Meenakshi Sood | National Institute oF Technical Teachers' traing and Resaerch, Chandigarh (original) (raw)
Papers by Meenakshi Sood
2021 Sixth International Conference on Image Information Processing (ICIIP), 2021
Perovskite may be regarded as the solar industry's backbone due to their outstanding digital,... more Perovskite may be regarded as the solar industry's backbone due to their outstanding digital, electrical, optical, and mechanical properties.The introduction of novel mixed Methylammonium Tin Triiodide (MASnI3) perovskites resulted in an improvement in solar spectrum absorption elongation over lead-halide perovskites,extending the absorption onset down to near- IR.As Tin based organohalide perovskitescanimprove lead-based materials, we apply tin compounds for construction of proposed perovskite.For different models, the absorber’s layer thickness and defect density were varied in different ranges.Thesehave been compared in this paper. After examining numerous arrangements of solar cells, it is observed that TCO/PCBM/MASnI3/CuSbS2shows betterperformance, with a short-circuit current density (Jsc) of 35.268 mA/cm2, Power Conversion Efficiency (PCE) of 37.61%, open circuit voltage (Voc) of 1.1897Volts and Fill Factor(FF) of 89.63%.The solar cell models TCO/TiO2/MASnI3/Spiro-MeOTADandTCO/ZnO/MASnI3/NiO each has a PCE of 32.55%.Thermal stability value indicatesthat device is stable at 300 k.
Innovations in Information and Communication Technologies (IICT-2020), 2021
Speech has been an integral part of human life acting as one of the five primitive senses of the ... more Speech has been an integral part of human life acting as one of the five primitive senses of the human body. As such any software or application based upon speech recognition has a high degree of acceptance and a wide range of applications in defense, security, health care, and home automation. Speech is a waffling signal with varying characteristics at a high rate. When examined over a very short scale of time, it can be considered as a stationary signal with very small variations. In this paper, authors have worked upon the detection of a single user using multiple isolated words as speech signals. For designing the system, feature extraction using Mel-frequency cepstral coefficients (MFCCs) and feature matching using dynamic time warping (DTW) are considered as the designing of the system because of its simplicity and efficiency. Short-time spectral analysis is adopted which is the main part of the MFCC algorithm used in feature extraction. To compare any two signals varying in speed or having phase difference between them, DTW is used. Since two spoken words can never be the same, the DTW algorithm is best suited to compare two words.
2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC), 2018
Retinopathy is a retinal vascular disease caused by abnormal blood flow that damages the retina a... more Retinopathy is a retinal vascular disease caused by abnormal blood flow that damages the retina and it accounts for 5% of blindness worldwide. There are different causes of Retinopathy as retinopathy of prematurity, diabetic retinopathy and hypertensive retinopathy; this paper mainly focuses on pre-processing techniques employed for the detection of diabetic retinopathy. In this work, literatures reporting different methods for automated diabetic retinopathy detection in color images of retina are analyzed for their strength and shortcoming. Extensive techniques for retinal image screening have been published so far thus this paper presents the evaluation of these methods on a common database of image screening. Different image pre-processing techniques are implemented on fundus images and their performance is compared using performance metrics like mean square error, peak signal to noise ratio and root mean square error. Pre-processing steps used in this work can also be applied to other images of interest to identify and recognize the objects in an image.
2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)
This paper presents the review of the biomedical system which consists of an energy source, signa... more This paper presents the review of the biomedical system which consists of an energy source, signal processing, signal conditioning and signal transmission. Each of these blocks are designed for compressed area, minimum energy consumption, and high operating speed. Various techniques have been attempted to optimize the device. These techniques are mainly divided in to four aspects: (1) increasing the longevity of device using energy harvesting approaches; (2) reducing the delay to enhance the operating frequency; (3) reducing the data storage using data compression; (4)increasing the data rate transmission with reduced power consumption. This review paper briefly summarizes the various techniques and device performance achieved by these techniques.
2017 4th International Conference on Signal Processing and Integrated Networks (SPIN)
The paper exhaustively, proposes the development of a surveillance system with the help of a huma... more The paper exhaustively, proposes the development of a surveillance system with the help of a humanoid robot named as “SMART BOT” using Arduino microcontroller. The research goal of SMART BOT is to develop a handy, affordable robot for daily use which can be used for tailing inaccessible routes. The robot is controlled through connected phone's motion input and has a spherical plot approximation of the surroundings which is far from human reach. It is compact, low-priced, effective, expansible, and mobile humanoid robot. This motion activated robot is hands-free and its fast data input operations via mobile phone and judgment of the surrounding is advantageous to elevate user's physical reach. Additionally, this bot can be used for overall educational purposes where such bots are developed to aid the user in everyday routine lifestyle and for many other purposes. The results prove that proposed robot is capable of understanding the gestures of handheld device's commands and move accordingly.
This paper presents the review of the biomedical system which consists of an energy source, signa... more This paper presents the review of the biomedical system which consists of an energy source, signal processing, signal conditioning and signal transmission. These blocks are designed by various optimization techniques to achieve high operating speed, compressed area and minimum energy consumption. These techniques are mainly divided in to four aspects: (a) increasing the longevity of device using energy harvesting approaches; (b) reducing the delay to enhance the operating frequency; (c) reducing the data storage using data compression; (d) increasing the data rate transmission with reduced power consumption. This review paper briefly summarizes the various techniques and device performance achieved by these techniques. To attain these high performance systems input played a vital role. This paper also presents the different low pass IIR filter approximation method techniques to remove Electromyography noise from ECG input signal. For this purpose, we have taken MIT-BIH Arrhythmia da...
Multimedia Tools and Applications, 2021
Advanced image scanning techniques produce high resolution medical images such as CT, MRI which i... more Advanced image scanning techniques produce high resolution medical images such as CT, MRI which in turn needs large storage space and bandwidth for transmitting over a network. Lossless compression is preferred for medical images to preserve important diagnostic details. However, it is only sufficient to maintain the high quality of an image in a diagnostically important region, namely Region of interest (ROI) for an accurate diagnosis. Non -ROI portion when compressed near-losslessly does not affect the image quality but reduces the file size effectively. We propose a compression technique where the prediction is done by Resolution Independent Gradient Edge Detector (RIGED) to de-correlate the image pixels and block-based arithmetic coding is used for encoding. The optimal threshold value, optimal q-level and the block-based coding removes inter-pixel, psycho-visual and coding redundancy from non-ROI part to achieve high compression whereas ROI part is compressed losslessly by remo...
Communications in Computer and Information Science, 2018
Diabetic Retinopathy that is characterised by the progressive deterioration in retinal blood vess... more Diabetic Retinopathy that is characterised by the progressive deterioration in retinal blood vessels is considered the root cause of severe vision loss in diabetic patients. This situation can be reduced upto much extent by regular screening and diagnosis. Precise automatic segmentation of optical disc and automated blood vessel extraction results in effective diagnosis of diabetic retinopathy reducing the chances of vision loss. A considerable progress has been made by various researchers towards automating the ophthalmic image processing via computer aided screening but maintaining the image quality as that of the original fundus image is still a challenge. In this paper, authors have evaluated Optical Disc Segmentation methods based on thresholding, region growing algorithm and mathematical morphology for effective removal of optical disc to facilitate blood vessel extraction. A new blood vessel extraction technique using Mathematical Morphology and Fuzzy Algorithm is proposed fo...
Electroencephalogram (EEG) is a time varying brain electrical activity, highly sensitive and give... more Electroencephalogram (EEG) is a time varying brain electrical activity, highly sensitive and gives a coarse view of neural activity. It has been used to study cognitive processes and the physiology of the brain. EEG recordings are distorted by physiological and non- physiological signals causing problems to the clinicians, neuropsychologist and researchers for analysis, interpretation and diagnosis. Artifacts, compromise investigation by masking effects of interest or diminish specificity by masquerading as a neurogenic effect. Advances in signal processing have brought significant improvement in removal of these artifacts from the recorded EEG. The possible ocular artifacts are of great significance and concern as they contaminate the signal to a larger extent. The objective of this paper is to present a detailed survey of the published literature of various techniques for the removal of the various artifacts, especially artifact due to movement of eyes. An evaluation of various de...
This paper dwells on the notion that the designing of networks must escalate from applying just a... more This paper dwells on the notion that the designing of networks must escalate from applying just a basic set of rules, to utilizing the myriads of technologies now available to us, the plethora of services whose provision to end users is now possible and the nuances that emerge by the combination of the different technologies and services. To adapt to the changes in network designing, we propose an architecture for campus network design using state of the art technologies such as Ether Channels, VoIP (Voice over Internet Protocol), VPN (Virtual Private Network), Wi-Fi, redistribution of protocols, Link Redundancy and ISP Redundancy. The network architecture has been designed on Cisco's network simulation software: Cisco Packet Tracer. The proposed design is an enhancement of the existing network architecture of Jaypee University of Information Technology. The design can be utilized while laying down the LAN architecture of any other campus, be that a University, Corporate office ...
Image segmentation is a part of image processing for region or object extraction from the backgro... more Image segmentation is a part of image processing for region or object extraction from the background area. Owing to the complex background, contrast of the infected portion, low intensity difference values, intricate inner body parts etc.; the problem of region extraction in segmentation is very challenging. Among various image segmentation techniques, thresholding is one of the simplest techniques, in which the region of interest is extracted from the background by comparing the pixel values with the threshold value. The threshold value is obtained from histogram of the image. The technique presented in the paper involves graph cut method in which the initial centroids are automatically selected by exploiting the symmetrical nature of the MRI images. The results obtained by the thresholding technique in this research work shows that any abnormality can be localized easily in horizontal divided MRI brain image rather than in vertical divided MRI image. Graph cut results show better ...
2019 5th International Conference on Signal Processing, Computing and Control (ISPCC), 2019
Automated Diabetic Retinopathy (DR) detection, screening and diagnosis are critical to save visio... more Automated Diabetic Retinopathy (DR) detection, screening and diagnosis are critical to save vision loss of patients and assist the ophthalmologists in mass screening. DR screening aims at early treatment of the disease by detecting it before the stage progresses. Present DR analysis systems use digital fundus images for diagnosis reducing the high cost of manual computation. Researchers are continuously persisting for automated screening systems which can reduce the subjective interpretation and screening burdens for ophthalmologists. This paper proposes different Convolutional Neural Network (CNN) architectures with parameter tuning for DR classification. The proposed approach overcomes the class imbalance problem by fine tuning the network parameters. Different filter size variations are considered in the design and their altering response are analyzed at the classification output layer on a benchmark retinal image dataset. CNN model proposed in this paper provides an accuracy of ...
The global energy problem due to population growth, industrialization, and depletion of natural r... more The global energy problem due to population growth, industrialization, and depletion of natural resources and environmental issues is a cause of concern. A lot of active research on energy harvesting from waste heat from various sources is being done. The prime concern is to not only reduce the wastage of energy resources but also recycle the energy resources. This will also mitigate the carbon footprints of the environment. A high potential for harvesting the energy lies in the energy obtained from household chores. The energy recycled from waste energy can be made sufficient enough required for microelectronic devices. In this research work, a novel module is designed to generate energy by utilizing the heat obtained from household cooking stoves or chullahs. The designed module employs a thermoelectric energy system coupled with heat sink, DC-DC converter, and booster circuits. Three different modules were designed by modifying different key parameters, and the performance of an ...
Int. J. Image Graph., 2020
Electrocardiography (ECG) signals provides assistance to the cardiologists for identification of ... more Electrocardiography (ECG) signals provides assistance to the cardiologists for identification of various cardiovascular diseases (CVD). ECG machine records the electrical activity of the heart with...
International Journal of Computer Aided Engineering and Technology
Speech is the most common and efficient mode of communication and has large potential of being a ... more Speech is the most common and efficient mode of communication and has large potential of being a mode of interaction with machine/computer. To communicate with the machine via speech we require an interface which replicates the human auditory system. An Automatic Speech Recognition (ASR) system is required which is able to "hear," understand," and "act upon" spoken information. This paper focuses on developing the speech recognition module and integrating it with robotics wirelessly. Our goal is to develop an interactive robot which performs actions in accordance with the voice commands communicated wirelessly to the robot after being processed in the ASR module which is speaker dependent and has a pre-defined command set. The system would support many valuable applications like replacing a human assistant with a robot which can perform actions according to voice command in more efficient manner.
A technique of analysis of Electroencephalogram signals using wavelet transform and classificatio... more A technique of analysis of Electroencephalogram signals using wavelet transform and classification using machine learning techniques is developed in this research work. EEG signals are non-stationary that makes the visual analysis time-consuming and may lack quantitative analysis to uncover hidden characteristics of the signals. Artificial Neural Networks along with wavelets provide functions for synthesizing and analyzing the signals and data that exhibits regular behavior punctuated with abrupt changes. This research work concentrates on discrimination between two classes of EEG signals; one acquired from healthy persons and other from epileptic patients. T his article proposes a method for analyzing the brain signals by reliable extraction of attributes using different mother wavelets as Haa r, Coifle t, Daubechies and Sym let and classification of epilepsy disorder using neural networks. An exhaustive analysis points to best suited mother wavelet to extract the attributes that further act as input the machine learning algorithm. The empirical results obtained in this research work indicate that the proposed NN-D ensemble classification method yielded maximum classification accuracy of 99.4% as compared to other ensembles. Hence, it shows the effectiveness of the proposed method for classification of epileptic EEG signals.
In this paper design and analysis of a balanced branch line coupler is presented with arbitrary i... more In this paper design and analysis of a balanced branch line coupler is presented with arbitrary impedance. Branch line coupler is configured by four quarter wavelength transmission line. The design achieved desired functions of branch-line coupler for differential-mode and common-mode signal with the merits of a simple configuration and a design method, low insertion loss, and low cost. Design parameters present in the equations provides two degree of freedom. In this paper, power at the output ports is considered as a known parameter. The power division is obtained at the output using impedance values. Isolation achieved for the unequal power division is less than 20dB. A good agreement is obtained between numerical and full wave electromagnetic simulation results.
The brain signals are generated in all mental states, normal as well as abnormal. EEG has capabil... more The brain signals are generated in all mental states, normal as well as abnormal. EEG has capability to reflect all the activity of the brain, so it has been found to be a very powerful tool in the field of neurology and clinical neurophysiology [38]. Despite the fact that EEG is an important clinical tool for diagnosing, monitoring and managing neurological disorders, distinct difficulties associated with EEG analysis and interpretation hindered its wide-spread acceptance. Hence, it is imperative to analyze the EEG signals using a consistent and appropriate processing method in order to obtain correct diagnoses for the treatment of epilepsy.
In the present study, an attempt has been made to generate information on genetic variability usi... more In the present study, an attempt has been made to generate information on genetic variability using 55 Byadgi Dabbi ecotypes collected from different locations along with one local check. The variability, heritability and genetic advancement over the mean were performed for 16 selected parameters among the selected Byadgi ecotypes of chilli at Horticultural Research and Extension Station, Devihosur (Haveri). Higher phenotypic coefficient of variation is observed over genotypic coefficient of variation for all the traits studied, indicating the predominance of environment over the genetic parameters. Higher GCV and PCV were observed for Number of fruits per plant, stalk to fruit ratio, plant yield, capsaicin and oleoresin content of fruit. High heritability coupled with high GAM was observed for number of fruits per plant, stalk length, stalk to fruit ratio, plant yield, dry matter content, capsaicin content and oleoresin content. So, these traits imply the potential for crop improve...
2021 Sixth International Conference on Image Information Processing (ICIIP), 2021
Perovskite may be regarded as the solar industry's backbone due to their outstanding digital,... more Perovskite may be regarded as the solar industry's backbone due to their outstanding digital, electrical, optical, and mechanical properties.The introduction of novel mixed Methylammonium Tin Triiodide (MASnI3) perovskites resulted in an improvement in solar spectrum absorption elongation over lead-halide perovskites,extending the absorption onset down to near- IR.As Tin based organohalide perovskitescanimprove lead-based materials, we apply tin compounds for construction of proposed perovskite.For different models, the absorber’s layer thickness and defect density were varied in different ranges.Thesehave been compared in this paper. After examining numerous arrangements of solar cells, it is observed that TCO/PCBM/MASnI3/CuSbS2shows betterperformance, with a short-circuit current density (Jsc) of 35.268 mA/cm2, Power Conversion Efficiency (PCE) of 37.61%, open circuit voltage (Voc) of 1.1897Volts and Fill Factor(FF) of 89.63%.The solar cell models TCO/TiO2/MASnI3/Spiro-MeOTADandTCO/ZnO/MASnI3/NiO each has a PCE of 32.55%.Thermal stability value indicatesthat device is stable at 300 k.
Innovations in Information and Communication Technologies (IICT-2020), 2021
Speech has been an integral part of human life acting as one of the five primitive senses of the ... more Speech has been an integral part of human life acting as one of the five primitive senses of the human body. As such any software or application based upon speech recognition has a high degree of acceptance and a wide range of applications in defense, security, health care, and home automation. Speech is a waffling signal with varying characteristics at a high rate. When examined over a very short scale of time, it can be considered as a stationary signal with very small variations. In this paper, authors have worked upon the detection of a single user using multiple isolated words as speech signals. For designing the system, feature extraction using Mel-frequency cepstral coefficients (MFCCs) and feature matching using dynamic time warping (DTW) are considered as the designing of the system because of its simplicity and efficiency. Short-time spectral analysis is adopted which is the main part of the MFCC algorithm used in feature extraction. To compare any two signals varying in speed or having phase difference between them, DTW is used. Since two spoken words can never be the same, the DTW algorithm is best suited to compare two words.
2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC), 2018
Retinopathy is a retinal vascular disease caused by abnormal blood flow that damages the retina a... more Retinopathy is a retinal vascular disease caused by abnormal blood flow that damages the retina and it accounts for 5% of blindness worldwide. There are different causes of Retinopathy as retinopathy of prematurity, diabetic retinopathy and hypertensive retinopathy; this paper mainly focuses on pre-processing techniques employed for the detection of diabetic retinopathy. In this work, literatures reporting different methods for automated diabetic retinopathy detection in color images of retina are analyzed for their strength and shortcoming. Extensive techniques for retinal image screening have been published so far thus this paper presents the evaluation of these methods on a common database of image screening. Different image pre-processing techniques are implemented on fundus images and their performance is compared using performance metrics like mean square error, peak signal to noise ratio and root mean square error. Pre-processing steps used in this work can also be applied to other images of interest to identify and recognize the objects in an image.
2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)
This paper presents the review of the biomedical system which consists of an energy source, signa... more This paper presents the review of the biomedical system which consists of an energy source, signal processing, signal conditioning and signal transmission. Each of these blocks are designed for compressed area, minimum energy consumption, and high operating speed. Various techniques have been attempted to optimize the device. These techniques are mainly divided in to four aspects: (1) increasing the longevity of device using energy harvesting approaches; (2) reducing the delay to enhance the operating frequency; (3) reducing the data storage using data compression; (4)increasing the data rate transmission with reduced power consumption. This review paper briefly summarizes the various techniques and device performance achieved by these techniques.
2017 4th International Conference on Signal Processing and Integrated Networks (SPIN)
The paper exhaustively, proposes the development of a surveillance system with the help of a huma... more The paper exhaustively, proposes the development of a surveillance system with the help of a humanoid robot named as “SMART BOT” using Arduino microcontroller. The research goal of SMART BOT is to develop a handy, affordable robot for daily use which can be used for tailing inaccessible routes. The robot is controlled through connected phone's motion input and has a spherical plot approximation of the surroundings which is far from human reach. It is compact, low-priced, effective, expansible, and mobile humanoid robot. This motion activated robot is hands-free and its fast data input operations via mobile phone and judgment of the surrounding is advantageous to elevate user's physical reach. Additionally, this bot can be used for overall educational purposes where such bots are developed to aid the user in everyday routine lifestyle and for many other purposes. The results prove that proposed robot is capable of understanding the gestures of handheld device's commands and move accordingly.
This paper presents the review of the biomedical system which consists of an energy source, signa... more This paper presents the review of the biomedical system which consists of an energy source, signal processing, signal conditioning and signal transmission. These blocks are designed by various optimization techniques to achieve high operating speed, compressed area and minimum energy consumption. These techniques are mainly divided in to four aspects: (a) increasing the longevity of device using energy harvesting approaches; (b) reducing the delay to enhance the operating frequency; (c) reducing the data storage using data compression; (d) increasing the data rate transmission with reduced power consumption. This review paper briefly summarizes the various techniques and device performance achieved by these techniques. To attain these high performance systems input played a vital role. This paper also presents the different low pass IIR filter approximation method techniques to remove Electromyography noise from ECG input signal. For this purpose, we have taken MIT-BIH Arrhythmia da...
Multimedia Tools and Applications, 2021
Advanced image scanning techniques produce high resolution medical images such as CT, MRI which i... more Advanced image scanning techniques produce high resolution medical images such as CT, MRI which in turn needs large storage space and bandwidth for transmitting over a network. Lossless compression is preferred for medical images to preserve important diagnostic details. However, it is only sufficient to maintain the high quality of an image in a diagnostically important region, namely Region of interest (ROI) for an accurate diagnosis. Non -ROI portion when compressed near-losslessly does not affect the image quality but reduces the file size effectively. We propose a compression technique where the prediction is done by Resolution Independent Gradient Edge Detector (RIGED) to de-correlate the image pixels and block-based arithmetic coding is used for encoding. The optimal threshold value, optimal q-level and the block-based coding removes inter-pixel, psycho-visual and coding redundancy from non-ROI part to achieve high compression whereas ROI part is compressed losslessly by remo...
Communications in Computer and Information Science, 2018
Diabetic Retinopathy that is characterised by the progressive deterioration in retinal blood vess... more Diabetic Retinopathy that is characterised by the progressive deterioration in retinal blood vessels is considered the root cause of severe vision loss in diabetic patients. This situation can be reduced upto much extent by regular screening and diagnosis. Precise automatic segmentation of optical disc and automated blood vessel extraction results in effective diagnosis of diabetic retinopathy reducing the chances of vision loss. A considerable progress has been made by various researchers towards automating the ophthalmic image processing via computer aided screening but maintaining the image quality as that of the original fundus image is still a challenge. In this paper, authors have evaluated Optical Disc Segmentation methods based on thresholding, region growing algorithm and mathematical morphology for effective removal of optical disc to facilitate blood vessel extraction. A new blood vessel extraction technique using Mathematical Morphology and Fuzzy Algorithm is proposed fo...
Electroencephalogram (EEG) is a time varying brain electrical activity, highly sensitive and give... more Electroencephalogram (EEG) is a time varying brain electrical activity, highly sensitive and gives a coarse view of neural activity. It has been used to study cognitive processes and the physiology of the brain. EEG recordings are distorted by physiological and non- physiological signals causing problems to the clinicians, neuropsychologist and researchers for analysis, interpretation and diagnosis. Artifacts, compromise investigation by masking effects of interest or diminish specificity by masquerading as a neurogenic effect. Advances in signal processing have brought significant improvement in removal of these artifacts from the recorded EEG. The possible ocular artifacts are of great significance and concern as they contaminate the signal to a larger extent. The objective of this paper is to present a detailed survey of the published literature of various techniques for the removal of the various artifacts, especially artifact due to movement of eyes. An evaluation of various de...
This paper dwells on the notion that the designing of networks must escalate from applying just a... more This paper dwells on the notion that the designing of networks must escalate from applying just a basic set of rules, to utilizing the myriads of technologies now available to us, the plethora of services whose provision to end users is now possible and the nuances that emerge by the combination of the different technologies and services. To adapt to the changes in network designing, we propose an architecture for campus network design using state of the art technologies such as Ether Channels, VoIP (Voice over Internet Protocol), VPN (Virtual Private Network), Wi-Fi, redistribution of protocols, Link Redundancy and ISP Redundancy. The network architecture has been designed on Cisco's network simulation software: Cisco Packet Tracer. The proposed design is an enhancement of the existing network architecture of Jaypee University of Information Technology. The design can be utilized while laying down the LAN architecture of any other campus, be that a University, Corporate office ...
Image segmentation is a part of image processing for region or object extraction from the backgro... more Image segmentation is a part of image processing for region or object extraction from the background area. Owing to the complex background, contrast of the infected portion, low intensity difference values, intricate inner body parts etc.; the problem of region extraction in segmentation is very challenging. Among various image segmentation techniques, thresholding is one of the simplest techniques, in which the region of interest is extracted from the background by comparing the pixel values with the threshold value. The threshold value is obtained from histogram of the image. The technique presented in the paper involves graph cut method in which the initial centroids are automatically selected by exploiting the symmetrical nature of the MRI images. The results obtained by the thresholding technique in this research work shows that any abnormality can be localized easily in horizontal divided MRI brain image rather than in vertical divided MRI image. Graph cut results show better ...
2019 5th International Conference on Signal Processing, Computing and Control (ISPCC), 2019
Automated Diabetic Retinopathy (DR) detection, screening and diagnosis are critical to save visio... more Automated Diabetic Retinopathy (DR) detection, screening and diagnosis are critical to save vision loss of patients and assist the ophthalmologists in mass screening. DR screening aims at early treatment of the disease by detecting it before the stage progresses. Present DR analysis systems use digital fundus images for diagnosis reducing the high cost of manual computation. Researchers are continuously persisting for automated screening systems which can reduce the subjective interpretation and screening burdens for ophthalmologists. This paper proposes different Convolutional Neural Network (CNN) architectures with parameter tuning for DR classification. The proposed approach overcomes the class imbalance problem by fine tuning the network parameters. Different filter size variations are considered in the design and their altering response are analyzed at the classification output layer on a benchmark retinal image dataset. CNN model proposed in this paper provides an accuracy of ...
The global energy problem due to population growth, industrialization, and depletion of natural r... more The global energy problem due to population growth, industrialization, and depletion of natural resources and environmental issues is a cause of concern. A lot of active research on energy harvesting from waste heat from various sources is being done. The prime concern is to not only reduce the wastage of energy resources but also recycle the energy resources. This will also mitigate the carbon footprints of the environment. A high potential for harvesting the energy lies in the energy obtained from household chores. The energy recycled from waste energy can be made sufficient enough required for microelectronic devices. In this research work, a novel module is designed to generate energy by utilizing the heat obtained from household cooking stoves or chullahs. The designed module employs a thermoelectric energy system coupled with heat sink, DC-DC converter, and booster circuits. Three different modules were designed by modifying different key parameters, and the performance of an ...
Int. J. Image Graph., 2020
Electrocardiography (ECG) signals provides assistance to the cardiologists for identification of ... more Electrocardiography (ECG) signals provides assistance to the cardiologists for identification of various cardiovascular diseases (CVD). ECG machine records the electrical activity of the heart with...
International Journal of Computer Aided Engineering and Technology
Speech is the most common and efficient mode of communication and has large potential of being a ... more Speech is the most common and efficient mode of communication and has large potential of being a mode of interaction with machine/computer. To communicate with the machine via speech we require an interface which replicates the human auditory system. An Automatic Speech Recognition (ASR) system is required which is able to "hear," understand," and "act upon" spoken information. This paper focuses on developing the speech recognition module and integrating it with robotics wirelessly. Our goal is to develop an interactive robot which performs actions in accordance with the voice commands communicated wirelessly to the robot after being processed in the ASR module which is speaker dependent and has a pre-defined command set. The system would support many valuable applications like replacing a human assistant with a robot which can perform actions according to voice command in more efficient manner.
A technique of analysis of Electroencephalogram signals using wavelet transform and classificatio... more A technique of analysis of Electroencephalogram signals using wavelet transform and classification using machine learning techniques is developed in this research work. EEG signals are non-stationary that makes the visual analysis time-consuming and may lack quantitative analysis to uncover hidden characteristics of the signals. Artificial Neural Networks along with wavelets provide functions for synthesizing and analyzing the signals and data that exhibits regular behavior punctuated with abrupt changes. This research work concentrates on discrimination between two classes of EEG signals; one acquired from healthy persons and other from epileptic patients. T his article proposes a method for analyzing the brain signals by reliable extraction of attributes using different mother wavelets as Haa r, Coifle t, Daubechies and Sym let and classification of epilepsy disorder using neural networks. An exhaustive analysis points to best suited mother wavelet to extract the attributes that further act as input the machine learning algorithm. The empirical results obtained in this research work indicate that the proposed NN-D ensemble classification method yielded maximum classification accuracy of 99.4% as compared to other ensembles. Hence, it shows the effectiveness of the proposed method for classification of epileptic EEG signals.
In this paper design and analysis of a balanced branch line coupler is presented with arbitrary i... more In this paper design and analysis of a balanced branch line coupler is presented with arbitrary impedance. Branch line coupler is configured by four quarter wavelength transmission line. The design achieved desired functions of branch-line coupler for differential-mode and common-mode signal with the merits of a simple configuration and a design method, low insertion loss, and low cost. Design parameters present in the equations provides two degree of freedom. In this paper, power at the output ports is considered as a known parameter. The power division is obtained at the output using impedance values. Isolation achieved for the unequal power division is less than 20dB. A good agreement is obtained between numerical and full wave electromagnetic simulation results.
The brain signals are generated in all mental states, normal as well as abnormal. EEG has capabil... more The brain signals are generated in all mental states, normal as well as abnormal. EEG has capability to reflect all the activity of the brain, so it has been found to be a very powerful tool in the field of neurology and clinical neurophysiology [38]. Despite the fact that EEG is an important clinical tool for diagnosing, monitoring and managing neurological disorders, distinct difficulties associated with EEG analysis and interpretation hindered its wide-spread acceptance. Hence, it is imperative to analyze the EEG signals using a consistent and appropriate processing method in order to obtain correct diagnoses for the treatment of epilepsy.
In the present study, an attempt has been made to generate information on genetic variability usi... more In the present study, an attempt has been made to generate information on genetic variability using 55 Byadgi Dabbi ecotypes collected from different locations along with one local check. The variability, heritability and genetic advancement over the mean were performed for 16 selected parameters among the selected Byadgi ecotypes of chilli at Horticultural Research and Extension Station, Devihosur (Haveri). Higher phenotypic coefficient of variation is observed over genotypic coefficient of variation for all the traits studied, indicating the predominance of environment over the genetic parameters. Higher GCV and PCV were observed for Number of fruits per plant, stalk to fruit ratio, plant yield, capsaicin and oleoresin content of fruit. High heritability coupled with high GAM was observed for number of fruits per plant, stalk length, stalk to fruit ratio, plant yield, dry matter content, capsaicin content and oleoresin content. So, these traits imply the potential for crop improve...