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  • Nord, Catharina
    Blekinge Institute of Technology, Faculty of Engineering, Department of Spatial Planning.
    Resident-centred care and architecture of two different types of caring residences: a comparative study2018In: International Journal of Qualitative Studies on Health and Well-being, ISSN 1748-2623, E-ISSN 1748-2631, Vol. 13, no 1, article id 1472499Article in journal (Refereed)
    Abstract [en]

    The relationship between architectural space and resident-centred care is poorly understood, even though architectural space is indicated as an important factor in the quality of care. This paper aims to address this gap in existing research by putting resident-centred care in the theoretical context of relationality and emergence in which space is a co-producing component. This qualitative case study includes two housing alternatives, which are compared: one assisted living and one extra-care housing residence, which differ in their legal status and architecturally. Similar fieldwork was carried out in the two residences. Individual interviews with staff and residents, as well as observations—direct and shadowing—were the main data collection methods. The concept of assemblage was used for the analysis of how resident-centred care and architectural space co-evolved. The findings show that resident-centred care appears in similar but also diverse and sometimes contradictory ways in different spaces in the two housing alternatives, suggesting that resident-centred care is situated, volatile and emergent. Although architecture has strong agency, space and care need to be considered together—a caring architecture—in order to understand the nuances and rich conceptual palette of resident-centred care. © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

  • Hussain, Syed Asad
    et al.
    COMSATS Institute of Information Technology, PAK.
    Fatima, Mehwish
    COMSATS Institute of Information Technology, PAK.
    Saeed, Atif
    Lancaster University, GBR.
    Raza, Imran
    COMSATS Institute of Information Technology, PAK.
    Shahzad, Raja Khurram
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Multilevel classification of security concerns in cloud computing2017In: Applied Computing and Informatics, ISSN 1578-4487, E-ISSN 2210-8327, Vol. 13, no 1, p. 57-65Article in journal (Refereed)
    Abstract [en]

    Threats jeopardize some basic security requirements in a cloud. These threats generally constitute privacy breach, data leakage and unauthorized data access at different cloud layers. This paper presents a novel multilevel classification model of different security attacks across different cloud services at each layer. It also identifies attack types and risk levels associated with different cloud services at these layers. The risks are ranked as low, medium and high. The intensity of these risk levels depends upon the position of cloud layers. The attacks get more severe for lower layers where infrastructure and platform are involved. The intensity of these risk levels is also associated with security requirements of data encryption, multi-tenancy, data privacy, authentication and authorization for different cloud services. The multilevel classification model leads to the provision of dynamic security contract for each cloud layer that dynamically decides about security requirements for cloud consumer and provider. © 2016 King Saud University

  • Maksimov, Yuliyan V.
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Fricker, Samuel
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Tutschku, Kurt
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Artifact Compatibility for Enabling Collaboration in the Artificial Intelligence Ecosystem2018Conference paper (Refereed)
    Abstract [en]

    Different types of software components and data have to be combined to solve an artificial intelligence challenge. An emerging marketplace for these components will allow for their exchange and distribution. To facilitate and boost the collaboration on the marketplace a solution for finding compatible artifacts is needed. We propose a concept to define compatibility on such a marketplace and suggest appropriate scenarios on how users can interact with it to support the different types of required compatibility. We also propose an initial architecture that derives from and implements the compatibility principles and makes the scenarios feasible. We matured our concept in focus group workshops and interviews with potential marketplace users from industry and academia. The results demonstrate the applicability of the concept in a real-world scenario.

  • Johnsson, Mikael
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Prisoner's dilemma as a workshop tool?2018Conference paper (Refereed)
    Abstract [en]

    Product lifecycles are shorter than ever and agile innovation processes and teams are being developed to meet challenging product lifecycle deadlines. Teaching how to create innovation teams is however shown to be both complex and time consuming, which is not optimal in a time where the business environment demands faster pace when innovating. This research has explored the potential of using Prisoner's dilemma as a workshop tool to stimulate learning and collaboration, which is the core of innovation team’s work, to be further developed to educational tools if being successful. The workshop setting was based on the participating organisations' individual and concrete ideas to be developed, where game elements were designed as game mechanisms. Management from six organisations participated in the research, three of the organisations conducted a workshop designed as a modified Prisoner's dilemma, and the other three organisations participated in a non-gamified workshop based on the same content as the gamified one. Empirical data were collected through statement-based questionnaires, rich field notes, and observations from the video-recorded workshops. The findings indicate that Prisoner's dilemma may be used as a workshop tool for educational purposes. However, significant findings indicate that collaboration felt somewhat mandatory and learning was not optimized due to the dilemma. The research' limitations are discussed and further research is suggested. 

  • Ahmadi Mehri, Vida
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Ilie, Dragos
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Tutschku, Kurt
    Towards Privacy Requirements for Collaborative Development of AI Applications2018In: 14th Swedish National Computer Networking Workshop (SNCNW), 2018Conference paper (Refereed)
    Abstract [en]

    The use of data is essential for the capabilities of Data- driven Artificial intelligence (AI), Deep Learning and Big Data analysis techniques. The use of data, however, raises intrinsically the concern of the data privacy, in particular for the individuals that provide data. Hence, data privacy is considered as one of the main non-functional features of the Next Generation Internet. This paper describes the privacy challenges and requirements for collaborative AI application development. We investigate the constraints of using digital right management for supporting collaboration to address the privacy requirements in the regulation.

  • Bertoni, Alessandro
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Role and Challenges of Data-Driven Design in the Product Innovation Process2018In: Proceedings of the 16th IFAC Symposium on Information Control Problems in Manufacturing - INCOM 18, 2018Conference paper (Refereed)
    Abstract [en]

    The paper discusses the role and the challenges of integrating Data-Driven Design (DDD) models in the product innovation process. Firstly, based on academic literature on the Product Innovation Value Streamsand on Model-Based Decision Supports, the paper highlights how and when the use of DDD models can support a more effective product innovation process. Secondly, it highlights a list of challenges to be considered for the development of new DDD models for decision support. Ultimately, those challenges are formalized in an evaluation matrix intended to guide the further development of DDD.

  • Ruvald, Ryan
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Frank, Martin
    Volvo Construction Equipment, SWE.
    Johansson, Christian
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Larsson, Tobias
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Data Mining through Early Experience Prototyping: A step towards Data Driven Product Service System Design2018In: 16th IFAC Symposium on Information Control Problems in Manufacturing, 2018Conference paper (Refereed)
    Abstract [en]

    The construction industry is ripe for disruption through innovative solutions that provide added productivity. Equipment manufacturers are attempting to disrupt their industry with investments in autonomy, electrification and product-service system business models. Designing solutions that will operate in completely new systems or modify an existing complex system require new approaches to address the uncertainty of system impacts. An iterative approach can help tackle ambiguity through cyclical validation of design decisions. Data mining in each cycle adds a quantitative dimension to the rationale of decision making, but data is sparse and difficult to collect in parallel with design of theoretical product-service systems operating in future scenarios. This can be combated using experiential prototyping techniques to design flexible infrastructure that supports contextualized data gathering in a variety of focused design sprints using Design, Build and Test approach. The intricacy of designing innovative solutions to increase productivity in the construction industry can be untangled by framing aspects of the problem in small sprints and testing them in a contextualized setting built to generate functional data to drive design.

  • Chowdhery, Syed Azad
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Bertoni, Marco
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Data-driven value assessment of packaging solutions2018In: 16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo, 2018Conference paper (Refereed)
    Abstract [en]

    Research in Product Service Systems design increasingly focuses on how to develop ‘capabilities’ for assessing the value of solutions already in  a design project fuzzy front end. A datadriven approach shall then guide engineers in the process of identifying what to develop, and not merely to verify if a solution meets (or not) performance requirements. This process of frontloading problem identification and solution generation activities with models is of high interest to raise quality and lower risk and cost for the development work. The objective of the paper is to explore the use of a data-driven approach to enable value prediction of packaging material configurations in early design. Its main objective is to present a methodological approach and a framework to connect high-level aspects of customer value with simulations and analysis conducted on the mechanical properties of packaging material.

  • Chowdhery, Syed Azad
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Bertoni, Marco
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Modeling resale value of road compaction equipment: a data mining approach2018In: 16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo, 2018Conference paper (Refereed)
    Abstract [en]

    Resale value is an important aspect to be addressed when companies aim to shift from one-sale models to Product Service Systems (PSS). In the initial stages of the PSS design process, it is beneficial to predict how the mechanical features of the PSS hardware will impact resale value, so to orient business strategy decisions accordingly. The objective of this work is to propose a methodology to model the resale value of road compaction equipment using data mining techniques. By scrapping and merging data sets from the machine manufacturer and from dealers of second-hand machines, the work discusses how the derived correlations may be used to populate value models for early stage decision making.

  • Jagtap, Santosh
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Shaping products: Differences between expert and novice industrial designers2018Conference paper (Refereed)
    Abstract [en]

    The process of shaping a product's visual appearance is crucial in determining consumer response. However, extant research on the nature of expertise in this process is scarce. Specifically, there is absence of studies investigating differences between how expert and novice industrial designers use information in this process. This research, using think aloud method, compared informational behaviour of an expert and a novice industrial designer in shaping products. We report rich qualitative accounts of their informational behaviour, revealing a sharp contrast between them.

  • van der Mei, Rob
    et al.
    Centrum Wiskunde and Informatica (CWI), NLD.
    van den Berg, Hans
    TNO, NLD.
    Ganchev, Ivan
    University of Limerick, IRE.
    Tutschku, Kurt Tutschku
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Leitner, Philipp
    University of Zurich, CHE.
    Lassila, Pasi
    Aalto University, FIN.
    Burakowski, Wojciech
    Warsaw University of Technology, POL.
    Liberal, Fidel
    University of the Basque Country (UPV/EHU), ESP.
    Arvidsson, Åke
    Kristianstad University, SWE.
    Hoßfeld, Tobias
    lInstitute of Computer Science and Business Information Systems (ICB), DEU.
    Wac, Katarzyna
    University of Geneva, CHE.
    Melvin, Hugh
    National University of Ireland, IRE.
    Galinac Grbac, Tihana
    University of Rijeka, HRV.
    Haddad, Yoram
    JCT-Lev Academic Center, ISR.
    Key, Peter
    Microsoft Research Ltd., GBR.
    State of the Art and Research Challenges in the Area of Autonomous Control for a Reliable Internet of Services2018In: Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools / [ed] Ganchev, Ivan, van der Mei, Robert D., van den Berg, J.L., Springer Publishing Company, 2018Chapter in book (Refereed)
    Abstract [en]

    The explosive growth of the Internet has fundamentally changed the global society. The emergence of concepts like service-oriented architecture (SOA), Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Network as a Service (NaaS) and Cloud Computing in general has catalyzed the migration from the information-oriented Internet into an Internet of Services (IoS). This has opened up virtually unbounded possibilities for the creation of new and innovative services that facilitate business processes and improve the quality of life. However, this also calls for new approaches to ensuring quality and reliability of these services. The goal of this book chapter is to first analyze the state-of-the-art in the area of autonomous control for a reliable IoS and then to identify the main research challenges within it. A general background and high-level description of the current state of knowledge is presented. Then, for each of the three subareas, namely the autonomous management and real-time control, methods and tools for monitoring and service prediction, and smart pricing and competition in multi-domain systems, a brief general introduction and background are presented, and a list of key research challenges is formulated.

  • Nurdiani, Indira
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Börstler, Jürgen
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Fricker, Samuel
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Petersen, Kai
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Usage, Retention, and Abandonment of Agile PracticesIn: e-Informatica Software Engineering Journal, ISSN 1897-7979, E-ISSN 2084-4840Article in journal (Refereed)
  • Svensson, Martin
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Pesämaa, Ossi
    Luleå tekniska Universitet, SWE.
    How does a caller's anger, fear and sadness affect operators' decisions in emergency calls?2018In: International Review of Social Psychology, ISSN 2397-8570, Vol. 31, no 1, article id 89Article in journal (Refereed)
    Abstract [en]

    We studied how emergency operators' interpretation of callers' anger, fear, and sadness influenced emergency assessments in 146 authentic emergency calls. All emergency calls need to be decided on quickly and operators discriminated emotional expressions, by separating fear from other emotions across help need levels. Using path analysis and structural equation modeling, caller's fear, as opposed to expressions of anger and sadness, showed both direct and indirect effects on the intention to provide help. Based on the findings, emergency operators are argued to actively incorporate callers' expressions into emergency decisions, rather than peripherally processing emotional expression. Such findings allow for a discussion on the interpersonal effects of emotional expressions and, more practically, how fast help will be able to arrive to the location of the emergency. © 2018 Ubiquity Press Ltd. All rights reserved.

  • Nystedt, Patrik
    et al.
    Högskolan Väst, SWE.
    Öinert, Johan
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences. Blekinge Inst Technol, Dept Math & Nat Sci, SE-37179 Karlskrona, Sweden..
    Richter, Johan
    Mälardalens högskola, SWE.
    NON-ASSOCIATIVE ORE EXTENSIONS2018In: Israel Journal of Mathematics, ISSN 0021-2172, E-ISSN 1565-8511, Vol. 224, no 1, p. 263-292Article in journal (Refereed)
    Abstract [en]

    We introduce non-associative Ore extensions, S = R[X; sigma, delta], for any non-ssociative unital ring R and any additive maps sigma, delta : R -> R satisfying sigma(1) = 1 and delta(1) = 0. In the special case when delta is either left or right R-delta-linear, where R-delta = ker(delta), and R is delta-simple, i.e. {0} and R are the only delta-invariant ideals of R, we determine the ideal structure of the non-associative differential polynomial ring D = R[X; id(R),delta]. Namely, in that case, we show that all non-zero ideals of D are generated by monic polynomials in the center Z(D) of D. We also show that Z(D) = R-delta[p] for a monic p is an element of R-delta [X], unique up to addition of elements from Z(R)(delta) . Thereby, we generalize classical results by Amitsur on differential polynomial rings defined by derivations on associative and simple rings. Furthermore, we use the ideal structure of D to show that D is simple if and only if R is delta-simple and Z(D) equals the field R-delta boolean AND Z(R). This provides us with a non-associative generalization of a result by Oinert, Richter and Silve-strov. This result is in turn used to show a non-associative version of a classical result by Jordan concerning simplicity of D in the cases when the characteristic of the field R-delta boolean AND Z(R) is either zero or a prime. We use our findings to show simplicity results for both non-associative versions of Weyl algebras and non-associative differential polynomial rings defined by monoid/group actions on compact Hausdorff spaces.

  • Bertoni, Marco
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Wall, Johan
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Bertoni, Alessandro
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Model Driven Decision Arena: an aerospace study2018In: Proceedings of the International Design Conference / [ed] D. Marjanović, M. Štorga, S. Škec, N. Bojčetić, N. Pavković (eds.), The Design Society, 2018, p. 171-182Conference paper (Refereed)
    Abstract [en]

    The concept of Decision Theatre (DT) is of great interest to leverage knowledge sharing in early stage design decision events. Yet, few contributions show how to configure a DT to support design space exploration and concept selection in cross-functional teams. This paper describes the development of a model-driven decision arena (MDDA) for aero-engine sub-system design. After presenting the descriptive study findings, it illustrates the overall logic of the MDDA environment and exemplifies its use in a case study related to the design of a turbine real structure (TRS) for commercial use.

  • Bertoni, Marco
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Chowdhery, Syed Azad
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Bellini, Anna
    Tetra Pak .
    Model-driven value assessment: a case from the food packaging industry2018In: Proceeedings of the International DESIGN Conference / [ed] D. Marjanović, M. Štorga, S. Škec, N. Bojčetić, N. Pavković (eds.), The Design Society, 2018, Vol. 1, p. 161-170Conference paper (Refereed)
    Abstract [en]

    Consumer perception of food packaging solutions is driven by early design decisions on paperboard configuration and manufacturing technologies. Simulation Driven Design is common to frontload design activities, but is confined to the engineering field and fails to capture higher-level value aspects. This paper presents an assessment framework connecting customer value dimensions with simulations conducted on the mechanical properties of the packaging material, and discusses how value modelling results can be visualised to support collaborative decision making in cross-functional teams.

  • Linde, Peter
    Blekinge Institute of Technology, The Library.
    BTH Newsletter on Science Publishing and Information about Research Funding: May 20182018Other (Other (popular science, discussion, etc.))
  • Fotrousi, Farnaz
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Seyff, Norbert
    University of Applied Sciences and Arts Northwestern Switzerland, CHE.
    Börstler, Jürgen
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Ethical Considerations in Research on User Feedback2017Conference paper (Refereed)
    Abstract [en]

    Collecting and using user feedback as a method to support requirements engineering, might undermine user rights. This becomes apparent when looking at related areas, e.g., research in user experience, where collecting user feedback also plays an important role.  In such settings, researchers need to ensure that the stakeholders’ rights and integrity are respected. This paper identifies and discusses some of the ethical challenges and issues a researcher can face, using an example case. Focusing on user feedback, this case can serve as an example for CrowdRE, i.e. several of our findings might apply to CrowdRE in general. However, further research is needed as our work mainly reflects the challenges experienced by the authors of this paper.

  • Kusetogullari, Huseyin
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Yavariabdi, Amir
    KTO Karatay University, TUR.
    Unsupervised Change Detection in Landsat Images with Atmospheric Artifacts: A Fuzzy Multiobjective Approach2018In: Mathematical problems in engineering (Print), ISSN 1024-123X, E-ISSN 1563-5147, Vol. 2018, p. 1-16, article id 7274141Article in journal (Refereed)
    Abstract [en]

    A new unsupervised approach based on a hybrid wavelet transform and Fuzzy Clustering Method (FCM) with Multiobjective Particle Swarm Optimization (MO-PSO) is proposed to obtain a binary change mask in Landsat images acquired with different atmospheric conditions. The proposed method uses the following steps: preprocessing,  classification of preprocessed image, and  binary masks fusion. Firstly, a photometric invariant technique is used to transform the Landsat images from RGB to HSV colour space. A hybrid wavelet transform based on Stationary (SWT) and Discrete Wavelet (DWT) Transforms is applied to the hue channel of two Landsat satellite images to create subbands. After that, mean shift clustering method is applied to the subband difference images, computed using the absolute-valued difference technique, to smooth the difference images. Then, the proposed method optimizes iteratively two different fuzzy based objective functions using MO-PSO to evaluate changed and unchanged regions of the smoothed difference images separately. Finally, a fusion approach based on connected component with union technique is proposed to fuse two binary masks to estimate the final solution. Experimental results show the robustness of the proposed method to existence of haze and thin clouds as well as Gaussian noise in Landsat images.

  • Wall, Johan
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    Larsson, Tobias
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
    A model-driven decision arena: Augmenting decision making in early design2018In: Norddesign conference proceedings, The Design Society, 2018Conference paper (Refereed)
    Abstract [en]

    A wide variety of expert competencies, transcending traditional disciplines, are needed to foresee and evaluate the impact of decisions in the conceptual phase of engineering design. Where this previously was a trade-off regarding design and development of the pure physical artefact it is now a complex ambiguity game involving all disciplines touching a solution during its lifecycle, due to the movement towards integrated product-service solutions. Gathering the involved, normally diverse, group of stakeholders in a collaborative setting for design exploration exercises, sharing knowledge and values, is believed to augment decision making ability in early design. A model-driven environment for collaborative decision making is proposed as a solution that potentially may help harvesting these benefits. In this environment stakeholders interact with each other using digital models, model generated information, simulation data and product data collected in the field in order to evaluate design proposals by playing out potential usage scenarios and investigating cause and effect relationships. Initial work on conceptualizing, developing, and testing such an environment is done through a pilot study based on two industrial use cases. The development process iteratively unveils demands and constraints related to the environment. These discoveries go hand in hand with developing an infrastructure regarding both hardware and software as well as required human resources in a functional environment. Fully realizing the envisioned model-driven environment for collaborative decision making entails new ways of working requiring new knowledge as well as technological innovation. In that aspect, environment infrastructure and usage are elaborated on and direction for further research and development is indicated.