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  Subjects -> COMPUTER SCIENCE (Total: 2007 journals)
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COMPUTER SCIENCE (1169 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: 14)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 24)
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: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 6)
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: 4)
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: 10)
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: 15)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Advances in Engineering Software     Hybrid Journal   (Followers: 26)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 11)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 26)
Advances in Human-Computer Interaction     Open Access   (Followers: 21)
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: 40)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 4)
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: 5)
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: 8)
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: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 13)
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: 2)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 15)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
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: 7)
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: 9)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 300)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 14)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 18)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 34)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 45)
British Journal of Educational Technology     Hybrid Journal   (Followers: 132)
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)
Capturing Intelligence     Full-text available via subscription  
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 1)
Cell Communication and Signaling     Open Access   (Followers: 2)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access   (Followers: 1)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 14)
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: 11)
Circuits and Systems     Open Access   (Followers: 15)
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: 14)
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: 55)
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   (Followers: 1)
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: 11)
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: 15)
Computational Linguistics     Open Access   (Followers: 22)
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: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 30)
Computer     Full-text available via subscription   (Followers: 89)
Computer Aided Surgery     Hybrid Journal   (Followers: 5)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 9)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 12)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 2)
Computer Music Journal     Hybrid Journal   (Followers: 18)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 8)
Computer Science and Engineering     Open Access   (Followers: 19)
Computer Science and Information Technology     Open Access   (Followers: 13)
Computer Science Education     Hybrid Journal   (Followers: 14)
Computer Science Journal     Open Access   (Followers: 21)

        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  [3118 journals]
  • Integration of parametric design into modular coordination: A construction
           waste reduction workflow
    • Authors: Saeed Banihashemi; Amir Tabadkani; M. Reza Hosseini
      Pages: 1 - 12
      Abstract: Publication date: April 2018
      Source:Automation in Construction, Volume 88
      Author(s): Saeed Banihashemi, Amir Tabadkani, M. Reza Hosseini
      The construction industry is under pressure as to reduce the sizable quantities of construction waste generated during construction operations. Modular coordination (MC) and parametric design both have great potentials in reducing waste at the design stage. And anecdotal evidence suggests that great volumes of waste can be reduced through integration of parametric design into MC. The issue of proposing workflows in this context, however, is under-researched, and practical applications, if any, are at the rhetorical stage. To accomplish this, an integration attempt is made in this study to provide the details of a developed-and-experimented workflow for this purpose; a generative algorithm is developed through the Rhinoceros 3D–Grasshopper platform, subject to MC rules. Two sets of horizontal and vertical modules are obtained from a prototype model, while an evolutionary solver function is applied in reducing the generated construction waste volume. According to a pre-defined standard specification, different modular design variants that fully conform to the design constraints in modules array are developed, providing an operational workflow in construction waste reduction at the design stage. Introducing this workflow, and how the proposed workflow reduces the volume of post-optimization paneling waste by 2% at its minimum are the major findings here. The insights derived from this study, would promote the interest of both the construction practitioners and researchers; the practicality of integrating parametric design into MC is proven.

      PubDate: 2017-12-26T18:22:06Z
      DOI: 10.1016/j.autcon.2017.12.026
      Issue No: Vol. 88 (2017)
       
  • A GBMO-based PIλDμ controller for vibration mitigation of
           seismic-excited structures
    • Authors: Sadegh Etedali; Abbas-Ali Zamani; Saeed Tavakoli
      Pages: 1 - 12
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): Sadegh Etedali, Abbas-Ali Zamani, Saeed Tavakoli
      The advantages of fractional-order proportional–integral–derivative (FOPID) controllers in terms of flexibility, robustness against model uncertainties and good disturbance rejection, are good motivations to use them for vibration mitigation of seismic-excited structures. The application of the FOPID controller for adjusting the control force of an active tuned mass damper (ATMD) for seismic control a building is studied in this paper. Gases Brownian motion optimization (GBMO) algorithm is employed for optimal tuning of parameters of the FOPID and PID controllers. Evaluation of the frequency responses of the structure for uncontrolled and controlled cases shows that PID and FOPID controllers are very effective for the seismic control of structures. For further investigation, the performance of the FOPID controller in the reduction of seismic responses of the building in four well-known earthquake excitations is compared with those provided by the PID, linear–quadratic regulator (LQR) and fuzzy logic control (FLC). Simulation results show that the PID and LQR controllers provide the same performance in reducing the maximum top floor displacement of the structure. Moreover, the FLC and FOPID controllers demonstrate a superior performance in seismic control of the structure. The FLC is able to reduce the maximum displacements of all stories for all studied earthquakes. However, the proposed FOPID controller is able to provide a better performance in comparison with the FLC. In average, the FOPID controller mitigates the seismic responses of the structure as much as 29%, 27% and 15% better than the LQR, PID controller and FLC.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.12.005
      Issue No: Vol. 87 (2017)
       
  • Design-by-analogy: A characteristic tree method for geotechnical
           engineering
    • Authors: ZhiJia You; HouLi Fu; Jian Shi
      Pages: 13 - 21
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): ZhiJia You, HouLi Fu, Jian Shi
      Geotechnical engineers frequently use design-by-analogy methods to promote innovative design solutions, or reuse existing design schemes. However, this approach has not yet provided a means for comparing various potential project solutions quantitatively. Moreover, while geotechnical engineering has accumulated data in large quantities, the value of this historical data has not been exploited fully for the identification of useful analogies. To address these challenges, we proposed the characteristic tree analogy method and a key algorithm for calculating the similarity index between objects. On this basis, we developed a decision support system that makes comprehensive use of geotechnical engineering historical data. We applied the system successfully to the roadway support design for Liangjia coal mine. The results verified the applicability of the characteristic tree analogy method for realizing geotechnical engineering designs, making maximum use of historical data. This approach can be extended to other areas of geotechnical engineering that have large quantities historical data.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.12.008
      Issue No: Vol. 87 (2017)
       
  • Planning and developing facility management-enabled building information
           model (FM-enabled BIM)
    • Authors: Pardis Pishdad-Bozorgi; Xinghua Gao; Charles Eastman; Alonzo Patrick Self
      Pages: 22 - 38
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): Pardis Pishdad-Bozorgi, Xinghua Gao, Charles Eastman, Alonzo Patrick Self
      Successful implementation of FM-enabled BIM can be achieved with 1) a clear definition of what FM-enabled BIM constitutes, 2) a seamless and practical process of collecting the FM-enabled BIM data throughout project development phases, and 3) a well-executed interoperability plan for exchanging data between BIM tools and facility management systems, such as Computerized Maintenance Management System (CMMS). This research contributes to the body of knowledge by first defining, and examining one of the first few pilots implementation of FM-enabled BIM, and discussing the challenges encountered and the lessons learned, and then by proposing a research framework for future researchers to systematically and strategically build the knowledge foundation on BIM for FM field. The implementation process described and the lessons learned captured in this pilot project provide valuable insights into the successful implementation of FM-enabled BIM.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.12.004
      Issue No: Vol. 87 (2017)
       
  • A simple method for combining fire and structural models and its
           application to fire safety evaluation
    • Authors: Shicai Chen; Yong Zhang; Aizhu Ren
      Pages: 39 - 48
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): Shicai Chen, Yong Zhang, Aizhu Ren
      To consider the actual fire characteristics in the fire response analysis of building structures and to simplify the complex relationship between the fire analysis model and the structural finite element analysis model, a spatio-temporal model of the fire temperature and heat flux boundary for heat conduction analysis is developed. The proposed model adopts a two-way orthogonal polynomial approach for fitting the discrete data from the fire simulation and obtains continuous spatial polynomial equations. It is shown to be accurate for capturing the distributions of temperature and heat flux that are required for a heat conduction analysis and a thermal mechanical coupling analysis. Finally, the model is implemented through user-subroutines UTEMP and DFLUX in ABAQUS, and it is applied to a new archive in Beijing. The results show that this method may be used to combine fire simulation and structural analysis for the safety evaluation of structures under fire.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.12.015
      Issue No: Vol. 87 (2017)
       
  • Development and application of a wireless MEMS-based borehole inclinometer
           for automated measurement of ground movement
    • Authors: Dae Woong Ha; Jong Moon Kim; Yousok Kim; Hyo Seon Park
      Pages: 49 - 59
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): Dae Woong Ha, Jong Moon Kim, Yousok Kim, Hyo Seon Park
      Generally, the excavation work performed to lay the foundation and create the underground space of structures causes deformation of the surrounding ground. Such deformations could threaten the lives of residents and the safety of structures. Consequently, borehole inclinometers have been used to monitor these deformations. The typically used underground inclinometers have the disadvantages of lack of durability, difficulties in measuring local inclination because of a relatively long inclinometer, loss of data due to long connecting cables, and electromagnetic interference. To overcome these disadvantages, in the present study, a wireless MEMS-based borehole inclinometer system composed of a tilt sensor module, processor module, and slave and master nodes was developed. The developed borehole inclinometer system was configured by a two tier sensor to minimize its diameter. Its field applicability was improved by minimizing the cables between the sensor and the server through the application of a long range wireless module between the computer server and master node and a short range wireless communication between the master node and sensor node. A field test was conducted to verify the applicability and data reliability of the developed wireless MEMS-based borehole inclinometer. The reliability of the proposed system has been proved by the analysis of data collected for two months at two different construction sites.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.12.011
      Issue No: Vol. 87 (2017)
       
  • Optimal cut-fill pairing and sequencing method in earthwork operation
    • Authors: Han-Seong Gwak; Jongwon Seo; Dong-Eun Lee
      Pages: 60 - 73
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): Han-Seong Gwak, Jongwon Seo, Dong-Eun Lee
      Earthwork operations consist of repeated cycles of excavating, moving, and backfilling processes, in which rock-earth block is excavated from its cut pit, moved to a fill pit, and then backfilled into its corresponding fill prism. An efficient earth allocation plan reduces the total earthwork cost. This paper presents a computational method called Optimal cut-fill Pairing and Sequencing (OPS) which identifies the most economical EAP. It identifies the optimal cut-fill pairs and their sequence which minimizes the total earthwork cost by hybridizing the mixed integer linear programming (MILP) and evolutionary algorithm (i.e., harmony search). The proposed method is of value to earthwork managers because it identifies the most favorable EAP by accounting for the rock-earth type of each and every prism, the series of prisms occupying each and every cut and fill pits, and the moving directions (i.e., the order of cut-fill prism pairs), expeditiously. This study is also of relevance to researchers because it provides a white box which defines the mathematical formula and computational procedures to identify the global solution in detail. Two test cases confirm the usability and validity of the computational method.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.12.010
      Issue No: Vol. 87 (2017)
       
  • A direct load control strategy of centralized air-conditioning systems for
           building fast demand response to urgent requests of smart grids
    • Authors: Rui Tang; Shengwei Wang; Chengchu Yan
      Pages: 74 - 83
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): Rui Tang, Shengwei Wang, Chengchu Yan
      When receiving an urgent request from a smart grid, shutting down part of operating chillers directly in the air-conditioning system in a building can achieve immediate power reduction. However, no study has addressed how to determine the number of chillers/pumps to be shut down and how to regulate the load of retained equipment systematically during DR events. This paper presents a new approach to address these issues based on three schemes. A power demand optimization scheme predicts the building cooling demand and the power limiting threshold in response to a received DR request. A system sequence control resetting scheme determines the number of operating chillers/pumps to be retained. An online control/regulation scheme ensures the system power following the expected profile by regulating the total chilled water flow delivered to the building and therefore the chiller load. It also employs a cooling distributor to distribute chilled water to individual zones concerning different sensitivities/sacrifices to temperature increases. Case studies are conducted on a simulated dynamic building air-conditioning system. Results show that, during DR events, the proposed strategy can achieve the expected power reduction (i.e., about 23%) and also maintain acceptable zone temperature even though uncertainties exist in the prediction process.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.12.012
      Issue No: Vol. 87 (2017)
       
  • Stochastic Petri net-based modelling of the durability of renderings
    • Authors: C. Ferreira; L. Canhoto Neves; A. Silva; J. de Brito
      Pages: 96 - 105
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): C. Ferreira, L. Canhoto Neves, A. Silva, J. de Brito
      In this study, a methodology to model and predict the life-cycle performance of building façades based on Stochastic Petri Nets is proposed. The proposed model evaluates the performance of rendered façades over time, evaluating the uncertainty of the future performance of these coatings. The performance of rendered façades is evaluated based on a discrete qualitative scale composed of five condition levels, established according to the physical and visual degradation of these elements. In this study, the deterioration is modelled considering that the transition times between these condition states can be modelled as a random variable with different distributions. For that purpose, a Stochastic Petri Nets model is used, as a formal framework to describe this problem. The model's validation is based on probabilistic indicators of performance, computed using Monte-Carlo simulation and the probability distribution parameters leading to better fit are defined as those maximizing the likelihood, computed using Genetic Algorithm. In this study, a sample of 99 rendered façades, located in Portugal, is analysed, and the degradation condition of each case study is evaluated through in-situ visual inspections. The model proposed allows evaluating: i) the transition rate between degradation conditions; ii) the probability of belonging to a given degradation condition over time; and iii) the mean time of permanence in each degradation condition. The use of Petri Nets shows to be more accurate than a more traditional approach based on Markov Chains, but also allows developing future research to consider different environmental conditions, maintenance actions or inspections, amongst other aspects of life-cycle analysis of existing assets.

      PubDate: 2017-12-26T18:22:06Z
      DOI: 10.1016/j.autcon.2017.12.007
      Issue No: Vol. 87 (2017)
       
  • An approach to combining related notifications in large-scale building
           management systems with a rehabilitation facility case study
    • Authors: Yulia Evchina; Jose Luis Martinez Lastra
      Pages: 106 - 116
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): Yulia Evchina, Jose Luis Martinez Lastra
      ICT advances have enabled the incorporation of multiple devices that monitor various aspects of the environment into building management (BM) systems. The data from these devices is used to detect multiple abnormal situations, which require the awareness of system users and/or timely response. However, the number of abnormal situations is usually large, and delivering all of the associated notifications is overwhelming for users, rather than helping them to interpret the ongoing status of the environment. This work proposes a novel approach for combining ongoing notifications in the monitoring systems by their types, priorities, locations, and receivers. The approach is based on formal classification of possible alarms and runtime analysis of ongoing notifications with the aim of reducing repeating information pieces delivered as part of multiple notifications. The paper provides details of combination principles of notifications and applies them to real data from a rehabilitation facility. The results show a reduction in the users' information load of approximately 42% of the peak number of ongoing notifications. It is expected that the proposed approach will improve situation awareness in the managed facilities – enabling better and faster decisions on the ongoing status of the environment.

      PubDate: 2017-12-26T18:22:06Z
      DOI: 10.1016/j.autcon.2017.12.020
      Issue No: Vol. 87 (2017)
       
  • 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)
       
  • Eco-economic excavator configuration method
    • Authors: Hong-Chul Lee; Han-Seong Gwak; Jongwon Seo; Dong-Eun Lee
      Pages: 138 - 149
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Hong-Chul Lee, Han-Seong Gwak, Jongwon Seo, Dong-Eun Lee
      Excavating processes performed frequently in building, civil and infrastructure projects are critical and costly. To define a cost-effective excavator configuration, an earthwork planner depends mostly on experience and intuition. This intuitive reasoning is often error-prone, and highly experience based. This paper presents a computational method called the Eco-Economic Excavator Configuration (E3C), which selects the most favorable configuration of a heavy duty excavator according to the earthwork package and its job conditions. E3C obtains the input data from external databases, derives the formulae involved in computing the process performance (e.g., production rate, process completion time, and profit), and instructs the earthwork manager in the best-fit excavator configuration (e.g., maximum digging depth, engine size in HP, and bucket size) for profitable operation by considering the implicit constraints and conditions exhaustively. The method identifies the best-fit PDFs of the process completion time and that of the total profit, given an excavator configuration. A test case, which was performed at a building basement excavating project, confirmed the usability and validity of the method.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.11.006
      Issue No: Vol. 86 (2017)
       
  • A critical review of virtual and augmented reality (VR/AR) applications in
           construction safety
    • Authors: Xiao Li; Wen Yi; Hung-Lin Chi; Xiangyu Wang; Albert P.C. Chan
      Pages: 150 - 162
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Xiao Li, Wen Yi, Hung-Lin Chi, Xiangyu Wang, Albert P.C. Chan
      Construction is a high hazard industry which involves many factors that are potentially dangerous to workers. Safety has always been advocated by many construction companies, and they have been working hard to make sure their employees are protected from fatalities and injuries. With the advent of Virtual and Augmented Reality (VR/AR), there has been a witnessed trend of capitalizing on sophisticated immersive VR/AR applications to create forgiving environments for visualizing complex workplace situations, building up risk-preventive knowledge and undergoing training. To better understand the state-of-the-art of VR/AR applications in construction safety (VR/AR-CS) and from which to uncover the related issues and propose possible improvements, this paper starts with a review and synthesis of research evidence for several VR/AR prototypes, products and the related training and evaluation paradigms. Predicated upon a wide range of well-acknowledged scholarly journals, this paper comes up with a generic taxonomy consisting of VR/AR technology characteristics, application domains, safety scenarios and evaluation methods. According to this taxonomy, a number of technical features and types that could be implemented in the context of construction safety enhancement are derived and further elaborated, while significant application domains and trends regarding the VR/AR-CS research are generalized, i.e., hazards recognition and identification, safety training and education, safety instruction and inspection, and so on. Last but not least, this study sets forth a list of gaps derived from the in-depth review and comes up with the prospective research works. It is envisioned that the outcomes of this paper could assist both researchers and industrial practitioners with appreciating the research and practice frontier of VR/AR-CS and soliciting the latest VR/AR applications.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.11.003
      Issue No: Vol. 86 (2017)
       
  • A secure and distributed message oriented middleware for smart building
           applications
    • Authors: Georgios Lilis; Maher Kayal
      Pages: 163 - 175
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Georgios Lilis, Maher Kayal
      In the era of the Internet of Things (IoT) and heterogeneous Information and Communication Technology (ICT) systems, monolithic and proprietary Smart Building (SB) systems are unable to address the challenges of scalability, adaptability, and security. Improved integration and interoperability of the existing and future technologies are essential for overcoming the barriers of SB adoption. This paper proposes a real-time, brokerless, and message-oriented middleware (MoM) system for interfacing and interconnecting the digital and physical assets of the SB. It provides a holistic abstraction to the building management system (BMS) of the underlying device protocols and building construction properties, simplifying the design and reducing the overall system cost. Its distributed architecture scales to any building construction regardless of the devices' performance and connectivity limitations. A secure architecture ensures the integrity of data and operations, and an extensive performance and energy efficiency study validates the proposed design. While MoM systems have been traditionally used in cloud computing, it is the first time that such approach, based on building-distributed embedded electronics and the efficient ZeroMQ messaging library, is successfully validated for a cyber-physical system like the SB.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.10.030
      Issue No: Vol. 86 (2017)
       
  • A tool-supported framework for work planning on construction sites based
           on constraint programming
    • Authors: Azahara Camacho; Pablo C. Cañizares; Sonia Estévez; Manuel Núñez
      Pages: 190 - 198
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Azahara Camacho, Pablo C. Cañizares, Sonia Estévez, Manuel Núñez
      This paper presents a framework taking advantage of the capabilities of current constraint solvers to plan the work on construction sites. It combines different constraints under a common framework to facilitate the definition of temporal relations between different tasks and provides a user-friendly web interface, which facilitates the planning of construction sites. Even though the framework uses complex mathematical models, the users do not need to know the underlying theoretical framework. Another important feature of the framework is, in contrast to usual static planning, that solutions can be dynamically adapted to take into account delays happening during the actual construction process. In order to show the applicability of the methodology, the paperspaper shows how a real construction project can be planned by using the framework.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.11.008
      Issue No: Vol. 86 (2017)
       
  • A dedicated collaboration platform for Integrated Project Delivery
    • Authors: Zhiliang Ma; Dongdong Zhang; Jiulin Li
      Pages: 199 - 209
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Zhiliang Ma, Dongdong Zhang, Jiulin Li
      To improve efficiency and reduce waste in Architecture, Engineering and Construction (AEC) projects, Integrated Project Delivery (IPD) has been proposed and used in some projects, revealing great advantages. However, IPD depends heavily on “big room” collaboration, which requires the constant presence of nearly all participants and is particularly difficult for small or medium projects. To overcome this problem, this research aims to develop a dedicated collaboration platform for IPD to achieve more efficient collaboration and replace the highly resource-consuming “big room”. Based on requirement analysis and design of the system architecture, a prototype system is developed and tested in a virtual IPD project. When combined with a few meetings, this collaboration platform can replace the “big room”. This will significantly reduce the difficulty associated with implementing IPD projects and thus promote the adoption of IPD.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.10.024
      Issue No: Vol. 86 (2017)
       
  • Ontology-driven development of web services to support district energy
           applications
    • Authors: J.-L. Hippolyte; Y. Rezgui; H. Li; B. Jayan; S. Howell
      Pages: 210 - 225
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): J.-L. Hippolyte, Y. Rezgui, H. Li, B. Jayan, S. Howell
      Current urban and district energy management systems lack a common semantic referential for effectively interrelating intelligent sensing, data models and energy models with visualization, analysis and decision support tools. This paper describes the structure, as well as the rationale that led to this structure, of an ontology that captures the real-world concepts of a district energy system, such as a district heating and cooling system. This ontology (called ee-district ontology) is intended to support knowledge provision that can play the role of an intermediate layer between high-level energy management software applications and local monitoring and control software components. In order to achieve that goal, the authors propose to encapsulate queries to the ontology in a scalable web service, which will facilitate the development of interfaces for third-party applications. Considering the size of the ee-district ontology once populated with data from a specific district case study, this could prove to be a repetitive and time-consuming task for the software developer. This paper therefore assesses the feasibility of ontology-driven automation of web service development that is to be a core element in the deployment of heterogeneous district-wide energy management software.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.10.004
      Issue No: Vol. 86 (2017)
       
  • Automatic classification of urban ground elements from mobile laser
           scanning data
    • Authors: J. Balado; L. Díaz-Vilariño; P. Arias; H. González-Jorge
      Pages: 226 - 239
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): J. Balado, L. Díaz-Vilariño, P. Arias, H. González-Jorge
      Accessibility diagnosis of as-built urban environments is essential for path planning, especially in case of people with reduced mobility and it requires an in-depth knowledge of ground elements. In this paper, we present a new approach for automatically detect and classify urban ground elements from 3D point clouds. The methodology enables a high level of detail classification from the combination of geometric and topological information. The method starts by a planar segmentation followed by a refinement based on split and merge operations. Next, a feature analysis and a geometric decision tree are followed to classify regions in preliminary classes. Finally, adjacency is studied to verify and correct the preliminary classification based on a comparison with a topological graph library. The methodology is tested in four real complex case studies acquired with a Mobile Laser Scanner Device. In total, five classes are considered (roads, sidewalks, treads, risers and curbs). Results show a success rate of 97% in point classification, enough to analyse extensive urban areas from an accessibility point of view. The combination of topology and geometry improves a 10% to 20% the success rate obtained with only the use of geometry.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.09.004
      Issue No: Vol. 86 (2017)
       
  • Evaluation of pavement surface drainage using an automated image
           acquisition and processing system
    • Authors: Behrouz Mataei; Fereidoon Moghadas Nejad; Mohsen Zahedi; Hamzeh Zakeri
      Pages: 240 - 255
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Behrouz Mataei, Fereidoon Moghadas Nejad, Mohsen Zahedi, Hamzeh Zakeri
      Network level evaluation of pavement surface drainage plays a crucial role in the improvement of pavement safety and reducing accident rates. Hydroplaning, as the main considered cause of accidents in wet weather conditions, is a consequence of the low quality draining in the pavement surface. Since no automated system currently exists for the pavement drainage evaluation, this work was conducted to present a new system to assess the quality of the surface drainage process. To this end, an innovative device is presented to simulate the saturation condition of the pavement surface and acquire photos from the drainage process of the pavement surface after saturation. Next, an image processing method was applied to produce proper indices for drainage quality assessment. The preprocessing and enhancement of images was performed using shearlet transform. The rate of surface drainage progress was evaluated by three indices extracted from the images. Finally, pavements were classified into three categories according to the indices extracted for their surface drainage. The validation of the proposed method by the confusion matrix shows the high performance of the system in simulation and assessment of surface drainage of the road pavements.
      Graphical abstract image

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.11.010
      Issue No: Vol. 86 (2017)
       
  • Historic Building Information Modelling: performance assessment for
           diagnosis-aided information modelling and management
    • Authors: Silvana Bruno; Mariella De Fino; Fabio Fatiguso
      Pages: 256 - 276
      Abstract: Publication date: February 2018
      Source:Automation in Construction, Volume 86
      Author(s): Silvana Bruno, Mariella De Fino, Fabio Fatiguso
      Building Information Modelling, new paradigm of digital design and management, shows great potential for the refurbishment process, as it represents a possible way out of criticalities that occur in documentation and preservation of existing assets, if connected to cognitive automation. The combination of BIM with automation systems improves the quality control during diagnosis, design and work execution, and the labour savings, which is particularly relevant for rapid intervention in case of hazardous conditions. Therefore, the paper is going to address a methodological discussion concerning complete “as-built” parametric models of historical buildings, supporting the design of refurbishment and conservation interventions. Although some reviews of the state of the art exist on the topic of Historic Building Information Modelling, the present research introduces a different perspective on HBIM modelling, with diagnosis and performance assessment as key-aspects, in terms of automating performance assessment. Specifically, from the data collection of contributions regarding HBIM/BIM, diagnostics and monitoring on existing buildings and infrastructures, a critical review by selected criteria is developed. Nevertheless, general methods and tools for information management and exchange tasks in BIM are briefly described as well, since they are considered useful for future developments of HBIM approach. The core of the critical analysis is focused on the scientific and technical relations among HBIM models, diagnosis and performance assessment features. In addition, the review identifies specific activities and relative tools and methods for knowledge acquisition and semantic enrichment. Finally, gaps in knowledge of the current literature are outlined and discussed, with specific focus on performance assessment in HBIM. In this regard, a new methodology toward Diagnosis-Aided Historic Building Information Modelling and Management (DA-HBIMM) is proposed as a framework to be developed in order to address smart knowledge acquisition, collection and notification of assessed performances and eventual risks, by cognitive automation and artificial intelligence, in the near future.
      Graphical abstract image

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.11.009
      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)
       
  • Inside Front Cover: Editorial Board
    • Abstract: Publication date: January 2018
      Source:Automation in Construction, Volume 85


      PubDate: 2017-11-16T10:57:40Z
       
  • 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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