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Volume 1, Issue 9



Article Title & Author Name
1. CFD Computation of Educator Diffuser System with Multi Lobed Nozzle
Dr.B.Balakrishna, G.Sankara Rao

To prepare educator diffuser model by using CATIAV5R20.This device works on the principle that the plume temperatures can be brought down by mixing ambient air with exhaust gases and the uptake metal surface temperature can be reduced by insulating the uptake metal from the exhaust gases through formation of thin film of ambient air entrained at each diffuser ring. In this paper, the IRSS device has been redesigned by putting multi lobed nozzles in place of simple circular nozzle, expecting an enhancement in the gas cooling phenomenon. The 4, 6,8,10 lobed design of nozzle has been attempted taking into consideration of the back pressure restrictions and manufacturing feasibility. The analysis has shown a complicated phenomenon occurring inside the modified device having some positive effects in bringing down the plume temperature along with some adverse effects. Comparative analysis for different dimensions has also been carried out to choose a better design of 4 lobed nozzles [1-4]
Keywords:––CATIA, Educator diffuser, Fluent, Gambit, ICEMCFD, Multilobednozzle.
2. Sensitivity of Body Surface Potentials to Cardiac Size Using Boundary Element Methods
Reeta Devi, Swapna Devi
Using numerical and an analytical mathematical model, we studied the effects of variations in heart size properties of the torso on epicardial and body surface potentials. The model consists of a spherical heart concentrically placed in a spherical torso (analytical model) region. The effects of the heart size variability are studied analytically simulating the concentric spheres model (with source placed at the centre) with different radii and then comparing the results with numerically computed ones. Simulation results show that there is a linear relationship between heart size and body surface potentials which confirms the laws of electromagnetics (Gauss' Law).Neglecting other inhomogeneous regions between heart and thorax, approximately 0.01% and 5.14% rise in body surface and epicardial potentials respectively are reported with a rise of 10% in heart size. Key Words:––Body surface potentials, epicardial potentials, cardiac size, boundary element methods and concentric spheres model.
3. Vibration Analysis of a Portal Frame Subjected To a Moving Concentrated Load

The objective of the investigation is to mathematically simulate dynamics and vibrations of a portal frame subjected to a concentrated load moving on it's horizontal member with a certain constant velocity. This portal frame is a basic structure of a low length single span bridge. The emphasis is on an approach to model forced vibrations of the vertical members of the portal frame.
Bridges, Columns, Portal Frame, Influence Line, Vibrations.
4. Modeling of Deep Beams Using Neural Network
Dr. M. A. Tantary & F. A. Baba
The fundamental problem of the reinforced concrete deep beams is that a number of parameters affecting shear behavior have led to a limited understanding of shear failure mechanism and prediction of exact shear capacity. Although, a large number of researchers carried out work, but there is no agreed rational procedure to predict the shear capacity of deep beams. This is mainly due to the non-linear behavior associated with the failure of reinforced concrete deep beams. Artificial Neural Networks are widely used to approximate complex systems that are difficult to model using conventional modeling techniques such as mathematical modeling. They have been successfully applied by many researchers in several civil engineering problems, structural, geotechnical, management etc. Civil and structural engineers attempt to improve the analysis, design, and control of the behavior of structural systems. The behavior of structural systems, however, is complex and often governed by both known and unknown multiple variables, with their interrelationship generally unknown, nonlinear, and sometimes very complicated. The traditional approach used by most researchers in modeling starts with an assumed form of an empirical or analytical equation and is followed by a regression analysis using experimental data to determine unknown coefficients such that the equation will fit the data. In the last two decades, researchers explored the potential of artificial neural networks (ANNs) as an analytical alternative to conventional techniques, which are often limited by strict assumptions of normality, linearity, homogeneity, variable independence, etc. Researchers found ANNs particularly useful for function approximation and mapping problems, which are tolerant of some imprecision and have a considerable amount of experimental data available. In a strict mathematical sense, ANNs do not provide closed-form solutions for modeling problems but offer a complex and accurate solution based on a representative set of historical examples of the relationship. Advantages of ANNs include the ability to learn and generalize from examples, produce meaningful solutions to problems even when input data contain errors or are incomplete, adapt solutions over time to compensate for changing circumstances, process information rapidly, and transfer readily between computing systems (Flood and Kartam 1994). While many efforts have been conducted to understand the shear behavior of reinforced concrete deep beams and (or) to derive equations for estimating such shear capacity, some researchers explored the application of ANNs for such predictions. For example, Oreta (2004) applied ANNs to a set of 155 experimental tests to simulate the size effect on the shear strength of reinforced concrete beams without transverse reinforcement. In this research program, one of the largest, reliable and most confident database of 270 deep beams was utilized to investigate the applicability of the ANN technique to predict the shear capacity of deep beams for a widest range of all affecting parameters. The incorporated variables were width, effective depth, shear span, shear span to depth ratio, compressive strength of concrete, percentage of longitudinal steel, percentage of vertical steel, percentage of horizontal web steel and yield strength of steel. For this important structural criteria, the proposed model predictions were compared with experimental values and five national codes, viz, KBCS, EC-2, CIRIA Guide-2, CSA and ACI-318 and in all the cases, a good confidence level of the proposed model was observed.
5. Demodulation of Differential Binaryphase Shift Keying by Using VDSP++4.5
Ittee Teli

In Demodulation of Differential Binary Phase Shift Keying, Timing recovery Process is to be done by using VDSP++ 4.5 software tools, by using STEL-2110A Chip Circuitry. STEL 2110A chip circuitry have a software base , in which we have a block diagram on the help of this diagram we find out the demodulation of DPSK .In this paper we are discussed on digital modulation and the demodulation of DPSK is more beneficial than BPSK .
6. Virtual Instrumentation and It's Applications
Mrs. Manita Rajput, Mrs .Sadhana Pai

The development and use of programmable measurement systems have been widely explored. The possibility of modifying the measurement procedure simply by changing the algorithm executed by the computer-based architecture without replacing the hardware components makes any experimental activity easier. Virtual measurement systems has been introduced to simplify the design and implementation of programmable measurement systems by adopting a visual interface. In this report, the overview of virtual instrumentation has been discussed. The reasons for a wide acceptance of LabVIEW have been highlighted. The applications and field where LabVIEW has been widely used are reviewed. In the end, small implementations on LabVIEW have been demonstrated.
7. An Improved VLSI Architecture Using Galois Sequence for High Speed DSSS Signal Acquisition at Low SNR
D.Karunakar Reddy, Mekala Ramarao, Dr. T. Satya Savithri

In this paper, a new architecture for DSSS signal acquisition has been proposed and implemented. With the increased requirement of data security and authentication, it is essential to use large PN sequence like Galois GF (2) in the spreading and dispreading operations of DSSS communication. Spreading with a large PN sequence ensures the increased frequency spectrum utilization with ultra narrow band (UNB) channels. An effective and efficient digital modulation technique like QPSK is used for improved accuracy. It also provides acquisition even at low SNR. The simulation results performed on both MATLAB and CPLD (XC3s100evq100-5) shows that the signal acquisition is comparatively improved in terms of low SNR, low power and low complexity.
Key words:––DSSS, Galois sequence, Low SNR, MATLAB, CPLD, VHDL, VLSI
8. An Efficient Elliptic Curve Cryptography protocol Based on Matrices
F. Amounas and E.H. El Kinani

In the last decade the Elliptic Curve Cryptography (ECC) was gained a lot of attention in the literature due to
their performance. In fact, the principal attraction of ECC compared to RSA (Rivest-Shamir-Adleman) is that it offers equal security for a smaller bit size, thereby reducing processing overhead. In this paper, we present a novel mapping of text message into multiple points on Elliptic Curve by using addition table. Then, we describe a new method for encryption and decryption based on matrices. Further, this paper also attemps to utilize the properties of invertible matrices in encryption and decryption process with more flexible and efficient. The proposed method enhances the security of ECC with multi fold encryption.
Keywords:––Elliptic Curve Cryptography, Addition Table, Encryption, Shifting Technique, Non-singular Matrix,



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