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A machine-to-machine architecture to merge semantic sensor measurements

Amelie Gyrard
2013 Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion  
We design a Machine-to-Machine (M2M) architecture to merge heterogeneous sensor networks and we propose to add semantics to the measured data rather than to the context.  ...  This architecture enables to: (1) get sensor measurements, (2) enrich sensor measurements with semantic web technologies, domain ontologies and the Link Open Data, and (3) reason on these semantic measurements  ...  PROPOSED APPROACH We present in this section an architecture to merge heterogeneous sensor networks, an ontology to convert automatically the sensed measurements into semantic measurements and a generic  ... 
doi:10.1145/2487788.2487945 dblp:conf/www/Gyrard13 fatcat:ot63by2uc5b2jnm52w76yag6vq

An Architecture to Aggregate Heterogeneous and Semantic Sensed Data [chapter]

Amelie Gyrard
2013 Lecture Notes in Computer Science  
We propose an architecture to merge heterogeneous sensor networks, convert measurements into semantic data and reason on them.  ...  Existing applications add semantics to the sensor networks, more specifically, to the context, rather than to the sensed data.  ...  Conclusion and Future Works We proposed to merge heterogeneous semantic sensor networks. We annotate measurements with semantics rather than add semantics to the context.  ... 
doi:10.1007/978-3-642-38288-8_54 fatcat:irhdsedux5bhzhzrlbyvadwij4

Recommendation function for smart data analytics toolbox to support semantic merging of middle-of-life data streams

Fatima-Zahra Abou Eddahab, Imre Horvath
2020 2020 International Conference on Control, Automation and Diagnosis (ICCAD)  
based on the merged information, and (v) send a recommendation as a message to the designer.  ...  The performance of the computational implementation was tested in an application case of data steaming and management to white goods designers for enhancing a connected washing machine.  ...  Algorithm A9 jointly processes the MoLD-S and embeds information in a new latent space, in which a distance reflects a measure of semantic similarity.  ... 
doi:10.1109/iccad49821.2020.9260510 fatcat:qjne2ktqmvf3pdrpugkulneify

Standardizing generic cross-domain applications in Internet of Things

Amelie Gyrard, Soumya Kanti Datta, Christian Bonnet, Karima Boudaoud
2014 2014 IEEE Globecom Workshops (GC Wkshps)  
We present our Machine-to-Machine Measurement (M3) framework and share lessons learned to improve existing standards such as oneM2M, ETSI M2M, W3C Web of Things and W3C Semantic Sensor Network.  ...  To explicitly describe sensor measurements in uniform way, we propose to enrich them with semantic web technologies.  ...  ACKNOWLEDGMENT The authors would like to thank the semantic web experts (Ghislain Atemezing, Payam Barnaghi and Bernard Vatant) for their valuable feedback and colleagues, friends, students for fruitful  ... 
doi:10.1109/glocomw.2014.7063496 dblp:conf/globecom/GyrardDBB14 fatcat:f3ytyo73ubhuzfqdeg62yoiuc4

A Cyber-physical System Architecture in Shop Floor for Intelligent Manufacturing

Chao Liu, Pingyu Jiang
2016 Procedia CIRP  
The proposed architecture provides a guideline to construct a CPS system from the hardware interconnection, to the data acquisition, processing, and visualization, and the final knowledge acquisition and  ...  Finally, a CPS added on a small-scale flexible automated production line in our Micro Manufacturing System Lab is taken as an example to verify the feasibility of proposed CPS architecture.  ...  A vibration sensor in machining workstation 1, a Janitza power sensor in machining workstation 2, an acceleration sensor, a photoelectric displacement sensor and a camera in machining workstation 3, are  ... 
doi:10.1016/j.procir.2016.10.059 fatcat:7s25bcfkobdqhbnjoi6x5zt3ai

A Review of Semantic Sensor Technologies in Internet of Things Architectures

Gergely Marcell Honti, Janos Abonyi
2019 Complexity  
The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based  ...  Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability.  ...  A semantically enriched ontology-based model does not only provide sensor data and its description but also encapsulates the context enabling machines to process and interpret the meaning of a measurement  ... 
doi:10.1155/2019/6473160 fatcat:typfplpe2bdzliaumkleor24oi

Prototype of IoT Enabled Smart Factory

HaeKyung Lee, Taioun Kim
2016 Innovative Computing Information and Control Express Letters, Part B: Applications  
A company producing industrial vinyl film with high defective ratio is chosen to implement IoT enabled smart factory.  ...  A disruptive paradigm shift is under way in the manufacturing environment globally. The main sources of this big change are IT, machine intelligence, AI and Internet of Things (IoT).  ...  The future scenario will be described as everything is mobile, networked, semantic services. A virtuality in the cyberspace merges with reality in the physical world. 3.  ... 
doi:10.24507/icicelb.07.04.955 fatcat:36yukywacne25ozzukxailru2y

Scalable and Reliable Multi-Dimensional Aggregation of Sensor Data Streams [article]

Sören Henning, Wilhelm Hasselbring
2019 arXiv   pre-print
Therefore, data streams of the individual sensors have to be continuously aggregated to a data stream for a group.  ...  We propose a stream processing architecture fulfilling these requirements, which can be integrated into existing big data architectures.  ...  The Dual Streaming Model The dual streaming model [7] is a model to define the semantics of a stream processing architecture.  ... 
arXiv:1911.06525v1 fatcat:ki3k4la6jvfsjgt4rrm4i2buae

A software architecture for the analysis of energy- and process-data

Bjorn Kroll, Sebastian Schriegel, Oliver Niggemann, Stefan Schramm
2013 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)  
This paper contributes a framework that helps to fulfill the requirements of the standards DIN EN 16247 and ISO 50001 by combining (i) a synchronized data acquisition, (ii) data integration, (iii) learning  ...  Both standards require a reliable data acquisition and energy consumption analysis for implementing a certified energy management system.  ...  This work was funded by the BMWi (German Federal Ministry of Economics and Technology), funding code IGF 16419, as a part of the project "Anubis: Analyse und Uberwachung des Energieverbrauchs in der Verfahrenstechnik  ... 
doi:10.1109/etfa.2013.6648146 dblp:conf/etfa/KrollSNS13 fatcat:2akcu5kayrbjlcnuamexs6ctty

Scalable and Reliable Multi-dimensional Sensor Data Aggregation in Data Streaming Architectures

Sören Henning, Wilhelm Hasselbring
2020 Data-Enabled Discovery and Applications  
Therefore, data streams of the individual sensors have to be continuously aggregated to a data stream for a group.  ...  In addition to analyzing pure sensor data, analyses of data for entire groups of sensors often need to be performed.  ...  It is a model to define the semantics of a stream processing architecture.  ... 
doi:10.1007/s41688-020-00041-3 fatcat:lr6leajggbhali5uclizwdk6ke

A Comprehensive Analysis of Architectures and Methods of Real-Time Big Data Analytics

Sinan AY, Department of Computer Engineering, Turkish Military Academy, Ankara, Turkey, M. Ali Akçayol
2017 Lecture Notes on Information Theory  
In this study, several architectures and applications for real-time big data analysis have been investigated and compared with each other in details.  ...  Some big data applications require real time analysis, and there is time constraint to analyze for the applications. Various methods and have been proposed to overcome this difficulty.  ...  The merge tier ensures that the data at runtime is integrated with the big semantic data.  ... 
doi:10.18178/lnit.5.1.7-12 fatcat:ogc2paal4be7nizbi3z5yog6sq

Introduction to Multimodal Scene Understanding [chapter]

Michael Ying Yang, Bodo Rosenhahn, Vittorio Murino
2019 Multimodal Scene Understanding  
• How can multisensory information be used to enhance the performance of generic highlevel vision tasks, such as object recognition, semantic segmentation, localization, and scene reconstruction, and empower  ...  It relies on a graphical model, involving a fit-to-data term related to merged class membership measures and an image-based contrast sensitive regularization term.  ...  The net goal is to find a mapping to derive semantic information from sensor data, which is an extremely challenging task partially due to the ambiguities in the appearance of the data.  ... 
doi:10.1016/b978-0-12-817358-9.00007-x fatcat:454n5szq2bgo3awpaixj2vesgy

A Survey from the Perspective of Evolutionary Process in the Internet of Things

Feng Wang, Liang Hu, Jin Zhou, Kuo Zhao
2015 International Journal of Distributed Sensor Networks  
Our paper serves a key purpose: from the perspective of correlative technologies based on time, to review the evolutionary process of the IoT and depict the relations between the correlation techniques  ...  This paper aims to bridge this gap by providing guidance in terms of the evolutionary process of the IoT and gives readers a panoramic view of the IoT field without repeating what is already available  ...  Machine-to-Machine Communication. Machine-to-Machine (M2M) Communication refers to the interconnection and interoperability between machines.  ... 
doi:10.1155/2015/462752 fatcat:ht4c2nm6lrekbcufjdlohotnye

A model-driven approach to develop adaptive firmwares

Franck Fleurey, Brice Morin, Arnor Solberg
2011 Proceeding of the 6th international symposium on Software engineering for adaptive and self-managing systems - SEAMS '11  
In a near future it is expected that most things we rely on in our everyday life will contain sensors and electronic based information, have computing power, run embedded software and connect to networks  ...  The paper is illustrated with the example of an adaptive temperature sensor network running on a microcontroller platform.  ...  The idea for that is to weave all the aspects into the base model to obtain a merged state machine that mixes the adaptation logic with the logic of the sensors.  ... 
doi:10.1145/1988008.1988031 dblp:conf/icse/FleureyMS11 fatcat:65spfqvhobfhxigrcgaxocdwv4

Gatica: Linked Sensed Data Enrichment and Analytics Middleware for IoT Gateways

Soheil Qanbari, Negar Behinaein, Rabee Rahimzadeh, Schahram Dustdar
2015 2015 3rd International Conference on Future Internet of Things and Cloud  
Raw sensed data lacks semantics. This poses a challenge to apply analytics directly to raw IoT sensor data. Such operational data requires an intensive enrichment processes to drive value.  ...  In this paper, we incorporate semantic and linked data technologies and offer a middleware called Gatica, to dynamically inject semantics to make the raw streaming data of an IoT gateway "Rich" on the  ...  ACKNOWLEDGMENT The research leading to these results is sponsored by the Doctoral College of Adaptive Distributed Systems (ADSys) 18 at the Vienna University of Technology.  ... 
doi:10.1109/ficloud.2015.37 dblp:conf/ficloud/QanbariBRD15 fatcat:3j6gmhyhjndyzpy3veib6miog4
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