2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)最新文献_第2页

Broadband Printed Dipole Antennas 宽带印刷偶极子天线

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795826

R. P. Ghosh, B. Gupta

引用次数: 0

Efficient Simulation of Variable-Speed Diesel-Engine Generators Using Constant-Parameter Voltage-Behind-Reactance Formulation 用恒参数电抗后电压公式高效模拟变速柴油机发电机

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795810

Erfan Mostajeran, Arash Safavizadeh, S. Ebrahimi, J. Jatskevich

引用次数: 0

Convolutional Neural Network Structure to Detect and Localize CTC Using Image Processing 基于图像处理的卷积神经网络结构检测和定位CTC

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795734

Shorouq Al-Eidi, Omar A. Darwish, G. Husari, Y. Chen, M. Elkhodr

{"title":"Convolutional Neural Network Structure to Detect and Localize CTC Using Image Processing","authors":"Shorouq Al-Eidi, Omar A. Darwish, G. Husari, Y. Chen, M. Elkhodr","doi":"10.1109/iemtronics55184.2022.9795734","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795734","url":null,"abstract":"Many cybersecurity attacks utilize Covert Timing Channels as a method to secretly transmit (steal) sensitive information from target networks such as untrusted Internet of Things (IoT) and 5G/6G networks. Such attacks aim to violate the confidentiality and privacy of the data that resides in the targeted networks by transmitting the stolen information in a stealth manner over a prolonged period of time to avoid detection by cyber defenses and anti-exfiltration tools.In this work, we proposed a novel approach that utilize novel Artificial Intelligence (AI) algorithms, in particular, deep learning to detect and localize covert channels over cyber networks. Taking advantage of the rapidly improving deep learning algorithms in image processing, we convert the malicious and normal network traffic (or packets) inter-arrival times to colored images. Then, we implement an AI-based approach using the popular deep learning algorithm Convolutional Neural Network (CNN) to process images and detect the ones that contain malicious CTC activities. Finally, we design and conduct a set of experiments to evaluate the ability of our proposed system to detect and localize CTC-based privacy attacks. The conducted experiments show that our approach yielded a high accuracy of 96.75% in detecting stealth covert channels.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130817000","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

Intelligent Feature Selection on Multivariate Dataset using Advanced Data Profiling 基于高级数据分析的多元数据集智能特征选择

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795745

Ritu Chaturvedi, Vandana V. Patnaik

{"title":"Intelligent Feature Selection on Multivariate Dataset using Advanced Data Profiling","authors":"Ritu Chaturvedi, Vandana V. Patnaik","doi":"10.1109/iemtronics55184.2022.9795745","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795745","url":null,"abstract":"The differential diagnosis of diseases which share similar clinical features is a real and difficult problem in medicine. This paper demonstrates the use of data mining (DM) techniques to augment standard data profiling methods and establishes an efficient approach for an intelligent feature selection method for disease that share similar features. The results from experiments returned show that by using DM techniques to select features as an additional layer on top of data profiling, there is considerable improvement in the performance of the prediction model built to predict a disease such as \"Psoriasis\". A brief comparison between features selected by existing mining tools such as Weka and the proposed approach with respect to predictive accuracy is recorded in this paper. The proposed algorithm works as a promising tool for assisting diagnosis of disease like erythemato-squamous diseases, where the symptoms are overlapping. By combining data cleansing and knowledge discovery techniques, the algorithm aims to be \"agnostic\" and can be used on a wide variety of data standards with variable data quality. 1","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133610029","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

Mechanical and Electronic Design of a Prototype of a Modular Exoskeleton for Lower-Limbs 一种模块化下肢外骨骼原型的机械与电子设计

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795712

Yerson Taza-Aquino, Deyby Huamanchahua

{"title":"Mechanical and Electronic Design of a Prototype of a Modular Exoskeleton for Lower-Limbs","authors":"Yerson Taza-Aquino, Deyby Huamanchahua","doi":"10.1109/iemtronics55184.2022.9795712","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795712","url":null,"abstract":"In many countries, the rehabilitation of partial disability of the lower limbs performs the process traditionally due to the high cost of implementing physiotherapy and rehabilitation centers with robotic devices. Therefore, the primary motivation of this work is to propose the first design of an exoskeleton with adjustable links that can be adapted depending on the height of the user, muscle sensors (EMG) and position are used to achieve a better response of the patient's intention of movement and thus achieve rehabilitation of the legs. The exoskeleton in question was designed using the VDI 2206 methodology, and this work presents a proposal for mechanical and electronic design with the ability to withstand the user's weight. A study of stress analysis and simulation of the electronic circuit was carried out. The electronic circuit was simulated in the Proteus software, where the correct interaction of the sensors with the motors is achieved. The results obtained show that the design of the proposed exoskeleton manages to support the weight of a person of 75 Kg with a maximum height of 170 cm. These results were obtained after being subjected to the design of the exoskeleton to the stress analysis in the SolidWorks software. Another feature of the exoskeleton design is its low weight because the material chosen is aluminum alloy 6061 T-6, which can withstand all stress tests.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132205380","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

An Optimum Sizing for a Hybrid Storage System in Solar Water Pumping Using ICA 基于ICA的太阳能抽水混合蓄能系统的最优规模

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795848

Amirhossein Jahanfar, M. Iqbal

引用次数: 3

Machine learning Models to Predict COVID-19 Cases 预测COVID-19病例的机器学习模型

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795797

Ghadah Alshabana, Thao Tran, Marjan Saadati, Michael Thompson George, Ashritha Chitimalla

引用次数: 0

A Machine Learning Approach for the Early Detection of Dementia 一种用于早期检测痴呆症的机器学习方法

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795717

S. Broman, E. O'Hara, M. Ali

{"title":"A Machine Learning Approach for the Early Detection of Dementia","authors":"S. Broman, E. O'Hara, M. Ali","doi":"10.1109/iemtronics55184.2022.9795717","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795717","url":null,"abstract":"Longer life spans in today's society have contributed to the growth of degenerative disease prevalence, especially dementia. Dementia causes a deterioration in thought process and a decline in cognitive function, specifically thinking, reasoning, and remembering. While dementia cannot be completely prevented, its early detection can delay the onset of the disease. With the help of a machine learning algorithm, relevant attributes to detect the disease in its early stages can be refined and successful predictions can be made. To conduct this analysis, the Alzheimer Features and Exploratory Data Analysis for Predicting Dementia datasets were utilized. The following machine learning models were applied to the dataset: Naïve Bayes, Decision Trees, K-Nearest Neighbors, and Fully Connected Neural Networks. After evaluation of accuracy scores, confusion matrices for both Naïve Bayes and Decision Trees were determined to provide the best results among the models. While further investigation with a larger dataset is necessary, such models suggest that machine learning algorithms are a promising tool to detect and mitigate the growth of dementia in older populations.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114435938","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

Multilayer Aperture Coupled Single Band Second Order Bandpass Patch Resonator 多层孔径耦合单波段二阶带通贴片谐振器

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795731

K. Mohan, Yogesh Kumar Choukiker

引用次数: 0

Envisioning A Light-Based Quantum-Computational Nano-Cyborg 设想一种基于光的量子计算纳米机器人

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795762

Pravir Malik

{"title":"Envisioning A Light-Based Quantum-Computational Nano-Cyborg","authors":"Pravir Malik","doi":"10.1109/iemtronics55184.2022.9795762","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795762","url":null,"abstract":"By viewing light as a symmetrical, multi-layered construct, it is possible to envision a new genre of nano-cyborgs. In general cyborgs can be considered as a portmanteau of cybernetic and organic, and therefore as an entity consisting of both organic and mechatronic parts. However, in the multi-layered model of light subtle information existing in antecedent layers of light can be thought of as materializing through a process of quantization, that subsequently would require a nano-cyborg to interface with it, make sense of it, and act on it. Further quantum-level dynamics would necessitate nano-cyborgs of a tunneling type, annealing type, superposition type, and entanglement type, amongst others, that would have practical applications at nano-levels of different granularity. Such nano-cyborgs are envisioned to be built leveraging computational stratum at different levels of granularity ranging from the electromagnetic level, to the quantum particle level, to the level of atoms, to the level of molecular plans in cells. Immediate application areas of such light-based quantum-computational nano-cyborgs are envisioned to be in medical technology, material sciences, and alteration of genetic-type information, amongst others.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123418443","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