Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725958
Manisha Kowdiki, A. Khaparde
Nowadays, dynamic hand gesture recognition has become a complicated work in the recognition of pattern and the communities with consideration of computer vision. This paper tempts to frame an algorithmic analysis on proposed “static and dynamic-oriented hand gesture recognition”. Moreover, the recognition of static and dynamic models is improved by Dynamic Time Warping (DTW) model. In the phase called pre-processing, “grey scale conversion and histogram equalization” is used, whereas, in segmentation, “Active Contour model, and canny edge detection” is employed. Moreover, the significant features are extracted depending on the “Histogram of Oriented Gradients (HOG), and Edge Oriented Histogram (EOH)”, and the feature dimension is reduced by Principle Component Analysis (PCA). The optimal feature selection technique is adopted by the novel “Deer Hunting-based Grey Wolf Optimization (DH-GWO)”. Moreover, the “significant frames in the video” are eliminated by the DTW pattern. Finally, the characters and words are exactly recognized by Neural Network (NN), using the DH-GWO training. Here, the analysis is carried out by varying the random number $e$ from 0.5 to 3.0 of the proposed DH-GWO.
{"title":"Algorithmic Analysis on Deer Hunting-based Grey Wolf for Dynamic Time Wrapping-based Hand Gesture Recognition","authors":"Manisha Kowdiki, A. Khaparde","doi":"10.1109/ICONAT53423.2022.9725958","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725958","url":null,"abstract":"Nowadays, dynamic hand gesture recognition has become a complicated work in the recognition of pattern and the communities with consideration of computer vision. This paper tempts to frame an algorithmic analysis on proposed “static and dynamic-oriented hand gesture recognition”. Moreover, the recognition of static and dynamic models is improved by Dynamic Time Warping (DTW) model. In the phase called pre-processing, “grey scale conversion and histogram equalization” is used, whereas, in segmentation, “Active Contour model, and canny edge detection” is employed. Moreover, the significant features are extracted depending on the “Histogram of Oriented Gradients (HOG), and Edge Oriented Histogram (EOH)”, and the feature dimension is reduced by Principle Component Analysis (PCA). The optimal feature selection technique is adopted by the novel “Deer Hunting-based Grey Wolf Optimization (DH-GWO)”. Moreover, the “significant frames in the video” are eliminated by the DTW pattern. Finally, the characters and words are exactly recognized by Neural Network (NN), using the DH-GWO training. Here, the analysis is carried out by varying the random number $e$ from 0.5 to 3.0 of the proposed DH-GWO.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125787510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9726048
P. Yadlapalli, A. L. Teja, C. M. A. Raju, K. Reddy, Krishna Mithra, Bhavana Dokku
Pulmonary Embolism (PE) is a condition that necessitates immediate medical attention. A doctor's examination is usually used to determine the severity of PE (Pulmonary Embolism), which takes time and can result in death. A deep learning-based methodology for detecting pulmonary embolism in CT scans is suggested in this study. Deep learning algorithms are widely employed in medical imaging for improved picture interpretation because instead of requiring a set of pre-programmed instructions, computers may autonomously learn representations from massive amounts of data [1]. They can assist doctors in making rapid diagnoses, saving time and effort in the process. Deep learning algorithms use a predetermined logical structure to analyze data and come to similar conclusions as humans. Deep learning achieves this through the use of neural networks, which are multi-layered algorithms. Some of the data pre-processing that is customary in machine learning is eliminated with deep learning.
{"title":"Segmentation of Pulmonary Embolism Using Deep Learning","authors":"P. Yadlapalli, A. L. Teja, C. M. A. Raju, K. Reddy, Krishna Mithra, Bhavana Dokku","doi":"10.1109/ICONAT53423.2022.9726048","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726048","url":null,"abstract":"Pulmonary Embolism (PE) is a condition that necessitates immediate medical attention. A doctor's examination is usually used to determine the severity of PE (Pulmonary Embolism), which takes time and can result in death. A deep learning-based methodology for detecting pulmonary embolism in CT scans is suggested in this study. Deep learning algorithms are widely employed in medical imaging for improved picture interpretation because instead of requiring a set of pre-programmed instructions, computers may autonomously learn representations from massive amounts of data [1]. They can assist doctors in making rapid diagnoses, saving time and effort in the process. Deep learning algorithms use a predetermined logical structure to analyze data and come to similar conclusions as humans. Deep learning achieves this through the use of neural networks, which are multi-layered algorithms. Some of the data pre-processing that is customary in machine learning is eliminated with deep learning.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"209 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127034749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725953
Z. Haq, Z. Jaffery, S. Mehfuz
To provide sustainable and efficient standards in agriculture industry, an innovative method of Smart Farming is being taken up as an initiative under the umbrella of Industry 4.0. Using enabling technologies: Internet of Things, Artificial Intelligence, Machine Learning, cloud computing, and other technological advancements, a new domain for agriculture is presented to the world. The idea of smart agriculture is progressively picking up pace around the globe and each country is developing a model based on their infrastructure prowess. At the center of smart agriculture consists of sensors and actuators embedded into the design to provide necessary input for efficient decision making. In this paper we have proposed a tow level framework for establishing a smart agriculture model based on Internet of Things. The first level deals with the decision making about the harvesting of the agriculture sample and the second level of the framework deals with the storage and transfer of information based on sensory information from the agricultural region of interest. This paper also discusses various enabling technologies for effective implementation of smart agriculture. This paper further discusses about the challenges and issues concerning the implementation of smart agriculture effectively.
{"title":"A Novel Framework for Smart Agriculture using Internet of Things and Enabling Technologies","authors":"Z. Haq, Z. Jaffery, S. Mehfuz","doi":"10.1109/ICONAT53423.2022.9725953","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725953","url":null,"abstract":"To provide sustainable and efficient standards in agriculture industry, an innovative method of Smart Farming is being taken up as an initiative under the umbrella of Industry 4.0. Using enabling technologies: Internet of Things, Artificial Intelligence, Machine Learning, cloud computing, and other technological advancements, a new domain for agriculture is presented to the world. The idea of smart agriculture is progressively picking up pace around the globe and each country is developing a model based on their infrastructure prowess. At the center of smart agriculture consists of sensors and actuators embedded into the design to provide necessary input for efficient decision making. In this paper we have proposed a tow level framework for establishing a smart agriculture model based on Internet of Things. The first level deals with the decision making about the harvesting of the agriculture sample and the second level of the framework deals with the storage and transfer of information based on sensory information from the agricultural region of interest. This paper also discusses various enabling technologies for effective implementation of smart agriculture. This paper further discusses about the challenges and issues concerning the implementation of smart agriculture effectively.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"34 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125718360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9726011
B. Gugulothu, B. Naik
In this paper, the crosstalks induced effects are explored in mutually coupled multi-walled carbon nanotubes (MWCNTs) interconnect lines driven by CMOS gates. The crosstalk delays and the peak voltages on the victim line for functional and dynamic crosstalk are investigated. The analyzes has been done for multiwalled carbon nanotubes and copper on-chip interconnects for 22nm technology node. The results show that exploiting the MWCNT interconnects instead of Cu leads to 61.35% shorter functional crosstalk delay, 12.80% lower functional crosstalk voltage and 59.14% lower dynamic in-phase crosstalk delay and 67.38% lower dynamic out-phase crosstalk delay. For different load capacitances utilizing the MWCNT interconnects instead of Cu leads to 62.79% shorter functional crosstalk delay, 63.54% lower dynamic in-phase crosstalk delay and 68.24% lower dynamic out-phase crosstalk delay. The simulation results show that the MWCNT is significantly highly efficient than conventional copper (Cu) on-chip interconnects. It is observed the results shows that the MWCNT are more fit for very large-scale integration system as compared to the Cu.
{"title":"Analysis of Signal Integrity in Coupled MWCNT and Comparison with Copper Interconnects","authors":"B. Gugulothu, B. Naik","doi":"10.1109/ICONAT53423.2022.9726011","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726011","url":null,"abstract":"In this paper, the crosstalks induced effects are explored in mutually coupled multi-walled carbon nanotubes (MWCNTs) interconnect lines driven by CMOS gates. The crosstalk delays and the peak voltages on the victim line for functional and dynamic crosstalk are investigated. The analyzes has been done for multiwalled carbon nanotubes and copper on-chip interconnects for 22nm technology node. The results show that exploiting the MWCNT interconnects instead of Cu leads to 61.35% shorter functional crosstalk delay, 12.80% lower functional crosstalk voltage and 59.14% lower dynamic in-phase crosstalk delay and 67.38% lower dynamic out-phase crosstalk delay. For different load capacitances utilizing the MWCNT interconnects instead of Cu leads to 62.79% shorter functional crosstalk delay, 63.54% lower dynamic in-phase crosstalk delay and 68.24% lower dynamic out-phase crosstalk delay. The simulation results show that the MWCNT is significantly highly efficient than conventional copper (Cu) on-chip interconnects. It is observed the results shows that the MWCNT are more fit for very large-scale integration system as compared to the Cu.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"112 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114003051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9726118
Harikrishna Paik, C. Kumar, S. Mishra, Smrutisree Paik
This paper describes the performance of a printed antenna in terms of gain and directivity using frequency selective surface (FSS) reflector. This structure composed of a source feed printed antenna designed on the bottom substrate and two layers of 7×5 FSS reflectors on the upper substrate. The antenna has an overall dimension of 30×32×1.6 mm3 which operates over 6.5-8.3 GHz. The antenna is designed on an FR4 substrate with thickness of 1.6 mm using HFSS simulator and various performances of the antenna are reported. The impedance bandwidth in excess of 41.2 % and 6.25 dB peak gain is obtained. The directivity of the structure varies between 6.3-8 dB, 5.5-8 dB and 4-6.4 dB for the two layers FSS, single layer FSS and antenna without FSS, respectively. The far field patterns of the antenna at selected frequencies such as 7, 7.5 and 8 GHz are also presented.
{"title":"A CPW Fed Printed Antenna for Gain and Directivity Improvement using Frequency Selective Surface Reflector","authors":"Harikrishna Paik, C. Kumar, S. Mishra, Smrutisree Paik","doi":"10.1109/ICONAT53423.2022.9726118","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726118","url":null,"abstract":"This paper describes the performance of a printed antenna in terms of gain and directivity using frequency selective surface (FSS) reflector. This structure composed of a source feed printed antenna designed on the bottom substrate and two layers of 7×5 FSS reflectors on the upper substrate. The antenna has an overall dimension of 30×32×1.6 mm3 which operates over 6.5-8.3 GHz. The antenna is designed on an FR4 substrate with thickness of 1.6 mm using HFSS simulator and various performances of the antenna are reported. The impedance bandwidth in excess of 41.2 % and 6.25 dB peak gain is obtained. The directivity of the structure varies between 6.3-8 dB, 5.5-8 dB and 4-6.4 dB for the two layers FSS, single layer FSS and antenna without FSS, respectively. The far field patterns of the antenna at selected frequencies such as 7, 7.5 and 8 GHz are also presented.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"117 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114313750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725890
Pavitra Y J, Jamuna S, M. J, Arun E
Conventional methods to design combinational logic circuits (CLCs) is time consuming and needs expert knowledge. Evolutionary computing techniques have proved to be a competitive field for the evolution of CLCs. Simulated annealing is a metaheuristic which helps in finding a global optimum for a given function. The proposed work aims to design CLCs using simulated annealing (SA). Various circuits proposed in the literature are realized and experiments reveal that a maximum of 33.33% of resources are saved and 2.0x speed enhancement is achieved over the circuits reported in literature. The proposed work acquires the design requirements from the designer/user to yield scripts for FPGA implementation.
{"title":"Design of Combinational Logic Circuits using Simulated Annealing","authors":"Pavitra Y J, Jamuna S, M. J, Arun E","doi":"10.1109/ICONAT53423.2022.9725890","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725890","url":null,"abstract":"Conventional methods to design combinational logic circuits (CLCs) is time consuming and needs expert knowledge. Evolutionary computing techniques have proved to be a competitive field for the evolution of CLCs. Simulated annealing is a metaheuristic which helps in finding a global optimum for a given function. The proposed work aims to design CLCs using simulated annealing (SA). Various circuits proposed in the literature are realized and experiments reveal that a maximum of 33.33% of resources are saved and 2.0x speed enhancement is achieved over the circuits reported in literature. The proposed work acquires the design requirements from the designer/user to yield scripts for FPGA implementation.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114275156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9726040
A. Jain, Anusree H, M. J
Generative Adversarial Networks (GANs) are capable of generating realistic photos of objects, scenes and people that do not exist in real life. This is made possible due to the successful ability of GANs in modeling high dimensional data, handling missing data, providing multi-modal outputs and multi plausible answers. These positive features and capabilities of GANs have spearheaded research in the area of visual modeling using GAN. In this paper, an attempt is made to design a GAN model for solving regression problems. In order to assess the performance evaluation of proposed GAN model for regression problem, four basic functions and seven datasets from standard repositories are employed. It is observed that the proposed GAN model gave satisfactory results and can be employed for various other regression problems too.
{"title":"Design and Evaluation of GAN based Regression Model","authors":"A. Jain, Anusree H, M. J","doi":"10.1109/ICONAT53423.2022.9726040","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726040","url":null,"abstract":"Generative Adversarial Networks (GANs) are capable of generating realistic photos of objects, scenes and people that do not exist in real life. This is made possible due to the successful ability of GANs in modeling high dimensional data, handling missing data, providing multi-modal outputs and multi plausible answers. These positive features and capabilities of GANs have spearheaded research in the area of visual modeling using GAN. In this paper, an attempt is made to design a GAN model for solving regression problems. In order to assess the performance evaluation of proposed GAN model for regression problem, four basic functions and seven datasets from standard repositories are employed. It is observed that the proposed GAN model gave satisfactory results and can be employed for various other regression problems too.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122287228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725872
Wai Mar Oo, H. Tun, Tint May Nway, Devasis Pradhan, P. K. Sahu, Z. Naing
Dual-frequency antennas are popular for many applications in communication systems. This work proposes a dual-band microstrip patch antenna design based on two-layer stacked patch for GPS and WiFi purposes. The targeted antenna is created to maneuver at the frequency range of 1.227GHz GPS L2 band (1.215GHz to 1.239GHz) and the 2.4GHz WiFi band frequency (2.4GHz to 2.48GHz). The antenna is fabricated on substrate of FR4 which dielectric constant 4.4 and the substrate material's height is 1.6mm. The created two-layer stacked patch antenna is compared with a conformist single patch antenna and analyzed the parameters of performance specifications for return loss (RL), bandwidth, VSWR, gain and pattern of radiation. It is recognized that the performance of the fabricated antenna improves when compared to the single-layer conventional antenna.
{"title":"Design, Analysis and Fabrication of Dual Band Microstrip Patch Antenna for (L2) Band GPS and WiFi Applications","authors":"Wai Mar Oo, H. Tun, Tint May Nway, Devasis Pradhan, P. K. Sahu, Z. Naing","doi":"10.1109/ICONAT53423.2022.9725872","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725872","url":null,"abstract":"Dual-frequency antennas are popular for many applications in communication systems. This work proposes a dual-band microstrip patch antenna design based on two-layer stacked patch for GPS and WiFi purposes. The targeted antenna is created to maneuver at the frequency range of 1.227GHz GPS L2 band (1.215GHz to 1.239GHz) and the 2.4GHz WiFi band frequency (2.4GHz to 2.48GHz). The antenna is fabricated on substrate of FR4 which dielectric constant 4.4 and the substrate material's height is 1.6mm. The created two-layer stacked patch antenna is compared with a conformist single patch antenna and analyzed the parameters of performance specifications for return loss (RL), bandwidth, VSWR, gain and pattern of radiation. It is recognized that the performance of the fabricated antenna improves when compared to the single-layer conventional antenna.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122591007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725818
Mohammad Ashhar, I. Ali
In this paper, a decentralized dual-loop control scheme for power electronics converters in DC microgrid is presented. This scheme provides control over voltage and current in a decoupled manner for maintaining the voltage while limiting the current for safety. The microgrid generation and load bus are connected through an interlinking boost converter (IBC) which works with a dual PI controller based technique. The Grid-connected voltage source converter (GVSC) maintains the voltage and power balance during grid-connected mode using a dual PI controller based technique. The coordination of the IBC and GVSC provides the microgrid for fast and stable operation with secure energy management in both grid-connected and islanded modes. The DC microgrid is tested in MATLAB/SIMULINK.
{"title":"Decentralized Dual Loop Control for Secure Energy Management in DC Microgrid","authors":"Mohammad Ashhar, I. Ali","doi":"10.1109/ICONAT53423.2022.9725818","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725818","url":null,"abstract":"In this paper, a decentralized dual-loop control scheme for power electronics converters in DC microgrid is presented. This scheme provides control over voltage and current in a decoupled manner for maintaining the voltage while limiting the current for safety. The microgrid generation and load bus are connected through an interlinking boost converter (IBC) which works with a dual PI controller based technique. The Grid-connected voltage source converter (GVSC) maintains the voltage and power balance during grid-connected mode using a dual PI controller based technique. The coordination of the IBC and GVSC provides the microgrid for fast and stable operation with secure energy management in both grid-connected and islanded modes. The DC microgrid is tested in MATLAB/SIMULINK.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126340161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.1109/ICONAT53423.2022.9725840
Sougatam Das, Bishal Nahak, K. Nathwani
The world's biggest pandemic, COVID-19, has shown its lethal impact on human life. The current diagnostics methods are reverse transcription-polymerase chain reaction (RT-PCR) and rapid diagnostic assays have several bottlenecks in terms of the nature of sample collection as it needs some laboratory experts and careful handling of the potentially infectious samples. However, one of the non-invasive ways of diagnostics is to focus on speech modality, which has been paid less attention, during the detection of COVID-19. Hence in this work, the speech features, particularly temporal and spectral features have been studied for COVID-19 detection. The temporal features used in this work are Short-Time Energy, Long-Term Log Energy Variation (LTLEV) Zero Crossing Count (ZCC) and Pitch etc. On the other hand, the spectral features used herein are Power Spectral Density, Average Power, Mel-Frequency Cepstral Coefficients, Group delay spectrum, Spectral Entropy etc. Such spectral and temporal speech features have not been analyzed in the identification of COVID-19 symptoms to the best of authors knowledge. Further, this paper has shown the impact of COVID-19 on a real time human voice, analyzed using speech processing techniques, and shown their efficacy in detecting COVID-19. These features are safe, comparatively faster, cost-effective, and require fewer complexities. Our article will motivate the scientific community to use such features for further research in the collective battle against COVID-19.
{"title":"Identification of Speech Features relevant for COVID-19 Detection in Real Time Scenario","authors":"Sougatam Das, Bishal Nahak, K. Nathwani","doi":"10.1109/ICONAT53423.2022.9725840","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725840","url":null,"abstract":"The world's biggest pandemic, COVID-19, has shown its lethal impact on human life. The current diagnostics methods are reverse transcription-polymerase chain reaction (RT-PCR) and rapid diagnostic assays have several bottlenecks in terms of the nature of sample collection as it needs some laboratory experts and careful handling of the potentially infectious samples. However, one of the non-invasive ways of diagnostics is to focus on speech modality, which has been paid less attention, during the detection of COVID-19. Hence in this work, the speech features, particularly temporal and spectral features have been studied for COVID-19 detection. The temporal features used in this work are Short-Time Energy, Long-Term Log Energy Variation (LTLEV) Zero Crossing Count (ZCC) and Pitch etc. On the other hand, the spectral features used herein are Power Spectral Density, Average Power, Mel-Frequency Cepstral Coefficients, Group delay spectrum, Spectral Entropy etc. Such spectral and temporal speech features have not been analyzed in the identification of COVID-19 symptoms to the best of authors knowledge. Further, this paper has shown the impact of COVID-19 on a real time human voice, analyzed using speech processing techniques, and shown their efficacy in detecting COVID-19. These features are safe, comparatively faster, cost-effective, and require fewer complexities. Our article will motivate the scientific community to use such features for further research in the collective battle against COVID-19.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122974578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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