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Maintenance 4.0 World of Integrated Information [chapter]

Erkki Jantunen, Giovanni Di Orio, Csaba Hegedűs, Pal Varga, István Moldován, Felix Larrinaga, Martin Becker, Michele Albano, Pedro Maló
2019 Proceedings of the I-ESA Conferences  
The paper describes a maintenance reference architecture and platform, which aims to tackle all these challenges.  ...  The paper describes a maintenance reference architecture and platform, which aims to tackle all these challenges.  ...  MANTIS Approach The MANTIS reference architecture and platform provides a practical mean for implementing collaborative maintenance by taking advantage of: a.  ... 
doi:10.1007/978-3-030-13693-2_6 fatcat:ilmmwkuwlje3fmfwa7n3rgzb5m

A Big Data Analytical Architecture for the Asset Management

Jaime Campos, Pankaj Sharma, Unai Gorostegui Gabiria, Erkki Jantunen, David Baglee
2017 Procedia CIRP  
In conclusion, the architecture provides a holistic view of the aspects and requirements of a big data technology application system for purposes of asset management.  ...  The authors highlight important aspects of the analytical system architecture for purposes of asset management. The authors cover the data and big data technology aspects of the domain of interest.  ...  Acknowledgements The research has been conducted as a part of MANTIS Cyber Physical System based Proactive Collaborative Maintenance project.  ... 
doi:10.1016/j.procir.2017.03.019 fatcat:vxr74wpzvvfcfdzwqbylgu6uky

Optimising maintenance: What are the expectations for Cyber Physical Systems

Erkki Jantunen, Urko Zurutuza, Luis Lino Ferreira, Pal Varga
2016 2016 3rd International Workshop on Emerging Ideas and Trends in Engineering of Cyber-Physical Systems (EITEC)  
The need for maintenance is based on the wear of components of machinery.  ...  The paper discusses how the monitoring of wear and need for maintenance can be done based on the use of Cyber Physical Systems.  ...  ACKNOWLEDGMENTS The research has been conducted as a part of MANTIS Cyber Physical System based Proactive Collaborative Maintenance project. The project has received funding from the Elec-  ... 
doi:10.1109/eitec.2016.7503697 dblp:conf/cpsweek/JantunenZFV16 fatcat:efowupxscfad5msepjf2ulmlne

Energy Saving by Blockchaining Maintenance

Michele Albano, Pankaj Sharma, Jaime Campos, Erkki Jantunen, Organization1, Organization2, Organization3, Organization4
2019 Journal of Industrial Engineering and Management Science  
of Maintenance 4.0. savings, and can deliver important contributions to the green economy that Europe aims for.  ...  The Maintenance 4.0 vision considers massive exploitation of information regarding factories and machines to improve maintenance efficiency and efficacy, for example by facilitating logistics of spare  ...  ECSEL/0004/2014, JU grant nr. 662189 (MANTIS).  ... 
doi:10.13052/jiems2446-1822.2018.004 fatcat:rqp3php24jaofckquk3ezs222u

Shared Sensor Networks Fundamentals, Challenges, Opportunities, Virtualization Techniques, Comparative Analysis, Novel Architecture and Taxonomy

Nahla S. Abdel Azeem, Ibrahim Tarrad, Anar Abdel Hady, M. I. Youssef, Sherine M. Abd El-kader
2019 Journal of Sensor and Actuator Networks  
This article proposes a novel approach of taxonomy for SSNs that is based on the used virtualization techniques, and it describes the needs and usages of each one.  ...  Additionally, the shared sensor architecture and shared network architecture were depicted. Finally, some of its applications in some daily life fields are listed.  ...  Actuator Netw. 2019, 8, x FOR PEER REVIEW 13 of 58 Figure 10 . 10 MANTIS Architecture. Figure 10 . 10 MANTIS Architecture. Figure 11 . 11 SenSpire Hybrid Programming Model.  ... 
doi:10.3390/jsan8020029 fatcat:yykkpzqsfjguhg5jud5qdmbtz4

A Quality Model for Actionable Analytics in Rapid Software Development [article]

Silverio Martínez-Fernández, Andreas Jedlitschka, Liliana Guzmán, Anna Maria Vollmer
2018 arXiv   pre-print
Then we implemented the Q-Rapids tool to support the usage of the Q-Rapids quality model as well as the gathering, integration, and analysis of the required data.  ...  Aims: We aimed at creating a quality model (called Q-Rapids quality model) for actionable analytics in RSD, implementing it, and evaluating its understandability and relevance.  ...  We also thank Axel Wickenkamp for implementing the Q-Rapids quality model as well as Lidia López, Woubshet Behutiye, and Pertti Karhapää for supporting the evaluation execution.  ... 
arXiv:1803.09670v2 fatcat:pycokhd43zgz5dq55s34qbiir4

An Open and Modular Hardware Node for Wireless Sensor and Body Area Networks

L. Ciabattoni, A. Freddi, S. Longhi, A. Monteriù, L. Pepa, M. Prist
2016 Journal of Sensors  
In this paper, an open hardware architecture for designing a modular wireless sensor node for health monitoring is proposed.  ...  As an additional contribution of the work, we developed a cosimulation tool which simplifies the physical connection with the hardware devices and provides support for complex systems.  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.  ... 
doi:10.1155/2016/2978073 fatcat:35sk4pviv5hxdple4sloibquzi

QFL: Data-Driven Feedback Loop to Manage Quality in Agile Development

Lidia Lopez, Alessandra Bagnato, Antonin Ahberve, Xavier Franch
2021 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)  
As a result of the implementation of QFL in Softeam, Modelio's team members highlight the benefits of integrating a data analytics tool with their project planning tool and the fact that project managers  ...  The implementation of QFL promotes quality in the organization and the integration of software analytics and project planning tools also improves the communication between teams.  ...  In the context of ASD, a large number of tools are used during the development producing a big amount of data.  ... 
doi:10.1109/icse-seis52602.2021.00015 fatcat:qmzw7faocbhc5bsow7sjgayexm

A Quality Model for Actionable Analytics in Rapid Software Development

Silverio Martinez-Fernandez, Andreas Jedlitschka, Liliana Guzman, Anna Maria Vollmer
2018 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)  
Then we implemented the Q-Rapids tool to support the usage of the Q-Rapids quality model as well as the gathering, integration, and analysis of the required data.  ...  Aims: We aimed at creating a quality model (called Q-Rapids quality model) for actionable analytics in RSD, implementing it, and evaluating its understandability and relevance.  ...  We also thank Axel Wickenkamp for implementing the Q-Rapids quality model as well as Lidia López, Woubshet Behutiye, and Pertti Karhapää for supporting the evaluation execution.  ... 
doi:10.1109/seaa.2018.00067 dblp:conf/euromicro/Martinez-Fernandez18 fatcat:n75mghh5mfgu3eomol3bgc3n2y

Comparative Analysis of Machine Learning-Based Approaches for Anomaly Detection in Vehicular Data

Konstantinos Demestichas, Theodoros Alexakis, Nikolaos Peppes, Evgenia Adamopoulou
2021 Vehicles  
The rapid growth of demand for transportation, both for people and goods, as well as the massive accumulation of population in urban centers has augmented the need for the development of smart transport  ...  Nowadays, vehicles, as well as highways, are equipped with sensors that collect a variety of data, such as speed, acceleration, fuel consumption, direction, and more.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/vehicles3020011 doaj:dee85d29048a4fafb185662aaf2e853e fatcat:xjzhhpusg5ffza6c5ps2awnbm4

Real time pollution monitoring using Wireless Sensor Networks

Movva Pavani, P.Trinatha Rao
2016 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)  
The project was implemented in the Hong Kong Island bus route and the real-time data acquired showed the CRO technique could solve optimization problems efficiently.  ...  With the advances in the areas of Micro Electro Mechanical Sensor (MEMS) and Wireless Sensor Network (WSN), the researchers proposed various state-ofthe-art air pollution monitoring systems for measuring  ...  The algorithm was used for the data training and prediction, and it was evaluated with the city data.  ... 
doi:10.1109/iemcon.2016.7746315 fatcat:inamqgpsrza6znbj7o6ft6sg6i

Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A Review

Mohammad Nishat Akhtar, Abdurrahman Javid Shaikh, Ambareen Khan, Habib Awais, Elmi Abu Bakar, Abdul Rahim Othman
2021 Agriculture  
With the implementation of the Internet of Things, the agricultural domain has become data-driven, allowing for well-timed and cost-effective farm management while remaining environmentally sustainable  ...  In addition to this, a new model of high-performance-based edge computing is also shown for efficient offloading of data with smooth workflow optimization.  ...  Acknowledgments: The authors would like to extend special thanks to S. A. Khan from IIUM, Malaysia for providing his support in accomplishing this research.  ... 
doi:10.3390/agriculture11060475 doaj:2e4ea7dfa73f448d9e3fbe2ea9edcaa5 fatcat:fvfwiz4b6fhuzi4uen2bjmoz2e

Machine Learning Applications of Convolutional Neural Networks and Unet Architecture to Predict and Classify Demosponge Behavior

Dominica Harrison, Fabio Cabrera De Leo, Warren J. Gallin, Farin Mir, Simone Marini, Sally P. Leys
2021 Water  
Our work provides a roadmap for others who seek to cross the interdisciplinary boundaries between biology and computer science.  ...  We applied semantic segmentation with the Unet architecture with some modifications, including adapting parts of the architecture to be more applicable to three-channel images (RGB).  ...  We extend our thanks to ONC's marine engineers responsible for sea and shore support during maintenance of the Folger Pinnacle observatory infrastructure, including staff and scuba divers at the Bamfield  ... 
doi:10.3390/w13182512 fatcat:wse2wxt4zvbuxlxxwitvp6w7ve

Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data

Nikolaos Peppes, Theodoros Alexakis, Evgenia Adamopoulou, Konstantinos Demestichas
2021 Sensors  
Furthermore, the rapid increase for transportation needs of people and goods together with the evolution of Information and Communication Technologies (ICT) push the transportation domain towards a new  ...  The reduction of CO2 emissions and the minimization of the environmental footprint is, undeniably, of utmost importance for the protection of the environment.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21144704 fatcat:qdmjsnpbfnhldndfh6n2oyzumi

D7.1 – Integration Report v1

Benjamin Molina, Eneko Olivares, Miguel Angel Llorente, Ismael Torres, Jose Antonio Clemente, Flavio Fuart, Erwan Simon, Romain Queraud, Charles Garnier, Gilda De Marco, Luka Traven, Tamara Corsano (+3 others)
2021 Zenodo  
It will include test plans (individual, module and integration), the different integration environments (lab, real scenario, real data).  ...  It will report of all the pilot integration activities including technical, organizational and operational aspects. Associated task: T7.1, T7.2, T7.3, T7.4, T7.5 and 7.6  ...  Bringing heterogeneous companies together is quite a big challenge and requires a lot of effort.  ... 
doi:10.5281/zenodo.5553106 fatcat:s55d7oqiwvbmzlvwf2rod7dpnq
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