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  • Nordahl, Christian
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Boeva, Veselka
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Grahn, Håkan
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    MultiStream EvolveCluster2023In: The 36th Canadian Conference on Artificial Intelligence, 2023Conference paper (Refereed)
    Abstract [en]

    This paper proposes a novel multi-stream clustering algorithm, MultiStream EvolveCluster (MS-EC), that can be used for continuous and distributed monitoring and analysis ofevolving time series phenomena. It can maintain evolving clustering solutions separatelyfor each stream/view and consensus clustering solutions reflecting evolving interrelationsamong the streams. Each stream behavior can be analyzed by different clustering techniques using a distance measure and data granularity that is specially selected for it. Theproperties of the MultiStream EvolveCluster algorithm are studied and evaluated withrespect to different consensus clustering techniques, distance measures, and cluster evaluation measures in synthetic and real-world smart building datasets. Our evaluation resultsshow a stable algorithm performance in synthetic data scenarios. In the case of real-worlddata, the algorithm behavior demonstrates sensitivity to the individual streams’ data quality and the used consensus clustering technique.

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  • da Silva, Fabiano Gabriel
    et al.
    Centro de Guerra Acústica e Eletrônica da Marinha (CGAEM), Brazil.
    Ramos, Lucas P.
    Instituto Tecnológico de Aeronáutica (ITA), Brazil.
    Palm, Bruna
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
    Machado, Renato
    Instituto Tecnológico de Aeronáutica (ITA), Brazil.
    Hyperparameters Analysis of Machine Learning Techniques for Classification of Marine Targets in SAR Images2023In: Proceedings of the XX Brazilian Symposium on Remote Sensing: Anais do XX Simpósio Brasileiro de Sensoriamento Remoto, 2023, Vol. 20, p. 1095-1098, article id 155793Conference paper (Refereed)
    Abstract [en]

    Due to the extensive coastal area of Brazil, pattern recognition techniques based on artificial intelligence can search for targets at sea faster for surveillance, rescue, or illicit combat activities. This article presents a hyperparameter analysis of machine learning techniques to classify targets in SAR images. We considered a data set with vertical horizontal polarization SAR images from Campos Basin, Rio de Janeiro, to classify oil platforms and ships. The classification attributes are extracted through a convolutional neural network VGG-16 pre-trained with the ImageNet data set. Then, four machine learning techniques are evaluated, random forest, decision tree, k-nearest-neighbors, and logistic regression. As a metric for assessing the classifiers, accuracy (Acc) and area under the curve (AUC) are used. The grid search technique is used to identify the best combination of parameters of the classifiers with the highest Acc and AUC. Finally, the best result is the logistic regression classifier.

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  • Daliparthi, Venkata Satya Sai Ajay
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Momen, Nurul
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Tutschku, Kurt
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    De Prado, Miguel
    Bonseyes Community Association, Switzerland.
    ViSDM 1.0: Vision Sovereignty Data Marketplace a Decentralized Platform for Crowdsourcing Data Collection and Trading2023In: ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), 2023, p. 374-383Conference paper (Refereed)
    Abstract [en]

    The demand for large-scale diverse datasets is rapidly increasing due to the advancements in AI services impacting day-to-day life. However, gathering such massive datasets still remains a critical challenge in the AI service engineering pipeline, especially in the computer vision domain where labeled data is scarce. Rather than isolated data collection, crowdsourcing techniques have shown promising potential to achieve the data collection task in a time and cost-efficient manner. In the existing crowdsourcing marketplaces, the crowd works to fulfill consumer-defined requirements where in the end consumer gains the data ownership and the crowd is compensated with task-based payment. On the contrary, this work proposes a blockchain-based decentralized marketplace named Vision Sovereignty Data Marketplace (ViSDM), in which the crowd works to fulfill global requirements & holds data ownership, the consumers pay a certain data price to perform a computing task (model training/testing), the data price is distributed among the crowd in a one-to-many manner through smart contracts, thus allowing the crowd to gain profit from each consumer transaction occurring on their data. The marketplace is implemented as multiple smart contracts and is evaluated based on blockchain-transaction gas fees for the stakeholder interaction & by running scenarios-based simulations. Furthermore, discussions address the challenges included in maintaining data quality and the future milestones towards deployment. © 2023 Owner/Author.

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  • Public defence: 2023-12-08 13:00 C413A, Karlskrona
    Nilsson, Ida
    Blekinge Institute of Technology, Faculty of Engineering, Department of Spatial Planning.
    Järnmalm, ödehus och framtidstro: En studie om kommunal planering i norrländsk landsbygd2023Doctoral thesis, monograph (Other academic)
    Abstract [en]

    Municipal planning concerns supporting broader socio-economic interests that are linked to place-based resources, whilst promoting local development for the inhabitants. By protecting and utilizing the resources, it is assumed that they will benefit the wider society rather than an individual actor or interest – the resources become public socio-economic interests. Place-based resources such as minerals and desolate houses are also tied to land and specific places. They are often found in rural areas that have long struggled with demographic challenges such as negative population growth. Against the background of the tension between supporting public socio-economic interests whilst considering the interest of the local people, this thesis aims to examine how and under what conditions municipal planning takes place in rural areas with place-based resources and at the same time have negative population development. In the thesis, I use a northern Swedish rural municipality as a case to explore how this tension is played out. As a theoretical perspective, I use Deleuze’s and Guattari's (1987) view of desire as productive by producing assemblages of interest within which municipal planning is formed and transformed (cf. Beauregard 2020). The results of the study show that municipal planning in rural areas with place-based resources and negative population growth is shaped by socio-economic interests which are renegotiated into local interests. Through this renegotiation process the planning is formed through the desire to create population growth through the extraction of the place-based resources.  The thesis concludes that municipal planning in rural areas with place-based resources and negative population development is shaped through both the desire in place-based resources and the lack of desire. This demonstrates the need of further research in how these municipalities can handle the great uncertainties that the growing and fleeting desire in place-based resources create. 

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  • Stentagg, Magnus
    et al.
    Malmö University.
    Skär, Lisa
    Blekinge Institute of Technology, Faculty of Engineering, Department of Health.
    Lindberg, Terese
    Blekinge Institute of Technology, Faculty of Engineering, Department of Health.
    Sexuality is not age-related: an interview study2023In: Sexual and Relationship Therapy, ISSN 1468-1994, E-ISSN 1468-1749Article in journal (Refereed)
    Abstract [en]

    Increased knowledge of how sexuality is expressed in older persons may create opportunities for healthcare professionals to perform care according to a person-centered approach. To describe older people’s experiences of sexuality concerning aging, a qualitative study was conducted. Eight persons aged 60 and above were interviewed, and the obtained data were analyzed using content analysis. The findings revealed that the participants were certain of being sexually active as they got older. Awareness of what old age can bring regarding illness and increased medication intake was clear, alongside the importance of discussing sexuality with friends or a partner. Age was not seen as an obstacle to continuously being sexually active, and new ways to maintain intimacy and sexuality were identified. According to our results sexuality in older people is about well-being and intimate relationships. Creating opportunities for a trusting, caring relationship can strengthen older people’s sexual health. Healthcare professionals must, therefore, make possibilities for trustful relationships to support and discuss sexuality with older people. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

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  • Momen, Nurul
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Kebande, Victor R.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Constructivism in Second Life: Fostering Active Learning through Teacher-assisted Virtualized  Virtual Environments2023Report (Other (popular science, discussion, etc.))
    Abstract [en]

    Constructivism in Second Life represents a dynamic paradigm shift in education. By actively engaging students and promoting the construction of knowledge within virtualized virtual environments, we harness the full potential of modern pedagogical tools. Crucially, the teacher's role emerges as a guiding force, shaping constructivist learning experiences that empower students to become active, self-directed learners. Together, educators and learners unlock the transformative power of constructivism in virtual education, paving the way for a brighter, more interactive future of learning.

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  • Mikaelsson Midlöv, Elina
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Health.
    Lindberg, Terese
    Blekinge Institute of Technology, Faculty of Engineering, Department of Health.
    Sterner, Therese
    Malmö university.
    Skär, Lisa
    Blekinge Institute of Technology, Faculty of Engineering, Department of Health.
    Support given by health professionals before and after a patient's death to relatives involved in general palliative care at home in Sweden: Findings from the Swedish Register of Palliative Care2023In: Palliative & Supportive Care, ISSN 1478-9515, E-ISSN 1478-9523Article in journal (Refereed)
    Abstract [en]

    Objectives. General palliative care (PC) is provided more at home, leading to increased involvement of relatives. Although support for relatives is a fundamental component of PC, there are deficiencies in the support provided to relatives when general PC is provided at home. This study aimed to describe the support provided by health professionals before and after a patient's death to relatives involved in general PC at home.

    Methods. A cross-sectional register study was implemented, with data from the Swedish Register of Palliative care. The sample consisted of 160 completed surveys from relatives who had been involved in general PC at home, with 160 related surveys answered by health professionals. Only the questions about support to relatives were used from the surveys.

    Results. The findings showed that although many relatives appear to receive support in general PC at home, not all relatives receive optimal support before or after a patient's death. The findings also indicated differences in whether relatives received some support before and after a patient's death depending on the type of relative. There were also differences in responses between health professionals and relatives regarding if relatives received counseling from a doctor about whether the patient was dying.

    Significance of results. There is potential for improvements regarding support for relatives, especially after a patient's death, which has been confirmed in previous studies. The differences in whether relatives received support before and after a patient's death depending on the type of relative highlight the need for future research on how to support different types of relatives before and after a patient's death when general PC is provided at home.

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  • Vu, Viet Thuy
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
    Ivanenko, Yevhen
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
    Pettersson, Mats
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
    Phase Error Calculation Caused by Start-Stop Approximation in Processing FMCW Radar Signals for SAR Imaging2023In: IEEE Access, E-ISSN 2169-3536, Vol. 11, p. 103669-103678Article in journal (Refereed)
    Abstract [en]

    The current synthetic-aperture-radar (SAR) image formation algorithms have been developed for the pulse radar systems, and they are desired to be used for frequency modulated continuous wave (FMCW) radar systems. Since there is a difference between the outputs of pulse radar and FMCW radar, it is necessary to adapt these algorithms to the output of the pulse radar. Beside this, the start-stop approximation, which can be used for signal processing of pulse radar systems, should be taken into account for FMCW radar systems due to the fact that the pulse duration of pulse radar is relatively small in comparison to the modulation time of FMCW radar. The study investigates the phase error caused by the start-stop approximation in processing the data measured by a FMCW radar system for synthetic aperture imaging. The important finding is that the start-stop approximation is valid for processing FMCW SAR data in many cases. If the following circumstances occur simultaneously, such as high radar signal frequency, long modulation time, high platform speed, and short propagation range, then the approximation may become invalid. The simulations and the experiments performed with a wideband 154 GHz FMCW radar support this statement. Author

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  • Storey, David J.
    et al.
    University of Sussex, United Kingdom.
    Andersson, Martin
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Henrekson, Magnus
    Research Institute of Industrial Economics, Stockholm.
    Jack, Sarah
    Stockholm School of Economics.
    Stenkula, Mikael
    Research Institute of Industrial Economics, Stockholm.
    Thorburn, Karin
    Norwegian School of Economics, Bergen, Norway.
    Wigren-Kristoferson, Caroline
    Malmö University.
    Zander, Ivo
    Uppsala University.
    Per Davidsson: recipient of the 2023 Global Award for Entrepreneurship Research2023In: Small Business Economics, ISSN 0921-898X, E-ISSN 1573-0913Article in journal (Refereed)
    Abstract [en]

    Professor Per Davidsson is the recipient of the 2023 Global Award for Entrepreneurship Research. Throughout an extraordinarily productive career, he has made invaluable contributions in building the field of entrepreneurship. His early studies on entrepreneurship and culture and his studies on the growth of small businesses played an important role in the emergence and development of entrepreneurship as a scholarly field of research. He has also, continuously, made more conceptual contributions by critically probing the development of the field, and engaged in writing foundational books that have been used extensively in higher education institutes. By probing and challenging traditional assumptions throughout his career, he has contributed to the refinement and renewal of the field. © 2023, The Author(s).

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  • Börstler, Jürgen
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Bennin, Kwabena E.
    Wageningen University and Research, Netherlands.
    Hooshangi, Sara
    Virginia Tech, United States.
    Jeuring, Johan
    Utrecht University, Netherlands.
    Keuning, Hieke
    Utrecht University, Netherlands.
    Kleiner, Carsten
    University of Applied Sciences & Arts Hannover, Germany.
    MacKellar, Bonnie
    St John’s University, Queens, United States.
    Duran, Rodrigo
    Aalto University, Finland.
    Störrle, Harald
    QAware GmbH, Germany.
    Toll, Daniel
    Linnæus University.
    van Assema, Jelle
    University of Amsterdam, Netherlands.
    Developers talking about code quality2023In: Empirical Software Engineering, ISSN 1382-3256, E-ISSN 1573-7616, Vol. 28, no 6, article id 128Article in journal (Refereed)
    Abstract [en]

    There are many aspects of code quality, some of which are difficult to capture or to measure. Despite the importance of software quality, there is a lack of commonly accepted measures or indicators for code quality that can be linked to quality attributes. We investigate software developers’ perceptions of source code quality and the practices they recommend to achieve these qualities. We analyze data from semi-structured interviews with 34 professional software developers, programming teachers and students from Europe and the U.S. For the interviews, participants were asked to bring code examples to exemplify what they consider good and bad code, respectively. Readability and structure were used most commonly as defining properties for quality code. Together with documentation, they were also suggested as the most common target properties for quality improvement. When discussing actual code, developers focused on structure, comprehensibility and readability as quality properties. When analyzing relationships between properties, the most commonly talked about target property was comprehensibility. Documentation, structure and readability were named most frequently as source properties to achieve good comprehensibility. Some of the most important source code properties contributing to code quality as perceived by developers lack clear definitions and are difficult to capture. More research is therefore necessary to measure the structure, comprehensibility and readability of code in ways that matter for developers and to relate these measures of code structure, comprehensibility and readability to common software quality attributes.

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  • Berner, Jessica
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Health.
    Moraes, Ana Luiza Dallora
    Blekinge Institute of Technology, Faculty of Engineering, Department of Health.
    Palm, Bruna
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
    Sanmartin Berglund, Johan
    Blekinge Institute of Technology, Faculty of Engineering, Department of Health.
    Anderberg, Peter
    Blekinge Institute of Technology, Faculty of Engineering, Department of Health.
    Five-factor model, technology enthusiasm and technology anxiety2023In: Digital Health, E-ISSN 2055-2076, Vol. 9Article in journal (Refereed)
    Abstract [en]

    Older adults need to participate in the digital society, as societal and personal changes and what they do with the remaining time that they have in their older years has an undeniable effect on motivation, cognition and emotion. Changes in personality traits were investigated in older adults over the period 2019–2021. Technology enthusiasm and technology anxiety are attitudes that affect the relationship to the technology used. The changes in the score of technology enthusiasm and technology anxiety were the dependent variables. They were investigated with personality traits, age, gender, education, whether someone lives alone, cognitive function, digital social participation (DSP) and health literacy as predictors of the outcome. The Edwards-Nunnally index and logistic regression were used. The results indicated that DSP, lower age, lower neuroticism and higher education were indicative of less technology anxiety. High DSP and high extraversion are indicative of technology enthusiasm. DSP and attitude towards technology seem to be key in getting older adults to stay active online. © The Author(s) 2023.

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