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An
Integrated Fuzzy Approach to Assess Water Resources' Potential
in a Watershed - - Ajit
Pratap Singh
Water
is a critical natural resource for not only human development
and the sustainability of the ecosystem, but also the economic
growth of a nation. The importance of water is felt even more
in the desert state of Rajasthan due to meager rainfall, adverse
climatological conditions, and reduced per capita water availability,
with increasing population. This paper aims to develop an
integrated fuzzy assessment model which would evaluate the
status of water resources development in a watershed by analyzing
different factors important for river basin planning and management.
Further, a case study of a watershed, which comes under the
Banas river basin in the Chittorgarh district of Rajasthan,
has been undertaken for the evaluation of the status of water
resources development in different sub-regions (tehsils) of
the district. The above model will clearly demonstrate the
status of water carrying capacity of sub-regions (tehsils)
of the Chittorgarh district of Rajasthan for assessing potential
water resource development. The study concludes with an immediate
need to develop a system to preserve, conserve and utilize
water in an efficient manner through recycling, and by generating
high social consciousness among the people, and utilizing
technological advancements with active coordination and involvement
of water managers and water users alike in the Chittorgarh
district.
©
2008 The Icfai University Press. All Rights Reserved.
Application
of Rothe's Method to Abstract Quasi-Linear Implicit Integrodifferential
Equations in Reflexive Banach Space - - Reeta
S Dubey
This
paper establishes the existence, uniqueness and continuous
dependence on initial data of the strong solution of an abstract
quasi-linear implicit integrodifferential equation in real
reflexive Banach space X, whose dual is uniformly convex,
using the Rothe's method.
©
2008 The Icfai University Press. All Rights Reserved.
Selecting
the Exact Location of a Substation Using Knowledge-Based Expert
Systems - - S Ghosh and H
O Bansal
This
paper reports a method for substation planningthe exact location
for the substation is identified from a given set of locations.
The load points are connected to the substation in the optimum
route using knowledge-based expert systems to avoid any obstruction
between any two load points. This also reduces the overall
feeder length. The optimum branch conductors are selected
using the method proposed by Tram and Wall (1988) to reduce
further costs. The effectiveness of the proposed method is
demonstrated with the help of an example.
©
2008 The Icfai University Press. All Rights Reserved.
Some
Aspects of a Class of Quasi-Binomial Distributions of Order
k - - Rupak
Gupta and Kishore K Das
Consul
(1974) derived a quasi-binomial distribution (QBD) by considering
a simple urn model with a predetermined strategy. Consul and
Mittal (1975) derived another form of QBD, using a new predetermined
strategy. Janardan (1975) discussed Markov Polya urn models
dependent on a predetermined strategy. Das (1993) obtained
a class of QBDs with the aid of Abel's generalization of the
binomial formula and a class of generalized poisson distributions
(GPDs) as a limiting form of QBDs. Following these authors,
here we have obtained a class of QBDs of order k by considering
Abel's generalization of the binomial formula. Further, a
class of GPDs of order k is also defined as a limiting case
of QBDs of order k.
©
2008 The Icfai University Press. All Rights Reserved.
A
Genetic Algorithm for the Replicator Dynamics of a Single-Species
Population - - Anmiv
Prabhu, Puneet Dhakan and Sudeepto Bhattacharya
Genetic
algorithms essentially form a class of non-linear search processes
occurring in the study of mathematical optimization problems
and exhibit remarkable analogy with the Darwinian evolution,
in that the key issue in both these processes is a fitness-dependent
mode of selection of strategies or traits for evolutionary
propagation of the target population. Genetic algorithms are
run via the three fundamental stochastic operators of selection,
crossover and mutation, acting on an initial population, and
then obtain the various generations assuming payoff-proportionate
selection of the agents. Evolutionary game theory too studies
Darwinian evolution by assuming payoff-proportionate selection
of strategies. Replicator equations describe the dynamics
of evolutionary game theory. In this paper, we obtain a standard
genetic algorithm generated numerical simulation for the replicator
dynamics of a single-species population with a constant ecosystem
as the backdrop, and find that the agents with higher fitness
tend to accumulate with the iterates showing an oscillatory
pattern without settling to any fitness sink.
©
2008 The Icfai University Press. All Rights Reserved.
Performance
Analysis of Soft Handoff Algorithm in CDMA Systems Using Fuzzy
Logic - - Alok
Aggarwal, Rajendra Prasad, Mohan Lal and Sunita Devi
Soft
Handoff (SHO) is used in cellular Code Division Multiple Access
(CDMA) systems. One possible method for improving the performance
of conventional soft handoff is to adapt the soft handoff
thresholds. In this paper, the performance of the soft handoff
algorithm in CDMA systems using fuzzy logic is analyzed, and
a new procedure is proposed. The proposed algorithm is compared
with IS-95A and IS-95B SHOs. The proposed algorithm has two
aims: to decrease the thresholds at low traffic loads so that
high quality of traffic channel can be assured, and to increase
the thresholds at high traffic loads so as to release the
traffic channel for supporting more carried traffic. Analysis
of the results shows that the proposed algorithm has better
performance in terms of outage probability, blocking probability
and Eb/I0 ratio, when compared to IS-95A
and IS-95B SHO algorithms.
©
2008 The Icfai University Press. All Rights Reserved.
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June' 08