was conducted that compares the performance of eighteen electrical construction personnel who were tasked with building similar conduit assemblies using traditional paper and MR. Participants completed pre- and post-activity questionnaires to provide their perceptions of the experience. The results suggest that MR enabled: a significantly higher productivity rate; reduced the time required to understand the design; led to fewer errors during the assembly process; and increased the number of accurately constructed conduits as compared to the conduits constructed using traditional paper. Additionally, nearly all participants agreed that MR is easy to use, but most still felt that they would prefer to use paper plans for design communication. The findings of this work were noteworthy because many of the participants had substantial prior experience constructing conduit using paper plans, yet they still performed the task better and faster using MR. While the small sample size limits the extent to which these findings can be generalized, the contribution of this work is in demonstrating, as a proof-of-concept, that MR can be a viable option for communicating existing BIM content to current industry practitioners and that it can offer advantages that are not currently observed through the use of a paper-based communication methods.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.10.028
      Issue No: Vol. 86 (2017)
       
  • Interior construction state recognition with 4D BIM registered image
           sequences
    • Authors: Christopher Kropp; Christian Koch; Markus König
      Pages: 11 - 32
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Christopher Kropp, Christian Koch, Markus König
      Deviations from planned schedules in construction projects frequently lead to unexpected financial disadvantages. However, early assessment of delays or accelerations during the phase of construction enables the adjustment of subsequent and dependent tasks. Manually performed, this involves many human resources if as-built information is not immediately available. This is particularly valid for indoor environments, where a general overview of tasks is not given. In this paper, we present a novel method that increases the degree of automation for indoor progress monitoring. The novel method recognizes the actual state of construction activities from as-built video data based on as-planned BIM data using computer vision algorithms. To achieve that, two main steps are incorporated. The first step registers the images with the underlying 4D BIM model. This means the discovery of the pose of each image of a sequence according to the coordinate system of the building model. Being aware of the image origin, it allows for the advanced interpretation of the content in consecutive processing. In the second step, the relevant tasks of the expected state of the 4D BIM model are projected onto the image space. The resulting image regions of interest are then taken as input for the determination of the activity state. The method is extensively tested in the experiment section of this paper. Since each consecutive process is based on the output of preceding steps, each process of the introduced method is tested for its standalone characteristics. In addition, the general manner of applicability is evaluated by means of two exemplary tasks as a concluding proof of the success of the novel method. All experiments show promising results and direct towards automatic indoor progress monitoring.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.10.027
      Issue No: Vol. 86 (2017)
       
  • Linking BIM and Design of Experiments to balance architectural and
           technical design factors for energy performance
    • Authors: Arno Schlueter; Philipp Geyer
      Pages: 33 - 43
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Arno Schlueter, Philipp Geyer
      To transform the existing energy systems towards renewable energy sources, buildings need to use less energy, use energy more efficiently and harness local renewable energy sources. For the design of energy-efficient buildings, building energy simulation of varying sophistication is commonly employed. Types of simulations range from simple, static calculations to sophisticated dynamic simulation. Especially for building retrofit many assumptions on construction, material etc. have to be taken, which increases the uncertainty of simulation results. In conjunction with simulation, methods of Building Performance Optimization are increasingly employed. They are able to identify best performing designs however do not provide insights on the mechanisms and interdependencies of the different design factors, which are most valuable to make informed design decisions. We present a methodology that aims to provide a better understanding and create knowledge about the influence and interactions of different architectural and technical design factors on building energy performance of a specific design task. For this purpose, we introduce Design of Experiments (DoE) in an integrated design workflow using the Design Performance Viewer (DPV) toolset, combining Building Information Modeling (BIM), distributed dynamic simulation and statistical analysis of the extensive simulation results. The experiments created using the methodology allow to identify the strength of effects and interactions of different design factors on selected performance indicators. We apply the methodology on an office retrofit case, introducing a factor scatterplot for result visualization, development and comparison of retrofit strategies. We further evaluate its potential to identify high performing strategies while balancing architectural and technical factors and their impact on energy performance.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.10.021
      Issue No: Vol. 86 (2017)
       
  • Performance evaluation of 3D descriptors for object recognition in
           construction applications
    • Authors: Jingdao Chen; Yihai Fang; Yong K. Cho
      Pages: 44 - 52
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Jingdao Chen, Yihai Fang, Yong K. Cho
      3D object recognition from field-acquired point cloud data is important for modeling, manipulation, visualization and other post-processing tasks in the construction domain. However, building semantically-rich models from raw point cloud data is a difficult task due to the high volume of unstructured information as well as confounding factors such as noise and occlusion. Although there exist several computational recognition methods available, their performance robustness for construction applications are not well known. Therefore, this research aims to review and evaluate state-of-the-art descriptors for 3D object recognition from raw point clouds for construction applications such as workspace modeling, asset management and worker tracking. The evaluation was carried out using 3D CAD models with known labels as training data and laser-scanned point clouds from construction sites as testing data. The recognition performance was evaluated with respect to varying level of detail, noise level, degree of occlusion, and computation time. Experimental results show that for all evaluated descriptors, increasing the level of detail and decreasing the noise level results in a moderate increase in recognition accuracy whereas reducing occlusion results in a significant increase in recognition accuracy. In addition, experimental results suggest that the key features that distinguish an object can be derived around the 10mm level and any further increase in the level of detail do not significantly increase the recognition accuracy.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.10.033
      Issue No: Vol. 86 (2017)
       
  • IFCdiff: A content-based automatic comparison approach for IFC files
    • Authors: Xin Shi; Yu-Shen Liu; Ge Gao; Ming Gu; Haijiang Li
      Pages: 53 - 68
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Xin Shi, Yu-Shen Liu, Ge Gao, Ming Gu, Haijiang Li
      With the growth in popularity of the IFC (Industry Foundation Classes) format used in construction industry, it often requires effective methods of IFC comparison to keep track of important changes during the lifecycle of construction projects. However, most IFC comparisons are based on a visual inspection, a manual count and a check of selective attributes. Although a few techniques about automatic IFC comparisons have been developed recently, they are usually time-consuming, and are sensitive to the GUID change or redundant instances in IFC files. To address these issues, we propose a content-based automatic comparison approach, named IFCdiff, for detecting differences between two IFC files. The proposed approach starts with a comprehensive analysis of the structure and content of each IFC file, and then constructs its hierarchical structure along with eliminating redundant instances. Next, the two hierarchical structures are compared with each other for detecting changes in an iterative bottom-up procedure. Our approach fully considers the content of IFC files without the need of flattening instances in IFC files. In contrast with previous methods, our approach can greatly reduce the computational time and space, and the comparison result is not sensitive to redundant instances in IFC files. Finally, we demonstrate a potential application to incremental backup of IFC files. The software can be found at: http://cgcad.thss.tsinghua.edu.cn/liuyushen/ifcdiff/.
      Graphical abstract image

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.10.013
      Issue No: Vol. 86 (2017)
       
  • Framework for modeling operational uncertainty to optimize offsite
           production scheduling of precast components
    • Authors: Zhaojing Wang; Hao Hu; Jie Gong
      Pages: 69 - 80
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Zhaojing Wang, Hao Hu, Jie Gong
      Current precast production scheduling methodologies have limited applicability in practice due to the neglect of real-world production circumstances. To improve, a two-hierarchy simulation-GA hybrid model for precast production (TSGH_PP) is developed to (1) specialize the operations of precast production according to their characteristics, (2) incorporate the uncertainty in processing time in practice, and (3) model the process-waiting time on the flow of work based on the genetic algorithm and discrete event simulation. In the proposed model, the trade-off can be achieved between the conflicting goals of the on-time delivery of precast components and minimum production cost, and the production resources configuration is optimized to cut down resource waste. Finally, a real case study is conducted to test the validity of TSGH_PP approach. The developed model fills the gap in simulation system design and methodology for precast production, and increases the applicability of precast production scheduling methods in real construction projects.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.10.026
      Issue No: Vol. 86 (2017)
       
  • Optimal placement of precast bridge deck slabs with respect to precast
           girders using 3D laser scanning
    • Authors: Seongheum Yoon; Qian Wang; Hoon Sohn
      Pages: 81 - 98
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Seongheum Yoon, Qian Wang, Hoon Sohn
      Because precast components offer faster production, lower cost, and more efficient construction, more and more bridges are constructed using precast components rather than conventional on-site construction. For example, precast bridge deck slabs are placed on precast girders, and they are connected by shear pockets on deck slabs and shear connectors on girders. For the coupling of deck slabs and girders, it is important to ensure proper connections between shear pockets and shear connectors. However, shear pockets and shear connectors often do not match properly at construction sites because of dimensional errors and misalignments. Furthermore, precast girders deform over time due to their heavy weights, time dependent creep and shrinkage, pre- or post-tensioning, etc., once they are placed on sites. To match these components at construction sites, workers often need to trim and cut some components, delaying construction processes. To shorten such delay, this study proposes a laser scanning and signal processing technique that can automatically identify the optimal placement of precast bridge deck slabs with respect to precast girders by minimizing mismatches between shear pockets and shear connectors. First, scan data from precast bridge deck slabs and precast girders are acquired using a 3D laser scanner, and their dimensions are estimated including the locations and dimensions of shear pockets using DBSCAN and mixed pixel filtering algorithms. Next, locations of the shear connectors are extracted from the scan data of the precast girders using RANSAC and K-means clustering algorithms. Finally, the optimal placement of the deck slabs with respect to the girders is determined by solving a nonlinear minimization problem considering the locations and sizes of the extracted precast components. To validate the performance of the proposed technique, experiments were conducted on small-scale test specimens and at an actual construction field. The experimental results demonstrated that the proposed technique could effectively estimate the optimal placement of precast bridge deck slabs with respect to precast girders.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.11.004
      Issue No: Vol. 86 (2017)
       
  • Polygonization of point clouds of repetitive components in civil
           infrastructure based on geometric similarities
    • Authors: Nao Hidaka; Takashi Michikawa; Ali Motamedi; Nobuyoshi Yabuki; Tomohiro Fukuda
      Pages: 99 - 117
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Nao Hidaka, Takashi Michikawa, Ali Motamedi, Nobuyoshi Yabuki, Tomohiro Fukuda
      Graphical abstract image

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.10.014
      Issue No: Vol. 86 (2017)
       
  • A deep hybrid learning model to detect unsafe behavior: Integrating
           convolution neural networks and long short-term memory
    • Authors: Lieyun Ding; Weili Fang; Hanbin Luo; Peter E.D. Love; Botao Zhong; Xi Ouyang
      Pages: 118 - 124
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Lieyun Ding, Weili Fang, Hanbin Luo, Peter E.D. Love, Botao Zhong, Xi Ouyang
      Computer vision and pattern recognition approaches have been applied to determine unsafe behaviors on construction sites. Such approaches have been reliant on the computation of artificially complex image features that utilize a cumbersome parameter re-adjustment process. The creation of image features that can recognize unsafe actions, however, poses a significant research challenge on construction sites. This due to the prevailing complexity of spatio-temporal features, lighting, and the array of viewpoints that are required to identify an unsafe action. Considering these challenges, a new hybrid deep learning model that integrates a convolution neural network (CNN) and long short-term memory (LSTM) that automatically recognizes workers' unsafe actions is developed. The proposed hybrid deep learning model is used to: (1) identify unsafe actions; (2) collect motion data and site videos; (3) extract the visual features from videos using a CNN model; and (4) sequence the learning features that are enabled by the use of LSTM models. An experiment is used to test the model's ability to detect unsafe actions. The results reveal that the developed hybrid model (CNN+LSTM) is able to accurately detect safe/unsafe actions conducted by workers on-site. The model's accuracy exceeds the current state-of-the-art descriptor-based methods for detecting points of interest on images.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.11.002
      Issue No: Vol. 86 (2017)
       
  • Real-time simulation of construction workers using combined human body and
           hand tracking for robotic construction worker system
    • Authors: Manoj Kurien; Min-Koo Kim; Marianna Kopsida; Ioannis Brilakis
      Pages: 125 - 137
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Manoj Kurien, Min-Koo Kim, Marianna Kopsida, Ioannis Brilakis
      Construction is an inherently less safe sector than other sectors because it exposes workers to harsh and dangerous working environments. The nature of the construction industry results in a comparatively high incidence of serious injuries and death caused by falls from a height, musculoskeletal disorders and being struck by objects. This paper presents a new concept that can tackle this problem in the future. The central hypothesis of this study is that it is possible to eliminate injuries if we move the human construction worker off-site and remotely link his/her motions to a Robotic Construction Worker (RCW) on-site. As a first steppingstone towards this ultimate goal, two systems essential for the RCW were developed in this study. First, a novel system that combines 3D body and hand position tracking was developed to capture the movements of human construction worker. This combination of tracking enables the capture of changes in the orientations and articulations of the entire human body. Second, a real-time simulation system that connects a human construction worker off-site to a virtual RCW was developed to demonstrate the proposed concept in a variety of construction scenarios. The simulation results demonstrate the future viability of the RCW concept and indicate the promise of this system for eliminating the health and safety risks faced by human construction workers.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.11.005
      Issue No: Vol. 86 (2017)
       
  • Detecting non-hardhat-use by a deep learning method from far-field
           surveillance videos
    • Authors: Qi Fang; Heng Li; Xiaochun Luo; Lieyun Ding; Hanbin Luo; Timothy M. Rose; Wangpeng An
      Pages: 1 - 9
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Qi Fang, Heng Li, Xiaochun Luo, Lieyun Ding, Hanbin Luo, Timothy M. Rose, Wangpeng An
      Hardhats are an important safety measure used to protect construction workers from accidents. However, accidents caused in ignorance of wearing hardhats still occur. In order to strengthen the supervision of construction workers to avoid accidents, automatic non-hardhat-use (NHU) detection technology can play an important role. Existing automatic methods of detecting hardhat avoidance are commonly limited to the detection of objects in near-field surveillance videos. This paper proposes the use of a high precision, high speed and widely applicable Faster R-CNN method to detect construction workers' NHU. To evaluate the performance of Faster R-CNN, more than 100,000 construction worker image frames were randomly selected from the far-field surveillance videos of 25 different construction sites over a period of more than a year. The research analyzed various visual conditions of the construction sites and classified image frames according to their visual conditions. The image frames were input into Faster R-CNN according to different visual categories. The experimental results demonstrate that the high precision, high recall and fast speed of the method can effectively detect construction workers' NHU in different construction site conditions, and can facilitate improved safety inspection and supervision.

      PubDate: 2017-10-11T09:15:01Z
      DOI: 10.1016/j.autcon.2017.09.018
      Issue No: Vol. 85 (2017)
       
  • Heritage site preservation with combined radiometric and geometric
           analysis of TLS data
    • Authors: Luis Javier Sánchez-Aparicio; Susana Del Pozo; Luís F. Ramos; Andrés Arce; Francisco M. Fernandes
      Pages: 24 - 39
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Luis Javier Sánchez-Aparicio, Susana Del Pozo, Luís F. Ramos, Andrés Arce, Francisco M. Fernandes
      Damage mapping is considered a critical stage in the correct diagnosis of the state of conservation of Cultural Heritage manifestations. The common approach generally implies a large user interaction to map the different pathological processes presented on 2D documents such as elevations or sections, among others. In contrast with this practice, the present paper proposes a semiautomatic 3D-methodology, with a minimum user interaction, able to accurately analyse both radiometric and geometric data recovered by a non-contact technology (Terrestrial Laser Scanning), allowing the extraction and quantification of a wide diversity of pathological processes from biological colonization to deformations. This approach is therefore a potential tool for the rapid and accurate diagnosis of Cultural Heritage. To confirm the applicability and potential offered by the proposed methodology, a highly affected historical masonry, the San Francisco Master Gate of the Almeida Fortress (Portugal), was evaluated by using the Faro Focus 3D 120 Laser Scanner.

      PubDate: 2017-10-18T05:16:56Z
      DOI: 10.1016/j.autcon.2017.09.023
      Issue No: Vol. 85 (2017)
       
  • FPSWizard: A web-based CBR-RBR system for supporting the design of active
           fall protection systems
    • Authors: Yang Miang Goh; Brian H.W. Guo
      Pages: 40 - 50
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Yang Miang Goh, Brian H.W. Guo
      Fall from height is a perennial problem in the construction industry. Active fall protection system (AFPS) is frequently a must in situations where working conditions are difficult and other controls are not feasible or inadequate. However, the design and selection of AFPS are still problematic in the construction industry. This paper aims to develop an online knowledge-based system, FPSWizard, to support the design and selection of AFPS. The hybrid system adopts a combination of case-based reasoning (CBR) and rule-based reasoning (RBR) to improve retrieval performance. FPSWizard is meant to recommend suitable AFPS based on similar past design cases. Potential end users, such as professional engineers and safety professionals, can use the system as a decision support system when they are selecting and designing a solution to the work-at-height problem at hand. A total of fifty stored cases were created based on actual work scenarios and AFPS designs in the construction industry. A case structure was also created using the AFPS-Ontology. The system was assessed using a leave-one-out cross validation approach, where fifty cases in the case base were used to test the retrieval performance of the system. The hybrid CBR-RBR approach had an average positive predictive value (PPV) (or precision) of 90%. In comparison, a pure CBR approach had an average PPV of 76%. FPSWizard forms an important part of an intelligent system which provides comprehensive solutions to fall from height. This paper also made important strides towards intelligent safety engineering and management in the construction industry.

      PubDate: 2017-10-18T05:16:56Z
      DOI: 10.1016/j.autcon.2017.09.020
      Issue No: Vol. 85 (2017)
       
  • Zero latency: Real-time synchronization of BIM data in virtual reality for
           collaborative decision-making
    • Authors: Jing Du; Zhengbo Zou; Yangming Shi; Dong Zhao
      Pages: 51 - 64
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Jing Du, Zhengbo Zou, Yangming Shi, Dong Zhao
      Virtual Reality (VR) has attracted increasing attention of the Architecture, Engineering, Construction and Facility Management (AEC/FM) industry in recent years, as it shows a great potential to improve workflow efficiency through enhanced common understanding. A problem with current VR applications in AEC/FM is that the manual conversation from official design data (e.g., a BIM model) to VR displays is difficult and time consuming. There is a lack of automated and efficient data transfer approach between BIM and VR. In this paper, we will introduce a BIMVR real-time synchronization system called BVRS, which is based on an innovative Cloud-based BIM metadata interpretation and communication method. BVRS allows users to update BIM model changes in VR headsets (such as Oculus Rift DK2) automatically and simultaneously. We tested BVRS in a variety of design change scenarios including changing object dimensions, changing object locations and changing object types. Results confirmed the usability and efficiency of BVRS.

      PubDate: 2017-10-18T05:16:56Z
      DOI: 10.1016/j.autcon.2017.10.009
      Issue No: Vol. 85 (2017)
       
  • Assessment of operator's situation awareness for smart operation of mobile
           cranes
    • Authors: Yihai Fang; Yong K. Cho; Frank Druso; Jongwon Seo
      Pages: 65 - 75
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Yihai Fang, Yong K. Cho, Frank Druso, Jongwon Seo
      Equipment operators play an integral role in the safe and efficient operation of heavy equipment. They observe the environment, understand the situation, and make decisions and actions accordingly. Compared with other types of equipment, operating a crane is more sophisticated and mentally demanding, and thus crane operators are more vulnerable to human errors. Therefore, special considerations to mitigate operator errors should be taken when designing an operator-assistance system for construction cranes. With the goal of improving the operators' situation awareness (SA) of safety risks, this research presents a novel framework and practical system architecture for an operator-assistance system by leveraging real-time motion sensing and 3D modeling of dynamic workspaces. An approach for evaluating operators' SA was proposed to validate the effectiveness of the assistance system in actual lifting operations. Results in a series of field tests indicated that the prototype system improved the operators' SA which resulted in an improved lift performance.

      PubDate: 2017-10-18T05:16:56Z
      DOI: 10.1016/j.autcon.2017.10.007
      Issue No: Vol. 85 (2017)
       
  • Reconstruction of scaffolds from a photogrammetric point cloud of
           construction sites using a novel 3D local feature descriptor
    • Authors: Yusheng Xu; Sebastian Tuttas; Ludwig Hoegner; Uwe Stilla
      Pages: 76 - 95
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Yusheng Xu, Sebastian Tuttas, Ludwig Hoegner, Uwe Stilla
      Scaffolds always act as disturbances when reconstructing the 3D scene of the construction site due to occlusions, similarities with buildings in color and height as well as their adjacent positions to wall surfaces. Since scaffolds are commonly utilized to assist the construction and maintenance of building structures, professionals can estimate the overall progress and temporal objects of construction projects by assessing the status or arrangement of the scaffolds. Its thin, repeating and complex structures also make it a valuable dataset for testing related algorithms and approaches for the reconstruction of 3D construction site scene. To this end, we present a data-driven workflow for the detection and reconstruction of scaffolding components, including tubes, toeboards, and decks, given a photogrammetric point cloud. Our workflow consists of two parts: one part concerns the strategy based on projection and methods of grouping and slicing planar surfaces for detecting and extracting points of scaffolds from the construction site. The other part relates to the point feature derivation using a novel 3D local feature descriptor LSSHOT, designed for extracting features in the classification of points. Specifically, our workflow is implemented by five major steps, including preprocessing of the point cloud, division of building facades, classification of points, geometric modeling and refinement of results. To evaluate our proposed descriptor, a series of simulated experiments using synthetic datasets is conducted via shape matching tests. A real application is also carried out to validate the feasibility and effectiveness of our workflow using the photogrammetric point cloud of a construction site. Results of simulated experiments reveal that our proposed descriptor outperforms the original SHOT descriptor in the simulated test, especially when dealing with point clouds having a large percentage of noise. Regarding the real application of reconstructing scaffolds, points of scaffolds are successfully detected, extracted, and reconstructed. For a facade having enough points, over 70% of the scaffolding elements are reconstructed. For the classification of points using LSSHOT descriptor and a random forest classifier, the accuracy of results for the points of two major scaffolding elements reaches more than 70% in our test examples.

      PubDate: 2017-10-18T05:16:56Z
      DOI: 10.1016/j.autcon.2017.09.014
      Issue No: Vol. 85 (2017)
       
  • Wearable technology for personalized construction safety monitoring and
           trending: Review of applicable devices
    • Authors: Ibukun Awolusi; Eric Marks; Matthew Hallowell
      Pages: 96 - 106
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Ibukun Awolusi, Eric Marks, Matthew Hallowell
      The construction process is considered a very risky endeavor because of the high frequency of work-related injuries and fatalities. The collection and analysis of safety data is an important element in measurement and improvement strategy development. The adoption of wearable technology has the potential for a result-oriented data collection and analysis approach to providing real-time information to construction personnel. The objective of this paper is to provide a comprehensive review of the applications of wearable technology for personalized construction safety monitoring. The characteristics of wearable devices and safety metrics thought to be capable of predicting safety performance and management practices are identified and analyzed. The review indicates that the existing wearable technologies applied in other industrial sectors can be used to monitor and measure a wide variety of safety performance metrics within the construction industry. Benefits of individual wearable sensors or systems can be integrated based on their attributes for multi-parameter monitoring of safety performance.

      PubDate: 2017-10-18T05:16:56Z
      DOI: 10.1016/j.autcon.2017.10.010
      Issue No: Vol. 85 (2017)
       
  • Automated point mapping for building control systems: Recent advances and
           future research needs
    • Authors: Weimin Wang; Michael R. Brambley; Woohyun Kim; Sriram Somasundaram; Andrew J. Stevens
      Pages: 107 - 123
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Weimin Wang, Michael R. Brambley, Woohyun Kim, Sriram Somasundaram, Andrew J. Stevens
      This paper presents a review of recent research and development on methodologies relevant to automating mapping of points in building control systems and between building control systems and external or replacement software and hardware. Manual point mapping is labor intensive and costly, presenting a major impediment to innovations in building control (e.g., automated fault detection and diagnostics, self-healing, and automated commissioning for existing building control systems). The methods reviewed focus on classifying building control system points, especially sensor classifications by sensor type. Fewer publications address other important aspects of the point mapping problem, such as discovering spatial and functional relationships among points, relationships between control system points, physical systems, and equipment, and between various equipment and the systems of which they are part, and discovering metadata, normalizing it to a common namespace, and assigning the metadata to control system points. To motivate further development of new automated point mapping approaches, we identify many research questions organized into four key technical needs: 1) a complete solution and underlying problem formulation, 2) alignment of methods with the actual point mapping problem, 3) test cases, data sets for testing, explicit test procedures, and consistent performance metrics for reporting testing and evaluation results, and 4) understanding of the applicable data space to ensure future adaptability of automated BAS point mapping.
      Graphical abstract image

      PubDate: 2017-10-26T07:24:39Z
      DOI: 10.1016/j.autcon.2017.09.013
      Issue No: Vol. 85 (2017)
       
  • Development of a safety performance index assessment tool by using a fuzzy
           structural equation model for construction sites
    • Authors: Murat Gunduz; M. Talat Birgonul; Mustafa Ozdemir
      Pages: 124 - 134
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Murat Gunduz, M. Talat Birgonul, Mustafa Ozdemir
      The main goal of this study is to propose a safety performance index assessment tool to improve the construction safety. Formulation of the safety performance index of construction sites is achieved upon a validated multidimensional safety performance model. The contribution of this study could be summarized as incorporation of fuzzy set theory into structural equation modeling to develop a safety performance index assessment software tool. Case studies were conducted at 11 international construction sites and the results of their site safety performance indices were benchmarked. A short (simple) safety performance model was developed as an alternative to the full model (proposed model) to assess safety performance of construction sites. Results showed that short model predicts the safety performance with an acceptable accuracy and requires less time to complete. Finally, a safety performance index assessment software tool for construction sites was proposed by developing a site safety performance (SSP) application for mobile devices based on the validated multidimensional safety performance model. The paper attempts to numerically validate the influencing factors of construction safety with the help of a mobile device application. The paper also develops a mobile application tool to measure safety performance at any construction site.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.012
      Issue No: Vol. 85 (2017)
       
  • An interactive augmented reality tool for constructing free-form modular
           surfaces
    • Authors: Alireza Fazel; Abbasali Izadi
      Pages: 135 - 145
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Alireza Fazel, Abbasali Izadi
      Although modern software has paved the way for architects to design complex forms, such as free-forms, construction remains challenging, costly, and time-consuming which requires skilled workers. Advanced digital fabrication technologies can offer new ways to fill the gap between design and construction. Augmented Reality (AR) technology is one such technology that has many potentials in various fields, however, its capabilities are not sufficiently explored yet, especially in the field of digital fabrication. This study presents a new affordable interactive multi-marker augmented reality tool for constructing free-form modular surfaces implemented by integrating common accessible devices. The proposed tool consists of two digital cameras, a head-mounted display, a processor, and two markers that enable the user to virtually see the accurate location of any proposed object in the real world. A controlling subsystem was also designed to enhance the accuracy of construction. Method efficiency was studied in five full-scale prototypes. The results showed that the majority of errors (91%) were less than 6mm, and 2° for lateral placements and orientation errors.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.015
      Issue No: Vol. 85 (2017)
       
  • Door detection in 3D coloured point clouds of indoor environments
    • Authors: B. Quintana; S.A. Prieto; A. Adán; F. Bosché
      Pages: 146 - 166
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): B. Quintana, S.A. Prieto, A. Adán, F. Bosché
      Door detection is becoming an increasingly important subject in building indoor modelling owing to its value in scan-to-BIM processes. This paper presents an original approach that detects open, semi-open and closed doors in 3D laser scanned data of indoor environments. The proposed technique is unique in that it integrates the information regarding both the geometry (i.e. XYZ coordinates) and colour (i.e. RGB or HSV) provided by a calibrated set of 3D laser scanner and a colour camera. In other words, our technique is developed in a 6D-space framework. The geometry-colour integration and other characteristics of our method make it robust to occlusion and variations in colours resulting from varying lighting conditions at each scanning location (e.g. specular highlights) and from different scanning locations. In addition to this paper, the authors also contribute a public dataset of real scenes along with an annotated ground truth. The dataset has varying levels of challenges and will help to assess the performance of new and existing contributions in the field. The approach proposed in this paper is tested against that dataset, yielding encouraging results.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.016
      Issue No: Vol. 85 (2017)
       
  • Interoperability specification development for integrated BIM use in
           performance based design
    • Authors: Yusuf Arayici; Terrence Fernando; Victor Munoz; May Bassanino
      Pages: 167 - 181
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Yusuf Arayici, Terrence Fernando, Victor Munoz, May Bassanino
      Interoperability in BIM is low and the focus is on 3D coordination. Despite the available standards including IFC and IDM, there is still no clear guidance how such standards can be effectively used for performance based design. Thus, early collaboration is discouraged and performance analysis is conducted as late as possible to minimize the number of information exchanges, leading to difficulties and costly changes in design that is almost completed. Aim is to propose an interoperability specification development approach for performance based design through the Design4Energy case study project. Findings show that the design process had increased flexibility, shared understanding between stakeholders about what information nuggets should be provided from whom to whom, at what stage, using which tool and data model. It can guide for the integrated BIM practice and help developing BIM execution plans for Level 2 BIM while paving the way for Level 3 BIM.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.018
      Issue No: Vol. 85 (2017)
       
  • Supporting smart construction with dependable edge computing
           infrastructures and applications
    • Authors: Petar Kochovski; Vlado Stankovski
      Pages: 182 - 192
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Petar Kochovski, Vlado Stankovski
      The Internet of Things (IoT) such as the use of robots, sensors, actuators, electronic signalization and a variety of other Internet enabled physical devices may provide for new advanced smart applications to be used in construction in the very near future. Such applications require real-time responses and are therefore time-critical. Therefore, in order to support collaboration, control, monitoring, supply management, safety and other construction processes, they have to meet dependability requirements, including requirements for high Quality of Service (QoS). Dependability and high QoS can be achieved by using adequate number and quality of computing resources, such as processing, memory and networking elements, geographically close to the smart environments. The goal of this study is to develop a practical edge computing architecture and design, which can be used to support smart construction environments with high QoS. This study gives particular attention to the solution design, which relies on latest cloud and software engineering approaches and technologies, and provides elasticity, interoperability and adaptation to companies' specific needs. Two edge computing applications supporting video communications and construction process documentation are developed and demonstrate a viable edge computing design for smart construction.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.008
      Issue No: Vol. 85 (2017)
       
  • Tripping risk evaluation system based on human behavior simulation in
           laser-scanned 3D as-is environments
    • Authors: Tsubasa Maruyama; Satoshi Kanai; Hiroaki Date
      Pages: 193 - 208
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Tsubasa Maruyama, Satoshi Kanai, Hiroaki Date
      Tripping-related falls are the leading cause of unintentional deaths in the elderly. Tripping risk must be evaluated by considering intrinsic and extrinsic factors affecting the interactions between humans and the environment. The goal of this study is to develop a new tripping risk evaluation system based on human behavior simulation in an “as-is” environment model, i.e., environment model reflecting detailed environmental geometry. First, a three-dimensional (3D) as-is environment model is automatically constructed from laser-scanned point clouds in the environment. From this model, potential tripping-hazard regions are automatically detected. Finally, the tripping risk of detected hazard region is quantitatively evaluated based on a combined human behavior and Monte Carlo simulation. The simulated tripping risk is compared with that measured using real humans, and it is revealed that the dimensional limit of risk evaluation accuracy in terms of barrier height on a walking terrain is very close to 10 mm.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.011
      Issue No: Vol. 85 (2017)
       
  • An innovative building envelope (kinetic façade) with Shape Memory Alloys
           used as actuators and sensors
    • Authors: Marco Formentini; Stefano Lenci
      Pages: 220 - 231
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Marco Formentini, Stefano Lenci
      A panel actuated by a Shape Memory Alloys (SMA) wire is proposed for building envelopes, in particular ventilated façades, and is aimed at improving architectural and energetic performances of buildings. The SMA is used with two purposes: energy-free thermal sensors (not requiring electric current or other energy sources to be activated), and actuators where the movement is due to the large amount of energy produced by phase changing associated with thermal variations. During summer, façade panels open to allow natural ventilation in the cavity in between the external façade and the internal wall, while during winter panels close for building thermal insulation, provided by the still air in the cavity. We investigate the theoretical background behind the panel idea, and then we develop a prototype where its practical feasibility is shown. The material is Aluminum for the panel and Nitinol (Ni-Ti) for the wire providing the necessary force to open the panel. The final aim is the achievement of a sustainable façade that reacts to thermal variations without energy supply.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.006
      Issue No: Vol. 85 (2017)
       
  • Advanced planning model of formwork layout for productivity improvement in
           high-rise building construction
    • Authors: Dongmin Lee; Hyunsu Lim; Taehoon Kim; Hunhee Cho; Kyung-In Kang
      Pages: 232 - 240
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Dongmin Lee, Hyunsu Lim, Taehoon Kim, Hunhee Cho, Kyung-In Kang
      The recent trend toward irregular shapes in high-rise building construction makes planning formwork layouts a more complex and laborious task that has been mainly conducted by a heuristic method based on the intuitive judgment of formwork engineers. This study suggests a new planning approach integrated with practical software for formwork layout that is optimized for deploying formwork panels around structural obstacles while minimizing manual efforts. The proposed approach uses a harmony search algorithm (HSA); it has demonstrated improvement in work efficiency of formwork and has reduced formwork costs by minimizing both the use of nonstandard panels and the total number of panels. A case verification showed that the proposed planning method provided a 56% decrease in nonstandard panel-covered area with 14.1% lower cost than the previous heuristic approach by a formwork expert. Moreover, the results indicated that HSA was more efficient than the genetic algorithm (GA) in layout planning of formwork panels. The advanced planning method will support formwork engineers and will also contribute to increasing formwork productivity.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.09.019
      Issue No: Vol. 85 (2017)
       
  • Mathematical programming models for construction site layout problems
    • Authors: Wen Yi; Hung-Lin Chi; Shuaian Wang
      Pages: 241 - 248
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Wen Yi, Hung-Lin Chi, Shuaian Wang
      We address the construction site layout problem that determines the locations of temporary facilities. Mathematical programming models for the site layout problem are proposed, which can be solved by state-of-the-art solvers to optimality. A number of safety, health and environmental concerns, such as falling objects, dusts, and noise, are incorporated in the extensions of the mathematical models. We demonstrate, using numerical experiments, the superiority of our proposed mathematical programming model over existing heuristics in terms of solution optimality and the wide applicability in terms of handling practical considerations. Based on the results of conducted experiments, the proposed method achieved a 3–19% improvement on optimality over those of the existing heuristics methods. The contribution of this research work includes the advanced development of a mathematical programming model incorporating extended concerns and solving site layout problems within reasonable time.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.031
      Issue No: Vol. 85 (2017)
       
  • Logic for ensuring the data exchange integrity of building information
           models
    • Authors: Yong-Cheol Lee; Charles M. Eastman; Wawan Solihin
      Pages: 249 - 262
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Yong-Cheol Lee, Charles M. Eastman, Wawan Solihin
      Industry domains require distinct data and structures of building information models developed and tailored for their disciplines. To seamlessly exchange the building information models, Industry Foundation Classes (IFC), which is one of neutral formats, has been broadly used the architecture, engineering and construction, and facility management industries. Model views definitions (MVD), which is one of the IFC sub-schemas used by domain experts and BIM software vendors, consists of IFC-mapped data exchange requirements of each domain and helps software vendors develop IFC import and export features that allow project participants share and exchange BIM information. Because of the heterogeneous translation processes and structures of IFC interfaces according to model views, their validation is imperative to ensure the integrity of BIM data and maintain a consistent data exchange environment. To accomplish this objective, this paper suggests a new approach to evaluating BIM data in accordance with diverse requirements of MVD. Since MVD entails various types of data exchange specifications, this research examines their embedded checking rule types and categorizes corresponding implementation scenarios. In addition, this paper involves rule logic and IfcDoc-based BIM data validation developed based on the logical rule compositions of identified rules types and checking scenarios. This approach is expected to support sharing consistent BIM data sets and confirming the quality of received data pertaining to the syntax and semantics of a targeted model view.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.08.010
      Issue No: Vol. 85 (2017)
       
  • Interlocking system for enhancing the integrity of multi-storey modular
           buildings
    • Authors: Pezhman Sharafi; Mina Mortazavi; Bijan Samali; Hamid Ronagh
      Pages: 263 - 272
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Pezhman Sharafi, Mina Mortazavi, Bijan Samali, Hamid Ronagh
      Maintaining the structural integrity against severe loading conditions and accidental loads is one of the primary concerns when designing multi-storey modular buildings. Connections between the modular units play a central role in providing integrity in modular buildings. This paper describes the development of an innovative interlocking system for improving the integrity of multi-storey modular buildings. The concept of Modular Integrating System (MIS) and the procedure used to develop an efficient interlocking system, which can be widely used in the construction of modular buildings, is investigated. MIS is a patented joining system including a set of interlocking connections and the method of assembly of modular units that provides a high level of integrity that prevents accidental disassembly and stress concentrations at the points of attachments in case of extreme loading occurrence. The creative easy to install, self-fit and self-locking mechanism of this system can also considerably facilitate the automated assembly of modular buildings and provide an effective solution for controlling construction tolerance. The robustness provided by the proposed system is demonstrated through numerical and experimental analysis.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.023
      Issue No: Vol. 85 (2017)
       
  • Differential Big Bang - Big Crunch algorithm for construction-engineering
           design optimization
    • Authors: Doddy Prayogo; Min-Yuan Cheng; Yu-Wei Wu; Albertus Arief Herdany; Handy Prayogo
      Pages: 290 - 304
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Doddy Prayogo, Min-Yuan Cheng, Yu-Wei Wu, Albertus Arief Herdany, Handy Prayogo
      The present study proposes the Differential Big Bang - Big Crunch (DBB-BC) algorithm. This new hybrid metaheuristic is designed to enhance the performance of the Big Bang-Big Crunch (BB-BC) algorithm. DBB-BC uses collaborative-combination hybridization to combine the BB-BC algorithm, Differential Evolution algorithm, and Neighborhood Search in order to improve the exploration and exploitation capabilities of the original BB-BC in finding global solutions. Subsequently, a number of unconstrained mathematical benchmark problems and seven practical design problems from the construction-engineering field are used to investigate the effectiveness and efficiency of DBB-BC. The results of this investigation confirm that the DBB-BC performs significantly better than the other algorithms that were tested in terms of optimal solution (efficacy) and required function evaluations (efficiency).

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.019
      Issue No: Vol. 85 (2017)
       
  • Integrating mobile Building Information Modelling and Augmented Reality
           systems: An experimental study
    • Authors: Michael Chu; Jane Matthews; Peter E.D. Love
      Pages: 305 - 316
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Michael Chu, Jane Matthews, Peter E.D. Love
      The benefits of Building Information Modelling (BIM) have typically been tied to its capability to support information structuring and exchange through the centralization of information. Its increasing adoption and the associated ease of data acquisition has created information intensive work environments, which can result in information overload and thus negatively impact workers task efficiency during construction. Augmented Reality (AR) has been proposed as a mechanism to enhance the process of information extraction from building information models to improve the efficiency and effectiveness of workers' tasks. Yet, there is limited research that has evaluated the effectiveness and usability of AR in this domain. This research aims to address this gap and evaluate the effectiveness of BIM and AR system integration to enhance task efficiency through improving the information retrieval process during construction. To achieve this, a design science research approach was adopted that enabled the development and performance of a mobile BIM AR system (artefact) with cloud-based storage capabilities to be tested and evaluated using a portable desktop experiment. A total of 20 participants compared existing manual information retrieval methods (control group), with information retrieval through the artefact (non-control group). The results revealed that the participants using the artefact were approximately 50% faster in completing their experiment tasks, and committed less errors, when compared to the control group. This research demonstrates that a minor modification to existing information formats (2D plans) with the inclusion of Quick Response markers can significantly improve the information retrieval process and that BIM and AR integration has the potential to enhance task efficiency.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.032
      Issue No: Vol. 85 (2017)
       
  • Activity theory-based analysis of BIM implementation in building
           O&M and first response
    • Authors: Qiuchen Lu; Long Chen; Sanghoon Lee; Xiaojing Zhao
      Pages: 317 - 332
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Qiuchen Lu, Long Chen, Sanghoon Lee, Xiaojing Zhao
      The construction industry has worked towards embracing Building Information Model (BIM) innovations for improving the efficiency, accuracy and reliability nowadays. However, the implementation of BIM in building Operations & Maintenance (O&M) is still limited. Previous research only focused on identifying influential factors for the promotion of BIM use in building O&M without considering the systematic manner and the dynamic nature of technology evolution process. This study thus aims to establish an analytical activity system model (ASM) using the activity theory to analyze the BIM use in building O&M in a systematic and dynamic way. The ASMs (traditional and evolutionary) of two different statuses (i.e., without and with BIM-assisted O&M) and the corresponding evolution processes were established based on the critical process models with actors and activities identified in the 1st round interviews with 14 experts. Then, the contradictions as the drivers of evolution in the ASM from the traditional one to the evolutionary BIM-assisted O&M have been examined based on the 2nd round interviews involving the 14 experts and 32 questionnaire surveys. An ASM based driver model of evolution for the BIM-assisted O&M is finally constructed. 26 innovation-oriented internal drivers and six demand-oriented external drivers have been identified, and 21 recommended actions, with the context of social, political and technical influences, have been proposed correspondingly to enhance the identified drivers to achieve BIM-assisted O&M. These results provide a map for O&M practitioners, policy makers and researchers to promote the implementation of BIM in O&M, and are beneficial to the delivery of BIM in building O&M.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.017
      Issue No: Vol. 85 (2017)
       
  • Direct chiller power limiting for peak demand limiting control in
           buildings—Methodology and on-site validation
    • Authors: Kui Shan; Shengwei Wang; Rui Tang
      Pages: 333 - 343
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Kui Shan, Shengwei Wang, Rui Tang
      Large electricity consumers are often charged of a high price for their peak demand for the purpose of reducing the capacity and cost, as well as the operation reliability of electricity transmission facilities. As a result, even one spike in the monthly demand profile would result in a significant increase in electricity bill. Peak demand limiting techniques provide an effective and efficient means to reduce such cost. For instance, the methods to utilize cooling/heating stored in building thermal mass by resetting space air temperature set-point have been proofed effective in many studies. This study proposes a direct chiller power limiting control strategy for peak demand limiting control in buildings, particularly during the period of chiller starting when the peak demand occurs mostly. Validation tests were conducted on-site in a super high rise building and on a dynamic simulation platform. Results showed the strategy was effective in reducing the peak demand during chiller starting periods.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.10.029
      Issue No: Vol. 85 (2017)
       
  • Structural health monitoring of steel frames using a network of
           self-powered strain and acceleration sensors: A numerical study
    • Authors: Hassene Hasni; Pengcheng Jiao; Amir H. Alavi; Nizar Lajnef; Sami F. Masri
      Pages: 344 - 357
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Hassene Hasni, Pengcheng Jiao, Amir H. Alavi, Nizar Lajnef, Sami F. Masri
      This study presents a novel approach to detect damage in steel frames using a hybrid network of piezoelectric strain and acceleration sensors. A numerical study has been conducted on a steel frame with bolted connections to verify the accuracy of the proposed method. The damage is introduced to the frame structure by loosening the bolts and creating cracks on its structural members. The frame is subjected to cyclic loading. Circular Lead Zirconate Titanate (PZT) piezoelectric transducers and bimorph PZT cantilever plates are used as strain and acceleration sensors, respectively. The strain and acceleration time histories are obtained from the finite element (FE) model. A theoretical model is used to obtain the voltage output delivered by the PZTs. Initial damage indicator features are defined by fitting a Gaussian mixture model (GMM) to the sensors output histograms. Moreover, a new sensor fusion model is proposed to improve the accuracy of the damage detection approach. The numerical results indicate that strain-based sensors and accelerometers are, respectively, more sensitive to cracks and bolt loosening. The hybrid system of sensors is efficient in detecting and localizing both types of damages in steel frames.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.10.022
      Issue No: Vol. 85 (2017)
       
  • Determining bid markup and resources allocated to cost estimation in
           competitive bidding
    • Authors: Yuichi Takano; Nobuaki Ishii; Masaaki Muraki
      Pages: 358 - 368
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Yuichi Takano, Nobuaki Ishii, Masaaki Muraki
      To win a project contract through competitive bidding, contractors submit a bid price that is determined by putting a markup on the estimated project cost. The success of the bid is therefore heavily dependent on the accuracy of that estimate, meaning that sufficient resources should be allocated to the estimation process. This paper develops a novel optimization model for simultaneously determining the bid markup and the resources that should be allocated to cost estimation. We begin by deriving optimality conditions for this simultaneous optimization model and illustrating them with numerical examples, for which purpose only we assume a single competitor and uniformly distributed estimation errors. To analyze a more realistic situation, we then examine computational solutions to our model. Through these two approaches, we investigate the effects of the bid-markup decision and resource allocation on the contractor's expected profit, and we highlight the significance in competitive bidding of the markup and allocation.

      PubDate: 2017-11-09T05:24:30Z
      DOI: 10.1016/j.autcon.2017.06.007
      Issue No: Vol. 85 (2017)
       
  • Integrated production planning and control system for a panelized home
           prefabrication facility using simulation and RFID
    • Authors: Mohammed Sadiq Altaf; Ahmed Bouferguene; Hexu Liu; Mohamed Al-Hussein; Haitao Yu
      Pages: 369 - 383
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Mohammed Sadiq Altaf, Ahmed Bouferguene, Hexu Liu, Mohamed Al-Hussein, Haitao Yu
      The construction industry is adopting off-site construction for its superior quality, short cycle time, and minimal environmental impact. Among the different off-site construction methods, panelized construction follows a manufacturing approach where houses are built in smaller panels in an assembly line. Due to the complex and unique nature of the home building process, existing manufacturing concepts such as automated production planning and control system are not applicable to the panelized home production facility. This paper utilizes radio frequency identification (RFID) technology, data mining, and simulation-based optimization to develop a production planning and control system for a panelized home production facility. The RFID system is used to automatically collect the production data; however, the RFID data in this study contains considerable noise. Thus, it is crucial to extract the relevant data from the raw data. A RANSAC model is developed for this purpose to automatically clean the RFID data and then use it to build the simulation model, which is then integrated with an optimization algorithm to generate the production schedule and real-time performance monitoring. The proposed framework cleans the noisy RFID data to extract records that represent a steady flow of assembly line. These clean records are then used to build PDFs that are required to develop discrete event simulation model that can help managers to capture an almost real-time snapshot of the production of the assembly line as well as automatically optimize the production schedule. The proposed system is implemented and validated in a panelized wall production facility operated by ACQBUILT Inc., a prefabricated home builder in Edmonton, Canada.

      PubDate: 2017-11-16T10:57:40Z
      DOI: 10.1016/j.autcon.2017.09.009
      Issue No: Vol. 85 (2017)
       
  • Heuristic algorithm for ready-mixed concrete plant scheduling with
           multiple mixers
    • Authors: Zhenyuan Liu; Yakun Zhang; Minghui Yu; Xiaolu Zhou
      Pages: 1 - 13
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Zhenyuan Liu, Yakun Zhang, Minghui Yu, Xiaolu Zhou
      In this study, the problem of integration of ready-mixed concrete (RMC) production scheduling and truck and pump dispatching in an RMC plant with multiple mixers is focused upon. A time-space network model, which combines RMC production and vehicle dispatching, is proposed. A heuristic algorithm with eight sets of conjoint priority rules for production scheduling, truck and pump dispatching, and mixer scheduling is developed to solve the problem. Computational experiments are conducted on actual cases collected from an RMC company; these cases are classified into four types based on the quantity of orders from construction sites and the discrete degree of construction sites. The advantages and disadvantages of adopting various conjoint-rules in the various types of cases are determined. The experimental results demonstrate that this heuristic solution is capable of enabling managers of RMC plants to develop more suitable schedules in various types of practical cases.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.013
      Issue No: Vol. 84 (2017)
       
  • BIM integrated smart monitoring technique for building fire prevention and
           disaster relief
    • Authors: Min-Yuan Cheng; Kuan-Chang Chiu; Yo-Ming Hsieh; I-Tung Yang; Jui-Sheng Chou; Yu-Wei Wu
      Pages: 14 - 30
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Min-Yuan Cheng, Kuan-Chang Chiu, Yo-Ming Hsieh, I-Tung Yang, Jui-Sheng Chou, Yu-Wei Wu
      Modern high-rise buildings may be configured into spaces of widely varying specifications. This situation creates a diverse building environment with multiple variables that make fire hazards difficult to predict and monitor accurately. Therefore, developing and implementing an integrated fire disaster prevention system is necessary in order to effectively prevent fire disasters and adequately protect life and property. In Taiwan, the response to an organization of fire prevention and disaster relief as well as evacuation planning and rescue guidance continue to rely primarily on human-provided intelligence. This method makes disaster-response decision-making inherently prone to error due to the inaccuracy, incompleteness, and poor communication of this intelligence. However, Building Information Modeling (BIM) and wireless sensor networks have been widely discussed in many aspects of building disaster-prevention management as approaches to increasing the accuracy and effectiveness of disaster-response decision-making. The present study uses BIM to construct a BIM-based Intelligent Fire Prevention and Disaster Relief System. This system integrates information on personal localization, on evacuation/rescue route optimization with Bluetooth-based technology, and on a mobile guidance device to create an intelligent and two-way fire disaster prevention system framework that displays the real-time and dynamic fire information in three dimensions (3D). The results of applying the BIM-based system demonstrate that it may effectively provide 3D visualization to support the assessment and planning of fire safety, to provide early detection and alarm responses, to direct efficient evacuation, and to facilitate fire rescue and control efforts in order to increase overall building safety and disaster-response capabilities.
      Graphical abstract image

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.027
      Issue No: Vol. 84 (2017)
       
  • What drives construction workers' acceptance of wearable technologies in
           the workplace': Indoor localization and wearable health devices for
           occupational safety and health
    • Authors: Byungjoo Choi; Sungjoo Hwang; SangHyun Lee
      Pages: 31 - 41
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Byungjoo Choi, Sungjoo Hwang, SangHyun Lee
      The use of wearable sensing devices (e.g., GPS and physiological sensors) can open a new door toward occupational safety and health management in physically demanding and hazardous construction (e.g., tracking worker's locations in dangerous working area and monitoring of worker's physiological status). These potential benefits cannot be achieved, however, if construction workers do not recognize the value of wearable devices as well as the details of their usage. This study thus investigates determinants for workers' adoption of wearable technology in the occupational work context. Specifically, the scope of this study is to test hypotheses regarding workers' intention to adopt two representative wearable devices for occupational safety and health, a smart vest with an embedded indoor GPS for location tracking, and a wristband-type wearable activity tracker (i.e., wristband) with physiological sensors. The research results indicate that perceived usefulness (PU), social influence (SI), and perceived privacy risk (PR) are associated with workers' intention to adopt (IA) both smart vest and wristband. Also, workers' experiences using wearable devices positively moderates the association between PU and IA of smart vest and negatively moderates the association between SI and IA of smart vest. In the work context, foremen are more likely to be influenced by PU than workers with regard to using a wristband. By considering the different functions, benefits, and challenges of each device, and by taking into account individual and job characteristics, the results of this study provide crucial insight into the process of motivating workers to adopt each device in their work, which can promote the continued and appropriate use of wearable technology in occupational safety and health management.
      Graphical abstract image

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.005
      Issue No: Vol. 84 (2017)
       
  • Evaluating wheel loader operating conditions based on radar chart
    • Authors: Shaojie W.A.N.G.; Liang H.O.U.; Jay Lee; Xiangjian B.U.
      Pages: 42 - 49
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Shaojie W.A.N.G., Liang H.O.U., Jay Lee, Xiangjian B.U.
      The evaluation of the difficulty level of operating conditions is one of the key problems in intelligent management of the wheel loader engine power. This paper presents a method for evaluating the difficulty level of wheel loader operating conditions based on radar chart. Firstly, we analyze the characteristics of the wheel loader operation spectrum, and determine the boom head cylinder pressure as the analysis object. Then, based on the analysis object we establish the characteristic indexes that can express the operating conditions and determine eigenvalues of the characteristic indexes with clustering analysis algorithms. Lastly, we draw the eigenvalues on the radar chart, and extract the area enclosed by the eigenvalues to compare with the area of the radar chart. The ratio of enclosed area of radar chart is defined as the difficulty level of operating conditions. This method is validated under various industrial conditions (i.e. four types of operating conditions, three power modes and three drivers manipulating the wheel loader). The results indicate that the proposed method to evaluate the difficulty level can accurately quantify the real operating conditions, and is a useful tool for management of engine power modes according to the quantified operating conditions.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.020
      Issue No: Vol. 84 (2017)
       
  • Project collective mind: Unlocking project discussion networks
    • Authors: Mazdak Nik-Bakht; Tamer El-Diraby
      Pages: 50 - 69
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Mazdak Nik-Bakht, Tamer El-Diraby
      A project discussion network is a space where project stakeholders form relationships among each other and share information about the project. Virtual discussion networks may refer to networks of e-mails, document exchange and social media (such as Twitter, Facebook, YouTube, etc.). As such, both social linkages and semantics of the exchanged content must be considered in analysis of such networks. The proposed framework in this study aims to analyze both the social and semantic aspects of these networks. We developed the framework through analysis of the social networks formed around Twitter accounts of infrastructure megaprojects. To assure relevance to construction research and practices, three objectives guided our analysis: relaying on a large and diversified data corpus from construction projects; testing the applicability and usage of a set of relevant algorithms to the context of construction project management; and linking the results of data analysis and algorithm evaluation to the conditions of construction projects at hand. In examining algorithms for detecting sub-communities, the Louvain fast unfolding modularity maximization was more suitable in detecting project relevant sub-groups. For assessing the relative influence of actors, PageRank algorithm performed better than centrality measures. For extracting key terms, we found that modifying the term frequency-inverse document frequency (TF-IDF) measure to incorporate the relative importance of the source nodes enhances the relevance of extracted terms. Obliviously, Twitter networks are only one type of project networks that can cover a limited/biased sample of participants. Their analysis should be one component of the overall project network analysis. We believe that the proposed framework has the same level of applicability to internal networks of project teams as well as non-Twitter networks.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.026
      Issue No: Vol. 84 (2017)
       
  • UAV-based automatic generation of high-resolution panorama at a
           construction site with a focus on preprocessing for image stitching
    • Authors: Seongdeok Bang; Hongjo Kim; Hyoungkwan Kim
      Pages: 70 - 80
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Seongdeok Bang, Hongjo Kim, Hyoungkwan Kim
      As construction sites increase in size, it becomes more difficult for a manager to understand the status of the site on time. However, with the development of unmanned aerial vehicles (UAVs), it is possible to collect a large amount of visual data of the construction site in a short time. Using this data, a large-scale construction site can be monitored in a timely and frequent manner with computer vision technologies. This paper proposes a method to generate a panorama of a construction site by using an image stitching technique with a focus on preprocessing. To create high-quality panoramas, blurred frames of videos are filtered out, key frames are selected, and camera lens distortion is corrected. The proposed method produced a high-quality panorama of a construction site, which was evaluated by comparing it with an aerial photograph and the panorama produced by the existing image stitching technique. The proposed method is expected to help managers to easily identify various construction site conditions with the help of high-quality image data.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.031
      Issue No: Vol. 84 (2017)
       
  • Weather-wise: A weather-aware planning tool for improving construction
           productivity and dealing with claims
    • Authors: Pablo Ballesteros-Pérez; Yonatan Alexis Rojas-Céspedes; Will Hughes; Shabnam Kabiri; Eugenio Pellicer; Daniel Mora-Melià; Maria Luisa del Campo-Hitschfeld
      Pages: 81 - 95
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Pablo Ballesteros-Pérez, Yonatan Alexis Rojas-Céspedes, Will Hughes, Shabnam Kabiri, Eugenio Pellicer, Daniel Mora-Melià, Maria Luisa del Campo-Hitschfeld
      The influence of unforeseen, extreme weather in construction works usually impacts productivity, causes significant project delays and constitutes a frequent source of contractor's claims. However, construction practitioners cannot count on sound methods for mediating when weather-related claims arise, nor harnessing the influence of weather variability in construction projects. Building on the few most recent quantitative studies identifying those key weather agents and levels of intensity that affect some standard building construction activities, a new stochastic model that processes and replicates the spatio-temporal variability of combined weather variables is proposed. This model can help anticipate weather-related project duration variability; improving construction productivity by selecting the best project start date; and objectively evaluating weather-related claims. A two-building construction case study using different Spanish locations is used to demonstrate the model. The results showed that ignoring the influence of weather can lead to an extension of 5–20% longer project duration compared to planned.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.022
      Issue No: Vol. 84 (2017)
       
  • An IFC-inspection process model for infrastructure projects: Enabling
           real-time quality monitoring and control
    • Authors: Lieyun Ding; Kaiman Li; Ying Zhou; Peter E.D. Love
      Pages: 96 - 110
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Lieyun Ding, Kaiman Li, Ying Zhou, Peter E.D. Love
      Comprehensive and timely inspection of quality issues is critical for reducing rework and delays in infrastructure projects. Enabling a real-time quality checking guidance system to be used in practice requires formal data exchange methods and inspection process control. This, however, remains an on-going challenge, as information is often expressed in different data representations and stored in disparate locations and formats. There have been a limited number of studies that have examined the relationship among physical objects, schedule, and quality management information related to the process of inspection as well as the difficulties associated with enabling real-time monitoring and control of quality. In addressing this issue, a design science research approach is used to develop and apply an Industrial Foundation Classes-based Inspection Process Model (IFC-IPM) to enable information exchange requirements for quality-related information to occur in real-time during construction. Within the IFC-IPM schema and extension that is developed, a physical, schedule, and quality management model exist. The IFC-IPM extension defines the dynamic property sets that form part of quality management system. The dynamic property set of the schedule can identify inspection codes, time, and its content. This provides inspectors with the ability to undertake real-time quality monitoring and control. The IFC-IPM that is developed is applied to a real-life subway infrastructure project. It is demonstrated that the developed IFC-IPM provides an effective platform for data sharing and exchange of quality related information and other IFC-compliant applications. The model can be used to streamline the quality management process as it reduces the time to attend to undertake rework and increases the accuracy and timeliness of inspections and the acceptance of activities and products.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.029
      Issue No: Vol. 84 (2017)
       
  • Improving dynamic proximity sensing and processing for smart work-zone
           safety
    • Authors: JeeWoong Park; Xiaoyu Yang; Yong K. Cho; Jongwon Seo
      Pages: 111 - 120
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): JeeWoong Park, Xiaoyu Yang, Yong K. Cho, Jongwon Seo
      Equipment/vehicles striking workers is one of the most frequent accidents that occur in roadway workzones. As a means of prevention, a number of active technologies have been developed to provide proximity sensing and alerts for workers and equipment operators. However, most of these systems are based on the distance/proximity level between workers and equipment and neglect the variations caused by different settings and environmental conditions, such as equipment types and approaching speeds, which can result in inconsistency and delay of the systems. As of yet, previous research has insufficiently investigated these issues. This research addresses the issues by utilizing the Bluetooth Low Energy (BLE)-based proximity sensing and alert system developed by the authors. This paper discusses the development and assessment of parameter adjustment and adaptive signal processing (ASP) methods. The research conducted field trials in various dynamic conditions and settings to assess the performance of the system. The test results showed that the parameter adjustment function reduced the inconsistency of the alert distances resulting from different types of equipment, and that the ASP method reduced the time delay resulting from high approaching speeds. The developed proximity safety alerts system provides stakeholders with better understanding of dynamic spatial relationships among equipment, operator, workers, and a surrounding work environment; thus, improving construction work zone safety.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.025
      Issue No: Vol. 84 (2017)
       
  • Inside Front Cover: Editorial Board
    • Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85


      PubDate: 2017-11-16T10:57:40Z
       
  • Inside Front Cover: Editorial Board
    • Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84


      PubDate: 2017-10-18T05:16:56Z
       
  • Pull-off adhesion prediction of variable thick overlay to the substrate
    • Authors: Sadowski Jerzy; Czarnecki Dianhui Wang
      Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85
      Author(s): Łukasz Sadowski, Jerzy Hoła, Sławomir Czarnecki, Dianhui Wang
      Non-destructive identification of the pull-off adhesion of a concrete substrate to an overlay mortar with variable thickness using artificial neural networks (ANNs) is studied in this paper. Selected ANNs with various training algorithms were tested on the basis of the parameter which describes the thickness of the overlay and also the parameters specified experimentally using non-destructive testing (NDT) methods. Real world data collected from experiments of pull-off adhesion were used for building our learner models. The tests were carried out in the same place where tests using NDT methods were performed. Three variant analyses of the possibility of such identification were conducted. The variance was calculated for these testing methods and parameters obtained with their usage, without considering the parameter that describes the thickness of the overlay in this work.

      PubDate: 2017-10-11T09:15:01Z
       
 
 
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