Change is the only thing which is constant in this
today’s era. Constant technology updates demand building up
and falling down of infrastructure along with cost involvement.
Today there is a need of adaptive infrastructure called Ad hoc
network.
Ad hoc network is a collection of two or more nodes with
wireless communication having network capability that they can
communicate without centralized manner. So, at any time host
devices may act as a router or as a node. Ad hoc networks can be
erected as wireless technology, comprising of Radio Frequency
(RF) and infrared frequency.
Wireless Ad hoc network is Temporary, Infrastructure less,
Decentralized, self-organized packet switched network. In this
network topology changes dynamically which can results change
in link failure or broken. In this paper we evaluate the
performance parameters like Throughput, End-to-End Delay and
Packet Delivery Ratio of AODV (ad hoc on Demand Vector) and
DSDV (Destination Sequential Distance Vector) protocol. The
simulation tool used is Network Simulator 2 -2.35
Multiagent Based Methodologies have become an
important subject of research in advance Software Engineering.
Several methodologies have been proposed as, a theoretical
approach, to facilitate and support the development of complex
distributed systems. An important question when facing the
construction of Agent Applications is deciding which
methodology to follow. Trying to answer this question, a
framework with several criteria is applied in this paper for the
comparative analysis of existing multiagent system
methodologies. The results of the comparative over two of them,
conclude that those methodologies have not reached a sufficient
maturity level to be used by the software industry. The
framework has also proved its utility for the evaluation of any
kind of Multiagent Based Software Engineering Methodology
This paper aims to identify Key determinants for
successful Project Implementation in the state of West Bengal
with special focus in the Durgapur Industrial area. The research
is motivated by the fact that of late there has been limited success
in Project Implementation in West Bengal which had earlier been
very successful in large scale project Implementation. Project
related Professionals of the region were deliberated and
interviewed. An objective realization instrument developed using
47 factors identified in the research as possible drivers in Project
implementation based on Likert’s seven point scale of ranking.
Weighted scores of respondents who have been involved in
project implementation in the area to the factors were analysed
using Factor Analysis, while the effects of the quantified weight of
the critical factors were analysed using regression tool. Result of
the analysis clearly identifies the Key determinant among all
factors which are essential for successful Project Implementation.
The 47 factors are further grouped into few segments like
Human, Resource, and Infrastructure etc. So through this
research segment priority is also determined for the area and
project manager based on priority can devote their time and
energy to ensure that the Project is successfully completed. The
customisation of Project planning and Project design has been
the key determinant for successful project implementation
The purpose of paper is to recommend strategies to
increase customer loyalty through complaint management and as
a tool to manage risk. The paper encompasses the theoretical
concepts which emerge from the extensive review of literature on
complaints and risk. It was found that complaints and risk have a
significant relation and through complaint management, risk can
be reduced. The study has proposed COMPSAT Grid (reinforced
with literature review) demonstrating the state of Banks based on
no. of complaints and loyalty of customers. COMPSAT Grid can
become a base to design the strategies to increase customer’s
loyalty. The study is limited to the customer’s perceived risk. The
paper stresses on the importance of complaints in managing the
risk. Through COMPSAT grid the service providers may
modulate existing strategies to increase customer loyalty. The
concepts will establish complaint management as a basis of
marketing strategy modulation. The model is a theoretical
approach which is based on the concepts
Change is the only thing which is constant in this
today’s era. Constant technology updates demand building up
and falling down of infrastructure along with cost involvement.
Today there is a need of adaptive infrastructure called Ad hoc
network.
Ad hoc network is a collection of two or more nodes with
wireless communication having network capability that they can
communicate without centralized manner. So, at any time host
devices may act as a router or as a node. Ad hoc networks can be
erected as wireless technology, comprising of Radio Frequency
(RF) and infrared frequency.
Wireless Ad hoc network is Temporary, Infrastructure less,
Decentralized, self-organized packet switched network. In this
network topology changes dynamically which can results change
in link failure or broken. In this paper we evaluate the
performance parameters like Throughput, End-to-End Delay and
Packet Delivery Ratio of AODV (ad hoc on Demand Vector) and
DSDV (Destination Sequential Distance Vector) protocol. The
simulation tool used is Network Simulator 2 -2.35
Multiagent Based Methodologies have become an
important subject of research in advance Software Engineering.
Several methodologies have been proposed as, a theoretical
approach, to facilitate and support the development of complex
distributed systems. An important question when facing the
construction of Agent Applications is deciding which
methodology to follow. Trying to answer this question, a
framework with several criteria is applied in this paper for the
comparative analysis of existing multiagent system
methodologies. The results of the comparative over two of them,
conclude that those methodologies have not reached a sufficient
maturity level to be used by the software industry. The
framework has also proved its utility for the evaluation of any
kind of Multiagent Based Software Engineering Methodology
This paper aims to identify Key determinants for
successful Project Implementation in the state of West Bengal
with special focus in the Durgapur Industrial area. The research
is motivated by the fact that of late there has been limited success
in Project Implementation in West Bengal which had earlier been
very successful in large scale project Implementation. Project
related Professionals of the region were deliberated and
interviewed. An objective realization instrument developed using
47 factors identified in the research as possible drivers in Project
implementation based on Likert’s seven point scale of ranking.
Weighted scores of respondents who have been involved in
project implementation in the area to the factors were analysed
using Factor Analysis, while the effects of the quantified weight of
the critical factors were analysed using regression tool. Result of
the analysis clearly identifies the Key determinant among all
factors which are essential for successful Project Implementation.
The 47 factors are further grouped into few segments like
Human, Resource, and Infrastructure etc. So through this
research segment priority is also determined for the area and
project manager based on priority can devote their time and
energy to ensure that the Project is successfully completed. The
customisation of Project planning and Project design has been
the key determinant for successful project implementation
The purpose of paper is to recommend strategies to
increase customer loyalty through complaint management and as
a tool to manage risk. The paper encompasses the theoretical
concepts which emerge from the extensive review of literature on
complaints and risk. It was found that complaints and risk have a
significant relation and through complaint management, risk can
be reduced. The study has proposed COMPSAT Grid (reinforced
with literature review) demonstrating the state of Banks based on
no. of complaints and loyalty of customers. COMPSAT Grid can
become a base to design the strategies to increase customer’s
loyalty. The study is limited to the customer’s perceived risk. The
paper stresses on the importance of complaints in managing the
risk. Through COMPSAT grid the service providers may
modulate existing strategies to increase customer loyalty. The
concepts will establish complaint management as a basis of
marketing strategy modulation. The model is a theoretical
approach which is based on the concepts
Abledate Online Mature Online dating, undoubtedly has made its symbol in the online world. Abledate Online relationship can discover you that special somebody in life. Abledate can switch the typical traditional connections that you have had in the previous. Abledate online dating website is a type of internet dating that is also enjoyable if you know how to make it really unique. Abledate online relationship is presently the hot craze and many persons are turning to our internet relationship sites to find buddies, romance, love and relationships. Abledate Online relationship might be the best solution to many that are dating. Abledate might be less complicated for them to locate somebody special, but Abledate might just be a way to date without a time constraint in USA. Hurry up start dating after signup at Abledate.com
— The automation of fault detection in material
science is getting popular because of less cost and time. Steel
plates fault detection is an important material science problem.
Data mining techniques deal with data analysis of large data.
Decision trees are very popular classifiers because of their simple
structures and accuracy. A classifier ensemble is a set of
classifiers whose individual decisions are combined in to classify
new examples. Classifiers ensembles generally perform better
than single classifier. In this paper, we show the application of
decision tree ensembles for steel plates faults prediction. The
results suggest that Random Subspace and AdaBoost.M1 are the
best ensemble methods for steel plates faults prediction with
prediction accuracy more than 80%. We also demonstrate that if
insignificant features are removed from the datasets, the
performance of the decision tree ensembles improve for steel
plates faults prediction. The results suggest the future
development of steel plate faults analysis tools by using decision
tree ensembles.
Abledate Online Mature Online dating, undoubtedly has made its symbol in the online world. Abledate Online relationship can discover you that special somebody in life. Abledate can switch the typical traditional connections that you have had in the previous. Abledate online dating website is a type of internet dating that is also enjoyable if you know how to make it really unique. Abledate online relationship is presently the hot craze and many persons are turning to our internet relationship sites to find buddies, romance, love and relationships. Abledate Online relationship might be the best solution to many that are dating. Abledate might be less complicated for them to locate somebody special, but Abledate might just be a way to date without a time constraint in USA. Hurry up start dating after signup at Abledate.com
— The automation of fault detection in material
science is getting popular because of less cost and time. Steel
plates fault detection is an important material science problem.
Data mining techniques deal with data analysis of large data.
Decision trees are very popular classifiers because of their simple
structures and accuracy. A classifier ensemble is a set of
classifiers whose individual decisions are combined in to classify
new examples. Classifiers ensembles generally perform better
than single classifier. In this paper, we show the application of
decision tree ensembles for steel plates faults prediction. The
results suggest that Random Subspace and AdaBoost.M1 are the
best ensemble methods for steel plates faults prediction with
prediction accuracy more than 80%. We also demonstrate that if
insignificant features are removed from the datasets, the
performance of the decision tree ensembles improve for steel
plates faults prediction. The results suggest the future
development of steel plate faults analysis tools by using decision
tree ensembles.