Institution
Jaypee Institute of Information Technology
Education•Noida, Uttar Pradesh, India•
About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Cluster analysis & Wireless sensor network. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.
Papers published on a yearly basis
Papers
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08 Aug 2011
TL;DR: An extension to Biogeography Based-Optimization is proposed for image classification by incorporating the non-linear migration model into the evolutionary process, and results indicate that highly accurate land-cover features are extracted using the extended BBO technique.
Abstract: Remote sensing image classification in recent years has been a proliferating area of global research for obtaining geo-spatial information from satellite data. In Biogeography Based Optimization (BBO), knowledge sharing between candidate problem solutions or habitats depends on the migration mechanisms of the ecosystem. In this paper an extension to Biogeography Based-Optimization is proposed for image classification by incorporating the non-linear migration model into the evolutionary process. It is observed in recent literature that sinusoidal migration curves better represent the natural migration phenomenon as compared to the existing approach of using linear curves. The motivation of this paper is to apply this realistic migration model in BBO, from the domain of natural computing, for natural terrain features classification. The adopted approach calculates the migration rate using Rank- based fitness criteria. The results indicate that highly accurate land-cover features are extracted using the extended BBO technique.
16 citations
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TL;DR: In this paper, the existence of higher-order entanglement in the stimulated and spontaneous Raman processes is established using the perturbative solutions of the Heisenberg equations of motion for various field modes that are obtained using the Sen-Mandal technique and a fully quantum mechanical Hamiltonian.
Abstract: The existence of higher-order entanglement in the stimulated and spontaneous Raman processes is established using the perturbative solutions of the Heisenberg equations of motion for various field modes that are obtained using the Sen-Mandal technique and a fully quantum mechanical Hamiltonian that describes the stimulated and spontaneous Raman processes. Specifically, the perturbative Sen-Mandal solutions are exploited here to show the signature of the higher-order two-mode and multimode entanglement. In some special cases, we have also observed higher-order entanglement in the partially spontaneous Raman processes. Further, it is shown that the depth of the nonclassicality indicators (parameters) can be manipulated by the specific choice of coupling constants, and it is observed that the depth of nonclassicality parameters increases with the order.
16 citations
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18 Feb 2016
TL;DR: This work proposes 'LogOpt' tool to help developers in making informed logging decision which uses static features from source code to make catch block logging decision, and evaluated LogOpt on two large open source projects Apache Tomcat and CloudStack.
Abstract: 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.
16 citations
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TL;DR: A comparative analysis and characterization of the alpha-1 chain of human collagen sequences found that collagens 12, 14 and 20, which belong to the FACIT collagen family, have been identified as potential players in diseased conditions, owing to certain atypical properties.
Abstract: The extracellular matrix is fast emerging as important component mediating cell-cell interactions, along with its established role as a scaffold for cell support. Collagen, being the principal component of extracellular matrix, has been implicated in a number of pathological conditions. However, collagens are complex protein structures belonging to a large family consisting of 28 members in humans; hence, there exists a lack of in depth information about their structural features. Annotating and appreciating the functions of these proteins is possible with the help of the numerous biocomputational tools that are currently available. This study reports a comparative analysis and characterization of the alpha-1 chain of human collagen sequences. Physico-chemical, secondary structural, functional and phylogenetic classification was carried out, based on which, collagens 12, 14 and 20, which belong to the FACIT collagen family, have been identified as potential players in diseased conditions, owing to certain atypical properties such as very high aliphatic index, low percentage of glycine and proline residues and their proximity in evolutionary history. These collagen molecules might be important candidates to be investigated further for their role in skeletal disorders.
16 citations
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01 Dec 2010TL;DR: Novel designs for reversible ALU of a cryptoprocessor which have been implemented in standard gate library are proposed and the quantum cost reported here are better than the lower bounds reported in literature.
Abstract: In order to defend the power analysis attack reversible logic is a good candidate as it ideally does not dissipate any heat and today reversible logic is an emerging research area. In literature different designs for reversible hardware cryptography have been proposed but they have been implemented using complex gate libraries and further theorems have been proposed defining lower limit of implementation cost which is quantum cost. We have proposed novel designs for reversible ALU of a cryptoprocessor which have been implemented in standard gate library and the quantum cost reported here are better than the lower bounds reported in literature. Further we have calculated delay of the proposed designs. We have verified that our proposed designs are minimal with respect to gate count which is circuit cost by simulating it in RevKit. This is for the first time that the optimization algorithms to optimize quantum cost and delay have been applied to improvise on the cost metric in reversible ALU design.
16 citations
Authors
Showing all 2176 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sanjay Gupta | 99 | 902 | 35039 |
Mohsen Guizani | 79 | 1110 | 31282 |
José M. Merigó | 55 | 361 | 10658 |
Ashish Goel | 50 | 205 | 9941 |
Avinash C. Pandey | 45 | 301 | 7576 |
Krishan Kumar | 35 | 242 | 4059 |
Yogendra Kumar Gupta | 35 | 183 | 4571 |
Nidhi Gupta | 35 | 266 | 4786 |
Anirban Pathak | 33 | 214 | 3508 |
Amanpreet Kaur | 32 | 367 | 5713 |
Navneet Sharma | 31 | 219 | 3069 |
Garima Sharma | 31 | 97 | 3348 |
Manoj Kumar | 30 | 108 | 2660 |
Rahul Sharma | 30 | 189 | 3298 |
Ghanshyam Singh | 29 | 263 | 2957 |