The Use of Virtual Reality for Simulation and Training of Bovine Artificial Insemination with Haptic Devices

Author(s):  
Alexandre Cardoso ◽  
Edgard Afonso Lamounier Junior ◽  
Andre de Mattos Faro
Author(s):  
Francesco Ferrise ◽  
Monica Bordegoni ◽  
Umberto Cugini

The paper describes the development of a multimodal environment that can be used as a tool to train operators to perform maintenance tasks of industrial products during their lifecycle. The environment provides a visual and haptic representation of a product through the use of commercially-available hardware and software technologies. The new environment mixes interactive simulations of products, based on Virtual Reality technologies, and the information included in the traditional instruction manuals. The paper discusses about what can be effectively simulated with the available technology, and how the current technological limitations can be overcome by using the potentialities offered by a multimodal approach. Technology limitations can also be overcome by mixing two different strategies for coupling parts: the physics-based and the constraint-based approach. A case study provided by a company working in the field of household appliances has been used to prove the concept, to develop, test and finally refine the multimodal environment. The paper describes the development of the multimodal environment and presents the results of the user tests.


Author(s):  
S Leinster-Evans ◽  
J Newell ◽  
S Luck

This paper looks to expand on the INEC 2016 paper ‘The future role of virtual reality within warship support solutions for the Queen Elizabeth Class aircraft carriers’ presented by Ross Basketter, Craig Birchmore and Abbi Fisher from BAE Systems in May 2016 and the EAAW VII paper ‘Testing the boundaries of virtual reality within ship support’ presented by John Newell from BAE Systems and Simon Luck from BMT DSL in June 2017. BAE Systems and BMT have developed a 3D walkthrough training system that supports the teams working closely with the QEC Aircraft Carriers in Portsmouth and this work was presented at EAAW VII. Since then this work has been extended to demonstrate the art of the possible on Type 26. This latter piece of work is designed to explore the role of 3D immersive environments in the development and fielding of support and training solutions, across the range of support disciplines. The combined team are looking at how this digital thread leads from design of platforms, both surface and subsurface, through build into in-service support and training. This rich data and ways in which it could be used in the whole lifecycle of the ship, from design and development (used for spatial acceptance, HazID, etc) all the way through to operational support and maintenance (in conjunction with big data coming off from the ship coupled with digital tech docs for maintenance procedures) using constantly developing technologies such as 3D, Virtual Reality, Augmented Reality and Mixed Reality, will be proposed.  The drive towards gamification in the training environment to keep younger recruits interested and shortening course lengths will be explored. The paper develops the options and looks to how this technology can be used and where the value proposition lies. 


2021 ◽  
Vol 5 (1) ◽  
pp. 17
Author(s):  
Miguel Ángel Ruiz Reina

In this research, a new uncertainty method has been developed and applied to forecasting the hotel accommodation market. The simulation and training of Time Series data are from January 2001 to December 2018 in the Spanish case. The Log-log BeTSUF method estimated by GMM-HAC-Newey-West is considered as a contribution for measuring uncertainty vs. other prognostic models in the literature. The results of our model present better indicators of the RMSE and Ratio Theil’s for the predictive evaluation period of twelve months. Furthermore, the straightforward interpretation of the model and the high descriptive capacity of the model allow economic agents to make efficient decisions.


2020 ◽  
Vol 31 (5) ◽  
pp. 753-753
Author(s):  
Andrea Dell’Amore ◽  
Rafael Boscolo-Berto ◽  
Marco Schiavona ◽  
Alessandro Pangoni ◽  
Andrea Porzionato ◽  
...  

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