Accelerating multi-media processing by implementing memoing in multiplication and division units

1998 ◽  
Author(s):  
Daniel Citron ◽  
Dror Feitelson ◽  
Larry Rudolph
Keyword(s):  
Media Processing ◽  
Multi Media

Accelerating multi-media processing by implementing memoing in multiplication and division units

1998 ◽  
Vol 32 (5) ◽  
pp. 252-261 ◽  
Author(s):  
Daniel Citron ◽  
Dror Feitelson ◽  
Larry Rudolph
Keyword(s):  
Media Processing ◽  
Multi Media

Accelerating multi-media processing by implementing memoing in multiplication and division units

1998 ◽  
Vol 33 (11) ◽  
pp. 252-261 ◽  
Author(s):  
Daniel Citron ◽  
Dror Feitelson ◽  
Larry Rudolph
Keyword(s):  
Media Processing ◽  
Multi Media

Reconstruction of complex shaped crack from ECT signals based on a fast forward solver using an advanced multi-media element

2020 ◽  
Vol 64 (1-4) ◽  
pp. 621-629
Author(s):  
Yingsong Zhao ◽  
Cherdpong Jomdecha ◽  
Shejuan Xie ◽  
Zhenmao Chen ◽  
Pan Qi ◽  
...  
Keyword(s):  
Coefficient Matrix ◽  
Crack Edge ◽  
Numerical Accuracy ◽  
Gauss Point ◽  
Current Testing ◽  
Efficient Simulation ◽  
Shaped Crack ◽  
Multi Media ◽  
Profile Reconstruction ◽  
Crack Profile

In this paper, the conventional database type fast forward solver for efficient simulation of eddy current testing (ECT) signals is upgraded by using an advanced multi-media finite element (MME) at the crack edge for treating inversion of complex shaped crack. Because the analysis domain is limited at the crack region, the fast forward solver can significantly improve the numerical accuracy and efficiency once the coefficient matrices of the MME can be properly calculated. Instead of the Gauss point classification, a new scheme to calculate the coefficient matrix of the MME is proposed and implemented to upgrade the ECT fast forward solver. To verify its efficiency and the feasibility for reconstruction of complex shaped crack, several cracks were reconstructed through inverse analysis using the new MME scheme. The numerical results proved that the upgraded fast forward solver can give better accuracy for simulating ECT signals, and consequently gives better crack profile reconstruction.

Michael Clegg (1933–1995): from naturalist to environmental correspondent in the multi-media age

2015 ◽  
Vol 42 (2) ◽  
pp. 245-252 ◽  
Author(s):  
P. G. Moore
Keyword(s):  
Twentieth Century ◽  
Sustainable Development ◽  
Natural History ◽  
Biodiversity Conservation ◽  
Environmental Issues ◽  
Full Time ◽  
Scientific Background ◽  
The Media ◽  
Multi Media

The coverage of natural history in British newspapers has evolved from a “Nature notes” format – usually a regular column submitted by a local amateur naturalist – to professional, larger-format, presentations by dedicated environmental correspondents. Not all such environmental correspondents, however, have natural-history expertise or even a scientific background. Yorkshire's Michael Clegg was a man who had a life-long love of nature wedded to a desire to communicate that passion. He moved from a secure position in the museum world (with a journalistic sideline) to become a freelance newspaper journalist and (subsequently) commentator on radio and television dealing with, and campaigning on, environmental issues full-time. As such, he exemplified the transition in how natural history coverage in the media evolved in the final decades of the twentieth century reflecting modern concerns about biodiversity, conservation, pollution and sustainable development.

HUNT: Scavenger Hunt with Augmented Reality

10.28945/2207 ◽  
2015 ◽  
Vol 10 ◽  
pp. 021-035 ◽  
Author(s):  
Yan Lu ◽  
Joseph T. Chao ◽  
Kevin R. Parker
Keyword(s):  
Augmented Reality ◽  
Real World ◽  
Interactive Multimedia ◽  
User Involvement ◽  
Mobile App ◽  
Educational Tool ◽  
World Views ◽  
Correct Object ◽  
Multi Media ◽  
Iphone Application

This project shows a creative approach to the familiar scavenger hunt game. It involved the implementation of an iPhone application, HUNT, with Augmented Reality (AR) capability for the users to play the game as well as an administrative website that game organizers can use to create and make available games for users to play. Using the HUNT mobile app, users will first make a selection from a list of games, and they will then be shown a list of objects that they must seek. Once the user finds a correct object and scans it with the built-in camera on the smartphone, the application will attempt to verify if it is the correct object and then display associated multi-media AR content that may include images and videos overlaid on top of real world views. HUNT not only provides entertaining activities within an environment that players can explore, but the AR contents can serve as an educational tool. The project is designed to increase user involvement by using a familiar and enjoyable game as a basis and adding an educational dimension by incorporating AR technology and engaging and interactive multimedia to provide users with facts about the objects that they have located

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