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Enabling the Development and Implementation of Digital Twins: Proceedings of the 20th International Conference on Construction Applications of Virtual Reality
Nashwan Dawood,Farzad Pour Rahimian,Saleh Seyedzadeh,Moslem Sheikhkhoshkar +3 more
- 01 Oct 2020
20
TL;DR: This research presents a framework for the generation and automated assessment of inherent synthetic data that can be collected about users in VR within today’s construction sites and presents future avenues towards enhancing existing learning methods.
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Abstract: Welcome to the 20th International Conference on Construction Applications of Virtual Reality (CONVR 2020). This year we are meeting on-line due to the current Coronavirus pandemic. The overarching theme for CONVR2020 is "Enabling the development and implementation of Digital Twins". CONVR is one of the world-leading conferences in the areas of virtual reality, augmented reality and building information modelling. Each year, more than 100 participants from all around the globe meet to discuss and exchange the latest developments and applications of virtual technologies in the architectural, engineering, construction and operation industry (AECO). The conference is also known for having a unique blend of participants from both academia and industry. This year, with all the difficulties of replicating a real face to face meetings, we are carefully planning the conference to ensure that all participants have a perfect experience. We have a group of leading keynote speakers from industry and academia who are covering up to date hot topics and are enthusiastic and keen to share their knowledge with you. CONVR participants are very loyal to the conference and have attended most of the editions over the last eighteen editions. This year we are welcoming numerous first timers and we aim to help them make the most of the conference by introducing them to other participants.
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Citations
Geostatistics For Environmental Scientists
Marko Wagner
- 01 Jan 2016
TL;DR: The geostatistics for environmental scientists is universally compatible with any devices to read and is available in the book collection an online access to it is set as public so you can get it instantly.
697
Towards integrated performance-driven generative design tools
Kristina Shea,R. Aish,Marina Gourtovaia +2 more
- 01 Jan 2004
TL;DR: In this paper, a preliminary integration of a generative structural design system, eifForm, and an associative modeling system, Generative Components, through the use of XML models is described.
192
Digital twin-based progress monitoring management model through reality capture to extended reality technologies (DRX)
Sepehr Alizadehsalehi,Ibrahim Yitmen +1 more
- 30 Apr 2021
TL;DR: The research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.
Immersive virtual reality for extending the potential of building information modeling in architecture, engineering, and construction sector: systematic review
TL;DR: In this paper , the authors systematically review recent research around the application of VR in BIM and discuss the results using the PRISMA flowchart, and extend the discussion by summarizing the potential future work in this area.
109
References
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
Songnian Li,Suzana Dragićević,Francesc Antón Castro,Monika Sester,Stephan Winter,Arzu Çöltekin,Christopher Pettit,Bin Jiang,James Haworth,Alfred Stein,Tao Cheng +10 more
TL;DR: The International Society for Photogrammetry and Remote Sensing (ISPRS) Technical Commission II (TC II) revisited the existing geospatial data handling methods and theories.
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Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
Terry Taewoong Um,Franz M. J. Pfister,Daniel Pichler,Satoshi Endo,Muriel Lang,Sandra Hirche,Urban Fietzek,Dana Kulic +7 more
TL;DR: In this article, various data augmentation methods for wearable sensor data are proposed and applied to the classification of the motor state of Parkinson's disease patients, which is challenging due to small dataset size, noisy labels, and large intra-class variability Appropriate augmentation improves the classification performance from 7754% to 8688%
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Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
TL;DR: A convolutional neural network architecture in which the neural network is divided into hardware and software parts to increase performance and reduce the cost of implementation resources is proposed.
488
RapidMiner: Data Mining Use Cases and Business Analytics Applications
Markus Hofmann,Ralf Klinkenberg +1 more
- 25 Oct 2013
TL;DR: RapidMiner: Data Mining Use Cases and Business Analytics Applications provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors.
The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components
TL;DR: The research presented in this paper combines the Hough transform and “Scan-vs-BIM” systems in a unified approach for more robust automated comparison of as-built and as-planned cylindrical MEP works, thereby providing the basis for automated earned value tracking, automated percent-built-as-planned measures, and assistance for the delivery of as -built BIM models from as-designed ones.
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