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  • Abghari, Shahrooz
    et al.
    Boeva, Veselka
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.
    Brage, Jens
    NODA Intelligent Systems AB, SWE.
    Johansson, Christian
    NODA Intelligent Systems AB, SWE.
    Grahn, Håkan
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.
    Lavesson, Niklas
    J önk öping University, SWE.
    Higher order mining for monitoring district heating substations2019Ingår i: Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Institute of Electrical and Electronics Engineers Inc. , 2019, s. 382-391Konferensbidrag (Refereegranskat)
    Abstract [en]

    We propose a higher order mining (HOM) approach for modelling, monitoring and analyzing district heating (DH) substations' operational behaviour and performance. HOM is concerned with mining over patterns rather than primary or raw data. The proposed approach uses a combination of different data analysis techniques such as sequential pattern mining, clustering analysis, consensus clustering and minimum spanning tree (MST). Initially, a substation's operational behaviour is modeled by extracting weekly patterns and performing clustering analysis. The substation's performance is monitored by assessing its modeled behaviour for every two consecutive weeks. In case some significant difference is observed, further analysis is performed by integrating the built models into a consensus clustering and applying an MST for identifying deviating behaviours. The results of the study show that our method is robust for detecting deviating and sub-optimal behaviours of DH substations. In addition, the proposed method can facilitate domain experts in the interpretation and understanding of the substations' behaviour and performance by providing different data analysis and visualization techniques. © 2019 IEEE.

  • Fredriksson, Henrik
    et al.
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för matematik och naturvetenskap.
    Dahl, Mattias
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för matematik och naturvetenskap.
    Holmgren, Johan
    Malmö Högskola, SWE.
    Optimal placement of charging stations for electric vehicles in large-scale transportation networks2019Ingår i: Procedia Computer Science, Elsevier B.V. , 2019, Vol. 160, s. 77-84Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents a new practical approach to optimally allocate charging stations in large-scale transportation networks for electric vehicles (EVs). The problem is of particular importance to meet the charging demand of the growing fleet of alternative fuel vehicles. Considering the limited driving range of EVs, there is need to supply EV owners with accessible charging stations to reduce their range anxiety. The aim of the Route Node Coverage (RNC) problem, which is considered in the current paper, is to find the minimum number of charging stations, and their locations in order to cover the most probable routes in a transportation network. We propose an iterative approximation technique for RNC, where the associated Integer Problem (IP) is solved by exploiting a probabilistic random walk route selection, and thereby taking advantage of the numerical stability and efficiency of the standard IP software packages. Furthermore, our iterative RNC optimization procedure is both pertinent and straightforward to implement in computer coding and the design technique is therefore highly applicable. The proposed optimization technique is applied on the Sioux-Falls test transportation network, and in a large-scale case study covering the southern part of Sweden, where the focus is on reaching the maximum coverage with a minimum number of charging stations. The results are promising and show that the flexibility, smart route selection, and numerical efficiency of the proposed design technique, can pick out strategic locations for charging stations from thousands of possible locations w ithout numerical difficulties. ©2019 Hie Authors. Published by Elsevier B.V.

  • Chowdhery, Syed Azad
    et al.
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Bertoni, Marco
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Wall, Johan
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Larsson, Tobias
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    A data-driven design framework for early stage PSS design explorationIngår i: Design Science, ISSN 2053-4701Artikel i tidskrift (Övrig (populärvetenskap, debatt, mm))
    Abstract [en]

    Ubiquitous and pervasive computing holds great potential in the domain of Product-Service Systems to introduce a model-driven paradigm for decision support. Data-driven design is often discussed as a critical enabler for developing simulation models that comprehensively explore the PSS design space for complex systems, linking of performances to customer and provider value. Emerging from the findings of two empirical studies conducted in collaboration with multinational manufacturing companies in the business-to-business market, this paper defines a data-driven framework to support engineering teams in exploring, early in the design process, the available design space for Product-Service Systems from a value perspective. Verification activities show that the framework and modeling approach is considered to fill a gap when it comes to stimulating value discussions across functions and organizational roles, as well as to grow a clearer picture of how different disciplines contribute to the creation of value for new solutions.

  • Olofsdotter Bergström, Annika
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för teknik och estetik.
    Ta plats: Plats-specifika spel i dialog med feministisk teknovetenskap2020Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
  • Barlo, Alexander
    et al.
    Volvo, SWE.
    Sigvant, Mats
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Endelt, Benny
    Aalborg Universitet, DEN.
    On the Failure Prediction of Dual-Phase Steel and Aluminium Alloys Exposed to Combined Tension and Bending2019Ingår i: IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing , 2019, Vol. 651, nr 1, artikel-id 012030Konferensbidrag (Refereegranskat)
    Abstract [en]

    The interest in accurate prediction of failure of sheet metals in the automotive industry has increased significantly over the last two decades. This paper aims to evaluate two failure prediction approaches implemented in the commercial Finite Element code AutoFormplus R7.04; (i) the standard Forming Limit Diagram (FLD), and (ii) the Non-linear Forming Limit Diagram. The evaluation will be testing the two approaches accuracy on predicting failure of both an AA6016 aluminium alloy and a CR440Y780T-DP dual-phase steel alloy specimen exposed to combined tension and bending. Based on the findings of this study, it is concluded that neither of the evaluated approaches is able to accurately predict failure in both cases presented. © Published under licence by IOP Publishing Ltd.

  • Chezan, A. R.
    et al.
    Tata Steel Europe Limited, GBR.
    Khandeparkar, Tushar V.
    Tata Steel Europe Limited, GBR.
    Ten Horn, Carel H. L. J.
    Tata Steel Europe Limited, GBR.
    Sigvant, Mats
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Accurate sheet metal forming modeling for cost effective automotive part production2019Ingår i: IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing , 2019, nr 1Konferensbidrag (Refereegranskat)
    Abstract [en]

    Recent implementations of accurate material and tribology models in finite element codes for sheet metal forming process development have the potential to reduce development time and the associated development costs significantly. Adoption of new models requires validated material parameters and assessments of the overall accuracy. The paper presents a study aimed at accuracy estimation by comparing strain measurements and finite element simulation results for a laboratory flat bottom hole expansion test and an industrial automotive component produced at Volvo Cars. The use of the tensile test based Tata Steel Vegter yield locus model results in accurate prediction of dimensions and plastic deformation distribution in sheet metal forming applications. © Published under licence by IOP Publishing Ltd.

  • Andersson, Martin
    et al.
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för industriell ekonomi.
    Kim, Hong-sok
    Seoul National University, PRK.
    Kohlhase, Janet
    University of Houston, USA.
    Editorial Annals of Regional Science2020Ingår i: The annals of regional science, ISSN 0570-1864, E-ISSN 1432-0592Artikel i tidskrift (Refereegranskat)
  • Hansson, Christina
    Blekinge Tekniska Högskola, Enheten för utbildningsutveckling.
    Lärarlärdom: högskolepedagogisk konferens 20192019Samlingsverk (redaktörskap) (Refereegranskat)
    Abstract [sv]

    Högskolepedagogisk utveckling har under senare år fått en tydligare och mer framträdande roll vid universitet och högskolor. Under senare år har också ett allt större fokus riktats mot utbildningars resultat. Frågor som rör kvaliteten i undervisningen blir därmed centrala. Att utveckla och stödja lärares pedagogiska skicklighet samt belysa villkoren för den undervisning som bedrivs inom högre utbildning är angeläget. Behovet är stort av en gemensam samlingspunkt för pedagogiska och didaktiska diskussioner där lärare och andra yrkeskategorier som är intresserade av av ämnet kan träffas och föra dessa diskussioner tillsammans och över ämnesgränser. Blekinge Tekniska Högskola, Högskolan i Kristianstad och Malmö universitet samarrangerar därför den årliga högskolepedagogiska konferensen Läralärdom.

    Lärarlärdom 2019 gick av stapeln på Blekinge Tekniska Högskola i Karlskrona den 15 augusti och samlade ett sjuttiotal deltagare. Ett urval av konferensens presentationer finns på https://play.bth.se

  • Anwar, Mahwish
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.
    Connect2SmallPorts: An EU Project on Digitalizing Small Ports of the South Baltic Region. Poster ID: P20-206202020Övrigt (Övrig (populärvetenskap, debatt, mm))
    Abstract [en]

    Ports play pivotal role in the global supply chain network. To strengthen the ports’ business and to keep up with the overall economic development of the country, the port stakeholders have started to invest in the digital technologies. The ports as well as the individual municipalities in Europe are in contest with other ports within the region. One of the competing factors is that of the port’s technological development. Unlike large ports, the small ports within Europe, for example Port of Karlskrona, Port of Wismar or Port of Klaipeda, which also serve as crucial nodes within the trade flow for Sweden, Germany and Lithuania respectively, lack the knowledge and tools to leverage the potential of digital technologies. The digital disruption at ports is inevitable!

    With that being established the scope of the project - South Baltic Small Ports as Gateways towards Integrated Sustainable European Transport System and Blue Growth by Smart Connectivity Solutions – or Connect2SmallPorts project is to understand how to facilitate small and medium ports of the South Baltic region with the digital technologies - Blockchain and Internet of Things. During the project lifetime (2018 to 2021) the main goals are to perform the digital audit of small ports of the South Baltic region; to prepare an implementation strategy for Blockchain and Internet of Things specifically for the small ports in the South Baltic region and to conduct an evaluation of the proposed strategies. The project correspondingly aims to disseminate the knowledge and experiences through research publications, industrial conferences and international tradeshows.

  • Jagtap, Santosh
    et al.
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Larsson, Tobias
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Resource-Limited Societies, Integrated Design Solutions, and Stakeholder Input2019Ingår i: She Ji: The Journal of Design, Economics, and Innovation, ISSN 2405-8726, Vol. 5, nr 4, s. 285-303Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Poverty is a multidimensional issue, characterized by deprivations and constraints at the individual, institutional, economic, and technological level. To satisfy the unmet or underserved needs of people living in poverty, the relevant constraints in the target context must be addressed via integrated design solutions. Although previous studies in this field show that designing integrated solutions requires input from multiple stakeholders, there is a lack of relevant research examining the nature of this input. To address this, using a case study methodology, we analyzed three design projects that have successfully responded to the pertinent constraints within each context by supporting social and human development among its marginalized populations. Based on our findings, we designed a stakeholder input framework categorizing a diverse range of stakeholder perspectives—both inside and outside the context of poverty—that can contribute towards integrated solutions design. The findings and resulting stakeholder input framework can help designers gain a deeper appreciation of the constraints faced by marginalized societies, and how design input from various stakeholders can be mobilized to overcome these constraints and create value for resource-poor people.

  • Glantz, Andreas
    et al.
    Region Skåne, SWE.
    Örmon, Karin
    Malmö Högskola, SWE.
    Sandström, Boel
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för hälsa.
    "how do we use the time?": An observational study measuring the task time distribution of nurses in psychiatric care2019Ingår i: BMC Nursing, ISSN 1472-6955, E-ISSN 1472-6955, Vol. 18, nr 1, artikel-id 67Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background: The nurse's primary task in psychiatric care should be to plan for the patient's care in cooperation with the patient and spend the time needed to build a relationship. Psychiatric care nurses however claim that they lack the necessary time to communicate with patients. To investigate the validity of such claims, this time-motion study aimed at identifying how nurses working at inpatient psychiatric wards distribute their time between a variety of tasks during a working day. Methods: During the period of December 2015 and February 2016, a total of 129 h and 23 min of structured observations of 12 nurses were carried out at six inpatient wards at one psychiatric clinic in southern Sweden. Time, frequency of tasks and number of interruptions were recorded and analysed using descriptive statistics. Results: Administering drugs or medications accounted for the largest part of the measured time (17.5%) followed by indirect care (16%). Relatively little time was spent on direct care, the third largest category in the study (15.3%), while an unexpectedly high proportion of time (11.3%) was spent on ward related tasks. Nurses were also interrupted in 75% of all medication administering tasks. Conclusions: Nurses working in inpatient psychiatric care spend little time in direct contact with the patients and medication administration is interrupted very often. As a result, it is difficult to establish therapeutic relationships with patients. This is an area of concern for both patient safety and nurses' job satisfaction. © 2019 The Author(s).

  • Moraes, Ana Luiza Dallora
    et al.
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för hälsa.
    Sanmartin Berglund, Johan
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för hälsa.
    Brogren, Martin
    Optriva AB, SWE.
    Kvist, Ola
    Karolinska, SWE.
    Ruiz, Sandra Diaz
    Karolinska, SWE.
    Dübbel, André
    Optriva AB, SWE.
    Anderberg, Peter
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för hälsa.
    Age assessment of youth and young adults using magnetic resonance imaging of the knee: A deep learning approach2019Ingår i: JMIR MEDICAL INFORMATICS, E-ISSN 2291-9694, Vol. 7, nr 4, s. 419-436, artikel-id e16291Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background: Bone age assessment (BAA) is an important tool for diagnosis and in determining the time of treatment in a number of pediatric clinical scenarios, as well as in legal settings where it is used to estimate the chronological age of an individual where valid documents are lacking. Traditional methods for BAA suffer from drawbacks, such as exposing juveniles to radiation, intra- and interrater variability, and the time spent on the assessment. The employment of automated methods such as deep learning and the use of magnetic resonance imaging (MRI) can address these drawbacks and improve the assessment of age. Objective: The aim of this paper is to propose an automated approach for age assessment of youth and young adults in the age range when the length growth ceases and growth zones are closed (14-21 years of age) by employing deep learning using MRI of the knee. Methods: This study carried out MRI examinations of the knee of 402 volunteer subjects-221 males (55.0%) and 181 (45.0%) females-aged 14-21 years. The method comprised two convolutional neural network (CNN) models: the first one selected the most informative images of an MRI sequence, concerning age-assessment purposes; these were then used in the second module, which was responsible for the age estimation. Different CNN architectures were tested, both training from scratch and employing transfer learning. Results: The CNN architecture that provided the best results was GoogLeNet pretrained on the ImageNet database. The proposed method was able to assess the age of male subjects in the range of 14-20.5 years, with a mean absolute error (MAE) of 0.793 years, and of female subjects in the range of 14-19.5 years, with an MAE of 0.988 years. Regarding the classification of minors-with the threshold of 18 years of age-an accuracy of 98.1% for male subjects and 95.0% for female subjects was achieved. Conclusions: The proposed method was able to assess the age of youth and young adults from 14 to 20.5 years of age for male subjects and 14 to 19.5 years of age for female subjects in a fully automated manner, without the use of ionizing radiation, addressing the drawbacks of traditional methods. © 2019 Journal of Medical Internet Research. All rights reserved.

  • Peng, Cong
    et al.
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.
    Goswami, Prashant
    Blekinge Tekniska Högskola.
    Bai, Guohua
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.
    A literature review of current technologies on health data integration for patient-centered health management2019Ingår i: Health Informatics Journal, ISSN 1460-4582, E-ISSN 1741-2811Artikel, forskningsöversikt (Refereegranskat)
    Abstract [en]

    Health data integration enables a collaborative utilization of data across different systems. It not only provides a comprehensive view of a patient’s health but can also potentially cope with challenges faced by the current healthcare system. In this literature review, we investigated the existing work on heterogeneous health data integration as well as the methods of utilizing the integrated health data. Our search was narrowed down to 32 articles for analysis. The integration approaches in the reviewed articles were classified into three classifications, and the utilization approaches were classified into five classifications. The topic of health data integration is still under debate and problems are far from being resolved. This review suggests the need for a more efficient way to invoke the various services for aggregating health data, as well as a more effective way to integrate the aggregated health data for supporting collaborative utilization. We have found that the combination of Web Application Programming Interface and Semantic Web technologies has the potential to cope with the challenges based on our analysis of the review result.

  • Andersson, Martin
    et al.
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för industriell ekonomi.
    Larsson, Johan
    University of Cambridge, GBR.
    Wernberg, Joakim
    Entreprenörskapsforum, SWE.
    Stora kunskapsintensiva investeringar: orsaker, verkan och den offentliga sektorns roll2019Rapport (Övrigt vetenskapligt)
    Abstract [sv]

    Denna rapport presenterar en forskningsöversikt av stora kunskapsintensiva investeringar (SKI). Rapportens syfte är tudelat. För det första ska rapporten ge en kunskapsöversikt av orsaker och förutsättningar för SKI, samt potentiella positiva spridningseffekter till följd av SKI. För det andra ska rapporten sätta översikten i relation till vad forskningen säger kring den offentliga sektorns möjlighet att främja SKI samt vilka policyåtgärder som kan tänkas bidra till att realisera positiva spridningseffekter förknippade med SKI. Rapporten ska dessutom utveckla ett förslag på en empirisk tillämpning av definitionen, samt presentera en deskriptiv översikt av SKI i Sverige.

  • Bertoni, Marco
    et al.
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Bertoni, Alessandro
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Measuring Experiential Learning: An Approach Based on Lessons Learned Mapping2020Ingår i: Education Sciences, E-ISSN 2227-7102, Vol. 10, nr 1, artikel-id 11Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Fostering ‘experiential learning’ in real-life situations is a critical task for engineering educators when creating constructively aligned learning activities. The paper proposes an approach to measure the students’ perception of learning in Conceive-Design-Implement-Operate activities conducted outside the classroom. The approach is based on the opportunity of gathering and analyzing lessons learned from the student reflection reports at the end of a team-based innovation project performed in collaboration with company partners. The approach is intended to provide a basis for the future development of innovation projects with engineering students, supporting the definition of learning outcomes that are relevant for the CDIO Syllabus 2.0, and of constructively aligned learning experiences. The paper exemplifies the approach with regards to a master course named Value Innovation and presents the findings obtained at the third and second level of the CDIO Syllabus 2.0. The results of the course implementation show how short team-based innovation projects largely contributed in developing social and communication-related skills in engineering students, going beyond the mere application of their technical skills.

  • Sigvant, Mats
    et al.
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Pilthammar, Johan
    Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för maskinteknik.
    Hol, Johan
    TriboForm Engineering, NLD.
    Wiebenga, J. H.
    TriboForm Engineering, NLD.
    Chezan, Toni
    Tata Steel Europe Limited, GBR.
    Carleer, Bart
    AutoForm Engineering, DEU.
    van den Boogaard, Ton
    University of Twente, NLD.
    Friction in sheet metal forming: Influence of surface roughness and strain rate on sheet metal forming simulation results2019Ingår i: Procedia Manufacturing, Elsevier B.V. , 2019, s. 512-519Konferensbidrag (Refereegranskat)
    Abstract [en]

    The quality of sheet metal formed parts is strongly dependent on the tribology and friction conditions that are acting in the actual forming process. These friction conditions are then dependent on the tribology system, i.e. the applied sheet material, coating and tooling material, the lubrication and process conditions. Although friction is of key importance, it is currently not considered in detail in sheet metal forming simulations. The current industrial standard is to use a constant (Coulomb) coefficient of friction, which limits the overall simulation accuracy. Since a few years, back there is an ongoing collaboration on friction modelling between Volvo Cars, Tata Steel, TriboForm Engineering, AutoForm Engineering and the University of Twente. In previous papers by the authors, results from lab scale studies and studies of body parts at Volvo Cars, both parts in early tryout for new car models as well as parts in production have been presented. However, the introduction of a new friction model in the sheet metal forming simulations forces the user to gain knowledge about accurate values for new input parameters and question current modeling assumptions. This paper presents results from studies on the influence on the sheet metal forming simulation results from stamping die surface roughness and introduction of strain rate sensitivity in the sheet material model. The study will use a FE-model of a part presented in previous papers. © 2019 The Authors. Published by Elsevier B.V.

  • Silvander, Johan
    et al.
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Angelin, Lars
    Ericsson AB, SWE.
    Introducing intents to the OODA-loop2019Ingår i: Procedia Computer Science, Elsevier B.V. , 2019, s. 878-883Konferensbidrag (Refereegranskat)
    Abstract [en]

    Together with Ericsson AB, we are using the design science framework when investigating how to create an intent-driven system for their business support system and its business studio. The aim is to present our initial results on how an extended OODA-loop can be used to realize a robust, but still flexible, software architecture for an intent-driven system. We explain how an extended OODA-loop is constructed and provide suggestions of how different part of it can be implemented. The initial results are promising but further research is needed to use the extended OODA-loop as reusable components in intent-driven systems. Our next step is to extend the generic methods with knowledge representation and reasoning capabilities. © 2019 The Author(s). Published by Elsevier B.V.