[AISWorld] Contents of IJIIT 11(1) - International Journal of Intelligent Information Technologies

[Vijayan Sugumaran]

The contents of the latest issue of:
International Journal of Intelligent Information Technologies (IJIIT)
Volume 11, Issue 1, January - March 2015
Published: Quarterly in Print and Electronically
ISSN: 1548-3657; EISSN: 1548-3665; 
Published by IGI Global Publishing, Hershey, USA
www.igi-global.com/ijiit
<http://www.igi-global.com/journal/international-journal-intelligent-informa
tion-technologies/1089> 

Editor(s)-in-Chief: Vijayan Sugumaran (Oakland University, USA)

Note: There are no submission or acceptance fees for manuscripts submitted
to the International Journal of Intelligent Information Technologies
(IJIIT). All manuscripts are accepted based on a double-blind peer review
editorial process.

ARTICLE 1

Towards Intelligent Requirements

Robert B.K. Brown (University of Wollongong, Wollongong, Australia), Angela
M.E. Piper (School of Computer Science and Software Engineering, University
of Wollongong, Wollongong, Australia), Ian C. Piper (School of Computer
Science and Software Engineering, University of Wollongong, Wollongong,
Australia)

IT Projects remain challenging to design and build despite improvements and
efficiencies in the detailed-design and construction phases. Extended effort
in early requirements gathering and analysis phases are unpopular at
present, though poor requirements still impacts on IT project success.
Intelligent tools may enhance these early phases but abstraction of the
qualitative and wicked nature of Information Systems design problems
(difficult enough for inexperienced humans) resists automation. An approach
that moves from the concrete 'known' towards the abstract unknown in a
prescriptive manner may be of use. This paper presents and offers the
ATSA:OO methodology as a candidate for consideration as such an approach.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/towards-intelligent-requirements/128836
<http://www.igi-global.com/article/towards-intelligent-requirements/128836> 

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=128836
<http://www.igi-global.com/viewtitlesample.aspx?id=128836> 

ARTICLE 2

Multi-Level Search Space Reduction Framework for Face Image Database

C. Sweetlin Hemalatha (MIT, Anna University, Chennai, India), V. Vaidehi
(MIT, Anna University, Chennai, India), K. Nithya (MIT, Anna University,
Chennai, India), A. Annis Fathima (VIT University, Chennai, India), M.
Visalakshi (MIT, Anna University, Chennai, India), M. Saranya (MIT, Anna
University, Chennai, India)

In face recognition, searching and retrieval of relevant images from a large
database form a major task. Recognition time is greatly related to the
dimensionality of the original data and the number of training samples. This
demands the selection of discriminant features that produce similar results
as the entire set and a reduced search space. To address this issue, a
Multi-Level Search Space Reduction framework for large scale face image
database is proposed. The proposed approach identifies discriminating
features and groups face images sharing similar properties using
feature-weighted Fuzzy C-Means approach. A hierarchical tree model is then
constructed inside every cluster based on the discriminating features which
enables a branch based selection, thereby reducing the search space. The
proposed framework is tested on three benchmark and two self-created
databases. The experimental results show that the proposed method achieved
an average accuracy of 93% and an average search time reduction of 66%
compared to existing approaches for search space reduction of face
recognition.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/multi-level-search-space-reduction-framework-for-
face-image-database/128837
<http://www.igi-global.com/article/multi-level-search-space-reduction-framew
ork-for-face-image-database/128837> 

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=128837
<http://www.igi-global.com/viewtitlesample.aspx?id=128837> 

ARTICLE 3

Filtering Structures for Microblogging Content

Ryadh Dahimene (CNAM, Paris, France), Cedric du Mouza (CNAM, Paris, France)

In the last years, microblogging systems have encountered a large success.
After 7 years of existence Twitter claims more than 271 million active
accounts leading to 500 million tweets per day. Microblogging systems rely
on the all-or-nothing paradigm: a user receives all the posts from an
account s/he follows. A consequence for a user is the risk of flooding,
i.e., the number of posts received from all the accounts s/he follows
implies a time-consuming scan of her/his feed to find relevant updates that
match his interests. To avoid user flooding and to significantly diminish
the number of posts to be delivered by the system, the authors propose to
introduce filtering on top of microblogging systems. Driven by the shape of
the data, the authors designed different filtering structures and compared
them analytically as well as experimentally on a Twitter dataset which
consists of more than 2.1 million users, 15.7 million tweets and 148.5
million publisher-follower relationships.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/filtering-structures-for-microblogging-content/12
8838
<http://www.igi-global.com/article/filtering-structures-for-microblogging-co
ntent/128838> 

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=128838
<http://www.igi-global.com/viewtitlesample.aspx?id=128838> 

ARTICLE 4

A Brownian Agent Model for Analyzing Changes in a Nation's Product Space
Structure

Bin Jiang (College of Computer Science and Electronic Engineering, Hunan
University, Changsha, China & Department of Computational Intelligence and
Systems Science, Tokyo Institute of Technology, Yokohama, Japan), Chao Yang
(Business School, Hunan University, Changsha, China & Department of
Computational Intelligence and Systems Science, Tokyo Institute of
Technology, Yokohama, Japan), Takashi Yamada (Department of Computational
Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama,
Japan), Takao Terano (Department of Computational Intelligence and Systems
Science, Tokyo Institute of Technology, Yokohama, Japan)

This paper proposes a Brownian agent model for simulating and analyzing
changes in a nation's product space structure. A measurement of proximity
has been employed to quantify a relationship between two products and proved
to be useful in product space analysis. This study employs such proximity
measurement, and estimates a continued structure transformation of a
nation's product space through feedback between agent movements and network
evolutions. Labor resources of an enterprise or a firm are regarded as
Brownian agents; they move through different product spaces for higher
economic rewards. The simulation results show that trade areas were
self-organized through Brownian agent migration and cooperative production
with a random initial distribution. Furthermore, we have verified the
applicability and efficiency of the model in analyzing changes in Chinese
product space structure with empirical data. Main contributions of this
paper are: 1) it provides a bottom-up model for analyzing changes of a
nation's product space structure; and 2) it also provides both qualitative
and quantitative analysis methods for a nation's product space structure.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/a-brownian-agent-model-for-analyzing-changes-in-a
-nations-product-space-structure/128839
<http://www.igi-global.com/article/a-brownian-agent-model-for-analyzing-chan
ges-in-a-nations-product-space-structure/128839> 

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=128839
<http://www.igi-global.com/viewtitlesample.aspx?id=128839> 

  _____  

For full copies of the above articles, check for this issue of the
International Journal of Intelligent Information Technologies (IJIIT) in
your institution's library. This journal is also included in the IGI Global
aggregated "InfoSci-Journals" database: www.igi-global.com/isj
<http://www.igi-global.com/e-resources/infosci-databases/infosci-journals/>
.

  _____  

CALL FOR PAPERS

Mission of IJIIT:

The advent of the World Wide Web has sparked renewed interest in the area of
intelligent information technologies. There is a growing interest in
developing intelligent technologies that enable users to accomplish complex
tasks in web-centric environments with relative ease, utilizing such
technologies as intelligent agents, distributed computing in heterogeneous
environments, and computer supported collaborative work. The mission of the
International Journal of Intelligent Information Technologies (IJIIT) is to
bring together researchers in related fields such as information systems,
distributed AI, intelligent agents, and collaborative work, to explore and
discuss various aspects of design and development of intelligent
technologies. This journal provides a forum for academics and practitioners
to explore research issues related to not only the design, implementation
and deployment of intelligent systems and technologies, but also economic
issues and organizational impact. Papers related to all aspects of
intelligent systems including theoretical work on agent and multi-agent
systems as well as case studies offering insights into agent-based problem
solving with empirical or simulation based evidence are welcome.

Indices of IJIIT:

*         ACM Digital Library

*         Australian Business Deans Council (ABDC)

*         Bacon's Media Directory

*         Burrelle's Media Directory

*         Cabell's Directories

*         Compendex (Elsevier Engineering Index)

*         CSA Illumina

*         DBLP

*         DEST Register of Refereed Journals

*         Gale Directory of Publications & Broadcast Media

*         GetCited

*         Google Scholar

*         INSPEC

*         JournalTOCs

*         Library & Information Science Abstracts (LISA)

*         MediaFinder

*         Norwegian Social Science Data Services (NSD)

*         SCOPUS

*         The Index of Information Systems Journals

*         The Standard Periodical Directory

*         Thomson Reuters

*         Ulrich's Periodicals Directory

*         Web of Science

Coverage of IJIIT:

The International Journal of Intelligent Information Technologies (IJIIT)
encourages quality research dealing with (but not limited to) the following
topics: 

*         Agent-based auction, contracting, negotiation, and ecommerce 

*         Agent-based control and supply chain 

*         Agent-based simulation and application integration 

*         Cooperative and collaborative systems 

*         Distributed intelligent systems and technologies 

*         Human-agent interaction and experimental evaluation 

*         Implementation, deployment, diffusion, and organizational impact 

*         Integrating business intelligence from internal and external
sources 

*         Intelligent agent and multi-agent systems in various domains 

*         Intelligent decision support systems 

*         Intelligent information retrieval and business intelligence 

*         Intelligent information systems development using design science
principles 

*         Intelligent Web mining and knowledge discovery systems 

*         Manufacturing information systems 

*         Models, architectures and behavior models for agent-oriented
information systems 

*         Multimedia information processing 

*         Privacy, security, and trust issues 

*         Reasoning, learning and adaptive systems 

*         Semantic Web, Web services, and ontologies

Interested authors should consult the journal's manuscript submission
guidelines
www.igi-global.com/calls-for-papers/international-journal-intelligent-inform
ation-technologies/1089
<http://www.igi-global.com/calls-for-papers/international-journal-intelligen
t-information-technologies/1089>