scholarly journals A Holographic Future: Comparing an AR headset to traditional construction methods

2021 ◽  
Author(s):  
◽  
Tayler Hubber-Davis
Keyword(s):  
Information Retrieval ◽  
Focus Group ◽  
Construction Industry ◽  
Mixed Method ◽  
Time Frame ◽  
Second Phase ◽  
Control Groups ◽  
Construction Productivity ◽  
Construction Methods ◽  
Information Retrieval Methods

<p>New Zealand’s construction industry has seen a profound uptake in the use of Building Information Modelling (BIM) in recent years. BIM has proven to be beneficial to individuals during moments of the lifecycle of a building, but it has yet to play a significant role in the actual construction stage of a project.  In recent years, researchers have become increasingly interested in the use of Augmented Reality (AR) to provide support for BIM implementation and productivity on-site. However, current research has yet to prove the effectiveness of integrating the information from the BIM model into an AR environment. With international AR applications emerging and the improvement on AR and BIM software, it has now become feasible to test the integration of these two technologies dynamically.  This paper utilises recent developments in technology to provide a comparison of the effectiveness of information retrieval methods. A three-phase, mixed method experiment was conducted and evaluated over a one-year time frame in Wellington, New Zealand. By using a mixed method approach, the research gained multiple forms of data drawing on all possibilities. One phase involved a focus group with a variety of construction industry professionals exploring the use of BIM and how their teams work together to solve problems and tasks on-site. The second phase had twenty-four construction industry tradesmen randomly assigned to three control groups to complete clash detection tasks using different visualisation mediums. The control groups used either two-dimensional paper drawings, a BIM model on a laptop, or a BIM model in a Microsoft HoloLens to complete the information retrieval tasks. Following the task-based experiment, the control groups participated in a focus group to understand tradesmen’s perceptions of the different visualisation mediums and how current processes could be improved for their understanding. Each group was assessed on a usability framework model of effectiveness, efficiency and satisfaction.  Based on the results of the experiments and focus groups, this research can produce evidence for determining the most effective methods for information retrieval and clash detection on-site. Can AR provide a more powerful system for construction productivity and information retrieval than paper or computer-based systems? The research does not provide a detailed solution but instead demonstrates the potential marriage between AR and BIM technologies to help evolve future building processes.</p>

scholarly journals A Holographic Future: Comparing an AR headset to traditional construction methods

2021 ◽  
Author(s):  
◽  
Tayler Hubber-Davis
Keyword(s):  
Information Retrieval ◽  
Focus Group ◽  
Construction Industry ◽  
Mixed Method ◽  
Time Frame ◽  
Second Phase ◽  
Control Groups ◽  
Construction Productivity ◽  
Construction Methods ◽  
Information Retrieval Methods

<p>New Zealand’s construction industry has seen a profound uptake in the use of Building Information Modelling (BIM) in recent years. BIM has proven to be beneficial to individuals during moments of the lifecycle of a building, but it has yet to play a significant role in the actual construction stage of a project.  In recent years, researchers have become increasingly interested in the use of Augmented Reality (AR) to provide support for BIM implementation and productivity on-site. However, current research has yet to prove the effectiveness of integrating the information from the BIM model into an AR environment. With international AR applications emerging and the improvement on AR and BIM software, it has now become feasible to test the integration of these two technologies dynamically.  This paper utilises recent developments in technology to provide a comparison of the effectiveness of information retrieval methods. A three-phase, mixed method experiment was conducted and evaluated over a one-year time frame in Wellington, New Zealand. By using a mixed method approach, the research gained multiple forms of data drawing on all possibilities. One phase involved a focus group with a variety of construction industry professionals exploring the use of BIM and how their teams work together to solve problems and tasks on-site. The second phase had twenty-four construction industry tradesmen randomly assigned to three control groups to complete clash detection tasks using different visualisation mediums. The control groups used either two-dimensional paper drawings, a BIM model on a laptop, or a BIM model in a Microsoft HoloLens to complete the information retrieval tasks. Following the task-based experiment, the control groups participated in a focus group to understand tradesmen’s perceptions of the different visualisation mediums and how current processes could be improved for their understanding. Each group was assessed on a usability framework model of effectiveness, efficiency and satisfaction.  Based on the results of the experiments and focus groups, this research can produce evidence for determining the most effective methods for information retrieval and clash detection on-site. Can AR provide a more powerful system for construction productivity and information retrieval than paper or computer-based systems? The research does not provide a detailed solution but instead demonstrates the potential marriage between AR and BIM technologies to help evolve future building processes.</p>

PERBEZAAN DALAM PENGGUNAAN JENTERA DAN MESIN BAGI KAEDAH PEMBINAAN SECARA KONVENSIONAL DAN SISTEM PEMBINAAN BERINDUSTRI (IBS)

2015 ◽  
Vol 77 (4) ◽  
Author(s):  
Mohamed Nor Azhari Azman ◽  
Fardila Mohd Zaihidee ◽  
Ramlee Mustapha ◽  
Mohd Nasrun Mohd Nawi ◽  
Khuan Wai Bing ◽  
...  
Keyword(s):  
Focus Group ◽  
Private Sector ◽  
Construction Industry ◽  
Construction Projects ◽  
Construction Period ◽  
Construction Productivity ◽  
Construction Methods ◽  
Large Size ◽  
Foreign Labour ◽  
New Construction

Use of machinery and machine extensively in the construction industry could increase construction productivity in terms of time, energy and costs and thereby to reduce dependence on foreign labour.  Construction Industry Development Board has drawn up a strategic plan of using the Industrialised Building System (IBS) in both government and private sector to promote construction practices in the use of machinery and machine optimally. Therefore, this study was aimed to investigate the differences in the use of machinery and engines for conventional construction methods and IBS. The instrument consists of interview and focus group protocols. The findings found that there are two types of machines that were frequently used in the construction which included mobile cranes and backhoe, where IBS used modular components such as walls, floors, beams and columns. Modular components are heavy and large size which required the use of machinery and this could reduce the use of foreign labour. Using IBS, the completion of construction projects was within half or a third of the time of conventional construction period. This allows the contractor to add new construction projects and this could increase construction productivity.

scholarly journals Can the application of certain music information retrieval methods contribute to the machine learning classification of electrocardiographic signals?

Heliyon ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e06257
Author(s):  
Ennio Idrobo-Ávila ◽  
Humberto Loaiza-Correa ◽  
Rubiel Vargas-Cañas ◽  
Flavio Muñoz-Bolaños ◽  
Leon van Noorden
Keyword(s):  
Machine Learning ◽  
Information Retrieval ◽  
Music Information Retrieval ◽  
Machine Learning Classification ◽  
Information Retrieval Methods ◽  
Music Information

Musical Features that Aid Sleep

2020 ◽  
pp. 102986492097216
Author(s):  
Gaelen Thomas Dickson ◽  
Emery Schubert
Keyword(s):  
Information Retrieval ◽  
Online Survey ◽  
Music Information Retrieval ◽  
Rhythmic Activity ◽  
Main Frequency ◽  
Middle Range ◽  
Major Mode ◽  
Information Retrieval Methods ◽  
Music Information ◽  
Selection Of

Background: Music is thought to be beneficial as a sleep aid. However, little research has explicitly investigated the specific characteristics of music that aid sleep and some researchers assume that music described as generically sedative (slow, with low rhythmic activity) is necessarily conducive to sleep, without directly interrogating this assumption. This study aimed to ascertain the features of music that aid sleep. Method: As part of an online survey, 161 students reported the pieces of music they had used to aid sleep, successfully or unsuccessfully. The participants reported 167 pieces, some more often than others. Nine features of the pieces were analyzed using a combination of music information retrieval methods and aural analysis. Results: Of the pieces reported by participants, 78% were successful in aiding sleep. The features they had in common were that (a) their main frequency register was middle range frequencies; (b) their tempo was medium; (c) their articulation was legato; (d) they were in the major mode, and (e) lyrics were present. They differed from pieces that were unsuccessful in aiding sleep in that (a) their main frequency register was lower; (b) their articulation was legato, and (c) they excluded high rhythmic activity. Conclusion: Music that aids sleep is not necessarily sedative music, as defined in the literature, but some features of sedative music are associated with aiding sleep. In the present study, we identified the specific features of music that were reported to have been successful and unsuccessful in aiding sleep. The identification of these features has important implications for the selection of pieces of music used in research on sleep.

Optimising web‐based information retrieval methods for horizon scanning

foresight ◽  
2013 ◽  
Vol 15 (3) ◽  
pp. 159-176 ◽  
Author(s):  
Marco A. Palomino ◽  
Alexandra Vincenti ◽  
Richard Owen
Keyword(s):  
Information Retrieval ◽  
Web Based ◽  
Horizon Scanning ◽  
Information Retrieval Methods

scholarly journals Work Stress among Professionals in Building Construction Industry in Nigeria

2011 ◽  
Vol 11 (3) ◽  
pp. 45-57 ◽  
Author(s):  
Eziyi Offia Ibem ◽  
Michael Nwabueze Anosike ◽  
Dominic Ezenwa Azuh ◽  
Tim O. Mosaku
Keyword(s):  
Construction Industry ◽  
Work Stress ◽  
Management Strategies ◽  
High Volume ◽  
Time Frame ◽  
Building Construction ◽  
Stress Factors ◽  
Project Delivery ◽  
Building Projects ◽  
Structural Engineers

This study was undertaken to identify key stress factors among professionals in building construction industry in Nigeria. This is in view of the fact that to date, very little is known about work stress among professionals in building construction industry in this country. The study involved the administration of questionnaire to 107 professionals including architects, builders, civil/structural engineers and quantity surveyors randomly selected from 60 ongoing building projects in Anambra, Ogun and Kaduna States, Nigeria. The data was analysed using descriptive statistics, and findings show that the principal sources of stress were high volume of work, uncomfortable site office environment, lack of feedback on previous and ongoing building projects, and variations in the scope of work in ongoing building projects. The paper suggests that taking responsibility for work which one has adequate capacity to handle, establishing realistic budgets and time frame for project delivery, provision of spatially adequate, visually and thermally comfortable site offices, adoption of appropriate job design practice and education of professionals on stress management strategies will reduce the incidence of stress among professionals in building industry in Nigeria. 

scholarly journals BARRIERS TO CONSTRUCTION INDUSTRY STAKEHOLDERS’ ENGAGEMENT WITH SUSTAINABILITY: TOWARD A SHARED KNOWLEDGE EXPERIENCE

2013 ◽  
Vol 19 (2) ◽  
pp. 289-309 ◽  
Author(s):  
Ian E. Wilson ◽  
Yacine Rezgui
Keyword(s):  
Construction Industry ◽  
Mixed Method ◽  
Perceived Barriers ◽  
Energy Reduction ◽  
Shared Knowledge ◽  
Technical Knowledge ◽  
Mixed Method Approach ◽  
Wide Range ◽  
Method Approach

Sustainability ill-practices in the construction industry can have major drawbacks on meeting governmental targets on carbon and energy reduction. Using a mixed-method approach drawn from three studies to explore the level of engagement of construction stakeholders in adopting government sustainability agendas, the research identifies a wide range of perceived barriers, which operate broadly at ‘individual’ and ‘organisational’ levels. Sustainability knowledge in construction is fragmented, diverse, embedded in various documents, and developed in a non-concerted and integrated way across stakeholders, localities, regions, and countries. There is an emergent need for a socio-technical ‘knowledge solution’ to create circles of impacts that bind building professionals, energy administrations, and citizens in a shared sustainability experience to address a number of issues.

scholarly journals Drivers of Productivity: a Case Study of the Australian Construction Industry

2015 ◽  
Vol 15 (3) ◽  
pp. 85-97 ◽  
Author(s):  
Will Chancellor
Keyword(s):  
Research And Development ◽  
Construction Industry ◽  
Western Australia ◽  
Productivity Growth ◽  
New South ◽  
Safety Regulation ◽  
Construction Productivity ◽  
South Wales ◽  
Construction Activity

Australian construction productivity has grown slowly since 1985 and remains arguably stagnant. The importance of this study is therefore to examine several factors through to be drivers of construction productivity and to understand possible avenues for improvement. The drivers tested are research and development, apprentices, wage growth, unionisation and safety regulation. Expenditure on research and development and the number of apprentices were found to be drivers of productivity growth in Victoria, New South Wales and Western Australia. These findings are important because collectively, these three states account for a majority of construction activity in Australia.

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