Jaya Sankar - Academia.edu (original) (raw)
Papers by Jaya Sankar
Lecture notes in networks and systems, 2022
2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016
The area of wireless sensor network (WSN) has always been the pivotal point of attention for vari... more The area of wireless sensor network (WSN) has always been the pivotal point of attention for various researchers for more than a decade. Although WSN is featured with various advantageous characteristics, still it is shrouded with various issues that dampen the spirit of researchers. Various significant problems that are being addressed in the literature are energy issues, security issues, bandwidth issues, routing issues, etc. This paper emphasizes the issues of data quality from the data aggregation or fusion process in wireless sensor network. The paper has presented a simple description of data, its essential characteristics, and has discussed some of the significant literature that discusses about enhancing the data quality as well as fault tolerant system in wireless sensor network. Finally, the paper briefs about the research gap that has been identified from the literature review.
Communications in Computer and Information Science, 2018
Till date, the research work in Wireless Sensor Network is mainly inclined towards rectifying the... more Till date, the research work in Wireless Sensor Network is mainly inclined towards rectifying the problem associated with the nodes and protocol associated with it, e.g., energy problems, clustering issue, security loopholes, uncertain traffic, etc. However, there is less emphasis towards the user’s demand, i.e., data quality. As wireless nodes undergo various forms of adverse wireless condition in order to carry out data aggregation, it is quite inevitable that an aggregated data forwarded may not have a good data quality. Therefore, we present a novel clustering technique that concentrates on achieving the lowest possible error. With an aid of analytical modeling, a novel clustering technique is formulated using probability theory that targets the node with higher retention of redundant information so that it can be mitigated effectively. The study outcome shows better data quality of the proposed system.
Advances in Intelligent Systems and Computing, 2018
The future applications include a multi-technology based paradigm, which includes wireless sensor... more The future applications include a multi-technology based paradigm, which includes wireless sensor network, Internet of things and cloud computing to be synchronized for the accurate and real-time analytics. The applications client will be a smart phone user who will request the wireless sensor network data or key data points of sensors through the universal data centers. This paper highlights the problem identification of the sensor data quality and reliability aspects by proposing a model for sensor data quality enhancement (SDQE) by synchronizing the priority of critical data with time factor. The data request prediction based optimization is proposed to maximize the usefulness factor which is the measure of sensor data quality as reliability and minimize the energy consumption. The model is simulated in numerical computing platform and found acceptable response.
Global Journal of Research In Engineering, 2014
2016 International Conference on Communication and Signal Processing (ICCSP), 2016
This paper proposed an adaptive hybrid speech enhancement algorithm to reduce the non-stationary ... more This paper proposed an adaptive hybrid speech enhancement algorithm to reduce the non-stationary noise of a noise contaminated speech. This approach combines the Discrete Cosine Transform (DCT) with an Adaptive Empirical Mode Decomposition (AEMD). The proposed DCT is an extension to the general DCT and the AEMD was developed by adding an extra noise cancellation block for enhancement. The complete approach was carried out in two stages. In the first stage, the noise contaminated speech was enhanced through DCT and adaptive soft thresholding. In second stage, to further reduce the residual noise present in enhanced speech, AEMD was applied through an adaptive noise cancellation block. The performance evaluation of proposed approach was under white and babble noises at various SNR levels.
2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017
In this paper a new technique for design of a linear array of seven elements with non uniform spa... more In this paper a new technique for design of a linear array of seven elements with non uniform spacing and non uniform amplitude excitation to achieve low side-lobe level (SLL) for a chosen beam width is proposed. Inter element spacing between the antenna elements is based on a Genetic Algorithm technique and amplitude excitations are the coefficients of a binomial series. Genetic Algorithm for SLL reduction and achieving low side lobe levels from a linear array of uniform elements is implemented using simulation tools.
2017 International Conference on Computing Methodologies and Communication (ICCMC), 2017
Wireless Sensor Network Systems can be applied to monitor different environments ranging from mil... more Wireless Sensor Network Systems can be applied to monitor different environments ranging from military to civil applications. It has been observed that different protocols required for smooth functioning of the network system are highly application specific. Another important fact is that the communication protocols have significant role in achieving right performance of the network system. In this paper we consider a highly dynamic wireless sensor network system in which the sensor nodes are mobile as well as the base station is also mobile. We propose a hierarchical energy efficient communication protocol for such type of a wireless sensor network namely wireless Sensor system for Hierarchical Information gathering through Virtual triangular Areas (SHIVA). Our approach considers a cluster head set in place of a single cluster head for a cluster. We also follow a novel approach for clustering process. Simulation results show the energy analysis in the system.
Lecture Notes in Electrical Engineering, 2021
Global Journal of Research In Engineering, 2014
Detection of the heartbeat rate and/or respiration rate are very important for most radar based a... more Detection of the heartbeat rate and/or respiration rate are very important for most radar based applications like lie-detection, life-detection etc. The prediction of signal losses is a fundamental aspect in the design of ultra wide-band radars. The effect of body tissues surrounding the heart is important in the design of a radar system used for heartbeat detection. The broad variety of tissues and their frequency dependent behavior makes accurate attenuation prediction very difficult without the support of an appropriate model. In this paper, two frequency dependent planar electromagnetic models viz. intrinsic impedance model (a classical model) and impedance transformation model, both incorporating dispersive dielectric properties are discussed. Signal attenuations in both models are estimated and compared. This estimation can be helpful in the design of an ultra wideband (UWB) radar system meant for cardio-pulmonary activity related applications.
Journal of Advanced Research in Dynamical and Control Systems, 2019
International Journal of Electrical and Computer Engineering (IJECE), 2019
There are various unseen and unpredictable networking states in Wireless Sensor Network (WSN) tha... more There are various unseen and unpredictable networking states in Wireless Sensor Network (WSN) that adversely affect the aggregated data quality. After reviewing the existing approaches of data quality in WSN, it was found that the solutions are quite symptomatic and they are applicable only in a static environment; however their successful applicability on dynamic and upcoming reconfigurable network is still a big question. Moreover, data quality directly affects energy conservation among the nodes. Therefore, the proposed system introduces a simple and novel framework that jointly addresses the data quality and energy efficiency using probability-based design approach. Using a simplified analytical methodology, the proposed system offers solution in the form of selection transmission of an aggergated data on the basis of message priority in order to offer higher data utilization factor. The study outcome shows proposed system offers a good balance between data quality and energy ef...
International Journal of Engineering & Technology, 2018
This paper proposes a new speech enhancement framework to improve the quality of speeches recorde... more This paper proposes a new speech enhancement framework to improve the quality of speeches recorded under adverse acoustic environments based on the speech presence uncertainty. Since the uncertainty evaluation gives a more and clear discrimination about the speech and noise, this paper proposes a new uncertainty evaluation mechanism as a preprocessing mechanism to the noise suppression methods. This mechanism relates with energies of a noisy speech signal and classifies the speech segments and noise segments more perfectly. In addition to the quality enhancement, this approach also reduces the unnecessary computational burden over the speech processing system. Extensive simulations are carried out over the speech signals with different types of non-stationary noises like babble noise, exhibition noise, restaurant noise and train station noises and the performance is measured with the performance metrics namely the Output SNR, AvgSegSNR, PESQ and COMP. The comparative analysis of pr...
International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016
Satellite imageries which comprises of various multispectral spectral bands pertaining to spectra... more Satellite imageries which comprises of various multispectral spectral bands pertaining to spectral and spatial information of the images acquired by latest multispectral sensor technology are rapidly increasing day by day in the recent years for onboard satellite remote sensing applications. A lossy multispectral image compression is desired by the exploitation of the redundancies present in the spatial and spectral information while preserving the vital and crucial information of the image objects to a certain extent. In this paper a novel approach is proposed for lossy multispectral image compression which is an extension to the earlier existing algorithms. In this proposed method the multispectral images are first enhanced with interpolation based super resolution technique to estimate a hi-resolution (HR) image from a low-resolution (LR) input image. Secondly the decorrelated spectral bands transformed by discrete wavelet transform (DWT), which contain maximum entropy, are selected and these representative spectral bands are quantized and encoded using Improved SPIHT (ISPIHT) algorithm. The algorithm has been designed for the optimization of maximum coding efficiency and for high compression ratio of bits per pixel per band when compared with the well known compression techniques.
Journal of Engineering Education Transformations, 2016
The challenges that the engineering education faces today are (1) Lack of demand forecasting of r... more The challenges that the engineering education faces today are (1) Lack of demand forecasting of requirement of different types of engineering, say after a period of 4 years and beyond; (2) Lack of proper training in required skills for direct placement of the students and (3) The number of graduates that may be required for different industries, research labs, educational institutes etc. To meet these challenges, to some extent, we propose a curriculum through which the engineering student is trained in engineering fundamentals, broad specialization and product realization with the participation of the industries (in teaching activities) the forecasting period gets reduced to almost 2 years or less which helps in arriving at reasonable estimates of types of engineers, the number of each type of engineers. Further the curriculum enables the students to be directly employed or with minimum further training and skill up-gradation.
2015 International Conference on Communications and Signal Processing (ICCSP), 2015
Multi spectral images are of high resolution which requires a lot of memory to store and transmit... more Multi spectral images are of high resolution which requires a lot of memory to store and transmit. In order to overcome these limitations compression is applied wherein the fine details of the image will be lost due to the poor quality of image after compression. To reconstruct back the same resolution with same quality involves the super resolution (SR) algorithms. In this paper a fuzzy rule based SR image reconstruction approach is proposed. For the performance evaluation the proposed methodology is been compared against existing algorithms and found that the proposed is yielding better results.
2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015
Journal of Engineering, 2015
A study of ultrawideband pulse propagation modeling through human body for all frequencies from 0... more A study of ultrawideband pulse propagation modeling through human body for all frequencies from 0.1 to 10.5 GHz is presented. Reflection coefficient and signal attenuation are computed from the model considering the variation of heart dimension with respect to time unlike a fixed dimension of heart used in earlier models. The performance of cardiac activity is studied from the change of signal attenuation. This estimation may help in the design of a noninvasive diagnostic system using ultrawideband of frequencies.
2015 International Conference on Signal Processing and Communication Engineering Systems, 2015
This paper presents an electromagnetic wave propagation model of a human thorax and also an estim... more This paper presents an electromagnetic wave propagation model of a human thorax and also an estimation of the propagation characteristics of the model for frequencies ranging from UHF to S-band. As the heart size varies in a cardiac cycle, the characteristic variation of the propagation parameters such as reflection coefficient, signal attenuation etc., which depend on the wave propagation distances and frequency dependent dielectric properties of human body tissues are calculated. This is performed using the analytical impedance transformation method to account for the effect of multiple reflections. This estimation will be useful for the frequency dependent power budget analysis in the design of an ultra-wideband radar based contactless, non-invasive diagnostic tool for study of human cardiac activity.
Lecture notes in networks and systems, 2022
2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016
The area of wireless sensor network (WSN) has always been the pivotal point of attention for vari... more The area of wireless sensor network (WSN) has always been the pivotal point of attention for various researchers for more than a decade. Although WSN is featured with various advantageous characteristics, still it is shrouded with various issues that dampen the spirit of researchers. Various significant problems that are being addressed in the literature are energy issues, security issues, bandwidth issues, routing issues, etc. This paper emphasizes the issues of data quality from the data aggregation or fusion process in wireless sensor network. The paper has presented a simple description of data, its essential characteristics, and has discussed some of the significant literature that discusses about enhancing the data quality as well as fault tolerant system in wireless sensor network. Finally, the paper briefs about the research gap that has been identified from the literature review.
Communications in Computer and Information Science, 2018
Till date, the research work in Wireless Sensor Network is mainly inclined towards rectifying the... more Till date, the research work in Wireless Sensor Network is mainly inclined towards rectifying the problem associated with the nodes and protocol associated with it, e.g., energy problems, clustering issue, security loopholes, uncertain traffic, etc. However, there is less emphasis towards the user’s demand, i.e., data quality. As wireless nodes undergo various forms of adverse wireless condition in order to carry out data aggregation, it is quite inevitable that an aggregated data forwarded may not have a good data quality. Therefore, we present a novel clustering technique that concentrates on achieving the lowest possible error. With an aid of analytical modeling, a novel clustering technique is formulated using probability theory that targets the node with higher retention of redundant information so that it can be mitigated effectively. The study outcome shows better data quality of the proposed system.
Advances in Intelligent Systems and Computing, 2018
The future applications include a multi-technology based paradigm, which includes wireless sensor... more The future applications include a multi-technology based paradigm, which includes wireless sensor network, Internet of things and cloud computing to be synchronized for the accurate and real-time analytics. The applications client will be a smart phone user who will request the wireless sensor network data or key data points of sensors through the universal data centers. This paper highlights the problem identification of the sensor data quality and reliability aspects by proposing a model for sensor data quality enhancement (SDQE) by synchronizing the priority of critical data with time factor. The data request prediction based optimization is proposed to maximize the usefulness factor which is the measure of sensor data quality as reliability and minimize the energy consumption. The model is simulated in numerical computing platform and found acceptable response.
Global Journal of Research In Engineering, 2014
2016 International Conference on Communication and Signal Processing (ICCSP), 2016
This paper proposed an adaptive hybrid speech enhancement algorithm to reduce the non-stationary ... more This paper proposed an adaptive hybrid speech enhancement algorithm to reduce the non-stationary noise of a noise contaminated speech. This approach combines the Discrete Cosine Transform (DCT) with an Adaptive Empirical Mode Decomposition (AEMD). The proposed DCT is an extension to the general DCT and the AEMD was developed by adding an extra noise cancellation block for enhancement. The complete approach was carried out in two stages. In the first stage, the noise contaminated speech was enhanced through DCT and adaptive soft thresholding. In second stage, to further reduce the residual noise present in enhanced speech, AEMD was applied through an adaptive noise cancellation block. The performance evaluation of proposed approach was under white and babble noises at various SNR levels.
2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017
In this paper a new technique for design of a linear array of seven elements with non uniform spa... more In this paper a new technique for design of a linear array of seven elements with non uniform spacing and non uniform amplitude excitation to achieve low side-lobe level (SLL) for a chosen beam width is proposed. Inter element spacing between the antenna elements is based on a Genetic Algorithm technique and amplitude excitations are the coefficients of a binomial series. Genetic Algorithm for SLL reduction and achieving low side lobe levels from a linear array of uniform elements is implemented using simulation tools.
2017 International Conference on Computing Methodologies and Communication (ICCMC), 2017
Wireless Sensor Network Systems can be applied to monitor different environments ranging from mil... more Wireless Sensor Network Systems can be applied to monitor different environments ranging from military to civil applications. It has been observed that different protocols required for smooth functioning of the network system are highly application specific. Another important fact is that the communication protocols have significant role in achieving right performance of the network system. In this paper we consider a highly dynamic wireless sensor network system in which the sensor nodes are mobile as well as the base station is also mobile. We propose a hierarchical energy efficient communication protocol for such type of a wireless sensor network namely wireless Sensor system for Hierarchical Information gathering through Virtual triangular Areas (SHIVA). Our approach considers a cluster head set in place of a single cluster head for a cluster. We also follow a novel approach for clustering process. Simulation results show the energy analysis in the system.
Lecture Notes in Electrical Engineering, 2021
Global Journal of Research In Engineering, 2014
Detection of the heartbeat rate and/or respiration rate are very important for most radar based a... more Detection of the heartbeat rate and/or respiration rate are very important for most radar based applications like lie-detection, life-detection etc. The prediction of signal losses is a fundamental aspect in the design of ultra wide-band radars. The effect of body tissues surrounding the heart is important in the design of a radar system used for heartbeat detection. The broad variety of tissues and their frequency dependent behavior makes accurate attenuation prediction very difficult without the support of an appropriate model. In this paper, two frequency dependent planar electromagnetic models viz. intrinsic impedance model (a classical model) and impedance transformation model, both incorporating dispersive dielectric properties are discussed. Signal attenuations in both models are estimated and compared. This estimation can be helpful in the design of an ultra wideband (UWB) radar system meant for cardio-pulmonary activity related applications.
Journal of Advanced Research in Dynamical and Control Systems, 2019
International Journal of Electrical and Computer Engineering (IJECE), 2019
There are various unseen and unpredictable networking states in Wireless Sensor Network (WSN) tha... more There are various unseen and unpredictable networking states in Wireless Sensor Network (WSN) that adversely affect the aggregated data quality. After reviewing the existing approaches of data quality in WSN, it was found that the solutions are quite symptomatic and they are applicable only in a static environment; however their successful applicability on dynamic and upcoming reconfigurable network is still a big question. Moreover, data quality directly affects energy conservation among the nodes. Therefore, the proposed system introduces a simple and novel framework that jointly addresses the data quality and energy efficiency using probability-based design approach. Using a simplified analytical methodology, the proposed system offers solution in the form of selection transmission of an aggergated data on the basis of message priority in order to offer higher data utilization factor. The study outcome shows proposed system offers a good balance between data quality and energy ef...
International Journal of Engineering & Technology, 2018
This paper proposes a new speech enhancement framework to improve the quality of speeches recorde... more This paper proposes a new speech enhancement framework to improve the quality of speeches recorded under adverse acoustic environments based on the speech presence uncertainty. Since the uncertainty evaluation gives a more and clear discrimination about the speech and noise, this paper proposes a new uncertainty evaluation mechanism as a preprocessing mechanism to the noise suppression methods. This mechanism relates with energies of a noisy speech signal and classifies the speech segments and noise segments more perfectly. In addition to the quality enhancement, this approach also reduces the unnecessary computational burden over the speech processing system. Extensive simulations are carried out over the speech signals with different types of non-stationary noises like babble noise, exhibition noise, restaurant noise and train station noises and the performance is measured with the performance metrics namely the Output SNR, AvgSegSNR, PESQ and COMP. The comparative analysis of pr...
International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016
Satellite imageries which comprises of various multispectral spectral bands pertaining to spectra... more Satellite imageries which comprises of various multispectral spectral bands pertaining to spectral and spatial information of the images acquired by latest multispectral sensor technology are rapidly increasing day by day in the recent years for onboard satellite remote sensing applications. A lossy multispectral image compression is desired by the exploitation of the redundancies present in the spatial and spectral information while preserving the vital and crucial information of the image objects to a certain extent. In this paper a novel approach is proposed for lossy multispectral image compression which is an extension to the earlier existing algorithms. In this proposed method the multispectral images are first enhanced with interpolation based super resolution technique to estimate a hi-resolution (HR) image from a low-resolution (LR) input image. Secondly the decorrelated spectral bands transformed by discrete wavelet transform (DWT), which contain maximum entropy, are selected and these representative spectral bands are quantized and encoded using Improved SPIHT (ISPIHT) algorithm. The algorithm has been designed for the optimization of maximum coding efficiency and for high compression ratio of bits per pixel per band when compared with the well known compression techniques.
Journal of Engineering Education Transformations, 2016
The challenges that the engineering education faces today are (1) Lack of demand forecasting of r... more The challenges that the engineering education faces today are (1) Lack of demand forecasting of requirement of different types of engineering, say after a period of 4 years and beyond; (2) Lack of proper training in required skills for direct placement of the students and (3) The number of graduates that may be required for different industries, research labs, educational institutes etc. To meet these challenges, to some extent, we propose a curriculum through which the engineering student is trained in engineering fundamentals, broad specialization and product realization with the participation of the industries (in teaching activities) the forecasting period gets reduced to almost 2 years or less which helps in arriving at reasonable estimates of types of engineers, the number of each type of engineers. Further the curriculum enables the students to be directly employed or with minimum further training and skill up-gradation.
2015 International Conference on Communications and Signal Processing (ICCSP), 2015
Multi spectral images are of high resolution which requires a lot of memory to store and transmit... more Multi spectral images are of high resolution which requires a lot of memory to store and transmit. In order to overcome these limitations compression is applied wherein the fine details of the image will be lost due to the poor quality of image after compression. To reconstruct back the same resolution with same quality involves the super resolution (SR) algorithms. In this paper a fuzzy rule based SR image reconstruction approach is proposed. For the performance evaluation the proposed methodology is been compared against existing algorithms and found that the proposed is yielding better results.
2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015
Journal of Engineering, 2015
A study of ultrawideband pulse propagation modeling through human body for all frequencies from 0... more A study of ultrawideband pulse propagation modeling through human body for all frequencies from 0.1 to 10.5 GHz is presented. Reflection coefficient and signal attenuation are computed from the model considering the variation of heart dimension with respect to time unlike a fixed dimension of heart used in earlier models. The performance of cardiac activity is studied from the change of signal attenuation. This estimation may help in the design of a noninvasive diagnostic system using ultrawideband of frequencies.
2015 International Conference on Signal Processing and Communication Engineering Systems, 2015
This paper presents an electromagnetic wave propagation model of a human thorax and also an estim... more This paper presents an electromagnetic wave propagation model of a human thorax and also an estimation of the propagation characteristics of the model for frequencies ranging from UHF to S-band. As the heart size varies in a cardiac cycle, the characteristic variation of the propagation parameters such as reflection coefficient, signal attenuation etc., which depend on the wave propagation distances and frequency dependent dielectric properties of human body tissues are calculated. This is performed using the analytical impedance transformation method to account for the effect of multiple reflections. This estimation will be useful for the frequency dependent power budget analysis in the design of an ultra-wideband radar based contactless, non-invasive diagnostic tool for study of human cardiac activity.