2020 IEEE 18th International Conference on Industrial Informatics (INDIN)最新文献_第10页

An Event-Driven MIMO Amplify-and-Forward Precoding for Cyber Physical Systems 网络物理系统的事件驱动MIMO放大和前向预编码

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442229

Fan Zhang, V. Lau, Gong Zhang

{"title":"An Event-Driven MIMO Amplify-and-Forward Precoding for Cyber Physical Systems","authors":"Fan Zhang, V. Lau, Gong Zhang","doi":"10.1109/INDIN45582.2020.9442229","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442229","url":null,"abstract":"In this paper, we consider a MIMO cyber physical system (CPS) in which a sensor amplifies and forwards the observed MIMO plant state to a remote controller via a MIMO fading channel. We focus on the MIMO amplify-and-forward (AF) precoding design at the sensor to minimize a weighted average state estimation error at the remote controller subject to an average communication power gain constraint of the sensor. The MIMO AF precoding design is formulated as an infinite horizon average cost Markov decision process (MDP). To deal with the curse of dimensionality associated with the MDP, we propose a novel continuous-time perturbation approach and derive an asymptotically optimal closed-form priority function for the MDP. Based on this, we derive a closed-form first-order optimal dynamic MIMO AF precoding solution, and the solution has an event-driven control structure. Specifically, the sensor activates the strongest eigenchannel to deliver a dynamically weighted combination of the plant states to the controller when the accumulated state estimation error exceeds a dynamic threshold. We further establish technical conditions for ensuring the stability of the MIMO CPS.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132824402","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

Robust Adaptive Formation Control of USVs with the Event-Triggered Mechanism 基于事件触发机制的usv鲁棒自适应编队控制

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442243

Guoqing Zhang, Wei Yu, Jiqiang Li

引用次数: 0

Embedding Active Asset Administration Shells in the Internet of Things using the Smart Systems Service Infrastructure 利用智能系统服务基础设施在物联网中嵌入主动资产管理外壳

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442249

S. Wein, C. Fimmers, S. Storms, C. Brecher, Marlene Gebhard, M. Schluse, J. Roßmann

{"title":"Embedding Active Asset Administration Shells in the Internet of Things using the Smart Systems Service Infrastructure","authors":"S. Wein, C. Fimmers, S. Storms, C. Brecher, Marlene Gebhard, M. Schluse, J. Roßmann","doi":"10.1109/INDIN45582.2020.9442249","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442249","url":null,"abstract":"In many sectors of the economy, modularization and linkage of distributed structures has significantly increased flexibility. Thereby, individual customer demands and changing conditions can be adressed. While this concept is often applied to closed systems whose control is coordinated by central components or can follow defined processes, concepts for the implementation in decentralized and open systems are missing. Such processes can be found in different domains of application, such as logistics, the construction industry or forestry. The use of active asset administration shells for modularized objects enables elements of a system or products to take over parts of the control and coordination. Production systems are enabled to act autonomously. A service infrastructure provides the necessary directory services to provide the asset administration shells with an entry point and to offer suitable routing services. The overall structure is demonstrated and evaluated using a representative example from forestry.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132388675","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 Integration in the Manufacturing Environment Towards Industry 4.0 Applications 面向工业4.0应用的制造环境中的物联网集成

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442161

C. Alexakos, Andreas Komninos, C. Anagnostopoulos, G. Kalogeras, A. Kalogeras

引用次数: 1

Efficient Multimedia Sensing and Computing for Smart City 面向智慧城市的高效多媒体感知与计算

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/indin45582.2020.9442345

引用次数: 0

Spatial bandwidth product expansion method by diffraction superposition for holographic display 全息显示的衍射叠加空间带宽积展开方法

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442158

Zehao He, Liangcai Cao

引用次数: 0

Informatics Methods in Internet of Things enabled Healthcare 物联网医疗保健中的信息学方法

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/indin45582.2020.9442175

引用次数: 0

Housing prices prediction with deep learning: an application for the real estate market in Taiwan 基于深度学习的房价预测:在台湾房地产市场的应用

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442244

Choujun Zhan, Zeqiong Wu, Yonglin Liu, Zefeng Xie, Wangling Chen

{"title":"Housing prices prediction with deep learning: an application for the real estate market in Taiwan","authors":"Choujun Zhan, Zeqiong Wu, Yonglin Liu, Zefeng Xie, Wangling Chen","doi":"10.1109/INDIN45582.2020.9442244","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442244","url":null,"abstract":"The housing market is increasing huge, predicting housing prices is not only important for a business issue, but also for people. However, housing price fluctuations have a lot of influencing factors. Also, there is a non-linear relationship between housing prices and housing factors. Most econometric or statistical models cannot capture non-linear relationships yet. Therefore, we propose housing price prediction models based on deep learning methods, which can capture non-linear relationships. In this work, we construct a dataset, including the housing attributes data and macroeconomic data in Taiwan from January 2013 to December 2018. The housing attributes data includes two types of housing transactions, which are “land + building” (Type1) and “land + building + park” (Type2). Macroeconomic data includes housing investment demand ratio, owner-occupier housing ratio, housing price to income ratio, housing loan burden ratio, and housing bargaining space ratio. Then, this dataset is utilized to evaluate the prediction methods based on deep learning algorithms BPNN and CNN to predict housing prices. Experimental results show that CNN with housing features has the best prediction effect. This study can be used to develop targetted interventions aimed at the housing market.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127366565","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: 5

Fault prognosis using deep convolutional neural network and bootstrap-based method 基于深度卷积神经网络和自举的故障预测方法

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442148

Cheng-Geng Huang, Hongzhong Huang, Yanfeng Li, W. Peng

{"title":"Fault prognosis using deep convolutional neural network and bootstrap-based method","authors":"Cheng-Geng Huang, Hongzhong Huang, Yanfeng Li, W. Peng","doi":"10.1109/INDIN45582.2020.9442148","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442148","url":null,"abstract":"This article develops a generalized deep convolutional neural network (DCNN)-Bootstrap-based prognostic approach for remaining useful life (RUL) prediction of rolling bearing. The proposed architecture includes two main parts: first, a hybrid DCNN model is utilized to simultaneously extract informative representations hidden in both time series-based and image-based features and predict RUL of bearing; second, the proposed hybrid DCNN model is embedded into the Bootstrap-based implementation framework for quantification of RUL prediction interval. Unlike other deep learning (DL)-based prognostic approaches, the proposed DCNN-Bootstrap method has two innovative features: first, both time series-based and image-based features of bearings, which can multi-dimensionally characterize the degradation of bearing, are comprehensively leveraged by the proposed hybrid DCNN model; second, the RUL prediction interval can be effectively quantified without relying on any bearing's physical and statistical prior information recurring to Bootstrap implementation paradigm. Moreover, the proposed approach is experimentally validated with a case study on rolling element bearings, and comparisons with other popular techniques widely employed in this field are also presented.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125436196","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

Resilience, Reliability, and Security of Smart Mobility of Connected Automated Vehicles 互联自动驾驶汽车智能移动的弹性、可靠性和安全性

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) Pub Date : 2020-07-20 DOI: 10.1109/indin45582.2020.9442120

引用次数: 0