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Microstructure and Properties
of Welded 15CDV6 Alloy Steel
-- B V R Ravi Kumar and J S Soni
In this study of non-destructive testing, tensile test of weldments have been carried out on
a 15CDV6 alloy steel using Gas Tungsten Arc Welding (GTAW) with non-pulsed and pulsed current at
different frequencies—2, 4 and 6 Hz respectively. The radiography, liquid penetrant test and mechanical properties of
the weldments have been evaluated and compared with non-pulsed and pulsed current welding at different
frequencies. The radiography, liquid penetrant test and tensile test have been carried out on the weldments of the above
material having two different thicknesses, i.e., 1.5 and 5.0 mm of 15CDV6 alloy steel. This study also presents the
weld joint efficiency of the material at different welding process parameters. The aim of this study is to see the effect
of pulsed current on the quality of weldments. The experimental results pertaining to different welding parameters
for the above alloys using pulsed and non-pulsed current GTAW are discussed and compared. This paper also covers
the weld microstructure development of the weldments carried out using pulsed and non-pulsed current GTAW. In
order to improve the mechanical integrity of the weldments, it would be desirable to study the microstructure of the
weld Fusion Zone (FZ) and Heat Affected Zone (HAZ). This study has been performed in order to show the
differences in macro and microstructure of the weldments made with non-pulsed and pulsed current at different frequencies
of GTAW.
© 2009 IUP. All Rights Reserved.
Estimation of Age and Growth
by Skeletochronology in Paddy Field Frog,
Rana limnocharis
-- B N Andia, P K Dixit, S Behera, G Mishra and H N Behera
Paddy field frogs of both sexes showed excellent positive correlation between body weight and snout to vent
(S-V) length, body weight and bone weight as well as body weight and gonad weight, suggesting the utility of
these parameters as indirect markers of chronological age and indicating continuous structural growth. The
relative weight of bones of both sexes increased up to maturation and then gradually decreased with body weight,
showing slower rate of growth of these organs with advancing age. The observation of gonad indicates that this paddy
frogs become sexually mature when they attain a body weight of about 9-10 grams in both sexes. However, reliability
of such morphometric data needed report from a more accurate method of bone histology based on the techniques
of `skeletochronology'. Counting of growth rings in histological sections of humerus and femur suggested that,
in natural surroundings, the normal life span of paddy field frogs of both sexes is three years and above. The
animals not showing any growth rings in their skeletal parts are considered as young and immature and have not
completed a year in their natural surroundings.
© 2009 IUP. All Rights Reserved.
HDL Implementation of Sine-Cosine Function
Using CORDIC Algorithm in 32-Bit Floating Point Format
-- Ashutosh Gupta, Manoj Duhan and Solomon Raju Kota
This paper proposes a novel way to implement sine and cosine function in Coordinate Rotation Digital
Computer (CORDIC) algorithm with efficient architectures. It is a class of shift-add algorithms for rotating vectors in a
plane, which is usually used for the calculation of trigonometric functions, multiplication, division and conversion
between binary and mixed radix number systems of DSP applications, such as Fourier transform. The Jack E
Volder's CORDIC algorithm is derived from the general equations for vector rotation. The values of sine and cosine
functions are calculated in IEEE-754-1985 standardized single precision floating point format for achieving better
precision, accuracy and portability in the result. A normalization scheme is used which reduces error and requires no
extra hardware. The algorithm has been implemented in FPGA using VHDL.
© 2009 IUP. All Rights Reserved.
Exploiting Shot Transition Detection
for Video Indexing and Retrieval
-- M Kalaiselvi Geetha and S Palanivel
This paper proposes a novel algorithm to detect shot changes in a video stream using Autoassociative
Neural Network (AANN). Histogram features are extracted from the video frame and AANN is used to capture
the distribution of the features. The proposed AANN Misclustering Rate (AMR) algorithm is used to detect the
shot transitions. The algorithm is evaluated using various factors and the best attributes are chosen.
The experiments demonstrate the effectiveness of the proposed algorithm in detecting shots of less than two
seconds duration.
© 2009 IUP. All Rights Reserved.
Design of Microstrip Patch Antennas
Using Neural Network
-- Vivek Singh Kushwah and Geetam Singh Tomar
This paper presents the general design of microstrip antennas using Artificial Neural Networks (ANN) for
rectangular patch geometry. The design consists of synthesis as the forward side and analysis as the reverse side of the
problem. In this work, the neural network is employed as a tool in the design of microstrip antennas. The neural
network training algorithms are used for training the samples to minimize the error and to obtain the geometric dimensions
of patch antenna with high accuracy for selective band of frequencies using reverse modeling.
© 2009 IUP. All Rights Reserved.
A Hybrid Approach of Neural Network
and Rough Set Theory for Prediction
of Fertility Rate From IVF Outcomes
-- K Meena and M Durairaj
A hybrid prediction model of Artificial Neural Network (ANN) and Rough Set
Theory (RST) is proposed in this paper. ANN and RST are frequently applied to different data mining
problems. Hybrid approach of combining ANN and RST can be directly applied to classification and regression
without additional transformation mechanisms in the data set. ANN is one of the most powerful and universal
predictors. On the other hand, the use of RST in knowledge extraction field is proved by the growing number of applications
and publications. The main advantage of RST is the non-requirement of prior information about the data for the
selection of reduct set. In this paper, a new Rough Neural Network (RNN) algorithm for the proposed hybrid approach
in order to predict semen fertility rate is described. This algorithm is composed of two parts namely pre-processing
part based on RST and classification part based on ANN. However, there arises an issue of selecting the most
significant parameters from the In Vitro Fertility (IVF) tests outcomes. The proposed algorithm examines the
substantial discernability between IVF parameters in order to get significant improvement in prediction performance.
The improved prediction performance of the proposed algorithm is demonstrated through experiments.
© 2009 IUP. All Rights Reserved.
Performance Analysis of a Cattle Feed Plant
-- Deepika Garg, Jai Singh and Kuldeep Kumar
The paper discusses a cattle feed plant consisting of various units, such as elevator, grinder, hopper, mixer,
winch, palletiser, and screw conveyor. These units have been arranged in a series. Failure and repair rates of each
machine are assumed to be constant. The mathematical model of a cattle feed plant has been developed using a
birth-death Markov Process. The differential equations have been solved for the steady-state. The system performance has
been studied for various availability levels for different combinations of failures and repair rates of the subsystems.
© 2009 IUP. All Rights Reserved.
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