Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972141
Sten Grüner, Andreas Burger, Hadil Abukwaik, Sascha El-Sharkawy, Klaus Schmid, T. Ziadi, Anton Paule, Felix Suda, A. Viehl
Transforming a clone-and-own (i.e., new product variants are created by copying and modifying existing artifacts) code structure and development process to a Software Product Line Engineering (PLE) approach is a tedious and error-prone task. Holistic tool support for such a process is highly desirable, especially to lower efforts and to speed up the transformation. Unfortunately, such a holistic toolchain for reverse engineering of variability, supporting variant-centric and platform-centric extraction approaches is not available. In this paper, we present a toolchain covering the first steps for moving a clone-and-own product development to a PLE approach. We validate the first prototype of the toolchain on a case study consisting of industrial firmware for smart motor controllers and we show that even this early prototype reduces time and effort for moving to a configurable platform approach in the sense of PLE.
{"title":"Demonstration of a Toolchain for Feature Extraction, Analysis and Visualization on an Industrial Case Study","authors":"Sten Grüner, Andreas Burger, Hadil Abukwaik, Sascha El-Sharkawy, Klaus Schmid, T. Ziadi, Anton Paule, Felix Suda, A. Viehl","doi":"10.1109/INDIN41052.2019.8972141","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972141","url":null,"abstract":"Transforming a clone-and-own (i.e., new product variants are created by copying and modifying existing artifacts) code structure and development process to a Software Product Line Engineering (PLE) approach is a tedious and error-prone task. Holistic tool support for such a process is highly desirable, especially to lower efforts and to speed up the transformation. Unfortunately, such a holistic toolchain for reverse engineering of variability, supporting variant-centric and platform-centric extraction approaches is not available. In this paper, we present a toolchain covering the first steps for moving a clone-and-own product development to a PLE approach. We validate the first prototype of the toolchain on a case study consisting of industrial firmware for smart motor controllers and we show that even this early prototype reduces time and effort for moving to a configurable platform approach in the sense of PLE.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"2 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":"124486246","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8971967
Leire Amezua Hormaza, Wael M. Mohammed, Borja Ramis, Ronal Bejarano, J. Lastra
Currently, the implementation of virtual, augmented and mixed realities-based solutions is one of the megatrends in the Industrial Automation domain. In this context, Virtual Reality (VR) permits the development of virtual environments that can be used for different purposes, such as designing, monitoring and/or training industrial machinery. Moreover, the access to such environments can be remote, facilitating the interaction of humans with cyber models of real-world systems without the need of being at the system facilities. This article presents a virtual environment that has been developed within VR technologies not only for training and monitoring robot tasks but also to be done at robot operation runtime within an on-line mode. In this manner, the user of the presented environment is able to train and monitor de tasks at the same time that the robot is operating. The research work is validated within the on-line training and monitoring tasks of an ABB IRB 14000 industrial robot.
{"title":"On-line Training and Monitoring of Robot Tasks through Virtual Reality","authors":"Leire Amezua Hormaza, Wael M. Mohammed, Borja Ramis, Ronal Bejarano, J. Lastra","doi":"10.1109/INDIN41052.2019.8971967","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8971967","url":null,"abstract":"Currently, the implementation of virtual, augmented and mixed realities-based solutions is one of the megatrends in the Industrial Automation domain. In this context, Virtual Reality (VR) permits the development of virtual environments that can be used for different purposes, such as designing, monitoring and/or training industrial machinery. Moreover, the access to such environments can be remote, facilitating the interaction of humans with cyber models of real-world systems without the need of being at the system facilities. This article presents a virtual environment that has been developed within VR technologies not only for training and monitoring robot tasks but also to be done at robot operation runtime within an on-line mode. In this manner, the user of the presented environment is able to train and monitor de tasks at the same time that the robot is operating. The research work is validated within the on-line training and monitoring tasks of an ABB IRB 14000 industrial robot.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"32 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":"127633456","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972035
Minato Omori, Y. Nakajo, M. Yoda, Y. Joshi, H. Nishi
The growing demand for computing resources leads to a serious problem of excessive energy consumption in data centers. In recent studies, energy consumption of both computing and cooling equipment is drawing attention. For improving the energy efficiency of cooling equipment such as computer room air conditioners (CRACs), it is neccesary to predict temperatures in data centers and to optimize thermal management in data centers. In this study, we propose a temperature prediction method for servers in a data center using a neural network. We used the prediction result for distributing task targeting temperature-based load balancing. First, we conducted an experiment in a real data center to evaluate the prediction accuracy of the proposed method. We then simulated task distribution based on the predicted temperatures and compared the maximum CPU temperature with a non-predictive approach. The results indicated that the proposed method can reduce future CPU temperatures successfully compared to the non-predictive approach, though in exchange for high computational cost.
{"title":"Energy-Efficient Task Distribution Using Neural Network Temperature Prediction in a Data Center","authors":"Minato Omori, Y. Nakajo, M. Yoda, Y. Joshi, H. Nishi","doi":"10.1109/INDIN41052.2019.8972035","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972035","url":null,"abstract":"The growing demand for computing resources leads to a serious problem of excessive energy consumption in data centers. In recent studies, energy consumption of both computing and cooling equipment is drawing attention. For improving the energy efficiency of cooling equipment such as computer room air conditioners (CRACs), it is neccesary to predict temperatures in data centers and to optimize thermal management in data centers. In this study, we propose a temperature prediction method for servers in a data center using a neural network. We used the prediction result for distributing task targeting temperature-based load balancing. First, we conducted an experiment in a real data center to evaluate the prediction accuracy of the proposed method. We then simulated task distribution based on the predicted temperatures and compared the maximum CPU temperature with a non-predictive approach. The results indicated that the proposed method can reduce future CPU temperatures successfully compared to the non-predictive approach, though in exchange for high computational cost.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"9 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":"126257022","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 : 2019-07-01DOI: 10.1109/indin41052.2019.8972279
T. Fukuda, V. Vyatkin, Paulo Leitão, A. Lobov, Andres A. Nogueiras, W. Dai, R. Sinha, P. Korondi, José Barata
Honorary Chairs Mo Yuen Chow, North Carolina State University, USA Toshio Fukuda, Nagoya University; Meijo University, Japan; Beijing Institute of Technology, China Kari Koskinen, Aalto University, Finland Bogdan Wilamowski Auburn University, USA Xinghuo Yu, RMIT University, Australia General chairs Valeriy Vyatkin, Aalto University, Finland and Luleå University of Technology, Sweden José Luis Martinez Lastra, Tampere University, Finland Kim Fung Man, City University, Hong Kong Program chairs Lucia Lo Bello, University of Catania, Italy Thilo Sauter, Donau University Krems and TU Vienna, Austria Ren Luo, National University of Taiwan, Taiwan Special Session chairs Paulo Leitão, University of Braganca, Portugal Thomas Strasser, Austrian Institute of Technology, Austria Tutorial chairs Rodolfo Haber, Centre for Automation and Robotics, Spain Borja Ramis, Tampere University, Finland Industry Forum Chairs Lasse Eriksson, Kalmarglobal, Finland Zhibo Pang, ABB, Sweden Michael Condry, USA Victor Huang, USA Finance Chairs Seppo Sierla, Aalto University, Finland Peter Palensky, TU Delft, Netherlands Tools Track and Exhibition Chairs Andrei Lobov, Tampere University, Finland Jari Anttila, Energico, Finland
美国北卡罗来纳州立大学名誉主席周默元;名古屋大学名誉主席福田俊夫;日本明治大学;中国北京理工大学Kari Koskinen，阿尔托大学，芬兰Bogdan Wilamowski奥本大学，美国Xinghuo Yu，澳大利亚RMIT大学，芬兰阿尔托大学valery Vyatkin和瑞典卢莱夫理工大学jos Luis Martinez Lastra，坦佩雷大学，芬兰金风曼，城市大学，香港项目主席Lucia Lo Bello，意大利卡塔尼亚大学Thilo Sauter，多瑙大学Krems和奥地利维也纳理工大学Ren Luo，台湾国立大学、台湾特别会议主席Paulo leit o、葡萄牙布拉干卡大学Thomas Strasser、奥地利理工学院、奥地利教程主席Rodolfo Haber、自动化与机器人中心、西班牙Borja Ramis、芬兰坦佩雷大学、芬兰工业论坛主席Lasse Eriksson、芬兰Kalmarglobal、芬兰彭智博、ABB、瑞典Michael Condry、美国Victor Huang、美国金融主席Seppo Sierla、芬兰阿尔托大学、Peter Palensky、代尔夫特工业大学、荷兰工具轨道和展览主席Andrei Lobov，坦佩雷大学，芬兰Jari Anttila, Energico，芬兰
{"title":"INDIN 2019 Organizing Committees","authors":"T. Fukuda, V. Vyatkin, Paulo Leitão, A. Lobov, Andres A. Nogueiras, W. Dai, R. Sinha, P. Korondi, José Barata","doi":"10.1109/indin41052.2019.8972279","DOIUrl":"https://doi.org/10.1109/indin41052.2019.8972279","url":null,"abstract":"Honorary Chairs Mo Yuen Chow, North Carolina State University, USA Toshio Fukuda, Nagoya University; Meijo University, Japan; Beijing Institute of Technology, China Kari Koskinen, Aalto University, Finland Bogdan Wilamowski Auburn University, USA Xinghuo Yu, RMIT University, Australia General chairs Valeriy Vyatkin, Aalto University, Finland and Luleå University of Technology, Sweden José Luis Martinez Lastra, Tampere University, Finland Kim Fung Man, City University, Hong Kong Program chairs Lucia Lo Bello, University of Catania, Italy Thilo Sauter, Donau University Krems and TU Vienna, Austria Ren Luo, National University of Taiwan, Taiwan Special Session chairs Paulo Leitão, University of Braganca, Portugal Thomas Strasser, Austrian Institute of Technology, Austria Tutorial chairs Rodolfo Haber, Centre for Automation and Robotics, Spain Borja Ramis, Tampere University, Finland Industry Forum Chairs Lasse Eriksson, Kalmarglobal, Finland Zhibo Pang, ABB, Sweden Michael Condry, USA Victor Huang, USA Finance Chairs Seppo Sierla, Aalto University, Finland Peter Palensky, TU Delft, Netherlands Tools Track and Exhibition Chairs Andrei Lobov, Tampere University, Finland Jari Anttila, Energico, Finland","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"68 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":"126272012","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972052
V. Dubinin, A. Voinov, I. Senokosov, V. Vyatkin
Efficient application of model-based software design methodologies in industrial automation requires methods and tools for automatic code generation. Formal models can be especially useful to avoid ambiguity, to verify and evaluate performance, which ultimately will improve the quality and reliability of the project and lead to lower design costs. This paper proposes methods for implementing state-transition formal models, such as finite state and pushdown automata, as well as extended Petri nets (A-nets) by means of IEC 61499 function blocks. These implementation approaches can be used in the design of industrial cyber-physical systems for monitoring, diagnostics, conformance checking, detection and selection of specified sequences of events and parameterized objects from an input stream. One of the proposed applications is illustrated using an example of an assembly process with LEGO blocks.
{"title":"Implementation of state transition models in IEC 61499 and its use for recognition and selection of sequences of events and objects","authors":"V. Dubinin, A. Voinov, I. Senokosov, V. Vyatkin","doi":"10.1109/INDIN41052.2019.8972052","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972052","url":null,"abstract":"Efficient application of model-based software design methodologies in industrial automation requires methods and tools for automatic code generation. Formal models can be especially useful to avoid ambiguity, to verify and evaluate performance, which ultimately will improve the quality and reliability of the project and lead to lower design costs. This paper proposes methods for implementing state-transition formal models, such as finite state and pushdown automata, as well as extended Petri nets (A-nets) by means of IEC 61499 function blocks. These implementation approaches can be used in the design of industrial cyber-physical systems for monitoring, diagnostics, conformance checking, detection and selection of specified sequences of events and parameterized objects from an input stream. One of the proposed applications is illustrated using an example of an assembly process with LEGO blocks.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"12 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":"126356960","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972333
A. Onumanyi, A. Abu-Mahfouz, G. Hancke
In this paper, we have discussed the integration of Cognitive Radio (CR) in Low Power Wide Area Network (LPWAN) based on a generic network architecture and a PHY layer front-end model. Essentially, since most existing LPWAN technologies are proprietary in nature, it is necessary to present insights that may spur newer developments to enhance many Internet of Things (IoT)-based applications, including Industrial IoT (IIoT) applications such as smart factories, smart metering, and smart city architectures. Generally, this paper will benefit researchers who may be seeking to develop CR-LPWAN systems towards enhancing IoT-based applications.
{"title":"Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications","authors":"A. Onumanyi, A. Abu-Mahfouz, G. Hancke","doi":"10.1109/INDIN41052.2019.8972333","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972333","url":null,"abstract":"In this paper, we have discussed the integration of Cognitive Radio (CR) in Low Power Wide Area Network (LPWAN) based on a generic network architecture and a PHY layer front-end model. Essentially, since most existing LPWAN technologies are proprietary in nature, it is necessary to present insights that may spur newer developments to enhance many Internet of Things (IoT)-based applications, including Industrial IoT (IIoT) applications such as smart factories, smart metering, and smart city architectures. Generally, this paper will benefit researchers who may be seeking to develop CR-LPWAN systems towards enhancing IoT-based applications.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"29 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":"128097456","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972191
Ryo Toshimitsu, Y. Fujimoto
Most autonomous mobile systems require pre- generated detailed maps that are expensive to prepare. In this study, we proposed an autonomous mobile system that does not rely on a detailed map; instead, it uses a simple map for robot navigation. The robot has two maps; one is a detailed map created by sensor observation during movement, and the other is a simple map provided as pre-information. The robot performs the matching between detailed and simple maps and converts waypoints on the simple map to waypoints on the detailed map. Matching is performed based on straight line matching and is optimized by genetic algorithm. Experiments were conducted in buildings. Our method is compared with linear transformations and conditions that our method works effectively or not are confirmed.
{"title":"Transformation Between Simple and Detailed Maps Based on Line Matching for Robot Navigation","authors":"Ryo Toshimitsu, Y. Fujimoto","doi":"10.1109/INDIN41052.2019.8972191","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972191","url":null,"abstract":"Most autonomous mobile systems require pre- generated detailed maps that are expensive to prepare. In this study, we proposed an autonomous mobile system that does not rely on a detailed map; instead, it uses a simple map for robot navigation. The robot has two maps; one is a detailed map created by sensor observation during movement, and the other is a simple map provided as pre-information. The robot performs the matching between detailed and simple maps and converts waypoints on the simple map to waypoints on the detailed map. Matching is performed based on straight line matching and is optimized by genetic algorithm. Experiments were conducted in buildings. Our method is compared with linear transformations and conditions that our method works effectively or not are confirmed.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"25 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":"125464556","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972249
A. Stepanov, Andrey Lange, N. Khromov, Alexander Korotin, E. Burnaev, A. Somov
eSports industry has greatly progressed within the last decade in terms of audience and fund rising, broadcasting, networking and hardware. Since the number and quality of professional team has evolved too, there is a reasonable need in improving skills and training process of professional eSports athletes. In this work, we demonstrate a system able to collect heterogeneous data (physiological, environmental, video, telemetry) and guarantying synchronization with 10 ms accuracy. In particular, we demonstrate how to synchronize various sensors and ensure post synchronization, i.e. logged video, a so-called demo file, with the sensors data. Our experimental results achieved on the CS:GO game discipline show up to 3 ms accuracy of the time synchronization of the gaming computer.
{"title":"Sensors and Game Synchronization for Data Analysis in eSports","authors":"A. Stepanov, Andrey Lange, N. Khromov, Alexander Korotin, E. Burnaev, A. Somov","doi":"10.1109/INDIN41052.2019.8972249","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972249","url":null,"abstract":"eSports industry has greatly progressed within the last decade in terms of audience and fund rising, broadcasting, networking and hardware. Since the number and quality of professional team has evolved too, there is a reasonable need in improving skills and training process of professional eSports athletes. In this work, we demonstrate a system able to collect heterogeneous data (physiological, environmental, video, telemetry) and guarantying synchronization with 10 ms accuracy. In particular, we demonstrate how to synchronize various sensors and ensure post synchronization, i.e. logged video, a so-called demo file, with the sensors data. Our experimental results achieved on the CS:GO game discipline show up to 3 ms accuracy of the time synchronization of the gaming computer.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"6 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":"131342578","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972311
Robin Lamberti, Ljiljana Stojanović
Real-time analysis of Internet of Things sensor data is crucial for players in the industrial sector for staying competitive. That is, why highly capable and easy to integrate solutions are needed for this, which can be deployed close to the data sources. In this paper, we argue that Complex Event Processing (CEP), which is a model-driven data analytics approach, is such a technique. CEP is able to achieve high throughput of data without the need of the computing power available in modern cloud infrastructures, while producing semantically higher value data in real time.Our here presented solution using CEP is easily integrated, scalable and capable of processing big amounts of data while giving semantic assurances through meta data modeling. Users of our solution do not need to learn any languages to model patterns, but can do that with an intuitive, graphical approach running on mobile devices, which makes it a good fit for domain experts working in industrial environments today.Solutions like the one presented in this paper can be a key-enabler for new business models in the industrial sector and smart factories.
{"title":"Complex Event Processing as an Approach for real-time Analytics in industrial Environments","authors":"Robin Lamberti, Ljiljana Stojanović","doi":"10.1109/INDIN41052.2019.8972311","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972311","url":null,"abstract":"Real-time analysis of Internet of Things sensor data is crucial for players in the industrial sector for staying competitive. That is, why highly capable and easy to integrate solutions are needed for this, which can be deployed close to the data sources. In this paper, we argue that Complex Event Processing (CEP), which is a model-driven data analytics approach, is such a technique. CEP is able to achieve high throughput of data without the need of the computing power available in modern cloud infrastructures, while producing semantically higher value data in real time.Our here presented solution using CEP is easily integrated, scalable and capable of processing big amounts of data while giving semantic assurances through meta data modeling. Users of our solution do not need to learn any languages to model patterns, but can do that with an intuitive, graphical approach running on mobile devices, which makes it a good fit for domain experts working in industrial environments today.Solutions like the one presented in this paper can be a key-enabler for new business models in the industrial sector and smart factories.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"49 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":"132034769","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972128
Thiago C. Jesus, D. G. Costa, P. Portugal
Wireless visual sensor networks (WVSN) bring a more comprehensive perception of monitored environments, leading to an increase adoption of such networks as a promising solution for a wide range of applications. Among many examples, highlight industrial applications related to the industry 4.0 paradigm, which increasingly require more data from manufacturing systems. Those sensor-based applications are in many cases safety-critical, requiring dependability guarantees mainly related with reliability and availability, that should be maintained during the whole network operation. Although several approaches have provided network deployment with dependability guarantees, sometimes the monitored environment or the application configurations can change during the network operation, which can violate the dependability requirements and demand network redeployment in order to keep those guarantees. In this paper we propose a novel algorithm to redeploy WVSN guided by the optimization of the application dependability, considering changes on cameras’ orientations. A methodology is defined to support dependability analysis. We compare the results of the proposed algorithm with previous algorithms found in literature. The achieved results show that the proposed algorithm is useful and efficient to provide network redeployment, keeping or improving the application dependability.
{"title":"Wireless visual sensor networks redeployment based on dependability optimization","authors":"Thiago C. Jesus, D. G. Costa, P. Portugal","doi":"10.1109/INDIN41052.2019.8972128","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972128","url":null,"abstract":"Wireless visual sensor networks (WVSN) bring a more comprehensive perception of monitored environments, leading to an increase adoption of such networks as a promising solution for a wide range of applications. Among many examples, highlight industrial applications related to the industry 4.0 paradigm, which increasingly require more data from manufacturing systems. Those sensor-based applications are in many cases safety-critical, requiring dependability guarantees mainly related with reliability and availability, that should be maintained during the whole network operation. Although several approaches have provided network deployment with dependability guarantees, sometimes the monitored environment or the application configurations can change during the network operation, which can violate the dependability requirements and demand network redeployment in order to keep those guarantees. In this paper we propose a novel algorithm to redeploy WVSN guided by the optimization of the application dependability, considering changes on cameras’ orientations. A methodology is defined to support dependability analysis. We compare the results of the proposed algorithm with previous algorithms found in literature. The achieved results show that the proposed algorithm is useful and efficient to provide network redeployment, keeping or improving the application dependability.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"38 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":"130099086","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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