IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society最新文献_第9页

A Brief Review on Robotic Floor-Tiling 机器人铺地技术综述

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8591123

Tianyu Liu, Huixing Zhou, Yanan Du, Junjie Zhang, Jianping Zhao, Yang Li

引用次数: 4

Adaptive Robust Position/Thrust Tracking Control of Linear Induction Motor with Unknown End-Effect 未知端效应线性感应电机位置/推力自适应鲁棒跟踪控制

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8591143

Linlin Lu, Peng Sun

引用次数: 0

Enhanced Hierarchical Control of Hybrid Energy Storage System in Microgrids 微电网混合储能系统的增强层次控制

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8591343

Xibeng Zhang, A. Ukil

引用次数: 4

Delay Dependent Robust Stability of Reset Systems 时滞相关的复位系统鲁棒稳定性

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8592747

M. Mahmoud, Bilal J. Karaki

引用次数: 3

A Behavior Profiling Model for User Authentication in IoT Networks based on App Usage Patterns 基于应用使用模式的物联网网络用户认证行为分析模型

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8592761

Yosef Ashibani, Q. Mahmoud

{"title":"A Behavior Profiling Model for User Authentication in IoT Networks based on App Usage Patterns","authors":"Yosef Ashibani, Q. Mahmoud","doi":"10.1109/IECON.2018.8592761","DOIUrl":"https://doi.org/10.1109/IECON.2018.8592761","url":null,"abstract":"Access to Internet of Things (IoT) devices is, in most cases, achieved remotely through end-user devices such as smartphones. However, these devices are susceptible to theft or loss, and their use by unauthorized users could lead to unauthorized access to IoT networks, consequently allowing access to user information. Due to the inherent weaknesses in many authentication approaches, such as knowledge-based authentication, as well as the complications involved in employing them for continuous and implicit authentication, focus has turned to a consideration of behavioral-based authentication. As most access to IoT devices is achieved through end-user devices, a variety of information can be extracted and utilized for continuous authentication without requiring further user intervention. As an example, the ability to continuously retrieve application usage profiles and sensor data on such devices strengthens the argument for employing behavioral-based mechanisms for continuous user authentication. Behavioral techniques that are user-friendly and non-intrusive can be utilized in the background to continuously and transparently verify users. This paper discusses behavioral-based authentication mechanisms with regard to security and usability. It then presents an authentication model that verifies users with an average F-measure of 96.5%. Overall, the preliminary results are promising and show the effectiveness and usability of the proposed model.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132239452","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

Remaining Useful Life Estimation of Batteries using Dirichlet Process with Variational Bayes Inference 基于变分贝叶斯推理的Dirichlet过程的电池剩余使用寿命估计

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8592767

Milutin Pajovic, P. Orlik, T. Wada

{"title":"Remaining Useful Life Estimation of Batteries using Dirichlet Process with Variational Bayes Inference","authors":"Milutin Pajovic, P. Orlik, T. Wada","doi":"10.1109/IECON.2018.8592767","DOIUrl":"https://doi.org/10.1109/IECON.2018.8592767","url":null,"abstract":"Rechargeable batteries supply numerous devices with electric power and are critical part in a variety of applications. While estimation of battery's state of charge (SoC), state of health (SoH) and state of power (SoP) have been in research focus in the past years, prediction of battery degradation has recently started to gain interest. An accurate prediction of the remaining number of charge and discharge cycles a battery can undergo before it can no longer hold charge and is declared dead, is directly related to making timely decision as to when a battery should be replaced so that power interruption of the system it supplies power to is avoided. A methodology for inferring probability distribution of the remaining number of charge-discharge cycles of a battery, based on training dataset containing measured discharge voltage waveforms of one or more batteries of similar type, is presented in this paper. The method-010gy strongly draws on modeling discharge voltage waveforms using Dirichlet Process Mixture Model framework and performs approximate inference using variational Bayes' approach. The experimental results corroborate that the proposed method is able to provide useful predictions of the remaining useful life of a battery in early stages of its life.","PeriodicalId":370319,"journal":{"name":"IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132488471","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

Attitude Trajectory Planning and Finite-Time Attitude Tracking Control for a Quadrotor Aircraft 四旋翼飞行器姿态轨迹规划与有限时间姿态跟踪控制

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8591067

Jun Zhang, Haibo Du, Wenwu Zhu, G. Wen

引用次数: 2

Solar Generation Forecasting by Recurrent Neural Networks Optimized by Levenberg-Marquardt Algorithm Levenberg-Marquardt算法优化的递归神经网络太阳能发电预测

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8591799

S. M. Awan, Z. Khan, Muhammad Aslam

引用次数: 6

A Grid Connected Photovoltaic Microinverter with Integrated Battery 集成电池并网光伏微型逆变器

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8591658

Khalil Alluhaybi, Xi Chen, I. Batarseh

引用次数: 5

Basic Study on Arrangement Design of In-Motion Charging Facility on Urban Roads 城市道路动态充电设施布置设计基础研究

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2018-10-01 DOI: 10.1109/IECON.2018.8592920

D. Gunji, Yoshiya Mukai, T. Imura, H. Fujimoto

引用次数: 3