Pub Date : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587846
M. Srilatha, S. Harini, T. Sushanth
Wireless communication is becoming increasingly important as technology advances. After commercial and public radio, community radio is the third type of broadcasting. Its goal is to give individuals with crucial local news and information for a small community. The proposed system shows how to use LABVIEW and the Universal Software Radio Peripheral to construct community radio using software defined radio (USRP). The major goal is to develop and demonstrate a low-cost, flexible transmitter and receiver using low-cost hardware such as a computer loaded with LABVIEW and a USRP.
{"title":"Community Radio Using USRP 2920","authors":"M. Srilatha, S. Harini, T. Sushanth","doi":"10.1109/GCAT52182.2021.9587846","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587846","url":null,"abstract":"Wireless communication is becoming increasingly important as technology advances. After commercial and public radio, community radio is the third type of broadcasting. Its goal is to give individuals with crucial local news and information for a small community. The proposed system shows how to use LABVIEW and the Universal Software Radio Peripheral to construct community radio using software defined radio (USRP). The major goal is to develop and demonstrate a low-cost, flexible transmitter and receiver using low-cost hardware such as a computer loaded with LABVIEW and a USRP.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"309 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123673544","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 : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587840
Sivaprasad Naru, Munisekhar Sadu
This paper gives a summary of design and hardware development of consistent and vigorous space borne power supply unit for synthetic aperture radars with the variation of input voltage of 24V to 38V. The available battery raw bus voltage in satellite is 28V DC nominal. This power supply unit can use for various radio frequency (Exciter and Receiver) and digital circuits (processor). The power supply unit (PSU) consists of two converters in which the converter-1 consist of single output of 15V/0.6A and converter-2 consists of three outputs of +5.3V/12A, +5.4V/4.5A & -5V/0.6A. The total output power of PSU is 100.4W with the input voltage variation of 24V to 38V DC (28V DC nominal) at an operating frequency of 140 KHz. The power supply unit is implemented by using single switch Forward Converter Topology with saturable inductor and Low Drop out (LDO) as post regulators is used to get the required regulated outputs. The PSU has been designed and developed with bias feedback using Voltage mode feed forward control technique.
{"title":"Design and Development of Space Borne Multiple Output DC DC Converter with Bias Feedback Using Voltage Feedforward Control Technique","authors":"Sivaprasad Naru, Munisekhar Sadu","doi":"10.1109/GCAT52182.2021.9587840","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587840","url":null,"abstract":"This paper gives a summary of design and hardware development of consistent and vigorous space borne power supply unit for synthetic aperture radars with the variation of input voltage of 24V to 38V. The available battery raw bus voltage in satellite is 28V DC nominal. This power supply unit can use for various radio frequency (Exciter and Receiver) and digital circuits (processor). The power supply unit (PSU) consists of two converters in which the converter-1 consist of single output of 15V/0.6A and converter-2 consists of three outputs of +5.3V/12A, +5.4V/4.5A & -5V/0.6A. The total output power of PSU is 100.4W with the input voltage variation of 24V to 38V DC (28V DC nominal) at an operating frequency of 140 KHz. The power supply unit is implemented by using single switch Forward Converter Topology with saturable inductor and Low Drop out (LDO) as post regulators is used to get the required regulated outputs. The PSU has been designed and developed with bias feedback using Voltage mode feed forward control technique.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121925191","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}
Micro Expressions are those involuntary muscular movements of the facial muscles produced in response to a stimulus. They are short-lived expressions that last for anywhere between 0.04 to 0.2 seconds and are extremely subtle in their amplitude. Given their fleeting and elusive nature, it becomes almost impossible to detect these expressions through the naked eye. Recent developments in Deep Learning models have shown great success in efficiently identifying and analyzing Micro Expressions. In this paper, various models have been implemented on the SAMM dataset. The models studied are namely– VGG16, ResNet50, MobileNet, InceptionV3, and Xception. The experimental results have helped us carefully analyze the various metrics related to the models and compare them with each other to ascertain which one outperformed the others and is best suited for real-world applications. The MobileNet model has surpassed all other models in terms of its efficiency with respect to the domain of this paper. It has been able to describe and understand all the information that can be found in the various Micro Expressions.
{"title":"Comparative Analysis of Micro Expression Recognition using Deep Learning and Transfer Learning","authors":"Rahil Kadakia, Parth Kalkotwar, Pruthav Jhaveri, Rahul Patanwadia, Kriti Srivastava","doi":"10.1109/GCAT52182.2021.9587731","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587731","url":null,"abstract":"Micro Expressions are those involuntary muscular movements of the facial muscles produced in response to a stimulus. They are short-lived expressions that last for anywhere between 0.04 to 0.2 seconds and are extremely subtle in their amplitude. Given their fleeting and elusive nature, it becomes almost impossible to detect these expressions through the naked eye. Recent developments in Deep Learning models have shown great success in efficiently identifying and analyzing Micro Expressions. In this paper, various models have been implemented on the SAMM dataset. The models studied are namely– VGG16, ResNet50, MobileNet, InceptionV3, and Xception. The experimental results have helped us carefully analyze the various metrics related to the models and compare them with each other to ascertain which one outperformed the others and is best suited for real-world applications. The MobileNet model has surpassed all other models in terms of its efficiency with respect to the domain of this paper. It has been able to describe and understand all the information that can be found in the various Micro Expressions.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"47 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120881308","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 : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587500
L. Raj, L. Arun
A Voltage Source Inverter (VSI) when connected to a weak AC grid exhibits instability problems due to the unfavourable interactions between the Phase Locked Loop (PLL) and inner current controller of the VSI. In this paper a voltage modulated direct power control technique is used to integrate a Permanent Magnet Synchronous Generatr (PMSG) based wind energy system to a weak AC grid. This control technique does not need a PLL for its operation. The perturb and observe algorithm based maximum power point tracking is used to extract maximum power from wind. The performance of the system is evaluated using simulation studies done in MATLAB/Simulink. The effects of change in wind speed and sag in grid voltage are also analyzed. The results show that the controller is able to follow the active and reactive power commands with permissible THD in the current injected to grid.
{"title":"A Voltage Modulated Direct Power Controlled Wind Energy System Connected to a Weak AC Grid with Maximum Power Point Tracking","authors":"L. Raj, L. Arun","doi":"10.1109/GCAT52182.2021.9587500","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587500","url":null,"abstract":"A Voltage Source Inverter (VSI) when connected to a weak AC grid exhibits instability problems due to the unfavourable interactions between the Phase Locked Loop (PLL) and inner current controller of the VSI. In this paper a voltage modulated direct power control technique is used to integrate a Permanent Magnet Synchronous Generatr (PMSG) based wind energy system to a weak AC grid. This control technique does not need a PLL for its operation. The perturb and observe algorithm based maximum power point tracking is used to extract maximum power from wind. The performance of the system is evaluated using simulation studies done in MATLAB/Simulink. The effects of change in wind speed and sag in grid voltage are also analyzed. The results show that the controller is able to follow the active and reactive power commands with permissible THD in the current injected to grid.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125796201","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 : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587647
Ayush Patel, Alankar Uniyal, Ritesh Dhanare
The region of the United Kingdom has seen a substantial rise in the number of accidents in recent times. Having car insurance in your arsenal acts as a savior in times of financial crisis. In this paper, car accidents occurring in a specific region are analyzed and the insurance policy which is best suitable for the consumer is recommended. Here the car accidents are categorized into different groups of ages and accidents happening on the different days of the week are shown using matplotlib and seaborn libraries.
{"title":"U.K. Car Accident and Insurance Predictor using Machine Learning","authors":"Ayush Patel, Alankar Uniyal, Ritesh Dhanare","doi":"10.1109/GCAT52182.2021.9587647","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587647","url":null,"abstract":"The region of the United Kingdom has seen a substantial rise in the number of accidents in recent times. Having car insurance in your arsenal acts as a savior in times of financial crisis. In this paper, car accidents occurring in a specific region are analyzed and the insurance policy which is best suitable for the consumer is recommended. Here the car accidents are categorized into different groups of ages and accidents happening on the different days of the week are shown using matplotlib and seaborn libraries.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125839775","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 : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587710
P. Pirapuraj, I. Perera
Software reuse gives the meaning for rapid software development and the quality of the software. Most of the Java components/libraries open-source are available only in Java Archive (JAR) file format. When a software design enters the development process, the developer needs to manually select necessary JAR files via analyzing the given software architecture and related JAR files. This paper proposes an automated approach, JarBot, to suggest all the necessary JAR files for given software architecture in the development process. All related JAR files will be downloaded from the internet based on the extracted information from the given software architecture (class diagram). Class names, method names, and attribute names will be extracted from the downloaded JAR files and matched with the information extracted from the given software architecture to identify the most relevant JAR files. For the result and evaluation of the proposed system, 05 software design was developed for 05 well-completed software project from GitHub. The proposed system suggested more than 95% of the JAR files among expected JAR files for the given 05 software design. The result indicated that the proposed system is suggesting almost all the necessary JAR files.
{"title":"JarBot: Automated Java Libraries Suggestion in JAR Archives Format for a given Software Architecture","authors":"P. Pirapuraj, I. Perera","doi":"10.1109/GCAT52182.2021.9587710","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587710","url":null,"abstract":"Software reuse gives the meaning for rapid software development and the quality of the software. Most of the Java components/libraries open-source are available only in Java Archive (JAR) file format. When a software design enters the development process, the developer needs to manually select necessary JAR files via analyzing the given software architecture and related JAR files. This paper proposes an automated approach, JarBot, to suggest all the necessary JAR files for given software architecture in the development process. All related JAR files will be downloaded from the internet based on the extracted information from the given software architecture (class diagram). Class names, method names, and attribute names will be extracted from the downloaded JAR files and matched with the information extracted from the given software architecture to identify the most relevant JAR files. For the result and evaluation of the proposed system, 05 software design was developed for 05 well-completed software project from GitHub. The proposed system suggested more than 95% of the JAR files among expected JAR files for the given 05 software design. The result indicated that the proposed system is suggesting almost all the necessary JAR files.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129722492","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 : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587627
D. M. Bhavana Gowda, M. Nachappa, A. Menon, K. Apoorva, Sanjeev Kumar Mandal
Extracting informative contents of clinical importance from gene expression is challenging in bioinformatics. However, reviewing existing literature reviews found that almost all the frequently adopted techniques for analyzing gene expression data are associated with problems. Therefore, the proposed system offers a cost-effective framework that contributes to a simplified text mining approach with a novel design of gene-network analysis followed by optimization to incorporate novelty in this field.
{"title":"A Proposed Robust Computational Network Modelling to Optimally Investigate Gene Data","authors":"D. M. Bhavana Gowda, M. Nachappa, A. Menon, K. Apoorva, Sanjeev Kumar Mandal","doi":"10.1109/GCAT52182.2021.9587627","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587627","url":null,"abstract":"Extracting informative contents of clinical importance from gene expression is challenging in bioinformatics. However, reviewing existing literature reviews found that almost all the frequently adopted techniques for analyzing gene expression data are associated with problems. Therefore, the proposed system offers a cost-effective framework that contributes to a simplified text mining approach with a novel design of gene-network analysis followed by optimization to incorporate novelty in this field.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127090069","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 : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587879
Bobbinpreet Kaur, K. Kaur
We will examine and critique the future uses of artificial intelligence (AI) and mathematical modelling in medical applications, with a particular emphasis on their interactions with gold nanotechnology. There have been significant advances in the use of artificial intelligence and mathematical modelling to medical biophysics. This particular methodology assists with the advancement of nanotechnology-related study projects. There have been many papers on this subject. Now it is time to collaborate and study all of these papers in order to evaluate the progress achieved in nanotechnology as a result. Theoretical and clinical data is reviewed in order to comprehend what is present-day and new. To provide more explanation as to variable interaction, AI and mathematical modelling are used to track the specified parameters and defined equations. This commentary covers the synthesis and production of gold nanoparticles using the Turkevich and Brust and Schiffrin one-pot procedure. Results obtained indicate that the size, shape, and overall functionality of gold nanoparticles directly impact the synthetic characteristics. The light-absorbing, wavelength, and optical density properties of the gold nanoparticle vary based on the features of the gold nanoparticle. Using the appropriate nanoparticle size (depending on the wavelength of light) enables more light absorption inside the nanoparticle. Transmission electron microscopy (TEM) and Fourier transform infrared radiation (FT-IR) spectroscopy are used to examine the cellular uptake and cytotoxicity of nanoparticles. Optimizing nanoparticle efficiency for precision cancer therapy is essential to maximizing treatment effectiveness. Manipulated nano-probes are employed in gold nanoparticle-based therapy in order to control tumour treatment. Nanoparticle sensors have the ability to collect a variety of different images and assists with diagnostics and therapeutic imaging techniques. Direct findings will assist push additional understanding and development in medical biophysics research, using AI and mathematical modelling, in biophysical gold nanoparticle technology applications.
{"title":"Using Artificial Intelligence and Mathematical Modeling for Advancement of Gold Nanotechnology in Therapeutic Biophysics","authors":"Bobbinpreet Kaur, K. Kaur","doi":"10.1109/GCAT52182.2021.9587879","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587879","url":null,"abstract":"We will examine and critique the future uses of artificial intelligence (AI) and mathematical modelling in medical applications, with a particular emphasis on their interactions with gold nanotechnology. There have been significant advances in the use of artificial intelligence and mathematical modelling to medical biophysics. This particular methodology assists with the advancement of nanotechnology-related study projects. There have been many papers on this subject. Now it is time to collaborate and study all of these papers in order to evaluate the progress achieved in nanotechnology as a result. Theoretical and clinical data is reviewed in order to comprehend what is present-day and new. To provide more explanation as to variable interaction, AI and mathematical modelling are used to track the specified parameters and defined equations. This commentary covers the synthesis and production of gold nanoparticles using the Turkevich and Brust and Schiffrin one-pot procedure. Results obtained indicate that the size, shape, and overall functionality of gold nanoparticles directly impact the synthetic characteristics. The light-absorbing, wavelength, and optical density properties of the gold nanoparticle vary based on the features of the gold nanoparticle. Using the appropriate nanoparticle size (depending on the wavelength of light) enables more light absorption inside the nanoparticle. Transmission electron microscopy (TEM) and Fourier transform infrared radiation (FT-IR) spectroscopy are used to examine the cellular uptake and cytotoxicity of nanoparticles. Optimizing nanoparticle efficiency for precision cancer therapy is essential to maximizing treatment effectiveness. Manipulated nano-probes are employed in gold nanoparticle-based therapy in order to control tumour treatment. Nanoparticle sensors have the ability to collect a variety of different images and assists with diagnostics and therapeutic imaging techniques. Direct findings will assist push additional understanding and development in medical biophysics research, using AI and mathematical modelling, in biophysical gold nanoparticle technology applications.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130036411","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 : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587555
Raghav Rawat, Pratheesh, Krishna Shedbalkar, Minal Moharir, N. Deepamala, P. Ramakanth Kumar, Mgp Tanmayananda
This paper discusses the systematic approach to analyze and detect DoH and non-DoH traffic, and further methods to catch malicious DoH over covert network traffic conditions. DNS over HTTPS methodology overcomes the vulnerabilities brought about in regular DNS requests and reinforces the data transmission, but equally important is detection and prevention on their malicious counterparts using their statistical characteristics as mentioned in this text. Further, this paper forms a base on the data features and their relative importance in determining DoH transfers, enabling possibilities of training numerous Machine learning and Deep Learning Algorithms.
本文讨论了分析和检测DoH和非DoH流量的系统方法，以及在隐蔽网络流量条件下捕获恶意DoH的方法。DNS over HTTPS方法克服了常规DNS请求带来的漏洞，加强了数据传输，但同样重要的是利用本文提到的统计特征对恶意请求进行检测和预防。此外，本文以数据特征及其在确定DoH传输中的相对重要性为基础，使训练大量机器学习和深度学习算法成为可能。
{"title":"Analysis and Detection of Malicious Activity on DoH Traffic","authors":"Raghav Rawat, Pratheesh, Krishna Shedbalkar, Minal Moharir, N. Deepamala, P. Ramakanth Kumar, Mgp Tanmayananda","doi":"10.1109/GCAT52182.2021.9587555","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587555","url":null,"abstract":"This paper discusses the systematic approach to analyze and detect DoH and non-DoH traffic, and further methods to catch malicious DoH over covert network traffic conditions. DNS over HTTPS methodology overcomes the vulnerabilities brought about in regular DNS requests and reinforces the data transmission, but equally important is detection and prevention on their malicious counterparts using their statistical characteristics as mentioned in this text. Further, this paper forms a base on the data features and their relative importance in determining DoH transfers, enabling possibilities of training numerous Machine learning and Deep Learning Algorithms.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130130184","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 : 2021-10-01DOI: 10.1109/GCAT52182.2021.9587736
P. Gajbhiye, K. N. Achari, G. Balakrishna, M. Kumar
Today, Smart Grid (SG) is an intelligent and effective way of having endless growth and development possibilities. On the other side, Vehicle-to-Grid (V2G) is also gaining importance due to its attractive features like transferring bi-directional power using the power electronic converters between Electric Vehicles (EVs) and grid, regulating grid voltage/frequency etc. This V2G concept offers benefits to users, utilities, economics and also the environment but in spite of all this, it also needs further insight related to the Electromagnetic Interference (EMI) issues, due to the presence of bi-directional power flow converters, which are left unattended. In order to be competitive in present times the EMI noise signal, which is presented in the actual signal and energy efficiency characteristics should be focused smartly. The present electrical technology is dominated by the converters, which are based on power electronics, so this paper proposes a Wavelet Transform (WT) based time frequency localized approach for EMI noise mitigation in V2G systems. The effectiveness of the proposed method is evaluated in terms of Signal-to-Noise Ratio (SNR) and the investigation is mainly focused on harmonics and the conducted EMI suppression.
{"title":"An Approach to Mitigate the EMI Noise Effect in Vehicle-to-Grid (V2G) System","authors":"P. Gajbhiye, K. N. Achari, G. Balakrishna, M. Kumar","doi":"10.1109/GCAT52182.2021.9587736","DOIUrl":"https://doi.org/10.1109/GCAT52182.2021.9587736","url":null,"abstract":"Today, Smart Grid (SG) is an intelligent and effective way of having endless growth and development possibilities. On the other side, Vehicle-to-Grid (V2G) is also gaining importance due to its attractive features like transferring bi-directional power using the power electronic converters between Electric Vehicles (EVs) and grid, regulating grid voltage/frequency etc. This V2G concept offers benefits to users, utilities, economics and also the environment but in spite of all this, it also needs further insight related to the Electromagnetic Interference (EMI) issues, due to the presence of bi-directional power flow converters, which are left unattended. In order to be competitive in present times the EMI noise signal, which is presented in the actual signal and energy efficiency characteristics should be focused smartly. The present electrical technology is dominated by the converters, which are based on power electronics, so this paper proposes a Wavelet Transform (WT) based time frequency localized approach for EMI noise mitigation in V2G systems. The effectiveness of the proposed method is evaluated in terms of Signal-to-Noise Ratio (SNR) and the investigation is mainly focused on harmonics and the conducted EMI suppression.","PeriodicalId":436231,"journal":{"name":"2021 2nd Global Conference for Advancement in Technology (GCAT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131034827","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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