2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)最新文献_第6页

Performance Projection of GaN HEMT: Experimental Verification Using Angelov Model GaN HEMT性能投影:基于Angelov模型的实验验证

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836363

Refat Uddin Rafi, Famin Rahman Rakib, M. Alim

引用次数: 0

Genetic Algorithm for Efficient Cluster Head Selection in LEACH protocol of Wireless Sensor Network 无线传感器网络LEACH协议簇头高效选择的遗传算法

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836352

Humaira Binte Harun, Md. Saiful Islam, Mohammad Hanif

引用次数: 3

Network-based Approach to Identify Pathways and Macromolecule Interactions that Mediate Influences of COVID-19 on the Progression of Respiratory System Diseases 基于网络的方法鉴定介导COVID-19对呼吸系统疾病进展影响的途径和大分子相互作用

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836408

Nitun Kumar Podder, P. C. Shill, Humayan Kabir Rana, Subir Saha, A. Mimi, Nahnun Nahar Corniya, Nandita Paul, Tarun Kumar Saha

{"title":"Network-based Approach to Identify Pathways and Macromolecule Interactions that Mediate Influences of COVID-19 on the Progression of Respiratory System Diseases","authors":"Nitun Kumar Podder, P. C. Shill, Humayan Kabir Rana, Subir Saha, A. Mimi, Nahnun Nahar Corniya, Nandita Paul, Tarun Kumar Saha","doi":"10.1109/icaeee54957.2022.9836408","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836408","url":null,"abstract":"COVID-19 is an infectious illness concerning coronavirus that is transmitted through droplets propagated by an infected person exhales, coughs, or sneezes. People affected by coronavirus have a risk to occur respiratory diseases (RDs). The longevity of COVID-19 may appear a vital risk of manifesting RDs. To address these issues, we explored transcriptomic data to identify the genetic effects of COVID-19 on the development of RDs such as Bronchitis (BC), Asthma (AT), Lung cancer (LC), and Pulmonary Edema (PE). We explored GEO datasets from NCBI for COVID-19, BC, AT, LC, PE case, and control subjects. We identified COVID-19 is associated with RDs by sharing 16, 19, 27, and 59 commonly DEGs accordingly. By using these genes we performed some bioinformatics analysis and constructed diseasome networks, identified functional and ontological pathways. We formed PPIs networks and PDIs network. On the basis of PPIs and PDIs, we have identified hub proteins and constructed hub proteins network. We have successfully developed a quantitative model to identify the genetic effects of COVID-19 on the progression of RDs. We also validated our investigations through gold-benchmark datasets. Our results are an effective resource to mark out the most important influences on the development of RDs for COVID-19.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"1 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":"131309895","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

Load Frequency Control of an Inter Connected Power System Using PSO Based PID Controller 基于粒子群算法的并联电力系统负荷频率控制

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836435

Mohammad Sulaiman Redoy, Ruma

引用次数: 1

Simulating the electrical characteristics of a highly efficient Cs2AgBiBr6-based perovskite solar cell with NiOx hole transport layer 模拟具有NiOx空穴传输层的高效cs2agbibr6钙钛矿太阳能电池的电学特性

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836484

Md. Raghib Iftekhar, Md. Golam Rabbani, Adnan Hosen, Md. Saiful Islam, Md. Suruz Mian, Sheikh Rashel Al Ahmed

{"title":"Simulating the electrical characteristics of a highly efficient Cs2AgBiBr6-based perovskite solar cell with NiOx hole transport layer","authors":"Md. Raghib Iftekhar, Md. Golam Rabbani, Adnan Hosen, Md. Saiful Islam, Md. Suruz Mian, Sheikh Rashel Al Ahmed","doi":"10.1109/icaeee54957.2022.9836484","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836484","url":null,"abstract":"Lead-free double perovskites show much potential as optoelectronic materials because they are stable and non-toxic. We have conducted a numerical simulation to investigate non-toxic and inorganic Cs2AgBiBr6 absorber based-photovoltaic (PV) device with NiOx hole transport layer (HTL). Herein, the Solar Cell Capacitance Simulator in One Dimensional (SCAPS-1D) has been used to design the cell structure of Ni/NiOx/Cs2AgBiBr6/TiO2/FTO/Al. The optimum thickness of the Cs2AgBiBr6 perovskite layer is found to be 600 nm. Varuous physical parameters of the designed cell on the PV outputs have been explored. To understand the stability of the proposed perovskite solar cell (PSC), effect of functioning temperature on the PV efficiency is also analyzed. Maximum power conversion efficiency (PCE) of 25.38% is achieved with open-circuit voltage (Voc) of 1.33V, short-circuit current (Jsc) of 21.46 mA/cm2, and fill factor (FF) of 88.53% at the optimized device configuration. Therefore, these findings will give useful guidance in the replacement of frequently used detrimental Pb-based perovskite with an environmentally safe and highly efficient inorganic PSC. This research advances the development of flexible perovskite with a simple fabrication procedure and great device performance.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"1 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":"129211767","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

Detection of Power Quality Disturbances in Distribution Grid Network with Photovoltaic Penetration 光伏渗透下配电网电能质量扰动检测

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836411

Abdullah Al Mamun, K. Ahmed, S. Chowdhury

{"title":"Detection of Power Quality Disturbances in Distribution Grid Network with Photovoltaic Penetration","authors":"Abdullah Al Mamun, K. Ahmed, S. Chowdhury","doi":"10.1109/icaeee54957.2022.9836411","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836411","url":null,"abstract":"This paper aims to study the power quality disturbances that might occur in a Photovoltaic (PV) connected distribution grid. Recently, there has been rapid increase in grid-connected PV plants to meet the ever-increasing peak consumer demands. Grid-connected PV sources as well as non-linear loads introduce Power Quality issues. The PQ issues such as voltage sag, voltage swell, transients, total harmonic distortions, etc. might have an adverse effect on the reliable operation of power plant and distribution network. The first step in preparing a reliable grid system is to understand the types of quality issues and their effects. In this paper, the PQ issues that occur in the low voltage and medium voltage distribution grid due to the PV penetration and nonlinear loads are studied. To assess the quality issues, a MATLAB/SIMULINK model has been developed where a PV source has been integrated into the distribution network. Voltage variation caused by faults, total harmonic distortions due to PV penetration, and transient stability issues due to nonlinear loads have been simulated and analyzed.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"12 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":"132568375","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

Effect of the PMMA Layer Thickness on the Performance of Lab-on-fiber Radiation Dosimeter PMMA层厚对实验室-光纤辐射剂量计性能的影响

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836343

Ifat Arin, Md. Nahiduzzaman, Md Jahirul Islam, M. R. Kaysir

{"title":"Effect of the PMMA Layer Thickness on the Performance of Lab-on-fiber Radiation Dosimeter","authors":"Ifat Arin, Md. Nahiduzzaman, Md Jahirul Islam, M. R. Kaysir","doi":"10.1109/icaeee54957.2022.9836343","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836343","url":null,"abstract":"Lab-on-fiber (LOF) technology has diverse applications in different types of sensing and actuating nano-systems. Radiation dosimeter based on LOF can be effectively used to monitor radiation dose, where the optical properties are quantified due to the variation of radiation dose. In this work, we investigate the performance of an optical fiber tip having a patterned PMMA layer which is covered by a thin Au overlay. We observe the shifts in resonant frequency of the reflection spectra according to the variation of PMMA layer. In contrast, PMMA thickness is changed by the dose rate and correspondingly shifts the resonant frequency of the reflection spectra. In this analysis, design frequency ranges from 210 THz to 214 THz (wavelength 1402 nm to 1430nm). With the increase of the PMMA layer thickness, the peak-to-peak difference (in dB) of the reflection spectra S11, S21 decreases, and the minima and maxima point shift in the left-hand side (frequency decreasing in manner). This analysis would help designers to tune important design parameters to enhance the performance of the dosimeter.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"40 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":"126764714","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

Machine Learning and Deep Learning Techniques For Genre Classification of Bangla Music 孟加拉音乐体裁分类的机器学习与深度学习技术

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836434

Towkir Ahmed, M. Alam, R. Paul, M. T. Hasan, Raqeebir Rab

{"title":"Machine Learning and Deep Learning Techniques For Genre Classification of Bangla Music","authors":"Towkir Ahmed, M. Alam, R. Paul, M. T. Hasan, Raqeebir Rab","doi":"10.1109/icaeee54957.2022.9836434","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836434","url":null,"abstract":"Music genre classification is extremely important for both music recommendation and acquisition of music data, as well as for music discovery. There have already been a vast amount of researches conducted on the classification of music genres using various machine learning algorithms. Despite the fact that Bangla music is extremely diverse in terms of its own style, there has been little notable work done to date to categorize song genres in Bangla music using machine learning approaches. There are numerous varieties and modes of Bangla music, all of which may be categorised into different classes by their musical compositions. The dataset we use contains six different Bangla music genres. There are several unique attributes for each song which is included in the dataset, including zero crossing value, delta, chroma frequency, spectral roll-off, spectral bandwidth, and many others. Several machine learning models, as well as a deep learning technique, are proposed in this paper for classi-fying Bangla musics into multi-class classification. To train the supervised learning models, we used dimentionality reduction and feature scaling to increase the performance. Finally, our models are evaluated using f'l-score, recall, accuracy and precision. As can be observed, the implemented deep neural network model was able to reach an accuracy of 77.68 percent.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"61 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":"131109046","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

Performance Investigation and Optimization of 2-D Material based Double Gate Tunneling Field-Effect Transistor (DG-TFET) 二维材料双栅隧道场效应晶体管(DG-TFET)性能研究与优化

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836370

Robi Paul

{"title":"Performance Investigation and Optimization of 2-D Material based Double Gate Tunneling Field-Effect Transistor (DG-TFET)","authors":"Robi Paul","doi":"10.1109/icaeee54957.2022.9836370","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836370","url":null,"abstract":"The aggressive reduction of FET devices predicted in Moore's law has escorted us to an exponential decrease in device performance. Shifting from existing FET devices to Tunneling Field-Effect Transistor (TFET) has demonstrated higher performance while maintaining a significantly lower transistor gate size. It offers a steep subthreshold swing slope with a substantially lower leakage current, resulting in competitively lower power absorption from ordinary FETs. However, to increase the control over the TFET device even further, a slight variation in a design known as the Double Gate Tunneling Field-Effect Transistor (DG- TFET) is implicated. In this study, I have investigated and adjusted the performance of an N-type DG-TFET by altering several parameters such as device materials, high-k dielectric as oxide layers, and oxide thickness. In the end, Tungsten Ditelluride (WTe2) a 2-D material is used as the device material, while Niobium pentoxide (Nb2O5) is used as the high-k dielectric material according to the optimization process of the DG-TFET. The device has achieved a subthreshold swing of 18.37 mv/Dec and an Ion/Ioff of 1011. Finally, I have also conducted a comparative analysis between DG-TFET and a Single Gate Tunneling Field-Effect Transistor (SG-TFET) device with identical specifications.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"1 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":"129667911","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

Prediction of Bank Performance Using Machine Learning Classifiers Optimized by Genetic Algorithm 利用遗传算法优化的机器学习分类器预测银行业绩

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836523

Ummey Hany Ainan, Md. Nur-E-Arefin

{"title":"Prediction of Bank Performance Using Machine Learning Classifiers Optimized by Genetic Algorithm","authors":"Ummey Hany Ainan, Md. Nur-E-Arefin","doi":"10.1109/icaeee54957.2022.9836523","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836523","url":null,"abstract":"Bank performance is defined as the reflection of the way by which the assets of the bank are utilized in a form which enables it to accomplice its targets. Economic development highly depends on the functionalities of the banks. In past statistical approach is used to predict bank performance. Nowadays Machine Learning (ML) approaches are used in banking sector for better accuracy. In this work three famous Machine Learning classifiers named Random Forest (RF), Support Vector Machine (SVM) and Logistic Regression (LR) are used to find out the bank performance. The dataset used in this work are consist of 50 Turkish banks, 30 American banks and 20 European banks. The data have 24 performance indicators that measures performance from the year of 2010 to 2020. CAMEL technique is applied in this dataset in order to find ratings of the banks. In this study Genetic Algorithm (GA) plays a vital role. GA is used as optimizer and feature selector. At the end the models are evaluated with and without feature selection as well as with and without optimization. In this study SVM with optimization but without feature selection provides best accuracy among all the models which is 97.06% test accuracy. On the other hand, LR provides 80.21% test accuracy with feature selection but without optimization which is lowest in the whole study.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"17 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":"124047883","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