2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)最新文献_第3页

Sentiment Analysis of Amazon Product Reviews Using Machine Learning and Deep Learning Models 基于机器学习和深度学习模型的亚马逊产品评论情感分析

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836420

Joy Chandra Gope, Tanjim Tabassum, Mir Md. Mabrur, Keping Yu, Md. Arifuzzaman

引用次数: 8

Performance Analysis of SiSn Based High Efficiency p-n Junction Solar Cell 基于SiSn的高效pn结太阳能电池性能分析

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836512

Andrew Das Shuvro, Arju Roy, Md. Soyaeb Hasan, Md. Rafiqul Islam

{"title":"Performance Analysis of SiSn Based High Efficiency p-n Junction Solar Cell","authors":"Andrew Das Shuvro, Arju Roy, Md. Soyaeb Hasan, Md. Rafiqul Islam","doi":"10.1109/icaeee54957.2022.9836512","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836512","url":null,"abstract":"We presented here the theoretical study on the performance parameters of Si<inf>0.88</inf>Sn<inf>0.12</inf> p-n junction solar cell. A detailed description of the dependences of short circuit current density <tex>$boldsymbol{(Jsc),}$</tex> open circuit voltage <tex>$boldsymbol{(V oc),}$</tex> fill factor <tex>$boldsymbol{(FF)}$</tex> and conversion efficiency <tex>$boldsymbol{(eta)}$</tex> on the diffusion lengths of both electron <tex>$(L_{n})$</tex> and hole <tex>$(L_{p})$</tex> has been illustrated. We also demonstrated in depth the effect of generation rate of charge carrier as well as temperature on the <tex>$boldsymbol{J-V}$</tex> and <tex>$boldsymbol{P-V}$</tex> characteristics of SiSn solar cell at the room temperature. The estimated results revealed that the p-n junction solar cell using Si<inf>0.88</inf>Sn<inf>0.12</inf>alloy gives <tex>$mathbf{{J}_{text{sc}}sim 39.6text{mA}/text{cm},^{2}mathrm{V}_{mathrm{o}mathrm{c}}sim 0.89mathrm{V}, text{FF}sim 0.828}$</tex> and the maximum efficiency <tex>$mathbf{etasim 29.19%}$</tex>. Short circuit current density and open circuit voltage are found to be strongly dependent on the generation rate and the diffusion length of electrons and holes for <tex>$mathbf{Si_{1-x}Sn_{x}.}$</tex> In particular, the sustainability of SiSn alloy as an active photovoltaic material is assessed here by analyzing different performance parameters.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134320347","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

Simulation and optimization of a highly efficient ZnO/Cu2O/CdS/CdTe solar cell using SCAPS-1D 基于SCAPS-1D的高效ZnO/Cu2O/CdS/CdTe太阳能电池的仿真与优化

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836410

M. M. Hossain, N. Jahan, Rayhan Ul Hossain

引用次数: 2

HOG and Color Texture Salience: An Expedient Descriptor for Bangladeshi Fish Recognition HOG和颜色纹理显著性:孟加拉国鱼类识别的权宜之计描述符

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836353

Tasmia Tahnim, Md. Main Uddin Munna, S. M. M. Ahsan

{"title":"HOG and Color Texture Salience: An Expedient Descriptor for Bangladeshi Fish Recognition","authors":"Tasmia Tahnim, Md. Main Uddin Munna, S. M. M. Ahsan","doi":"10.1109/icaeee54957.2022.9836353","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836353","url":null,"abstract":"The number of fish species is decreasing alarmingly. To protect them from extinction, they require a computer vision process to classify fish species and find the endangered ones. Much research is done on this topic and much more is going on. This study aimed to find a feasible process for detecting and classifying Bangladeshi fish species using image processing methods. The detection step works with the Histogram of Oriented Gradient (HOG) descriptor and various classifiers to differentiate between fish class and non-fish class. Four different classifiers: Support Vector Machines (SVM), Decision Tree, Random Forest, and Naïve Bayes classifier were attempted. A classification process using Color Co-occurrence Matrix (CCM) texture descriptor and SVM classifier is used to classify fish species. Some statistical properties such as contrast, dissimilarity, correlation were employed to constitute the feature vector from CCM. From experimentation, it was found that HOG with SVM offers a promising accuracy in the fish detection phase. Also in the classification stage, extracted statistical CCM features with an SVM classifier show a practically useful accuracy. This detection and classification process is a way to save those endangered fish species.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121415520","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

Investigation on classification of motor imagery signal using Bidirectional LSTM with effect of dropout layers 基于dropout层的双向LSTM运动图像信号分类研究

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836415

Shadman Mahmood Khan Pathan, M. Rana

{"title":"Investigation on classification of motor imagery signal using Bidirectional LSTM with effect of dropout layers","authors":"Shadman Mahmood Khan Pathan, M. Rana","doi":"10.1109/icaeee54957.2022.9836415","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836415","url":null,"abstract":"While classification of neural signals is critical for various applications, practical uses of Electroencephalography (EEG) signals, for example wheelchair control, are sequential in nature. The Long Short Term Memory (LSTM) algorithm is known for its feasibility in analysing and learning from longer ranges of sequential data than recurrent neural networks (RNNs). This work has applied a novel LSTM model design on an EEG dataset which is larger than a reference work. The model in this work has achieved an accuracy of 83% on a dataset of 14 subjects using randomly shuffled tenfold cross validation. Whereas in reference work accuracy of individual subjects were considered. The test accuracy of the data was found to be higher for a training process due to application of dropout layers after LSTM layers. The implementation was realized using Tensorflow version 2.7.0 on a dataset contributed to Physionet which was of BCI2000 standard. Sampling frequency of the EEG signal was 160 Hz and the duration of epoch of the signal is 4 seconds. The implementation was realized using Tensorflow version 2.7.0 on a dataset contributed to Physionet which was of BCI2000 standard.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127587968","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

Text Prediction Zero Probability Problem Handling with N-gram Model and Laplace Smoothing 基于N-gram模型和拉普拉斯平滑的文本预测零概率问题处理

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836419

Raonak Jahan Mimi, Md. Abdul Masud, Rifat Rahman, Nusrat Sultana Dina

引用次数: 0

Performance Analysis of Multi-threaded Sorting for Unsorted Data Using Remote Procedure Call 使用远程过程调用对未排序数据进行多线程排序的性能分析

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836366

Samiha Khan, Asma Ul Hussna, Sanjida Ali Shusmita, Md. Ashekur Rahman, Iffat Immami Trisha, Md Sabbir Hossain, Annajiat Alim Rasel

{"title":"Performance Analysis of Multi-threaded Sorting for Unsorted Data Using Remote Procedure Call","authors":"Samiha Khan, Asma Ul Hussna, Sanjida Ali Shusmita, Md. Ashekur Rahman, Iffat Immami Trisha, Md Sabbir Hossain, Annajiat Alim Rasel","doi":"10.1109/icaeee54957.2022.9836366","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836366","url":null,"abstract":"Distributed procedures that use a message-passing approach communicate with one another by transferring bits of information in order to provide unique access to all available tasks. Almost every single modern computer now has a CPU with several cores, which provides additional computing capacity. Moreover, parallel execution is critical in the new age of big data to enhance performance to a reasonable threshold. Indeed, parallelization brings with it additional issues that must be tack-led. However, parallel algorithms are studied and contrasted in comparison to their consecutive equivalents. In our paper, we look at sorting the unsorted numbers in distributed systems. Multi-threaded methods and performance, along with the difficulty of defining time, affect speed as well. Following that, an experiment was conducted in which a set of algorithms was implemented as well as the data was gathered through benchmarking and testing. To establish the validity of parallelization, the data were inspected and analyzed with its associated source code. A review was carried out in order to obtain a better idea of the scope of sorting algorithms and parallel computing. In this paper, a multi-sorting threading algorithm approach has been conducted based on previous work. The primary idea behind the algorithm is simple as well as Remote Procedure Calls (RPCs) approach has been used.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131966012","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 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) - 54957 2022年国际电气与电子工程进展会议(ICAEEE) - 54957

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836423

引用次数: 0

A Bioinformatics Approach to Identify the Influences of Diabetes on the Progression of Cancers 用生物信息学方法确定糖尿病对癌症进展的影响

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836409

Nitun Kumar Podder, Fatama Akter, Arpa Kar Puza, P. C. Shill, Humayan Kabir Rana, K. Saha, Ratri Datta, M. A. Hossain

{"title":"A Bioinformatics Approach to Identify the Influences of Diabetes on the Progression of Cancers","authors":"Nitun Kumar Podder, Fatama Akter, Arpa Kar Puza, P. C. Shill, Humayan Kabir Rana, K. Saha, Ratri Datta, M. A. Hossain","doi":"10.1109/icaeee54957.2022.9836409","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836409","url":null,"abstract":"Diabetes is a communal illness with a tremendous impact on health and people with diabetes are at suggestively advanced risk for making many types of genetic dysfunction, particularly cancers like liver, uterine, lung, and colon cancer. To precise individuals with diabetes have specifically high levels of insulin in their blood, which could make for extra fertile grounds for cancer progression. The insulin injections intended at treating diabetes may also be influencing the hazard of cancers. To discourse these issues, we studied the computable frameworks to address the associations of diabetes and cancer datasets to identify the relationship between them. Diabetes is associated with cancers by sharing 22, 24, 15, and 25 DEGs with liver cancer, lung cancer, uterine cancer, and colon cancer respectively. Commonly DEGs, diseasome networks, pathways, ontological analysis indicate the suggestive relationship between diabetes with cancers. We investigated the datasets of transcript analyses made using microarray studies of diabetics and comorbidities as cancers, including datasets from liver, uterine, lung, and colon cancer. We erected diseasome networks and identified significant pathways, ontologies, and PPI sub-networks. This analysis validates the associations between diabetes on cancer progression and would be helpful to develop therapeutic strategies and comorbidities prediction.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130264154","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: 3

Wall Shear Stress Assessment of Aorta with Varying Low-density Lipoprotein Concentration 低密度脂蛋白浓度变化对主动脉壁剪应力的影响

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836470

M. Asaduzzaman, Sheikh Md. Rabiul Islam

{"title":"Wall Shear Stress Assessment of Aorta with Varying Low-density Lipoprotein Concentration","authors":"M. Asaduzzaman, Sheikh Md. Rabiul Islam","doi":"10.1109/icaeee54957.2022.9836470","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836470","url":null,"abstract":"Three-dimensional branched aorta has been modelled and simulated with an ambition to study wall shear stress with pulsatile blood flow and varying LDL cholesterol concentrations. LDL cholesterol is an important factor in hemodynamics and medical domain is thriving to get better sight of LDL and hemodynamics interaction to deal with numerous cardiovascular diseases. CAD modelled aorta, pulsatile blood flow, Newtonian and non-Newtonian models, convection-diffusion for LDL transport are the key tools for this study. Different published literatures considered blood as either Newtonian fluid or non-Newtonian fluid. However, both assumption is considered separately. COMSOL aided simulation yields an effective intuition about the assessment of blood velocity, its gradient and WSS for varying LDL concentration. As cholesterol concentration increased, velocity gradient adjacent to the aortic wall is found greater than the gradient in the center of aorta. Therefore, wall shear stress rises for higher concentration of LDL cholesterol. For both Newtonian and non-Newtonian models' data plots are found in similar patterns except their magnitudes. Cholesterol imbalance initiates atherosclerosis and therefore the study exhibits the potential contribution of cholesterol in wall shear stress, which is a predictor of atherosclerosis.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115099382","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