2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)最新文献_第4页

Analyzing Credit Card Fraud Detection based on Machine Learning Models 基于机器学习模型的信用卡欺诈检测分析

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795737

Raghad Almutairi, Abhishek Godavarthi, Arthi Reddy Kotha, Ebrima N. Ceesay

{"title":"Analyzing Credit Card Fraud Detection based on Machine Learning Models","authors":"Raghad Almutairi, Abhishek Godavarthi, Arthi Reddy Kotha, Ebrima N. Ceesay","doi":"10.1109/iemtronics55184.2022.9795737","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795737","url":null,"abstract":"Credit card use is not always the best way to use for payments, but the most demonstrable payment mode is through the credit card for both offline as well as for online payments, which can result in deficit of funds. As the online shopping is booming it helps in rendering the cashless payment modes. It can be used at shopping’s, paying rent, paying utilities bill, internet bill, travel and transportation, entertainment, food. Using for all these things there is a chance of fraud transactions for a credit card, hence there is more risk. There are many types of fraudulent detections most of the banks and institutions are preferring fraud detection applications.it has become very hard to find out the fraud detections, After the transaction is done there is a chance of detecting fraudulent transactions in the manual business processing system. In real time the bunco transactions are done with real transactions, but it seems not to be sufficient for detecting [1]. Machine learning and data science both are playing a very important role in identifying the fraud detections. This study uses data science and machine learning for detecting the fraud detection to demonstrate various modellings. The problem enables the transactions of the previously done transaction data.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"38 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":"125171888","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

Knee and Ankle Exoskeletons for Motor Rehabilitation: A Technology Review 膝关节和踝关节外骨骼用于运动康复:技术综述

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795725

Deyby Huamanchahua, Cesar Luciano Otarola-Ruiz, Ana Quispe-Pina, Elvis J. De La Torre-Velarde

{"title":"Knee and Ankle Exoskeletons for Motor Rehabilitation: A Technology Review","authors":"Deyby Huamanchahua, Cesar Luciano Otarola-Ruiz, Ana Quispe-Pina, Elvis J. De La Torre-Velarde","doi":"10.1109/iemtronics55184.2022.9795725","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795725","url":null,"abstract":"Exoskeletons have been around since 1890 when a passive device was developed to assist movement. Although the exoskeleton initially focused on the whole body, it has become increasingly focused on a more specific area, which makes rehabilitation work more feasible and, consequently, less costly. Therefore, the purpose of the article is to present a systematic review of trends in the technical area of knee and ankle exoskeletons for rehabilitation purposes. The objective is to provide the interested researcher with a structured matrix that integrates essential components and mechanisms in the development of knee and ankle exoskeletons. As a methodology, specialized databases in biomechanics were used that aided in the collection of research conducted between 2019 and 2022. The filtering process resulted in the selection of 37 investigations. Finally, it was concluded that innovations in exoskeletons contribute to patient rehabilitation and that there is still room for further improvement in the implementation of projects on a commercial scale and the development of new exoskeletons based on previous research.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"32 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":"126962018","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 Monitoring System for Respiratory Diagnosis 呼吸诊断监测系统的设计

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795832

Kamran Hameed, Sana Ijlal Shahrukh, I. S. Ateeq

引用次数: 0

IoT Devices Proximity Authentication In Ad Hoc Network Environment Ad Hoc网络环境下的物联网设备近距离认证

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795787

A. A. AlQahtani, Hosam Alamleh, Baker Al Smadi

引用次数: 5

A High Gain Cascaded DC-DC Boost Converter for Electric Vehicle Motor Controller and Other Renewable Energy Applications 用于电动汽车电机控制器和其他可再生能源应用的高增益级联DC-DC升压变换器

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795806

Md. Rezanul Haque, K. Salam, Md. Abdur Razzak

引用次数: 4

FPGA Implementation of Phase Recovery Technique for Complex Transforms 复变换相位恢复技术的FPGA实现

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795837

P. Bhaskar, S. Yuvaraj, P. Palanisamy, R. Thilagavathy

{"title":"FPGA Implementation of Phase Recovery Technique for Complex Transforms","authors":"P. Bhaskar, S. Yuvaraj, P. Palanisamy, R. Thilagavathy","doi":"10.1109/iemtronics55184.2022.9795837","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795837","url":null,"abstract":"The ECG signals are one of the most important signals to check the human heart’s condition. On monitoring the heart continuously, a large amount of ECG signal data will be produced. So, there is a need for efficient compression techniques. Discrete Anamorphic Stretch Transform (DAST) is one of the most efficient techniques. It is a one-dimensional complex transform that includes the phase recovery technique for recovering the phase from the magnitudes. This paper deals with implementing the phase recovery block in Field Programmable Gate Array (FPGA), which will recover the phase by using magnitudes. Phase recovery block plays a key role in reconstructing the phases from the magnitudes. First, the required signal is passed through the linear filter or phase recovery filter. Then the phase value is estimated using a noniterative algorithm depending on the linearity and causality conditions. The new approach for the phase recovery block is also used for any complex signal transmission. The input ECG signal is taken from the MIT-BIH Arrhythmia database and implementation is carried out in Artix-7 NEXYS 4 DDR FPGA Board. The performance of the phase recovery block is quantified in terms of hardware and computational complexity.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"49 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":"132970439","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

A Review of Cognitive Dynamic Systems and Cognitive IoT 认知动态系统与认知物联网研究进展

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795834

Alessandro Giuliano, W. Hilal, Naseem Alsadi, S. Gadsden, J. Yawney

引用次数: 3

Provision of Information and Detection Systems on Two-Wheeled Motorcycle Accidents 提供两轮电单车意外资料及侦测系统

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795807

Andi Nur Faisal, Amil Ahmad Ilham, Syafaruddin

引用次数: 0

Detection and analysis types of DDoS attack DDoS攻击类型检测与分析

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795729

E. Navruzov, A. Kabulov

{"title":"Detection and analysis types of DDoS attack","authors":"E. Navruzov, A. Kabulov","doi":"10.1109/iemtronics55184.2022.9795729","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795729","url":null,"abstract":"The problem of detecting types of DDOS attacks in large-scale networks is considered. The complexity of detection is explained by the presence of a large number of connected and diverse devices, the high volume of incoming traffic, the need to introduce special restrictions when searching for anomalies. The technology of developing information security models using data mining (DM) methods is proposed. The features of machine learning of DM algorithms are related to the choice of methods for preprocessing big data (Big Data). A technique for analyzing the structure of relations between types of DDOS attacks has been developed. Within the framework of this technique, a procedure for pairwise comparison of data by types of attacks with normal traffic is implemented. The result of the comparison is the stability of features, the values of which are invariant to the measurement scales. The analysis of the structure of relations by grouping algorithms was carried out according to the stability values on the determined sets of features. When forming the sets, the stability ranking was used. For classification, various existing methods of machine learning are analyzed.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"30 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":"115280435","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: 13

A Review of Cognitive Dynamic Systems and Its Overarching Functions 认知动力系统及其总体功能综述

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795764

W. Hilal, Alessandro Giuliano, S. Gadsden, J. Yawney

引用次数: 1