Pub Date : 2023-05-26DOI: 10.1109/INCET57972.2023.10170584
A. Mishra, Mukhtiar Singh
This paper presents the implementation of a three-phase grid-connected electric vehicle (EV) battery charging system comprised of two conversion stages, one AC-DC stage with a three-phase Active Front End (AFE) rectifier, and another DC-DC stage with a single-phase Dual Active Bridge (DAB) converter. The DAB is opted for the DC-DC stage because of its high voltage conversion ratio, power density, and galvanic isolation. The LCL filter at the input of the AC-DC stage is designed to suppress the input current harmonics. Decoupled DQ control of the active front-end rectifier is done to get desired DC Link voltage. Closed loop control of the Dual Active Bridge (DAB) with an LC output filter is implemented to improve battery voltage and reduce ripples. Zero Voltage Switching (ZVS) is achieved in all the switches for different load values, which helps the converter have low switching loss and ensures higher efficiency. The system is designed for a 10-kW power rating, and to check the robustness of the converter and controller, the system is simulated under varying load conditions using MATLAB/Simulink.
本文介绍了一个三相并网电动汽车(EV)电池充电系统的实现，该系统由两个转换级组成，一个是带有三相有源前端(AFE)整流器的AC-DC级，另一个是带有单相双有源桥(DAB)转换器的DC-DC级。DAB被选择用于DC-DC级，因为它具有高电压转换率，功率密度和电流隔离。在交直流级的输入处设计LCL滤波器来抑制输入电流谐波。对有源前端整流器进行解耦DQ控制，得到理想的直流链路电压。采用LC输出滤波器实现双有源桥(DAB)的闭环控制，以提高电池电压并减少波纹。在不同负载值下，所有开关都实现了零电压开关(Zero Voltage Switching, ZVS)，使变换器具有较低的开关损耗，保证了更高的效率。系统的额定功率为10kw，为了验证变换器和控制器的鲁棒性，利用MATLAB/Simulink对系统在不同负载条件下进行了仿真。
{"title":"A 10-kW Active Front End Rectifier Fed Dual Active Bridge Converter For EV Charging","authors":"A. Mishra, Mukhtiar Singh","doi":"10.1109/INCET57972.2023.10170584","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170584","url":null,"abstract":"This paper presents the implementation of a three-phase grid-connected electric vehicle (EV) battery charging system comprised of two conversion stages, one AC-DC stage with a three-phase Active Front End (AFE) rectifier, and another DC-DC stage with a single-phase Dual Active Bridge (DAB) converter. The DAB is opted for the DC-DC stage because of its high voltage conversion ratio, power density, and galvanic isolation. The LCL filter at the input of the AC-DC stage is designed to suppress the input current harmonics. Decoupled DQ control of the active front-end rectifier is done to get desired DC Link voltage. Closed loop control of the Dual Active Bridge (DAB) with an LC output filter is implemented to improve battery voltage and reduce ripples. Zero Voltage Switching (ZVS) is achieved in all the switches for different load values, which helps the converter have low switching loss and ensures higher efficiency. The system is designed for a 10-kW power rating, and to check the robustness of the converter and controller, the system is simulated under varying load conditions using MATLAB/Simulink.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116254690","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 : 2023-05-26DOI: 10.1109/INCET57972.2023.10170129
B. D., S. Chaudhari
The introduction of the fifth generation (5G) of mobile networks (5G) has showed how crucial enhanced scheduling approaches are managing the scarce frequency spectrum whereas meeting 5G transmission needs. Openairinterface (OAI) simulation environment helps the researcher to analyses various components of 4G/5G Networks. In this paper, performance of 5G mobile network is analyzed by comparing the results with 5G scheduler algorithms available in OAI in terms of throughput. offered by openairinterface to check the performance. Simulated OAI environment consists of UE and gNodeB (gNB). The pcap file is generated and analyzed using Wireshark. The results show how schedulers allocated resources to UE from gNodeB (gNB) and throughput is the performance metric used to analyze. Resource allocation using Round Robin at UE gives uniform throughput compare to first in first out based resource allocation.
{"title":"Performance Evaluation of Openairinterface's Scheduling Algorithms for 5G Networks","authors":"B. D., S. Chaudhari","doi":"10.1109/INCET57972.2023.10170129","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170129","url":null,"abstract":"The introduction of the fifth generation (5G) of mobile networks (5G) has showed how crucial enhanced scheduling approaches are managing the scarce frequency spectrum whereas meeting 5G transmission needs. Openairinterface (OAI) simulation environment helps the researcher to analyses various components of 4G/5G Networks. In this paper, performance of 5G mobile network is analyzed by comparing the results with 5G scheduler algorithms available in OAI in terms of throughput. offered by openairinterface to check the performance. Simulated OAI environment consists of UE and gNodeB (gNB). The pcap file is generated and analyzed using Wireshark. The results show how schedulers allocated resources to UE from gNodeB (gNB) and throughput is the performance metric used to analyze. Resource allocation using Round Robin at UE gives uniform throughput compare to first in first out based resource allocation.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124501728","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}
According to our research and the studies, there are around 4.95 million people who are blind and at the same time70 million people who are partially visually impaired in India. Without vision, it becomes difficult for the blind people to find their way without encountering obstacles. Avoiding obstacles can be uncomfortable, clumsy, and inaccurate, even with aids such as walking sticks. People with vision or vision problems have to deal with multiple issues in their daily lives, as modern assistive devices often do not meet consumer needs in terms of price and level of support. Our project presents a new design of assistive glasses for the visually impaired person. It is intended to assist in multiple daily tasks utilizing a portable design format. The overall build cost is kept low by using a Raspberry Pi 4 single board computer for processing and a camera for image acquisition. Our proposed glasses use Machine Learning (ML) to extract information from images and verbally communicate what the wearer is seeing through the audio output. As a result, ML-enabled glasses enable blind and partially sighted users to find personal items at home, read documents at workplace, take public transportation without any overhead, recognize friends, and many more such applications, can make them more independent, freer, and more aware of their surroundings. We made use of YOLOv3 algorithm for object detection and got the accuracy of 94.3% and which was able to detect majority of the objects in the surroundings of the user.
根据我们的调查和研究，印度大约有495万人是盲人，同时有7000万人有部分视力障碍。如果没有视力，盲人很难在不遇到障碍的情况下找到路。避开障碍物可能会不舒服、笨拙和不准确，即使有拐杖之类的辅助工具。有视力或视力问题的人士在日常生活中需要处理多种问题，因为现代辅助器具在价格和支援程度上往往不能满足消费者的需要。我们的项目是为视障人士设计一种新的辅助眼镜。它的目的是协助多种日常任务利用便携式设计格式。通过使用Raspberry Pi 4单板计算机进行处理和使用相机进行图像采集，总体构建成本保持在较低水平。我们提出的眼镜使用机器学习(ML)从图像中提取信息，并通过音频输出口头传达佩戴者所看到的内容。因此，支持机器学习的眼镜使盲人和部分视力的用户能够在家里找到个人物品，在工作场所阅读文件，在没有任何开销的情况下乘坐公共交通工具，识别朋友，以及更多这样的应用，可以使他们更独立，更自由，更了解他们的周围环境。我们使用YOLOv3算法进行目标检测，准确率达到94.3%，能够检测到用户周围的大部分物体。
{"title":"An Effective Smart Goggle to Address the Problem Faced by the Visually Impaired People","authors":"Akshay Vijay Munot, Eshaa Niteen Mohod, Sahil Raviraj Hemnani, Kaustubh Narkhede, Babita Sonare","doi":"10.1109/INCET57972.2023.10169909","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10169909","url":null,"abstract":"According to our research and the studies, there are around 4.95 million people who are blind and at the same time70 million people who are partially visually impaired in India. Without vision, it becomes difficult for the blind people to find their way without encountering obstacles. Avoiding obstacles can be uncomfortable, clumsy, and inaccurate, even with aids such as walking sticks. People with vision or vision problems have to deal with multiple issues in their daily lives, as modern assistive devices often do not meet consumer needs in terms of price and level of support. Our project presents a new design of assistive glasses for the visually impaired person. It is intended to assist in multiple daily tasks utilizing a portable design format. The overall build cost is kept low by using a Raspberry Pi 4 single board computer for processing and a camera for image acquisition. Our proposed glasses use Machine Learning (ML) to extract information from images and verbally communicate what the wearer is seeing through the audio output. As a result, ML-enabled glasses enable blind and partially sighted users to find personal items at home, read documents at workplace, take public transportation without any overhead, recognize friends, and many more such applications, can make them more independent, freer, and more aware of their surroundings. We made use of YOLOv3 algorithm for object detection and got the accuracy of 94.3% and which was able to detect majority of the objects in the surroundings of the user.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124031060","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 : 2023-05-26DOI: 10.1109/INCET57972.2023.10170085
S. Deshmukh, V. Biradar, S. P. Gawande
DC and AC electricity charge EVs at the charging station. DC charges quickly, but AC charges slowly. The microgrid has few AC loads but lots of DC quick charging. High harmonic current from several AC and DC conversions will increase power usage and decrease microgrid solidity and richness. Hence, the traditional hybrid AC/DC microgrid that mainly relies on an AC microgrid fails in such conditions. Charging stations powered by a hybrid microgrid may help regulate power flow and reduce transmission losses in today's power grid. Nevertheless, when battery electric vehicles (BEVs) are charged without coordination with the hybrid microgrid, the associated renewable energy sources are not used to their full potential. In addition, a multiport charging facility is part of the growth of new charging stations that is expected to strain the power grid. Our unique hybrid microgrid system for electric car charging stations is proposed as a solution to these problems. To better accommodate electric vehicles (EVs) on the grid, this research proposes and evaluates a novel form of photovoltaics (PV) hybrid DC/AC microgrid for EV charging stations. Components of the proposed model include renewable energy sources, a diesel generator, a PV model, storage devices, linear loads, and non-linear loads (RESs). The effectiveness of the suggested model for electrical car charging stations is shown by the simulation results.
{"title":"Design and Analysis of Hybrid Microgrid System for Vehicle Electrical Charging Stations","authors":"S. Deshmukh, V. Biradar, S. P. Gawande","doi":"10.1109/INCET57972.2023.10170085","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170085","url":null,"abstract":"DC and AC electricity charge EVs at the charging station. DC charges quickly, but AC charges slowly. The microgrid has few AC loads but lots of DC quick charging. High harmonic current from several AC and DC conversions will increase power usage and decrease microgrid solidity and richness. Hence, the traditional hybrid AC/DC microgrid that mainly relies on an AC microgrid fails in such conditions. Charging stations powered by a hybrid microgrid may help regulate power flow and reduce transmission losses in today's power grid. Nevertheless, when battery electric vehicles (BEVs) are charged without coordination with the hybrid microgrid, the associated renewable energy sources are not used to their full potential. In addition, a multiport charging facility is part of the growth of new charging stations that is expected to strain the power grid. Our unique hybrid microgrid system for electric car charging stations is proposed as a solution to these problems. To better accommodate electric vehicles (EVs) on the grid, this research proposes and evaluates a novel form of photovoltaics (PV) hybrid DC/AC microgrid for EV charging stations. Components of the proposed model include renewable energy sources, a diesel generator, a PV model, storage devices, linear loads, and non-linear loads (RESs). The effectiveness of the suggested model for electrical car charging stations is shown by the simulation results.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127778958","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 : 2023-05-26DOI: 10.1109/INCET57972.2023.10170059
K. D. Kumar, N. M. Reddy, J. Priyanka, K. Murugaperumal
Our projects deal with the step-down chopper (or) buck converter and its operation. Because of using transformer circuit, we can see less output and losses are going to produce while using the transformer circuit. When we use transformer, we are going to observe many losses because of that we are going to see the output less in the circuit, and to get efficient power at the output side we are using chopper. We give in the input side a fixed supply (Vs) and the output side we are going to see a variable dc output (Vout). The output which we are going to get increased dc voltage or decreased dc voltage because the type which we are using in the circuit. By using the step-up chopper, the output (Vout) will be more than the supply voltage (Vs), if we use step-down chopper the output voltage (Vout) will be less than the supply voltage (Vs), if we use a buck/boost chopper we can perform the both operations (step-up step-down) at a time. Because of using a chopper instead of transformer in the circuit we get more voltage than which we get in the transformer. In chopper circuit we may not observe losses. In this project we are going to modelling the equations for the new circuit according to the conditions which we are having for the chopper.
{"title":"Design and Analyzing of DC Transformer Efficiency Enhancement for Microgrid Applications","authors":"K. D. Kumar, N. M. Reddy, J. Priyanka, K. Murugaperumal","doi":"10.1109/INCET57972.2023.10170059","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170059","url":null,"abstract":"Our projects deal with the step-down chopper (or) buck converter and its operation. Because of using transformer circuit, we can see less output and losses are going to produce while using the transformer circuit. When we use transformer, we are going to observe many losses because of that we are going to see the output less in the circuit, and to get efficient power at the output side we are using chopper. We give in the input side a fixed supply (Vs) and the output side we are going to see a variable dc output (Vout). The output which we are going to get increased dc voltage or decreased dc voltage because the type which we are using in the circuit. By using the step-up chopper, the output (Vout) will be more than the supply voltage (Vs), if we use step-down chopper the output voltage (Vout) will be less than the supply voltage (Vs), if we use a buck/boost chopper we can perform the both operations (step-up step-down) at a time. Because of using a chopper instead of transformer in the circuit we get more voltage than which we get in the transformer. In chopper circuit we may not observe losses. In this project we are going to modelling the equations for the new circuit according to the conditions which we are having for the chopper.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115767539","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 : 2023-05-26DOI: 10.1109/INCET57972.2023.10170127
Shreyus Goutham Kumar, Suraj N, Tadi Surya Teja Reddy, Prashanth Cr, G. Honnavar
The main goal of the most recent photovoltaic studies is to develop a device that is extremely efficient and stable, either through experimental study or through modeling and simulation. The single junction solar cell’s performance is mainly limited by thermalization loss and transmission loss. Due to this, tandem solar cells (TSC) have had a significant impact on photonic studies to effectively use the entire sun spectrum and to reduce these losses. The quick growth of perovskite on silicon Tandem devices has been supported by improvements in perovskite material stability and advanced silicon fabrication processes. In this paper, we use SCAPS software to check out a TSC with the c-Si (bandgap: 1.12 eV) as the bottommost subcell and the lead–free organic–inorganic hybrid PSC i.e., MASnBr3 (bandgap: 1.3 eV) where MA= Methyl Ammonium (CH3NH3) as the topmost subcell. The standalone top cell gives an Efficiency (eta) of 32.98 (FF=88.19, Jsc= 33.89, Voc=1.10). The standalone bottom cell gives an Efficiency (eta) of 21.71 (FF=85.23, Jsc=18.84, Voc=0.73). A TSC with MASnBr3 on c-Si shows an Efficiency of 44.35 (FF=82.94, Jsc=15.25, Voc=1.91). These results showcase the feasibility of using non-toxic materials, such as MASnBr3 to attain higher PCE values.
{"title":"Numerical Study on novel MASnBr3 (Perovskite) based Tandem Photovoltaic Cell","authors":"Shreyus Goutham Kumar, Suraj N, Tadi Surya Teja Reddy, Prashanth Cr, G. Honnavar","doi":"10.1109/INCET57972.2023.10170127","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170127","url":null,"abstract":"The main goal of the most recent photovoltaic studies is to develop a device that is extremely efficient and stable, either through experimental study or through modeling and simulation. The single junction solar cell’s performance is mainly limited by thermalization loss and transmission loss. Due to this, tandem solar cells (TSC) have had a significant impact on photonic studies to effectively use the entire sun spectrum and to reduce these losses. The quick growth of perovskite on silicon Tandem devices has been supported by improvements in perovskite material stability and advanced silicon fabrication processes. In this paper, we use SCAPS software to check out a TSC with the c-Si (bandgap: 1.12 eV) as the bottommost subcell and the lead–free organic–inorganic hybrid PSC i.e., MASnBr3 (bandgap: 1.3 eV) where MA= Methyl Ammonium (CH3NH3) as the topmost subcell. The standalone top cell gives an Efficiency (eta) of 32.98 (FF=88.19, Jsc= 33.89, Voc=1.10). The standalone bottom cell gives an Efficiency (eta) of 21.71 (FF=85.23, Jsc=18.84, Voc=0.73). A TSC with MASnBr3 on c-Si shows an Efficiency of 44.35 (FF=82.94, Jsc=15.25, Voc=1.91). These results showcase the feasibility of using non-toxic materials, such as MASnBr3 to attain higher PCE values.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134580151","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 : 2023-05-26DOI: 10.1109/INCET57972.2023.10170056
Nan Wan
With the popularization of multimedia teaching and application update, the advantages of this information technology in teaching have become increasingly prominent, and continue to go beyond the simple application model to the independent research and development model. It is very obvious in higher education, and a new type of educational informatization development mode of "application development" is emerging. Practice has proved that the education model of "Internet plus Education" is leading China to the era of education informatization 2.0. To drive the modernization of education with informatization will be the only way to realize the high quality and balanced development of education. The application of computers and other modern tools will help promote the implementation and development of systematic education methods in basketball education, and promote the scientific implementation and management of basketball teaching. Based on this, this paper first analyzes the theoretical basis of online teaching system of basic basketball skills, then studies the design of web-based teaching system of basic basketball skills based on computer, and finally gives the design of online teaching resources of basic basketball skills based on computer technology. The system highlights the characteristics of practical teaching of technical subjects, abandons the performance of online teaching system for light viewing and reference, innovatively proposes the learning mode of timely evaluation, real-time learning and simulation comparison, and effectively improves the students' interest in learning basic basketball skills. Make great use of students' spare time after class to learn technical skills, and provide innovative basis for the reform of technical practice teaching.
{"title":"Research on the Design of Online Teaching System of Basketball Basic Skill Based on Computer","authors":"Nan Wan","doi":"10.1109/INCET57972.2023.10170056","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170056","url":null,"abstract":"With the popularization of multimedia teaching and application update, the advantages of this information technology in teaching have become increasingly prominent, and continue to go beyond the simple application model to the independent research and development model. It is very obvious in higher education, and a new type of educational informatization development mode of \"application development\" is emerging. Practice has proved that the education model of \"Internet plus Education\" is leading China to the era of education informatization 2.0. To drive the modernization of education with informatization will be the only way to realize the high quality and balanced development of education. The application of computers and other modern tools will help promote the implementation and development of systematic education methods in basketball education, and promote the scientific implementation and management of basketball teaching. Based on this, this paper first analyzes the theoretical basis of online teaching system of basic basketball skills, then studies the design of web-based teaching system of basic basketball skills based on computer, and finally gives the design of online teaching resources of basic basketball skills based on computer technology. The system highlights the characteristics of practical teaching of technical subjects, abandons the performance of online teaching system for light viewing and reference, innovatively proposes the learning mode of timely evaluation, real-time learning and simulation comparison, and effectively improves the students' interest in learning basic basketball skills. Make great use of students' spare time after class to learn technical skills, and provide innovative basis for the reform of technical practice teaching.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131839628","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 : 2023-05-26DOI: 10.1109/INCET57972.2023.10169984
V. D. Kumar, N. Reddy, S. Maheshwari, B. Srikanth, M. Narayana
This paper presents a current amplifier (CA)based square wave generator using the DTMOS technique for low power consumption, which are simulated using Cadence in 90nm and 180nm technology. The existing design had a power consumption of 11μW with a supply voltage of +0.75 V and -0.75 V. The proposed square wave generator which is designed using DTMOS had average power consumption around 9μW which gave 18% reduction in power consumption with a supply voltage of +0.75 V and -0.75 V in 90nm technology and about 26% power reduction in 180nm.
{"title":"Square Wave Generator with Current Amplifier using DTMOS Technique","authors":"V. D. Kumar, N. Reddy, S. Maheshwari, B. Srikanth, M. Narayana","doi":"10.1109/INCET57972.2023.10169984","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10169984","url":null,"abstract":"This paper presents a current amplifier (CA)based square wave generator using the DTMOS technique for low power consumption, which are simulated using Cadence in 90nm and 180nm technology. The existing design had a power consumption of 11μW with a supply voltage of +0.75 V and -0.75 V. The proposed square wave generator which is designed using DTMOS had average power consumption around 9μW which gave 18% reduction in power consumption with a supply voltage of +0.75 V and -0.75 V in 90nm technology and about 26% power reduction in 180nm.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129384759","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 : 2023-05-26DOI: 10.1109/INCET57972.2023.10170067
Sanchita Pange, V. Pawar
In covid -19 situation, most people suffered from stress. Continuous stress can lead to severe psychological and even physical disorders. To detect the depression manually is time-consuming, tedious, and requires expertise. The present system is used for detecting and analyzing depression based on EEG and ECG signals. The system layout strategies and calculations include extraction and choice strategies for classification and for deteriorating techniques, as well as combination methodologies. The EEG and ECG feature are extracted and sent for the classification. From ECG signals the ST segment, P wave and QRS wave as features extracted. The most prominent features are analyzed from EEG signals are Hjorth activity (HA), standard deviation, entropy and band power alpha. The Long Short-Term Memory (LSTM) autoencoder and RNN deep learning model approach were used for depression analysis.
在2019冠状病毒病的情况下，大多数人都承受着压力。持续的压力会导致严重的心理甚至生理障碍。手动检测抑郁症耗时、繁琐，而且需要专业知识。本系统主要用于基于脑电图和心电信号的抑郁症检测和分析。系统布局策略和计算包括分类和退化技术的提取和选择策略，以及组合方法。提取脑电和心电特征并发送给分类器。从心电信号中提取ST段、P波和QRS波作为特征。分析了脑电信号最突出的特征是Hjorth activity (HA)、standard deviation、entropy和band power alpha。采用长短期记忆(LSTM)自编码器和RNN深度学习模型方法进行抑郁分析。
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Pub Date : 2023-05-26DOI: 10.1109/INCET57972.2023.10170633
Sneha Bhaskara, S. P, Srishti Seth, S. Mohanty, P. Kanwal
Abusive language and hate speech in tweets and comments on various social media platforms have become ubiquitous. This paper focuses on classifying an input text in English, Hindi and Hinglish (Hindi written in English) along with emojis and emoticons into three categories - Abusive, Hate Speech or Neither based on the confidence scores of each class. Abusive language on social media is textual content that contains disparaging words. Hate speech can be threatening and can hurt the sentiments of a person or a community. To gain better insights, results are captured with and without lemmatization and stemming. Accuracy is used as the metric to evaluate the classification models. Deep learning models BERT and RoBERTa are trained separately on plain English data (PE), Hinglish data along with emojis (HEmo) and the combined full dataset (CF). The same process is repeated for five non-deep learning models - Decision trees, k-Nearest Neighbours (kNN), Support Vector Machines (SVM), Random Forest and Naïve Bayes. The deep learning model RoBERTa results in the highest accuracy of 0.9938 on the PE dataset, 0.9896 on the EHEmo dataset and 0.9899 on the CF dataset. SVM model performed best among traditional classifiers with an accuracy of 0.7996 on the PE dataset, 0.7899 on the EHEmo dataset and 0.7913 on the CF dataset.
{"title":"Detection and Comparison of Abusive and Hate Speech in English and Hinglish with Emojis using Deep Learning and Non-Deep Learning Techniques","authors":"Sneha Bhaskara, S. P, Srishti Seth, S. Mohanty, P. Kanwal","doi":"10.1109/INCET57972.2023.10170633","DOIUrl":"https://doi.org/10.1109/INCET57972.2023.10170633","url":null,"abstract":"Abusive language and hate speech in tweets and comments on various social media platforms have become ubiquitous. This paper focuses on classifying an input text in English, Hindi and Hinglish (Hindi written in English) along with emojis and emoticons into three categories - Abusive, Hate Speech or Neither based on the confidence scores of each class. Abusive language on social media is textual content that contains disparaging words. Hate speech can be threatening and can hurt the sentiments of a person or a community. To gain better insights, results are captured with and without lemmatization and stemming. Accuracy is used as the metric to evaluate the classification models. Deep learning models BERT and RoBERTa are trained separately on plain English data (PE), Hinglish data along with emojis (HEmo) and the combined full dataset (CF). The same process is repeated for five non-deep learning models - Decision trees, k-Nearest Neighbours (kNN), Support Vector Machines (SVM), Random Forest and Naïve Bayes. The deep learning model RoBERTa results in the highest accuracy of 0.9938 on the PE dataset, 0.9896 on the EHEmo dataset and 0.9899 on the CF dataset. SVM model performed best among traditional classifiers with an accuracy of 0.7996 on the PE dataset, 0.7899 on the EHEmo dataset and 0.7913 on the CF dataset.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133063475","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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