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Publications (10 of 16) Show all publications
Ståhl, N., Falkman, G., Mathiason, G. & Karlsson, A. (2018). A self-organizing ensemble of deep neural networks for the classication of data from complex processes. In: : . Paper presented at 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 11 - Jun 15, 2018, Cadiz, Spain.
Open this publication in new window or tab >>A self-organizing ensemble of deep neural networks for the classication of data from complex processes
2018 (English)Conference paper, Published paper (Refereed)
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL); Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-15008 (URN)
Conference
17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 11 - Jun 15, 2018, Cadiz, Spain
Available from: 2018-04-04 Created: 2018-04-04 Last updated: 2018-04-17
Atif, Y., Stylianos, S., Demetrios, S. & Mathiason, G. (2017). A Cyberphysical Learning Approach for Digital Smart Citizenship Competence Development. In: WWW '17: Proceedings of the 26th International Conference on World Wide Web Companion. Paper presented at International World Wide Web Conference, Perth, Australia, April 3–7, 2017 (pp. 397-405). ACM Digital Library
Open this publication in new window or tab >>A Cyberphysical Learning Approach for Digital Smart Citizenship Competence Development
2017 (English)In: WWW '17: Proceedings of the 26th International Conference on World Wide Web Companion, ACM Digital Library, 2017, p. 397-405Conference paper, Published paper (Refereed)
Abstract [en]

Smart Cities have emerged as a global concept that argues for the effective exploitation of digital technologies to drive sustainable innovation and well-being for citizens. Despite the large investments being placed on Smart City infrastructure, however, there is still very scarce attention on the new learning approaches that will be needed for cultivating Digital Smart Citizenship competences, namely the competences which will be needed by the citizens and workforce of such cities for exploiting the digital technologies in creative and innovative ways for driving financial and societal sustainability. In this context, this paper introduces cyberphysical learning as an overarching model of cultivating Digital Smart Citizenship competences by exploiting the potential of Internet of Things technologies and social media, in order to create authentic blended and augmented learning experiences.

Place, publisher, year, edition, pages
ACM Digital Library, 2017
Keyword
Digital Smart citizenship, smart city, smart citizenship competences, cyberphysical systems, learning design, social networks, learning technology, smart grid, collaborative learning, Internet of Things
National Category
Learning Computer and Information Sciences
Research subject
Distributed Real-Time Systems
Identifiers
urn:nbn:se:his:diva-13400 (URN)10.1145/3041021.3054167 (DOI)978-1-4503-4913-0 (ISBN)
Conference
International World Wide Web Conference, Perth, Australia, April 3–7, 2017
Projects
Kraftsamling Smarta Nät
Funder
Region Västra Götaland, dnr MN 39-2015
Available from: 2017-02-18 Created: 2017-02-18 Last updated: 2018-01-25Bibliographically approved
Rose, J., Berndtsson, M., Mathiason, G. & Larsson, P. (2017). The advanced analytics Jumpstart: definition, process model, best practices. Journal of Information Systems and Technology Management, 14(3), 339-360
Open this publication in new window or tab >>The advanced analytics Jumpstart: definition, process model, best practices
2017 (English)In: Journal of Information Systems and Technology Management, ISSN 1809-2640, E-ISSN 1807-1775, Vol. 14, no 3, p. 339-360Article in journal (Refereed) Published
National Category
Information Systems, Social aspects
Research subject
Information Systems; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-14768 (URN)10.4301/S1807-17752017000300003 (DOI)
Projects
Big Data Fusion (BISON)
Available from: 2018-02-22 Created: 2018-02-22 Last updated: 2018-04-25Bibliographically approved
Steinhauer, H. J., Helldin, T., Karlsson, A. & Mathiason, G. (2017). Topic Modeling for Situation Understanding in Telecommunication Networks. In: 2017 27th International Telecommunication Networks and Applications Conference (ITNAC): . Paper presented at 27th International Telecommunication Networks and Applications Conference (ITNAC), 22-24 November 2017, Melbourne, Australia (pp. 73-78). IEEE
Open this publication in new window or tab >>Topic Modeling for Situation Understanding in Telecommunication Networks
2017 (English)In: 2017 27th International Telecommunication Networks and Applications Conference (ITNAC), IEEE, 2017, p. 73-78Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2017
Series
International Telecommunication Networks and Applications Conference (ITNAC), E-ISSN 2474-154X
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-14591 (URN)10.1109/ATNAC.2017.8215362 (DOI)000427574400013 ()978-1-5090-6796-1 (ISBN)978-1-5090-6795-4 (ISBN)978-1-5090-6797-8 (ISBN)
Conference
27th International Telecommunication Networks and Applications Conference (ITNAC), 22-24 November 2017, Melbourne, Australia
Available from: 2017-12-18 Created: 2017-12-18 Last updated: 2018-04-25Bibliographically approved
Steinhauer, H. J., Karlsson, A., Mathiason, G. & Helldin, T. (2016). Root-Cause Localization using Restricted Boltzmann Machines. In: 2016 19th International Conference on Information Fusion Proceedings: . Paper presented at 19th International Conference on Information Fusion, Heidelberg, Germany - July 5-8, 2016 (pp. 248-255). IEEE Computer Society
Open this publication in new window or tab >>Root-Cause Localization using Restricted Boltzmann Machines
2016 (English)In: 2016 19th International Conference on Information Fusion Proceedings, IEEE Computer Society, 2016, p. 248-255Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE Computer Society, 2016
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-12884 (URN)000391273400034 ()2-s2.0-84992092150 (Scopus ID)9780996452748 (ISBN)978-1-5090-2012-6 (ISBN)
Conference
19th International Conference on Information Fusion, Heidelberg, Germany - July 5-8, 2016
Available from: 2016-09-07 Created: 2016-09-07 Last updated: 2018-04-12Bibliographically approved
Ding, J., Lindström, B., Mathiason, G. & Andler, S. F. (2015). Towards Threat Modeling for CPS-based Critical Infrastructure Protection. In: Snjezana Knezic & Meen Poudyal Chhetri (Ed.), Proceedings of the International Emergency Management Society (TIEMS), 22nd TIEMS Annual Conference: Evolving threats and vulnerability landscape: new challenges for the emergency management. Paper presented at The 22nd International Emergency Management Society (TIEMS) Annual Conference, Rome, Italy, 30th September – 2nd October 2015. Brussels: TIEMS, The International Emergency Management Society, 22
Open this publication in new window or tab >>Towards Threat Modeling for CPS-based Critical Infrastructure Protection
2015 (English)In: Proceedings of the International Emergency Management Society (TIEMS), 22nd TIEMS Annual Conference: Evolving threats and vulnerability landscape: new challenges for the emergency management / [ed] Snjezana Knezic & Meen Poudyal Chhetri, Brussels: TIEMS, The International Emergency Management Society , 2015, Vol. 22Conference paper, Published paper (Refereed)
Abstract [en]

With the evolution of modern Critical Infrastructures (CI), more Cyber-Physical systems are integrated into the traditional CIs. This makes the CIs a multidimensional complex system, which is characterized by integrating cyber-physical systems into CI sectors (e.g., transportation, energy or food & agriculture). This integration creates complex interdependencies and dynamics among the system and its components. We suggest using a model with a multi-dimensional operational specification to allow detection of operational threats. Embedded (and distributed) information systems are critical parts of the CI where disruption can lead to serious consequences. Embedded information system protection is therefore crucial. As there are many different stakeholders of a CI, comprehensive protection must be viewed as a cross-sector activity to identify and monitor the critical elements, evaluate and determine the threat, and eliminate potential vulnerabilities in the CI. A systematic approach to threat modeling is necessary to support the CI threat and vulnerability assessment. We suggest a Threat Graph Model (TGM) to systematically model the complex CIs. Such modeling is expected to help the understanding of the nature of a threat and its impact on throughout the system. In order to handle threat cascading, the model must capture local vulnerabilities as well as how a threat might propagate to other components. The model can be used for improving the resilience of the CI by encouraging a design that enhances the system's ability to predict threats and mitigate their damages. This paper surveys and investigates the various threats and current approaches to threat modeling of CI. We suggest integrating both a vulnerability model and an attack model, and we incorporate the interdependencies within CI cross CI sectors. Finally, we present a multi-dimensional threat modeling approach for critical infrastructure protection.

Place, publisher, year, edition, pages
Brussels: TIEMS, The International Emergency Management Society, 2015
Keyword
Critical infrastructure protection (CIP), threat modeling, threat cascading, threat mitigation
National Category
Computer and Information Sciences
Research subject
Natural sciences; Technology
Identifiers
urn:nbn:se:his:diva-11622 (URN)978-94-90297-13-8 (ISBN)
Conference
The 22nd International Emergency Management Society (TIEMS) Annual Conference, Rome, Italy, 30th September – 2nd October 2015
Available from: 2015-10-22 Created: 2015-10-22 Last updated: 2018-01-11Bibliographically approved
Mathiason, G. (2009). Virtual Full Replication for Scalable Distributed Real-Time Databases. (Doctoral dissertation). Linköping University
Open this publication in new window or tab >>Virtual Full Replication for Scalable Distributed Real-Time Databases
2009 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

A fully replicated distributed real-time database provides high availability and predictable access times, independent of user location, since all the data is available at each node. However, full replication requires that all updates are replicated to every node, resulting in exponential growth of bandwidth and processing demands with the number of nodes and objects added. To eliminate this scalability problem, while retaining the advantages of full replication, this thesis explores Virtual Full Replication (ViFuR); a technique that gives database users a perception of using a fully replicated database while only replicating a subset of the data.

We use ViFuR in a distributed main memory real-time database where timely transaction execution is required. ViFuR enables scalability by replicating only data used at the local nodes. Also, ViFuR enables flexibility by adaptively replicating the currently used data, effectively providing logical availability of all data objects. Hence, ViFuR substantially reduces the problem of non-scalable resource usage of full replication, while allowing timely execution and access to arbitrary data objects.

In the thesis we pursue ViFuR by exploring the use of database segmentation. We give a scheme (ViFuR-S) for static segmentation of the database prior to execution, where access patterns are known a priori. We also give an adaptive scheme (ViFuR-A) that changes segmentation during execution to meet the evolving needs of database users. Further, we apply an extended approach of adaptive segmentation (ViFuR-ASN) in a wireless sensor network - a typical dynamic large-scale and resource-constrained environment. We use up to several hundreds of nodes and thousands of objects per node, and apply a typical periodic transaction workload with operation modes where the used data set changes dynamically. We show that when replacing full replication with ViFuR, resource usage scales linearly with the required number of concurrent replicas, rather than exponentially with the system size.

Place, publisher, year, edition, pages
Linköping University, 2009. p. 213
Series
Linköping Studies in Science and Technology, ISSN 0345-7524 ; 1281
Keyword
Scalability, Flexibility, Adaptiveness, Database Replication, Resource Management, Distributed Database, Real-time Database
National Category
Computer and Information Sciences Computer Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-3533 (URN)978-91-7393-503-6 (ISBN)
Public defence
(English)
Available from: 2010-01-19 Created: 2010-01-04 Last updated: 2018-01-12Bibliographically approved
Mathiason, G., Andler, S. F. & Kang, W. (2008). Exploring a Multi-Tiered Whiteboard Infrastructure for Information Fusion in Wireless Sensor Networks. In: Proceedings of the second Skövde Workshop on Information Fusion Topics (SWIFT 2008) (pp. 63-66). Skövde University
Open this publication in new window or tab >>Exploring a Multi-Tiered Whiteboard Infrastructure for Information Fusion in Wireless Sensor Networks
2008 (English)In: Proceedings of the second Skövde Workshop on Information Fusion Topics (SWIFT 2008), Skövde University , 2008, p. 63-66Conference paper, Published paper (Refereed)
Abstract [en]

 It is important for the life time of a wireless sensor network (WSN) to reduce the amount of data transferred through the network. As a typical approach, sensor data is filtered before propagating updates, to a node at the edge of a network, where it can be fused. Information Fusion inside the network can reduce the amount of data propagated, by fusing data before and in propagation, without losing the information value in it. We explore infrastructures for distributed fusion, with fusion nodes located at strategic nodes inside the network, as an approach of structured distributed fusion for WSNs. We propose an infrastructure for a white-board approach that uses a distributed real-time database with virtual full replication. With such an approach, both raw and fused data are logically available at all nodes and physically available where used, such that only used data will be propagated and use resources. The actual resource usage will be relative to the actual demand for data, rather than to the amount of data published at the white-board. We present an exploration of such an infrastructure, and points out future key research questions for such a white-board approach.

 

Place, publisher, year, edition, pages
Skövde University, 2008
Series
SUSI: Skövde University Studies in Informatics, ISSN 1653-2325 ; 2008:1
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-2924 (URN)978-91-633-3697-3, 978-91-633-3697-3 (www) (ISBN)
Available from: 2009-04-01 Created: 2009-04-01 Last updated: 2017-11-27
Mathiason, G., Andler, S. F. & Son, S. H. (2008). Virtual Full Replication for Scalable and Adaptive Real-Time Communication in Wireless Sensor Networks. In: Proceedings of the Second International Conference on Sensor Technologies and Applications (SENSORCOMM 2008) (pp. 55-64). IEEE Computer Society
Open this publication in new window or tab >>Virtual Full Replication for Scalable and Adaptive Real-Time Communication in Wireless Sensor Networks
2008 (English)In: Proceedings of the Second International Conference on Sensor Technologies and Applications (SENSORCOMM 2008), IEEE Computer Society , 2008, p. 55-64Conference paper, Published paper (Refereed)
Abstract [en]

 

Sensor networks have limited resources and often support large-scale applications that need scalable propagation of sensor data to users. We propose a white-board style of communication in sensor networks using a distributed real-time database supporting Virtual Full Replication with Adaptive Segmentation. This allows mobile client nodes to access, transparently and efficiently, any sensor data at any node in the network. We present a two-tiered wireless architecture, and an adaptation protocol, for scalable and adaptive white-board communication in large-scale sensor networks. Sensor value readings at nodes of the sensor tier are published at nodes of the database tier as database updates to objects in a distributed real-time database. The search space of client nodes for sensor data is thus limited to the number of database nodes. With this scheme, we can show scalable resource usage and short adaptation times for several hundreds of database nodes and up to 50 moving clients.

 

Place, publisher, year, edition, pages
IEEE Computer Society, 2008
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-3619 (URN)10.1109/SENSORCOMM.2008.74 (DOI)978-0-7695-3330-8 (ISBN)
Available from: 2010-02-01 Created: 2010-02-01 Last updated: 2017-11-27
Andler, S. F., Brohede, M., Gustavsson, S. & Mathiason, G. (2007). DeeDS NG: Architecture, Design, and Sample Application Scenario. In: Handbook of Real-Time and Embedded Systems. CRC Press
Open this publication in new window or tab >>DeeDS NG: Architecture, Design, and Sample Application Scenario
2007 (English)In: Handbook of Real-Time and Embedded Systems, CRC Press, 2007Chapter in book (Other academic)
Place, publisher, year, edition, pages
CRC Press, 2007
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-2058 (URN)1-58488-678-1 (ISBN)
Available from: 2008-05-19 Created: 2008-05-19 Last updated: 2017-11-27Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-7106-0025

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