2019 IEEE 17th International Conference on Industrial Informatics (INDIN)最新文献_第8页

Design and Application of a Domain Specific Modeling Language for Distributed Co-Simulation 面向分布式协同仿真的领域特定建模语言设计与应用

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972116

M. Krammer, M. Benedikt

{"title":"Design and Application of a Domain Specific Modeling Language for Distributed Co-Simulation","authors":"M. Krammer, M. Benedikt","doi":"10.1109/INDIN41052.2019.8972116","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972116","url":null,"abstract":"Co-simulation is considered as a state-of-the-art methodology in many industrial domains. It enables virtual system development in distributed, multi-tiered environments, like the automotive industry. The Distributed Co-Simulation Protocol (DCP) is a novel specification of an application layer communication protocol. It is standardized next to the well-established Functional Mock-Up Interface (FMI). The DCP specification addresses design and behaviour of single DCP slaves, as main components of larger, possibly distributed, co-simulation scenarios. At this point in time, no tailor-made solution for convenient description of distributed co-simulation scenarios is available. This paper presents a first version of DCPML, a domain specific modeling language for distributed co-simulation scenarios. It is based on three layers of integration and contributes to development efficiency by following a front-loading approach. It is designed as a UML profile, extending existing visual notation languages like UML and SysML. The language can be used for design, communication, and preparation for execution, of distributed co-simulation scenarios. For demonstration purposes, it is implemented in an industry relevant systems engineering tool. DCPML models can be used to import and export XML data, representing DCP slave and scenario descriptions. A typical demonstrator from the automotive domain is shown. It highlights a tool implementation and the capabilities of DCPML.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122446874","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

A scalable approach for periodic traffic scheduling in IEEE 802.15.4-DSME networks IEEE 802.15.4-DSME网络中周期性流量调度的可扩展方法

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972059

Filippo Battaglia, M. Collotta, Luca Leonardi, L. L. Bello, Gaetano Patti

引用次数: 6

An Availability Metric and Optimization Algorithms for Simultaneous Coverage of Targets and Areas by Wireless Visual Sensor Networks 无线视觉传感器网络同时覆盖目标和区域的可用性度量和优化算法

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972176

D. G. Costa, Elivelton O. Rangel, J. P. J. Peixoto, Thiago C. Jesus

{"title":"An Availability Metric and Optimization Algorithms for Simultaneous Coverage of Targets and Areas by Wireless Visual Sensor Networks","authors":"D. G. Costa, Elivelton O. Rangel, J. P. J. Peixoto, Thiago C. Jesus","doi":"10.1109/INDIN41052.2019.8972176","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972176","url":null,"abstract":"The maturation of Wireless Visual Sensor Networks (WVSN) in the last years, with new communication technologies and continuous releasing of embedded hardware development platforms, has significantly enlarged the number and relevance of visual monitoring applications, better supporting smart city and Internet of Things initiatives. However, there are still several challenges to be addressed, especially when visual sensors are used for critical monitoring. When availability issues are addressed in WVSN, different metrics and algorithms can be employed, but such approaches are usually focused on a single coverage goal. Actually, some monitoring applications may want to simultaneously optimize coverage over targets and areas alike, which requires an appropriate perception of the level of availability of the application at any given time. In this context, this article proposes a new availability metric for WVSN, considering that all targets and areas should be optimally and simultaneously covered by the cameras. In addition, optimization algorithms are proposed and compared, aiming at improving the availability of applications when rotatable visual sensors are employed.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117045508","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

A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases 阿尔茨海默病的疾病进展建模技术综述

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972091

Xulong Wang, J. Qi, Yun Yang, Po Yang

{"title":"A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases","authors":"Xulong Wang, J. Qi, Yun Yang, Po Yang","doi":"10.1109/INDIN41052.2019.8972091","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972091","url":null,"abstract":"Modeling and predicting progression of chronic diseases like Alzheimer's disease (AD) has recently received much attention. Traditional approaches in this field mostly rely on harnessing statistical methods into processing medical data like genes, MRI images, demographics, etc. Latest advances of machine learning techniques grant another chance of training disease progression models for AD. This trend leads on exploring and designing new machine learning techniques towards multi-modality medical and health dataset for predicting occurrences and modeling progression of AD. This paper aims at giving a systemic survey on summarizing and comparing several mainstream techniques for AD progression modeling, and discuss the potential and limitations of these techniques in practical applications. We summarize three key techniques for modeling AD progression: multi-task model, time series model and deep learning. In particular, we discuss the basic structural elements of most representative multi-task learning algorithms, and analyze a multi-task disease prediction model based on longitudinal time. Lastly, some potential future research direction is given.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116137069","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

Efficient State Update Exchange in a CPS Environment for Linked Data-based Digital Twins 基于关联数据的数字孪生的CPS环境中的高效状态更新交换

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972284

Andrii Berezovskyi, R. Inam, Jad El-khoury, Martin Törngren, E. Fersman

引用次数: 1

Integration Challenges for the Deployment of a Multi-Stage Zero-Defect Manufacturing Architecture 多阶段零缺陷制造体系结构部署的集成挑战

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972259

G. Angione, C. Cristalli, J. Barbosa, P. Leitão

引用次数: 7

Distributed Energy Resource Adoption for Campus Microgrid 校园微电网的分布式能源采用

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972054

Zheng Ma, Magnus Værbak, Rune Rasmussen, B. Jørgensen

引用次数: 6

Granulometric Analysis of Fertilizers by Digital Image Processing 数字图像处理的肥料粒度分析

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972140

J. Mendonça, Marta Duarte, V. Coch, E. Estrada, Ricardo Rodrigues, S. Botelho

引用次数: 2

Minimizing Age of Information for Real-Time Monitoring in Resource-Constrained Industrial IoT Networks 在资源受限的工业物联网网络中最小化实时监控的信息年龄

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972306

Qian Wang, H. Chen, Yonghui Li, Zhibo Pang, B. Vucetic

{"title":"Minimizing Age of Information for Real-Time Monitoring in Resource-Constrained Industrial IoT Networks","authors":"Qian Wang, H. Chen, Yonghui Li, Zhibo Pang, B. Vucetic","doi":"10.1109/INDIN41052.2019.8972306","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972306","url":null,"abstract":"This paper considers an Industrial Internet of Thing (IIoT) system with a source monitoring a dynamic process with randomly generated status updates. The status updates are sent to an designated destination in a real-time manner over an unreliable link. The source is subject to a practical constraint of limited average transmission power. Thus, the system should carefully schedule when to transmit a fresh status update or retransmit the stale one. To characterize the performance of timely status update, we adopt a recent concept, Age of Information (AoI), as the performance metric. We aim to minimize the long-term average AoI under the limited average transmission power at the source, by formulating a constrained Markov Decision Process (CMDP) problem. To address the formulated CMDP, we recast it into an unconstrained Markov Decision Process (MDP) through Lagrangian relaxation. We prove the existence of optimal stationary policy of the original CMDP, which is a randomized mixture of two deterministic stationary policies of the unconstrained MDP. We also explore the characteristics of the problem to reduce the action space of each state to significantly reduce the computation complexity. We further prove the threshold structure of the optimal deterministic policy for the unconstrained MDP. Simulation results show the proposed optimal policy achieves lower average AoI compared with random policy, especially when the system suffers from stricter resource constraint. Besides, the influence of status generation probability and transmission failure rate on optimal policy and the resultant average AoI as well as the impact of average transmission power on the minimal average AoI are unveiled.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122112875","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: 20

IIoT-based Fatigue Life Indication using Augmented Reality 基于iiot的增强现实疲劳寿命指示

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) Pub Date : 2019-07-01 DOI: 10.1109/INDIN41052.2019.8972114

Mohamed Khalil, C. Bergs, T. Papadopoulos, R. Wüchner, K. Bletzinger, M. Heizmann

引用次数: 9