By Chengjun Zhu, Yuanxin Ouyang, Lei Gao, Zhenyong Chen, Zhang Xiong (auth.), Ernesto Damiani, Kokou Yetongnon, Richard Chbeir, Albert Dipanda (eds.)

This booklet constitutes the completely refereed post-conference lawsuits of the second one foreign convention on on Signal-Image know-how and Internet-Based structures, SITIS 2006, held in Hammamet, Tunisia, in December, 2006.

The 33 complete papers have been conscientiously reviewed and chosen from the easiest papers provided on the convention and are provided in revised and prolonged shape. a part of the papers specialize in the rising modeling, illustration and retrieval innovations that have in mind the volume, variety and variety of data available in allotted computing surroundings. different contributions are dedicated to rising and novel innovations, architectures and methodologies for growing an interconnected global within which details may be exchanged simply, projects may be processed collaboratively, and groups of clients with equally pursuits should be shaped whereas addressing protection threats which are current greater than ever before.

Show description

Read or Download Advanced Internet Based Systems and Applications: Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, Tunisia, December 17-21, 2006, Revised Selected Papers PDF

Best internet books

Your Digital Afterlife: When Facebook, Flickr and Twitter Are Your Estate, What's Your Legacy? (Voices That Matter)

Virtually with out understanding it, we have now shifted towards an all-digital tradition. destiny heirlooms like kinfolk pictures, domestic videos, and private letters now exist merely in electronic shape, and in lots of instances they're kept utilizing well known prone like Flickr, YouTube, and Gmail. those electronic possessions shape a wealthy assortment that chronicles our lives and connects us to one another.

Wired/Wireless Internet Communications: 8th International Conference, WWIC 2010, Luleå, Sweden, June 1-3, 2010. Proceedings

Starting with the 1st occasion in 2002, the overseas convention on stressed out/ instant net Communications (WWIC) has regularly been demonstrated as a hugely selective convention targeting integration and co-existence of swiftly dev- oping instant community applied sciences and their purposes relating to the net.

The Internet of Things: Connecting Objects to the Web

Net of items: Connecting items… places ahead the applied sciences and the networking architectures which give the opportunity to help the web of items. among those applied sciences, RFID, sensor and PLC applied sciences are defined and a transparent view on how they allow the net of items is given.

Wiederverwendung von Softwarekomponenten im Internet

Durch die Schnelllebigkeit des Softwaremarktes tritt für Softwarehersteller das challenge auf, für ihre Entwicklungen geeignete wieder verwendbare Softwarekomponenten ausfindig zu machen. Dabei bieten Internet-Technologien neue Möglichkeiten zu firmenübergreifenden Kooperationen bei der Wiederverwendung von Softwarekomponenten.

Additional resources for Advanced Internet Based Systems and Applications: Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, Tunisia, December 17-21, 2006, Revised Selected Papers

Example text

In other words, a fuzzy entity verifies only (partially) some extent properties (see below) of its class. A fuzzy class K in E is a collection of fuzzy entities: K = {(e, μK (e)) : e ∈ E ∧ μK (e) > 0}. m) of the fuzzy entity e in the fuzzy class K. Membership function μK maps the elements of E to the range [0, 1] where 0 implies no-membership and 1 implies full membership. A value between 0 and 1 indicates the extent to which entity e can be considered as an element of fuzzy class K. A fuzzy class is a collection of fuzzy entities having some similar properties.

A fuzzy entity e in E is a natural or artificial entity that one or several of its properties are fuzzy. In other words, a fuzzy entity verifies only (partially) some extent properties (see below) of its class. A fuzzy class K in E is a collection of fuzzy entities: K = {(e, μK (e)) : e ∈ E ∧ μK (e) > 0}. m) of the fuzzy entity e in the fuzzy class K. Membership function μK maps the elements of E to the range [0, 1] where 0 implies no-membership and 1 implies full membership. A value between 0 and 1 indicates the extent to which entity e can be considered as an element of fuzzy class K.

Here we use the weights to specify the importance of each feature. If the similarity of the two features between the example clip and a segment is less than a threshold T, return the id of this segment. The similarity based on the two features is calculated as follows. First the similarity of each feature is calculated and normalized respectively. And then the similarities of the two features are summed up with weights to calculate the final similarity. Using the function-based approach, the above query is as follows.

Download PDF sample

Rated 4.48 of 5 – based on 40 votes