scholarly journals A review of augmented reality applied to underground construction

2020 ◽  
Vol 25 ◽  
pp. 308-324
Author(s):  
Amr S. Fenais ◽  
Samuel T. Ariaratnam ◽  
Steven K. Ayer ◽  
Nikolas Smilovsky
Keyword(s):  
Augmented Reality ◽  
Construction Industry ◽  
The United States ◽  
Economic Consequences ◽  
Advanced Technology ◽  
Journal Articles ◽  
Underground Construction ◽  
Underground Utilities ◽  
Feasible Solutions ◽  
Visualization Techniques

Unintentional striking of underground utilities from construction activities often results in high economic consequences. Advanced technology and sophisticated visualization techniques such as augmented reality (AR) has the potential to play a significant role in mitigating such devastating consequences. To better understand the state-of-the-art technology of AR applications in the underground construction industry, it is important to identify challenges and barriers. This paper provides a systematic literature review of applications in the construction industry in general in which journal articles were reviewed, analysed, and summarized. Through this method, the main challenges associated with AR were revealed and feasible solutions were suggested. Issues were found with 1) data collection; 2) modelling and alignment barriers; 3) hardware limitations; 4) tracking; and 5) managing data. This research examined an efficient solution to the problems of AR by proposing a framework for future implementation with main applications in the United States, Canada, and Australia.

scholarly journals Integrating Geographic Information Systems and Augmented Reality for Mapping Underground Utilities

2019 ◽  
Vol 4 (4) ◽  
pp. 60 ◽  
Author(s):  
Amr Fenais ◽  
Samuel T. Ariaratnam ◽  
Steven K. Ayer ◽  
Nikolas Smilovsky
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Augmented Reality ◽  
Construction Industry ◽  
Design Research ◽  
Group Discussion ◽  
Geographic Information ◽  
Research Approach ◽  
Underground Construction ◽  
Underground Utilities

Underground infrastructure is a critical component of the basic utility services provided to society. The single largest threat to the safety of underground utility lines is being struck by construction earthwork projects. One of the causes of this problem is miscommunication between utility owners and contractors. Therefore, it is vitally important to coordinate resources, share information, and ensure efficient communication between construction personnel and utility owners. Geographic information systems (GIS) provide a solution for interoperability in the construction industry. Applying such technologies in the field of underground construction requires accurate and up-to-date information. Augmented reality (AR) has been identified as a technique that could enhance information extraction from the virtual world to the real world and improve the access and utilization of information. However, there is currently limited research that has integrated AR and GIS and evaluated the effectiveness and usability of the combination in this domain. The main objective of this research was to develop an integrated AR-GIS for mapping and capturing underground utilities using a mobile device. The data are shared instantaneously with other stakeholders through a cloud-based system. In order to achieve these objectives, a design research approach was utilized to develop and evaluate a mobile extended-reality (XR-GIS) application. Validation of the XR-GIS was conducted through a focus group discussion and a questionnaire. The results revealed that 86% of the participants validated the system’s adaptivity to the underground construction. We can conclusively say that this research has produced an efficient solution for data collection and sharing among stakeholders in the underground construction industry.

International Research and Variation in Views of Ethnicity

2012 ◽  
Vol 2 (2) ◽  
pp. 66-72
Author(s):  
Ella Inglebret ◽  
Amy Skinder-Meredith ◽  
Shana Bailey ◽  
Carla Jones ◽  
Ashley France
Keyword(s):  
United States ◽  
Classification System ◽  
International Research ◽  
The United States ◽  
Research Articles ◽  
Journal Articles ◽  
Research Participants ◽  
The Past ◽  
International Scale ◽  
Publication Patterns

The authors in this article first identify the extent to which research articles published in three American Speech-Language-Hearing Association (ASHA) journals included participants, age birth to 18 years, from international backgrounds (i.e., residence outside of the United States), and go on to describe associated publication patterns over the past 12 years. These patterns then provide a context for examining variation in the conceptualization of ethnicity on an international scale. Further, the authors examine terminology and categories used by 11 countries where research participants resided. Each country uses a unique classification system. Thus, it can be expected that descriptions of the ethnic characteristics of international participants involved in research published in ASHA journal articles will widely vary.

scholarly journals Numerical and Experimental Investigation on Concrete Splitting Failure of Anchor Channels

CivilEng ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 502-522
Author(s):  
Anton Bogdanić ◽  
Daniele Casucci ◽  
Joško Ožbolt
Keyword(s):  
Construction Industry ◽  
Failure Mode ◽  
Current Trend ◽  
The United States ◽  
Embedment Depth ◽  
Test Results ◽  
Concrete Members ◽  
Splitting Failure ◽  
Edge Distance ◽  
Numerical Parametric Study

Concrete splitting failure due to tension load can occur when fastening systems are located close to an edge or corner of a concrete member, especially in thin members. This failure mode has not been extensively investigated for anchor channels. Given the current trend in the construction industry towards more slender concrete members, this failure mode will become more and more relevant. In addition, significantly different design rules in the United States and Europe indicate the need for harmonization between codes. Therefore, an extensive numerical parametric study was carried out to evaluate the influence of member thickness, edge distance, and anchor spacing on the capacity of anchor channels in uncracked and unreinforced concrete members. One of the main findings was that the characteristic edge distance depends on the member thickness and can be larger than 3hef (hef = embedment depth) for thin members. Based on the numerical and experimental test results, modifications of the design recommendations for the splitting failure mode are proposed. Overall, the authors recommend performing the splitting verification separately from the concrete breakout to design anchor channels in thin members more accurately.

scholarly journals Predicting the Dynamics of the COVID-19 Pandemic in the United States Using Graph Theory-Based Neural Networks

2021 ◽  
Vol 18 (7) ◽  
pp. 3834
Author(s):  
Mohammad Reza Davahli ◽  
Krzysztof Fiok ◽  
Waldemar Karwowski ◽  
Awad M. Aljuaid ◽  
Redha Taiar
Keyword(s):  
United States ◽  
Neural Networks ◽  
Graph Theory ◽  
Predictive Model ◽  
Short Term Memory ◽  
The United States ◽  
Graphical Analysis ◽  
Economic Consequences ◽  
Current Status ◽  
The Usa

The COVID-19 pandemic has had unprecedented social and economic consequences in the United States. Therefore, accurately predicting the dynamics of the pandemic can be very beneficial. Two main elements required for developing reliable predictions include: (1) a predictive model and (2) an indicator of the current condition and status of the pandemic. As a pandemic indicator, we used the effective reproduction number (Rt), which is defined as the number of new infections transmitted by a single contagious individual in a population that may no longer be fully susceptible. To bring the pandemic under control, Rt must be less than one. To eliminate the pandemic, Rt should be close to zero. Therefore, this value may serve as a strong indicator of the current status of the pandemic. For a predictive model, we used graph neural networks (GNNs), a method that combines graphical analysis with the structure of neural networks. We developed two types of GNN models, including: (1) graph-theory-based neural networks (GTNN) and (2) neighborhood-based neural networks (NGNN). The nodes in both graphs indicated individual states in the US states. While the GTNN model’s edges document functional connectivity between states, those in the NGNN model link neighboring states to one another. We trained both models with Rt numbers collected over the previous four days and asked them to predict the following day for all states in the USA. The performance of these models was evaluated with the datasets that included Rt values reflecting conditions from 22 January through 26 November 2020 (before the start of COVID-19 vaccination in the USA). To determine the efficiency, we compared the results of two models with each other and with those generated by a baseline Long short-term memory (LSTM) model. The results indicated that the GTNN model outperformed both the NGNN and LSTM models for predicting Rt.

Advanced Technology Programs for Small Turboshaft Engines: Past, Present, Future

1991 ◽  
Vol 113 (1) ◽  
pp. 33-39 ◽  
Author(s):  
E. T. Johnson ◽  
H. Lindsay
Keyword(s):  
United States Army ◽  
High Performance ◽  
The United States ◽  
Modern Technology ◽  
Advanced Technology ◽  
Gas Generator ◽  
Turbine Engine ◽  
Technology Programs ◽  
Aircraft Propulsion System ◽  
Year 2000

This paper addresses approximately 15 years of advanced technology programs sponsored by the United States Army Aviation Applied Technology Directorate and its predecessor organizations and conducted by GE Aircraft Engines (GEAE). Included in these programs is the accomplishment of (1) the 1500 shp demonstrator (GE12), which led to the 1700, and (2) the 5000 shp Modern Technology Demonstrator Engine (MTDE/GE27). Also included are several advanced technology component programs that have been completed or are ongoing through the early 1990s. The goals for the next generation of tri-service small advanced gas generator demonstration programs are shown. A prediction is thus made of the advancements required to fulfill the aircraft propulsion system established by the DoD/NASA Integrated High-Performance Turbine Engine Technology (IHPTET) initiative through the year 2000.

scholarly journals Economic Impact from Unrestricted Spread of Potato Cyst Nematodes in Australia

2009 ◽  
Vol 99 (12) ◽  
pp. 1387-1393 ◽  
Author(s):  
M. Hodda ◽  
D. C. Cook
Keyword(s):  
United States ◽  
Confidence Interval ◽  
Economic Impact ◽  
Annual Cost ◽  
The United States ◽  
Economic Consequences ◽  
Potato Cyst Nematodes ◽  
Cyst Nematodes ◽  
Model Predictions ◽  
Alternative Responses

Potato cyst nematodes (PCN) (Globodera spp.) are quarantine pests with serious potential economic consequences. Recent new detections in Australia, Canada, and the United States have focussed attention on the consequences of spread and economic justifications for alternative responses. Here, a full assessment of the economic impact of PCN spread from a small initial incursion is presented. Models linking spread, population growth, and economic impact are combined to estimate costs of spread without restriction in Australia. Because the characteristics of the Australian PCN populations are currently unknown, the known ranges of parameters were used to obtain cost scenarios, an approach which makes the model predictions applicable generally. Our analysis indicates that mean annual costs associated with spread of PCN would increase rapidly initially, associated with increased testing. Costs would then increase more slowly to peak at over AUD$20 million per year ≈10 years into the future. Afterward, this annual cost would decrease slightly due to discounting factors. Mean annual costs over 20 years were $18.7 million, with a 90% confidence interval between AUD$11.9 million and AUD$27.0 million. Thus, cumulative losses to Australian agriculture over 20 years may exceed $370 million without action to prevent spread of PCN and entry to new areas.

scholarly journals The Internationalization of the Academic Library: A Systematic Review of 25 Years of Literature on International Students

2017 ◽  
Vol 78 (3) ◽  
pp. 328 ◽  
Author(s):  
Amanda B. Click ◽  
Claire Walker Wiley ◽  
Meggan Houlihan
Keyword(s):  
Systematic Review ◽  
International Students ◽  
Academic Libraries ◽  
Information Science ◽  
Academic Library ◽  
The United States ◽  
Library And Information Science ◽  
Original Research ◽  
Journal Articles ◽  
Conference Papers

This study is a systematic review of the library and information science (LIS) literature related to international students and academic libraries. A systematic review involves the methodical collection and analysis of a body of literature and is growing in popularity in the LIS field. Three well-known LIS databases were systematically searched for articles related to the topic, and manual bibliography searches were conducted to find additional publications. Journal articles, book chapters, and conference papers were included or excluded based on established criteria. Findings show that articles published about international students and academic libraries have increased steadily between 1990 and 2014. The majority of authors are affiliated with universities and institutions in the United States, although an increase in represented countries is apparent. Fewer than half of the articles can be considered original research, and surveys are the most popular method for data collection. The LIS field—and international students—would benefit from further exploration of this topic, particularly from original research with practical implications.

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