Pub Date : 2018-07-01DOI: 10.1109/INDIN.2018.8471947
M. Freund, Christopher Martin, L. Baron, A. Braune
Model-based User Interface Development represents a promising concept for the automatic generation of user interfaces that allow interacting with technical systems like process plants. However, the development of the model transformations required for the realization of this concept proves to be a complex, error-prone, and thus costly task. Moreover, a single technical process often requires multiple manifestations of UIs (e.g. for different target platforms or environments). This is all the more problematic because existing approaches usually require the adaptation or even re-implementation of a model transformation in case of a changed target context. Based on an existing approach for the simplified development of model transformations by means of declarative mapping models, this paper illustrates an extension to solve this problem by promoting the use of explicit context conditions.
{"title":"Integrating Explicit Context Conditions into Model Transformations for User Interfaces","authors":"M. Freund, Christopher Martin, L. Baron, A. Braune","doi":"10.1109/INDIN.2018.8471947","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471947","url":null,"abstract":"Model-based User Interface Development represents a promising concept for the automatic generation of user interfaces that allow interacting with technical systems like process plants. However, the development of the model transformations required for the realization of this concept proves to be a complex, error-prone, and thus costly task. Moreover, a single technical process often requires multiple manifestations of UIs (e.g. for different target platforms or environments). This is all the more problematic because existing approaches usually require the adaptation or even re-implementation of a model transformation in case of a changed target context. Based on an existing approach for the simplified development of model transformations by means of declarative mapping models, this paper illustrates an extension to solve this problem by promoting the use of explicit context conditions.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"28 1","pages":"309-314"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86524774","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8471962
Xue-Xin He, Ya-Shu Chen
Mobile systems are usually equipped with heterogeneous processors and memories to trade off power and performance. The energy-efficient scheduling of such system is difficulty from two folders: tasks executed on such system with the end-to-end deadline and with varied power consumption from the heterogeneous component. A deadline-aware scheduler is proposed to deal with the performance degradation from memory bandwidth contention. A DVFS governor to manage processors and memory, and the run-time memory overclocking reclaiming are presented to minimize the energy consumption while maintaining the performance. Evaluation results show considerable schedulability and energy conservation using this framework.
{"title":"Deadline-aware Memory Scheduler and Governor for Heterogeneous Processors","authors":"Xue-Xin He, Ya-Shu Chen","doi":"10.1109/INDIN.2018.8471962","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471962","url":null,"abstract":"Mobile systems are usually equipped with heterogeneous processors and memories to trade off power and performance. The energy-efficient scheduling of such system is difficulty from two folders: tasks executed on such system with the end-to-end deadline and with varied power consumption from the heterogeneous component. A deadline-aware scheduler is proposed to deal with the performance degradation from memory bandwidth contention. A DVFS governor to manage processors and memory, and the run-time memory overclocking reclaiming are presented to minimize the energy consumption while maintaining the performance. Evaluation results show considerable schedulability and energy conservation using this framework.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"20 1","pages":"239-244"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87520892","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472055
A. Bonci, M. Pirani, A. Cucchiarelli, A. Carbonari, B. Naticchia, S. Longhi
This work reviews and recaps some lessons learnt in the industrial cyber-physical systems playground to indicate a viable path towards an effective use of artificial intelligence in distributed automation. The holon concept is used as a pivotal tool towards a simplification of the design and implementation of architectures that exploit recursive patterns and self-similarities to keep the industrial systems-of-systems problem under control, whilst addressing the consistent coupling between the physical environmental and the reasoning processes. The Beer’s viable system model is used as an inspiration towards new viable holistic visions of the production system-of-systems.
{"title":"A Review of Recursive Holarchies for Viable Systems in CPSs","authors":"A. Bonci, M. Pirani, A. Cucchiarelli, A. Carbonari, B. Naticchia, S. Longhi","doi":"10.1109/INDIN.2018.8472055","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472055","url":null,"abstract":"This work reviews and recaps some lessons learnt in the industrial cyber-physical systems playground to indicate a viable path towards an effective use of artificial intelligence in distributed automation. The holon concept is used as a pivotal tool towards a simplification of the design and implementation of architectures that exploit recursive patterns and self-similarities to keep the industrial systems-of-systems problem under control, whilst addressing the consistent coupling between the physical environmental and the reasoning processes. The Beer’s viable system model is used as an inspiration towards new viable holistic visions of the production system-of-systems.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"37-42"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90420392","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8471961
E. Rokrok, M. Shafie‐khah, P. Siano, J. Catalão
Recent research works have demonstrated that providing ancillary services for future microgrids is a challenging task due to the lack of sufficient spinning reserves and high cost of storage devices. Therefore, an increasing attention has been given to demand response (DR) as an emerging source to provide the required reserve, especially in emergency operation of the system. This paper proposes a decentralized multi-agent based DR strategy to control the domestic demands during the emergency operation of the microgrid (MG). According to the proposed multi-agent based DR strategy, the domestic loads are grouped based on a predefined priority and are assigned to specific load agents. To implement the information sharing process among the load agents, the consensus strategy is used. Communications among the load agents as a challenging issue of multi-agent systems (MAS) is considered and the effect of communication time delay is investigated. Simulation studies have been carried out on the CIGRE benchmark microgrid with various microsources and domestic loads, showing the effectiveness of the proposed decentralized control scheme.
{"title":"Consensus-Based Demand-Side Participation in Smart Microgrid Emergency Operation","authors":"E. Rokrok, M. Shafie‐khah, P. Siano, J. Catalão","doi":"10.1109/INDIN.2018.8471961","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471961","url":null,"abstract":"Recent research works have demonstrated that providing ancillary services for future microgrids is a challenging task due to the lack of sufficient spinning reserves and high cost of storage devices. Therefore, an increasing attention has been given to demand response (DR) as an emerging source to provide the required reserve, especially in emergency operation of the system. This paper proposes a decentralized multi-agent based DR strategy to control the domestic demands during the emergency operation of the microgrid (MG). According to the proposed multi-agent based DR strategy, the domestic loads are grouped based on a predefined priority and are assigned to specific load agents. To implement the information sharing process among the load agents, the consensus strategy is used. Communications among the load agents as a challenging issue of multi-agent systems (MAS) is considered and the effect of communication time delay is investigated. Simulation studies have been carried out on the CIGRE benchmark microgrid with various microsources and domestic loads, showing the effectiveness of the proposed decentralized control scheme.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"36 1","pages":"953-958"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90078642","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8471975
Václav Jirkovský, Petr Kadera, Marek Obitko
Cloud cyber-physical systems are the natural evolution of embedded systems based on trends which may be observed in various domains. Cloud-based systems may be understood as a transformation of legacy system hardware and software architecture into more flexible, robust, powerful, and reliable solution. Cloud cyber-physical system (CPS) is the extension of the well-known CPS concept where complex computations may be moved to a cloud platform. We proposed the solution which benefits from utilization of OPC UA standard. This standard provides rich expressivity for data model design as well as for secure communication, data subscription, and triggering methods. The overall approach is demonstrated on proposed and implemented Semantic Big Data Historian which forms together with a cyber-physical system the implementation of cloud CPS concept.
{"title":"OPC UA Realization Of Cloud Cyber-Physical System","authors":"Václav Jirkovský, Petr Kadera, Marek Obitko","doi":"10.1109/INDIN.2018.8471975","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471975","url":null,"abstract":"Cloud cyber-physical systems are the natural evolution of embedded systems based on trends which may be observed in various domains. Cloud-based systems may be understood as a transformation of legacy system hardware and software architecture into more flexible, robust, powerful, and reliable solution. Cloud cyber-physical system (CPS) is the extension of the well-known CPS concept where complex computations may be moved to a cloud platform. We proposed the solution which benefits from utilization of OPC UA standard. This standard provides rich expressivity for data model design as well as for secure communication, data subscription, and triggering methods. The overall approach is demonstrated on proposed and implemented Semantic Big Data Historian which forms together with a cyber-physical system the implementation of cloud CPS concept.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"7 1 1","pages":"115-120"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83720305","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472000
Daniel Schachinger, W. Kastner
In building operation, the continuous forward planning of energy-efficient schedules to maintain user comfort is a challenging task. Although the design of building energy management systems is an active field of research, existing solutions are often faced with limited reusability due to specialization on certain buildings, comfort parameters, or building automation technologies. Thus, this work introduces a set of context-aware strategies that are generally applicable for the optimization in building energy management systems. For this purpose, machinereadable semantics of the building and the building automation system is exploited in order to design a heuristic approach. The aim is to reduce the optimization effort while targeting both energy efficiency and cross-domain comfort satisfaction on a building-independent level. An embedding of the proposed approach into common metaheuristics is described to provide a basis for further reuse. Finally, case studies are used for evaluation of a proof-of-concept implementation.
{"title":"Context-aware optimization strategies for universal application in smart building energy management","authors":"Daniel Schachinger, W. Kastner","doi":"10.1109/INDIN.2018.8472000","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472000","url":null,"abstract":"In building operation, the continuous forward planning of energy-efficient schedules to maintain user comfort is a challenging task. Although the design of building energy management systems is an active field of research, existing solutions are often faced with limited reusability due to specialization on certain buildings, comfort parameters, or building automation technologies. Thus, this work introduces a set of context-aware strategies that are generally applicable for the optimization in building energy management systems. For this purpose, machinereadable semantics of the building and the building automation system is exploited in order to design a heuristic approach. The aim is to reduce the optimization effort while targeting both energy efficiency and cross-domain comfort satisfaction on a building-independent level. An embedding of the proposed approach into common metaheuristics is described to provide a basis for further reuse. Finally, case studies are used for evaluation of a proof-of-concept implementation.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"10 1","pages":"478-483"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84092087","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8471966
Lucas Martinuzzo Batista, Diego Lucchil, F. M. Varejão, Alexandre Rodngues, F. Lima, Thiago Oliveira-Santos
Electric power distribution companies in Brazil assess the energy consumption of most of their costumers by reading the meters in loco. A human reader has an itinerary with clients that should be read on each working day. The number of meters per route tends to increase over time, as the number of customers is constantly growing. At a certain point, the route must be restructured so that it still runs in a single day. This paper proposes the use of clustering techniques integrated with community detection algorithms and a heuristic routing algorithm to solve the problem of globally restructuring the routes used by the readers of the energy distribution companies. Experimental results showed that the proposed method significantly reduced the number of routes required to perform the meters readings.
{"title":"Electricity Readers Routing Based on Clustering and Communities Detection","authors":"Lucas Martinuzzo Batista, Diego Lucchil, F. M. Varejão, Alexandre Rodngues, F. Lima, Thiago Oliveira-Santos","doi":"10.1109/INDIN.2018.8471966","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471966","url":null,"abstract":"Electric power distribution companies in Brazil assess the energy consumption of most of their costumers by reading the meters in loco. A human reader has an itinerary with clients that should be read on each working day. The number of meters per route tends to increase over time, as the number of customers is constantly growing. At a certain point, the route must be restructured so that it still runs in a single day. This paper proposes the use of clustering techniques integrated with community detection algorithms and a heuristic routing algorithm to solve the problem of globally restructuring the routes used by the readers of the energy distribution companies. Experimental results showed that the proposed method significantly reduced the number of routes required to perform the meters readings.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"39 1","pages":"583-588"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85911058","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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