2020 IEEE International Conference on Smart Internet of Things (SmartIoT)最新文献

New Method of Traffic Flow Forecasting Based on QPSO Strategy for Internet of Vehicles 基于QPSO策略的车联网交通流预测新方法

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00024

De-gan Zhang, Jing-yu Du, Ting Zhang, Hong-rui Fan

引用次数: 1

Learning IoT: Basic Experiments of Home Automation using ESP8266, Arduino and XBee 学习物联网:使用ESP8266, Arduino和XBee的家庭自动化基础实验

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00051

Annisa Sarah, Theresia Ghozali, Geraldo Giano, M. Mulyadi, Sandra Octaviani, A. Hikmaturokhman

引用次数: 14

Mediating Data Trustworthiness by Using Trusted Hardware between IoT Devices and Blockchain 通过在物联网设备和区块链之间使用可信硬件来中介数据可信度

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00056

Batnyam Enkhtaivan, Akiko Inoue

{"title":"Mediating Data Trustworthiness by Using Trusted Hardware between IoT Devices and Blockchain","authors":"Batnyam Enkhtaivan, Akiko Inoue","doi":"10.1109/SmartIoT49966.2020.00056","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00056","url":null,"abstract":"In recent years, with the progress of data analysis methods utilizing artificial intelligence (AI) technology, concepts of smart cities collecting data from IoT devices and creating values by analyzing it have been proposed. However, making sure that the data is not tampered with is of the utmost importance. One way to do this is to utilize blockchain technology to record and trace the history of the data. Park and Kim proposed ensuring the trustworthiness of the data by utilizing an IoT device with a trusted execution environment (TEE). Also, Guan et al. proposed authenticating an IoT device and mediating data using a TEE. For the authentication, they use the physically unclonable function of the IoT device. Usually, IoT devices suffer from the lack of resources necessary for creating transactions for the blockchain ledger. In this paper, we present a secure protocol in which a TEE acts as a proxy to the IoT devices and creates the necessary transactions for the blockchain. We use an authenticated encryption method on the data transmission between the IoT device and TEE to authenticate the device and ensure the integrity and confidentiality of the data generated by the IoT devices.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123440922","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: 6

On Threat Analysis of IoT-Based Systems: A Survey 基于物联网的系统威胁分析综述

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00038

Wenbing Zhao, Shunkun Yang, Xiong Luo

引用次数: 8

The DevOps Reference Architecture Evaluation : A Design Science Research Case Study DevOps参考架构评估:一个设计科学研究案例研究

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00052

G. Ghantous, A. Gill

引用次数: 3

An In-class Teaching Comprehensive Evaluation Model Based on Statistical Modelling and Ensemble Learning 基于统计建模和集成学习的课堂教学综合评价模型

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00045

Ludi Bai, Zehui Yu, Shifeng Zhang, Kangying Hu, Zhan-yong Chen, Junqi Guo

{"title":"An In-class Teaching Comprehensive Evaluation Model Based on Statistical Modelling and Ensemble Learning","authors":"Ludi Bai, Zehui Yu, Shifeng Zhang, Kangying Hu, Zhan-yong Chen, Junqi Guo","doi":"10.1109/SmartIoT49966.2020.00045","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00045","url":null,"abstract":"Education is the foundation of our cities' and society's development. The realization of Smart City is inseparable from the construction of Smart Education. The development of science and technology has promoted the popularity and booming of information technology in the education field. With the rise of Smart Education, intelligent learning and evaluation have provided new ideas for in-class teaching evaluation. The model proposed in this article is based on existing multi-dimensional and multi-modal data set from in-class audio and video recognition, as well as movement perception and interaction analysis. We firstly designed a statistical model and an ensemble learning model for in-class teaching evaluation, which are based on Analytic Hierarchy Process - Entropy Weight Method and AdaBoost algorithm respectively. Then, we designed experiments to assess the performance of the proposed statistical model and ensemble learning model. Finally, we compared and selected better models through experiments in different evaluation indicators and combined them into our In-class Teaching Comprehensive Evaluation Model with outstanding performance.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130708090","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

IoT Enabled Smart Security Framework for 3D Printed Smart Home 3D打印智能家居的物联网智能安全框架

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00026

Zhihan Xu, Shuja Ansari, Amir M. Abdulghani, Muhammad Ali Imran, Q. Abbasi

{"title":"IoT Enabled Smart Security Framework for 3D Printed Smart Home","authors":"Zhihan Xu, Shuja Ansari, Amir M. Abdulghani, Muhammad Ali Imran, Q. Abbasi","doi":"10.1109/SmartIoT49966.2020.00026","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00026","url":null,"abstract":"Recently, smart home design using Internet of Things (IoT) technology has become a growing industry. Since security is the most important element of the smart home design, the project aims to design a 3D printed smart home with a focus on the security features that would meet the security design of futuristic real homes. The surveillance system of traditional smart home is separated from the door lock system. This project innovatively integrates and coordinates them through the facial recognition algorithms, which forms the entry system of this design. The overall system can be divided into two subsystems (parts), which are the sensing and actuation system (PART I) and the entry system (PART II). PART I includes various sensors and actuators to ensure the security of home, including combustible gas sensor, air quality sensor and temperature & humidity sensor. When anomalies are detected by sensors, actuators such as ventilator, buzzer and LEDs start to work. In PART II, the PIR motion sensor is utilized to detect the person to activate the facial recognition step. Facial recognition algorithm (LBPH algorithm) is implemented for person classification, which is used in selecting the duration of recording for the surveillance system. The surveillance system could select not to record for the occupants or different levels of recording for each occupant based on the confidence of recognition. The project outcomes a 3D printed smart home with a door lock system, a surveillance system, and a sensing & actuation network, which accomplishes the security features in perception and network layer of IoT system design.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126594629","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: 2

Accurate Underwater Localization Through Phase Difference 利用相位差进行水下精确定位

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00015

Qinghua Luo, Chunyu, Xiaozhen Yan, Cong Hu, Chuntao Wang, Jinfeng Ding

引用次数: 6

Shortest Path Based Trained Indoor Smart Jacket Navigation System for Visually Impaired Person 基于最短路径训练的视障人士室内智能夹克导航系统

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00041

Munmun Biswas, Tanni Dhoom, Refat Khan Pathan, Monisha Sen Chaiti

{"title":"Shortest Path Based Trained Indoor Smart Jacket Navigation System for Visually Impaired Person","authors":"Munmun Biswas, Tanni Dhoom, Refat Khan Pathan, Monisha Sen Chaiti","doi":"10.1109/SmartIoT49966.2020.00041","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00041","url":null,"abstract":"Visually impaired people face a lot of challenges in their day by day life. Due to blindness most of the time they depend on others for their daily movements. Many assistive technologies have been developed for blind people; most of them are expensive and designed in a complicated way. So in this paper, we represent a complete wearable navigation system for blind people based on the low expanse and truly subtle sensors, for example, Pi camera and Ultrasonic sensor. Live video analysis has been done to detect human faces and ultrasonic sensors are used to detect objects as obstacles. Raspberry Pi has been used as the main controller board. The indoor path has been pre-trained and saved in a database for blind assistance by voice command using Google Text To Speech (gTTS) API so that blind people can navigate independently. In an emergency, the blind person can seek help from the specific person by sending SOS short message service (SMS) through pressing an integrated button. This system has been tested continuously by both blindfolded and visually impaired people at various indoor locations. The outcome shows that it operates more efficiently than other assistive systems.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123813394","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: 2

SmartIoT 2020 Committees

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/smartiot49966.2020.00007

引用次数: 0