2021 IEEE International Conference on Electro Information Technology (EIT)最新文献_第3页

Automotive Network Security 汽车网络安全

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491889

Dingwang Wang, S. Ganesan

引用次数: 4

Security Analysis of 5G Network 5G网络安全分析

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491923

John A. Khan, M. Chowdhury

引用次数: 10

Spatial Temporal Denoised Thermal Source Separation in Images of Compact Pulsed Thermography System for Qualification of Additively Manufactured Metals 用于增材制造金属鉴定的紧凑脉冲热成像系统图像的时空去噪热源分离

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491844

Xin Zhang, J. Saniie, A. Heifetz

{"title":"Spatial Temporal Denoised Thermal Source Separation in Images of Compact Pulsed Thermography System for Qualification of Additively Manufactured Metals","authors":"Xin Zhang, J. Saniie, A. Heifetz","doi":"10.1109/EIT51626.2021.9491844","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491844","url":null,"abstract":"We introduce a Spatial Temporal Denoised Thermal Source Separation (STDTSS) unsupervised machine learning (ML) algorithm for detection of material flaws in additively manufactured (AM) metals using pulsed thermography (PT) images obtained with compact infrared (IR) camera. Quality control of actual AM structures is necessary before their deployment, because AM metals can contain defects, such as pores, due intrinsic features of AM process. The PT nondestructive evaluation (NDE) method is based on recording material surface temperature transients with IR camera following thermal pulse delivered on material surface with flashlight. The PT method has advantages for NDE of arbitrary size AM structures because the method involves one-sided non-contact measurements and fast processing of large sample areas captured in one image. To reduce the cost and enable in-service NDE in spatially constrained environment, it is highly desirable to develop PT with compact and inexpensive IR camera. However, data cube obtained with PT based on compact IR camera suffers from strong thermal noises and loss of features due to relatively low sampling rate. The purpose of STDTSS algorithm is to compensate for uncertainties detection due to reduced resolution of low-cost hardware. The STDTSS algorithm consists of spatial and temporal denoising using Gaussian and Savitzky–Golay filtering, followed by the matrix decomposition using Principal Component Analysis (PCA), and Independent Component Analysis (ICA) to automatically detect flaws. We construct a compact PT system based on FLIR A65 camera, and demonstrate performance of STDTSS method in detection of imprinted calibrated defects in AM stainless steel 316L specimens.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132364327","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: 8

Modified Combinatorial Design for Sparse NOMA System 稀疏NOMA系统的改进组合设计

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491914

Xing Hao, Yuteng Wu, Yu Xiao, G. Atkin

引用次数: 0

The Study of IoT MQTT Publish Latency 物联网MQTT发布延迟研究

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491838

Guoping Wang

引用次数: 0

Ensemble Learning Methods for Anomaly Intrusion Detection System in Smart Grid 智能电网异常入侵检测系统的集成学习方法

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491891

T. T. Khoei, Ghilas Aissou, When Chen Hu, N. Kaabouch

{"title":"Ensemble Learning Methods for Anomaly Intrusion Detection System in Smart Grid","authors":"T. T. Khoei, Ghilas Aissou, When Chen Hu, N. Kaabouch","doi":"10.1109/EIT51626.2021.9491891","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491891","url":null,"abstract":"Smart grid is an emerging technology that delivers intelligently to the end-users through two-way communication. However, this technology can be subject to several cyber-attacks due to this network's inherent weaknesses. One practical solution to secure smart grid networks is using an intrusion detection system (IDS). IDS improves the smart grid’s security by detecting malicious activities in the network. However, existing systems have several shortcomings, such as a low detection rate and high false alarm. For this purpose, several studies have focused on addressing these issues, using techniques, including traditional machine learning models. In this paper, we investigate the performance of three different ensemble learning techniques: bagging-based, boosting-based, and stacking-based. Their results are compared to those of three traditional machine learning techniques, namely K nearest neighbor, decision tree, and Naive Bayes. To train, evaluate, and test the proposed methods. We used the benchmark of CICDDos 2019 that consists of several DDoS attacks. Two feature selection techniques are used to identify the most important features. The performance evaluation is based on the probability of detection, probability of false alarm, probability of miss detection, and accuracy. The simulation results show that the stacking-based ensemble learning techniques outperform the other algorithms in terms of the four-evaluation metrics.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134451939","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: 23

Area Division Cluster-based Algorithm for Data Collection over UAV Networks 基于区域划分聚类的无人机网络数据采集算法

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491898

Khedidja Medani, Houssem Guemer, Z. Aliouat, S. Harous

{"title":"Area Division Cluster-based Algorithm for Data Collection over UAV Networks","authors":"Khedidja Medani, Houssem Guemer, Z. Aliouat, S. Harous","doi":"10.1109/EIT51626.2021.9491898","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491898","url":null,"abstract":"In this paper, we consider the unmanned aerial vehicles (UAVs) as mobile sensors with flying ability to provide a timely and accurate vision over a large supervised area. The interconnection of these UAVs, in order to route the collected data to the control station on the ground, constitutes the flying ad hoc network (FANET). However, the UAVs features impose challenging issues to data collection and routing. Thus, the communications are prone to high-frequency link disconnections caused by the high mobility of UAVs. In this paper, we propose a reliable architecture to collect and route data to a ground station (GS). The proposed simple area division cluster-based algorithm (SAD-CA) provides a stable network architecture through the clustering technique in order to deal with the high mobility of the UAVs while preserving their energy consumption. The performance evaluation of the proposed algorithm, carried out using the network simulator 3 (NS3), has shown convincing results, in terms of energy consumption and network lifetime, outperforming those exhibited by the referred protocol.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127975289","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

Evaluation of Deep Learning Neural Networks with Input Processing for Bearing Fault Diagonosis 带输入处理的深度学习神经网络在轴承故障诊断中的评价

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491871

Yuanyang Cai, Lizhe Tan, Junngan Chen

引用次数: 2

An Evaluation of RFID Security Systems and their Effectiveness RFID安全系统的评估及其有效性

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491901

Jeremy Ketterer, M. Chowdhury

{"title":"An Evaluation of RFID Security Systems and their Effectiveness","authors":"Jeremy Ketterer, M. Chowdhury","doi":"10.1109/EIT51626.2021.9491901","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491901","url":null,"abstract":"Radio Frequency Identification has tremendous potential when applied to security systems. From anti-theft to physical access, the technology has been applied in numerous ways to both enhance existing systems and become the core component of brand-new ones. While not foolproof, the application of RFID in security systems is seen worldwide, and for good reason. The versatility of RFID is a key factor when considering the widespread use of the technology in various security systems. Passive and active tags provide functionalities that only increase the overall effectiveness of the technology. The ability to make both tags and readers mobile provides a flexibility that makes the technology even more popular. Cost is another major benefit when utilizing RFID for a security system. Tags can be produced for pennies on the dollar, allowing system designers to attach tags to an enormous number of objects or products. Keeping costs down not only allows for higher expansion, but a lower initial cost when installing a new system. This paper discusses the definition and history of RFID, as well as a detailed background on the technology and how it works.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128406021","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

CB/PDMS Based Strain Gauge Using 3D Printed Mold 使用3D打印模具的CB/PDMS应变计

2021 IEEE International Conference on Electro Information Technology (EIT) Pub Date : 2021-05-14 DOI: 10.1109/EIT51626.2021.9491899

B. Liu, A. K. Bose, X. Zhang, Z. Zhang

引用次数: 3