2022 IEEE Silchar Subsection Conference (SILCON)最新文献_第4页

Mizo Visual Genome 1.0 : A Dataset for English-Mizo Multimodal Neural Machine Translation Mizo视觉基因组1.0:英语-Mizo多模态神经机器翻译数据集

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028882

Vanlalmuansangi Khenglawt, Sahinur Rahman Laskar, Riyanka Manna, Partha Pakray, Ajoy Kumar Khan

引用次数: 1

Voice-Assistant Liveness Analysis 语音助手动态分析

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028977

Shilpa De, Vishwas Kumar, R. Reddy

引用次数: 0

Quantification of Syringic Acid in Real Samples Based on UV-Vis Spectroscopy 紫外可见光谱法测定实际样品中丁香酸的含量

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028788

Dipan Bandyopadhyay, S. Nag, R. B. Roy

{"title":"Quantification of Syringic Acid in Real Samples Based on UV-Vis Spectroscopy","authors":"Dipan Bandyopadhyay, S. Nag, R. B. Roy","doi":"10.1109/SILCON55242.2022.10028788","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028788","url":null,"abstract":"In this research work, a reliable, as well as rapid Ultraviolet-visible (UV-Vis) spectroscopy technique, was employed for assessing syringic acid (SGA) contents in real samples-cauliflower (CLF), oregano (ORG) and black olive (BOL). Data measurements were performed using UV Spectrophotometer, operating in the wavelength range of 200-400 nm. Principal component analysis (PCA) was applied for analyzing and distinguishing different samples. PCA plot confirmed the effective clustering of the samples. A high-class separability index of 313.52 was obtained for the UV-vis absorbance data. Moreover, for prediction and correlation of SGA levels in the samples, principal component regression (PCR) as well as Partial least square regression (PLSR) analysis were performed. These prediction algorithms showed high average prediction accuracy of 99.68% and 99.65% respectively and almost the same correlation factor (CF) as high as 0.99 was obtained for both models. Further, high precision was observed with a low RSD value of 0.33 % for the peak absorbance at around 220nm. The primary investigation results recommend that for detecting and assessing SGA contents in real samples, the UV-Vis spectroscopy technique coupled with multivariate analysis may be a viable approach.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"26 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":"133463704","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

Comparative Analysis of Floating Solar Photovoltaic and Land Based Photovoltaic Plant 浮动太阳能光伏电站与陆上光伏电站的比较分析

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028831

Uzma Ramzan, M. Jamil

引用次数: 0

Comparison of Resampling Techniques for Imbalanced Datasets in Student Dropout Prediction 不平衡数据集重采样技术在学生辍学预测中的比较

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028915

Sheikh Masood, S. Begum

{"title":"Comparison of Resampling Techniques for Imbalanced Datasets in Student Dropout Prediction","authors":"Sheikh Masood, S. Begum","doi":"10.1109/SILCON55242.2022.10028915","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028915","url":null,"abstract":"One of the challenges in the Student Dropout Prediction (SDP) problem is imbalanced data, which reduces the efficiency of the Machine Learning (ML) classifier when predicting dropout students. The disproportionate distribution of samples between the majority class (more samples) and the minority class (fewer samples) causes the class imbalance problem, which is a significant challenge in classification problems. When a dataset is highly imbalanced, the ML classifiers give high accuracy as they learn mostly from the majority class. Hence, the accuracy may not always give correct insight about the trained model. In this paper, the findings of the study of several resampling techniques for handling imbalanced data at the data preprocessing level are presented. The Machine learning algorithms, viz. Logistic Regression and Support Vector Machine (SVM), over different performance evaluation metrics for binary classification problems, have been used in the present study to predict the minority class. It is found that the Area Under Curve (AUC) score gives the most reliable result amongst the other considered metrics for predicting the minority class, i.e., the dropout rate of the students.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"61 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":"114471423","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

A Study on Legal Judgment Prediction using Deep Learning Techniques 基于深度学习技术的法律判决预测研究

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028879

Prameela Madambakam, Shathanaa Rajmohan

引用次数: 1

Dual Polarized Planar MIMO Antenna for 5G Base Station Applications 面向5G基站的双极化平面MIMO天线

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028784

Divya Gudapati, C. Pravallika, C. Tejaswini, V. Chinnari, B. Divya Meghana, G. Sru Swapna

引用次数: 0

A Comprehensive review of the utilization of solar energy in the copper mining process 太阳能在铜矿开采中的应用综述

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028824

N. Tiwari, V. C. Pal

{"title":"A Comprehensive review of the utilization of solar energy in the copper mining process","authors":"N. Tiwari, V. C. Pal","doi":"10.1109/SILCON55242.2022.10028824","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028824","url":null,"abstract":"Copper is one of the essential materials in the technological development of modern devices used in engineering and technology. Mining is the first step to obtaining this material. The process starts with mining well-finished copper with the need for energy. Using conventional resources like coal, oil, and others causes too much pollution and are not sustainable energy resources. Therefore, renewable energy resources are another option to address the dangers posed by these scenarios. Solar power can be an appealing and continual energy source since most copper mines are situated in areas with high amounts of radiation. This article outlines present solar techniques, and the method they have used to mark some of the issues the copper mining sector is now experiencing. However, the study is concentrated on the significant copper production country Chile. India has also copper ore reserves contributing about 2% of world reserves. Therefore, it will be beneficial and optimum if solar energy utilizes this process in India. According to the study findings, there are various methods for incorporating solar power into copper mining activity.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"9 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":"124198297","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

Automatic Material Classification of Targets from GPR Data using Artificial Neural Networks 基于人工神经网络的探地雷达目标材料自动分类

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028944

Nairit Barkataki, Ankur Jyoti Kalita, Utpal Sarma

引用次数: 0

6G for Industry 5.0 and Smart CPS: A Journey from Challenging Hindrance to Opportunistic Future 6G工业5.0和智能CPS:从挑战障碍到机遇未来的旅程

2022 IEEE Silchar Subsection Conference (SILCON) Pub Date : 2022-11-04 DOI: 10.1109/SILCON55242.2022.10028927

Deborsi Basu, Uttam Ghosh, R. Datta

{"title":"6G for Industry 5.0 and Smart CPS: A Journey from Challenging Hindrance to Opportunistic Future","authors":"Deborsi Basu, Uttam Ghosh, R. Datta","doi":"10.1109/SILCON55242.2022.10028927","DOIUrl":"https://doi.org/10.1109/SILCON55242.2022.10028927","url":null,"abstract":"Revolution in hardware technology immensely enforced the up-gradation of modern communication networks. The inclusion of Artificial Intelligence (AI) and Machine Learning (ML) trigger a massive paradigm shift in industrial automation. As a result, two key complementary technologies are evolving now. They are 6G or 6th generation of wireless communication networks and Industry 5.0 or the 5th Industry insurrection. One drives the latter as far as their wide application area is concerned. The reliability and trust parameters are effectively improved with technology reformations. Smart Cyber-Physical Systems (CPS) are the beneficiary domain of the same. Remote connectivity, enabling smart villages, digital sensing, industrial internet, deep space communication, holographic 3D printing, high-precision manufacturing, asset tracking, quantum computation, logistic supply chains, remote e- healthcare, intelligent and autonomous vehicles, global ground monitoring, immersive interactive experiences like augmented and virtual reality (AR and VR), UAV communication, deepsea communication, etc., are technologies which will reshape the livelihood of the world’s population by combining the 6G with Industry 5.0. 6G along with the 5th Industry revolution are expected to hit the market by the end of 2030. Understanding the fundamental concepts of 6G, industry automation, and their interrelation is extremely necessary. So, our motivation is to provide a base to advance level guidance to young readers, researchers, professionals, or even common learners through a thorough road map. This work explains the open research areas and also points out the broad research scopes.","PeriodicalId":183947,"journal":{"name":"2022 IEEE Silchar Subsection Conference (SILCON)","volume":"8 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":"132414851","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