2022 IEEE Silchar Subsection Conference (SILCON)最新文献_第10页

Effect of PWTS and AHVDC link on Multi-Area AGC System Considering TIDD Controller 考虑TIDD控制器的PWTS和AHVDC链路对多区域AGC系统的影响

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028942

S. K. Bhagat, L. Saikia, G. M. Meseret, M. Behera, Satish Kumar Ramoji, N. Babu, B. Dekaraja

引用次数: 0

Transient Stability Assessment of DC Microgrid using Nonlinear Decoupling Approach 基于非线性解耦方法的直流微电网暂态稳定性评估

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028865

Kriti Thakur, A. Jain

{"title":"Transient Stability Assessment of DC Microgrid using Nonlinear Decoupling Approach","authors":"Kriti Thakur, A. Jain","doi":"10.1109/SILCON55242.2022.10028865","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028865","url":null,"abstract":"DC micro grid provides power locally with minimum transmission losses. However, due to presence of converters, dc micro grid suffers from the nonlinearities which led to instability of the system. It imposes challenge to integrate dc micro grid with the distribution network. Therefore, in this paper, the transient stability of the DC microgrid has been investigated considering linear load, nonlinear load, nonlinear load with DG and pole to ground fault. Due to the high-order and nonlinear nature of the dc microgrid system, the nonlinear decoupling method has been adopted for a more efficient analysis of the transient stability of dc microgrids. The nonlinear decoupling technique can resolve nonlinear difficulties, which is extremely appropriate for the transient stability assessment of dc microgrids. From the results, it is observed that in the case of nonlinear loads, the introduction of DG as an active power compensation in the system can considerably improve the overall active power in the system. Also, in case of fault, DG works as a backup and supplies power to the load. The simulation results also reflects that in some circumstances, adding and removing large loads and changes in voltage levels are not invertible. One of these changes in system dynamics could result in system instability.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132754264","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

Design of High Gain, Twin-band Antenna with CSRR for 5G Applications 5G高增益双频CSRR天线设计

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028822

Rakesh Kumar, A. De

引用次数: 0

Raw Waveform Based Speaker Identification Using Deep Neural Networks 基于原始波形的深度神经网络说话人识别

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028890

Banala Saritha, Mohammad Azharuddin Laskar, R. Laskar, Madhuchhanda Choudhury

{"title":"Raw Waveform Based Speaker Identification Using Deep Neural Networks","authors":"Banala Saritha, Mohammad Azharuddin Laskar, R. Laskar, Madhuchhanda Choudhury","doi":"10.1109/SILCON55242.2022.10028890","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028890","url":null,"abstract":"Deep learning is attracting tremendous prominence as an adequate replacement for i-vectors in the speaker identification task. Deep neural networks have attained much attention in the end-to-end (E2E) speaker identification domain. Earlier, DNN trained on handcrafted speech features like Mel-filter banks and Mel-frequency cepstral coefficients. Later, as the raw speech signal is lossless, processing raw waveforms have become an active research area in E2E speaker identification, automatic music tagging, and speech recognition fields. Convolutional neural networks (CNNs) have recently shown promising results when fed directly with raw speech samples. CNN analyzes waveforms to discover low-level speech representations rather than conventional handcrafted features, which may enable the system to handle speaker properties like pitch and formants more efficiently. An efficient design of neural networks is vital to achieving this. The CNN architecture proposed in this paper promotes the deep convolutional layers to develop more efficient filters for end-to-end speaker identification systems. The proposed architecture converges quickly and outperforms conventional CNN on raw waveforms. This research work has been tested on the Librispeech dataset and improved the Speaker identification accuracy by 10% and decreased the validation loss by 32%.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114730685","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: 1

Parts of speech tagging towards classical to quantum computing 词性标注从经典到量子计算

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028796

Shyambabu Pandey, Pankaj Dadure, Morrel V. L. Nunsanga, Partha Pakray

引用次数: 1

Design and Simulation of a Capacitive MOS Gas Sensor 电容式MOS气体传感器的设计与仿真

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028834

Bedabrata Biswas, F. Talukdar, G. S. Baghel

引用次数: 1

JOWTS: A differential evolution based approach for Microblog Summarization with advanced population enhancement techniques 基于差分进化的微博汇总方法与先进的种群增强技术

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028808

Atharva Deshpande, Shathanaa Rajmohan

{"title":"JOWTS: A differential evolution based approach for Microblog Summarization with advanced population enhancement techniques","authors":"Atharva Deshpande, Shathanaa Rajmohan","doi":"10.1109/SILCON55242.2022.10028808","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028808","url":null,"abstract":"Social networking services have emerged as the main sources for real-time information about events happening. It has been observed that pertinent information gleaned from tweets during catastrophic events can be helpful in a variety of ways. Therefore, it is necessary to create an automated microblog summarization system. The proposed approach JOWTS, confluence of a wide range of evolutionary computation techniques such as the well-known differential evolutionary algorithm JADE (DE/current-to-pbest/1), Opposition-based Learning (OBL) and Whale Optimization Algorithm (WOA), employs multi-objective optimization for microblog summarization. The summarization task is formulated as a multi-objective optimization problem and combination of objectives such as tweet length & importance of tweets (through tf-idf technique) in a dataset are optimized at the same time. For evaluation, datasets relevant to disaster events are employed and the results are compared to different alternative methodologies utilizing ROUGE measures. When compared against the contemporary evolutionary techniques, it was observed that JOWTS improves ROUGE-1, 2, L scores by 3.86%, 8.53% and 4.69% respectively.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128622004","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

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028813

Kiran Venneti, Hrishikesh Kashyap, R. Murugan, N. Jagan Mohan, Tripti Goel

{"title":"AMDNet: Age-related Macular Degeneration diagnosis through retinal Fundus Images using Lightweight Convolutional Neural Network","authors":"Kiran Venneti, Hrishikesh Kashyap, R. Murugan, N. Jagan Mohan, Tripti Goel","doi":"10.1109/SILCON55242.2022.10028813","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028813","url":null,"abstract":"Age-related Macular Degeneration (AMD) is a retina macular degenerative disease that affects elderly persons. Diagnoses of AMD can be accomplished via manual inspection of typical fundus images. But physicians are limited in their ability to process the full extent of data fundus images provide and their diagnoses are subject to differences in interpretation. This paper proposes an image processing algorithm using a lightweight convolution neural network to improve speed and standardization in AMD diagnosis. The first step in lightweight CNN is a feature extraction algorithm that automatically processes a fundus image to extract important retinal features. In the second step, the proposed method classifies the AMD based on the features extracted in the first step. The proposed network has been trained and tested with STARE and RFMiD fundus databases available publicly. The proposed network has obtained 97.39% and 98.97% accuracy with STARE and RFMiD databases, respectively. The results indicate that the proposed model is lightweight and is better than other state-of-the-art techniques, taken for considerations.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128350391","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

A Decentralized Crowdfunding Solution on top of the Ethereum Blockchain 以太坊区块链之上的去中心化众筹解决方案

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028843

Mani Sarmah, S. Saxena, S. Mukherjee

{"title":"A Decentralized Crowdfunding Solution on top of the Ethereum Blockchain","authors":"Mani Sarmah, S. Saxena, S. Mukherjee","doi":"10.1109/SILCON55242.2022.10028843","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028843","url":null,"abstract":"In today’s tech world, there are several crowdfunding platforms that enable both investors and organizations with a smooth flow of transactions, creating a huge hype in the market. However, security concerns and a fear of fraud are the biggest blow suffered by users on such networks. The history of crowdfunding platforms demonstrates the massive frauds that the public has been subjected to in recent years. This paper provides a completely decentralized method for creating a crowdfunding platform over the Ethereum Blockchain in the proposed system. A lot of attention has been attracted by Blockchain technology as a result of the rise of cryptocurrencies and decentralized apps. A common paradigm among them is the newly emerging Blockchain-based crowdfunding, which eliminates centralized cloud servers and uses smart contracts to fulfill each and every transaction. Blockchain, a promising decentralized paradigm, can be used to provide technological advancements like decentralization and accountability in addition to fixing the problems with current crowdfunding methods. The fundamental objective of the solution is to encourage accountability, transparency, and traceability for all stakeholders so that they always have complete control over their investments.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122256808","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

Applications of Chipless RFID in Different Sectors:A Review 无芯片RFID在不同领域的应用综述

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028974

Aiswarya T, Sumi M, H. I

引用次数: 0