Pub Date : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938304
S. Nitin Moses, S. Priyadarsine, V. D. Lalitha Ambigai, S. Logavarshini, U. Madhanlal, D. Kanchana
In this work, an attempt has been made to classify Cardiotocograph (CTG) signals using scalogram and deep learning approach. Preterm labor is the leading cause of death in prematurely born babies across the world. According to the World Health Organization (WHO), 15% of babies are born prematurely every year. Prediction of preterm labor could help in early maternal and neonatal healthcare thereby minimizing premature mortalities. In this work, the CTG signals consisting of Fetal Heart Rate (FHR) and Uterine Contraction (UC) are obtained from a publicly available database. The obtained FHR and UC signals are converted into two dimensional scalograms using Continuous Wavelet Transform (CWT). The scalogram images are labeled according to the gestational age and given as input to the deep learning network. GoogLeNet, a pre-trained Convolutional Neural Network (CNN) is used for classification of the CTG signals. The scalogram images are resized to match the input size of the GoogLeNet. The data is split into training and validation data to prevent overfitting of the deep neural network. The network is trained for 80 iterations and for each iteration, the training and validation data are split accordingly. The trained network is tested for three different gestational periods namely preterm, term and post-term labor. The proposed approach is able to differentiate gestational stages and produce classification accuracy of 88.23% for FHR signals and 87.50% for UC signals. Hence, this method could be used as a diagnostic tool for predicting preterm labor in pregnant women and provide appropriate health care services.
{"title":"Automated Classification of CTG signals using Deep Learning based Scalogram Analysis","authors":"S. Nitin Moses, S. Priyadarsine, V. D. Lalitha Ambigai, S. Logavarshini, U. Madhanlal, D. Kanchana","doi":"10.1109/GlobConPT57482.2022.9938304","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938304","url":null,"abstract":"In this work, an attempt has been made to classify Cardiotocograph (CTG) signals using scalogram and deep learning approach. Preterm labor is the leading cause of death in prematurely born babies across the world. According to the World Health Organization (WHO), 15% of babies are born prematurely every year. Prediction of preterm labor could help in early maternal and neonatal healthcare thereby minimizing premature mortalities. In this work, the CTG signals consisting of Fetal Heart Rate (FHR) and Uterine Contraction (UC) are obtained from a publicly available database. The obtained FHR and UC signals are converted into two dimensional scalograms using Continuous Wavelet Transform (CWT). The scalogram images are labeled according to the gestational age and given as input to the deep learning network. GoogLeNet, a pre-trained Convolutional Neural Network (CNN) is used for classification of the CTG signals. The scalogram images are resized to match the input size of the GoogLeNet. The data is split into training and validation data to prevent overfitting of the deep neural network. The network is trained for 80 iterations and for each iteration, the training and validation data are split accordingly. The trained network is tested for three different gestational periods namely preterm, term and post-term labor. The proposed approach is able to differentiate gestational stages and produce classification accuracy of 88.23% for FHR signals and 87.50% for UC signals. Hence, this method could be used as a diagnostic tool for predicting preterm labor in pregnant women and provide appropriate health care services.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128696539","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938244
Rajneesh Saini, Siddharth Singh, V. Singh
Nowadays Platform Screen Doors have become an essential safety infrastructure for high-speed metros, rapid rails, and bullet trains. PSD provides safety barriers, improved climate control, improved security, and reduced noise pollution in stations. The automatic sliding door is the main component of PSD which is driven by BLDC DC motors and controlled by door controllers. The dynamic weight of a single ASD may vary from 80 to 150 KG. ASD doors are generally installed in series along the platform and motors will operate with DC voltages. This result in a system with distributed DC inductive loads. Voltage drop varies in series from door to door. For a platform of 24 doors, 48 BLDC motors will work in series for half-height PSD and will require approximately 4kW of constant DC power and approx. 7kW of starting DC power. Considering all these requirements, an efficient power distribution scheme without single point failure is required. For calculating wire gauge, MCBs, fuses, and other distribution components mathematical modeling of inductive motor loads, and resistive cables are carried out and simulation results are analyzed to achieve efficient distribution architecture. Component selection criteria are discussed. Modeling and simulation carried out in ORCAD spice software. An efficient distribution scheme is proposed with calculated wire gauge regiments, MCB type with tripping curve requirements, single point failure avoidance scheme, and source load requirements are discussed.
{"title":"Analysis and Modeling of DC Power distribution for Platform Screen Door(PSD)","authors":"Rajneesh Saini, Siddharth Singh, V. Singh","doi":"10.1109/GlobConPT57482.2022.9938244","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938244","url":null,"abstract":"Nowadays Platform Screen Doors have become an essential safety infrastructure for high-speed metros, rapid rails, and bullet trains. PSD provides safety barriers, improved climate control, improved security, and reduced noise pollution in stations. The automatic sliding door is the main component of PSD which is driven by BLDC DC motors and controlled by door controllers. The dynamic weight of a single ASD may vary from 80 to 150 KG. ASD doors are generally installed in series along the platform and motors will operate with DC voltages. This result in a system with distributed DC inductive loads. Voltage drop varies in series from door to door. For a platform of 24 doors, 48 BLDC motors will work in series for half-height PSD and will require approximately 4kW of constant DC power and approx. 7kW of starting DC power. Considering all these requirements, an efficient power distribution scheme without single point failure is required. For calculating wire gauge, MCBs, fuses, and other distribution components mathematical modeling of inductive motor loads, and resistive cables are carried out and simulation results are analyzed to achieve efficient distribution architecture. Component selection criteria are discussed. Modeling and simulation carried out in ORCAD spice software. An efficient distribution scheme is proposed with calculated wire gauge regiments, MCB type with tripping curve requirements, single point failure avoidance scheme, and source load requirements are discussed.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924237","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938163
G. K. Rao, Bhabani Kumari Choudhry, P. Jena
DC microgrids are less complicated and more effective than AC microgrids, making them more attractive for power distribution. However, protecting the zonal DC microgrid using non unit protection scheme is difficult due to the bidirectional power flow. Existing unit protection schemes are sensitive during high resistance faults due to the low magnitude of the fault current. This article presents a novel unit protection algorithm to overcome the exit unit protection technique to identify the zonal DC microgrid high resistance fault. The proposed scheme identifies the fault using the impedance difference seen by the relays presented at the line ends. The impedance difference between external fault and steady-state condition is equal to line impedance. The impedance difference available at the relays is not equal to the line impedance during the external fault. In the case of internal fault, the difference is not equal to line impedance. Under the MATLAB/Simulink environment, the proposed algorithm is verified using a zonal DC microgrid for numerous fault scenarios, including internal fault, external fault, high resistance fault, and noise environment. The obtained simulation results reveal that the suggested method efficiently distinguishes internal and external faults.
{"title":"Impedance Based Differential Protection for Zonal DC Microgrid","authors":"G. K. Rao, Bhabani Kumari Choudhry, P. Jena","doi":"10.1109/GlobConPT57482.2022.9938163","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938163","url":null,"abstract":"DC microgrids are less complicated and more effective than AC microgrids, making them more attractive for power distribution. However, protecting the zonal DC microgrid using non unit protection scheme is difficult due to the bidirectional power flow. Existing unit protection schemes are sensitive during high resistance faults due to the low magnitude of the fault current. This article presents a novel unit protection algorithm to overcome the exit unit protection technique to identify the zonal DC microgrid high resistance fault. The proposed scheme identifies the fault using the impedance difference seen by the relays presented at the line ends. The impedance difference between external fault and steady-state condition is equal to line impedance. The impedance difference available at the relays is not equal to the line impedance during the external fault. In the case of internal fault, the difference is not equal to line impedance. Under the MATLAB/Simulink environment, the proposed algorithm is verified using a zonal DC microgrid for numerous fault scenarios, including internal fault, external fault, high resistance fault, and noise environment. The obtained simulation results reveal that the suggested method efficiently distinguishes internal and external faults.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115561430","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938274
Syafii, Devianda Ananta Sandri, Novizon
This paper presents the pumped hydro storage (PHS) monitoring system and control design. The monitoring and control technique developed uses Raspberry pi as a web server for the hydro pump operating system. The PHS monitoring system uses the ACS712 current and voltage sensor modules to read DC electrical parameters and PZEM sensors to read AC electricity. The ADS1115 component interfaces current and voltage sensor readings with Raspberry Pi (RasPi) digital inputs. Pumped hydro will operate to raise water from the lower reservoir to the upper reservoir when there is an excess of power from the solar generator to the load demand. Water from the upper reservoir will flow to the lower reservoir, which passes through the hydro-generator when the hydro-generator power is lower than the load demand. The on/off coordination of the hydro pump as well as hydro generation is carried out using a relay as a remote-controlled switch by the RasPi.
{"title":"Online Monitoring System for Pumped Hydro Storage Using RasPi Web Server","authors":"Syafii, Devianda Ananta Sandri, Novizon","doi":"10.1109/GlobConPT57482.2022.9938274","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938274","url":null,"abstract":"This paper presents the pumped hydro storage (PHS) monitoring system and control design. The monitoring and control technique developed uses Raspberry pi as a web server for the hydro pump operating system. The PHS monitoring system uses the ACS712 current and voltage sensor modules to read DC electrical parameters and PZEM sensors to read AC electricity. The ADS1115 component interfaces current and voltage sensor readings with Raspberry Pi (RasPi) digital inputs. Pumped hydro will operate to raise water from the lower reservoir to the upper reservoir when there is an excess of power from the solar generator to the load demand. Water from the upper reservoir will flow to the lower reservoir, which passes through the hydro-generator when the hydro-generator power is lower than the load demand. The on/off coordination of the hydro pump as well as hydro generation is carried out using a relay as a remote-controlled switch by the RasPi.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116037981","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938323
Madhuri Sahal, Vrinda Gupta, Manish R Tiwari
The proposed work exhibits the design and performance analysis of a circular polarized quasi-self-complementary antenna for spectrum sensing applications in modern wireless systems. The antenna exhibits dual band response in frequency ranges 3.82 to 6.47 GHz and 7.61 to 8.45 GHz. The antenna is circular polarized in the sub-6 GHz frequency range from 4.2 to 4.8 GHz. The identification of available spectrum is useful for dynamic allocation in 5G and higher technologies. The antenna proposed here has peak gain 3.5 dBic and an efficiency >80% and >70 % in the two bands. It has an electrical size equal to $0.55lambda_{0}times 0.55lambda_{0}times 0.0024lambda_{0}$.
{"title":"Circular Polarized Quasi-Self-Complementary Antenna for Spectrum Sensing and IoT","authors":"Madhuri Sahal, Vrinda Gupta, Manish R Tiwari","doi":"10.1109/GlobConPT57482.2022.9938323","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938323","url":null,"abstract":"The proposed work exhibits the design and performance analysis of a circular polarized quasi-self-complementary antenna for spectrum sensing applications in modern wireless systems. The antenna exhibits dual band response in frequency ranges 3.82 to 6.47 GHz and 7.61 to 8.45 GHz. The antenna is circular polarized in the sub-6 GHz frequency range from 4.2 to 4.8 GHz. The identification of available spectrum is useful for dynamic allocation in 5G and higher technologies. The antenna proposed here has peak gain 3.5 dBic and an efficiency >80% and >70 % in the two bands. It has an electrical size equal to $0.55lambda_{0}times 0.55lambda_{0}times 0.0024lambda_{0}$.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128055588","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938207
Anindya Bharatee, P. K. Ray, P. S. Puhan
The prime objective of this paper is to design electric vehicles charging system that should ensure effective charging control as well as least stress on the connected grid. The operating mode of the system is chosen by a suitable control scheme such that the electric vehicle will get the power either from the photo-voltaic array or from the utility grid. Vehicle to grid (V2G) power flow is also realized for the improvement of stability of the grid during the peak demands. During implementation, the photo-voltaic system is coupled with the DC/DC boost converter, the grid is connected with the bidirectional AC-DC converter, and they share a common DC link. The smooth transition between two operating modes determines the efficacy of the proposed control strategy. This proposed power management scheme for EV charging has been validated through simulation results.
{"title":"Power Management in a PV Integrated Electric Vehicle Charging System","authors":"Anindya Bharatee, P. K. Ray, P. S. Puhan","doi":"10.1109/GlobConPT57482.2022.9938207","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938207","url":null,"abstract":"The prime objective of this paper is to design electric vehicles charging system that should ensure effective charging control as well as least stress on the connected grid. The operating mode of the system is chosen by a suitable control scheme such that the electric vehicle will get the power either from the photo-voltaic array or from the utility grid. Vehicle to grid (V2G) power flow is also realized for the improvement of stability of the grid during the peak demands. During implementation, the photo-voltaic system is coupled with the DC/DC boost converter, the grid is connected with the bidirectional AC-DC converter, and they share a common DC link. The smooth transition between two operating modes determines the efficacy of the proposed control strategy. This proposed power management scheme for EV charging has been validated through simulation results.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127229142","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938164
S. Rajendran, M. Díaz, José Raúl Rodríguez Rodríguez
This work focuses on designing a nonlinear controller for maximum wind energy extraction with minimum stress on the drive train for variable speed wind turbines. A two-mass model is utilized for modeling the wind turbine. It can deal with aerodynamic nonlinearities and structural flexibility. Initially, conventional sliding mode controllers are adapted. However, these controllers have high oscillations on the drive train and control input. Further, to overcome the above issues, a fast terminal synergetic control, fast integral synergetic control, and fast terminal integral synergetic control with a wind estimator are proposed. Initially, a mathematical model was employed to test the controllers, and then a Fatigue, aerodynamics, structures, and turbulence 600 kW model was used to validate the existing and proposed control schemes. A comparative analysis has been conducted, and the results conclude that the fast terminal integral synergetic control improves the power capture with transient load reduction.
{"title":"Fast Terminal Integral Synergetic Control for Variable Speed Wind Turbine","authors":"S. Rajendran, M. Díaz, José Raúl Rodríguez Rodríguez","doi":"10.1109/GlobConPT57482.2022.9938164","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938164","url":null,"abstract":"This work focuses on designing a nonlinear controller for maximum wind energy extraction with minimum stress on the drive train for variable speed wind turbines. A two-mass model is utilized for modeling the wind turbine. It can deal with aerodynamic nonlinearities and structural flexibility. Initially, conventional sliding mode controllers are adapted. However, these controllers have high oscillations on the drive train and control input. Further, to overcome the above issues, a fast terminal synergetic control, fast integral synergetic control, and fast terminal integral synergetic control with a wind estimator are proposed. Initially, a mathematical model was employed to test the controllers, and then a Fatigue, aerodynamics, structures, and turbulence 600 kW model was used to validate the existing and proposed control schemes. A comparative analysis has been conducted, and the results conclude that the fast terminal integral synergetic control improves the power capture with transient load reduction.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"2007 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486245","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938270
Mohammad Habibullah, R. Shah, N. Mithulananthan, Syed Islam, Rabiul Islam
A comprehensive analytical simulation and experimental assessment of the DC microgrid (DCMG) under various disturbances are presented in this paper. The investigation shows that the disturbances can cause a significant impact, i.e., voltage deterioration and power oscillation at the common DC bus. The DC-link capacitance is identified as a critical parameter for power oscillation regulation on the DC bus. Furthermore, the experimental study reveals the adverse effect of the electromagnetic interference filter on the DC grid, which is usually employed to limit the oscillation in the DC grid. Furthermore, it should be worth noting that a single variable controller is not sufficient to handle significant or moderate disturbances. This paper's findings could be considered a guideline for a DC microgrid design.
{"title":"Modelling and Experimental Assessment of High-Frequency Oscillation in DC Microgrid","authors":"Mohammad Habibullah, R. Shah, N. Mithulananthan, Syed Islam, Rabiul Islam","doi":"10.1109/GlobConPT57482.2022.9938270","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938270","url":null,"abstract":"A comprehensive analytical simulation and experimental assessment of the DC microgrid (DCMG) under various disturbances are presented in this paper. The investigation shows that the disturbances can cause a significant impact, i.e., voltage deterioration and power oscillation at the common DC bus. The DC-link capacitance is identified as a critical parameter for power oscillation regulation on the DC bus. Furthermore, the experimental study reveals the adverse effect of the electromagnetic interference filter on the DC grid, which is usually employed to limit the oscillation in the DC grid. Furthermore, it should be worth noting that a single variable controller is not sufficient to handle significant or moderate disturbances. This paper's findings could be considered a guideline for a DC microgrid design.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"692 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124461500","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938199
Prachi Kaushik, S. Jabin
The thematic and disaster response maps prepared after the SAR analysis can aid the government, non-government, and business-specific needs in crucial decision making. It has been shown to be a quick and cost-effective way to provide a quick first-hand reaction to a disaster occurrence in locations where topography is unknown. We performed flood extent mapping in some parts of the worst-affected districts of West Bengal after the Amphan cyclone using SAR images with the cloud platform Google Earth engine. A real-time approach for identifying flood water based on automatic categorization and generating flood extent maps to access the damage is designed using the K-Means clustering algorithm on the sentinel-1 images. The clustering results for East Medinipur district revealed a clear estimate of 52,037 hectares of geographically flooded region. Flooding has affected 18,002 individuals, destroying 9,575 hectares of crops and 1,931 hectares of urban areas as a result of the cyclonic floods. In this work, an attempt has been made to use SAR satellites to detect floods and flood-affected areas in real-time.
{"title":"Flood Mapping of Amphan Disaster Using SENTINEL-1 IMAGES","authors":"Prachi Kaushik, S. Jabin","doi":"10.1109/GlobConPT57482.2022.9938199","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938199","url":null,"abstract":"The thematic and disaster response maps prepared after the SAR analysis can aid the government, non-government, and business-specific needs in crucial decision making. It has been shown to be a quick and cost-effective way to provide a quick first-hand reaction to a disaster occurrence in locations where topography is unknown. We performed flood extent mapping in some parts of the worst-affected districts of West Bengal after the Amphan cyclone using SAR images with the cloud platform Google Earth engine. A real-time approach for identifying flood water based on automatic categorization and generating flood extent maps to access the damage is designed using the K-Means clustering algorithm on the sentinel-1 images. The clustering results for East Medinipur district revealed a clear estimate of 52,037 hectares of geographically flooded region. Flooding has affected 18,002 individuals, destroying 9,575 hectares of crops and 1,931 hectares of urban areas as a result of the cyclonic floods. In this work, an attempt has been made to use SAR satellites to detect floods and flood-affected areas in real-time.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124480214","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938214
Bhim Singh, J. Gupta
In this work, a bidirectional charging system (BCS) based on transformerless approach is presented for the electric two wheelers (E2W) and three wheelers (E3W) battery packs. In order to eliminate high or low frequency transformers and associated drawbacks, and to maintain desired voltage gain between AC mains and low voltage battery packs, an extended gain bidirectional switched inductor zeta (EGBSIZ) converter is employed in the presented BCS at its DC-DC stage. The presented EGBSIZ converter based DC-DC stage not only ensures extended gain characteristics between grid and low voltage battery pack but also realize bidirectional power flow capability between both, and therefore, enhance the overall usability of the E2W and E3W in today's smart grid scenario. Further, the front end stage of the presented BCS is controlled in a manner to achieve distortion free supply current characteristics at AC mains even under distorted or polluted grid conditions. Finally, the presented BCS is modelled, and comprehensively analyzed through simulation under various operating conditions and the relevant results are discussed to support the high level of performance characteristics of the presented BCS.
{"title":"A Bidirectional Charging System for Electric Two-Wheelers and Three Wheelers","authors":"Bhim Singh, J. Gupta","doi":"10.1109/GlobConPT57482.2022.9938214","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938214","url":null,"abstract":"In this work, a bidirectional charging system (BCS) based on transformerless approach is presented for the electric two wheelers (E2W) and three wheelers (E3W) battery packs. In order to eliminate high or low frequency transformers and associated drawbacks, and to maintain desired voltage gain between AC mains and low voltage battery packs, an extended gain bidirectional switched inductor zeta (EGBSIZ) converter is employed in the presented BCS at its DC-DC stage. The presented EGBSIZ converter based DC-DC stage not only ensures extended gain characteristics between grid and low voltage battery pack but also realize bidirectional power flow capability between both, and therefore, enhance the overall usability of the E2W and E3W in today's smart grid scenario. Further, the front end stage of the presented BCS is controlled in a manner to achieve distortion free supply current characteristics at AC mains even under distorted or polluted grid conditions. Finally, the presented BCS is modelled, and comprehensively analyzed through simulation under various operating conditions and the relevant results are discussed to support the high level of performance characteristics of the presented BCS.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121648519","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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