Naveeta Kant - Academia.edu (original) (raw)

Papers by Naveeta Kant

International Conference & Workshop on Emerging Trends in Technology, Feb 25, 2011

International Journal of Engineering Research and, 2018

A Wireless Sensor Network is composed of a large number of sensor nodes which are densely deploye... more A Wireless Sensor Network is composed of a large number of sensor nodes which are densely deployed either inside the network or very close to it. Since the sensor nodes are often inaccessible; the lifetime of a network depend on the battery powered of the nodes. NS2 is an open source event driven simulator designed specifically for research in computer communication networks. This paper presents various routing protocols and evaluates the performance using user friendly software NS2.

Brain Computer Interface (BCI) is a device which provides a non muscular communication channel be... more Brain Computer Interface (BCI) is a device which provides a non muscular communication channel between the brain and the environment. It provides an alternate communication channel for people who suffer from severe motor disabilities. The electroencephalogram (EEG) represents an efficient technique to measure and record brain electrical activity. The intent of the user can be recorded using EEG and further it is translated into the device commands. This paper gives the results of experiment performed using Discrete Wavelet Transform (DWT) for feature extraction of EEG signal for motor imagery. Further, these features has been classified into left and right hand movement using Support Vector Machine (SVM) classifier.

As an important part of technology for humanmachine interface, FER draws much attention recently ... more As an important part of technology for humanmachine interface, FER draws much attention recently and numerous methods are proposed .For human beings ,facial expressions is one of the most powerful, natural and non verbal way to communicate their emotions and intensions. A human being can detect facial expression without efforts, but for a machine it is very difficult. This paper describes the problem of facial expression recognition in the field of computer vision .Firstly, the psychological background of a problem presented. Then the idea of facial expression recognition system (FERS) is outlined and the requirement of such system is specified. The FER consists of 3 stages: face detection, feature extraction and expression recognition .Method proposed in literature are reviewed for each stage of system.

2021 2nd Global Conference for Advancement in Technology (GCAT), 2021

This paper discusses the effects of variation of the radius of the ground plane on the performanc... more This paper discusses the effects of variation of the radius of the ground plane on the performance of a water Dielectric Resonator Antenna. The antenna has been simulated using CST and the radiation parameters have been observed in the frequency range of 0.5 GHz to 8 GHz. The radiation parameters observed are beamwidth, Main Lobe Magnitude, Main Lobe Direction, Angular Width, and Side Lobe Level. Statistical analysis of the DRA’s radiation parameters exhibit minimum variance when radius of the ground plane is 30 mm and frequency range is 4 GHz to 8 GHz, thus appropriate for C-Band applications.

International Journal of Computer Applications, 2018

The combination of multiple-input-multiple-output (MIMO) wireless technology with orthogonal freq... more The combination of multiple-input-multiple-output (MIMO) wireless technology with orthogonal frequency division multiplexing (OFDM) has been recognized as one of the most promising techniques to support high data rate, improved capacity, high performance, and reduced inter-symbol interference(ISI). The broadband channel is a typically non-lineof-sight channel and includes many impairments such as timeselective and frequency-selective fading, due to which MIMO-OFDM serves as a better solution. MIMO-OFDM system has various detection techniques such as ZF (Zero Forcing), MMSE (minimum mean square error), ML (Maximum Likelihood, V-BLAST (Vertical Bell Labs Layered Space-Time). V-BLAST detection undergoes SIC (successive interference calculation) technique which uses spatial multiplexing. This paper mainly focuses on SNR performances based on BER (bit error rate) of received MIMO signals by applying the V-BLAST algorithm. The algorithm was tested on ZF, MMSE, ML detectors at the receiver end of MIMO system with the help of MATLAB simulation. ML was found out to be the best configuration, and BNR improvement of 10 2 and SNR of at least 12dB can be easily achieved.

Ijca Proceedings on International Conference on Recent Trends in Information Technology and Computer Science, Mar 10, 2012

Recently, extensive research efforts have been devoted to the design of clustering algorithms to ... more Recently, extensive research efforts have been devoted to the design of clustering algorithms to organize all the hosts in a mobile ad hoc network into a clustering architecture. Clustering is an important research topic because clustering makes it possible to guarantee basic levels of system performance, such as throughput and delay, in the presence of both mobility and a large number of mobile. MANETS have a limitation of battery power, cluster formation is expensive in terms of power depletion of nodes. This is due to the large number of messages passed during the process of cluster formation. A large variety of approaches for ad hoc clustering have been presented, whereby different approaches typically focus on different performance metrics. In this paper, we use the hop count based approach for binding a node to a cluster. We minimize the explicit message passing in cluster formation. We also used the route message of a proactive routing protocol for keeping track of nodes in cluster. Our scheme also involves low latency in the cluster formation phase. In addition, we choose the cluster gateway during cluster formation avoiding the need to explicitly discover the gateways, thus reducing further the transmission overheads. In this paper, we will propose an efficient clustering algorithm that can establish a stable clustering architecture by keeping a host with weak battery power from being elected as a cluster head. Addition to this we will focus authentication of node. Computer simulations show that clustering architectures generated by our clustering algorithm are more stable than those generated by other clustering algorithms.

International Journal of Computer Applications, 2010

The problem of separation of mixed signal spectrum is encountered in many engineering systems. On... more The problem of separation of mixed signal spectrum is encountered in many engineering systems. One such problem is a problem of electromagnetic topology wherein mixed signals at spatial points are encountered and one would like to separate them out using digital signal processing tools. This paper discusses techniques such as fast Fourier transform, short term Fourier transform, wavelet transform and Hilbert Huang transform in light of this application. Advantages and limitations of each technique are bought out for above said problem. In a computational EMI problem, for a given EM topology, field values in problem domain can be computed using conventional numerical techniques such as finite difference method, finite element method, etc. However for a real time application, these techniques are of little use as they require large computation time. One would like to have fast computations if on-line real time dynamic error correction is required for quantities being measured. This paper describes one such approach applicable to control room EMI problem to obtain best estimates of weak signal being measured in noisy surroundings. The techniques used are Bayesian approaches such as Kalman filter and its variants.

Proceedings of the International Conference on Advances in Computing, Communication and Control - ICAC3 '09, 2009

H.264/AVC is a recently developed video compression standard jointly developed by ITU-T VCEG and ... more H.264/AVC is a recently developed video compression standard jointly developed by ITU-T VCEG and ISO/IEC MPEG standards committees. The standard is becoming more popular as it promises much higher compression than that possible with earlier standards. The main goals of the H.264/AVC standardization effort have been enhanced compression performance and provision of a "network-friendly" video representation addressing "conversational" (video telephony)

international journal of engineering trends and technology, 2014

This paper presents the results obtained by the experiments carried out in the project which aims... more This paper presents the results obtained by the experiments carried out in the project which aims to classify EEG signal for motor imagery into right hand movement and left hand movement in Brain Computer Interface (BCI) applications. In this project the feature extraction of the EEG signal has been carried out using Discrete Wavelet Transform (DWT). The wavelet coefficients as features has been classified using Support Vector Machine (SVM), k-Nearest Neighbor (k-NN) and Backpropagation Neural Network (BPNN). The maximum classification accuracy obtained using SVM is 78.57%, using k-NN is 72% and using BPNN is 80%.

Advances in cognitive neuroscience and brain imaging technologies have started to provide us with... more Advances in cognitive neuroscience and brain imaging technologies have started to provide us with the ability to interface directly with human brain. Brain Computer Interface (BCI) is a system that acquires and analyzes neural signals with the aim of creating a communication channel directly between the brain and the external device or computer. The major goal of BCI research is to develop a system that allows people severely affected by motor disorders to communicate with other persons and helps to interact with the external environment. Achievement of greater speed and accuracy of the BCI system depends on improvements in signal processing, translation algorithms, and user training. These improvements depend on increased interdisciplinary cooperation between neuroscientists, engineers, computer programmers, psychologists, and rehabilitation specialists. The objective of this paper is to provide insight into the various aspects of BCI which will help the beginner in this field to understand the basics of BCI.