Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452884
Gulfishan Mobin, Abhishek Roy
since the inception of human civilization, the invention of fire and wheel has played a vital role in its gradual evolution through several decades. Precisely, after human beings have learned to cook tasty food using fire, they also faced the issue of immediate paucity of food in their vicinity. As a result, they had to travel from one location to another location in search of food, shelter and for a better lifestyle. This eternal search for a better lifestyle is still carried forward in this present generation. With gradual scientific developments, its applications have made this search more easier and convenient for us. Mainly due to the attraction of urban and comfortable lifestyles, this flow of masses directs from rural areas to urban areas, which has created huge pressure over the lifestyle and particularly the transportation system of urban areas. The economic development of any city is dependent on its business friendly environment. Researchers have applied several advanced technologies to implement the smart transportation system within and out a city to roll out urban lifestyle in full gear. In this paper authors have studied those existing research works to find scope for further contribution in the area of smart transportation system in a more integrated manner.
{"title":"A literature review on cloud based smart transport system","authors":"Gulfishan Mobin, Abhishek Roy","doi":"10.1109/ICOEI51242.2021.9452884","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452884","url":null,"abstract":"since the inception of human civilization, the invention of fire and wheel has played a vital role in its gradual evolution through several decades. Precisely, after human beings have learned to cook tasty food using fire, they also faced the issue of immediate paucity of food in their vicinity. As a result, they had to travel from one location to another location in search of food, shelter and for a better lifestyle. This eternal search for a better lifestyle is still carried forward in this present generation. With gradual scientific developments, its applications have made this search more easier and convenient for us. Mainly due to the attraction of urban and comfortable lifestyles, this flow of masses directs from rural areas to urban areas, which has created huge pressure over the lifestyle and particularly the transportation system of urban areas. The economic development of any city is dependent on its business friendly environment. Researchers have applied several advanced technologies to implement the smart transportation system within and out a city to roll out urban lifestyle in full gear. In this paper authors have studied those existing research works to find scope for further contribution in the area of smart transportation system in a more integrated manner.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132283600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452928
Xiangde Ji
The rapid development of computer vision promotes the development of face recognition technology from simple application scenarios to complex application scenarios. Nevertheless, the existing face recognition system has a high recognition success rate under certain constraints, but the actual results obtained will be influenced by the external environment. Therefore, the image captured by the camera is fuzzy and low resolution, which leads to the decline of recognition accuracy. Meanwhile, the emergence of digital multimedia technology has brought a lot of convenience to people's lives, and increased the way of cultural exchange. Multimedia technology has been applied in every field of society, which makes the dissemination of information culture has been greatly improved. Under this background, the thinking mode of contemporary college students presents new characteristics, and the value demand presents new orientation. Therefore, the education mode in colleges and universities needs the correct spirit guiding mode and more intuitive behavior demonstration. In this paper, face verification and multimedia technology are applied in the ideological and political education system to provide better suggestions.
{"title":"Online Interactive Ideological Education with Multimedia and Face Verifications","authors":"Xiangde Ji","doi":"10.1109/ICOEI51242.2021.9452928","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452928","url":null,"abstract":"The rapid development of computer vision promotes the development of face recognition technology from simple application scenarios to complex application scenarios. Nevertheless, the existing face recognition system has a high recognition success rate under certain constraints, but the actual results obtained will be influenced by the external environment. Therefore, the image captured by the camera is fuzzy and low resolution, which leads to the decline of recognition accuracy. Meanwhile, the emergence of digital multimedia technology has brought a lot of convenience to people's lives, and increased the way of cultural exchange. Multimedia technology has been applied in every field of society, which makes the dissemination of information culture has been greatly improved. Under this background, the thinking mode of contemporary college students presents new characteristics, and the value demand presents new orientation. Therefore, the education mode in colleges and universities needs the correct spirit guiding mode and more intuitive behavior demonstration. In this paper, face verification and multimedia technology are applied in the ideological and political education system to provide better suggestions.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132230629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452890
I. Haritha, S. Shareef, Y. Prasanna, JeethuPhilip
Advancements in the zones of reproduction intellect, AI, and clinical imaging innovations has permitted the improvement of the clinical picture handling field by approximately bewildering outcomes over most recent twenty years. Clinicians were able to see the human body in a new light as a result of these advancements or 3-D cross- sectioned cuts, that brought about an expansion in the precision by analysis and the assessment of affected role in a non-obtrusive way. The basic advance for attractive resonance imaging (MRI) mind checks categorizers by capacity to extricate significant highlights. Therefore, numerous works have projected various strategies for highlights extraction to characterize the strange developments in the cerebrum MRI filters. All the more as of late, the use of profound learning calculations to clinical imaging prompts noteworthy execution upgrades in ordering and diagnosing convoluted pathologies, for example, mind tumors. Here a profound learning highlight withdrawal calculation is projected to remove the significant highlights from MRI mind filters. In equal, high quality highlights are removed utilizing the adapted gray level existence matrix (MGLCM) strategy. Hence, the extricated applicable highlights are joined with carefully assembled highlights to progress the grouping cycle of MRI cerebrum examines by support vector machine (SVM) utilized by categorizer. The acquired outcomes demonstrated as mix of the profound learning method and the carefully assembled highlights separated by MGLCM recover the precision of grouping of the SVM categorizer up to 99.30%. The components of your paper [title, text, heads, etc.] are already specified in the style sheet of an electronic document, which is a “live” prototype.
{"title":"Classification of Handcrafted Image Features for Integrated Deep Learning","authors":"I. Haritha, S. Shareef, Y. Prasanna, JeethuPhilip","doi":"10.1109/ICOEI51242.2021.9452890","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452890","url":null,"abstract":"Advancements in the zones of reproduction intellect, AI, and clinical imaging innovations has permitted the improvement of the clinical picture handling field by approximately bewildering outcomes over most recent twenty years. Clinicians were able to see the human body in a new light as a result of these advancements or 3-D cross- sectioned cuts, that brought about an expansion in the precision by analysis and the assessment of affected role in a non-obtrusive way. The basic advance for attractive resonance imaging (MRI) mind checks categorizers by capacity to extricate significant highlights. Therefore, numerous works have projected various strategies for highlights extraction to characterize the strange developments in the cerebrum MRI filters. All the more as of late, the use of profound learning calculations to clinical imaging prompts noteworthy execution upgrades in ordering and diagnosing convoluted pathologies, for example, mind tumors. Here a profound learning highlight withdrawal calculation is projected to remove the significant highlights from MRI mind filters. In equal, high quality highlights are removed utilizing the adapted gray level existence matrix (MGLCM) strategy. Hence, the extricated applicable highlights are joined with carefully assembled highlights to progress the grouping cycle of MRI cerebrum examines by support vector machine (SVM) utilized by categorizer. The acquired outcomes demonstrated as mix of the profound learning method and the carefully assembled highlights separated by MGLCM recover the precision of grouping of the SVM categorizer up to 99.30%. The components of your paper [title, text, heads, etc.] are already specified in the style sheet of an electronic document, which is a “live” prototype.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117260030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452899
Cuihua Li
Construction of the collection retrieval system of intelligent library based on cloud computing is conducted in this paper. Constructing the intensive database resource distribution structure model and analyzing the statistical data of intensive database resources, combined with the fuzzy comprehensive clustering method to carry out the information clustering processing of intensive database resources, is the core framework for dealing with the data analysis problems proposed in this article. In the wildcard-based ciphertext search solution, the server needs to send the matched file to the user completely. If the user cannot get the desired file after decryption, it needs to be sent again. To overcome this challenge, we use the retrieval model to construct the efficient cloud model. The collection ways are simulated through the experimental simulations.
{"title":"Construction of the Collection Retrieval System of Intelligent Library Based on Cloud Computing","authors":"Cuihua Li","doi":"10.1109/ICOEI51242.2021.9452899","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452899","url":null,"abstract":"Construction of the collection retrieval system of intelligent library based on cloud computing is conducted in this paper. Constructing the intensive database resource distribution structure model and analyzing the statistical data of intensive database resources, combined with the fuzzy comprehensive clustering method to carry out the information clustering processing of intensive database resources, is the core framework for dealing with the data analysis problems proposed in this article. In the wildcard-based ciphertext search solution, the server needs to send the matched file to the user completely. If the user cannot get the desired file after decryption, it needs to be sent again. To overcome this challenge, we use the retrieval model to construct the efficient cloud model. The collection ways are simulated through the experimental simulations.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121036480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9453078
Roop Chandrika Mallela, Reddy Lakshmi Bhavani, B. Ankayarkanni
Health is the most important in every human's life. Weekly or monthly check up of one's health is most important for the prevention and also to stay healthy. Healthcare is the most crucial parts of the human life. Nowadays, so many are not willing to go to hospital, due to work overload and negligence of their health. The doctors and nurses are putting up maximum efforts to save people's lives without even considering their own loves. There are also some villages which lack medical facilities. Nowadays, the individual is not having that much time to go for health check-up. Recently, due to covid-19, no one is willing to go to hospital for health checkup due to the fear of spreading virus. In this situation, technology plays and important role. The domain we used here is Machine Learning, it is the technique by which machines can learn from past experiences like a human being and make it efficient in future. ML is the domain which is widely used nowadays and it is the most efficient domain in health care. We will develop a GUI to get the symptoms from the user. The models used in this paper are Naive Bayes and Decision Tree. The output is the disease, the accuracy of model, its definition and the treatment of the particular disease based on the symptoms given by the individual. As we all know the saying which tells that “Prevention of the disease at an early stage is much better than the cure which we take after we get affected by the disease”. This paper shows detailed explanation of how to find the diseases from symptoms, so that the individual can contact the respective doctor and stay healthy at an early stage.
{"title":"Disease Prediction Using Machine Learning Techniques","authors":"Roop Chandrika Mallela, Reddy Lakshmi Bhavani, B. Ankayarkanni","doi":"10.1109/ICOEI51242.2021.9453078","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9453078","url":null,"abstract":"Health is the most important in every human's life. Weekly or monthly check up of one's health is most important for the prevention and also to stay healthy. Healthcare is the most crucial parts of the human life. Nowadays, so many are not willing to go to hospital, due to work overload and negligence of their health. The doctors and nurses are putting up maximum efforts to save people's lives without even considering their own loves. There are also some villages which lack medical facilities. Nowadays, the individual is not having that much time to go for health check-up. Recently, due to covid-19, no one is willing to go to hospital for health checkup due to the fear of spreading virus. In this situation, technology plays and important role. The domain we used here is Machine Learning, it is the technique by which machines can learn from past experiences like a human being and make it efficient in future. ML is the domain which is widely used nowadays and it is the most efficient domain in health care. We will develop a GUI to get the symptoms from the user. The models used in this paper are Naive Bayes and Decision Tree. The output is the disease, the accuracy of model, its definition and the treatment of the particular disease based on the symptoms given by the individual. As we all know the saying which tells that “Prevention of the disease at an early stage is much better than the cure which we take after we get affected by the disease”. This paper shows detailed explanation of how to find the diseases from symptoms, so that the individual can contact the respective doctor and stay healthy at an early stage.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116863609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452991
A. Srujan, R. Srija, Suraj Sara, S. Sahithi, V. Krishna, A. M. Baradwaj
This paper deals with the detection of cancer from gastrointestinal images. Cancer detection is the most adequate field of implementation in bio-medical domains. At first, the several capabilities have been recognized to automate the process of identification of cancer and also upscale the accuracy rates over alternative diagnostic techniques. The methods that presently exist to diagnose cancer are not working constructively on all kinds of images, especially poor-quality images such as images with too much noise. And also, most of the available techniques have completely ignored the effective use of object segmentation in gastrointestinal images. So, to subdue the limitations of previous techniques, a new approach has been proposed in this paper. Impressive results have been generated by using the features of image processing in MATLAB with the help of images from kvasir dataset. The image processing techniques used for diagnostic test pictures might facilitate the sight of distinctive options in cancer detection.
{"title":"Detecting Cancer in Gastrointestinal Images using MATLAB","authors":"A. Srujan, R. Srija, Suraj Sara, S. Sahithi, V. Krishna, A. M. Baradwaj","doi":"10.1109/ICOEI51242.2021.9452991","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452991","url":null,"abstract":"This paper deals with the detection of cancer from gastrointestinal images. Cancer detection is the most adequate field of implementation in bio-medical domains. At first, the several capabilities have been recognized to automate the process of identification of cancer and also upscale the accuracy rates over alternative diagnostic techniques. The methods that presently exist to diagnose cancer are not working constructively on all kinds of images, especially poor-quality images such as images with too much noise. And also, most of the available techniques have completely ignored the effective use of object segmentation in gastrointestinal images. So, to subdue the limitations of previous techniques, a new approach has been proposed in this paper. Impressive results have been generated by using the features of image processing in MATLAB with the help of images from kvasir dataset. The image processing techniques used for diagnostic test pictures might facilitate the sight of distinctive options in cancer detection.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116020284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452923
Ankita Deohate, D. Rojatkar
Internet of things is a network that provides ability to control devices and, manage and remotely monitor them. It basically is a platform which creates new serviceable information from enormous streams of real time data. The sensors like RFID, IR, GPS and laser scanners etc. are installed by IoT for everything that we use in our daily life and making connection of them with the internet using certain protocols for interchanging information and communication for obtaining various applications like intelligent recognition, tracking, location, management and monitoring. In internet to things the decisions are being made without any human interaction. With the technical support from IoT, smart agriculture, smart home, smart university and smart city projects have gain momentum. The intelligence of this network of everyday things created by IoT is governs by the software, called middleware. The middleware is one of the enabling technologies of integrating and collecting data from devices interconnected through internet and make decisions based on it by allowing them to communicate among themselves. Middleware is emerges as the software layer between application and communication layer; it creates abstraction such as hiding hardware details. In this paper, we surveyed the main challenges faced by the middleware that needs to be addressed and survey of IoT application protocols and the survey of most popular middleware for internet of things.
物联网是一个网络，它提供了控制设备、管理和远程监控设备的能力。它基本上是一个从海量实时数据流中创建新的可用信息的平台。诸如RFID, IR, GPS和激光扫描仪等传感器由物联网安装，用于我们日常生活中使用的所有东西，并使用某些协议将它们与互联网连接，以交换信息和通信，以获得各种应用，如智能识别，跟踪，定位，管理和监控。在物联网中，决策是在没有任何人类互动的情况下做出的。在物联网的技术支撑下，智慧农业、智慧家居、智慧大学、智慧城市等项目方兴未拟。物联网创建的日常事物网络的智能是由称为中间件的软件控制的。中间件是一种使能技术，用于集成和收集通过internet互联的设备的数据，并允许它们之间进行通信，从而基于这些数据做出决策。中间件作为介于应用层和通信层之间的软件层出现;它创建了抽象，比如隐藏硬件细节。在本文中，我们调查了中间件所面临的需要解决的主要挑战，调查了物联网应用协议和最流行的物联网中间件。
{"title":"Middleware Challenges and Platform for IoT-A Survey","authors":"Ankita Deohate, D. Rojatkar","doi":"10.1109/ICOEI51242.2021.9452923","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452923","url":null,"abstract":"Internet of things is a network that provides ability to control devices and, manage and remotely monitor them. It basically is a platform which creates new serviceable information from enormous streams of real time data. The sensors like RFID, IR, GPS and laser scanners etc. are installed by IoT for everything that we use in our daily life and making connection of them with the internet using certain protocols for interchanging information and communication for obtaining various applications like intelligent recognition, tracking, location, management and monitoring. In internet to things the decisions are being made without any human interaction. With the technical support from IoT, smart agriculture, smart home, smart university and smart city projects have gain momentum. The intelligence of this network of everyday things created by IoT is governs by the software, called middleware. The middleware is one of the enabling technologies of integrating and collecting data from devices interconnected through internet and make decisions based on it by allowing them to communicate among themselves. Middleware is emerges as the software layer between application and communication layer; it creates abstraction such as hiding hardware details. In this paper, we surveyed the main challenges faced by the middleware that needs to be addressed and survey of IoT application protocols and the survey of most popular middleware for internet of things.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115322540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452987
P. Annapandi, S. Sherlin, J. J. Gnanachandran, A. Ravi, V. Arumugam, A. A. Maneula
The complications related with power quality like swell and sags are presented in this paper. A compensation method of D-STATCOM, which is an electronic device of conventional power is discussed. Moreover, the development and usage of D-STATCOM for swells, voltage sags and the complete outputs are also discussed. The results of simulation proved that the insertion of DSTATCOM reduces the sags in voltage which were caused because of the faults & swell on account of instant load switching in the distribution system. By using Sinusoidal Pulse Width Modulation (SPWM), Voltage Source Convert (VSC) was developed. The control method was found highly robust under the examination of large range of operating conditions in all cases. In D-STATCOM, advanced graphic equipment of MATLAB/SIMULINK is utilized for modelling and simulation. The DC link voltage is controlled through Grey Wolf Optimization algorithm.
{"title":"GWO Optimized DC Link Voltage Control for DSTATCOM Power Module in Power Quality Issues Mitigation","authors":"P. Annapandi, S. Sherlin, J. J. Gnanachandran, A. Ravi, V. Arumugam, A. A. Maneula","doi":"10.1109/ICOEI51242.2021.9452987","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452987","url":null,"abstract":"The complications related with power quality like swell and sags are presented in this paper. A compensation method of D-STATCOM, which is an electronic device of conventional power is discussed. Moreover, the development and usage of D-STATCOM for swells, voltage sags and the complete outputs are also discussed. The results of simulation proved that the insertion of DSTATCOM reduces the sags in voltage which were caused because of the faults & swell on account of instant load switching in the distribution system. By using Sinusoidal Pulse Width Modulation (SPWM), Voltage Source Convert (VSC) was developed. The control method was found highly robust under the examination of large range of operating conditions in all cases. In D-STATCOM, advanced graphic equipment of MATLAB/SIMULINK is utilized for modelling and simulation. The DC link voltage is controlled through Grey Wolf Optimization algorithm.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114629771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452942
M. Raveendra, U. Saravanakumar, G. Kumar, P. Suresh, Saam Prasanth Dheeraj Pedapalli
In this work, a multiple triangular-slot Substrate Integrated Waveguide (SIW) antenna has been proposed for 5th generation mobile communication applications with broadband characteristics. The proposed siw antenna has been realized with three different structures to satisfy the millimeter-wavelength for 5G mobile communication applications on the frequency spectrum. Copper vias have been integrated between ground and patch surfaces, later to introduce triangular slots on the patch element to obtain broadband characteristics with low return loss performance. The Rogers RO4232 (tm) substrate material is used with dielectric relative permittivity 3.2, loss tangent 0.0018 and the thickness of the dielectric medium is 1.6 mm. This design has been simulated on HFSS software. The performance of the antenna is analyzed with the help of the characteristics of return loss, VSWR, bandwidth and its radiation patterns properties. The designed SIW antenna offers a resonating frequency band from 21.80 GHz to 37.34 GHz.
{"title":"A Broadband Millimeter-Wave SIW Antenna for 5G Mobile Communication","authors":"M. Raveendra, U. Saravanakumar, G. Kumar, P. Suresh, Saam Prasanth Dheeraj Pedapalli","doi":"10.1109/ICOEI51242.2021.9452942","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452942","url":null,"abstract":"In this work, a multiple triangular-slot Substrate Integrated Waveguide (SIW) antenna has been proposed for 5th generation mobile communication applications with broadband characteristics. The proposed siw antenna has been realized with three different structures to satisfy the millimeter-wavelength for 5G mobile communication applications on the frequency spectrum. Copper vias have been integrated between ground and patch surfaces, later to introduce triangular slots on the patch element to obtain broadband characteristics with low return loss performance. The Rogers RO4232 (tm) substrate material is used with dielectric relative permittivity 3.2, loss tangent 0.0018 and the thickness of the dielectric medium is 1.6 mm. This design has been simulated on HFSS software. The performance of the antenna is analyzed with the help of the characteristics of return loss, VSWR, bandwidth and its radiation patterns properties. The designed SIW antenna offers a resonating frequency band from 21.80 GHz to 37.34 GHz.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121920691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9453074
Thokala Harikrishna, Sanchita, Shivam Kumar, A. Jain
Due to scaling short channel effects are observed in devices under ultra deep submicron technology. The short channel effects causes leakage current to flow through the transistor which increases static power dissipation of the circuits. In this work two popular leakage reduction techniques namely drain gating technique and lector technique are combined to reduce the leakage power reduction of CMOS VLSI circuits. Different logic circuits are simulated using this novel combined technique for different input vectors. The performance of inverter and NOR gate are analyzed in terms of dc power dissipation and propagation delay and are compared with the existing popular leakage reduction techniques. Due to combined effect of drain gating and lector techniques, substantial reduction in leakage power is observed. The proposed technique reduces the leakage power consumption of Drain gating NOR gate by 44% and Lector NOR gate by 22% for 45nm technology.
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