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Title of the Paper: Iris Recognition Based on
Multialgorithmic Fusion
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Authors: Fenghua Wang, Jiuqiang
Han, Xianghua Yao
Abstract: Fusion of multiple algorithms for biometric verification
performance improvement has received considerable attention. This paper
proposes an iris recognition method based on multialgorithmic fusion. The
proposed method combines the phase information based algorithm and
zero-crossing representation based algorithm at the matching score level.
The fusion rule based on support vector machine (SVM) is applied to generate
a fused score which is used to make the final decision. The experimental
results on CASIA and UBIRIS iris image databases show that the proposed
multialgorithmic fusion method can bring obvious performance improvement
compared with any single algorithm, and the results also demonstrate that
the fusion rule based on SVM can achieve better performance than
conventional l fusion rules.
Keywords:
Biometrics, iris, multialgorithmic fusion, fusion rule, support vector machine,
score level
Title of the Paper: Web-based Laboratory Network
Management System that Integrates Multiple Servers
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Authors:Takao Shimomura, Quan Liang
Chen, Nhor SokLang, Kenji Ikeda
Abstract: There are some tools that help system administrators administer
machines and networks using graphical user interface and Web interface. This
paper presents a Web-based system that automates some processes to connect
machines to a network, create accounts, mount remote home directories, set
mailing lists, and so on by cooperating with multiple servers, and describes
its implementation. By introducing this novel system, a lot of task has been
reduced compared with the conventional administrative tasks, and it has
become easier for users to create and change their own accounts and connect
their machines to the network without login. Keywords:
Account,
Administration, AJAX, Network, Web
Title of the Paper: Uniform Tag-based Rich
Component Generation for Web
Application Development
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Authors: Quan Liang Chen, Takao
Shimomura, Nhor Sok Lang, Kenji Ikeda
Abstract: A variety of rich client technologies such as Flash, Flex,
OpenLaszlo, JavaScript, AJAX, and Applet have been employed to develop Web
applications. They can display flexible and powerful graphical user
interface inWeb pages and excel the original functions ofWeb browsers that
display HTML documents. This paper presents a rich-component definition
method that enables programmers to easily write Web pages that contain rich
components, regardless of the types of rich clients. This separates Web
programming from Web page design, and we can share Web application
development with other developers.
Keywords: Flex, javascript, rich component,
uniform tag, web applications
Title of the Paper:
Customizable Pattern-Oriented Verifiers forWeb
Applications
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Authors:Nhor Sok Lang, Takao Shimomura, Quan Liang Chen, Kenji Ikeda
Abstract: This paper presents a method that enables programmers to easily define and customize verification items
for Web applications. In this method, we first specify verification conditions using regular expressions to indicate
a part of code of interest, and if it is against a verification item, this method provides a mechanism to automatically
correct that code using another expression. In addition, to make it possible to easily define complicated verification
items that check a sequence of the pieces of program code that appear at multiple locations of the programs, the
method provides several program interfaces with which we can check the part of the program code of interest in
more detail.
Keywords:
Customizable verifier, Regular expression, Verification, Web applications
Title of the Paper: A Growing Network Model with High Hub Connectivity
and Tunable Clustering Coefficient
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Authors:Yihjia Tsai, Ping-Nan Hsiao
Abstract: The paper investigates a model for social network based on a growing network. The model we
propose can fit the following two basic properties: (1) ‘scale-free property’ which has power law degree
distribution, and (2) ‘small-world property’ which has high clustering coefficient. In addition, the model is
modified for high hub connectivity which is a new concept in scale-free network. This study also provided an
analysis of empirical data.
Keywords:
Social network model, growing network, scale-free, small-world, complex network.
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