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Development of mobile augmented-reality and virtual-reality simulated training systems for marine ecology education

The paper is a case study for the effectiveness of hand-held and head-mounted AR interaction for increasing teaching and learning, in the specific field of ...

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Presentation of web technology related to 3 dimentional space. ...

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MAI*MA Using Monte Carlo Method

The first thoughts and attempts I made to practice were suggested by a question which occurred to me in 1946 as I was ...

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(13) Understanding Adaptive Anti Aliasing – YouTube

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Development of mobile augmented-reality and virtual-reality simulated training systems for marine ecology education

The paper is a case study for the effectiveness of hand-held and head-mounted AR interaction for increasing teaching and learning, in the specific field of marine ecology education. This system will serve as an assisting tool for the teaching activity of marine ecology guide to improve the learning effectiveness of the learners. A total of 191 questionnaires were collected, there were 161 valid questionnaires, among which including 70 AR questionnaires, 91 AR2VR questionnaires. There were 30 incomplete invalid questionnaires. This study adopts the pre-test and post-test variance design of the quasi-experimental research method to explore the learners’ flow experience effect, technology acceptance model, activity involvement and learning effect under different guidance modes, as well as their attitudes towards the use and acceptance of the guidance system. The experiments are performed and analyzed in detail. The study results indicate that (a) the learning achievements of the students differed between before and after the AR and VR mobile guidance activities, (b) both the AR and VR guidance modes enhanced the flow experience of visitors, (c) all aspects of the technology acceptance models in both groups had positive effects on the flow experience, (d) all aspects of the activity involvement of both groups had positive effects on flow experience, and (e) most learners exhibited positive attitudes toward and acceptance of using AR and VR mobile guidance systems. ...

3D Web Technology

Presentation of web technology related to 3 dimentional space. LeKTuRaT ...

a faculty member of Mila (3) a feat that could make machine learning more accessible for broader audiences. Hugo is an associate fellow in the CIFAR Learning in Machines (3) AI (10) api (3) apprentissage biologique du CIFAR (4) a professor at the Université de Montréal. He leads the Google Brain group in Montréal. Visit cifar.ca/ai to subscribe to the AICan Bulletin (3) assortie d’un octroi de 125 millions de dollars (4) a technique commonly employed in computer vision. Hugo is looking at ways to make systems faster and more accurate in the absence of lots of (3) aws (4) but large datasets are not always easy to come by. Canada CIFAR AI Chair Hugo Larochelle is advancing research in few shot learning (3) clarisse (4) corpus (3) def (3) en collaboration avec les trois nouveaux instituts d’IA : Amii à Edmonton (4) fait progresser la recherche dans le domaine de l’apprentissage à partir de peu de données (few-shot learning) (3) fogram (7) fritz (4) GPU (3) houdini (36) Machines learn best when they have lots of data (3) mais il n’est pas toujours facile d’obtenir de gros ensembles de données. Hugo Larochelle (3) Media (4) membre du corps professoral de Mila et professeur à l’Université de Montréal. Il dirige le groupe Google Brain à Montréal. Visitez cifar.ca/f (3) Mila in Montreal and the Vector Institute in Toronto. CIFAR is a Canadian-based global charitable organization that convenes extraordinary mi (4) Mila à Montréal et l’Institut Vecteur à Toronto. Le CIFAR est une organisation caritative mondiale basée au Canada qui rassemble de brillants (4) mp (3) PDG (3) Physics Girl (3) pipeline (3) POP (8) RC (3) rendering (6) Siggraph (5) simulation (2) texturing (7) This thing is -270°C and is EVERYWHERE (3) titulaire d’une chaire en IA Canada-CIFAR (4) une technique couramment utilisée en vision par ordinateur. Hugo cherche à rendre les systèmes plus rapides et plus précis en l’absence de no (3) un exploit qui pourrait rendre l’apprentissage automatique accessible à un public plus large. Hugo est membre associé du programme Apprentiss (3) VFX (25) VR (3) wordpress (5) working in partnership with three newly established AI Institutes – Amii in Edmonton (4) wpapp (14) zotero (5)

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