2021 5th International Conference on Internet of Things and Applications (IoT)最新文献

MRMC-CAN: A Method to Improve Real-Timeness and Response Time of CAN MRMC-CAN:一种提高CAN实时性和响应时间的方法

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469716

Ismail Ghodsollahee, Yasser Sedaghat

引用次数: 1

Scalability Analysis of a LoRa Network Under Co-SF and Inter-SF Interference in Large-scale IoT Applications 大规模物联网应用中Co-SF和Inter-SF干扰下LoRa网络的可扩展性分析

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469719

Saleh Mohammadi, G. Farahani

引用次数: 1

An IoT-Fog-Cloud Framework for Demand Side Management in Smart Grid 面向智能电网需求侧管理的物联网-雾云框架

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469712

Yasin Boloorchi, S. Azizi

引用次数: 0

A New Fast Framework for Anonymizing IoT Stream Data 一种新的物联网流数据匿名快速框架

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469718

Ali Reza Sadeghi Nasab, H. Ghaffarian

引用次数: 2

A Decentralized Method for Detecting Clone ID Attacks on the Internet of Things 一种分散的物联网克隆ID攻击检测方法

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469723

Saeid Rafiei Taghanaki, Shohreh Behnam Arzandeh, Ali Bohlooli

引用次数: 3

The role of the Internet of Things in the Educational System during the Corona Pandemic 冠状病毒大流行期间物联网在教育系统中的作用

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469606

M. K. Moridani

{"title":"The role of the Internet of Things in the Educational System during the Corona Pandemic","authors":"M. K. Moridani","doi":"10.1109/IoT52625.2021.9469606","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469606","url":null,"abstract":"One of the biggest consequences of the Coronavirus outbreak in Iran and the world was universities and schools’ closure. The threat of closure of educational institutions turned it into a golden opportunity to use the Internet of Things to learn and progress. This paper aims to compare traditional education and IoT-based education in learning and student participation in the classroom. A questionnaire was prepared and distributed among students participating in both educational systems to conduct this descriptive study. The data extracted from 400 returned questionnaires were analyzed using descriptive and analytical statistical methods using SPSS and MATLAB software. The paper results showed that the scores obtained by students in IoT-based tests were higher than traditional tests. The percentage of students’ attendance and participation in the classroom in the IoT-based education system showed a considerable increase. The midterm exam scores, homework scores, online and quizzes, the final exam for the IoT-based and traditional education system was 2.39 ± 0.51, 2.02 ± 0.78, 2.50± 0.44, 5.20 ± 1.86 and 1.69 ± 0.83, 1.18 ± 1.05, 1.55±0.63, 3.70 ± 2.26 respectively. Statistical analysis of the results showed a significant difference in the scores of students who participated in the IoT-based educational system from students who traditionally participated in classes (P <0.05). Given the brilliant results of using IoT-based education and also some of the advantages of traditional education, it can be concluded that the combination of the two education systems can cover the weaknesses of IoT-based and traditional education methods, and students can benefit from IoT-based and traditional training at the same time.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132975626","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

Multi-objective Smart Distribution Network Operation Considering Demand Response Programming 考虑需求响应规划的多目标智能配电网运行

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469709

Mohammad Ali Lasemi, Foad Najafi, A. Arabkoohsar

{"title":"Multi-objective Smart Distribution Network Operation Considering Demand Response Programming","authors":"Mohammad Ali Lasemi, Foad Najafi, A. Arabkoohsar","doi":"10.1109/IoT52625.2021.9469709","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469709","url":null,"abstract":"The experience of deploying Smart Grids in many countries has shown that it has many economic and environmental advantages such as reducing greenhouse emissions, increasing network stability, merging distributed generations into power systems, and many more. In this paper, a novel optimization model for the operation of smart grids is proposed. It is introduced as a multi-objective optimization problem considering two main goals, including the minimization of operation costs and the maximization of the power quality under a day-ahead market perspective. To reach these goals, reducing power losses in transmission lines, and minimizing the cost of the energy transmitted from the upstream network as well as voltage deviation are considered as objectives function of the proposed model. These two conflicting objective functions are then summed up through the Weighted Sum Method (WSM) to create a single objective function to reduce the operational cost and increase the power quality in the Smart Grid simultaneously. Moreover, renewable energy resources such as wind turbines and photovoltaic arrays, and demand response programming are raised in the model. To evaluate the effectiveness of the proposed model, it has been tested on IEEE 33 bus system by using GAMS software. The simulation results show the benefits and efficiency of the proposed model.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117088034","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

Sensing, Wireless Transmission, and Smart Processing of Heart Signals 心脏信号的传感、无线传输和智能处理

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469710

Erfan mansoori, Alireza Siavashi, M. Majidi

{"title":"Sensing, Wireless Transmission, and Smart Processing of Heart Signals","authors":"Erfan mansoori, Alireza Siavashi, M. Majidi","doi":"10.1109/IoT52625.2021.9469710","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469710","url":null,"abstract":"In recent years, by increasing the number of epidemics, the concept of telemedicine and its combination with the Internet of Things (IoT), has become a more prominent subject in engineering. The purpose of this study is to implement an IoT system that can sense the heart signal and detect the arrhythmia in a heartbeat by using smart signal processing and send them through the internet to a relative of the patient or doctor. In this system, Electrocardiogram (ECG) signals are received by electrodes and sent to the AD8232 chip. Then, by connecting to the ESP32 module, information through the Wi-Fi network and Message Queuing Telemetry Transport (MQTT) protocol, is sent to the broker created on Raspberry Pi. Then, using Python and through the Decision Tree algorithm, the heartbeat’s performance is evaluated as a smart process. The accuracy of the algorithm in detecting arrhythmias is over 95%. Finally, with an android application and through the TCP/IP protocol, the health or arrhythmia of the heartbeat will be informed on the doctor’s or one of the patient’s relative’s cell phone, and its real-time display will be provided. Also, the possibility of sending a command from a mobile to the broker has been provided.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128589355","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

Anomaly detection in Internet of Things using feature selection and classification based on Logistic Regression and Artificial Neural Network on N-BaIoT dataset 基于N-BaIoT数据集的Logistic回归和人工神经网络特征选择与分类的物联网异常检测

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469605

Fereshteh Abbasi, M. Naderan, Seyed Enayatallah Alavi

{"title":"Anomaly detection in Internet of Things using feature selection and classification based on Logistic Regression and Artificial Neural Network on N-BaIoT dataset","authors":"Fereshteh Abbasi, M. Naderan, Seyed Enayatallah Alavi","doi":"10.1109/IoT52625.2021.9469605","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469605","url":null,"abstract":"According to the paradigm of the Internet of Things (IoT), physical devices are connected to each other and to the Internet such that they operate automatically. One of the major challenges in the IoT is to detect and prevent intruders into the network and devices, a challenge that traditional solutions of Intrusion Detection Systems (IDS) are not responsive for it or at least not very efficient to use in IoT. In this article, we address the problem of using machine learning methods for anomaly detection and two methods for feature extraction and classification are proposed. The first method is feature extraction and classification using Logistic Regression (LR) and the second method is to use an Artificial Neural Network (ANN) for classification. To evaluate the performance of the proposed method, the N_BaIoT dataset, which consists of data samples related to nine devices IoT and several attacks is used according to a number of criteria for evaluating the performance of the proposed methods. Simulation results in comparison with other four deep learning methods in terms of F1-score and precision show that using logistic regression, is more efficient and the highest classification accuracy (equivalent to 99.98%) can be achieved.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133720076","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: 19

Information Gathering of Earthquake Disasters by Mobile Crowd Sourcing in Smart Cities 基于智慧城市移动众包的地震灾害信息采集

2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469600

H. Vahdat-Nejad, Hamid Bahadori, Ali Abiri

{"title":"Information Gathering of Earthquake Disasters by Mobile Crowd Sourcing in Smart Cities","authors":"H. Vahdat-Nejad, Hamid Bahadori, Ali Abiri","doi":"10.1109/IoT52625.2021.9469600","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469600","url":null,"abstract":"Natural disasters such as earthquakes have always threatened and victimized the lives of humans and other creatures. After each earthquake, the environmental conditions change and various information is required to carry out the rescue operation. A major part of this information cannot be obtained from the knowledge that had already existed about the disaster area. However, the disaster management organizations as well as rescue teams need comprehensive information in the shortest possible time to be able to operate. Given the progress of Internet of Things and ubiquity of smartphones, it is possible to obtain this comprehensive information in the shortest time through crowd sourcing. In this article, the requirement analysis of the earthquake information gathering system has been performed. The requirements are generally classified into 4 groups including victims, facilities and livelihood, security and health, and maps. Afterwards, a layered architecture is designed for the earthquake information gathering system, which includes 4 layers including sensing, fog, cloud and application. The scenario-based approach validates that the proposed architecture satisfies the identified requirements. Finally, as selfish users could corrupt the whole information of crowd sourcing systems, a simulation reveals that the system is able to detect and eliminate these users.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"474 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114350566","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: 3