2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)最新文献_第5页

Robust Method of Lithium Ion Coin Half-Cell Fabrication 锂离子硬币半电池制造的稳健方法

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007240

M. S. Arsha, Jawad Arif, Zubair Rehman

{"title":"Robust Method of Lithium Ion Coin Half-Cell Fabrication","authors":"M. S. Arsha, Jawad Arif, Zubair Rehman","doi":"10.1109/ETECTE55893.2022.10007240","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007240","url":null,"abstract":"Lithium Ion batteries have found their applications in consumer electronics, the defense sector, Photovoltaic (PV) systems, and Electric Vehicles (EV) due to their immense benefits when compared to their counterparts such as high charge density, life cycles, long battery life, and low discharge. Due to the boom in EVs and increasing demand for energy storage options, a lot of research is being carried out to increase the capacity of Li-ion batteries with decreased size and charging rates. For that, electrode material composition, ratios, and electrolytes play a vital role to get the best from the Li-ion battery fabrication in terms of energy density. In this study, the half-cell (Coin) fabrication method is presented for academic researchers and industrial R&D for material selection. The study presents the complete method of fabrication of Li-ion coin cells for the researchers to enable them to fabricate their high-quality half-coin cells with good reproducibility of half cells. The study also presents the chemistry of the electrochemical cells and requirements of the material selection for Anode, cathode, and electrolyte. By following the mentioned method, Half-cell is fabricated. The equivalent model of the Li-ion half-cell is discussed along with Galvanostatic measurements at different C rates. It was verified that the higher the C rates, the lower the capacity of the cell.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":" 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132075099","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 Detection, Recognition, and Surveillance using Drones 使用无人机进行实时探测、识别和监视

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007285

Ayesha Mariam, Memoona Mushtaq, M. Iqbal

{"title":"Real-Time Detection, Recognition, and Surveillance using Drones","authors":"Ayesha Mariam, Memoona Mushtaq, M. Iqbal","doi":"10.1109/ETECTE55893.2022.10007285","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007285","url":null,"abstract":"Modern Artificial Intelligence (AI) developments urge that the evolved technology will impact our daily lives. Speculation drawn from AI literature proves that AI is growing rapidly. Due to AI, a lot of attention is derived to security surveillance. Implementation of AI in monitoring terms, is costly as it requires many infrastructures and human resources. Also, monitoring of one or multiple cameras feeds for a single source without missing the important points is nearly impossible. There is a need for real security system that is cheaper yet competent. It should manage a fast and easy way to moderate in an emergency cases like fire or weapon detection. Drones are widely used in security surveillance as they cut the cost of human resources. Also it gives fast and efficient responses in critical situations. Proposed methodology is used to avoid cases like fire breakout or intruder in sensitive areas. It contains Unnamed Arial Vehicle (UAV) for real time detection, recognition and monitoring. The video stream obtained by UAV is processed using proposed technique and results are made for three types of detection. These three detection types are Intruder, Object, and Smoke & fire. The results of them are send to control unit so that it can perform some action according to the situation. The accuracy of the suggested technique is measured both in regular and extreme situations, which is 98.93% in regular and extreme cases, 97.82% for smoke and fire & 91.63% for intruder cases.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123711110","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

Cardiovascular Disease Detection Using Multiple Machine Learning Algorithms and their Performance Analysis 基于多种机器学习算法的心血管疾病检测及其性能分析

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007319

Zainab Ali, Noman Naseer, Hammad Nazeer

{"title":"Cardiovascular Disease Detection Using Multiple Machine Learning Algorithms and their Performance Analysis","authors":"Zainab Ali, Noman Naseer, Hammad Nazeer","doi":"10.1109/ETECTE55893.2022.10007319","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007319","url":null,"abstract":"Heart problems have proven to be lethal all around the world. Cardiovascular diseases like cardiac rhythm disorders, heart failure, congenital heart diseases, etc. are the leading cause of death. In this disease, the heart fails to provide enough blood to other body regions to allow it to perform its regular functions. Cardiovascular disease is detected by traditional invasive procedures such as CT and angiography but they have their limitation to combat such problems and limitations, therefore early and precise diagnosis of this disease is needed for avoiding further damage to patients and protecting their lives in advance. The modern world required intelligent and modern solutions thus in this regard computational strategies built on intelligent machine learning systems have been discovered to be more accurate and effective in the identification of heart disease. This study aimed to develop a system that integrates multiple machine learning algorithms, including K-nearest Neighbor, Naïve Byes, Linear Regression, Decision Tree, and Random Forest, which are used to detect cardiovascular disease. Five machine learning algorithm models were developed and their performances were observed based on several other performance indicators like accuracy, Precision, F1-score, Macro Average, and Weighted average among two target classes i.e. Presence and absence of cardiovascular disease. Classification reports generated against each model were utilized to assess the efficacy and strength of the constructed model.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127847032","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

Functional Link NN based Adaptive Fuzzy Control for Nonlinear Dynamic Systems 基于函数链神经网络的非线性动态系统自适应模糊控制

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007334

Muhammad Tahir Abbas, R. Badar

引用次数: 0

The Role of Activation Function in Neural NER for a Large Semantically Annotated Corpus 激活函数在大型语义标注语料库的神经NER中的作用

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007317

Muhammad Saad Amin, Luca Anselma, A. Mazzei

引用次数: 0

EEG-based Engagement Index for Video Game Players 基于脑电图的电子游戏玩家粘性指数

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007386

Ghulam Ruqeyya, Tehmina Hafeez, Sanay Muhammad Umar Saeed, Aleeza Ishwal

{"title":"EEG-based Engagement Index for Video Game Players","authors":"Ghulam Ruqeyya, Tehmina Hafeez, Sanay Muhammad Umar Saeed, Aleeza Ishwal","doi":"10.1109/ETECTE55893.2022.10007386","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007386","url":null,"abstract":"Modern era has changed the lifestyle of the people with technological advancement. Video games have become an integral part of daily entertainment for society. This study proposes an engagement index for a video game using electroencephalography (EEG) and compares its result with existing indices available in the literature. This study employs the use of a 14-channel Emotiv EPOC headset for evaluating the engagement of the players in a video game. The study utilizes the dataset of 10 volunteer participants available on Kaggle. Previously available engagement index calculation techniques utilized three or more features while we propose the use of only two features i.e., theta AF3 and alpha P7 for the calculation of the player's engagement index. Results depict that our proposed index is statistically similar to previous indices, while it needs only two electrodes to gauge player engagement. Additionally, these indices can also differentiate between an expert and a novice player. Thus, it is a step towards the improvement of player experience using dynamic difficulty adjustment (DDA).","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"65 Pt 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123799117","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 for Area-Wide Monitoring of Surface Level Concentration of NO2 Using Remote Sensing Data 利用遥感数据进行全区域NO2地表浓度监测的机器学习

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007417

Ehtasham Naseer, Abdul Basit, Muhammad Khurram Bhatti, M. A. Siddique

{"title":"Machine Learning for Area-Wide Monitoring of Surface Level Concentration of NO2 Using Remote Sensing Data","authors":"Ehtasham Naseer, Abdul Basit, Muhammad Khurram Bhatti, M. A. Siddique","doi":"10.1109/ETECTE55893.2022.10007417","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007417","url":null,"abstract":"Nitrogen dioxide (NO2) is one of the six gaseous air pollutants that need regular monitoring in big cities around the world. It contributes to particle pollution and can trigger chemical reactions that lead to increased concentration of ozone in the troposphere. Lahore, a metropolitan city of Pakistan is among the most polluted cities in the world. Area-wide monitoring of NO2 is necessary in this region to devise a long-term emission control policy. However, it lacks a dense network of ground-based air quality monitoring stations (AQMS), which is need of the hour. The installation of AQMS requires huge financial resources. In this paper, we investigate a machine learning-based approach to estimate surface level concentration of NO2 using remote sensing and modeled meteorological data. We use multiple linear regression (M1) and a polynomial fitted regression (M2) techniques to model ambient NO2, using remotely sensed vertical column density (VCD) of NO2, acquired by tropospheric monitoring instrument (TROPOMI), onboard Sentinel 5P satellite, and modeled meteorological parameters such as surface pressure, dew point temperature, and wind speed. Results show that M2 outperformed M1 with an $mathbf{R}^{2}$ value of 0.49 and root mean square error (RMSE) value of $mathbf{19}.mathbf{27} mu mathbf{g}/mathbf{m}^{3}$. There is a moderate positive correlation between in-situ measurements and remotely sensed VCD of NO2, which makes it an interesting problem that needs to be explored further to achieve desirable results.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127480267","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

HMSIW Miniaturized Bandpass Filter Loaded with Two Elliptic Complementary Split-Ring Resonators for S-Band Applications 小型带通滤波器加载两个椭圆互补分环谐振器的s波段应用

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007318

Hichem Boubakar, M. Abri, A. Akram, M. Benaissa, Sarosh Ahmad

引用次数: 0

Performance Analysis Of Dual Axis Solar Tracking System Actuated Through Serial Manipulators 串联机械手驱动的双轴太阳跟踪系统性能分析

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007364

S. S. Farooq, Junaid Attique, S. A. Ahmad, M. Farooq, Mumtaz A. Qaisrani

引用次数: 1

Modeling and Parametric Investigation of Vibration Energy Harvesting using Bimorph Piezoelectric Beam with a Tip Mass 带有尖端质量的双晶圆压电梁振动能量收集建模及参数化研究

2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE) Pub Date : 2022-12-02 DOI: 10.1109/ETECTE55893.2022.10007361

Salman Khan, Muhammad Sohail Anwar Malik, S. Ahmad, Massab Junaid, Sadia Bakhtiar

{"title":"Modeling and Parametric Investigation of Vibration Energy Harvesting using Bimorph Piezoelectric Beam with a Tip Mass","authors":"Salman Khan, Muhammad Sohail Anwar Malik, S. Ahmad, Massab Junaid, Sadia Bakhtiar","doi":"10.1109/ETECTE55893.2022.10007361","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007361","url":null,"abstract":"The development of self, low-power, and wireless electronic devices or systems has led to a strong interest in the field of energy harvesting and the development of mini generators. To power small electronic devices, energy is harvested from ambient energy sources using piezoelectric energy harvesting (PEH) materials. For this purpose, parametric investigation of a bimorph morph beam with a tip mass at the free end was performed using the Simscape model. Due to the excitation of the external sinusoidal force, the beam deforms and becomes polarized. An electric circuit was used to extract the voltage to power small electronic devices (SEDs), or it can also be stored in a battery for later utilization. First, a beam of six different PEMs was studied, and found that PZT-5A has the highest output voltage. Then the PZT-5A was further investigated to see the effect of length, width, thickness of PEM, tip mass, and frequency of excitation force on the output voltage generation. The results show that the length, width, excitation frequency, and amplitude of the excitation force, tip mass, and thinner PEM can increase output voltage generation. Energy harvesting is one of the basic desires for the Internet of Things (IoT) and 5G to power sensors, micro-electro-mechanical systems (MEMS), and other small electronic devices.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130752776","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