2023 IEEE International Conference on Electro Information Technology (eIT)最新文献_第2页

AI-Based Localization and Classification of Visual Anomalies on Semiconductor Devices 基于人工智能的半导体器件视觉异常定位与分类

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187356

Minh Khai Le, Jason Zi Jie Chia, Dennis Peskes

引用次数: 0

PUF-Based Authentication for the Security of IoT Devices 基于puf的物联网设备安全认证

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187363

A. Oun, M. Niamat

引用次数: 0

Smart Infant Monitoring System Using Computer Vision and AI 基于计算机视觉和人工智能的智能婴儿监控系统

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187295

Gurpreet Singh, Abhishek Shekhar, Xinrui Yu, J. Saniie

{"title":"Smart Infant Monitoring System Using Computer Vision and AI","authors":"Gurpreet Singh, Abhishek Shekhar, Xinrui Yu, J. Saniie","doi":"10.1109/eIT57321.2023.10187295","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187295","url":null,"abstract":"The new era of technology is being greatly influenced by the field of artificial intelligence. Computer vision and deep learning have become increasingly important due to their ability to process vast amounts of data and provide insights and solutions in a variety of fields. Computer vision, deep learning and signal analysis have been used in a growing number of applications and services including smart devices, image, and speech recognition, healthcare, etc., one such device is an infant monitoring system. It monitors the daily activities of the infant such as their sleeping patterns, sounds, and movements. In this paper, deep learning and computer vision libraries were used to develop algorithms to detect whether the infant was in any uncomfortable situation such as sleeping on its back, face being covered and whether the infant was awake. The smart infant monitoring system detects the infant's unsafe resting situation in real time and sent immediate alerts to the caretaker's device. This paper presents the design flow of a smart infant monitoring system consisting of a night vision camera, a Jetson Nano, and a Wi-Fi internet connection. The pose estimation and awake detection algorithms were developed and tested successfully for different infant resting/sleeping situations. The smart infant monitoring system provides significant benefits for safety and an improved understanding of infants' sleep patterns and behavior.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124872729","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

Training Topology With Graph Neural Cellular Automata 用图神经元胞自动机训练拓扑

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187381

Daniel Dwyer, Maxwell M. Omwenga

{"title":"Training Topology With Graph Neural Cellular Automata","authors":"Daniel Dwyer, Maxwell M. Omwenga","doi":"10.1109/eIT57321.2023.10187381","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187381","url":null,"abstract":"Graph neural cellular automata are a recently introduced class of computational models that extend neural cellular automata to arbitrary graphs. They are promising in various applications based on preliminary test results and the successes of related computational models, such as neural cellular automata and convolutional and graph neural networks. However, all previous graph neural cellular automaton implementations have only been able to modify data associated with the vertices and edges, not the underlying graph topology itself. Here we introduce a method of encoding graph topology information as vertex data by assigning each edge and vertex an opacity value, which is the confidence with which the model thinks that that edge or vertex should be present in the output graph. Graph neural cellular automata equipped with this encoding method, henceforth referred to as translucent graph neural cellular automata, were tested in their ability to learn to reconstruct graphs from random subgraphs of them as a proof of concept. The results suggest that translucent graph neural cellular automata are capable of this task, albeit with optimal learning rates highly dependent on the graph to be reconstructed.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128280505","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

Using Blockchain, RAID, & BitTorrent Technologies to Secure Digital Evidence from Ransomware 使用区块链，RAID和BitTorrent技术来保护勒索软件的数字证据

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187306

Osama Sam Abuomar, Rebecca Yale Gross

引用次数: 0

Engineering the Device Performance of PLD Grown Tantalum Oxide based RRAM Devices 基于氧化钽的可编程逻辑器件的性能设计

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187322

Alireza Moazzeni, Md. Tawsif Rahman Chowdhury, C. Rouleau, G. Tutuncuoglu

引用次数: 0

Robust Control of a Microgrid System Under Real Parameter Variations 微电网系统实参数变化下的鲁棒控制

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187237

S. Kolla, Md Samiul Mohsin

{"title":"Robust Control of a Microgrid System Under Real Parameter Variations","authors":"S. Kolla, Md Samiul Mohsin","doi":"10.1109/eIT57321.2023.10187237","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187237","url":null,"abstract":"The importance of microgrids in power systems is increasing rapidly due to their advantages. In a microgrid system, voltage source converters are used to integrate renewable energy sources that have intermittent nature. These systems require better control methods to improve performance when the parameters of the system change. This paper presents a robust control method for the voltage source converter connected in a microgrid in continuous-time system model by using the linear quadratic regulator method. Robust stability bound measures based on the Lyapunov stability and time-invariant methods are introduced to ensure the stability of the converter based microgrid system if parameter uncertainties occur. These robust stability measures are used to design robust controller for the microgrid system. It is previously shown that the time-invariant robust stability methods give better results than the Lyapunov stability method. However, the Lyapunov stability method for a dependent uncertainty is found to give better results in this paper than the time-invariant method for the microgrid system. The eigenvalues of the closed-loop system designed by using the linear quadratic regulator, with perturbations that meet the stability conditions, have negative real parts making the system stable. MATLAB implementation of the proposed robust control method for microgrid system provided effective results by giving stable initial condition responses for the closed-loop system with perturbations.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123406546","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

Data analytics of fatal police shootings involving individuals in mental health crisis 涉及精神健康危机个人的致命警察枪击事件的数据分析

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187350

Sara Street Tahan, Osama Sam Abuomar

{"title":"Data analytics of fatal police shootings involving individuals in mental health crisis","authors":"Sara Street Tahan, Osama Sam Abuomar","doi":"10.1109/eIT57321.2023.10187350","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187350","url":null,"abstract":"In this study, a Monte Carlo simulation model was implemented to determine if having a licensed clinical social worker who responds to mental health emergencies would reduce the number of individuals with severe mental illness who are fatally shot by on-duty police officers. Factor analysis was performed to determine correlation and remove highly correlated features. This was followed by a logistic regression model that explored relationships between the remaining features and the target variable: whether the individual killed showed signs of mental illness prior to being shot. A self-organizing map was used for clustering as well as for feature selection. This method of unsupervised feature selection provided four features that were used to run the optimization and simulation models: the use of a body camera, if an individual was armed, the violent crime statistics for the state, and the reported threat level of the individual towards police officers. First, the dual annealing optimization was performed with an original objective function, then a utility function of a licensed clinical social worker was added. The results showed that increased body cameras and the added utility function helped reduce the number of fatal shootings involving individuals with severe mental illness. The Monte Carlo simulation was performed first, with the original objective function, and second, with the added utility function. This confirmed the results of the optimization algorithm that increased body cameras and a licensed clinical social worker could reduce fatal police shootings of individuals with severe mental illness.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132655920","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

Challenges and Future Trends of EEG as a Frontier of Clinical Applications 脑电图作为临床应用前沿的挑战与未来趋势

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187266

Ali Haider, Bijay Guragain

{"title":"Challenges and Future Trends of EEG as a Frontier of Clinical Applications","authors":"Ali Haider, Bijay Guragain","doi":"10.1109/eIT57321.2023.10187266","DOIUrl":"https://doi.org/10.1109/eIT57321.2023.10187266","url":null,"abstract":"The non-invasive techniques for diagnosis are rapidly increasing due to technological advancement in medicine. The analysis of physiological signals reveals information about the state of human health. Among these, electroencephalography (EEG) is commonly used in neuroscience for a wide range of operations that acquire electrical activities of brain. Human behavior during different psycho-physiological states can be studied using EEG. In fact, EEG has been found to be useful in a number of clinical applications. This review mainly presents various clinical prospects of EEG. The genesis of EEG is discussed along with its spectral behavior. In addition, various preprocessing approaches for artifacts removal are briefly discussed. The common features such as time, frequency, and non-linear parameters are also stated that reveal underlying information in EEG which is useful for both supervised and unsupervised classification problems. The processed EEG can be useful for the following clinical applications: seizure detection, psychological assessment, cognitive development, anesthesia monitoring, polysomnography, drowsiness detection, and brain computer interface. Although the non-invasive approach is highly beneficial in medicine, accuracy and reliability of such system is always an issue. To overcome these challenges, sophisticated and highly intelligent instrumentation techniques with convenient experimental setup needs to be developed which can attract consumers with broad spectrum usage of EEG.","PeriodicalId":113717,"journal":{"name":"2023 IEEE International Conference on Electro Information Technology (eIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132112130","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 an Artificial Neural Network to Improve the Stability of Smart Power Grids 提高智能电网稳定性的人工神经网络设计

2023 IEEE International Conference on Electro Information Technology (eIT) Pub Date : 2023-05-18 DOI: 10.1109/eIT57321.2023.10187287

Cameron Arkesteyn, B. Abegaz

引用次数: 0