Pub Date : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067946
Bony Thomas, R. Rajendran, Yasasvitha Koganti, V. Maheswari
This project deals with the development of a portable embedded device which is capable of analysing the effect of color blindness on EEG signal. Python Running on Beagle bone black is used to display the colors on the monitor in a predefined interval of time. The electrode used to capture the EEG signal is connected to Beagle board and the sensor is calibrated properly to adjust the capturing voltages. The Energy and Entropy of the signal is calculated and matched with the reference energy to conclude the person is color blind or not.
本课题是开发一种便携式嵌入式设备，用于分析色盲对脑电图信号的影响。Python在Beagle bone black上运行用于在预定义的时间间隔内显示监视器上的颜色。将用于捕获EEG信号的电极连接到Beagle板上，并对传感器进行适当校准以调整捕获电压。计算信号的能量和熵，并与参考能量进行匹配，判断该人是否色盲。
{"title":"Portable embedded device to analyse the effect of color blindness on EEG","authors":"Bony Thomas, R. Rajendran, Yasasvitha Koganti, V. Maheswari","doi":"10.1109/ICNETS2.2017.8067946","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067946","url":null,"abstract":"This project deals with the development of a portable embedded device which is capable of analysing the effect of color blindness on EEG signal. Python Running on Beagle bone black is used to display the colors on the monitor in a predefined interval of time. The electrode used to capture the EEG signal is connected to Beagle board and the sensor is calibrated properly to adjust the capturing voltages. The Energy and Entropy of the signal is calculated and matched with the reference energy to conclude the person is color blind or not.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"21 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132025116","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 : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067924
K. Suchitra, K. K. Nagarajan, R. Srinivasan
i-FinFET, an evolutionary FinFET design, offers better short channel performance. In this work, the scaling characteristics of the iFinFET and FinFET are studied using 3D TCAD simulations based on their ION/IOFF ratio. It is found that the better performance in iFinFET is achieved only below certain gate length. The gate length below which the iFinFET shows better performance is called optimal gate length, and the optimal gate length is a function of various geometrical and doping parameters. In this study, we have derived an empirical relation for the optimal gate length in terms of gate oxide thickness, fin width, and fin height.
{"title":"Optimal gate length estimation of iFinFET","authors":"K. Suchitra, K. K. Nagarajan, R. Srinivasan","doi":"10.1109/ICNETS2.2017.8067924","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067924","url":null,"abstract":"i-FinFET, an evolutionary FinFET design, offers better short channel performance. In this work, the scaling characteristics of the iFinFET and FinFET are studied using 3D TCAD simulations based on their ION/IOFF ratio. It is found that the better performance in iFinFET is achieved only below certain gate length. The gate length below which the iFinFET shows better performance is called optimal gate length, and the optimal gate length is a function of various geometrical and doping parameters. In this study, we have derived an empirical relation for the optimal gate length in terms of gate oxide thickness, fin width, and fin height.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114985959","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 : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067933
Singh Rohitkumar Shailendra, V. N. Ramakrishnan
In this work the authors have focused on Carbon Nanotube (CNT) and Carbon Nanotubes Field Effect Transistors (CNTFETs). In every 18 months the number of transistors in an integrated circuit doubles according to Moore's law. This increased number of transistors means the size of transistors will decrease as a result of which the circuit size decreases. As the size of the transistor decreases below 10 nm, the traditional MOSFETs show multiple limitations, thereby leading to the development of CNTFETs in order to replace these MOSFETs. For CNTFETs, the quantum capacitance plays a major role in deciding the gate capacitance. The band gap of CNT is inversely proportional to the diameter of carbon nanotube. The saturation current increases when dielectric constant value increases. In this paper, it is studied that the nano-scale domain CNTFETs devices are better compare to MOSFETs due to their reduced quantum capacitance.
{"title":"Analysis of quantum capacitance on different dielectrics and its dependence on threshold voltage of CNTFET","authors":"Singh Rohitkumar Shailendra, V. N. Ramakrishnan","doi":"10.1109/ICNETS2.2017.8067933","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067933","url":null,"abstract":"In this work the authors have focused on Carbon Nanotube (CNT) and Carbon Nanotubes Field Effect Transistors (CNTFETs). In every 18 months the number of transistors in an integrated circuit doubles according to Moore's law. This increased number of transistors means the size of transistors will decrease as a result of which the circuit size decreases. As the size of the transistor decreases below 10 nm, the traditional MOSFETs show multiple limitations, thereby leading to the development of CNTFETs in order to replace these MOSFETs. For CNTFETs, the quantum capacitance plays a major role in deciding the gate capacitance. The band gap of CNT is inversely proportional to the diameter of carbon nanotube. The saturation current increases when dielectric constant value increases. In this paper, it is studied that the nano-scale domain CNTFETs devices are better compare to MOSFETs due to their reduced quantum capacitance.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123762675","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 : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067919
A. Aditya, E. Rufus
Miniaturized sensor's exhibit fast responses with minimal sample volume and feasibility of mass production. The Micro-cantilever based sensor detection scheme has been proved as a potential technology for sensing chemical and biological agents with high sensitivity and selectivity. The geometrical variation and dimensional scalability are the major adaptation techniques in order to achieve the trade off between sensitivity and selectivity. In order to achieve high sensitivity, scaling the dimensions down further makes fabrication and immobilisation a complex process. This paper proposes the incorporation of fractal geometry for a micro-cantilever for mass sensing applications at pico gram level of particles and concentrated on level one of fractal's. The dimensions of the cantilever are around 200∗20 micron (um) with level one fractal structure having a scaling factor of n=0.9 and with a gradient of 30 degrees with horizontal plane. The modelling and simulation of this geometry showed a promising result in increasing sensitivity with an added mass of gold particle of 1um∗ 1um∗ 1um at the tip of the cantilever and increase in surface area in this structures results in more selectivity.
{"title":"Modelling and simulation of fractal cantilever's MEMS based for mass sensing applications","authors":"A. Aditya, E. Rufus","doi":"10.1109/ICNETS2.2017.8067919","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067919","url":null,"abstract":"Miniaturized sensor's exhibit fast responses with minimal sample volume and feasibility of mass production. The Micro-cantilever based sensor detection scheme has been proved as a potential technology for sensing chemical and biological agents with high sensitivity and selectivity. The geometrical variation and dimensional scalability are the major adaptation techniques in order to achieve the trade off between sensitivity and selectivity. In order to achieve high sensitivity, scaling the dimensions down further makes fabrication and immobilisation a complex process. This paper proposes the incorporation of fractal geometry for a micro-cantilever for mass sensing applications at pico gram level of particles and concentrated on level one of fractal's. The dimensions of the cantilever are around 200∗20 micron (um) with level one fractal structure having a scaling factor of n=0.9 and with a gradient of 30 degrees with horizontal plane. The modelling and simulation of this geometry showed a promising result in increasing sensitivity with an added mass of gold particle of 1um∗ 1um∗ 1um at the tip of the cantilever and increase in surface area in this structures results in more selectivity.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121493049","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 : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067918
S. Chaitra, C. Veena, K. S. Rao, Preeta Sharan
Detection of cancer in early stage is what the top priority in the field of medical. This early stage detection of cancer can lead to much added benefits and also a life saving technique. In this paper, a 2-dimensional SPR based sensor is designed for thorough spectral analysis of “Leukemia”. As dielectric properties of the cancer cells differ from the normal cell, they can be differentiated and detected using photonic approach. In the present work, SPR technique is done and the simulation is done to analys the sensor using Eand H fields. The shifts in the output waveforms and frequencies have been observed for a normal blood cell and that with a cancerous cell. Its clear from simulation that for minor change of RI of the biosample taken into consideration there will be shift in the resonant frequency therefore exhibiting an biosensor. The designed sensor can distinguish between normal and cancerous cell. This indicates its high sensitiveness even for minute change in refractive index. The achieved sensor has an sensitivity of 343 nm/RIU.
{"title":"SPR based biosensor for the detection of abnormal growth of tissues","authors":"S. Chaitra, C. Veena, K. S. Rao, Preeta Sharan","doi":"10.1109/ICNETS2.2017.8067918","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067918","url":null,"abstract":"Detection of cancer in early stage is what the top priority in the field of medical. This early stage detection of cancer can lead to much added benefits and also a life saving technique. In this paper, a 2-dimensional SPR based sensor is designed for thorough spectral analysis of “Leukemia”. As dielectric properties of the cancer cells differ from the normal cell, they can be differentiated and detected using photonic approach. In the present work, SPR technique is done and the simulation is done to analys the sensor using Eand H fields. The shifts in the output waveforms and frequencies have been observed for a normal blood cell and that with a cancerous cell. Its clear from simulation that for minor change of RI of the biosample taken into consideration there will be shift in the resonant frequency therefore exhibiting an biosensor. The designed sensor can distinguish between normal and cancerous cell. This indicates its high sensitiveness even for minute change in refractive index. The achieved sensor has an sensitivity of 343 nm/RIU.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124949540","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 : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067889
K. Rani
With help of Image processing foundation, Optical Character Recognition can be handled to distinguish the content in a picture. This would be useful for visually impaired individuals by giving a sound indication to them. This work will be accomplished by utilizing Intel Edison and the application in the framework is composed in python with libraries of OpenCV. At the point when outwardly weakened individuals see the scene through webcam UVC module, which is associated with Intel Edison catch the picture. Captured picture will be handled by yocto module which based open source inside Intel Edison. At the point when the framework process an image, Yocto module would give relating directions to recognize message in a caught picture from the video stream, the framework would call the Bluez module and Alsa sound module to change the guidelines to voice through remote earphones.
{"title":"An audio aided smart vision system for visually impaired","authors":"K. Rani","doi":"10.1109/ICNETS2.2017.8067889","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067889","url":null,"abstract":"With help of Image processing foundation, Optical Character Recognition can be handled to distinguish the content in a picture. This would be useful for visually impaired individuals by giving a sound indication to them. This work will be accomplished by utilizing Intel Edison and the application in the framework is composed in python with libraries of OpenCV. At the point when outwardly weakened individuals see the scene through webcam UVC module, which is associated with Intel Edison catch the picture. Captured picture will be handled by yocto module which based open source inside Intel Edison. At the point when the framework process an image, Yocto module would give relating directions to recognize message in a caught picture from the video stream, the framework would call the Bluez module and Alsa sound module to change the guidelines to voice through remote earphones.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126363619","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 : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067929
P. Arathi, S. Arthika, S. Ponmithra, K. Srinivasan, V. Rukkumani
Automation is the essential need for the present world. There are various types of automations like building automation, industrial automation, Home automation, Artificial Intelligence, etc. Smart can be a potential application which provides support to elderly or disabled persons. Home automation is the use and control of home appliances remotely or automatically. Day by day the gap between machines and humans is being reduced. Nowadays hand gesture based home automation is getting more importance. Gesture recognition refers to recognising the motion of the human parts like hand, face, etc. Most of the electronic components manufactures focuses on the hand gesture basis. In this proposed work MATLAB based algorithm is used. This proposed work uses this tool for the recognition and processing of the hand gesture. The algorithm used for this proposed work is the object detection algorithm. At first the image is captured by the camera and it is processed by the MATLAB, if the preloaded gesture is matched with the existing gesture the data will be sent to the microcontroller, then the home appliances are controlled. There are other applications which could be controlled by a gesture such as media players, robots and virtual objects. The hardware module consists of camera, PIC microcontroller, fan, light, power supply, LED, GSM module. This hardware module is communicated with simulation software using a USB to serial converter bus which comes along with driver software.
{"title":"Gesture based home automation system","authors":"P. Arathi, S. Arthika, S. Ponmithra, K. Srinivasan, V. Rukkumani","doi":"10.1109/ICNETS2.2017.8067929","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067929","url":null,"abstract":"Automation is the essential need for the present world. There are various types of automations like building automation, industrial automation, Home automation, Artificial Intelligence, etc. Smart can be a potential application which provides support to elderly or disabled persons. Home automation is the use and control of home appliances remotely or automatically. Day by day the gap between machines and humans is being reduced. Nowadays hand gesture based home automation is getting more importance. Gesture recognition refers to recognising the motion of the human parts like hand, face, etc. Most of the electronic components manufactures focuses on the hand gesture basis. In this proposed work MATLAB based algorithm is used. This proposed work uses this tool for the recognition and processing of the hand gesture. The algorithm used for this proposed work is the object detection algorithm. At first the image is captured by the camera and it is processed by the MATLAB, if the preloaded gesture is matched with the existing gesture the data will be sent to the microcontroller, then the home appliances are controlled. There are other applications which could be controlled by a gesture such as media players, robots and virtual objects. The hardware module consists of camera, PIC microcontroller, fan, light, power supply, LED, GSM module. This hardware module is communicated with simulation software using a USB to serial converter bus which comes along with driver software.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116830502","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 : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067934
K. Karthikeyan, L. Sujatha
The presence of heavy metal ions such as Lead (Pb2+), Mercury (Hg2+), Cadmium (Cd2+), Arsenic (As3+) and Chromium (Cr3) in water cause serious and long-term effects on human health. In particular, they may cause kidney damage, liver damage, lung cancer, neurotic disorder, anemia, discoloration of hands and feet. Hence detection and quantification of these metal ions are important for health care and prevention of serious diseases. This paper aims at the design, analysis and fabrication of microfluidic device for improved mixing performance using herringbone type of micromixer for sensing of mercury ions in water.
{"title":"Design and fabrication of microfluidic device for mercury ions detection in water","authors":"K. Karthikeyan, L. Sujatha","doi":"10.1109/ICNETS2.2017.8067934","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067934","url":null,"abstract":"The presence of heavy metal ions such as Lead (Pb<sup>2+</sup>), Mercury (Hg<sup>2</sup>+), Cadmium (Cd<sup>2</sup>+), Arsenic (As<sup>3</sup>+) and Chromium (Cr<sup>3</sup>) in water cause serious and long-term effects on human health. In particular, they may cause kidney damage, liver damage, lung cancer, neurotic disorder, anemia, discoloration of hands and feet. Hence detection and quantification of these metal ions are important for health care and prevention of serious diseases. This paper aims at the design, analysis and fabrication of microfluidic device for improved mixing performance using herringbone type of micromixer for sensing of mercury ions in water.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131046254","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 : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067960
D. P. Varma, Ravi Prakash Dwivedi, K. Ushakiran
The microstrip patch antenna has been designed with noncontact feeding method of aperture coupled microstrip patch antenna (ACMPA). In this study a comparative analysis of high gain antenna has been carried out. ACMPA has been designed with the rectangular shape of aperture coupling. Frequency Selective Surface has been incorporated to enhance the gain. Gain comparison has been done between ACMPA with and without FSS. It has been seen that the performance has been enhanced with FSS. All the simulation has been done using Ansoft HFSS. To validate the design performance parameters like return loss, gain and VSWR has been computed. Prototype has been designed for WiMAX application at 5.8 GHz.
{"title":"Comparative analysis of microstrip antenna for high gain using FSS","authors":"D. P. Varma, Ravi Prakash Dwivedi, K. Ushakiran","doi":"10.1109/ICNETS2.2017.8067960","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067960","url":null,"abstract":"The microstrip patch antenna has been designed with noncontact feeding method of aperture coupled microstrip patch antenna (ACMPA). In this study a comparative analysis of high gain antenna has been carried out. ACMPA has been designed with the rectangular shape of aperture coupling. Frequency Selective Surface has been incorporated to enhance the gain. Gain comparison has been done between ACMPA with and without FSS. It has been seen that the performance has been enhanced with FSS. All the simulation has been done using Ansoft HFSS. To validate the design performance parameters like return loss, gain and VSWR has been computed. Prototype has been designed for WiMAX application at 5.8 GHz.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124559188","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 : 2017-03-01DOI: 10.1109/ICNETS2.2017.8067956
K. Kavya, Ravi Prakash Dwivedi
Background: The CPW fractal antenna has been designed with hexagonal-cut, square-cut, triangular-cut shaped geometries on a composite material of Fr4 as a substrate with εr=4.4 of relative permittivity and 1.6mm thickness. Methods/Statistical analysis: In this paper, a comparative analysis for three different shaped CPW fractal antennas designed based on iterative function systems of self-similarity structures. To improve the gain, Frequency Selective Surface (FSS) is used for the fractal antenna design. Findings: The gain comparison of CPW fractal antenna with and without FSS of two different structures for three proposed CPW fractal shaped antennae are investigated. After implementing with FSS gain of the three antennas has improved with 3dB. The simulation results of return loss and gain are observed using the HFSS software. Application: The resonant frequency for the designed CPW antenna is 5.8 GHz and it is useful for WiMAX application.
{"title":"Study on CPW antenna using fractal geometry for WiMax application","authors":"K. Kavya, Ravi Prakash Dwivedi","doi":"10.1109/ICNETS2.2017.8067956","DOIUrl":"https://doi.org/10.1109/ICNETS2.2017.8067956","url":null,"abstract":"Background: The CPW fractal antenna has been designed with hexagonal-cut, square-cut, triangular-cut shaped geometries on a composite material of Fr4 as a substrate with εr=4.4 of relative permittivity and 1.6mm thickness. Methods/Statistical analysis: In this paper, a comparative analysis for three different shaped CPW fractal antennas designed based on iterative function systems of self-similarity structures. To improve the gain, Frequency Selective Surface (FSS) is used for the fractal antenna design. Findings: The gain comparison of CPW fractal antenna with and without FSS of two different structures for three proposed CPW fractal shaped antennae are investigated. After implementing with FSS gain of the three antennas has improved with 3dB. The simulation results of return loss and gain are observed using the HFSS software. Application: The resonant frequency for the designed CPW antenna is 5.8 GHz and it is useful for WiMAX application.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133016526","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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