Bhagwan Parshuram Institute of Technology

Delhi, India

Bhagwan Parshuram Institute of Technology

Delhi, India
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Bhat D.,R D Foundation Group Of Institutions | Sharma N.,Bhagwan Parshuram Institute of Technology
Australian Journal of Chemistry | Year: 2017

The oxidative N-dealkylation of tertiary amines, N,N-dimethylaniline and N,N-diethylaniline, catalyzed by some sterically hindered FeIII complexes and tetraethylammonium periodate as oxidant gave the corresponding N-dealkylated and mono-oxygenated products in good yields. The presence of electronegative atoms on the catalyst complexes influenced the product yield. The presence of H-atom abstractor 2,6-di-tert-butyl-4-methylphenol did not influence product formation, thereby suggesting that the reaction proceeded predominantly via a one-electron transfer mechanism rather than via hydrogen abstraction. Tetraethylammonium periodate favoured oxygen transfer to the substrate. © CSIRO 2017.


Malhotra G.,Bhagwan Parshuram Institute of Technology | Virmani D.,Bhagwan Parshuram Institute of Technology
Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016 | Year: 2016

A Tsunami Detection System can be created using highly efficient Wireless Sensor Networks comprising a network of distributed sensors around water bodies. Tsunamis occur in coastal areas which can be detected by sensors that are deployed underwater. A Tsunami Detection System is used to detect tsunamis and spread warning messages to prevent loss of life and establishments. This paper presents a novel framework for implementing Intelligent Information Retrieval Technique in a Tsunami Detection System using Wireless Sensor Networks. This system generates intelligent data and spreads a warning message about the occurrence of tsunami. The proposed method uses SentiWordNet, a lexical resource explicitly used for opinion mining. This framework extracts intelligent information from the messages which are transmitted by first filtering the redundant text from them followed by stemming and stop words removal and then gathers all the opinion words and calculates their sentiment values using SentiWordNet. Thereafter polarity of the text is calculated and a warning message is conveyed. The proposed method is implemented for determining the magnitude of earthquakes, which is very essential to generate tsunami warnings. © 2016 IEEE.


Taneja S.,Bhagwan Parshuram Institute of Technology | Sharma N.,Bhagwan Parshuram Institute of Technology
India International Conference on Information Processing, IICIP 2016 - Proceedings | Year: 2017

Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. We have used data mining to analyze the existing trends in air pollution in Delhi and make prediction about the future. The data mining techniques used are linear regression and multilayer perceptron. We have seen the trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques we have observed that there will be an increase in amount of PM10 by 45.9% in coming years. However amount of CO and NO2 may show slight increase due to increasing number of 2 wheelers on road. The other pollutants like SO2 may show decrease due to usage of non sulphur fuel and stringent pollution control measures. © 2016 IEEE.


Bhatia V.,Bhagwan Parshuram Institute of Technology | Gupta R.,Maharaja Agrasen Institute of Technology
2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014 | Year: 2014

This paper presents the design of a novel electronic voting machine using microcontroller. Voter's information facility has also been incorporated in the machine design. The information about the number of voters present at the polling place is stored in a register, which is later used to do various analyses. Infrared sensors have been used for determining the voter's information. The design proposed here has a special option of vote rejection which is not present in the conventional systems. The simulation of the system is done on Proteus Professional Software v8.0. Multiple vote casting has been avoided by using software coding techniques. The design presented in this paper is appropriate and the simulation is working properly under normal conditions. © 2014 IEEE.


Gupta M.,Netaji Subhas Institute of Technology | Jain M.,Guru Tegh Bahadur Institute of Technology | Kumar B.,Bhagwan Parshuram Institute of Technology
IET Signal Processing | Year: 2010

Designs of wideband recursive digital integrators and differentiators are presented. The integrators are obtained by interpolating some of the popular digital integration techniques. The procedure consists of obtaining an integrator and then modifying its transfer function appropriately to get a stable differentiator. The proposed integrators and differentiators accurately approximate the ideal integrator and ideal differentiator over the whole Nyquist frequency range and compare favourably with the existing integrators and differentiators. The suggested integrators and differentiators are of third-order and highly suitable for real-time applications, where linear phase property is not necessary. © 2010 The Institution of Engineering and Technology.


Gupta M.,Netaji Subhas Institute of Technology | Jain M.,Guru Tegh Bahadur Institute of Technology | Kumar B.,Bhagwan Parshuram Institute of Technology
International Journal of Circuit Theory and Applications | Year: 2011

In this paper a novel wideband recursive digital integrator and differentiator is presented. The integrator is obtained by interpolating three digital integration techniques and the new differentiator is obtained by modifying its transfer function appropriately. Both the integrator and the differentiator are of third order and highly accurate, thus suitable for real-time applications. © 2010 John Wiley & Sons, Ltd.


Sharma S.C.,Maharaja Agrasen Institute of Technology | Sharma K.,Bhagwan Parshuram Institute of Technology | Walia R.,Maharaja Agrasen Institute of Technology
Physics of Plasmas | Year: 2012

An ion beam propagating through a magnetized potassium plasma cylinder having negatively charged dust grains drives electrostatic ion-acoustic waves to instability via Cerenkov interaction. The phase velocity of sound wave increases with the relative density of negatively charged dust grains. The unstable wave frequencies and the growth rate increase, with the relative density of negatively charged dust grains. The growth rate of the unstable mode scales as one-third power of the beam density. The real part of frequency of the unstable mode increases with the beam energy and scales as almost the one-half power of the beam energy. © 2012 American Institute of Physics.


Rani K.,Bhagwan Parshuram Institute of Technology | Sharma S.C.,Delhi Technological University
Physics of Plasmas | Year: 2015

An ion beam propagating through a magnetized dusty plasma drives Kelvin Helmholtz Instability (KHI) via Cerenkov interaction. The frequency of the unstable wave increases with the relative density of negatively charged dust grains. It is observed that the beam has stabilizing effect on the growth rate of KHI for low shear parameter, but for high shear parameter, the instability is destabilized with relative density of negatively charged dust grains. © 2015 AIP Publishing LLC.


Gupta N.,Bhagwan Parshuram Institute of Technology | Panchal V.K.,Defence Terrain Research Laboratory
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2011

Mixed pixels are usually the biggest reason for lowered success in classification accuracy. Aiming at the characteristics of remote sensing image classification, the mixed pixel problem is one of the main factors that affect the improvement of classification precision in image. How to decompose the mixed pixels precisely and effectively for multispectral/hyper spectral remote sensing images is a critical issue for the quantitative research. As Remote sensing data is widely used for the classification of types of land cover such as vegetation, water body thus Conflicts are one of the most characteristic attributes in satellite multilayer imagery. Conflict occurs in tagging class label to mixed pixels that encompass spectral response of different land cover on the ground element. In this paper we attempted to present a new approach for resolving the mixed pixels using Biogeography based optimization. The paper deals with the idea of tagging the mixed pixel to a particular class by finding the best suitable class for it using the concept of immigration and emigration. © 2011 IEEE.


Gupta A.,Bhagwan Parshuram Institute of Technology | Virmani D.,Bhagwan Parshuram Institute of Technology
ACM International Conference Proceeding Series | Year: 2016

Wireless Sensor Networks (WSNs) offer an exquisite fortuity to monitor territory, and have a lot of applications in military. Security is promptly degrading the staging as the first and foremost concern in wireless scenarios is intrusion detection. This is due to the fact that nodes are not controlled centrally, and most important is limited resources. In this paper we are proposing a new framework (CMRS) which depicts different states of the network. This framework generates a concise message report about the sensor node data and passes selective information to the base station from where we can back-Track the events of the network. The proposed framework is validated for two case studies and the evaluated results are convincing proving the effectiveness of the proposed CMRS. © 2016 ACM.

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