[AISWorld] Contents of International Journal of Intelligent Information Technologies (IJIIT) - Vol. 12, No. 4

[Vijayan Sugumaran]

The contents of the latest issue of:
International Journal of Intelligent Information Technologies (IJIIT)
Volume 12, Issue 4, October - December 2016
Indexed by: Compendex (Elsevier Engineering Index), INSPEC, SCOPUS
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-in-Chief: Vijayan Sugumaran (Oakland University, USA)

Note: The International Journal of Intelligent Information Technologies
(IJIIT) has an Open Access option, which allows individuals and institutions
unrestricted access to its published content. Unlike traditional
subscription-based publishing models, open access content is available
without having to purchase or subscribe to the journal in which the content
is published. All IGI Global manuscripts are accepted based on a
double-blind peer review editorial process.

ARTICLE 1

Mapping Mobile Statechart Diagrams to the p-Calculus using Graph
Transformation: An Approach for Modeling, Simulation and Verification of
Mobile Agent-based Software Systems

Aissam Belghiat (University Constantine 2 Abdelhamid Mehri, Constantine,
Algeria), Allaoua Chaoui (MISC Laboratory, Department of Computer Science
and its Applications, University Constantine 2 Abdelhamid Mehri,
Constantine, Algeria)

Mobile UML (M-UML) has been proposed as an extension of UML to model mobile
agent-based software systems. As UML, M-UML suffers from lack of formal
semantics due to its semi-formal nature which penalize the verification of
correct behavior of the modeled systems. This paper provides a graphical yet
formal approach for the modeling, simulation and verification of mobile
statechart diagrams using graph transformations in the AToM3 tool. The
authors have firstly proposed meta-models for mobile statechart diagram and
flowgraph. Then, a twofold graph grammar is developed for the automatic
mapping of mo-bile statechart diagrams into flowgraphs and in the same time
generates the cor-responding p-calculus specification. This graph grammar
enables either execu-tion through simulation by flowgraphs or verification
through model checking, using existing tools (e.g. the Mobility Workbench,
MWB). An illustrative example of the authors' approach is provided.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/mapping-mobile-statechart-diagrams-to-the--calcul
us-using-graph-transformation/171438
<http://www.igi-global.com/article/mapping-mobile-statechart-diagrams-to-the
--calculus-using-graph-transformation/171438> 

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=171438
<http://www.igi-global.com/viewtitlesample.aspx?id=171438> 

ARTICLE 2

Recognition of Chemical Entities using Pattern Matching and Functional Group
Classification

R. Hema (Anna University, Chennai, India), T. V. Geetha (Anna University,
Chennai, India)

The two main challenges in chemical entity recognition are: (i) New chemical
compounds are constantly being synthesized infinitely. (ii) High ambiguity
in chemical representation in which a chemical entity is being described by
different nomenclatures. Therefore, the identification and maintenance of
chemical terminologies is a tough task. Since most of the existing text
mining methods followed the term-based approaches, the problems of polysemy
and synonymy came into the picture. So, a Named Entity Recognition (NER)
system based on pattern matching in chemical domain is developed to extract
the chemical entities from chemical documents. The Tf-idf and PMI
association measures are used to filter out the non-chemical terms. The
F-score of 92.19% is achieved for chemical NER. This proposed method is
compared with the baseline method and other existing approaches. As the
final step, the filtered chemical entities are classified into sixteen
functional groups. The classification is done using SVM One against All
multiclass classification approach and achieved the accuracy of 87%. One-way
ANOVA is used to test the quality of pattern matching method with the other
existing chemical NER methods.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/recognition-of-chemical-entities-using-pattern-ma
tching-and-functional-group-classification/171439
<http://www.igi-global.com/article/recognition-of-chemical-entities-using-pa
ttern-matching-and-functional-group-classification/171439> 

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=171439
<http://www.igi-global.com/viewtitlesample.aspx?id=171439> 

ARTICLE 3

An Intelligent Traffic Engineering Method over Software Defined Networks for
Video Surveillance Systems Based on Artificial Bee Colony

Reza Mohammadi (Shiraz University of Technology, Shiraz, Iran), Reza Javidan
(Shiraz University of Technology, Shiraz, Iran)

In applications such as video surveillance systems, cameras transmit video
data streams through network in which quality of received video should be
assured. Traditional IP based networks cannot guarantee the required Quality
of Service (QoS) for such applications. Nowadays, Software Defined Network
(SDN) is a popular technology, which assists network management using
computer programs. In this paper, a new SDN-based video surveillance system
infrastructure is proposed to apply desire traffic engineering for practical
video surveillance applications. To keep the quality of received videos
adaptively, usually Constraint Shortest Path (CSP) problem is used which is
a NP-complete problem. Hence, heuristic algorithms are suitable candidate
for solving such problem. This paper models streaming video data on a
surveillance system as a CSP problem, and proposes an artificial bee colony
(ABC) algorithm to find optimal solution to manage the network adaptively
and guarantee the required QoS. The simulation results show the
effectiveness of the proposed method in terms of QoS metrics.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/an-intelligent-traffic-engineering-method-over-so
ftware-defined-networks-for-video-surveillance-systems-based-on-artificial-b
ee-colony/171440
<http://www.igi-global.com/article/an-intelligent-traffic-engineering-method
-over-software-defined-networks-for-video-surveillance-systems-based-on-arti
ficial-bee-colony/171440> 

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=171440
<http://www.igi-global.com/viewtitlesample.aspx?id=171440> 

ARTICLE 4

Efficient Identification of Structural Relationships for XML Queries using
Secure Labeling Schemes

S. Sankari (Anna University, Chennai, India), S. Bose (Anna University,
Chennai, India)

XML emerged as a de-facto standard for data representation and information
exchange over the World Wide Web. By utilizing document object model (DOM),
XML document can be viewed as XML DOM tree. Nodes of an XML tree are labeled
to uniquely identify every node by following a labeling scheme. This paper
proposes a method to efficiently identify the two structural relationships
namely document order (DO) and sibling relationship that exist between the
XML nodes using two secure labeling schemes specifically enhanced Dewey
coding (EDC) and secure Dewey coding (SDC). These structural relationships
influence the performance of XML queries so they need to be identified in
efficient time. This paper implements the method to identify DO and sibling
relationship using EDC and SDC labels for various real-time XML documents.
Experiment results show the identification of DO and sibling relationship
using SDC labels performs better than EDC labels for processing XML queries.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/efficient-identification-of-structural-relationsh
ips-for-xml-queries-using-secure-labeling-schemes/171441
<http://www.igi-global.com/article/efficient-identification-of-structural-re
lationships-for-xml-queries-using-secure-labeling-schemes/171441> 

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=171441
<http://www.igi-global.com/viewtitlesample.aspx?id=171441> 

  _____  

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
*	Ulrich's Periodicals Directory
*	Web of Science Emerging Sources Citation Index (ESCI)

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> 

=========================================

Vijayan Sugumaran, Ph.D.

Professor of Management Information Systems

Chair, Department of Decision and Information Sciences

School of Business Administration

Oakland University

Rochester, MI 48309

Phone: 248-370-4649

Fax: 248-370-4275

Email: sugumara at oakland.edu <mailto:sugumara at oakland.edu> 

=========================================