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Web
Search Results Reranking using Metrics Based on Link Analysis
and Content Filtering
-- Angelina
Geetha, A Kannan and R Srinivasan
Search
engines are tools which help in effective retrieval of documents
that match user queries. The documents retrieved are usually
large in number. Various algorithms have been developed to
rerank the search results. This paper proposes an algorithm
that combines link analysis and content filtering. When a
user requests for a search process, he enters a query and
the search engine ranks the results. In this algorithm, every
search result document is analyzed for its link structure,
its Inlink referral, and its page size. The contents of the
search document are analyzed for the degree of query match
and also the distribution pattern of the keywords. Based on
this the frequency score and position score are established.
Using these link and content parameters, the search results
are reranked. From the experimental results, it was found
that the reranking based on this proposed multiparameter reranking
algorithm improves the search results to a great extent.
©
2007 IUP . All Rights Reserved.
Framework
for Identifying Defects in Object-Oriented Design
-- Anil
Jadhav
The
identification of defects in software design is crucial, since
these defects can directly affect the quality and effort required
for the implementation of the system developed. Various inspection
techniques are used to identify the defects in object-oriented
software design. Inspection in the early stages of software
development helps to improve the quality and reduce rework
cost. Identifying the origin of the defect is very challenging
if the defect is found at the later stages of software development.
This paper identifies the defects created in the artifacts
during the design phase of the software development life cycle.
The described framework of this paper uses checklist-based
approach and metric-based approach to identify the requirement
defects and quality defects, respectively. It also describes
the techniques to represent identified defects using a defect
chart.
©
2007 IUP . All Rights Reserved.
Solving
Detailed FPGA Routing Problem using Quantum Computing
-- Vinay
Chopra
This
paper presents a proposed quantum search algorithm for Field
Programmable Gate Array (FPGA) routing in FPGA design architecture.
In this approach, geometric FPGA routing task is transformed
into a Boolean Satisfiability (SAT) equation with the property
that any assignment of input variables that satisfies the
equation specifies a valid routing. Satisfying assignment
for a particular route will result in a valid routing, while
the absence of a satisfying assignment implies that the layout
is unroutable. The quantum search algorithm was applied to
the Boolean equation for solving routing alternatives utilizing
the properties of quantum parallelism and quantum superposition.
The approach relies on the proposed Quantum Satisfiability
Detailed Router (QSDR) that conducts a systematic search using
quantum search algorithms. The paper also shows the comparisons
of the QSDR results to other routing algorithms like GRASP
and ZCHAFF. Preliminary experimental results suggest that
the developed quantum search algorithm is taking  iterations even for large FPGA circuits. The extendibility of
this approach will help the designers to find the routing
solution of FPGA circuits easily.
©
2007 IUP . All Rights Reserved.
Influence
Factors for Software Architecture of Object-Oriented System
-- Shafeeq
Ahmad and Vipin Saxena
The
architecture of a software system plays an important role
especially in the partial modification and reusability of
the software. A number of standard processes, techniques and
methods are available for the development of a complete software
system. Though some of them describe the software architecture
during the development of the software, most of them do not
explicitly apply architecture. Hence, it becomes very difficult
to modify or reuse the software system. This paper describes
the important factors, called the influence factors, developed
especially for the use of object-oriented concepts. The paper
also discusses the important influence factors which are driven
from the problem domain.
©
2007 IUP . All Rights Reserved.
Operational
Efficiency through Information Technology in Retail Decision
Making and
Marketing Management
-- Sriram Rajann
There
has been a sea change in the way modern marketing management
and retail operations have evolved and at the crucial end
of these developments, lies Information Technology (IT). It
is an accepted fact that modern organized retailing cannot
survive without IT acting as the strong backbone. Modern retail
operations have been revolutionized by the use of Information
Technology (IT), which has now become an inevitable part of
the process. The laser-scanners that are being used in most
grocery supermarkets and superstores to read the product bar
codes are merely the visible components of the substantial
investment made by retailers in extensive computer and high
speed communications networks in order to collect and exchange
data between stores, distribution centers, suppliers and head
offices. Such networks are not the sole preserve of large
companies. The relative costs of IT systems have fallen considerably
in recent years, enabling most retailers towards investment.
The use of IT is further expected to grow rapidly.
©
2007 IUP . All Rights Reserved
Using
Artificial Intelligence to Detect Credit Card Fraud
-- E
Naveen Kumar
Artificial
Intelligence plays a key role in detecting credit card frauds.
Combined with shared experience database, the power of the
artificial intelligence approach, makes the system smarter
with each new credit card transaction. Neural networks are
used to analyze the data elements of a transaction and determine
whether or not the transaction is potentially fraudulent.
The paper suggests certain preventive measures to combat credit
card fraud.
©2007 IUP . All Rights Reserved.
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