2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)最新文献

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Impacts of Dielectric Constant on Performance Study of CNTFET 介电常数对CNTFET性能研究的影响
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718839
M. Hasan, Washik Adnan, Nafisa Anjum, Riffat Ara Islam Ritu, Md. Faysal Nayan
{"title":"Impacts of Dielectric Constant on Performance Study of CNTFET","authors":"M. Hasan, Washik Adnan, Nafisa Anjum, Riffat Ara Islam Ritu, Md. Faysal Nayan","doi":"10.1109/ICEEE54059.2021.9718839","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718839","url":null,"abstract":"Because of its compact size and unique ballistic, thermal management, and low resistive capabilities, the CNTFET is an efficient semiconductor device. The tiny contact space makes Schottky barriers exceedingly thin, allowing the device to function adequately. Furthermore, the characteristics of ballistic conduction, as well as the deep influence of gate capacitance and the influence of dielectric constant on performance, have contributed gaining its popularity in the emerging nano industry. This investigation exclusively examines the ION current, IOFF current, and their ratio (ION/IOFF) of CNTFETs, which is considerably affected by temperature and gate insulator dielectric constant. A numerical modeling was used to investigate the impact of dielectric permittivity on the functionality of a CNTFET. Furthermore, the CNTFET’s superb mobility and functionality are enabled by its low temperature and excellent dielectric constant.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116170157","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 Machine Learning Approach to Track COVID-19 Pandemic using Sentiment Analysis 使用情绪分析跟踪COVID-19大流行的机器学习方法
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718770
Tasnia Rahman, Sakifa Aktar
{"title":"A Machine Learning Approach to Track COVID-19 Pandemic using Sentiment Analysis","authors":"Tasnia Rahman, Sakifa Aktar","doi":"10.1109/ICEEE54059.2021.9718770","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718770","url":null,"abstract":"Coronavirus disease or COVID-19 is one of the most frightening and infectious diseases of the twenty-first century. Since the outbreak of COVID-19 in Wuhan, China, numerous researches are conducted in this sector. At the preliminary stage, there was not sufficient numeric data for research but when we consider the text data such as trending topics of Social Media or patients sharing experiences about their symptoms, we get enough data to ace the navigation of the Coronavirus (SARS-CoV-2). Keeping aside the health complications related to COVID-19, there also has been huge public panic following the pandemic. Sentiment analysis helps to learn the emotions of a vast number of people about any particular topic. In this paper, we have used sentiment analysis methods to observe the public reaction to the COVID-19 pandemic and people’s experience of the ongoing vaccination process. Machine Learning-based (ML-based) classification algorithms are implemented for text classification. Finally, the accuracy of the classification models is also calculated for further prediction.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129306071","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
Fast CU Splitting And Computational Complexity Minimization Technique By Using Machine Learning Algorithm In Video Compression 视频压缩中基于机器学习算法的快速CU分割和计算复杂度最小化技术
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718854
Md. Zahirul Islam, Boshir Ahmed
{"title":"Fast CU Splitting And Computational Complexity Minimization Technique By Using Machine Learning Algorithm In Video Compression","authors":"Md. Zahirul Islam, Boshir Ahmed","doi":"10.1109/ICEEE54059.2021.9718854","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718854","url":null,"abstract":"Video compression is frequently used for reducing the original data in order to store or communicate the data through a transmission line. All modern video codecs use the flexible block partitioning at the time of rate-distortion (RDO) process. As a result, these codecs minimize the bits but has a immense time complexity. So, computational time complexity is one the main problems for video encoders and decoders. In this work, we proposed a machine learning approach called gradient descent algorithm for fast CU splitting to reduce the time complexity of the video encoder by using the concept of skip criterion. Experimental results show that on average 44.18% encoding time can be saved over HEVC (High Efficiency Video Coding). On the other hand, on average, 1.34% bit rate is increased as a trade-off.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121204525","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
Highly Birefringent Low Losses Hollow-Core Antiresonant Fiber 高双折射低损耗空心抗谐振光纤
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718850
Md. Sarwar Hosen, Abdul Khaleque, K. Shaha, Ruhana Nishad, A. Sultana
{"title":"Highly Birefringent Low Losses Hollow-Core Antiresonant Fiber","authors":"Md. Sarwar Hosen, Abdul Khaleque, K. Shaha, Ruhana Nishad, A. Sultana","doi":"10.1109/ICEEE54059.2021.9718850","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718850","url":null,"abstract":"In this paper, a proposal on highly birefringent and low losses hollow core antiresonant fiber is presented and analyzed, capable of exhibiting better performances than the recent related achievements. The addition of high index layers and elliptical nesting on our optimized structure improved the birefringence by nearly one order: highest value is 2.6×10−4 at 1520 nm wavelength and maintains a birefringence level of > 1×10−4 for 100 nm bandwidth. It also achieves a lowest confinement loss of 6.33×10−3 dB/m at 1520 nm by covering a range of 200 nm within which loss remains < 1 dB/m. Moreover, the presented fiber claims very low bending loss of 9.06×10−3 dB/m at a short bend radius (6 cm) and maintains a bending loss of < 0.01 dB/m from 4 cm bend radius to onwards. Therefore, our proposed fiber, having above excellent properties, may be useful for designing future polarization controlling devices in the area of optical communication.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127227931","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
Visualization of CTU Partitioning And Time Complexity Analysis in HEVC and VVC HEVC和VVC中CTU划分的可视化及时间复杂度分析
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718772
Md. Zahirul Islam, Boshir Ahmed
{"title":"Visualization of CTU Partitioning And Time Complexity Analysis in HEVC and VVC","authors":"Md. Zahirul Islam, Boshir Ahmed","doi":"10.1109/ICEEE54059.2021.9718772","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718772","url":null,"abstract":"Versatile Video Coding (VVC) is the current standard in video coding having high coding efficiency than its predecessor (HEVC). However, as a trade-off, its complexity is increased both on the encoding and decoding side over HEVC because of checking various combinations. In VVC, coding efficiency is gained up to 50% over HEVC which is possible due to flexible block partitioning. VVC improves its efficiency using Multi Type Tree partitioning (MTT), incorporating 67 intra prediction modes and using Multiple Transform Selection (MTS). The inclusion of flexible partitioning is the main source for increased time complexity. In this paper, time complexity of HEVC and VVC codec is investigated. Also, the visualization of CTU partitioning is analyzed. Experimental results show that 90.19% time complexity is increased on average in VVC compared to HEVC with the same configuration file. On the other hand, on average 29.72% bit-rate is saved in VVC over HEVC standard.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116965761","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
Spreading Loss Model for Channel Characterization of Future 6G Terahertz Communication Networks 未来6G太赫兹通信网络信道特性的扩频损耗模型
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718778
Md Biplob Hossen, M. Z. Chowdhury, Mohammad Ehatasham Shawon
{"title":"Spreading Loss Model for Channel Characterization of Future 6G Terahertz Communication Networks","authors":"Md Biplob Hossen, M. Z. Chowdhury, Mohammad Ehatasham Shawon","doi":"10.1109/ICEEE54059.2021.9718778","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718778","url":null,"abstract":"The global bandwidth deficiency facing wireless network has motivated the scrutinization of the underdeveloped Terahertz (THz) frequency (275 GHz to 3 THz) spectrum for future wireless communication networks. Latest millimeter wave (mmWave) technology is even incapable of delivering exalted data rates with massive bandwidth for sixth generation (6G) communication. The significant path loss is one of the key obstacles to THz wireless communication being accomplished. Terahertz communication has insanely high molecular absorptions as well as molecular noise created by water vapor in response to attenuation of electromagnetic radiation with incredibly high propagation path loss. Communication in the terahertz band undergoes significant spreading, reflection, and scattering losses in additional to molecular losses. However, the strong resources and minimal attenuation managed to achieve by leveraging a high directional antenna paves the way to a promising future applications. In this paper, we investigate and simulate the variation of refractive index at different atmospheric conditions and spreading attenuation characteristics of terahertz link. We also show different propagation losses occur in THz communication. To address this issue, this article presents attenuation profiles for spreading as well as their relevant propagation loss characteristics and comparison with other technologies. Therefore, assisting in the construction of THz channel models and thereby opening a new door for 6G wireless communication.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115368228","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
Information Theoretic Metrics for Automatic Quality Assessment of Processed PPG Signals 处理后PPG信号质量自动评估的信息理论度量
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718934
G. L. K. Reddy, M. Manikandan, N. V. L. N. Murty
{"title":"Information Theoretic Metrics for Automatic Quality Assessment of Processed PPG Signals","authors":"G. L. K. Reddy, M. Manikandan, N. V. L. N. Murty","doi":"10.1109/ICEEE54059.2021.9718934","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718934","url":null,"abstract":"Most wireless health monitoring devices are designed to continuously acquire, process, store and transmit photoplethysmogram (PPG) signal(s) that may undergo different kinds of waveform distortions at the processing stages of denoising, compression and transmission to be performed at the wireless biosensing node. Therefore, in this paper, we present and evaluate the performance of the information-theoretic metrics, including the mutual information (MI) and Kullback-Leibler divergence (KLD) by using various kinds of compression and reconstructed signals obtained based on the compressed sensing, discrete cosine transform, predictive coding, and discrete wavelet transform. Evaluation results on the 3-point and 2-point scale ratings of subjective quality evaluation test showed that the MI metric provides promising results in terms of higher Pearson correlation coefficient with subjective quality scores and prediction accuracy in correctly predicting the quality group as compared to that of the KLD metric.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131592732","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
Robust Microphone Beamformer in the Presence of Multiple Interfering Signals 多干扰信号存在下的鲁棒麦克风波束形成器
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718861
M. Hossein, M. S. Hossain, M. Rashid, Nasim Ahmed
{"title":"Robust Microphone Beamformer in the Presence of Multiple Interfering Signals","authors":"M. Hossein, M. S. Hossain, M. Rashid, Nasim Ahmed","doi":"10.1109/ICEEE54059.2021.9718861","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718861","url":null,"abstract":"This paper presents a robust uniform linear microphone array (ULMA) beamforming to focus on specific sound among multiple interferences along with other reverberations using constrained techniques in Matlab Simulink platform. Robust beamforming is essential for practical implementation because of different uncertainties created in beamformer such as direction-of-arrival (DOA) mismatch which degrades the array performance most. Preparation of controlled beamforming usually requires presteering the array using direction finding hindrances which generate execution problem and hence the degradation in array performances. Simulation results have demonstrated that the proposed acoustic microphone array processor gives almost 3.5% better performances in terms of SINR and array gain of the beamformer and eliminating the requirement of array presteering criteria as it has the capability to steer the main beam at any random direction.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130526853","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 Analysis of IoT Based Solar Operated Smart Water Management System for Irrigation Field 基于物联网的灌溉农田太阳能智能水管理系统性能分析
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718794
Sheikh Shafaet Islam, Md Mahmudul Hasan, Md Rafiul Islam, Md. Faruk Hossain
{"title":"Performance Analysis of IoT Based Solar Operated Smart Water Management System for Irrigation Field","authors":"Sheikh Shafaet Islam, Md Mahmudul Hasan, Md Rafiul Islam, Md. Faruk Hossain","doi":"10.1109/ICEEE54059.2021.9718794","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718794","url":null,"abstract":"The economy of Bangladesh is mostly dependent upon agriculture that requires an innovative and reliable system for irrigation. The limitations of conventional systems can be reformed by employing smart irrigation systems which will be IoT (Internet of Things) based and automated. This paper offers the idea of smart irrigation and the following research conveys the idea. The process of smart irrigation is done by the help of soil moisture sensors placed adjacent to the roots of plants since plants need sufficient water to their roots, not the surface of lands yet the conventional system checks the surface water level of lands and makes decisions on it. Thus, no sooner does the water reach the roots of plants than an extra amount of water is supplied on the lands as wastage. The proposed system is totally IoT based and solar panels are employed in it for pollution free energy supply. In order to produce 1kg of rice, water savings in conventional irrigation is around 35% however this proposed smart irrigation system can increase the water savings rate to 64%.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130539833","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
Efficient Computation of Leaf Disease Classification Techniques using Deep Learning 基于深度学习的叶片病害分类技术的高效计算
2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718941
Saifa Azmiri Mohona, Sakifa Aktar, Md. Martuza Ahamad
{"title":"Efficient Computation of Leaf Disease Classification Techniques using Deep Learning","authors":"Saifa Azmiri Mohona, Sakifa Aktar, Md. Martuza Ahamad","doi":"10.1109/ICEEE54059.2021.9718941","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718941","url":null,"abstract":"Being a major agricultural country, a considerable amount of development depends on the agriculture of Bangladesh. As agriculture stays one of the main areas of the Bangladeshi economy, Bangladesh is attempting to become independent in producing food by creating successful developing agronomy. At the same time, plant leaf disease is quite natural and sometimes uncontrollable that causes damage of crops, as well as causing significant damage in the agronomy of Bangladesh. To prevent the problem, this work aims to classify several plant leaf diseases, specifically corn, grape, mango, and pepper, to diagnose the leaf diseases for proper early action to cure. We have also been able to classify by means of disease classification as a multi-class classification of those four plant leaves. Therefore, We have used Convolutional Neural Network (CNN) based Deep Learning models to analyze the results, and we have compared the scores of four CNN models: VGG-16, VGG-19, GoogLeNet, and our proposed model. Finally, our proposed model imparted better computation and achieved 99.91% accuracy. Furthermore, we have found that deep learning could be an appropriate approach to classify ill leaves of the plants from the healthy.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128788490","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: 4
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