Cookie Control

This site uses cookies to store information on your computer.

Some cookies on this site are essential, and the site won't work as expected without them. These cookies are set when you submit a form, login or interact with the site by doing something that goes beyond clicking on simple links.

By using our site you accept the terms of our Privacy Policy.

(One cookie will be set to store your preference)
(Ticking this sets a cookie to hide this popup if you then hit close. This will not store any personal information)

About this tool

About Cookie Control

You are here

Historical Interest Only

This is a static HTML version of an old Drupal site. The site is no longer maintained and could be deleted at any point. It is only here for historical interest.

Publications

Export 674 results:
Filters: Author is Liangxiu Han  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
C
L. Han and Suo, C., The characterizing network traffic based on the wavelet technique, Journal of Mini-Micro Computer System, vol. 22, no. 9, p. 1110~ 1114, 2001.
I. Dedinski, De Meer, H., Han, L., Mathy, L., Pezaros, D., P., Sventek, J. S., and Xiaoying, Z., Cross-Layer Peer-to-Peer Traffic Identification and Optimization Based on Active Networking, in 7th International Working Conference on Active and Programmable Networks, Sophia Antipolis, French Riviera, La Cote d'Azur, France, November 21-23, 2005., 2005.
D
M. P. Atkinson, van Hemert, J., Han, L., Hume, A., and Liew, C. S., A Distributed Architecture for Data Mining and Integration, in Data-Aware Distributed Computing (DADC'09), in conjunction with the 18th International Symposium on High Performance Distributed Computing, 2009, pp. 11-20.
C. Suo and Han, L., The DWMM network traffic model, Journal of Communication, vol. 24, no. 5, p. 43~48, 2003.
E
L. Han, Exploiting P2P and Grid Computing Technologies for Resource Sharing to support High Performance Distributed System, in Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications , vol. 1, 2 vol., N. Antonopoulos, Exarchakos, G., Li, M., and Liottac, A., Eds. IGI Global publishing, 2010.
F
G. Yaikhom, Liew, C., Han, L., van Hemert, J., Atkinson, M., and Krause, A., Federated Enactment of Workflow Patterns, Lecture Notes in Computer Science, vol. 6271. Springer Berlin / Heidelberg, pp. 317-328, 2010.
N
L. Han, yan Liu,, and Cen, Z., A network traffic model based on the cascade process, Journal of Mini-Micro Computer System, vol. 23, no. 12, p. 1483~1485, 2002.
L. Han, Han, L., and zengdian Liu, Neural network applied to the prediction of the failure stress for pressurized cylinders containing defects, International Journal of Pressure Vessels and Piping, vol. 76, no. 4, p. pp 215~219, 1999.
L. Han, Ceng, Z., and Gao, C., A new multifractal network traffic model, Journal of Chaos, solitons & fractals , vol. 13, no. 7, p. 1507~1513, 2002.
C. Gao and Han, L., A new multifractal traffic model based on the wavelet transform, in ISCA 14th International Conference on Parallel and Distributed Computing systems, Texas, USA, 2001, pp. 157-162.
L. Han and Hemert, J., A novel visual discriminator on network traffic pattern, in The Second International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2008), Valencia, Spain, 2008, pp. 141-146.
T
L. Han, Asenov, A., Berry, D., Millar, C., Roy, G., Roy, S., Sinnott, R., and Stewart, G., Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics, in 3rd IEEE International Conference on eScience and Grid Computing, Bangalore, India , 2007.
C. S. Liew, Atkinson, M. P., van Hemert, J., and Han, L., Towards Optimising Distributed Data Streaming Graphs using Parallel Streams, in Data Intensive Distributed Computing (DIDC'10), in conjunction with the 19th International Symposium on High Performance Distributed Computing, Chicago, Illinois, 2010, pp. 725-736.
U
J. Fernández, Han, L., Nuñez, A., Carretero, J., and van Hemert, J., Using architectural simulation models to aid the design of data intensive application, in The Third International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2009), Sliema, Malta, 2009, p. 163--168.

Pages