2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)最新文献_第9页

PUC Optimal Switching Strategies for Renewable Applications in Single Phase Inverter 可再生电源在单相逆变器中的PUC最优开关策略

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986405

S. D, P. K, Sivamani D, N. A, N. S, R. R

{"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}

引用次数: 0

Tree Based Models: A Comparative And Explainable Study For Credit Default Classification 基于树的模型:信用违约分类的比较与解释研究

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986411

Narayana Darapaneni, Pramod Srinivas, K. Reddy, A. Paduri, Lakshmikanth Kanugovi, Pavithra J, S. B. G., B. S

引用次数: 1

Meme Detection For Sentiment Analysis and Human Robot Interactions Using Multiple Modes 情感分析和多模式人机交互的模因检测

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986453

{"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}

引用次数: 0

Modalities of Tariff Mechanisms for PV Generating Plants 光伏电站电价机制模式

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986480

Naveena Meka, P. Tripathy

引用次数: 0

Performance Analysis of Compound III-V Semiconductor Materials based MOSFET 基于化合物III-V半导体材料的MOSFET性能分析

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986476

A. Maurya, Md Akram Ahmad, Pankaj Kumar, J. Kumar, K. Koley

{"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}

引用次数: 0

Performace Improvement of TFET using Gate drain overlap structure with hetrojunction 利用栅极漏极与异质结的重叠结构改善TFET的性能

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986389

K. Kavi, Abhishek Devedi, R. Mishra

引用次数: 0

Design of RFID Reader Antenna for WLAN/WiMAX Application 无线局域网/WiMAX应用的RFID读写天线设计

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986420

Ashwani Kumar, R. Singh

{"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}

引用次数: 0

Self-Supervised Contrastive Learning for Covid-19 Classification from Computed Tomography Images 基于计算机断层扫描图像的Covid-19分类的自监督对比学习

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986406

K. Mohit, Rajeev Gupta, B. Kumar

{"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}

引用次数: 2

Implementation of Various Analog Filters in EM Wave Domain 各种模拟滤波器在电磁波域的实现

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986486

Aditya Aron, R. Singh

引用次数: 0

Examination of MPPT Algorithm on Three Step DC-DC Converter 三步DC-DC变换器中MPPT算法的检验

2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) Pub Date : 2022-12-02 DOI: 10.1109/UPCON56432.2022.9986394

P. R. Sarkar, A. Minai, M. Bhaskar, R. Pachauri, Sashikant

引用次数: 0