2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)最新文献_第2页

A User-friendly Android Application Featuring Smart Ticketing System and Destination Announcement for Metro Rail based Rapid Transport System in Bangladesh 一个用户友好的Android应用程序，具有智能票务系统和目的地公告为基础的地铁快速运输系统在孟加拉国

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718779

Shah Alam, Mahfuzulhoq Chowdhury, A. Siddique

引用次数: 0

An Approach to Assess ACh and NE Secretion inside Heart’s Myocardial Cell during R-peak Formation 心肌细胞r峰形成过程中乙酰胆碱和NE分泌的研究

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718857

Md. Hasibul Islam, Kusum Tara, H. Rahman, A. K. Sarkar

{"title":"An Approach to Assess ACh and NE Secretion inside Heart’s Myocardial Cell during R-peak Formation","authors":"Md. Hasibul Islam, Kusum Tara, H. Rahman, A. K. Sarkar","doi":"10.1109/ICEEE54059.2021.9718857","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718857","url":null,"abstract":"Human heart is one of the most complex structures of human body deals with unique and indispensable functionality to keep humans alive. Judgment of heart’s efficacy often relies on to what extent sympatho-vagal balance prevails and keeps the heart beating. This work deals with a two-approach-based solution to assess the secretion of acetylcholine (ACh) and norepinephrine (NE) inside heart’s myocardial cell during R-peak formation. Approach-I deals with formation of ECG peak, generation of action potential, and details of ACh and NE secretion inside myocardial cell. Approach-II analyzes and processes obtained cardiac signals in order to find out features necessary to define cardiac condition. Their combined analysis ends up refuting the assessing process with Respiratory sinus arrhythmia (RSA), Cardiac autonomic balance (CAB), and Cardiac autonomic regulation (CAR) in the range respectively of 0.04±0.025, −15.96±1.38, and 16.08±1.37 for NE predominance and 0.086±0.015, −14.63±0.333, and 14.76±0.33 for ACh predominance inside heart’s myocardial cell.","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":"121296381","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

Real-Time Drowsiness Alert System from EEG Signal Based on FPGA 基于FPGA的脑电信号实时困倦警报系统

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718788

Nafisa Tabassum, Nazifa Tabassum

{"title":"Real-Time Drowsiness Alert System from EEG Signal Based on FPGA","authors":"Nafisa Tabassum, Nazifa Tabassum","doi":"10.1109/ICEEE54059.2021.9718788","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718788","url":null,"abstract":"Driver drowsiness is one of the major factors behind road accidents. Every year thousands of people lose their lives and property due to this problem. Proper solutions should be taken to minimize this incident. So far some methods have been developed for detecting drowsiness, but proper real-time detection remains a challenge. As a result, we are proposing an FPGA-based approach that can detect drowsiness from EEG signals within nanoseconds. To design the proposed system, the magnitude of the EEG signal frequency is estimated by using 128-FFT, then the data is observed sample by sample by the timing diagram for comparing the duration or distance to detect the existence of theta region equal to the threshold value. After detecting drowsiness, the system would trigger an alarm within nanoseconds to alert the user. As the system is designed on FPGA, it is dynamically adaptable and capable of parallel processing which gives a very fast response (12ns). This proposed system is designed on XILINX VIVADO software by using Verilog HDL language. The design has been simulated on the Artix-7 field-programmable gate array (FPGA) development board by the software. This design offers some outstanding features such as a memory capacity of only 11.32 MB, power consumption of 82.338 mW with low voltage, and current of 1.8V and 1.8mA respectively. The proposed system can be used in real-time drowsiness detection while playing a major role in avoiding road accidents considerably.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"4 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":"130650985","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 X-Band Reflect Array Antenna using Circular Ring Patches 基于环形贴片的x波段反射阵列天线设计

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718775

Simanta Siddha, Abidur Rahman, R. R. Mahmud

引用次数: 0

Design and Implementation of a Helmet-based, Noninvasive CPAP Devices for COVID-19 基于头盔的新型冠状病毒肺炎无创CPAP设备的设计与实现

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718771

Md. Masrur Saqib, Md Mahmudul Hasan, Md Rafiul Islam, Jayed Hasan Sunny, Siam Shakil, G. M. Saad, Orchi Datta

引用次数: 0

Impact of Cladding Rectangular Bars on the Antiresonant Hollow Core Fiber 包层矩形棒对抗谐振空心芯光纤的影响

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718792

Ruhana Nishad, K. Shaha, Abdul Khaleque, Md. Sarwar Hosen, Md. Tarek Rahman

引用次数: 1

Artificial Bee Colony Algorithm for Optimization in Energy-saving Elevator Group Control System 基于人工蜂群算法的节能电梯群控系统优化

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718795

Mohammad Hanif, N. Mohammad, K. Ahmmed

引用次数: 2

Pattern Matching Based Metric for Recommending Ordered Items 基于模式匹配的订购商品推荐度量

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718931

Md. Mustafizur Rahman, Zanifer Afsana Stephi, Moqsadur Rahman

{"title":"Pattern Matching Based Metric for Recommending Ordered Items","authors":"Md. Mustafizur Rahman, Zanifer Afsana Stephi, Moqsadur Rahman","doi":"10.1109/ICEEE54059.2021.9718931","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718931","url":null,"abstract":"At present, we all know that the Recommendation System is essential. Our lives are continuously impacted by the Recommendation System. Its main objective is to suggest a relevant item or item list as per the user’s requirement. In many cases, it recommends the user’s desired item or item list based on rating prediction, and this prediction accuracy is considered to be the system’s actual accuracy. But can the rating prediction accuracy be considered the system’s true accuracy in ordered items prediction? Rating prediction system even after predicting a near-exact rating, there could be a difference between the actual item list and the predicted item list. We attempted to find answers to these issues by working with the College Recommendation System. We have used different machine learning-based models in our work for rating prediction. And we have measured the correlation between the actual item list and the predicted item list using the Longest Common Subsequence algorithm. Our analysis showed that the rating prediction accuracy does not always reflect the system’s actual accuracy in the scenario of ordered items prediction. The accuracy of the system should be verified by how closely the predicted item list matches the actual item list when recommending ordered items. A pattern-matching algorithm like - Longest Common Subsequence can be considered as an accuracy metric in this context.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"109 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":"133555586","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

Classification of Gastric Precancerous Diseases using Hybrid CNN-SVM 基于CNN-SVM的胃癌前病变分类

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718790

Jahidul Islam, Sajjad Bhuiyan, A. Hossain, Amit Shaha Surja, Md. Shahid Iqbal

{"title":"Classification of Gastric Precancerous Diseases using Hybrid CNN-SVM","authors":"Jahidul Islam, Sajjad Bhuiyan, A. Hossain, Amit Shaha Surja, Md. Shahid Iqbal","doi":"10.1109/ICEEE54059.2021.9718790","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718790","url":null,"abstract":"Gastric cancer (stomach cancer) is now the sixth most common diagnosed cancer and the third leading cause of cancer mortality in the world. Gastric Erosion, Gastric Ulcer, and Stomach Polyp are examples of Gastric Precancerous Diseases (GPDs) that can lead to gastric cancer if not recognized early or misdiagnosed. Classifying these GPDs is a difficult task. Undoubtedly, Deep learning networks (DNNs) have shown to be effective in solving the challenge of image categorization. Next to practical difficulty is the limitation of the availability of medical images for DNN training. In this paper, a hybrid model is proposed to classify GPDs. The model is a combination of Convolution Neural Network (CNN) Gastric Precancerous Diseases Feature Extractor Network (GPDFENet) for feature extraction and Support Vector Machine (SVM) for classification. An open dataset “Data-Open-Access4PLoS-One” including erosion, ulcer, and polyp endoscopic images were utilized to train the network. After evaluation, the network is then compared to various pre-trained networks such as AlexNet, ResNet-50, ResNet-101, and Inception V3. The proposed model (GPDFENet+SVM) has achieved an accuracy of 93.22%.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"63 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":"129701459","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

Population Extremal Optimization Based 2-DOF Control Strategy for Field Oriented Control of Induction Motor 基于群体极值优化的感应电机磁场定向控制二自由度控制策略

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718799

Md. Mahmudul Hasan, Md. Shajid Hussain, M. S. Rana, M. H. K. Roni

{"title":"Population Extremal Optimization Based 2-DOF Control Strategy for Field Oriented Control of Induction Motor","authors":"Md. Mahmudul Hasan, Md. Shajid Hussain, M. S. Rana, M. H. K. Roni","doi":"10.1109/ICEEE54059.2021.9718799","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718799","url":null,"abstract":"In this research work, population extremal optimization (PEO) with a hybrid mutation operation was used to optimize the speed loop’s proportional-integral-derivative (PID) controller of the indirect field-oriented control (IFOC) of a three-phase induction motor (IM). A two-degree-of-freedom (2-DOF) structure of the speed control loop for smoothing the electromagnetic torque responses without manipulating the current controllers was proposed. It was formed by considering the q-axis stator current, to which the electromagnetic torque is directly proportional, as a disturbance variable. The sum of integral time absolute error (ITAE) and a chattering penalty function was used as the objective function for controller optimization. The proposed PEO-based 2-DOF control achieved a lower objective function value than designs based on particle swarm optimization (PSO) and a genetic algorithm (GA). Also, appreciably superior performances of the 2-DOF control over the 1-DOF one was observed in terms of torque smoothing as well as speed tracking. The robustness of the proposed controller was examined by simulating a wide range of parameter variations. The modeling and simulation of the system was conducted in a MATLAB/Simulink platform.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"388 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":"116329168","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