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Publications (10 of 190) Show all publications
Jinzhi, L., Guoxin, W., Xin, T., Jian, W. & Törngren, M. (2019). A Domain-specific Modeling Approach to Supporting Toolchain Development.
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2019 (English)Report (Other academic)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-251327 (URN)
Note

QCR 20190520

Available from: 2019-05-13 Created: 2019-05-13 Last updated: 2019-06-17Bibliographically approved
Jinzhi, L., Guoxin, W., Jiangmin, G., Hang, z. & Törngren, M. (2019). A General Modeling Language Supporting Model-based Systems Engineering Formalisms (Part 1). In: : . Paper presented at 29th Annual INCOSE International Symposium.
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2019 (English)Conference paper, Published paper (Refereed)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-250673 (URN)
Conference
29th Annual INCOSE International Symposium
Note

QC 20190522

Available from: 2019-05-02 Created: 2019-05-02 Last updated: 2019-05-22Bibliographically approved
Jinzhi, L., Chen, D., Jian, W., Guoxin, W. & Törngren, M. (2019). A Model-based Systems Engineering Tool-chain Supporting Automated Co-Simulation. Integrated Computer-Aided Engineering
Open this publication in new window or tab >>A Model-based Systems Engineering Tool-chain Supporting Automated Co-Simulation
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2019 (English)In: Integrated Computer-Aided Engineering, ISSN 1069-2509, E-ISSN 1875-8835Article in journal (Other academic) Published
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-251328 (URN)
Note

QCR 20190522

Available from: 2019-05-13 Created: 2019-05-13 Last updated: 2019-05-22Bibliographically approved
Mohan, N. & Törngren, M. (2019). AD-eye: A co-simulation platform for early verification of functional safety concepts. Paper presented at 9 April 2019 through 11 April 2019. SAE technical paper series, 2019-April(April)
Open this publication in new window or tab >>AD-eye: A co-simulation platform for early verification of functional safety concepts
2019 (English)In: SAE technical paper series, ISSN 0148-7191, Vol. 2019-April, no AprilArticle in journal (Refereed) Published
Abstract [en]

Automated Driving is revolutionizing many of the traditional ways of operation in the automotive industry. The impact on safety engineering of automotive functions is arguably one of the most important changes. There has been a need to re-think the impact of the partial or complete absence of the human driver (in terms of a supervisory entity) in not only newly developed functions but also in the qualification of the use of legacy functions in new contexts. The scope of the variety of scenarios that a vehicle may encounter even within a constrained Operational Design Domain, and the highly dynamic nature of Automated Driving, mean that new methods such as simulation can greatly aid the process of safety engineering. This paper discusses the need for early verification of the Functional Safety Concepts (FSCs), details the information typically available at this stage in the product lifecycle, and proposes a co-simulation platform named AD-EYE designed for exploiting the possibilities in an industrial context by evaluating design decisions and refining Functional Safety Requirements based on a reusable scenario database. Leveraging our prior experiences in developing FSCs for Automated Driving functions, and the preliminary implementation of co-simulation platform, we demonstrate the advantages and identify the limitations of using simulations for refinement and early FSC verification using examples of types of requirements that could benefit from our methodology.

Place, publisher, year, edition, pages
SAE International, 2019
Keywords
Automated Driving, Autoware, Early stage verification, Functional Safety, ISO 26262, MATLAB, Preliminary Architectural Assumptions, ROS, Simulink, Accident prevention, Automation, Automotive industry, Life cycle, Product design, Solar concentrators, Simulation platform
National Category
Embedded Systems
Identifiers
urn:nbn:se:kth:diva-255939 (URN)10.4271/2019-01-0126 (DOI)2-s2.0-85064661668 (Scopus ID)
Conference
9 April 2019 through 11 April 2019
Note

QC 20190816

Available from: 2019-08-16 Created: 2019-08-16 Last updated: 2019-08-16Bibliographically approved
Jinwei, C., Zhenchao, H., Lu, J., Huisheng, Z., Sihan, H. & Törngren, M. (2019). An Open Source Lifecycle Collaboration Approach Supporting Internet of Things System Development. In: : . Paper presented at IEEE – 14th System of Systems Engineering Conference, Anchorage, Alaska, 2019, May 19-22.
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2019 (English)Conference paper, Published paper (Refereed)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-250674 (URN)
Conference
IEEE – 14th System of Systems Engineering Conference, Anchorage, Alaska, 2019, May 19-22
Note

QC 20190502

Available from: 2019-05-02 Created: 2019-05-02 Last updated: 2019-05-02Bibliographically approved
Chen, J., Hu, Z., Jinzhi, L., Zhang, H., Huang, S. & Törngren, M. (2019). An Open Source Lifecycle Collaboration Approach Supporting Internet of Things System Development. In: 2019 14TH ANNUAL CONFERENCE SYSTEM OF SYSTEMS ENGINEERING (SOSE): . Paper presented at 14th Annual Conference System of Systems Engineering (SoSE), Anchorage, AK, MAY 19-22, 2019 (pp. 63-68). IEEE
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2019 (English)In: 2019 14TH ANNUAL CONFERENCE SYSTEM OF SYSTEMS ENGINEERING (SOSE), IEEE , 2019, p. 63-68Conference paper, Published paper (Refereed)
Abstract [en]

The internet of things (IoT) system integrates heterogeneous systems using centric services to provide a single open solution to process sensor data. During the whole life cycle of IoT systems, developers face the problems of interface management and data interoperability led by increasing complexity. Such problems decrease the efficiency of IoT system development and implementation, such as interface configurations for domain specific systems are difficult if there is not a unified specification. This paper proposed an Open Services for Lifecycle Collaboration (OSLC) approach supporting IoT system development and implementation. The approach integrates domain specific data across the whole lifecycle including development models and sensor data. Moreover, it enables interface management for IoT system development and real-time monitoring for implementations. From the case study, we find an OSLC-based tool, Datalinks, supports data integration and interface management which improves the development efficiency and data interoperability of IoT systems. The integrated data based on OSLC acts the mid-wares of data exchange between physical space and virtual space of IoT system. Moreover, the OSLC-based interfaces are developed based on unified specifications whose reusability is promoted for the future development.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Internet of Things system, OSLC specification, Lifecycle data integration, Interface management and configuration
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-260217 (URN)10.1109/SYSOSE.2019.8753883 (DOI)000483472500011 ()2-s2.0-85069754537 (Scopus ID)
Conference
14th Annual Conference System of Systems Engineering (SoSE), Anchorage, AK, MAY 19-22, 2019
Note

QC 20190930

Available from: 2019-09-30 Created: 2019-09-30 Last updated: 2019-09-30Bibliographically approved
McCann, J. A., Picco, G. P., Gluhak, A., Johansson, K. H., Törngren, M. & Gide, L. (2019). Connected Things Connecting Europe. Communications of the ACM, 62(4), 46-51
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2019 (English)In: Communications of the ACM, ISSN 0001-0782, E-ISSN 1557-7317, Vol. 62, no 4, p. 46-51Article in journal, Editorial material (Refereed) Published
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2019
National Category
Computer Sciences
Identifiers
urn:nbn:se:kth:diva-249869 (URN)10.1145/3312563 (DOI)000462529000019 ()2-s2.0-85063420959 (Scopus ID)
Note

QC 20190424

Available from: 2019-04-24 Created: 2019-04-24 Last updated: 2019-10-09Bibliographically approved
Jinzhi, L., Xinguo, W. & Törngren, M. (2019). Design Ontology in a Case Study for Co-simulation in a Model-based Systems Engineering Tool-chain. IEEE Systems journal
Open this publication in new window or tab >>Design Ontology in a Case Study for Co-simulation in a Model-based Systems Engineering Tool-chain
2019 (English)In: IEEE Systems journalArticle in journal, Editorial material (Refereed) Published
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-250675 (URN)
Note

QCR 20190625

Available from: 2019-05-02 Created: 2019-05-02 Last updated: 2019-08-27Bibliographically approved
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
Open this publication in new window or tab >>Digitalizing Swedish industry: What is next?: Data analytics readiness assessment of Swedish industry, according to survey results
2019 (English)In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 105, p. 153-163Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Elsevier B.V., 2019
Keywords
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
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-248227 (URN)10.1016/j.compind.2018.12.011 (DOI)000463848400011 ()2-s2.0-85058676734 (Scopus ID)
Note

QC 20190412

Available from: 2019-04-12 Created: 2019-04-12 Last updated: 2019-05-09Bibliographically approved
Jinzhi, L., Chen, D., Xin, T., Guoxin, W. & Törngren, M. (2019). Model-based Systems Engineering Tool-chain toSupport Development of the Internet of Things.
Open this publication in new window or tab >>Model-based Systems Engineering Tool-chain toSupport Development of the Internet of Things
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2019 (English)Report (Other academic)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-251329 (URN)
Note

QCR 20190520

Available from: 2019-05-13 Created: 2019-05-13 Last updated: 2019-05-22Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-4300-885X

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