Pub Date : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975463
Richa Parmar, A. K. Tripathi, Sanjay Kumar, C. Banerjee, K. Yadav, Mithilesh Kumar
Solar Photo Voltaic (SPV) power Converter is the new emerging solar technology in the field of renewable energy. This paper discusses about the design of different technologies of commercially offered solar power converters. It highlights the information about controlling, maintenance and monitoring of various electrical parameters. Further it also discusses about the risks and challenges faced by the testing personnel while observing the performance of different technologies of SPV Power Converters. The design and operations of OFF grid and ON grid systems define the average efficiency at full load between 86% - 90% and 94% - 96.8 % respectively. Overall the system efficiency is highly dependent on the performance of charge controller and MPPT. Research and experimental results followed by testing procedure, using applicable standards for solar power converters have been obtained for the description of the efficiency percentage guiding principle.
{"title":"Solar Photovoltaic Power Converters: Technologies and Their Testing Protocols for Indian Inevitabilities","authors":"Richa Parmar, A. K. Tripathi, Sanjay Kumar, C. Banerjee, K. Yadav, Mithilesh Kumar","doi":"10.1109/ICPECA47973.2019.8975463","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975463","url":null,"abstract":"Solar Photo Voltaic (SPV) power Converter is the new emerging solar technology in the field of renewable energy. This paper discusses about the design of different technologies of commercially offered solar power converters. It highlights the information about controlling, maintenance and monitoring of various electrical parameters. Further it also discusses about the risks and challenges faced by the testing personnel while observing the performance of different technologies of SPV Power Converters. The design and operations of OFF grid and ON grid systems define the average efficiency at full load between 86% - 90% and 94% - 96.8 % respectively. Overall the system efficiency is highly dependent on the performance of charge controller and MPPT. Research and experimental results followed by testing procedure, using applicable standards for solar power converters have been obtained for the description of the efficiency percentage guiding principle.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"14 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82173577","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 : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975395
Shamim Alam, T. Islam, U. Mittal
Humidity sensor is required to monitor the moisture level in the environment of substation and switchgear protection system. High humidity causes failure of the electrical apparatus in the protection yard. Simple inexpensive miniature humidity has been fabricated to monitor the humidity level in the switch gear and protection system. The sensor has been fabricated by depositing hydrophilic hydrogel film of polyvinyl alcohol on the surface acoustic wave device with resonating frequency of 433.92 MHz. Response characteristics of the sensor have been studied with vector network analyzer with the variation of humidity from $sim 0$ to 99%RH. The sensitivity below 30%RH is suitable for gas insulated substation application.
{"title":"A Sensitive Surface Acoustic Wave Sensor for Monitoring Humidity for Substation Application","authors":"Shamim Alam, T. Islam, U. Mittal","doi":"10.1109/ICPECA47973.2019.8975395","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975395","url":null,"abstract":"Humidity sensor is required to monitor the moisture level in the environment of substation and switchgear protection system. High humidity causes failure of the electrical apparatus in the protection yard. Simple inexpensive miniature humidity has been fabricated to monitor the humidity level in the switch gear and protection system. The sensor has been fabricated by depositing hydrophilic hydrogel film of polyvinyl alcohol on the surface acoustic wave device with resonating frequency of 433.92 MHz. Response characteristics of the sensor have been studied with vector network analyzer with the variation of humidity from $sim 0$ to 99%RH. The sensitivity below 30%RH is suitable for gas insulated substation application.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"22 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83736781","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 : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975663
Mudasir Ahmad Sheikh, L. Kumar, M. Beg
This paper addresses the problem of extraction of body sounds with a stethoscope having a single mechanical, less acoustic diaphragm by introducing a highly acoustic circular microphone array. This circular microphone array due to its exclusive advantages like signal enhancement, beamforming and steenng property, is capable of receiving sound signals from a desired direction and attenuates all other signals from other directions. In this paper, heart and lung are assumed as point sources, with a point on the sternum and just above its apex as a reference point to define the sphencal coordinates (r, $theta, phi$) of heait and lung sound.This paper uses Multiple Signal Classification (MUSIC) algorithm for Direction of Arrival (DOA) estimation of heart and lung sound sources. For radial filtenng or extraction of desired sound (say heart sound) from a mixed signal of heart and lung sound, an adaptive beamformer, like Linearly Constrained Mimmum Variance (LCMV) beamformer is adopted. Real-time data is received by Umform Circular Array (UCA) and then recorded by an adobe audition software in a noise-free enviromnent. Results are simulated by Matlab. Though the results are obtained for heart and lung sound, but it can be extended to extract all other body sounds like bowel sounds, fetus sound etc. and hence leads to develop a universal body sound analyzer.
{"title":"Circular Microphone Array Based Stethoscope for Radial Filtering of Body Sounds","authors":"Mudasir Ahmad Sheikh, L. Kumar, M. Beg","doi":"10.1109/ICPECA47973.2019.8975663","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975663","url":null,"abstract":"This paper addresses the problem of extraction of body sounds with a stethoscope having a single mechanical, less acoustic diaphragm by introducing a highly acoustic circular microphone array. This circular microphone array due to its exclusive advantages like signal enhancement, beamforming and steenng property, is capable of receiving sound signals from a desired direction and attenuates all other signals from other directions. In this paper, heart and lung are assumed as point sources, with a point on the sternum and just above its apex as a reference point to define the sphencal coordinates (r, $theta, phi$) of heait and lung sound.This paper uses Multiple Signal Classification (MUSIC) algorithm for Direction of Arrival (DOA) estimation of heart and lung sound sources. For radial filtenng or extraction of desired sound (say heart sound) from a mixed signal of heart and lung sound, an adaptive beamformer, like Linearly Constrained Mimmum Variance (LCMV) beamformer is adopted. Real-time data is received by Umform Circular Array (UCA) and then recorded by an adobe audition software in a noise-free enviromnent. Results are simulated by Matlab. Though the results are obtained for heart and lung sound, but it can be extended to extract all other body sounds like bowel sounds, fetus sound etc. and hence leads to develop a universal body sound analyzer.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"43 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91393136","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 : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975562
Abhishek Sharma, Abha Gahlot, Monika Vardia, P. C. Bapna
The zero voltage switching (ZVS) full-bridge inverter circuit with a fuzzy logic controller is simulated and proposed in this paper. The condition of zero voltage switching is analyzed & produced for main MOSFET switches for a large range of power. The reverse-recovery of the body diode between the drain and source of MOSFET switches is reduced & the condition of ZVS is achieved. This paper proposed that a new synchronization of the closed feedback loop provided to the fuzzy logic controller by the circuit. A fuzzy logic controller (FLC) is simulated which decreases the computational cost & assures that the circuit load voltage is almost constant as well as increases the efficiency of the circuit. It also optimizes the performance of the inverter. To validate the effectiveness of the simulated control approach, the voltage, current, efficiency curves & load power waveforms of the proposed inverter circuit are presented. The grid-connected full bridge inverter with the DSP controller was implemented which produces 98.8% efficiency but in the end, the modeling and simulation of ZVS inverter with a fuzzy controller are used to extract the result & discuss the feasibility and validity of the new proposed circuit. In according to the simulation results, maximum efficiency 99.0% is achieved and it is maximum in comparison with previous techniques were used with ZVS full-bridge inverter circuit.
{"title":"Modeling And Simulation of Full Bridge Zero Voltage Switching Inverter with Fuzzy Logic Controller","authors":"Abhishek Sharma, Abha Gahlot, Monika Vardia, P. C. Bapna","doi":"10.1109/ICPECA47973.2019.8975562","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975562","url":null,"abstract":"The zero voltage switching (ZVS) full-bridge inverter circuit with a fuzzy logic controller is simulated and proposed in this paper. The condition of zero voltage switching is analyzed & produced for main MOSFET switches for a large range of power. The reverse-recovery of the body diode between the drain and source of MOSFET switches is reduced & the condition of ZVS is achieved. This paper proposed that a new synchronization of the closed feedback loop provided to the fuzzy logic controller by the circuit. A fuzzy logic controller (FLC) is simulated which decreases the computational cost & assures that the circuit load voltage is almost constant as well as increases the efficiency of the circuit. It also optimizes the performance of the inverter. To validate the effectiveness of the simulated control approach, the voltage, current, efficiency curves & load power waveforms of the proposed inverter circuit are presented. The grid-connected full bridge inverter with the DSP controller was implemented which produces 98.8% efficiency but in the end, the modeling and simulation of ZVS inverter with a fuzzy controller are used to extract the result & discuss the feasibility and validity of the new proposed circuit. In according to the simulation results, maximum efficiency 99.0% is achieved and it is maximum in comparison with previous techniques were used with ZVS full-bridge inverter circuit.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83082893","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 : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975530
Mohammad Jasim Usmani, A. Haque, V. S. Kurukuru, Mohammed Ali Khan
Hybrid Electric vehicles are widely considered as the emerging solutions for green technology in the field of transportation due to their user and eco-friendly interface. The conventional energy storage system is prone to multiple types of faults, discharging problems and many more. To overcome these constraints, this paper develops a hybrid battery ultra-capacitor system with optimized control for hybrid electric vehicles. This aims at constructing an energy model of an electric vehicle powered by a hybrid energy system with the help of simulation tools. A hybrid controller is proposed to control the power flow and charging of battery ultra-capacitor system. The hybrid controller adapts fuzzy logic control for intelligent operation and particle swarm optimization for updating the weights of fuzzy. The results depicted an efficient operation of the proposed hybrid energy storage with the adapted controller. Further the results are compared with the standard European driving cycle.
{"title":"Power Management for Hybrid Energy Storage System in Electric Vehicles","authors":"Mohammad Jasim Usmani, A. Haque, V. S. Kurukuru, Mohammed Ali Khan","doi":"10.1109/ICPECA47973.2019.8975530","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975530","url":null,"abstract":"Hybrid Electric vehicles are widely considered as the emerging solutions for green technology in the field of transportation due to their user and eco-friendly interface. The conventional energy storage system is prone to multiple types of faults, discharging problems and many more. To overcome these constraints, this paper develops a hybrid battery ultra-capacitor system with optimized control for hybrid electric vehicles. This aims at constructing an energy model of an electric vehicle powered by a hybrid energy system with the help of simulation tools. A hybrid controller is proposed to control the power flow and charging of battery ultra-capacitor system. The hybrid controller adapts fuzzy logic control for intelligent operation and particle swarm optimization for updating the weights of fuzzy. The results depicted an efficient operation of the proposed hybrid energy storage with the adapted controller. Further the results are compared with the standard European driving cycle.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"36 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89942295","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 : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975437
Altaf Alam, Z. Jaffery
Driver can drive a vehicle on road very smoothly, if he knows about the road and non road region in surrounding environments. Accurate road detection is an important and difficult task for the development of vision based autonomous land vehicle. Therefore this research work proposed an algorithm which can separate road and non road region effectively. Nearest neighbor algorithm has trained with chromatic information to differentiate the road and surrounding environments. Created classifier divide the image of road region into three classes such as road region, near background region and far background region. Classifier training process utilized chromatic information from that color space which has more resemblance with human color perception. System performance is evaluated on the basis of precision, recall and required training time. Achieved results signify that overall performance of the system is worthy.
{"title":"Nearest Neighbor Classifier for Vision Based Unstructured Road Detection","authors":"Altaf Alam, Z. Jaffery","doi":"10.1109/ICPECA47973.2019.8975437","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975437","url":null,"abstract":"Driver can drive a vehicle on road very smoothly, if he knows about the road and non road region in surrounding environments. Accurate road detection is an important and difficult task for the development of vision based autonomous land vehicle. Therefore this research work proposed an algorithm which can separate road and non road region effectively. Nearest neighbor algorithm has trained with chromatic information to differentiate the road and surrounding environments. Created classifier divide the image of road region into three classes such as road region, near background region and far background region. Classifier training process utilized chromatic information from that color space which has more resemblance with human color perception. System performance is evaluated on the basis of precision, recall and required training time. Achieved results signify that overall performance of the system is worthy.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78198643","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 : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975456
U. Upadhyay, Fahad Mehfuz, Aryan Mediratta, Asma Aijaz
Dynamic License Plate Recognition (DLPR) has been a successive subject of research because of numerous functional applications. Be that as it may, a significant number of the present arrangements are still not reliable in certifiable circumstances, usually relying upon innumerable limitations. This paper exhibits an active and productive DLPR framework and architecture, which can be implemented for dynamic license plate identification based on the best in class YOLO object identifier. The Convolutional Neural Networks (CNN) are prepared and calibrated so that their robustness is sustained under diverse setups (e.g., varieties in the camera, illumination, and foundation). Extraordinarily for character segregation and identification, we structure a methodology utilizing straightforward information enlargement instances, for example, reversed LPs and inverted characters. The subsequent DLPR modus operandi accomplished noteworthy outcomes in the data sets. Our test results show that the proposed strategy and deployment architecture, with no parameter adjustment, performs exceptionally well on the data collected dynamically from a video using a raspberry pi and has been successful in identifying multiple license plates and extracting the characters, the process, however, is time exhaustive.
{"title":"Analysis and Architecture for the deployment of Dynamic License Plate Recognition Using YOLO Darknet","authors":"U. Upadhyay, Fahad Mehfuz, Aryan Mediratta, Asma Aijaz","doi":"10.1109/ICPECA47973.2019.8975456","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975456","url":null,"abstract":"Dynamic License Plate Recognition (DLPR) has been a successive subject of research because of numerous functional applications. Be that as it may, a significant number of the present arrangements are still not reliable in certifiable circumstances, usually relying upon innumerable limitations. This paper exhibits an active and productive DLPR framework and architecture, which can be implemented for dynamic license plate identification based on the best in class YOLO object identifier. The Convolutional Neural Networks (CNN) are prepared and calibrated so that their robustness is sustained under diverse setups (e.g., varieties in the camera, illumination, and foundation). Extraordinarily for character segregation and identification, we structure a methodology utilizing straightforward information enlargement instances, for example, reversed LPs and inverted characters. The subsequent DLPR modus operandi accomplished noteworthy outcomes in the data sets. Our test results show that the proposed strategy and deployment architecture, with no parameter adjustment, performs exceptionally well on the data collected dynamically from a video using a raspberry pi and has been successful in identifying multiple license plates and extracting the characters, the process, however, is time exhaustive.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"11 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81934062","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 : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975664
M. Zaid, Abid, S. S. Islam, M. Husain
A comparative study of N type porous silicon (PS) morphology by using Field Emission Scanning Electron Microscope (FESEM) Imaging, Raman Spectroscopy and Photoluminescence (PL) spectroscopy analysis. Samples of crystalline silicon were electrochemically etched at a constant current density and a constant anodization time illuminated under different wavelengths of visible light emitted by LEDs to convert them into nanowire-based PS wafers. FESEM characterization showed formation of nanowires of different porosities on the wafer for varying wavelengths subjected to the samples during etching. Raman spectroscopy further showed right shift in Raman peaks of the amorphous silicon wafer while PL spectroscopy concluded in tuning of energy band gap of the samples illuminated under different wavelengths of light. In this work, we show the differences obtained in the behavior of PS when etched under different degrees of illumination for further application in fabrication of integrated silicon-based optoelectronic systems as the properties of a porous silicon such as porosity, pore diameter and thickness depend heavily on the fabrication process and can be comfortably controlled.
{"title":"Nanowire based size-dependent Photoluminescence and Raman studies of N type porous silicon etched under illumination of varying wavelengths","authors":"M. Zaid, Abid, S. S. Islam, M. Husain","doi":"10.1109/ICPECA47973.2019.8975664","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975664","url":null,"abstract":"A comparative study of N type porous silicon (PS) morphology by using Field Emission Scanning Electron Microscope (FESEM) Imaging, Raman Spectroscopy and Photoluminescence (PL) spectroscopy analysis. Samples of crystalline silicon were electrochemically etched at a constant current density and a constant anodization time illuminated under different wavelengths of visible light emitted by LEDs to convert them into nanowire-based PS wafers. FESEM characterization showed formation of nanowires of different porosities on the wafer for varying wavelengths subjected to the samples during etching. Raman spectroscopy further showed right shift in Raman peaks of the amorphous silicon wafer while PL spectroscopy concluded in tuning of energy band gap of the samples illuminated under different wavelengths of light. In this work, we show the differences obtained in the behavior of PS when etched under different degrees of illumination for further application in fabrication of integrated silicon-based optoelectronic systems as the properties of a porous silicon such as porosity, pore diameter and thickness depend heavily on the fabrication process and can be comfortably controlled.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"25 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85362968","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 : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975506
Himani Dua Sehgal, Yogesh Pratap, Mridula Gupta, S. Kabra
In this work, a comprehensive comparative analysis of a junctionless FinFET and a junctionless double gate (DG) MOSFET as label free biosensor has been carried out. Nanogap cavity is created and filled with different biomolecules having dielectric constant ranging from 1 to 10. Different sensing parameters including threshold voltage, OFF current, surface potential gradient and ratio of ON current to OFF current (Ion/Ioff) are used for the detection of biomolecules. These parameters are compared for JLT FinFET and JLT DG MOSFET to find out which device provides better sensitivity as a biosensor. Other sensing parameters which have been calculated to analyze the performance of JLT FinFET biosensor are drain current, transconductance (gm) and output-conductance (gd). Different parameters are analyzed for the detection of biomolecules to find out which parameter provides better sensitivity as a detecting parameter. Threshold Voltage, Surface Potential and OFF current are better sensing parameters for lower values of gate voltage.
{"title":"Comparative Analysis of Dielectric Modulated Junctionless FinFET Biosensor and Junctionless DG MOSFET Biosensor for Medical Instrumentation","authors":"Himani Dua Sehgal, Yogesh Pratap, Mridula Gupta, S. Kabra","doi":"10.1109/ICPECA47973.2019.8975506","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975506","url":null,"abstract":"In this work, a comprehensive comparative analysis of a junctionless FinFET and a junctionless double gate (DG) MOSFET as label free biosensor has been carried out. Nanogap cavity is created and filled with different biomolecules having dielectric constant ranging from 1 to 10. Different sensing parameters including threshold voltage, OFF current, surface potential gradient and ratio of ON current to OFF current (Ion/Ioff) are used for the detection of biomolecules. These parameters are compared for JLT FinFET and JLT DG MOSFET to find out which device provides better sensitivity as a biosensor. Other sensing parameters which have been calculated to analyze the performance of JLT FinFET biosensor are drain current, transconductance (gm) and output-conductance (gd). Different parameters are analyzed for the detection of biomolecules to find out which parameter provides better sensitivity as a detecting parameter. Threshold Voltage, Surface Potential and OFF current are better sensing parameters for lower values of gate voltage.","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"13 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81692691","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 : 2019-11-01DOI: 10.1109/ICPECA47973.2019.8975407
Mohd Tauheed Khan, Munna Khan, M. Hasan
This paper provides full-wave rectifier architecture based on carbon nanotubes Field Effect Transistors (CNTFETs). In this shaping (rectifier) circuit the resultant threshold voltage of switching transistor is diminished with the use of bootstrapped capacitors. This architecture has a very good overall power efficiency, ripple and low voltage drop even at very low input voltage (typical voltage $sim$0.5V) over a ample range of frequency (30-50 MHz). Hence, this rectifier architecture is suitable to use in the environment of low power like implantable biomedical circuits. Dynamic Bulk Switching (DBS) technique has been used to bias the bulk of chosen transistors. This technique lower the leakage current to the bulk reducing on resistance. This architecture works very well at low voltage (0. 5V to 0. 6V) and high operating frequency (50MHz).
{"title":"Carbon Nanotube FET based Power Shaping Circuit used in Biomedical Applications","authors":"Mohd Tauheed Khan, Munna Khan, M. Hasan","doi":"10.1109/ICPECA47973.2019.8975407","DOIUrl":"https://doi.org/10.1109/ICPECA47973.2019.8975407","url":null,"abstract":"This paper provides full-wave rectifier architecture based on carbon nanotubes Field Effect Transistors (CNTFETs). In this shaping (rectifier) circuit the resultant threshold voltage of switching transistor is diminished with the use of bootstrapped capacitors. This architecture has a very good overall power efficiency, ripple and low voltage drop even at very low input voltage (typical voltage $sim$0.5V) over a ample range of frequency (30-50 MHz). Hence, this rectifier architecture is suitable to use in the environment of low power like implantable biomedical circuits. Dynamic Bulk Switching (DBS) technique has been used to bias the bulk of chosen transistors. This technique lower the leakage current to the bulk reducing on resistance. This architecture works very well at low voltage (0. 5V to 0. 6V) and high operating frequency (50MHz).","PeriodicalId":6761,"journal":{"name":"2019 International Conference on Power Electronics, Control and Automation (ICPECA)","volume":"78 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83749280","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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