Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819152
B. Vogel‐Heuser, Thomas Simon, J. Folmer, R. Heinrich, Kiana Rostami, Ralf H. Reussner
Both information and automated production systems (aPS) evolve during their lifetime, e.g. due to changes in requirements and infrastructure. In order to estimate maintenance effort in information systems the KAMP method is applied. This paper discusses the necessary classification of changes as a prerequisite to apply such a method. Aggravating aPS consist not only of software but also include mechanics and electric/automation hardware. Therefore, the classification has to be enlarged to a multi-disciplinary one. The limitations of this approach for aPS are discussed in detail and demonstrated using three scenarios of a lab size pick and place unit. The paper closes delivering first ideas to cope with these.
{"title":"Towards a common classification of changes for information and automated production systems as precondition for maintenance effort estimation","authors":"B. Vogel‐Heuser, Thomas Simon, J. Folmer, R. Heinrich, Kiana Rostami, Ralf H. Reussner","doi":"10.1109/INDIN.2016.7819152","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819152","url":null,"abstract":"Both information and automated production systems (aPS) evolve during their lifetime, e.g. due to changes in requirements and infrastructure. In order to estimate maintenance effort in information systems the KAMP method is applied. This paper discusses the necessary classification of changes as a prerequisite to apply such a method. Aggravating aPS consist not only of software but also include mechanics and electric/automation hardware. Therefore, the classification has to be enlarged to a multi-disciplinary one. The limitations of this approach for aPS are discussed in detail and demonstrated using three scenarios of a lab size pick and place unit. The paper closes delivering first ideas to cope with these.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116067962","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}
Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819143
T. Vafeiadis, S. Krinidis, C. Ziogou, D. Ioannidis, S. Voutetakis, D. Tzovaras
In this work, a modified version of a Slope Statistic Profile (SSP) method is proposed, capable to detect real-time incidents that occur in two interdependent time series. The estimation of incident time point is based on the combination of their linear trend profiles test statistics, computed on a consecutive overlapping data window. Furthermore, the proposed method uses a self-adaptive sliding data window. The adaptation of the size of the sliding data window is based on real-time classification of the linear trend profiles in constant and equal time intervals, according to two different linear trend scenarios, suitably adjusted to the conditions of the problem we face. The proposed method is used for the robust identification of a malfunction and it is demonstrated to real datasets from a chemical process pilot plant that is situated at the premises of CERTH / CPERI during the evolution of the performed experiments at the process unit.
{"title":"Robust malfunction diagnosis in process industry time series","authors":"T. Vafeiadis, S. Krinidis, C. Ziogou, D. Ioannidis, S. Voutetakis, D. Tzovaras","doi":"10.1109/INDIN.2016.7819143","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819143","url":null,"abstract":"In this work, a modified version of a Slope Statistic Profile (SSP) method is proposed, capable to detect real-time incidents that occur in two interdependent time series. The estimation of incident time point is based on the combination of their linear trend profiles test statistics, computed on a consecutive overlapping data window. Furthermore, the proposed method uses a self-adaptive sliding data window. The adaptation of the size of the sliding data window is based on real-time classification of the linear trend profiles in constant and equal time intervals, according to two different linear trend scenarios, suitably adjusted to the conditions of the problem we face. The proposed method is used for the robust identification of a malfunction and it is demonstrated to real datasets from a chemical process pilot plant that is situated at the premises of CERTH / CPERI during the evolution of the performed experiments at the process unit.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"486 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116191561","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}
Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819297
Anlong Ming, Hong Luo, Yanchen Ren, Zhibo Pang, K. Tsang
A smart environment system should automatically control the devices according to the sensing information and users' requirements so as to keep the environmental elements (e.g., temperature, light) within the desired range. System control with minimum power is one key issue in such a system. In this paper, we propose a multi-dimension model for system control. In this model, each environmental element is abstracted into a dimension, such that a service with conditions and targets can be formulated as a multi-dimensional service space, and a smart environment with many services may map to a comprehensive multi-dimensional service space through space computation. Based on this model, we propose a minimum power adjustment algorithm for energy-efficient scheduling in smart environment, which transforms the optimal control problem into the problem of the shortest weighted distance of point-to-polygonal in multi-dimensional space. Theoretical analysis and experimental results show that the proposed model is effective and efficient in energy-efficient system control. It is important to point out that the proposed algorithms are scalable when the number of dimensions or services increases.
{"title":"A energy efficient multi-dimension model for system control in smart environment systems","authors":"Anlong Ming, Hong Luo, Yanchen Ren, Zhibo Pang, K. Tsang","doi":"10.1109/INDIN.2016.7819297","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819297","url":null,"abstract":"A smart environment system should automatically control the devices according to the sensing information and users' requirements so as to keep the environmental elements (e.g., temperature, light) within the desired range. System control with minimum power is one key issue in such a system. In this paper, we propose a multi-dimension model for system control. In this model, each environmental element is abstracted into a dimension, such that a service with conditions and targets can be formulated as a multi-dimensional service space, and a smart environment with many services may map to a comprehensive multi-dimensional service space through space computation. Based on this model, we propose a minimum power adjustment algorithm for energy-efficient scheduling in smart environment, which transforms the optimal control problem into the problem of the shortest weighted distance of point-to-polygonal in multi-dimensional space. Theoretical analysis and experimental results show that the proposed model is effective and efficient in energy-efficient system control. It is important to point out that the proposed algorithms are scalable when the number of dimensions or services increases.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122500351","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}
Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819144
J. A. Holanda, João MP Cardoso, E. Marques
Object detection in images is a computing demanding task which usually needs to deal with the detection of different classes of objects, and thus requiring variations and adaptations easily provided by software solutions. Object detection algorithms are being part of real-time smarter embedded systems, such as automotive, medical, robotics and security systems. In most embedded systems, efficient implementations of object oriented algorithms need to provide high performance, low power consumption, and programmability to allow greater development flexibility. The Histogram of Oriented Gradients (HOG) is one of the most widely used algorithms for object detection in images. In this paper, we show our work towards mapping the HOG algorithm to an FPGA-based system consisting of multiple Nios II softcore processors and bearing in mind high-performance and programmability issues. We show how to reduce 19x the algorithms execution time by source to source transformations and specially avoiding redundant processing. Furthermore, we show how the use of pipelining processing using three Nios II processors allows a speedup of 49x compared to the embedded baseline application.
图像中的目标检测是一项计算要求很高的任务，通常需要处理不同类别的目标检测，因此需要软件解决方案易于提供的变化和适应。目标检测算法正在成为实时智能嵌入式系统的一部分，如汽车、医疗、机器人和安全系统。在大多数嵌入式系统中，面向对象算法的有效实现需要提供高性能、低功耗和可编程性，以允许更大的开发灵活性。定向梯度直方图(Histogram of Oriented Gradients, HOG)是目前应用最广泛的图像目标检测算法之一。在本文中，我们展示了将HOG算法映射到基于fpga的系统的工作，该系统由多个Nios II软核处理器组成，并考虑到高性能和可编程性问题。我们展示了如何通过源到源转换减少19倍的算法执行时间，特别是避免冗余处理。此外，我们还展示了如何使用三个Nios II处理器进行流水线处理，与嵌入式基线应用程序相比，它的速度提高了49倍。
{"title":"Towards a multi-softcore FPGA approach for the HOG algorithm","authors":"J. A. Holanda, João MP Cardoso, E. Marques","doi":"10.1109/INDIN.2016.7819144","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819144","url":null,"abstract":"Object detection in images is a computing demanding task which usually needs to deal with the detection of different classes of objects, and thus requiring variations and adaptations easily provided by software solutions. Object detection algorithms are being part of real-time smarter embedded systems, such as automotive, medical, robotics and security systems. In most embedded systems, efficient implementations of object oriented algorithms need to provide high performance, low power consumption, and programmability to allow greater development flexibility. The Histogram of Oriented Gradients (HOG) is one of the most widely used algorithms for object detection in images. In this paper, we show our work towards mapping the HOG algorithm to an FPGA-based system consisting of multiple Nios II softcore processors and bearing in mind high-performance and programmability issues. We show how to reduce 19x the algorithms execution time by source to source transformations and specially avoiding redundant processing. Furthermore, we show how the use of pipelining processing using three Nios II processors allows a speedup of 49x compared to the embedded baseline application.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131160093","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}
Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819336
C. C. Lee, Yi-hao Shen, W. Lee, Faan Hei Hung, K. Tsang
A fully integrated single-band 2.4 GHz low noise amplifier (LNA) is designed by using 0.18μm CMOS technology for ZigBee applications. For healthcare applications, high power consumption is not preferred. Increasing the sensitivity of receiver, therefore, could be a solution resulting in the use of LNA. The impedance expression is mathematically reconstructed into a quadratic equation and leads to the solutions by adding the LC tank in the matching networks. Besides, by using voltage controlled MOS varactor, the LC tanks at the input and output can be tuned. Such topology is convenient for calibrating the frequency drift due to the process variation and unexpected parasitics. The amplifier works at the supply voltage 1.2 V with current dissipation 10 mA. The gains achieved are over 15 dB at 2.4 GHz and the corresponding noise figure is about 2.1 dB.
{"title":"ZigBee LNA design for wearable healthcare application","authors":"C. C. Lee, Yi-hao Shen, W. Lee, Faan Hei Hung, K. Tsang","doi":"10.1109/INDIN.2016.7819336","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819336","url":null,"abstract":"A fully integrated single-band 2.4 GHz low noise amplifier (LNA) is designed by using 0.18μm CMOS technology for ZigBee applications. For healthcare applications, high power consumption is not preferred. Increasing the sensitivity of receiver, therefore, could be a solution resulting in the use of LNA. The impedance expression is mathematically reconstructed into a quadratic equation and leads to the solutions by adding the LC tank in the matching networks. Besides, by using voltage controlled MOS varactor, the LC tanks at the input and output can be tuned. Such topology is convenient for calibrating the frequency drift due to the process variation and unexpected parasitics. The amplifier works at the supply voltage 1.2 V with current dissipation 10 mA. The gains achieved are over 15 dB at 2.4 GHz and the corresponding noise figure is about 2.1 dB.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121854705","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}
Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819249
Udayanto Dwi Atmojo, Z. Salcic, K. Wang
This paper presents the Service Oriented SystemJ (SOSJ) framework, which combines correct-by-construction language features of GALS (Globally Asynchronous Locally Synchronous) system-level language SystemJ with dynamic reconfiguration features of Service Oriented Architecture (SOA), creating a new programming paradigm suitable for designing dynamic distributed manufacturing systems. The paper demonstrates new concepts introduced by SOSJ which enable dynamic online reconfiguration of typical distributed manufacturing systems. Some performance benchmarks are used to showcase the capability of the SOSJ framework.
{"title":"Dynamic online reconfiguration in manufacturing systems using SOSJ framework","authors":"Udayanto Dwi Atmojo, Z. Salcic, K. Wang","doi":"10.1109/INDIN.2016.7819249","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819249","url":null,"abstract":"This paper presents the Service Oriented SystemJ (SOSJ) framework, which combines correct-by-construction language features of GALS (Globally Asynchronous Locally Synchronous) system-level language SystemJ with dynamic reconfiguration features of Service Oriented Architecture (SOA), creating a new programming paradigm suitable for designing dynamic distributed manufacturing systems. The paper demonstrates new concepts introduced by SOSJ which enable dynamic online reconfiguration of typical distributed manufacturing systems. Some performance benchmarks are used to showcase the capability of the SOSJ framework.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132596112","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}
Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819361
Lamine Mohamadi, X. Dai, K. Busawon, M. Djemai
Fault detection (FD) is the process of monitoring a system to identify any malfunction occurring in the system. In model based fault detection, a state estimator or observer is usually designed in order to provide an estimated output which is compared with the measured output and evaluated with a decision making algorithm to identify a fault. In this paper, a new approach for fault detection is proposed based on the design of an output observer, instead of a state observer, using an input/output system representation. The proposed output observer is employed to estimate the output of the system only in order to generate a set of residuals that are indicative of the presence of a fault. The convergence of the observer is proven for any initial condition and a fault detectability condition is set. This FD scheme is validated by simulating a model of a three wheels robot.
{"title":"Output observer for fault detection in linear systems","authors":"Lamine Mohamadi, X. Dai, K. Busawon, M. Djemai","doi":"10.1109/INDIN.2016.7819361","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819361","url":null,"abstract":"Fault detection (FD) is the process of monitoring a system to identify any malfunction occurring in the system. In model based fault detection, a state estimator or observer is usually designed in order to provide an estimated output which is compared with the measured output and evaluated with a decision making algorithm to identify a fault. In this paper, a new approach for fault detection is proposed based on the design of an output observer, instead of a state observer, using an input/output system representation. The proposed output observer is employed to estimate the output of the system only in order to generate a set of residuals that are indicative of the presence of a fault. The convergence of the observer is proven for any initial condition and a fault detectability condition is set. This FD scheme is validated by simulating a model of a three wheels robot.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133540342","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}
Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819158
Sophie Klecker, P. Plapper
This work is a first step to the automation of freeform surface grinding. A control strategy for a robotic manipulator following a path which includes switching between different surfaces, constant depths of cut and system-inherent as well as environmental uncertainties is presented. The sliding mode control scheme with adaptive parameter update law is verified through simulation.
{"title":"Adaptive SMC for trajectory tracking in freeform grinding","authors":"Sophie Klecker, P. Plapper","doi":"10.1109/INDIN.2016.7819158","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819158","url":null,"abstract":"This work is a first step to the automation of freeform surface grinding. A control strategy for a robotic manipulator following a path which includes switching between different surfaces, constant depths of cut and system-inherent as well as environmental uncertainties is presented. The sliding mode control scheme with adaptive parameter update law is verified through simulation.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115228700","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}
Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819226
K. Kumagai, Y. Hayasaki
We propose a holographic-laser-drawing volumetric display using a computer-generated hologram displayed on a liquid crystal spatial light modulator and multilayer fluorescent screen. The holographic-laser-drawing technique has enabled three things; (i) increasing the number of voxels of the volumetric graphics per unit time; (ii) increasing the total input energy to the volumetric display because the maximum energy incident at a point in the multilayer fluorescent screen is limited by the damage threshold; (iii) controlling the size, shape and spatial position of voxels. In this paper, we demonstrated (i) and (ii). The multilayer fluorescent screen was newly developed to display colored voxels. The thin layer construction of the multilayer fluorescent screen minimized the axial length of the voxels. A two-color volumetric display with blue-green voxels and red voxels were demonstrated.
{"title":"Holographic-laser-drawing volumetric display","authors":"K. Kumagai, Y. Hayasaki","doi":"10.1109/INDIN.2016.7819226","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819226","url":null,"abstract":"We propose a holographic-laser-drawing volumetric display using a computer-generated hologram displayed on a liquid crystal spatial light modulator and multilayer fluorescent screen. The holographic-laser-drawing technique has enabled three things; (i) increasing the number of voxels of the volumetric graphics per unit time; (ii) increasing the total input energy to the volumetric display because the maximum energy incident at a point in the multilayer fluorescent screen is limited by the damage threshold; (iii) controlling the size, shape and spatial position of voxels. In this paper, we demonstrated (i) and (ii). The multilayer fluorescent screen was newly developed to display colored voxels. The thin layer construction of the multilayer fluorescent screen minimized the axial length of the voxels. A two-color volumetric display with blue-green voxels and red voxels were demonstrated.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115495092","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}
Pub Date : 2016-07-01DOI: 10.1109/INDIN.2016.7819253
M. J. Islam, Borja Ramis, Xiangbin Xu, A. Nieto, J. Lastra
The rapid development and employment of new technologies in the industrial domain forces enterprises dynamically adapting to changes. For example, supply chain enterprises' networks need to adopt affordable and fast responsive information systems, which must be also compatible with other systems for exchanging data. The ongoing Cloud Collaborative Manufacturing Networks (C2NET) project aims the development of a cloud-based platform to enable collaboration and optimization of processes that are performed in supply chains. The C2NET approach will allow collaborative networks (CNs) to improve the efficiency of organizations working in the same value chain. One important aspect of CNs is the interaction of users with the information needed for performing different tasks in the supply chain. The way in which the information is presented, is critical for users to be more efficient in their duties. Thus, user interfaces (UIs) must be customized in order to display useful information depending on the UI user. This research work focuses on a part of the C2NET project that intends to display in devices and web browser friendly UIs which are automatically adapted to the type of user or the role of the enterprise's worker. This article presents an implementation of an industrial visualization ontological model that might be employed for the C2NET platform. The result is a mobile application that provides an adaptive interface, which dynamically changes depending on the user and the notifications received from the CNs systems.
{"title":"Implementation of an industrial visualization model for collaborative networks","authors":"M. J. Islam, Borja Ramis, Xiangbin Xu, A. Nieto, J. Lastra","doi":"10.1109/INDIN.2016.7819253","DOIUrl":"https://doi.org/10.1109/INDIN.2016.7819253","url":null,"abstract":"The rapid development and employment of new technologies in the industrial domain forces enterprises dynamically adapting to changes. For example, supply chain enterprises' networks need to adopt affordable and fast responsive information systems, which must be also compatible with other systems for exchanging data. The ongoing Cloud Collaborative Manufacturing Networks (C2NET) project aims the development of a cloud-based platform to enable collaboration and optimization of processes that are performed in supply chains. The C2NET approach will allow collaborative networks (CNs) to improve the efficiency of organizations working in the same value chain. One important aspect of CNs is the interaction of users with the information needed for performing different tasks in the supply chain. The way in which the information is presented, is critical for users to be more efficient in their duties. Thus, user interfaces (UIs) must be customized in order to display useful information depending on the UI user. This research work focuses on a part of the C2NET project that intends to display in devices and web browser friendly UIs which are automatically adapted to the type of user or the role of the enterprise's worker. This article presents an implementation of an industrial visualization ontological model that might be employed for the C2NET platform. The result is a mobile application that provides an adaptive interface, which dynamically changes depending on the user and the notifications received from the CNs systems.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115545009","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}
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