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Chattopadhyay A.,Indian School of Mines | Gupta S.,Indian School of Mines | Sharma V.K.,Defence Science and Technology Organisation, Australia | Kumari P.,JIIT Noida
Acta Mechanica | Year: 2011

The stresses developed in a body due to a moving load causing fracture are an interesting problem of mechanics having its application toward the stability of a medium. This paper is concerned with the stresses developed in an irregular isotropic half-space due to a normal moving load at a rough free surface. The irregularity has been taken in the form of a parabola and a rectangular irregularity has also been discussed as a special case of parabolic irregularity. Closed-form expressions for the normal and shear stresses have been obtained. The effect of friction, irregularity factor, and maximum amplitude of irregularity has been discussed for both stresses. © 2011 Springer-Verlag. Source


Kwatra P.,JIIT Noida
2013 International Conference on Signal Processing and Communication, ICSC 2013 | Year: 2013

In this work, we aim at exploring new Go-back-N protocols for underwater communications. Beyond the literature survey on various ARQ protocols in propagation delay intensive environments, we have studied the degradation in the channel parameters. Then the new variable window go back N protocol has been proposed and implemented specially for underwater communications. Quantification of probability of error has also been done to a small extent and results compared with the practical scenario. © 2013 IEEE. Source


Kumari V.,BIT Mesra | Srivastava S.,JIIT Noida
2015 International Conference on Signal Processing and Communication, ICSC 2015 | Year: 2015

An H-plane Substrate Integrated Waveguide (SIW) horn antenna is designed and simulated using the Ansoft HFSS software. The shape of the flare is varied from a simple linear taper to corrugated (square corrugation and triangular corrugation) and stepped impedance transformation. The performance of the antenna with different flares is analyzed and compared for optimum results. © 2015 IEEE. Source


Lal S.,JIIT Noida | Sureka A.,ABB
ACM International Conference Proceeding Series | Year: 2016

Software logging is an important software development practice which is used to trace important software execution points. This execution information can provide important insight to developer while software debugging. Inspite of many benefits logging is often done in an ad-hoc manner based only on knowledge and experience of software developer because of lack of formal guidelines and training required for making strategic logging decision. It is known that appropriate logging is beneficial for developers but inappropriate logging can have adverse effect on the system. Excessive logging can not only cause performance and cost overhead, it can also lessen the benefit of logging by producing tons of useless logs. Sparse logging can make logging ineffective by leaving out important information. In order to lessen the load of software developers and to improve the quality of software logging, in this work we propose 'LogOpt' tool to help developers in making informed logging decision. LogOpt uses static features from source code to make catch block logging decision. LogOpt is a machine learning based framework which learns the characteristics of logged and unlogged training instance to make informed logging decision. We manually analyze snippets of logged and unlogged source code and extracted 46 distinguishing features important in making logging decision. We evaluated LogOpt on two large open source projects Apache Tomcat and CloudStack (nearly 1.41M LOC). Results show that LogOpt is effective for automated logging task. © 2016 ACM. Source


Joshi M.,JIIT Noida | Sardana N.,JIIT Noida
2014 7th International Conference on Contemporary Computing, IC3 2014 | Year: 2014

To enhance the testing, testability has been introduced. Testability refers the ease of testing with which faults in software are revealed. PIE (Propagation, Infection, Execution) is the strategy to estimate the software testability. To reduce the computational overhead of PIE, E-PIE (Extended Propagation, Infection, Execution) has been introduced. E-PIE technique consists of three stages. During the initial stages program is broken into blocks and then groups are generated. During the final stage target statements are being marked that is an essential part of E-PIE as testability computed for the marked target statement becomes the testability of whole group. In conventional E-PIE first statement of a group is being chosen as the target statement. This paper proposes another marking target statement strategy in which last statement is being chosen from every group to compute testability. Experimental results show that the proposed strategy provides better group testability as compared to the existing marking statement strategy. © 2014 IEEE. Source

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