2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)最新文献_第4页

A Dual-band MIMO Antenna for 5G sub-6 GHz/WiFi/WiMAX/WLAN/Bluetooth/C-band Applications 适用于5G sub-6 GHz/WiFi/WiMAX/WLAN/蓝牙/ c波段应用的双频MIMO天线

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101568

Nishan Das, M. S. Mia, Mohammad Tausiful Islam, A. Mostafa, Koli Dhar, R. Azim

引用次数: 1

Securing E-Passport Management Using Private-Permissioned Blockchain and IPFS 使用私人许可的区块链和IPFS保护电子护照管理

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101496

N. Jahan, Saha Reno, Mamun Ahmed

{"title":"Securing E-Passport Management Using Private-Permissioned Blockchain and IPFS","authors":"N. Jahan, Saha Reno, Mamun Ahmed","doi":"10.1109/ECCE57851.2023.10101496","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101496","url":null,"abstract":"To travel globally, a passport is the only official travel document that authenticates the holder's identity and citizenship which is provided by the government. Digital passports provide adamant verification through documentation that tangibly marks the passport owner using biometric techniques because it holds an electronic chip into the passport, also known as an e-passport. The biometric method uses a combination of RFID and fingerprint scanning technology. Notwithstanding, RFID chips have numerous security threats as the information confidentiality can easily be hacked and it is not entirely hassle-free. To get rid of these challenges as a potential remedy, in this paper we propose Hyperledger to secure e-passport management, which in contrast to the public blockchain, is an open-source private blockchain with strong security. When compared to the standard blockchain development framework, the legitimacy of transactions in a private blockchain powered by Hyperledger is substantially distinct, which is enable more effective and quicker transactions while maintaining essential security features. The InterPlanetary File System (IPFS), which has diverse security measures like access control features, non-modifiable data, and immutable history records, and this private ledger have both been used to safeguard private passport information and biometric data.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"22 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126125182","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

Measurement and Modeling of GaAs Based Nano-pHEMT: Small Signal to Large Signal Analysis 基于砷化镓的纳米phemt的测量和建模:小信号到大信号的分析

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101628

Md. Shamsul Alam, M. Alim, A. Rezazadeh

引用次数: 0

Design and Optimization of a Locally Generated Hybrid Energy System for Powering the Off-grid Clustered Houses of Chattogram Hill Tracts 山地离网集群式住宅局部混合能源系统的设计与优化

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101587

Md. Aminul Islam, Adreeta Jami Disha, K.M. Ilham-Ar-Raiyan, Mooaj Sadaqat Chowdhury

{"title":"Design and Optimization of a Locally Generated Hybrid Energy System for Powering the Off-grid Clustered Houses of Chattogram Hill Tracts","authors":"Md. Aminul Islam, Adreeta Jami Disha, K.M. Ilham-Ar-Raiyan, Mooaj Sadaqat Chowdhury","doi":"10.1109/ECCE57851.2023.10101587","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101587","url":null,"abstract":"Residents of the remote areas live in clusters and some of those areas are situated far from the national grid line. Supplying power to all those clustered houses from the national gridline is difficult and also not economically feasible. Therefore, supplying power from an efficient locally generated power system might be a suitable solution. In this research, a local hybrid power generation and distribution model from a diesel generator, along with hydro, wind, and solar systems are studied for Keokradong, which is one of the most visited remote tourist spots in Bangladesh. Multiple hybrid energy system models are analyzed for optimization using the HOMER software. In addition to hybrid systems connected to the grid, only renewable-based hybrid systems have been examined. Traditional fossil fuel-based energy sources and electricity output per unit cost are compared in a cost per kilowatt-hour comparison. The proposed method can be utilized for powering off-grid clustered areas of hilly and remote regions around the world in a cost-effective and environment-friendly manner.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127863983","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

Devising an IoT-Based Water Quality Monitoring and pH Controlling System for Textile ETP 基于物联网的纺织ETP水质监测与pH控制系统设计

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101616

Avishek Gupta, Md. Mynul Islam, Md. Rafiqul Islam, Zafar Sadek, Tarik Reza Toha, Anupom Mondol, Shaikh Mohammad Mominul Alam

{"title":"Devising an IoT-Based Water Quality Monitoring and pH Controlling System for Textile ETP","authors":"Avishek Gupta, Md. Mynul Islam, Md. Rafiqul Islam, Zafar Sadek, Tarik Reza Toha, Anupom Mondol, Shaikh Mohammad Mominul Alam","doi":"10.1109/ECCE57851.2023.10101616","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101616","url":null,"abstract":"In our country, a great number of industries especially textile industries consume a large amount of water at different textile processes, and at the same time, contaminated water is discharged into the environment at high volume because of a lack of proper monitoring and controlling system. There is a significant number of research works about water quality monitoring and controlling system, which are not automated and also have no notification system for abnormal situations. We propose an IoT-based automatic system with a water quality monitoring device and a pH-controlling device that provides water quality information and transmits data through Wi-Fi and Bluetooth for both online and offline conditions. The monitoring device can detect several important water quality parameters like DO, ORP, TDS, Temperature, EC, and pH. Our device can detect the abnormal value of the water and alarm the users through SMS and Email. The pH controlling device can control pH automatically and dose chemicals at required quantities adaptively in need to neutralize. To improve the sensor value, we calibrated pH, TDS, and EC sensors by developing equations from regression analysis. Between different regressions, we choose polynomial regression (order 2) as it shows the highest coefficient of determination value, which is 0.97655, 0.999, and 0.9999 for pH, TDS, and EC sensors, respectively. We implement our monitoring device in four textile industries and measure the quality parameters of the inlet and outlet points of the effluent treatment plant of each factory. Our monitoring device can detect water quality parameters and can identify between less and well-treated water. This monitoring device can be used at any water treatment plant and the pH controlling device can control the pH of any process, especially a wastewater treatment plant.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134502547","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 Study of the Open-loop Boost Converter and the Closed-loop PID Controlled Boost Converters 开环升压变换器与闭环PID控制升压变换器的比较研究

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101638

M. Alam, Nurul Bashar, Susmita Sarker, Sumiya Alam Lopa, Tofayel Ahmed

引用次数: 0

Ring Oscillator Based Voltage Controlled Oscillator Design for IoT Based Wireless Patient Monitoring Station in 50 nm CMOS Process 基于环振荡器的50nm CMOS工艺的物联网无线病人监护站压控振荡器设计

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101565

M. Hemel, K. Minhad, K. Ooi, M. Reaz, M. S. Amin, M. Bhuiyan

引用次数: 0

Drowsiness and Lethargy Detection Using Machine Learning Techniques 用机器学习技术检测困倦和昏睡

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101607

Md. Abu Dayan Siddik, Mohammad Shahidur Rahman

{"title":"Drowsiness and Lethargy Detection Using Machine Learning Techniques","authors":"Md. Abu Dayan Siddik, Mohammad Shahidur Rahman","doi":"10.1109/ECCE57851.2023.10101607","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101607","url":null,"abstract":"Drowsiness has severe effects on the safety of human life. The worldwide death rate due to drowsy driving is quite alarming. As the implementation of artificial intelligence (AI) is growing faster, this paper describes an attempt to implement machine learning (ML) to detect drowsiness. 120 videos of 60 participants are collected from the Real-Life Drowsiness Video Dataset made by a research team of the Vision-Learning-Mining Lab from the University of Texas at Arlington. Then Eye Aspect Ratio, Mouth Aspect Ratio, Pupil Circularity, and Mouth Aspect Ratio Over Eye Aspect Ratio, Nose Length, Chin Length, Nose Length Over Chin Length Ratio are extracted as features of each participant using the 3D Face-Mesh 468 facial landmarks system from those videos. After that, each feature is normalized by its mean and standard deviation. Then the CSV dataset is generated using seven initial and seven normalized features. A total of 30000 instances are there in the dataset. A total of eight classification algorithms are implemented to build the model. The dataset is split such that the individual in the train set will not be in the test set to test the proposed model's ability to predict drowsiness for new faces. 5-fold cross-validation is implemented to measure performance for each algorithm. Convolutional Neural Network (CNN) yields maximum accuracy (91.63%). The state of any individual's eye closing, rapid eye blinking, yawning, putting a hand on the mouth during yawning, and head posing too much up or down can be detected as drowsiness by the proposed model.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128065537","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

An Efficient Technique of Predicting Toxicity on Music Lyrics Machine Learning 一种有效预测歌词毒性的机器学习技术

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101658

Nahiyan Bin Noor, Ishraq Ahmed

{"title":"An Efficient Technique of Predicting Toxicity on Music Lyrics Machine Learning","authors":"Nahiyan Bin Noor, Ishraq Ahmed","doi":"10.1109/ECCE57851.2023.10101658","DOIUrl":"https://doi.org/10.1109/ECCE57851.2023.10101658","url":null,"abstract":"It is widely accepted that music is humanity's universal language since it can spread happiness and excitement throughout people's lives. Music is a form of art that is highly regarded worldwide. There are many ways that music lyrics affect our daily lives. In the music industry, it is crucial to prevent the reproduction of songs whose lyrics are toxic or unsuitable for children. Our mood might be impacted by listening to particularly toxic or non-toxic music. The listener's experience might be enhanced if the recommendation method eliminates toxicity. In this study, we use machine learning (ML) algorithms to classify lyrics from various musical genres and performers as toxic or non-toxic. Utilizing the Detoxify model, the toxicity score was generated and labelled the songs as toxic and non-toxic based on the scores. The study demonstrates that the configuration using the lyric data set along with TF-IDF vectorization and Ensemble of Logistic Regression, Support Vector Machine and Decision Tree as an algorithm surpasses all other designs with 94% accuracy. This classification will help the authority and policymakers of music industries to categorize the song based on the label and mention in the song description which is not appropriate for the children and set guidelines to prevent toxicity via songs.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121549497","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

Proposal of Single-Feed Microstrip Antenna for Quad-Polarization Agility With Short-Ended Microstrip- Line Perturbation 具有短端微带线摄动的四极化敏捷性单馈微带天线的设计

2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) Pub Date : 2023-02-23 DOI: 10.1109/ECCE57851.2023.10101594

Maodudul Hasan, Htet Wai Htun, E. Nishiyama, I. Toyoda

引用次数: 0