Preparation of Ruthenium and Osmium Carbonyl Complexes Using Microwave Heating: Demonstrating the Use of a Gas-Loading Accessory and Real-Time Reaction Monitoring by Means of a Digital Camera

2008 ◽  
Vol 27 (6) ◽  
pp. 1254-1258 ◽  
Author(s):  
Nicholas E. Leadbeater ◽  
Krista M. Shoemaker
2003 ◽  
Vol 44 (31) ◽  
pp. 5799-5801 ◽  
Author(s):  
Toshiro Suenaga ◽  
Caroline Schutz ◽  
Tadashi Nakata

2019 ◽  
Vol 356 ◽  
pp. 39-45 ◽  
Author(s):  
Daniel I. Herman ◽  
Eleanor M. Waxman ◽  
Gabriel Ycas ◽  
Fabrizio R. Giorgetta ◽  
Nathan R. Newbury ◽  
...  

2008 ◽  
Vol 56 (15) ◽  
pp. 6339-6347 ◽  
Author(s):  
David J. Levy-Booth ◽  
Rachel G. Campbell ◽  
Robert H. Gulden ◽  
Miranda M. Hart ◽  
Jeff R. Powell ◽  
...  

2017 ◽  
Vol 31 (2) ◽  
pp. 247.e1-247.e7 ◽  
Author(s):  
Duck-Hoon Kang ◽  
Soo-Geun Wang ◽  
Hee-June Park ◽  
Jin-Choon Lee ◽  
Gye-Rok Jeon ◽  
...  
Keyword(s):  

2016 ◽  
Vol 1 ◽  
Author(s):  
Gurum Ahmad Pauzi

This article describes the real time instrumentation system to help blindness people for recognize a colour. Colour image captured by the digital camera, and it classified into ten basic colours names (black, brown, cyan, red, orange, yellow, green, blue, magenta, gray and white) by using entropy algorithm. The conclusion of colour classification will be informed to the user in sound or vocal information. This study has used two colour models HSV (hue, saturation and value) and RGB (red, green and blue). The accuracy of Classification using HSV has 90%, and RGB model has 71.5%.


Author(s):  
Seong Jong Ha ◽  
Hyung Il Koo ◽  
Sang Hwa Lee ◽  
Nam Ik Cho ◽  
Soo Kyun Kim
Keyword(s):  

2008 ◽  
Vol 08 (03) ◽  
pp. 455-471 ◽  
Author(s):  
LAURO SNIDARO ◽  
GIAN LUCA FORESTI ◽  
LUCA CHITTARO

In recent years, analysis of human motion has become an increasingly relevant research topic with applications as diverse as animation, virtual reality, security, and advanced human-machine interfaces. In particular, motion capture systems are well known nowadays since they are used in the movie industry. These systems require expensive multi-camera setups or markers to be worn by the user. This paper describes an attempt to provide a markerless low cost and real-time solution for home users. We propose a novel approach for robust detection and tracking of the user's body joints that exploits different algorithms as different sources of information and fuses their estimates with particle filters. This system may be employed for real-time animation of VRML or X3D avatars using an off-the-shelf digital camera and a standard PC.


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