Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986405
S. D, P. K, Sivamani D, N. A, N. S, R. R
Nowadays, a lot of different sectors and researchers employ multilevel inverters for high power medium voltage applications. Because of this, hybrid topologies with fewer components have become increasingly popular. In this paper, the authors present an architecture for Hybrid Packed U-Cells that combines fewer switches with or without voltage balancing (H-PUCs). Eight switches are necessary for the proposed H-PUC for it to be able to offer voltage output at levels 7 and 15. H-PUC makes use of a combination of high voltage low frequency (HVLF) and low voltage high frequency (LVHF), which helps to reduce the amount of power that is wasted while simultaneously improving efficiency. A simulation and validation of the topology for the 7-level asymmetry is carried out on a microcontroller with the model number C2000. To evaluate the functionality of the proposed inverter, a simulation is run in the MATLAB programming environment. The H-PUC inverter topology that has been presented is one that is capable of being implemented in applications involving the integration of renewable energy.
{"title":"PUC Optimal Switching Strategies for Renewable Applications in Single Phase Inverter","authors":"S. D, P. K, Sivamani D, N. A, N. S, R. R","doi":"10.1109/UPCON56432.2022.9986405","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986405","url":null,"abstract":"Nowadays, a lot of different sectors and researchers employ multilevel inverters for high power medium voltage applications. Because of this, hybrid topologies with fewer components have become increasingly popular. In this paper, the authors present an architecture for Hybrid Packed U-Cells that combines fewer switches with or without voltage balancing (H-PUCs). Eight switches are necessary for the proposed H-PUC for it to be able to offer voltage output at levels 7 and 15. H-PUC makes use of a combination of high voltage low frequency (HVLF) and low voltage high frequency (LVHF), which helps to reduce the amount of power that is wasted while simultaneously improving efficiency. A simulation and validation of the topology for the 7-level asymmetry is carried out on a microcontroller with the model number C2000. To evaluate the functionality of the proposed inverter, a simulation is run in the MATLAB programming environment. The H-PUC inverter topology that has been presented is one that is capable of being implemented in applications involving the integration of renewable energy.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"380 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124737323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986411
Narayana Darapaneni, Pramod Srinivas, K. Reddy, A. Paduri, Lakshmikanth Kanugovi, Pavithra J, S. B. G., B. S
Most of the real-world problems can be solved with the help of classification. Some problems that might feel to be regression can also be solved using classification by binning the values. But due to the presence of a large number of classification algorithms, it becomes difficult to choose one particular model. SVC, KNN, and Naive Bayes are some of the traditional models available which do the task quite efficiently, but when it comes to the explainability of the outcome these models fail to address them. This is when the real use of tree-based models comes in handy as we can visualize the entire flow of conditions that leads to a particular outcome. In this paper, we have tried to compare the performance and explainability of the Decision tree, Random Forest, AdaBoost, GBoost, and XGBoost for this we have considered the credit default dataset from Kaggle.
{"title":"Tree Based Models: A Comparative And Explainable Study For Credit Default Classification","authors":"Narayana Darapaneni, Pramod Srinivas, K. Reddy, A. Paduri, Lakshmikanth Kanugovi, Pavithra J, S. B. G., B. S","doi":"10.1109/UPCON56432.2022.9986411","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986411","url":null,"abstract":"Most of the real-world problems can be solved with the help of classification. Some problems that might feel to be regression can also be solved using classification by binning the values. But due to the presence of a large number of classification algorithms, it becomes difficult to choose one particular model. SVC, KNN, and Naive Bayes are some of the traditional models available which do the task quite efficiently, but when it comes to the explainability of the outcome these models fail to address them. This is when the real use of tree-based models comes in handy as we can visualize the entire flow of conditions that leads to a particular outcome. In this paper, we have tried to compare the performance and explainability of the Decision tree, Random Forest, AdaBoost, GBoost, and XGBoost for this we have considered the credit default dataset from Kaggle.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127248050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986453
Memes are a way of communicating concepts across social media. However, while most memes are intended to be funny, some can turn into offensive as well when text and images are combined together. Recently many successful studies related to sentiment analysis of both image and text have been performed. Such technology, when developed successfully, can be useful for effective Human-Robot-Interactions, specially with humanoid and collaborative robots. In this research, we intend to first develop such technology with available data set using given classes only, since getting labelled data in the robotics domain, specially in robot grasping domain is difficult. In subsequent research, we may extend the same technology for intelligent robot grasping. However, the majority of the research uses either text or images for the sentiment analysis. Since the content and image in memes are sometimes unrelated, detecting hateful memes is a more challenging problem, so the present work considers both as features and uses a multimodal approach for sentiment analysis which could also be useful for Human-Robot-Interactions. Being constrained however with the available data sets, in the present investigation, our focus is on developing multimodal and sequential approaches for classifying these memes into different required classes, more specifically, here two classes: offensive and non-offensive. The fusion approach has been used within multiple modes to take features of both image and text through different models and then it has been used for the classification. While in the sequential approach, the image captioning model which is trained on the MS COCO dataset, with Optical Character Recognition (OCR), is used and classified with the help of the FastText classifier. Both approaches are used on two datasets, one is the MultiOFF dataset, and the other is the Facebook Hateful Meme dataset. Results on both datasets are found to be promising for both approaches.
{"title":"Meme Detection For Sentiment Analysis and Human Robot Interactions Using Multiple Modes","authors":"","doi":"10.1109/UPCON56432.2022.9986453","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986453","url":null,"abstract":"Memes are a way of communicating concepts across social media. However, while most memes are intended to be funny, some can turn into offensive as well when text and images are combined together. Recently many successful studies related to sentiment analysis of both image and text have been performed. Such technology, when developed successfully, can be useful for effective Human-Robot-Interactions, specially with humanoid and collaborative robots. In this research, we intend to first develop such technology with available data set using given classes only, since getting labelled data in the robotics domain, specially in robot grasping domain is difficult. In subsequent research, we may extend the same technology for intelligent robot grasping. However, the majority of the research uses either text or images for the sentiment analysis. Since the content and image in memes are sometimes unrelated, detecting hateful memes is a more challenging problem, so the present work considers both as features and uses a multimodal approach for sentiment analysis which could also be useful for Human-Robot-Interactions. Being constrained however with the available data sets, in the present investigation, our focus is on developing multimodal and sequential approaches for classifying these memes into different required classes, more specifically, here two classes: offensive and non-offensive. The fusion approach has been used within multiple modes to take features of both image and text through different models and then it has been used for the classification. While in the sequential approach, the image captioning model which is trained on the MS COCO dataset, with Optical Character Recognition (OCR), is used and classified with the help of the FastText classifier. Both approaches are used on two datasets, one is the MultiOFF dataset, and the other is the Facebook Hateful Meme dataset. Results on both datasets are found to be promising for both approaches.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124089888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986480
Naveena Meka, P. Tripathy
There has been a significant increase in the quantum of photovoltaic (PV) generation over recent years. This has enhanced PV penetration into the present grid. In the current trend of the competitive power market, PV has gained a major foothold. Participation of PV in the current scheme of Availability Based Tariff (ABT) poses certain inherent challenges. Similarly, Single Part Tariffs alone as promulgated by Central Electricity Regulatory Commission (CERC) and several State Electricity Regulatory Commissions (SERC's) may not much evolve to their full potential. The paper evaluates current tariff practices on 10 MW PV plant which is a scaled version of a PV plant located in India. It further evolves viable and effective tariff models to keep must-run plants going. Mechanisms such as the Deviation Settlement, Absolute Error Model and Generation Based Incentivisation have been intricately dwelled upon. The suggestive tariff models will not only benefit the PV generators but also motivate their levels of participation.
{"title":"Modalities of Tariff Mechanisms for PV Generating Plants","authors":"Naveena Meka, P. Tripathy","doi":"10.1109/UPCON56432.2022.9986480","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986480","url":null,"abstract":"There has been a significant increase in the quantum of photovoltaic (PV) generation over recent years. This has enhanced PV penetration into the present grid. In the current trend of the competitive power market, PV has gained a major foothold. Participation of PV in the current scheme of Availability Based Tariff (ABT) poses certain inherent challenges. Similarly, Single Part Tariffs alone as promulgated by Central Electricity Regulatory Commission (CERC) and several State Electricity Regulatory Commissions (SERC's) may not much evolve to their full potential. The paper evaluates current tariff practices on 10 MW PV plant which is a scaled version of a PV plant located in India. It further evolves viable and effective tariff models to keep must-run plants going. Mechanisms such as the Deviation Settlement, Absolute Error Model and Generation Based Incentivisation have been intricately dwelled upon. The suggestive tariff models will not only benefit the PV generators but also motivate their levels of participation.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126744103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986476
A. Maurya, Md Akram Ahmad, Pankaj Kumar, J. Kumar, K. Koley
Complementary metal-oxide semiconductor (CMOS) technology is the most frequent technology used in the semiconductor industries. Its integration in integrated circuits (ICs) shows effective response and motivates to enhance the performance of electronic gadgets. However, due to the slight low ON-current and high OFF -current of metal-oxide semiconductor field-effect transistor (MOSFET), research is going on for the replacement of MOSFET for getting better ON-current to OFF-current ratio. The research on III- V semiconductor materials based MOSFE Ts shows better result and it seems that using III-V semiconductor material enhances the performance. So, in this report we have analysed the M OSFE T characteristics with the combinational arrangements of III and V group semiconductor materials, so that we could know which III- V semiconductor materials are reliable. The drain current characteristics of III- V MOSFETs have been observed to establish the comparative analysis of ON-current, OFF-current, ON-current to OFF-current ratio, and DIBL effect. The observed results are compared with the characteristics of Silicon based MOSFET to benchmark the device performance.
{"title":"Performance Analysis of Compound III-V Semiconductor Materials based MOSFET","authors":"A. Maurya, Md Akram Ahmad, Pankaj Kumar, J. Kumar, K. Koley","doi":"10.1109/UPCON56432.2022.9986476","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986476","url":null,"abstract":"Complementary metal-oxide semiconductor (CMOS) technology is the most frequent technology used in the semiconductor industries. Its integration in integrated circuits (ICs) shows effective response and motivates to enhance the performance of electronic gadgets. However, due to the slight low ON-current and high OFF -current of metal-oxide semiconductor field-effect transistor (MOSFET), research is going on for the replacement of MOSFET for getting better ON-current to OFF-current ratio. The research on III- V semiconductor materials based MOSFE Ts shows better result and it seems that using III-V semiconductor material enhances the performance. So, in this report we have analysed the M OSFE T characteristics with the combinational arrangements of III and V group semiconductor materials, so that we could know which III- V semiconductor materials are reliable. The drain current characteristics of III- V MOSFETs have been observed to establish the comparative analysis of ON-current, OFF-current, ON-current to OFF-current ratio, and DIBL effect. The observed results are compared with the characteristics of Silicon based MOSFET to benchmark the device performance.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127976248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986389
K. Kavi, Abhishek Devedi, R. Mishra
This paper compares and analyzes the performance of DMDG-TFET and DMDG-GDOV TFET with Si source and with heterojunction formed by Ge Source. It reports the influence of using gate drain overlap with heterojunction formed by Ge source on the performance parameters such as drain current(ID), subthreshold swing(SS), current switching ratio(ION/IOFF), am- bipolar current, capacitance, transconductance and intrinsic delay of the TFET device. The gate-drain overlap helps in improving the ambipolar behavior of the device as the electric field in the ambipolar region is reduced. Further the influence of Silicon-Germanium heterojunction reduces the tunneling barrier width which results in the improved-ON current of the proposed device. This also improves the transconductance and switching speed of the TFET device.
{"title":"Performace Improvement of TFET using Gate drain overlap structure with hetrojunction","authors":"K. Kavi, Abhishek Devedi, R. Mishra","doi":"10.1109/UPCON56432.2022.9986389","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986389","url":null,"abstract":"This paper compares and analyzes the performance of DMDG-TFET and DMDG-GDOV TFET with Si source and with heterojunction formed by Ge Source. It reports the influence of using gate drain overlap with heterojunction formed by Ge source on the performance parameters such as drain current(ID), subthreshold swing(SS), current switching ratio(ION/IOFF), am- bipolar current, capacitance, transconductance and intrinsic delay of the TFET device. The gate-drain overlap helps in improving the ambipolar behavior of the device as the electric field in the ambipolar region is reduced. Further the influence of Silicon-Germanium heterojunction reduces the tunneling barrier width which results in the improved-ON current of the proposed device. This also improves the transconductance and switching speed of the TFET device.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129526781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986420
Ashwani Kumar, R. Singh
In the era of the fast-growing communication world, wireless communication plays a vital role in transferring information between senders and the receivers. RFID (Radio Frequency Identification and Detection) communication is making ease to monitor, data capture, and identify different types of equipment and assets. There is a need to develop a reader antenna which uses hybrid technology and integrate with the indoor applications. In this paper, a new design of reader microstrip patch antenna is proposed using CST Microwave Studio simulation software. A low weight, circularly polarized antenna is proposed using FR4 as a substrate with dielectric constant $varepsilon_{r}=4.2$ and loss tangent $tan delta=0.025$. Characteristics of microstrip patch antenna such as VSWR, gain, S11, and radiation pattern were analyzed at resonant frequency of 5.43GHz. The result was verified by the fabrication of the antenna, resonating at 5.5 GHz and found to be used for Indoor Localization of inventory management and supply chain administration. VSWR of the antenna is 1.05 and the gain of the antenna is 2.05 dBi. The overall size occupied by the antenna is $50times 50 times 1.6 text{mm}$.
在通信世界快速发展的时代，无线通信在发送方和接收方之间的信息传递中起着至关重要的作用。RFID(无线射频识别和检测)通信使监控、数据捕获和识别不同类型的设备和资产变得容易。有必要开发一种使用混合技术并与室内应用相结合的读取天线。本文利用CST Microwave Studio仿真软件，设计了一种新型的阅读器微带贴片天线。提出了一种低重量圆极化天线，采用FR4作为衬底，介电常数为$varepsilon_{r}=4.2$，损耗正切为$tan delta=0.025$。分析了微带贴片天线在5.43GHz谐振频率下的驻波比、增益、S11和辐射方向图等特性。通过天线的制作验证了这一结果，谐振频率为5.5 GHz，可用于库存管理和供应链管理的室内定位。天线的驻波比为1.05，增益为2.05 dBi。天线占用的整体尺寸为$50times 50 times 1.6 text{mm}$。
{"title":"Design of RFID Reader Antenna for WLAN/WiMAX Application","authors":"Ashwani Kumar, R. Singh","doi":"10.1109/UPCON56432.2022.9986420","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986420","url":null,"abstract":"In the era of the fast-growing communication world, wireless communication plays a vital role in transferring information between senders and the receivers. RFID (Radio Frequency Identification and Detection) communication is making ease to monitor, data capture, and identify different types of equipment and assets. There is a need to develop a reader antenna which uses hybrid technology and integrate with the indoor applications. In this paper, a new design of reader microstrip patch antenna is proposed using CST Microwave Studio simulation software. A low weight, circularly polarized antenna is proposed using FR4 as a substrate with dielectric constant $varepsilon_{r}=4.2$ and loss tangent $tan delta=0.025$. Characteristics of microstrip patch antenna such as VSWR, gain, S11, and radiation pattern were analyzed at resonant frequency of 5.43GHz. The result was verified by the fabrication of the antenna, resonating at 5.5 GHz and found to be used for Indoor Localization of inventory management and supply chain administration. VSWR of the antenna is 1.05 and the gain of the antenna is 2.05 dBi. The overall size occupied by the antenna is $50times 50 times 1.6 text{mm}$.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132138107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986406
K. Mohit, Rajeev Gupta, B. Kumar
Computer-aided diagnosis (CAD) emerges as an exhaustive diagnostic tool in the Covid-19 pandemic outbreak and is enormously investigated for automatic and more accurate detections. Artificial intelligence (AI) based radiographic images (Computed Tomography, X-Ray, Lung Ultrasound) interpretation improves the overall diagnosis efficiency of Covid-19 infections. In this paper, CAD based deep meta learning approach has been discussed for automatically quick analysis of chest computed tomography (CT) images regarding the early detection of corona virus (Covid-19) presence inside a subject. We incorporated a self-supervised contrastive-learning neural network for unbiased feature representation and classifications using fine-tuned pre-trained Inception module on 28203 chest CT images. This trainable multi-shot end-to-end deep learning architecture is validated on public dataset of normal and covid-19 CT images obtaining normalized accuracy of 0.9708. Results verify our model to be able enough to assist radiologists and specialists in screening and correct diagnosis of Covid-19 patients in less span of time.
{"title":"Self-Supervised Contrastive Learning for Covid-19 Classification from Computed Tomography Images","authors":"K. Mohit, Rajeev Gupta, B. Kumar","doi":"10.1109/UPCON56432.2022.9986406","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986406","url":null,"abstract":"Computer-aided diagnosis (CAD) emerges as an exhaustive diagnostic tool in the Covid-19 pandemic outbreak and is enormously investigated for automatic and more accurate detections. Artificial intelligence (AI) based radiographic images (Computed Tomography, X-Ray, Lung Ultrasound) interpretation improves the overall diagnosis efficiency of Covid-19 infections. In this paper, CAD based deep meta learning approach has been discussed for automatically quick analysis of chest computed tomography (CT) images regarding the early detection of corona virus (Covid-19) presence inside a subject. We incorporated a self-supervised contrastive-learning neural network for unbiased feature representation and classifications using fine-tuned pre-trained Inception module on 28203 chest CT images. This trainable multi-shot end-to-end deep learning architecture is validated on public dataset of normal and covid-19 CT images obtaining normalized accuracy of 0.9708. Results verify our model to be able enough to assist radiologists and specialists in screening and correct diagnosis of Covid-19 patients in less span of time.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130777002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986486
Aditya Aron, R. Singh
In this paper, the variation of gain against the frequency of high pass filter, band pass filter, band reject filter in electromagnetic radiation domain, and electromagnetic shielding domain is compared. Electromagnetic wave domain on MA TLAB has been created, in which electromagnetic radiation is transmitted in negative y-direction, its electric field component is oriented in the negative z-direction and the magnetic field component is oriented in the negative x-direction. Analog high pass filter, band pass filter, band reject filter characteristics have been implemented in electromagnetic radiation domain. Then the comparison of characteristics of analog high pass filter, band pass filter and band reject filter in electromagnetic domain and electromagnetic shielded domain has been done. And the results acquired after comparison are inspected. After providing a shield to the high pass filter, band pass filter and band reject filter circuit, the original characteristics of the filter have been recovered.
{"title":"Implementation of Various Analog Filters in EM Wave Domain","authors":"Aditya Aron, R. Singh","doi":"10.1109/UPCON56432.2022.9986486","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986486","url":null,"abstract":"In this paper, the variation of gain against the frequency of high pass filter, band pass filter, band reject filter in electromagnetic radiation domain, and electromagnetic shielding domain is compared. Electromagnetic wave domain on MA TLAB has been created, in which electromagnetic radiation is transmitted in negative y-direction, its electric field component is oriented in the negative z-direction and the magnetic field component is oriented in the negative x-direction. Analog high pass filter, band pass filter, band reject filter characteristics have been implemented in electromagnetic radiation domain. Then the comparison of characteristics of analog high pass filter, band pass filter and band reject filter in electromagnetic domain and electromagnetic shielded domain has been done. And the results acquired after comparison are inspected. After providing a shield to the high pass filter, band pass filter and band reject filter circuit, the original characteristics of the filter have been recovered.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124843104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986394
P. R. Sarkar, A. Minai, M. Bhaskar, R. Pachauri, Sashikant
As a non-conventional energy source, PV installations are being increasingly applied in many applications. Still, a severe challenge in using PV sources is to grab its nonlinear output characteristics, which change with temperature and solar insolation. Photovoltaic (PV) array appearance is suffering from a temperature, solar insolation and array configuration. The benefit of using a Solar Photovoltaic System (SPV) is low cost, easy maintenance, low greenhouse gas emission etc. Maximum point tracker participates a vital part in the SPV system for enhancing efficiency. Hill-climbing technique based MPPT controller enabled with three steps DC-DC converter is applied to extract power from solar PV module and transfer to load. The single diode PV model is studied and the simulation results of MPPT with PV fed three steps DC-DC converter is analyzed.
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