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Issue 1, Volume 8,
January 2011
Title
of the Paper:
Investigating the Impacts of RFID Application on Supply Chain Dynamics with
Chaos Theory
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Authors:
Chien-Yuan Su, Jinsheng Roan
Abstract: Radio Frequency Identification is regarded as the most cutting edge
technology for the optimization of supply chain processes in recent years.
Researchers of supply chain management have often suggested that the
measurement of RFID benefits is very important. This research investigated how
the different levels of a multi-level supply chain dynamically behave under
the impacts of RFID application and offer insights into how to manage relevant
supply chain factors to eliminate supply chain uncertainty. The study involved
the simulation model to characterize the supply chain with the conventional
beer distribution model and some modifications. We observed the supply chain
dynamics under the influence of various factors: demand pattern, demand
information sharing, lead time, and the degree of RFID application through the
Lyapunov exponent calculating. Results of this study showed that the
adjustment parameters for both inventory and supply line discrepancies, RFID
application, and lead time are critical factors to influence the supply chain
dynamics. To conclude, this research may be of importance in explaining the
effects of RFID application and dynamic relationship between supply chain
factors and the effective inventory, as well as in providing supply chain
managers with an effective supply chain management and strategy of the
investment of RFID technology.
Keywords: Supply chain management; RFID; Chaos theory; Lyapunov
exponent; Beer distribution model
Title
of the Paper:
Using Geographical Information System for Implementing Resettlement Strategies
in Mining Areas in Kosovo
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Authors:
Murat Meha, Blerim Rexha, Ismet Shala, Bedri Dragusha
Abstract: In this paper is presented a modern approach for developing and
implementing resettlement strategy in mining areas in Kosovo using Geographic
Information System. The main aim of such Geographic Information System is to
digitally represent various geographical collected data linked to location.
The geological map of Kosovo was analogous until year 2000. The lack of a
modern information system about miming and settlement areas was deemed as one
of the obstacles or difficulties faced by investment decision-makers. The
property issues are considered to be directly related with expropriation.
Properties registered in the register of rights over immovable property may
not be deregistered for any purpose except for public needs. The developed
information system will support the calculation of social impacts on the
settlements in mining areas and will provide data visualization that will help
when creating perceptions regarding mineral source utilization. The full local
development benefits of mining can only effectively be realized if local
settlement members support and understand mining activities. The most affected
area is Kosovo coal basin, which has a surface about 270 km2 and about 44.021
inhabitants with many public, cult, business and industrial buildings. The
final graphical and textual data is prepared in shape file stored in data
base, which offers the possibility of usage by many geographic information
systems. This software application is developed using latest ASP.NET platform,
C as programming language and Microsoft SQL as database server. It shall
server as unique tool for governmental decision makers and to contribute
inputs to future policy and management decision-making in the mining and
spatial sector.
Keywords: Database, Expropriations, Property, Geographic Information
Systems, Minerals
Title
of the Paper:
A GA Based Approach to Improving the ICA Based Classification Models for Tumor
Classification
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Authors:
Jian-Bing Xia-Hou, Kun-Hong Liu
Abstract: As it has been pointed out that different ICs are of different
biological significance, this paper tries to explore the IC selection problem
based on a set of experiments. A regression model and a classification model,
referred as penalized independent component regression (P-ICR) and ICA based
Support Vector Machine (ICA+SVM), are applied to illustrate the necessity and
efficiency of IC selection. A genetic algorithm (GA) is deployed to the
selection process, along with an early stopping technique deployed to avoid
overfitting in evolution. In particular, the individuals in the selected
generation are used to construct an ensemble system to achieve higher
classification accuracy. We test the two models with and without the selection
methods based on three microarray datasets. The experiment results demonstrate
that IC selection methods can further improve the classification accuracy of
the ICA based prediction models, and the GA is more effective than the
original methods.
Keywords: Microarray data, Independent component analysis (ICA),
Genetic algorithm (GA), Early stopping, Support Vector Machine(SVM),
Overfitting
Title
of the Paper:
Design of SOA Integration for 3C Distribution Channel
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Authors:
Ying-Hong Wang, Jingo Chenghorng Liao
Abstract: In today’s market, peer competition is getting vigorous and
distribution channel has become the key for enterprises to obtain competitive
advantage and bargaining power. In the global competition business
environment, market and demand is changing everyday, company’s distribution
channel strategy must be agile enough to adopt change, while effective
management of distribution channel is an important key for enterprises
success. For many years, the development of business application is getting
huge and complicated. Meanwhile, the system maintenance cost is getting
higher. In addition, today’s variable business environment is continuously
testing software’s lifecycle of these applications. In the keep changing
business market, emerging technology and design model both enhance software
development scale, and make it more complicated. This paper is aiming on rapid
response on market demand and integrating of enterprise’s business process in
global economy competition environment, meanwhile, flexibly adjust business
rule to meet key ability of enterprise development. This paper proposes the
standard specification of this blueprint, to enable every system in 3C Channel
Distributor can support each other well. To formulate reliable component
interfaces, we can deploy dynamically to achieve a better flexible SOA system.
This paper also explains the integration bottleneck and difficulty of
enterprise internal heterogeneous system and supplier’s heterogeneous data, in
addition to solve problem and increase system agility to enable developers
easily maintain system. We expect adopting SOA can increase enterprise and its
supplier’s operating incoming and cost down.
Keywords: SOA, Web Services, MDA, Legacy System, Business Process
Integration
Issue 2, Volume 8,
February 2011
Title
of the Paper:
Developing Electricity Forecast Web Tool for Kosovo Market
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Authors:
Blerim Rexha, Arben Ahmeti, Lule Ahmedi, Vjollca Komoni
Abstract: In this paper is presented a web tool for electricity forecast for
Kosovo market for the upcoming ten years. The input data i.e. electricity
generation capacities, demand and consume are taken from the document “Kosovo
Energy Strategy 2009-2018” compiled by Ministry of Energy of Kosovo and
approved by the Kosovo Assembly. The web tool enables different settings for
national electricity grid, divided in seven electricity consume regions, five
interconnection lines and using domestic generation capacities, using existing
power plants and those planed to be built until 2018. It enables different
scenarios, such as increasing/decreasing electricity demand in different
regions, energy import/export and increasing/decreasing generation capacities.
The developed web tool was tested especially against boundary condition such
as heavy increased/decreased energy consumption, i.e. beyond the planned
economic growth of the country and the delay of starting time of new
generation capacities. For these boundary conditions are proposed extra
measures to be considered in order to fulfill the security of energy supply
criteria. This web application is developed using latest ASP.NET platform, C
as programming language and Microsoft SQL as database server. The web tool
shall server as unique tool for governmental decision makers and to contribute
inputs to future policy and management decision-making in the energy sector.
Keywords: Electricity Forecast, Simulation, Database, Internet, .NET,
Web
Title
of the Paper:
Delay Coerced Multi Constrained Quality of Service Routing Algorithm
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Authors:
P. S. Prakash, S. Selvan
Abstract: IP networks are evolving from data communication infrastructure into
many tight-constraint applications such as video conferencing, IP telephony
and require stringent Quality-of-Service (QoS) requirements. A rudimentary
issue in QoS routing is to find a path between source-destination pair that
satisfies two or more end-to-end constraints. A difficulty in multi
constrained routing is that it is intractable. In this context, a multi
constrained QoS routing algorithm, Delay Coerced Multi Constrained Routing
(DCMCR) is proposed. It approximates (K-1) constraints while coercing one of
the constraints. DCMCR is (1+α) (K-1) approximation algorithm and it finds a
feasible solution whose first path weight is bound by the first constraint and
approximating remaining (K-1) constraints. The proposed algorithm is applied
where one of the constraints is strictly satisfied and it performs well by
choosing appropriate values of α and constraint bounds. The variety of
experimental validations is carried out on different scenario to analyze the
performance of the proposed scheme.
Keywords: QoS routing, coerce, multi constraint, approximation
algorithm, Additive, Intractable
Title
of the Paper:
Optimized Multi Constrained Path Quality of Service Routing Protocol
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Authors:
P. S. Prakash, S. Selvan
Abstract: One of the key issues in providing Quality-of-Service (QoS)
guarantees in packet networks is how to determine a feasible path that
satisfies a set of additive constraint. Finding a path subject to multiple
additive constraints is intractable. In this paper a distributed Optimized
Multi Constrained Routing (OMCR) protocol is proposed that computes feasible
paths at each node and routes the packets based on their destinations address.
OMCR performs connectionless, hop-by-hop Internet Protocol routing and need
not remember the global state of the network. It makes routing decision
independently and therefore has the ability to respond to network dynamics
swiftly. The volume of update messages are reduced significantly by using
vector transform method and formation of loops reduced by addressing
count-to-infinity issues effectively. OMCR protocol outperforms shortest path
routing protocols both link-state and distance vector in terms of convergence
time, success ratio and message overhead.
Keywords: Quality-of-Service, Constrained path, Additive, Routing,
Distance vector, Intractable
Title
of the Paper:
TM: A Development Technique for E-Government 2.0 Portals
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Authors:
Faras Zuheir Mustafa Mohamed, Saravanan S. Muthaiyah, Arman K. Nassirtoussi
Abstract: The purpose of this paper is to introduce the software community to
TM (Total Mashup): a conceptual software development technique for building
and developing e-government 2.0 portals as total mashups. The range of current
development approaches and technologies are compared and a particular
conceptual development technique with a specific set of technologies is
proposed to be instrumental to the development process of e-government 2.0
portals. TM is tested via a real-life prototype that targets the government
research community. The outputs of the prototype are discussed and analyzed.
TM has various added advantages to the conventional development processes in
terms of time efficiency and collaboration. It is a unique technique to
enhancing the e-government 2.0 portals development process.
Keywords: E-government 2.0, Web 2.0, portal, mashup, Java, and API
Title
of the Paper:
Sprague Dawley Rat Sperm Classification Using Hybrid Multilayered Perceptron
Network
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Authors:
Mohd Fauzi Alias, Nor Ashidi Mat Isa, Siti Amrah Sulaiman, Mahanem Mohamed
Abstract: As of now, the analysis of sperm such as counting and detection
processes are still operated manually which tends to produce errors. False
detection in sperm analysis must be minimized as possible. Therefore, the
current study focuses on developing a Sprague Dawley rat sperm classification
system to assist the detection process by pathologist. The system has the
ability to classify the Sprague Dawley rat sperm into two classes namely
normal and abnormal based on the morphological characteristic of sperm’s head.
The proposed system employs the Hybrid Multilayered Perceptron (HMLP) neural
network trained with the Modified Recursive Prediction Error (MRPE) algorithm
as the intelligent classifier tool. This study will also investigate three
significant morphological characteristics of rat sperm’s head namely opened
degree, width of the curve and template matching percentage as the input data
for the HMLP network. Furthermore, this study urther classifies the abnormal
sperm into hookless and banana shape. Promising result with 100% and 94.62% of
accuracy has been achieved for two classes and three classes classification of
rat sperm respectively.
Keywords: HMLP, MRPE, Sprague Dawley rat, Opened degree, Width of the
curve, Matching percentage
Issue 3, Volume 8,
March 2011
Title
of the Paper:
Economic Information Systems for Small and Medium Businesses and Evaluation of
Return
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Authors:
Renata Myskova
Abstract: From manager’s viewpoint, the most fundamental requirement in the
process of information gathering is simple and quick information obtaining
process. That implies technically stated requirement – information system has
to be technically capable of providing information in optimal rate, in the
fastest and the safest possible manner. Next criterion stems from the
structure of users, because their IT literacy and abilities in the area of
computer technology can present a certain limitation of up-to-date
technologies usage. Decision of implementation of new information system is,
therefore, a problem including not only technical, economic, but also human
aspects. The aim of this article is to describe valuation of return rate of
information system used in practice and to present the valuation on an
example. Further, analysis of ERP systems offered in the Czech Republic to
small and middle-sized businesses is performed with relationship to managers’
requirements.
Keywords: Economic Information System, Requirement for Information
System, Return of Investment
Title
of the Paper:
A Hybrid Approach to Continuous Valued Datasets Classifying based on Particle
Swarm Optimization, Variable Precision Rough Set Theory and Modified
Huang-index Function
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Authors:
Kuang Yu Huang
Abstract: This paper proposed a new hybrid method, designated as PSOVPRS-index
method, for partitioning and classifying continuous valued datasets based on
particle swarm optimization (PSO) algorithm, Variable Precision Rough Set
(VPRS) theory and a modified form of the Huang-index function. In contrast to
the Huang-based index method which simply assigns a constant number of
clusters to each attribute and in which the Rough Set (RS) theory is applied,
this method could not only cluster the values of the individual attributes
within the dataset and achieves both the optimal number of clusters and the
optimal classification accuracy, but also extends the applicability of
classification using VPRS theory. The validity of the proposed approach is
investigated by comparing the classification results obtained for a real-world
dataset containing stock market information with those obtained by PSORS-index
method and pseudo-supervised decision-tree classification method. There is
good evidence to show that the proposed PSOVPRS-index method not only has a
better classification performance than the considered methods, but also
achieves a more reliable basis for the extraction of decision-making rules.
Keywords: Particle Swarm Optimization, Variable Precision Rough Set
theory, PSOVPRS-index method, classification, discretization,
pseudo-supervised classification method
Title
of the Paper:
A Qualitative Study of Swedish University Students' Perceptions and
Experiences of Using Digital Media in Informal Learning
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Authors:
Alimohammad Aghazamani
Abstract: Background: Emergence of new capacities on information and
communication technology have influenced educational activities of learners,
in particular University students toward non-formal learning practices by
using a various type of tools. A grounded theory approach was undertaken for
this research. Purposive sampling and semi structured interviews were carried
out with sample of 48 students in various majors in Faculty of Economy and
Communication at Karlstad University in Sweden during the period January-June,
2010. Fifty six sessions of interviews were carried out. The data were
analyzed using constant comparative analysis. Six main themes emerging from
this study included “Individual interests”, “Social motivations”,”
Professional views”, ”General tools”, “Virtual communities” and “Professional
digital tools”. A theoretical model was designed to represent the
interrelationships between these six categories. The result of data analysis
reveals that the students enable to address their learning needs via digital
media in order to gain a large extent of information easily; they turn to more
interactive educational activities based on digital means, such as using
virtual and blogging communities, wikis and searching multimedia data on the
internet. Limitations and implications for future research are discussed.
Keywords: Informal learning, digital media, virtual communities, ICT,
formal learning
Issue 4, Volume 8
April 2011
Title
of the Paper:
Efficient Lower Bounding Procedures with Application in the Allocation of
Virtual Machines to Data Centers
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Authors:
Jurgen Rietz, Rita Macedo, Claudio Alves, Jose Valerio De Carvalho
Abstract: Cloud computing is becoming an alternative model for delivering
computing resources and services to endusers and companies. The configuration
of the clouds raises many issues that come from the need to manage efficiently
the available resources in the data centers and from the agreements on the
quality of the service that must be delivered to the clients. One of the key
issues in the operation of the clouds consists in determining how the workload
should be distributed among the physical machines such that the utilization of
the computing resources in the cloud computing data centers is maximized. In
this paper, we address this latter problem. We describe in particular a set of
new and fast procedures for computing lower bounds on the number of physical
machines that are required by a cloud provider to execute efficiently a set of
user applications (virtual machines). To compute the bounds, we formulate this
virtual machine allocation problem as a bin-packing problem and we address
some of its variants. All our lower bounding procedures are polynomial-time
algorithms that rely on the use of maximal dual-feasible functions. These
functions are parameter dependent. We describe the best set of parameters when
the 1-dimensional variant of the problem is considered, and we discuss the
complexity of the lower bounding procedures that are proposed. We report also
on extensive computational experiments conducted on benchmark instances of the
literature. The results of these experiments show the strength of the lower
bounds described in this paper.
Keywords: Combinatorial optimization, Lower bounds, Maximal
dual-feasible functions, Polynomial complexity, Virtual machine allocation
problem, cloud computing
Title
of the Paper:
Advances in Fuzzy Temporal Relational Databases: A Review
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Authors:
Nadeem Mahmood, Aqil Burney
Abstract: This paper investigates the need for the development of
fuzzy-temporal relational database model (FTRDM) and investigates some
important and necessary issues and concepts for the development of such model.
This paper highlights the importance of building temporal ontology for
database application in the relational environment. The main emphasis is on
the conceptual framework and paper presents important contributions made by
the researchers in developing temporal relational models and temporal query
languages. Most of the real world applications involve imprecise and uncertain
data and fuzzy set theory has been extensively used by the researchers for the
management of fuzzy (non-crisp) data in relational database environment. We
propose the guideline for the representing imprecise and vague information
concepts in a conceptual data model. The significant contributions in this
area are also explored. Fuzzy data has its own dynamics and time has its own
complexity, which leads to fuzzy-temporal or temporal-fuzzy models. This paper
presents the methodology and concepts pertaining to the development of fuzzy
and fuzzy temporal query language and surveyed the important contributions in
this direction.
Keywords: Temporal ontology, temporal relational model, imprecise data,
fuzzy set theory, fuzzy-temporal model, fuzzy-temporal query language
Title
of the Paper:
Radar HRRP Recognition Based on Discriminant Information Analysis
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Authors:
Jiansheng Fu, Xiaohong Deng, Wanlin Yang
Abstract: In radar HRRP target recognition, the quality and quantity of
Discriminant Information (DI), which one is more important? Accompanied with
this issue, the paper proceeds to delve into DI analysis, and accordingly,
three fundamental DI extraction models are proposed, i.e., PGA, PIB and AIB.
Among these models, PIB and AIB both aim to obtain Between-class DI (B-DI)
from individual standpoints while PGA obtains Among-class DI (A-DI) from a
general viewpoint; PGA and PIB are both used for passive recognition while AIB
for active recognition. In order to externalize these models, we conduct
Generalized Discriminant Analysis (GDA) into them, and two GDA variations come
forth, i.e., PIB-based GDA (PIB-GDA) and AIBbased GDA (AIB-GDA). Theoretical
analyses and experimental results indicate as follows. Firstly, although PGA
prevails in pattern recognition, but the implementation prospect is hardly
optimistic on account of the weak anti-fading ability of A-DI. Compared with
PGA, PIB and AIB are both more suitable to multi-class discrimination due to
the relative stability of B-DI. Secondly, in general, PIB-GDA is inferior to
AIB-GDA but superior to GDA to many challenges, such as computational
efficiency, target quantity, aspect and sample variation, noise disturbance,
etc.
Keywords: Discriminant information, feature extraction, target
recognition, generalized discriminant analysis
Issue 5, Volume 8,
May 2011
Title
of the Paper:
Survey Software: A Data Collection Tool Based on the Principles of the
Decision Board Analysis
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Authors:
Nageen Mustafa, Paul Kingston, Kamran Ahsan
Abstract: In 2002 the Criminal Records Bureau (CRB) was established in the
United Kingdom to help ensure safer recruitment decisions could be made for
posts involving vulnerable persons. Specifically, the CRB may be utilised to
facilitate safer recruitment decision-making practices by providing employers
with wider access to an applicant’s criminal record information through a
disclosure service. The disclosure service consists of both standard and
enhanced checks, giving details of an applicant’s personal and criminal record
information. However, how these checks are impacting upon recruitment
decisions is yet to be examined. In order to identify how recruitment
decisions are being made based upon CRB information, a computerised data
collection tool based on the Decision Board Analysis Technique (DBA) entitled
Survey Software Version 5 has been created. This software has the ability to
administer a series of questionnaires and surveys. In doing so, data is
simultaneously recorded, sorted and processed at the time of input. Databases,
files, reports and forms are incorporated within the program, expanding its
functionality. Further, an in-built security system, including a password
protected interface, helps to ensure that all information that is entered into
the software can be kept confidential. The focus of this paper is to explore
the creation of Survey Software Version 5 as a tool in data collection
surrounding the information utilised in the recruitment decision-making
process.
Keywords: Criminal Records Bureau, Decision-Making, Data Collection,
Computerised Survey Software, vulnerability
Title
of the Paper:
Multimodal Mood-based Annotation
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Authors:
Barbara Rita Barricelli, Mario Malcangi, Piero Mussio
Abstract: The paper presents an architecture for multimodal mood-based
annotation systems. The architecture aims at the implementation of interactive
multimodal systems to support communities of users in the creation and
management of annotations in locative media projects. The annotations are
multimodal in that they can be created and accessed through visual and audio
interaction. The annotations are mood-based in that they reflect the mood of
the user respect to the point of interest s/he is commenting. The paper
presents a definition of multimodal mood-based annotation and a description of
the architecture, illustrating in particular the interaction process between
users and systems through the audio interface. A concrete application of the
architecture is presented: an annotative locative media project aimed at
supporting tourists in creating annotations related to the Valchiavenna valley
in Italy.
Keywords: Communication, Multimedia, Multimodal, Audio, Annotation,
Mood, Speech recognition
Title
of the Paper:
Enterprise Information Integration: People, Automation, and Complexity
Concerns
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Authors:
Ionel Botef
Abstract: The purpose of this paper is to explore how people, automation, and
complexity can be effectively and successfully integrated into a manufacturing
enterprise information system. This exploration is required because various
studies showed that manufacturing enterprise information integration faces
complex organisational, technical, and social shortcomings. Based on the
paper's qualitative findings supported by authorities, evidence, or logic,
essentially, it is argued that automation and information systems should
focus, incorporate, and assist human, and that wisdom of simplicity in order
to control complexity should prevail against the attempt to develop complex
systems that usually are a consequence of unnecessary requirements. This also
leads to the need for a multi-perspective research approach for solving
enterprise integration problems.
Keywords: People, Automation, Complexity, Information, Integration
Issue 6, Volume 8,
June 2011
Title
of the Paper:
General Properties of Staircase and Convex Dual Feasible Functions
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Authors:
Jurgen Rietz, Claudio Alves, J. M. Valerio De Carvalho
Abstract: Dual feasible functions have been used successfully to compute lower
bounds and valid inequalities for different combinatorial optimization
problems. In this paper, we show that some maximal dual feasible functions
proposed in the literature are dominated by others under weak prerequisites.
Furthermore, we explore the relation between superadditivity and convexity,
and we derive new results for the case where dual feasible functions are
convex. Computational results are reported to illustrate the results presented
in this paper.
Keywords: Dual feasible functions, Maximal functions, Extreme
functions, Dominance, Convex functions, Lower bounds.
Title
of the Paper:
An Effective and Adaptive Data Cleaning Technique for Colossal RFID Data Sets
in Healthcare
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Authors:
A. Anny Leema, M. Hemalatha
Abstract: Radio frequency identification (RFID) technology has seen increasing
adoption rates in applications that range from supply chain management, asset
tracking, Medical/Health Care applications, People tracking, Manufacturing,
Retail, Warehouses, and Livestock Timing. This technology is used in many
applications for data collection. The data captured by RFID readers are
usually of low quality and may contain many anomalies. Data quality has become
increasingly important to many organizations. This is especially true in the
Medical/health care field because minute errors in it can cost heavy financial
and personal losses. In order to provide reliable data to RFID application it
is necessary to clean the collected data. SMURF is a declarative and adaptive
smoothing cleaning technique for unreliable RFID data. However it does not
work well when tag moves rapidly in and out of reader’s communication range.
The errors need to be cleansed in an effective manner before they are
subjected to warehousing. Factors such as inter tag distance , tag-antenna
distance, number of tags in the read range of antenna, reader communication
range, velocity of tag movement affect the data cleaning result. Our proposed
algorithm considers these factors and also the missing tag information, tags
that are mistakenly read as present dynamically in determination of the size
of slide window. Simulation shows our cleansing approach deals with RFID data
more accurately and efficiently. Thus with the aid of the planned data
cleaning technique we can bring down the health care costs, optimize business
processes, streamline patient identification processes and improve patient
safety.
Keywords: RFID technology, significance of data quality, RFID
Architecture, RFID middleware systems, cleaning methods, Data cleaning
approaches
Title
of the Paper:
A Test of the Guillotine Restrictions Determination for a Rectangular Three
Dimensional Bin Packing Problem
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Authors:
Daniela Marinescu, Alexandra Baicoianu
Abstract: This paper is an extended version of the paper [9] regarding to the
rectangular three dimensional bin packing problem, where a bin is loaded with
a set of rectangular boxes, without overlapping but with possible gaps. One of
the most popular restriction for the solution of the 3D-bin packing problem is
the guillotine restriction. The guillotine restriction requires that the
packing patterns should be such that the boxes can be obtained recursively by
cutting the bin in two smaller bins, until each bin will contains only one box
and no box has been intersected by a cut. Our objective is to find a method to
verify if a 3D bin-packing pattern has the guillotine constrains or not. For
this purpose we use a weighed graph representations of a solution of the
problem, the generalisation of this kind of representation obtained by us for
2D cutting-stock problem in [10, 11, 12].
Keywords: 3D bin-packing problem, guillotine constraints
Issue 7, Volume 8,
July 2011
Title
of the Paper:
Development of an Information Platform for Training Graphic Construction
Abilities
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Authors:
Chih-Han Chang, Woei-Luen Chen, Chih-Chen Chen, Sheng Chen, Tzu-Chin Chao,
Sheng-Wen Hong, Yu-Luen Chen
Abstract: In clinical nurses, some of the examination tools of cognitive
function are detection of the reaction for graphs. There are the examinations
of visual recognition memory in the Mini-Mental State Examination (MMSE). The
Bender Visual Motor Gestalt test (or Bender-Gestalt test) is a psychological
assessment used to evaluate visual-motor functioning, visual-perceptual
skills, neurological impairment, and emotional disturbances. This research
seeks to import the RFID technology to do for the graphic training tools. The
figures are composed by the tag. After the users read the tag by the RFID
reader, the information will be passed to the server via the wireless
communication module. Information can be immediately stored in the database to
compare the data and computing operations, such as to obtain the tag location
which the display to be read. The data are managed using database management
systems, which store database contents, allowing data creation and
maintenance, and search and other access. With the developed application, the
user can see that the training course and test results, as a reference for
medical personnel.
Keywords: RFID, Tag, Database, Server
Title
of the Paper:
The Growing-Tree Sorting Algorithm
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Authors:
Sherenaz Al-Haj Baddar, Sami Serhan, Hamed Abdel-Haq
Abstract: In this paper, a new sorting algorithm called the Growing-Tree
Sorting Algorithm (GTSA) is proposed to sort a vector of items in a linear
time. It implements a structured tree that stores the digits of each input
integer and retrieves the integers in the correct order. If d is the maximum
number of digits per input number and n is the input size, then it can be
shown that the GTSA algorithm requires è(dn) time to sort both in its best and
worst-case scenarios. It can be also shown that the best-case memory
complexity of GTSA is è(d) and that the worst-case memory complexity is è(dn).
To evaluate the performance of GTSA, it was compared with the radix and
counting sort algorithms in terms of the memory they consume and their
corresponding execution times. The experiments showed that GTSA was, in
general, more memory-conservative than counting sort and radix sorting
algorithms. The experiments also showed that the GTSA was faster than the
radix and counting sort algorithms when the input size was relatively large
and the input range was relatively small.
Keywords: Non-comparative sorting, linear-time sorting, tree,
post-order traversal
Title
of the Paper:
An Empirical Study on Relationship of Need for Cognition, Attitudes, and
Intention before Installation of Corporate E-learning Programs in Taiwan
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Authors:
Cheng Kai-Wen
Abstract: It’s known that business employees take the largest share of
e-learning users. This figure highlights businesses’ attempt to deliver their
core competencies through low-cost, convenient, and flexible e-learning
mechanisms. However, while numerous previous studies have focused on the use
of some corporate e-learning programs (CELP), little is known about the users'
pre-installation reactions to CELP. This study focused on investigation into
an international accounting firm’s CELP in the pre-installation phase. The
relationship among users' need for cognition (NFC), attitudes towards
corporate e-learning (ATT) and intentions for the use of corporate e-learning
(INT) was explored. Findings of this study can illuminate that users’ NFC
relates positively to the users’ ATT, and users’ ATT relates positively to the
users’ INT.
Keywords: corporate e-learning program (CELP), accounting firm
Issue 8, Volume 8,
August 2011
Title
of the Paper:
Optimal Eighth-Order Simple Root-Finders Free from Derivative
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Authors:
F. Soleymani
Abstract: The calculation of derivatives of a function mostly takes up a great
deal of time and even in some cases, such as the existing problems in
engineering and optimization, is impossible to be evaluated directly.
Accordingly, an accurate derivative-free class of three-step methods is
suggested for solving () = 0. The proposed three-step technique comprises
four evaluations of the function per iteration. The analytical proof of the
main contribution is given. And finally, the accuracy of the developed
techniques is tested numerically by solving numerical examples.
Keywords: Kung-Traub Hypothesis, fourth-order, eighth-order; iterative
methods, efficiency index
Title
of the Paper:
Optimization of Image Processing Techniques Using Neural Networks – A Review
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Authors:
Bharathi P. T., P. Subashini
Abstract: This paper reviews the application of artificial neural networks in
image preprocessing. Neural networks, especially uses feed-forward neural
networks, Kohonen feature maps, back-propagation neural networks, multi-layer
perception neural networks and Hopfield neural networks. The various
applications are categorized into a novel two-dimensional taxonomy. One
dimension specifies the type of task performed by the algorithm,
preprocessing, data reduction or feature extraction, segmentation, object
recognition, image understanding and optimization. The other dimension
captures the abstraction level of the input data processed by the algorithm
that is pixel-level, local feature-level, structure-level, object-level,
object-set-level and scene characterization. Each of the six types of tasks
poses specific constraints to a neural-based approach. A synthesis is made of
unresolved problems related to the application of pattern recognition
techniques in image processing and specifically to the application of neural
networks. By this survey, the paper try to answer what the major strengths and
weakness of applying neural networks for image processing would be.
Keywords: Image preprocessing, Data reduction, Image Segmentation,
Object recognition, Image understanding, optimization and Neural Networks
Title
of the Paper:
An Interpretive Analysis of Factors Contributing to Issues in Agribazaar’s
Implementation
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Authors:
Nor Farzana Abd Ghani, Faudziah Ahmad
Abstract: Agribazaar, a one stop center for the Malaysian agricultural
community is developed to facilitate agricultural community conduct businesses
locally or globally online, specifically in terms of buying and selling
agricultural products. After seven years of its implementation, no study has
been made to evaluate the performance of the portal. The study conducted in
the year 2007, evaluated the performance of Agribazaar in terms of
utilization, awareness, satisfactory level of Agribazaar users and identified
issues and challenges to the implementation of Agribazaar. The study adopts a
qualitative research approach where qualitative data were collected through
gathering users’ comments on Agribazaar from a specified range of date.
Interviews were conducted with users, administrator, and developers. Focus
group discussions were carried out to verify results. Interpretive analysis
was used to evaluate data. Analysis on the total comments revealed seven major
issues: portal usefulness, system administrator support, portal usability,
content accuracy, relevant features, portal usefulness, and privacy and
legitimacy. Agribazaar is considered as successful as it has helped to create
business leads and has attracted many individuals and companies who are not
directly involved with producing the agriculture product. A few suggestions
were made to guide future enhancement on the portal. A concerted effort
between the users, developers and owner of the system is most crucial in
leveraging the business matchmaking potential of the portal.
Keywords: agribusiness, portal, Internet-based application, evaluation,
issues and challenges
Issue 9, Volume 8,
September 2011
Title
of the Paper:
HCI to Engage Design Team Members in IT-integrated Design Collaboration
Process
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Authors:
Naeimeh Delavari, Normahdiah Sheikh Said, Rahinah Ibrahim, Muhamad Taufik
Abdullah
Abstract: Design Collaboration is an activity that requires participation of
project team members for organizing design tasks and sharing experience and
information. Currently, in this process the project team members are yet to
fully utilize computer technologies while communicating in non-collocated
design collaboration. Correspondingly, many still prefer to communicate
face-to-face. However, miscommunication and lack of efficient collaboration is
observed among them. The purpose of this paper is to integrate Human Computer
Interaction (HCI) in design collaboration process in order to engage design
team members in IT-integrated design collaboration process. Based on the
extensive literature survey analysis, we identify the current gaps and
deficiencies in design collaboration process. Consequently, to fulfil the
current gaps, the study proposes HCI solution to current non-collocated design
collaboration process. The authors identify that engaging professionals in
human computer interaction is a solution to the deficiencies of current
IT-integrated design collaboration process. Our literature survey will include
design collaboration in building project team, technology in communication,
HCI and engagement studies. The result of this analysis and proposed solution
is presented by a model. This model indicates that identification of key human
factors during design collaboration process is essential to engage
professionals in collaborating using IT/ICT technology. Additionally, the
study recommends the key human factors supporting IT-supported design
collaboration. Consequently, the identified key human factors will lead us to
identify the most dominant parameters that engage design team members in
IT-integrated design collaboration. It will potentially help to improve
collaboration among team members trough IT technologies.
Keywords: Engagement, HCI, non-collocated design collaboration, human
factor, IT-integrated design collaboration process, IT/ICT
Title
of the Paper:
Mixed-sampling Approach to Unbalanced Data Distributions: A Case Study
involving Leukemia’s Document Profiling
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Authors:
Wu Qing Qiang, Liu Hua, Liu Kun Hong
Abstract: Leukemia’s types and their relationships to literatures are
introduced, based on which data set about Leukemia for classification is
constructed with original data sources, such as Cancer Gene Census, PubMed and
gene2pubmed. The data set is imbalanced as the research object. Based on the
introduction of current classification methods of imbalanced data set, the
problems of sampling in imbalanced data set are analyzed, and mixed-sampling
method is proposed to classify the Leukemia data set. The multi-class problem
about Leukemia is transferred to a set of two-class problems. Area Under
Receiver Operating Characteristic (ROC) Curve (AUC) are used to evaluate the
mixed-sampling method. Then, experiments are performed to verify the
classification efficiency and stability of eight classification methods, and
their classification results are comparatively analyzed. It can be found that
the mixed-sampling method achieves the best performance. At last, the research
work in this paper is concluded with a look forward to the future work.
Keywords: Leukemia, Literature Profiling, Imbalanced Data Distribution,
Decision Tree, mixed-sampling, Ensemble Learning
Title
of the Paper:
Exploring the Performance Impact of Web-based Direct Procurement Systems: From
the Perspective of Process Integration
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Authors:
Yi-Ming Tai
Abstract: In addressing the issue of value derived from Web-enabled direct
procurement, this study attempts to investigate the impact of Web-based direct
procurement systems on intra- and inter-organizational process integration
capabilities and organizational performance. A sample of 131 manufacturing
firms with experience participating in government-subsidized e-business
development projects is surveyed, with resulting data subject to partial least
squares analysis to investigate the performance impacts of Web-based direct
procurement systems. The results reveal that implementing Web-based direct
procurement systems enables firms to improve their intra- and
inter-organizational process integration capabilities which, in turn, yield
sustained gains in organizational performance.
Keywords: Web-based direct procurement system, Information technology
value, Intra-organizational process integration capability,
Inter-organizational process integration capability, Organizational
performance
Issue 10, Volume 8,
October 2011
Title
of the Paper:
The Study of Internet Applications in LabVIEW Teaching
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Authors:
Ching-Yi Chao, Chau-Shing Wang, Hsin-Ying Yang, Kun-Hung Hsieh, Tsair-Rong
Chen
Abstract: This study is proposed to discuss the application of graphical
programming software of LabVIEW (Laboratory Virtual Instrument Engineering
Workbench) and the integrated interface technology of control system for
development board through Internet teaching. Students can operate the lab
computers to write programs and learn to utilize education board via the
remote desktop built in the Windows operating system. Students can also
observe immediately if their operation is accurate and if they can meet the
requirements of each exercise with web cameras, designed in this study to
achieve the teaching purpose of the integrated courses in LabVIEW system.
Through the internet, students who have no lab equipment and software at home
can not only learn earily without the limitation of time and space, but also
obtain curriculurn efficiency to enhance career ability.
Keywords: LabVIEW, Education board, Internet, Online learning
Title
of the Paper:
BER Performance of an Ultra-Wideband Impulse Radio Correlator Receiver
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Authors:
Giorgos Tatsis, Vasilis Christofilakis, Constantinos Votis, Panos Kostarakis,
Leonidas Ivrissimtzis, Spyridon K. Chronopoulos
Abstract: This paper studies the characteristics of an Ultra-Wideband (UWB)
communication system employing Impulse Radio techniques and, specifically, the
effects of the matched filter of a correlator receiver in the performance of
such a system. Such effects are evaluated in terms of the Bit Error Rate (BER)
for a Binary Pulse Position Modulation (BPPM) scheme, in an indoor multipath
propagation channel and in the presence of additive white Gaussian noise
(AWGN). The case of imperfect channel estimation is taken into account, while
comparisons with perfect channel estimation are performed. The dependence of
BER on parameters such as the signal to noise ratio (SNR), the number of
estimation pilot pulses and correletor taps, is finally derived. It is shown
that there is an optimum number of correlator taps for best BER performance
depending on the channel estimation procedure.
Keywords: Ultra-wideband, Impulse Radio, correlator, BER
Title
of the Paper:
Role of Mobile Agent in Medical Information Retrieval in Mass Casualty Scene –
A Performance Study in Web Environment
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Authors:
M. Vigilson Prem, S. Swamynathan
Abstract: Addressing health disorders at the early stage during mass casualty
is one of the important issues to be thrown light nowadays. If mass casualty
occurs in remote locations where proper health care equipments or analysis of
medical information is not available, a special team must be appointed to
monitor and control it. When an emergency occurs, especially in mass casualty
incidents, lots of victims need medical attention. It is obvious that the
faster and accurate the acquisition and analysis of data, the more effective
the answer could be given. That is, the needs will be attended as early as
possible and the affected population could be reduced. The common point in all
cases is the analysis of information. Around it lies, the importance of
responding to the emergency. Mobile agents play a vital role in communication
between different remote locations. If the special team needs information from
these locations or the remotely located medical officers needs information
from the special team, mobile agents are useful. This paper discusses the use
of mobile agent technology as an enabler of open distributed e-Health
applications. More precisely, it describes the experiences based on this
technology: concerning emergency scenarios.
Keywords: Mass Casualty, Emergency, Mobile Agents, Client-Server, Web
Environment, Response Time, Throughput
Issue 11, Volume 8,
November 2011
Title
of the Paper:
Computer Security Economics Based On Risk Analysis Of Multilevel
Authentication Design For Access Control
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Authors:
Ford Lumban Gaol
Abstract: Several password techniques for multilevel authentication mechanism
in the development of secondary password are presented. These include
user-selected passwords, system-generated passwords, passphrases, cognitive
passwords, and associative passwords. A comparative evaluation on the users
memorability and users subjective preferences for those various password
mechanisms was conducted. The Return on Investment (ROI) of the access
control was calculated based on the result of the users memorability and
risk analysis. From the comparative evaluation and the study on the ROI of
the access control, it can be concluded that cognitive passwords and
associative passwords appear to be the most appropriate techniques for
secondary passwords.
Keywords: user preferred password, ease of recall, secondary password,
return on investment, Cost Based Analysis, Value of Information
Title
of the Paper:
Estimation of HW/SW Cost Parameters in Altera FPGA Design Environment
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Authors:
M. Jagadeeswari, M. C. Bhuvaneswari
Abstract: This paper explains the method for obtaining Hardware/Software
(HW/SW) cost parameters such as hardware area, hardware time, software area
and software time using Altera FPGA design environment. HW/SW partitioning
of FFT and JPEG FDCT are derived using multi-objective optimization
techniques Weighted Sum Genetic Algorithm (WSGA), Elitist Non-dominated
sorting Genetic Algorithm (ENGA) and Multi-Objective Particle Swarm
Optimization using Crowding Distance (MOPSO-CD) algorithms. Experimental
results show that ENGA is effective in obtaining the HW/SW partition that
obtains both minimum area and minimum time for both the applications.
Keywords: Evolutionary algorithms, HW/SW partitioning, Multi-objective
optimization, Pareto-optimal solutions
Title
of the Paper:
Optimization of Test Cases Using Soft Computing Techniques: A Critical Review
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Authors:
Manoj Kumar, Arun Sharma, Rajesh Kumar
Abstract: Software testing is the key technology for evaluating the fault
detecting capability quantitatively. Software testing is very labor-intensive
and expensive process. It is a core activity in quality assurance. Test
cases minimization, selection, prioritization forms common thread of
optimization. Test case optimization is a multi-objective optimization,
peculiar nature and NP-Complete problem. However, by applying appropriate
test case optimization techniques, these efforts can be reduced
considerably. Moreover, by using the multi-objective optimization of test
cases with test data adequacy criteria and automation of testing process
will help in improving the overall quality of the software. Present paper
gives the insight into existing single objective test cases optimization
techniques such as Genetic Algorithms, Ant Colony Optimization, Hybrid
Genetic, Intelligent Search Agent Techniques, Particle Swan Optimization,
Graph based Intelligent Techniques, Hybridization of Soft Computing
techniques devised by various researchers or practionners by using single
parameter like number of defect detecting capability, cost, efforts,
coveragebility of requirement/ code and quality of the results. In addition
to this, it highlights some research issues relating to above.
Keywords: Multi-Objective Optimization, Soft Computing Techniques, Test
Cases, Test Data Adequacy Criteria
Issue 12, Volume 8,
December 2011
Title
of the Paper:
On Improving the Performance of Multimodal Biometric Authentication through
Ant Colony Optimization
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Authors:
L. Latha, S. Thangasamy
Abstract: Multimodal biometric authentication systems are now widely used for
providing the utmost security owing to its better recognition performance
compared to unimodal systems. Multimodal biometric systems are developed by
combining the information of individual biometrics. In this paper, a
multimodal biometric system is proposed by combining the scores of iris and
palm print traits of a person. This information fusion takes place at the
matching score level, due to the ease in accessing and combining the scores
generated by the two different matchers. Since the matching scores output by
the two modalities are heterogeneous, score normalization is needed to
transform these scores into a common domain, prior to combining them. The
normalized values are then applied to various score fusion methods. The
resulting scores are compared to a threshold value for taking a decision of
accepting or rejecting the person. The recognition accuracy of fusion
methods strongly depend upon the correctness of this threshold value. Hence
we propose Ant colony optimization (ACO) technique for selecting the optimal
threshold value for each of the fusion method employed. This approach
further enhances the accuracy of the system compared to the fusion methods
with no optimal threshold. The experimental results obtained using CASIA
iris and palm print databases show that the application of ACO results in
higher recognition rates and lower error rates. To the best of our
knowledge, it is the first work that applies ACO to enhance the accuracy of
biometric authentication process.
Keywords: ACO, Biometrics, Multimodal, Normalization, Product, Score
fusion, Sum
Title
of the Paper:
The Returns Policy for Perishable Commodities under Fuzzy Demand
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Authors:
Shu-Hui Chang, Shih-Heng Pao, Jeng-Yan Tsai
Abstract: This paper studies the effect of the returns policy on channel
coordination and Pareto efficiency in a two-echelon supply chain with fuzzy
demand. As in the traditional probabilistic analysis, we prove that the
profits for the whole supply chain, the manufacturer and the retailer in the
coordination situation are larger than the corresponding one in the non-
coordination situation. Not like the probabilistic analysis, the optimal
quantity is not unique in fuzzy demand. The goal of channel coordination and
Pareto efficiency can be achieved by the returns policy if the optimal
quantity is smaller than the most possible value of fuzzy demand; otherwise,
it may not be achieved.
Keywords: Fuzzy set, Returns policy, channel coordination, Pareto
efficiency, Double marginalization, Partial refund, The participation
constraint
Title
of the Paper:
A Demand-Driven Architecture for Web-Based Tracking Systems
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Authors:
Bing-Fei Wu, Ying-Han Chen, Po-Chia Huang
Abstract: With the convergence of the Internet and the Global Positioning
System (GPS), a common approach called GPS tracking system has been
developed nowadays. A GPS tracking system uses GPS to determine the precise
location of a vehicle, person, or other assets and shares information with
remote clients through the Internet. In the outdoors, the device usually
connects to the Internet through mobile networks like GPRS or 3G. However,
the weaknesses of a mobile network are low bandwidth and high charging
strategies compared to Ethernet or Wi-Fi. In this paper, a demand-driven
architecture for web-based tracking systems is presented. By integrating
several technologies nowadays, this architecture is designed to improve the
efficiency for the location-aware applications. The proposed architecture
focuses on two problems. One is the redundant connection, causing the waste
of bandwidth and fees during the connection period in the mobile network.
The other is the data asynchronization during the period of transmission. We
not only addressed the connection scheme to solve above issues, but also
designed a prototype on an embedded platform for web-based tracking systems.
The performance has also been evaluated for the total latency time when a
user exploits different communication medium, and the results showed that
the user can monitor the status of target in real time even in the worst
case.
Keywords: GPS, redundant connections, asynchronization, tracking
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