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Publikasjoner (10 av 43) Visa alla publikasjoner
El-khoury, J., Berezovskyi, A. & Nyberg, M. (2019). An industrial evaluation of data access techniques for the interoperability of engineering software tools. JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 15, 58-68
Åpne denne publikasjonen i ny fane eller vindu >>An industrial evaluation of data access techniques for the interoperability of engineering software tools
2019 (engelsk)Inngår i: JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, ISSN 2467-964X, Vol. 15, s. 58-68Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

New industrial initiatives such as Industrie 4.0 rely on digital end-to-end engineering across the entire product lifecycle, which in turn depends on the ability of the supporting software tools to interoperate. A tool interoperability approach based on Linked Data, and the OASIS OSLC standard, has the potential to provide such integration, where each software tool can expose its information and services to other tools using the web as a common technology base. In this paper, we report on our negative findings when attempting to use existing ontology-based Linked Data access techniques to expose and manipulate the structured content managed in engineering tools. Such techniques typically target the Data Access Layer (DAL) of a tool to access and manipulate its content, with the assumption that sufficient information and control is available within this layer to automate the process. Based on a case study with the truck manufacturer Scania CV AB, our study finds that an engineering tool controls its artefacts using business logic that is not necessarily reflected at the data layer. This renders such ontology-based access techniques inadequate. Instead we propose an alternative Linked Data extraction architecture that can mitigate the identified shortcomings. While less automated compared to the existing solutions, the proposed architecture is realised as a standalone library that can still facilitate the extraction process.

sted, utgiver, år, opplag, sider
ELSEVIER, 2019
Emneord
Linked data, OSLC, Tool integration, Tool interoperability, SQL To RDF, Information management
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-261965 (URN)10.1016/j.jii.2019.04.004 (DOI)000487306100007 ()2-s2.0-85065031950 (Scopus ID)
Merknad

QC 20191015

Tilgjengelig fra: 2019-10-15 Laget: 2019-10-15 Sist oppdatert: 2019-10-15bibliografisk kontrollert
Gürdür, D., El-khoury, J. & Törngren, M. (2019). Digitalizing Swedish industry: What is next?: Data analytics readiness assessment of Swedish industry, according to survey results. Computers in industry (Print), 105, 153-163
Åpne denne publikasjonen i ny fane eller vindu >>Digitalizing Swedish industry: What is next?: Data analytics readiness assessment of Swedish industry, according to survey results
2019 (engelsk)Inngår i: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 105, s. 153-163Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Digitalization refers to enabling, improving, and transforming operations, functions, models, processes, or activities by leveraging digital technologies. Furthermore, digitalization is considered one of the most powerful drivers of innovation with the potential to trigger the next wave of innovation. Today, the importance of digitalization is well-understood in Swedish government agencies and industry. Although there are several initiatives working to actively drive change, one question is key: What is the next step? Data analytics is a promising way to turn information into outcomes, enhance decision-making, make data-driven discoveries, minimize risk, and unearth valuable insights that would otherwise remain hidden. This paper presents survey results on data analytics adoption and usage within Swedish industry, to highlight post-digitalization industry needs. To this end, a questionnaire was designed and distributed. Answers from more than 100 respondents from the manufacturing, technology, engineering, telecommunications, and automotive industries in Sweden were collected and analyzed. The assessment results show that Swedish industry has a high resources readiness score. This suggests that the necessary tools, and human resources are in place. Moreover, its cultural readiness level, which focuses on the acceptance of data-driven decision-making, scores between high and very high. At the same time, the information systems readiness level is in between medium and high, except in the telecommunication domain. However, the organizational readiness level is between medium and low, which shows that the organizations are not structured to enable the adaptation of data analytics and the business impacts of data analytics are not in place yet. These findings suggest that the industry should use the advantages of the current cultural, information systems, and resources readiness capabilities and concentrate efforts on exploring the business impacts of data analytics, ensuring the support from executive managers, and implementing data analytics protocols to improve organizational readiness. Moreover, the industry should consider structural changes in organizations, in addition to systematically initiating proper planning, timing, budgeting, and setting of clear key performance indicators/metrics in order to ameliorate the organizational readiness of data analytics.

sted, utgiver, år, opplag, sider
Elsevier B.V., 2019
Emneord
Data analytics, Data analytics readiness, Digitalization, Survey, Swedish industry, Automotive industry, Benchmarking, Budget control, Decision making, Information systems, Information use, Surveying, Surveys, Data driven decision, Digital technologies, Key performance indicators, Organizational readiness, Readiness assessment, Swedishs, Digital storage
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-248227 (URN)10.1016/j.compind.2018.12.011 (DOI)000463848400011 ()2-s2.0-85058676734 (Scopus ID)
Merknad

QC 20190412

Tilgjengelig fra: 2019-04-12 Laget: 2019-04-12 Sist oppdatert: 2019-05-09bibliografisk kontrollert
Berezovskyi, A., El-khoury, J. & Fersman, E. (2019). Linked Data Architecture for Plan Execution in Distributed CPS. In: : . Paper presented at 2019 IEEE International Conference on Industrial Technology (ICIT).
Åpne denne publikasjonen i ny fane eller vindu >>Linked Data Architecture for Plan Execution in Distributed CPS
2019 (engelsk)Konferansepaper, Poster (with or without abstract) (Fagfellevurdert)
Abstract [en]

Future cyber-physical systems (CPS) require their components to perform autonomously. To do that safely and efficiently, CPS components will need access to the global state of the whole CPS. These components will require near real-time updates to a subset of the global state to react to changes in the environment. A particular challenge is to monitor state updates from the distributed CPS components: one needs to ensure that only states consistent with the PDDL plan execution semantics can be observed within the system. In order to guarantee that, a component to monitor plan execution is proposed. Microservices based on Linked Data technologies are used to provide a uniform way to access component states, represented as Resource Description Framework (RDF) resources. To ensure the correct ordering of state updates, we present an extension of the OASIS OSLC TRS protocol. Specifically, we strengthen the ordering guarantees of state change events and introduce inlining of the state with the events to prevent state mismatch at the dereferencing stage.

HSV kategori
Forskningsprogram
Informations- och kommunikationsteknik
Identifikatorer
urn:nbn:se:kth:diva-250389 (URN)
Konferanse
2019 IEEE International Conference on Industrial Technology (ICIT)
Merknad

QC 20190430

Tilgjengelig fra: 2019-04-29 Laget: 2019-04-29 Sist oppdatert: 2019-04-30bibliografisk kontrollert
Gürdür, D., Raizer, K. & El-khoury, J. (2018). Data Visualization Support for Complex Logistics Operations and Cyber-physical Systems. In: : . Paper presented at 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Åpne denne publikasjonen i ny fane eller vindu >>Data Visualization Support for Complex Logistics Operations and Cyber-physical Systems
2018 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Today, complex logistics operations include different levels of communication and interactions. This paper explores the requirements of these operations and conceptualizes important key performance indicators, stakeholders, and different data visualizations to support the stakeholders in order to understand interactions between entities easier and faster. Three different levels were identified-supply chain, automated warehouse, and intelligent agent-to define the complex logistics operations. For each level, important stakeholders and performance indicators were determined. A case study was designed and described to exemplify the role of cyber-physical systems in complex logistics operations. Moreover, different data visualizations were developed as part of a dashboard to illustrate key performance indicators of different levels for the purpose of supporting stakeholders. This exploratory study concludes by identifying important data necessary for each performance indicator, suggesting ways to collect these data, and exemplifying how data visualization approach can be used through a dashboard design.

Emneord
Data Visualization, Information Visualization, Supply Chain, Automated Warehouse, Intelligent Agent, Cyber-Physical Systems, Dashboard Design, Soar
HSV kategori
Forskningsprogram
Maskinkonstruktion
Identifikatorer
urn:nbn:se:kth:diva-222144 (URN)
Konferanse
14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Prosjekter
SCOTT - Secure Connected Trustable Things
Merknad

QC 20180327

Tilgjengelig fra: 2018-02-01 Laget: 2018-02-01 Sist oppdatert: 2019-01-11bibliografisk kontrollert
Gürdür, D., Vulgarakis Feljan, A., El-khoury, J., Mohalik, S. K., Badrinath, R., Mujumdar, A. P. & Fersman, E. (2018). Knowledge Representation of Cyber-physical Systems for Monitoring Purpose. In: 51st CIRP Conference on Manufacturing Systems: . Paper presented at 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018, Stockholm Waterfront Congress Centre, Stockholm, Sweden, 16 May 2018 through 18 May 2018 (pp. 468-473). Elsevier, 72
Åpne denne publikasjonen i ny fane eller vindu >>Knowledge Representation of Cyber-physical Systems for Monitoring Purpose
Vise andre…
2018 (engelsk)Inngår i: 51st CIRP Conference on Manufacturing Systems, Elsevier, 2018, Vol. 72, s. 468-473Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Automated warehouses, as a form of cyber-physical systems (CPSs), require several components to work collaboratively to address the common business objectives of complex logistics systems. During the collaborative operations, a number of key performance indicators (KPI) can be monitored to understand the proficiency of the warehouse and control the operations and decisions. It is possible to drive and monitor these KPIs by looking at both the state of the warehouse components and the operations carried out by them. Therefore, it is necessary to represent this knowledge in an explicit and formally-specified data model and provide automated methods to derive the KPIs from the representation. In this paper, we implement a minimalistic data model for a subset of warehouse resources using linked data in order to monitor a few KPIs, namely sustainability, safety and performance. The applicability of the approach and the data model is illustrated through a use case. We demonstrate that it is possible to develop minimalistic data models through Open Services for Lifecycle Collaboration (OSLC) resource shapes which enables compatibility with the declarative and procedural knowledge of automated warehouse agents specified in Planning Domain Definition Language (PDDL).

sted, utgiver, år, opplag, sider
Elsevier, 2018
Serie
Procedia CIRP, ISSN 2212-8271 ; 72
HSV kategori
Forskningsprogram
Datalogi
Identifikatorer
urn:nbn:se:kth:diva-228233 (URN)10.1016/j.procir.2018.03.018 (DOI)2-s2.0-85049594479 (Scopus ID)
Konferanse
51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018, Stockholm Waterfront Congress Centre, Stockholm, Sweden, 16 May 2018 through 18 May 2018
Prosjekter
SCOTT
Merknad

QC 20180530

Tilgjengelig fra: 2018-05-21 Laget: 2018-05-21 Sist oppdatert: 2019-01-11bibliografisk kontrollert
Gürdür, D., El-khoury, J. & Nyberg, M. (2018). Methodology for Linked Enterprise Data Quality Assessment Through Information Visualizations. Journal of Industrial Information Integration, 15, 191-200
Åpne denne publikasjonen i ny fane eller vindu >>Methodology for Linked Enterprise Data Quality Assessment Through Information Visualizations
2018 (engelsk)Inngår i: Journal of Industrial Information Integration, ISSN 2452-414X, Vol. 15, s. 191-200Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Today’s development environments in the manufacturing industry require different development tools to work together. These complex environments are highly heterogeneous and constantly changing, and the development tools are producing a huge amount of data. As a result, these development environments must overcome a significant problem related to data integration. In this paper, we examine a case study from the automotive industry using the linked enterprise data approach to integrate data from different development tools. The study explains and applies a data quality assessment methodology as a post-integration phase for linked enterprise data. 

In this study, important data quality dimensions from the literature are merged with empirical rules that have been defined by Scania CV AB employees. As a result, a comprehensive methodology is developed and introduced to assess these data quality dimensions. This paper presents the methodology, which aims to develop a data quality assessment tool—a dashboard—in addition to policies and protocols to manage data quality. Moreover, the proposed methodology includes systematic guidelines for planning the data quality assessment activity, extracting requirements for the data quality management, setting priorities to expedite the adaptation, identifying dimensions and metrics to ease the understanding, and visualizing these dimensions and metrics to assess the overall data quality.

sted, utgiver, år, opplag, sider
Elsevier, 2018
Emneord
data quality, linked data, quality assessment, linked enterprise data, information visualization, methodology
HSV kategori
Forskningsprogram
Datalogi
Identifikatorer
urn:nbn:se:kth:diva-232357 (URN)10.1016/j.jii.2018.11.002 (DOI)000487306100019 ()2-s2.0-85056004408 (Scopus ID)
Merknad

QC 20180822

Tilgjengelig fra: 2018-07-20 Laget: 2018-07-20 Sist oppdatert: 2019-10-11bibliografisk kontrollert
Gürdür, D., El-khoury, J., Seceleanu, T., Johansson, M. & Hansen, S. (2017). Data Visualization of A Cyber-Physical Systems Development Toolchain: An Integration Case Study. In: ALLDATA 2017: The Third International Conference on Big Data, Small Data, Linked Data and Open Data. Paper presented at ALLDATA 2017. Venice, Italy: IARIA XPS Press
Åpne denne publikasjonen i ny fane eller vindu >>Data Visualization of A Cyber-Physical Systems Development Toolchain: An Integration Case Study
Vise andre…
2017 (engelsk)Inngår i: ALLDATA 2017: The Third International Conference on Big Data, Small Data, Linked Data and Open Data, Venice, Italy: IARIA XPS Press , 2017Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Development of Cyber-Physical Systems (CPS) requires various engineering disciplines, artifacts, and areas of expertise to collaborate. There are powerful software tools, which are used during CPS development, but it is often challenging to integrate these tools with each other. This paper proposes a data visualization approach to understanding current interoperability status and the integration needs in CPS development toolchains, and make decisions on potential integration scenarios accordingly. To this end, a case study is introduced based on a toolchain for the development of an embedded application at ABB Corporate Research. The node-link diagram (NLD) data visualization technique was used to understand integration needs and priorities. The study showed that the NLD visualization has the potential to inform toolchain architects about the interoperability situation and help them to make decisions accordingly, especially for small toolchains. Moreover, the integration solution is implemented and the result has been compared with the non-integration study.

sted, utgiver, år, opplag, sider
Venice, Italy: IARIA XPS Press, 2017
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-208379 (URN)978-1-61208-552-4 (ISBN)
Konferanse
ALLDATA 2017
Merknad

QC 20170626

Tilgjengelig fra: 2017-06-05 Laget: 2017-06-05 Sist oppdatert: 2017-06-26bibliografisk kontrollert
Berezovskyi, A., El-khoury, J., Kacimi, O. & Loiret, F. (2017). Improving lifecycle query in integrated toolchains using linked data and MQTT-based data warehousing. In: : . Paper presented at The 7th International Conference on the Internet of Things (IoT 2017). LInz, Austria
Åpne denne publikasjonen i ny fane eller vindu >>Improving lifecycle query in integrated toolchains using linked data and MQTT-based data warehousing
2017 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

  The development of increasingly complex IoT systems requires large engineering environments. These environments generally consist of tools from different vendors and are not necessarily integrated well with each other. In order to automate various analyses, queries across resources from multiple tools have to be executed in parallel to the engineering activities. In this paper, we identify the necessary requirements on such a query capability and evaluate different architectures according to these requirements. We propose an improved lifecycle query architecture, which builds upon the existing Tracked Resource Set (TRS) protocol, and complements it with the MQTT messaging protocol in order to allow the data in the warehouse to be kept updated in real-time. As part of the case study focusing on the development of an IoT automated warehouse, this architecture was implemented for a toolchain integrated using RESTful microservices and linked data. 

sted, utgiver, år, opplag, sider
LInz, Austria: , 2017
HSV kategori
Forskningsprogram
Informations- och kommunikationsteknik
Identifikatorer
urn:nbn:se:kth:diva-250330 (URN)
Konferanse
The 7th International Conference on the Internet of Things (IoT 2017)
Merknad

QC 20190430

Tilgjengelig fra: 2019-04-29 Laget: 2019-04-29 Sist oppdatert: 2019-04-30bibliografisk kontrollert
Gürdür, D. & El-khoury, J. (2016). Making Interoperability Visible: Data Visualization of Cyber-Physical Systems Development Tool Chains. Journal of Industrial Information Integration, 4, 26-34
Åpne denne publikasjonen i ny fane eller vindu >>Making Interoperability Visible: Data Visualization of Cyber-Physical Systems Development Tool Chains
2016 (engelsk)Inngår i: Journal of Industrial Information Integration, ISSN 2452-414X, Vol. 4, s. 26-34Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Cyber-physical system (CPS) development cycles include various engineering disciplines, artefacts, and areas of expertise. There are powerful software tools used in these cycles, which can be put to good use by one individual discipline but are challenging to integrate with other tools. This paper discusses a node-link diagram (NLD) visualization technique that can be used to visualize interoperability in CPS development tool chains. The purpose is to help tool chain developers assess the current interoperability status and make decisions on integration scenarios accordingly. To this end, a case study is introduced and explained as an example. Data about the tool chain, which contains different structures relating to the software tools usage and the interactions between them, are provided by ABB Corporate Research Centre. These structures are used in creation of visualizations for making interoperability visible in CPS development tool chains and applicability of each visualization technique is discussed with the interoperability perspective. In this study, we also exercised a clustering algorithm for an extended case study and discussed the use of visualizations to improve interoperability in CPS development environments.

sted, utgiver, år, opplag, sider
Elsevier, 2016
Emneord
Cyber-physical system interoperability; Interoperability visualization; Development tool chains; Data visualization; Node-link diagram
HSV kategori
Forskningsprogram
Informations- och kommunikationsteknik; Maskinkonstruktion; Datalogi
Identifikatorer
urn:nbn:se:kth:diva-196530 (URN)10.1016/j.jii.2016.09.002 (DOI)
Merknad

QC 20161206

Tilgjengelig fra: 2016-11-15 Laget: 2016-11-15 Sist oppdatert: 2019-01-11bibliografisk kontrollert
El-Khoury, J., Gürdür, D., Loiret, F., Törngren, M., Zhang, D. & Nyberg, M. (2016). Modelling Support for a Linked Data Approach to Tool Interoperability. In: The Second International Conference on Big Data, Small Data, Linked Data and Open Data, ALLDATA, Lisbon, February 21 - 25, 2016.: . Paper presented at ALLDATA 2016 : The Second International Conference on Big Data, Small Data, Linked Data and Open Data (includes KESA 2016) (pp. 42-47).
Åpne denne publikasjonen i ny fane eller vindu >>Modelling Support for a Linked Data Approach to Tool Interoperability
Vise andre…
2016 (engelsk)Inngår i: The Second International Conference on Big Data, Small Data, Linked Data and Open Data, ALLDATA, Lisbon, February 21 - 25, 2016., 2016, s. 42-47Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Linked Data is increasingly being adopted for the integration of software tools, especially with the emergence of the Open Services for Lifecycle Collaboration (OSLC) standard on tool interoperability. In this paper, we present a modelling approach – with accompanying tool support – for the specification of Linked Data resources, focusing on the particular needs of tool-chain development. The approach provides graphical models for the specification of constraints on resources being shared in the tool-chain. Moreover, it aims to maintain a centralized understanding and management of the overall information model being handled in the federated tool-chain architecture. This is achieved through an integrated set of modelling views that cover the early phases of tool-chain development.

Emneord
Linked data modelling, OSLC, resource shapes, tool integration, information modelling
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-184090 (URN)978-1-61208-457-2 (ISBN)
Konferanse
ALLDATA 2016 : The Second International Conference on Big Data, Small Data, Linked Data and Open Data (includes KESA 2016)
Merknad

QC 20160405

Tilgjengelig fra: 2016-03-23 Laget: 2016-03-23 Sist oppdatert: 2016-10-25bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-0889-5190