lnu.sePublikationer
Ändra sökning
Avgränsa sökresultatet
1234567 51 - 100 av 462
RefereraExporteraLänk till träfflistan
Permanent länk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Träffar per sida
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sortering
  • Standard (Relevans)
  • Författare A-Ö
  • Författare Ö-A
  • Titel A-Ö
  • Titel Ö-A
  • Publikationstyp A-Ö
  • Publikationstyp Ö-A
  • Äldst först
  • Nyast först
  • Skapad (Äldst först)
  • Skapad (Nyast först)
  • Senast uppdaterad (Äldst först)
  • Senast uppdaterad (Nyast först)
  • Disputationsdatum (tidigaste först)
  • Disputationsdatum (senaste först)
  • Standard (Relevans)
  • Författare A-Ö
  • Författare Ö-A
  • Titel A-Ö
  • Titel Ö-A
  • Publikationstyp A-Ö
  • Publikationstyp Ö-A
  • Äldst först
  • Nyast först
  • Skapad (Äldst först)
  • Skapad (Nyast först)
  • Senast uppdaterad (Äldst först)
  • Senast uppdaterad (Nyast först)
  • Disputationsdatum (tidigaste först)
  • Disputationsdatum (senaste först)
Markera
Maxantalet träffar du kan exportera från sökgränssnittet är 250. Vid större uttag använd dig av utsökningar.
  • 51.
    Björkskog, Gaston
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Detecting cheaters who utilise third-party software to gain an advantage in multiplayer video games2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Playing video games are meant to be a fun experience but something that has been proven to ruin the experience are cheaters, maybe even more so in events such as tournaments where money is involved. Even if anti-cheating software exists there also exists a research gap in the subject of cheat detection. And regarding cheat detection the question that matters the most is: how do you even detect a player that is using 3rd-party software to gain an unfair advantage in online video games? To find a solution for this problem a systematic literature review was made were data was extracted from articles relevant for the subject and summarised into results. From the results, a few elementary concepts regarding cheat detection are introduced and analysed with comparisons to the problem statement. Finally, five different types of cheat detection are shown that work by analysing objects such as behaviour, game state or memory.

  • 52.
    Björn, Hedin
    et al.
    KTH Royal Institute of Technology.
    Zapico, Jorge Luis
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för medieteknik (ME).
    Kilowh.at – Increasing Energy Awareness Using an Interactive Energy Comparison Tool2017Ingår i: Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors / [ed] de Vries, P.W., Oinas-Kukkonen, H., Siemons, L., Beerlage-de Jong, N., van Gemert-Pijnen, L, Springer, 2017, s. 175-185Konferensbidrag (Refereegranskat)
    Abstract [en]

    Reducing the use of energy is important for several reasons, such as saving money and reducing impact on the climate. However, the awareness among non-experts of how much energy is required by different activities is generally low, which can lead to wrong prioritizations. In this study, we have developed an interactive tool to increase “energy awareness”. A group of 58 students first did a test to benchmark their current energy awareness, then tried the tool for 10 min, and then did the same test immediately after trying the prototype and one week after trying the prototype. In addition, they answered questions regarding which, if any, of the energy requirement of different activities surprised them, any thoughts about their own energy use aroused after using the prototype and what they thought about using the tool compared to more conventional methods of learning. The results showed a significant learning effect in energy awareness with a very strong effect size of 1.689, that they were most surprised by the energy required to produce a hamburger, 39 of 58 explicitly said they intended to change one or more aspects in order to improve their energy use, where 24 actions involved changing habits and 18 actions was of a one-time investment character. The attitude towards using such a tool instead of more conventional learning was very good and the words most frequently used to describe the tool was good, simple and easy to use, fun, and interesting, but five users also said they were bored after a while. In total the results indicate that using an interactive tool like this even for a limited time is a good way to in an efficient and fun way increase energy awareness.

  • 53.
    Björn, Hedin
    et al.
    KTH Royal Institute of Technology.
    Zapico, Jorge Luis
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    What Can You Do with 100 kWh?: A Longitudinal Study of Using an Interactive Energy Comparison Tool to Increase Energy Awareness2018Ingår i: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, nr 7, artikel-id 2269Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Reducing the use of energy is important for several reasons, such as saving money and reducing impact on the climate. However, the awareness among non-experts of how much energy is required by different activities and appliances is generally low, which can lead to wrong prioritizations. In this study, we have developed an interactive tool to increase “energy awareness”, and performed a longitudinal study to evaluate its effect. A group of 58 students first did a test to benchmark their current energy awareness, where their current knowledge of energy used for 14 different activities, such as driving vehicles and using home appliances, was measured. They then tried the interactive learning tool for 10 min. Next, they did the same test immediately after trying the tool, then again one week after trying the tool, and finally again six months after trying the tool. The results showed a significant learning effect in energy awareness with a “huge” effect size of 2.25 immediately after the intervention, a “very large” effect size of 1.70 after one week, and a “large” effect size of 0.93 after six months. The results further showed that the respondents consistently underestimated what 100 kWh could be used for, and especially so for appliances and activities requiring little energy. Before the intervention, on average they underestimated how much 100 kWh could be used for by 95.2%, and six months after the intervention the underestimation was 86.8%.

  • 54.
    Bohne, Ulrica
    et al.
    KTH Royal Inst Technol.
    Zapico, Jorge Luis
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME). KTH Royal Inst Technol.
    Katzeff, Cecilia
    KTH Royal Inst Technol;Interact Swedish ICT, Eskilstuna.
    The EcoPanel: designing for reflection on greener grocery shopping practices2015Ingår i: Proceedings of Enviroinfo and ICT for Sustainability 2015, 2015, s. 221-228Konferensbidrag (Refereegranskat)
    Abstract [en]

    While the purchases of organic food are increasing rapidly, it accounts for only a small fraction of the total consumption, and there is still a big gap between consumer values awareness and the actual consumption. This article explores how detailed personal feedback could help the households to gain insight and reflect on their consumption, the text presents the design process of developing a prototype, the EcoPanel, in collaboration with a major player on the food retail market. Based on the access to detailed tracking of purchase data, the aim of the design was to provide relevant feedback to facilitate for reflection on the user's own food choices. The design prototype is intended to serve as an instrument for insight and reflection and to bring unconscious aspects of grocery shopping to conscious awareness. Following a research through design approach, this article describes the interdependent steps in designing the EcoPanel and design decisions playing a role for users' critical reflection of their food choice practices. It discusses the intention of each module in providing insight. Finally, we discuss how a social practice perspective may be useful for identifying fruitful future research into the design for more sustainable grocery shopping practices

  • 55.
    Bonnevier, Jesper
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Designing an Interactive Video Editing Tool for Teachers2018Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    This study aims to find the answers to how an online interactive video editing tool for teachers to use would be designed. To find out the answers to this, students studying to become teachers and experienced teachers were interviewed and used for observations and usability testing of a prototype. In total there were 27 unique data gathering situations with 11 unique participants. The five teacher students who were participating were all teacher students at Linnaeus University in Växjö. The six experienced teachers have been teaching for many years and are currently lecturing teachers about new technology that can be used in the classroom. The result from interviews, observations and literature search contributed to a list of requirements which in turn became a prototype. What has been discovered is that teachers need a tool which is easy to use with interactions and functions such as adding clickable annotations to clips and creating playlists which will help teachers plan ahead and save time during lectures.

  • 56.
    Borgo, Rita
    et al.
    Kings College London, UK.
    Lee, Bongshin
    Microsoft Research, USA.
    Bach, Benjamin
    Microsoft Research - Inria, France.
    Fabrikant, Sara
    University of Zurich, Switzerland.
    Jianu, Radu
    City University London, UK.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Kobourov, Stephen
    University of Arizona, USA.
    McGee, Fintan
    Luxembourg Institute of Science and Technology, Luxembourg.
    Micallef, Luana
    Helsinki Institute for Information Technology, Finland.
    von Landesberger, Tatiana
    Darmstadt University, Germany.
    Ballweg, Katrin
    Darmstadt University, Germany.
    Diehl, Stephan
    University Trier, Germany.
    Simonetto, Paolo
    Swansea University, UK.
    Zhou, Michelle
    Juji, USA.
    Crowdsourcing for Information Visualization: Promises and Pitfalls2017Ingår i: Evaluation in the Crowd: Crowdsourcing and Human-Centered Experiments / [ed] Daniel Archambault, Helen Purchase, and Tobias Hoßfeld, Springer Publishing Company, 2017, s. 96-138Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Crowdsourcing offers great potential to overcome the limitations of controlled lab studies. To guide future designs of crowdsourcing-based studies for visualization, we review visualization research that has attempted to leverage crowdsourcing for empirical evaluations of visualizations. We discuss six core aspects for successful employment of crowdsourcing in empirical studies for visualization – participants, study design, study procedure, data, tasks, and metrics & measures. We then present four case studies, discussing potential mechanisms to overcome common pitfalls. This chapter will help the visualization community understand how to effectively and efficiently take advantage of the exciting potential crowdsourcing has to offer to support empirical visualization research.

  • 57.
    Borstler, Jurgen
    et al.
    Blekinge Institute of Technology, Sweden.
    Stoerrle, Harald
    QAware GmbH, Germany.
    Toll, Daniel
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    van Assema, Jelle
    Univ Amsterdam, Netherlands.
    Duran, Rodrigo
    Aalto Univ, Finland.
    Hooshangi, Sara
    George Washington Univ, USA.
    Jeuring, Johan
    Univ Utrecht, Netherlands.
    Keuning, Hieke
    Windesheim Univ Appl Sci, Netherlands.
    Kleiner, Carsten
    Univ Appl Sci & Arts Hannover, Germany.
    MacKellar, Bonnie
    St Johns Univ, USA.
    "I know it when I see it" - Perceptions of Code Quality ITiCSE'17 Working Group Report2017Ingår i: ITICSE-WGR'17: PROCEEDINGS OF THE 2017 ITICSE CONFERENCE WORKING GROUP REPORTS, ACM Publications, 2017, s. 70-85Konferensbidrag (Refereegranskat)
    Abstract [en]

    Context. Code quality is a key issue in software development. The ability to develop high quality software is therefore a key learning goal of computing programs. However, there are no universally accepted measures to assess the quality of code and current standards are considered weak. Furthermore, there are many facets to code quality. Defining and explaining the concept of code quality is therefore a challenge faced by many educators. Objectives. In this working group, we investigated code quality as perceived by students, educators, and professional developers, in particular, the differences in their views of code quality and which quality aspects they consider as more or less important. Furthermore, we investigated their sources for information about code quality and its assessment. Methods. We interviewed 34 students, educators and professional developers regarding their perceptions of code quality. For the interviews they brought along code from their own experience to discuss and exemplify code quality. Results. There was no common definition of code quality among or within these groups. Quality was mostly described in terms of indicators that could measure an aspect of code quality. Among these indicators, readability was named most frequently by all groups. The groups showed significant differences in the sources they use for learning about code quality with education ranked lowest in all groups. Conclusions. Code quality should be discussed more thoroughly in educational programs.

  • 58.
    Bozios, Athanasios
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Fog Computing: Architecture and Security aspects2018Självständigt arbete på grundnivå (kandidatexamen), 180 hpStudentuppsats (Examensarbete)
    Abstract [en]

    As the number of Internet of Things (IoT) devices that are used daily is increasing, the inadequacy of cloud computing to provide neseccary IoT-related features, such as low latency, geographic distribution and location awareness, is becoming more evident. Fog computing is introduced as a new computing paradigm, in order to solve this problem by extending the cloud‟s storage and computing resources to the network edge. However, the introduction of this new paradigm is also confronted by various security threats and challenges since the security practices that are implemented in cloud computing cannot be applied directly to this new architecture paradigm. To this end, various papers have been published in the context of fog computing security, in an effort to establish the best security practices towards the standardization of fog computing. In this thesis, we perform a systematic literature review of current research in order to provide with a classification of the various security threats and challenges in fog computing. Furthermore, we present the solutions that have been proposed so far and which security challenge do they address. Finally, we attempt to distinguish common aspects between the various proposals, evaluate current research on the subject and suggest directions for future research.

  • 59.
    Bravo, Giangiacomo
    et al.
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Laitinen, Mikko
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Levin, Magnus
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Petersson, Göran
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO).
    Big Data in Cross-Disciplinary Research: J.UCS Focused Topic2017Ingår i: Journal of universal computer science (Online), ISSN 0948-695X, E-ISSN 0948-6968, Vol. 23, nr 11, s. 1035-1037Artikel i tidskrift (Övrigt vetenskapligt)
  • 60. Broschert, Stefan
    et al.
    Coughlin, Tom
    Ferraris, Mourizio
    Flammini, Francesco
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Florido, Jose Gonzalez
    Gonzalez, Alejandro Cadenas
    Henz, Patrick
    de Kerckhove, Derrick
    Rosen, Roland
    Saracco, Roberto
    Singh, Aman
    Vitillo, Antony
    Yousif, Mazin
    Symbiotic Autonomous Systems: White Paper III2019Rapport (Övrig (populärvetenskap, debatt, mm))
  • 61.
    Buttar, Sarpreet Singh
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Applying Artificial Neural Networks to Reduce the Adaptation Space in Self-Adaptive Systems: an exploratory work2019Självständigt arbete på avancerad nivå (magisterexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Self-adaptive systems have limited time to adjust their configurations whenever their adaptation goals, i.e., quality requirements, are violated due to some runtime uncertainties. Within the available time, they need to analyze their adaptation space, i.e., a set of configurations, to find the best adaptation option, i.e., configuration, that can achieve their adaptation goals. Existing formal analysis approaches find the best adaptation option by analyzing the entire adaptation space. However, exhaustive analysis requires time and resources and is therefore only efficient when the adaptation space is small. The size of the adaptation space is often in hundreds or thousands, which makes formal analysis approaches inefficient in large-scale self-adaptive systems. In this thesis, we tackle this problem by presenting an online learning approach that enables formal analysis approaches to analyze large adaptation spaces efficiently. The approach integrates with the standard feedback loop and reduces the adaptation space to a subset of adaptation options that are relevant to the current runtime uncertainties. The subset is then analyzed by the formal analysis approaches, which allows them to complete the analysis faster and efficiently within the available time. We evaluate our approach on two different instances of an Internet of Things application. The evaluation shows that our approach dramatically reduces the adaptation space and analysis time without compromising the adaptation goals.

  • 62.
    Buttar, Sarpreet Singh
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Applying Machine Learning to Reduce the Adaptation Space in Self-Adaptive Systems: an exploratory work2018Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Self-adaptive systems are capable of autonomously adjusting their behavior at runtime to accomplish particular adaptation goals. The most common way to realize self-adaption is using a feedback loop(s) which contains four actions: collect runtime data from the system and its environment, analyze the collected data, decide if an adaptation plan is required, and act according to the adaptation plan for achieving the adaptation goals. Existing approaches achieve the adaptation goals by using formal methods, and exhaustively verify all the available adaptation options, i.e., adaptation space. However, verifying the entire adaptation space is often not feasible since it requires time and resources. In this thesis, we present an approach which uses machine learning to reduce the adaptation space in self-adaptive systems. The approach integrates with the feedback loop and selects a subset of the adaptation options that are valid in the current situation. The approach is applied on the simulator of a self-adaptive Internet of Things application which is deployed in KU Leuven, Belgium. We compare our results with a formal model based self-adaptation approach called ActivFORMS. The results show that on average the adaptation space is reduced by 81.2% and the adaptation time by 85% compared to ActivFORMS while achieving the same quality guarantees.

  • 63.
    Bytyçi, Eliot
    et al.
    University of Prishtina, Kosovo.
    Ahmedi, Lule
    University of Prishtina, Kosovo.
    Kurti, Arianit
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). Interactive Institute Swedish ICT.
    Association Rule Mining with Context Ontologies: An Application to Mobile Sensing of Water Quality2016Ingår i: Metadata and Semantics Research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings / [ed] Garoufallou, E., Subirats Coll, I., Stellato, A., Greenberg, J, Cham: Springer, 2016, s. 67-78Konferensbidrag (Refereegranskat)
    Abstract [en]

    Internet of Things (IoT) applications by means of wireless sensor networks (WSN) produce large amounts of raw data. These data might formally be defined by following a semantic IoT model that covers data, meta-data, as well as their relations, or might simply be stored in a database without any formal specification. In both cases, using association rules as a data mining technique may result into inferring interesting relations between data and/or metadata. In this paper we argue that the context has not been used extensively for added value to the mining process. Therefore, we propose a different approach when it comes to association rule mining by enriching it with a context-aware ontology. The approach is demonstrated by hand of an application to WSNs for water quality monitoring. Initially, new ontology, its concepts and relationships are introduced to model water quality monitoring through mobile sensors. Consequently, the ontology is populated with quality data generated by sensors, and enriched afterwards with context. Finally, the evaluation results of our approach of including context ontology in the mining process are promising: new association rules have been derived, providing thus new knowledge not inferable when applying association rule mining simply over raw data.

  • 64.
    Bång, Filip
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Computer vision as a tool for forestry2019Självständigt arbete på grundnivå (kandidatexamen), 180 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Forestry is a large industry in Sweden and methods have been developed to try to optimize the processes in the business. Yet computer vision has not been used to a large extent despite other industries using computer vision with success. Computer vision is a sub area of machine learning and has become popular thanks to advancements in the field of machine learning. This project plans to  investigate how some of the architectures used in computer vision perform when applied in the context of forestry. In this project four architectures were selected that have previously proven to perform well on a general dataset. These four architectures were configured to continue to train on trees and other objects in the forest. The trained architectures were tested by measuring frames per second (FPS) when performing object detection on a video and mean average precision (mAP) which is a measure of how well a trained architecture detects objects. The fastest one was an architecture using a Single Shot Detector together with MobileNet v2 as a base network achieving 29 FPS. The one with the best accuracy was using Faster R-CNN and Inception Resnet as a base network achieving 0.119 mAP on the test set. The overall bad mAP for the trained architectures resulted in that none of the architectures were considered to be useful in a real world scenario as is. Suggestions on how to improve the mAP is focused on improvements on the dataset.

  • 65.
    Börstler, Jürgen
    et al.
    Blekinge Institute of Technology.
    Störrle, Harald
    QAware GmbH, Germany.
    Toll, Daniel
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    van Assema, Jelle
    University of Amsterdam, Netherlands.
    Duran, Rodrigo
    Aalto University, Finland.
    Hooshangi, Sara
    George Washington University, USA.
    Jeuring, Johan
    Utrecht University, Netherlands.
    Hieke, Keuning
    Windesheim University of Applied Sciences, Netherlands.
    Kleiner, Carsten
    University of Applied Sciences & Arts Hannover, Germany.
    MacKellar, Bonnie
    St John's University, USA.
    "I know it when I see it": perceptions of code quality2017Ingår i: ITiCSE '17: Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, New York, NY, USA: Association for Computing Machinery (ACM), 2017, s. 389-389Konferensbidrag (Refereegranskat)
    Abstract [en]

    Code quality is a key issue in software development. The ability to develop software of high quality is therefore a key learning goal of computing programs. However, there are no universally accepted measures to assess the quality of code and current standards are consideredweak. Furthermore, there are many facets to code quality. Defining and explaining the concept of code quality is therefore a challenge faced by many educators. In this working group, we investigate the perceptions of code quality of students, teachers, and professional programmers. In particular, we are interested in the differences in views of code quality by students, educators, and professional programmers and which quality aspects they consider as more or less important. Furthermore, we are interested in which sources of information on code quality and its assessment are used by these groups. Eventually, this will help us to develop resources that can be used to broaden students' views on software quality.

  • 66.
    Büschel, Wolfgang
    et al.
    Technische Universität Dresden, Germany.
    Chen, Jian
    The Ohio State University, USA.
    Dachselt, Raimund
    Technische Universität Dresden, Germany.
    Drucker, Steven
    Microsoft Research, USA.
    Dwyer, Tim
    Monash University, Australia.
    Görg, Carsten
    University of Colorado, USA.
    Isenberg, Tobias
    Inria & Université Paris-Saclay, France.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    North, Chris
    Virginia Tech, USA.
    Stuerzlinger, Wolfgang
    Simon Fraser University, Canada.
    Interaction for Immersive Analytics2018Ingår i: Immersive Analytics / [ed] Kim Marriott, Falk Schreiber, Tim Dwyer, Karsten Klein, Nathalie Henry Riche, Takayuki Itoh, Wolfgang Stuerzlinger, and Bruce H. Thomas, Springer, 2018, s. 95-138Kapitel i bok, del av antologi (Övrigt vetenskapligt)
    Abstract [en]

    In this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal. Finally, we look at some emerging system designs that suggest future directions.

  • 67.
    Calinescu, Radu
    et al.
    Univ York, UK.
    Weyns, Danny
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Katholieke Univ Leuven, Belgium.
    Gerasimou, Simos
    Univ York, UK.
    Habli, Ibrahim
    Univ York, UK.
    Architecting Trustworthy Self-adaptive Systems (Tutorial)2019Ingår i: 2019 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION (ICSA-C 2019), IEEE, 2019, s. 3-4Konferensbidrag (Refereegranskat)
  • 68.
    Calinescu, Radu
    et al.
    University of York, UK.
    Weyns, Danny
    Katholieke Universiteit Leuven.
    Gerasimou, Simos
    University of York, UK.
    Iftikhar, Muhammad Usman
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Habli, Ibrahim
    University of York, UK.
    Kelly, Tim
    University of York, UK.
    Engineering Trustworthy Self-Adaptive Software with Dynamic Assurance Cases2018Ingår i: IEEE Transactions on Software Engineering, ISSN 0098-5589, E-ISSN 1939-3520, Vol. 44, nr 11, s. 1039-1069Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Building on concepts drawn from control theory, self-adaptive software handles environmental and internal uncertainties by dynamically adjusting its architecture and parameters in response to events such as workload changes and component failures. Self-adaptive software is increasingly expected to meet strict functional and non-functional requirements in applications from areas as diverse as manufacturing, healthcare and finance. To address this need, we introduce a methodology for the systematic ENgineering of TRUstworthy Self-adaptive sofTware (ENTRUST). ENTRUST uses a combination of (1) design-time and runtime modelling and verification, and (2) industry-adopted assurance processes to develop trustworthy self-adaptive software and assurance cases arguing the suitability of the software for its intended application. To evaluate the effectiveness of our methodology, we present a tool-supported instance of ENTRUST and its use to develop proof-of-concept self-adaptive software for embedded and service-based systems from the oceanic monitoring and e-finance domains, respectively. The experimental results show that ENTRUST can be used to engineer self-adaptive software systems in different application domains and to generate dynamic assurance cases for these systems.

  • 69.
    Caporuscio, Mauro
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    D'Angelo, Mirko
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Grassi, V.
    Univ Roma Tor Vergata, Italy.
    Mirandola, R.
    Politecn Milan, Italy..
    Reinforcement Learning Techniques for Decentralized Self-adaptive Service Assembly2016Ingår i: SERVICE-ORIENTED AND CLOUD COMPUTING, (ESOCC 2016), Springer, 2016, s. 53-68Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper proposes a self-organizing fully decentralized solution for the service assembly problem, whose goal is to guarantee a good overall quality for the delivered services, ensuring at the same time fairness among the participating peers. The main features of our solution are: (i) the use of a gossip protocol to support decentralized information dissemination and decision making, and (ii) the use of a reinforcement learning approach to make each peer able to learn from its experience the service selection rule to be followed, thus overcoming the lack of global knowledge. Besides, we explicitly take into account load-dependent quality attributes, which lead to the definition of a service selection rule that drives the system away from overloading conditions that could adversely affect quality and fairness. Simulation experiments show that our solution self-adapts to occurring variations by quickly converging to viable assemblies maintaining the specified quality and fairness objectives.

  • 70.
    Caporuscio, Mauro
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Flammini, Francesco
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Khakpour, Narges
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Singh, Prasannjeet
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Thornadtsson, Johan
    Sigma Technology, Sweden.
    Smart-troubleshooting connected devices: Concept, challenges and opportunities2019Ingår i: Future generations computer systems, ISSN 0167-739X, E-ISSN 1872-7115Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Today’s digital world and evolving technology has improved the quality of our lives but it has also come with a number of new threats. In the society of smart-cities and Industry 4.0, where many cyber-physical devices connect and exchange data through the Internet of Things, the need for addressing information security and solve system failures becomes inevitable. System failures can occur because of hardware failures, software bugs or interoperability issues. In this paper we introduce the industry-originated concept of “smart-troubleshooting” that is the set of activities and tools needed to gather failure information generated by heterogeneous connected devices, analyze them, and match them with troubleshooting instructions and software fixes. As a consequence of implementing smart-troubleshooting, the system would be able to self-heal and thus become more resilient. This paper aims to survey frameworks, methodologies and tools related to this new concept, and especially the ones needed to model, analyze and recover from failures in a (semi)automatic way. Smart-troubleshooting has a relation with event analysis to perform diagnostics and prognostics on devices manufactured by different suppliers in a distributed system. It also addresses management of appropriate product information specified in possibly unstructured formats to guide the troubleshooting workflow in identifying fault–causes and solutions. Relevant research is briefly surveyed in the paper in order to highlight current state-of-the-art, open issues, challenges to be tackled and future opportunities in this emerging industry paradigm.

  • 71.
    Caporuscio, Mauro
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Mirandola, Raffaela
    Polytechnic University of Milan, Italy.
    Trubiani, Catia
    Gran Sasso Science Institute, Italy.
    Building design-time and run-time knowledge for QoS-based component assembly2017Ingår i: Software, practice & experience, ISSN 0038-0644, E-ISSN 1097-024X, Vol. 47, nr 12, s. 1905-1922Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Modern software systems are required to dynamically adapt to changing workloads, scenarios, and objectives and to achieve a certain Quality of Service (QoS). Guaranteeing QoS requirements is not trivial, as run-time uncertainty might invalidate the design-time rationale, where software components have been selected by means of off-line analysis. In this work, we propose a QoS-based feedback approach that makes a combined use of design-time predictions and run-time measurements to manage QoS data over time and support software architects while selecting software components that best fit QoS requirements. We illustrate the feasibility and efficacy of the approach on a case study, where the quantitative evaluation shows how the analysis effectively identifies the sources of QoS violations and indicates possible solutions to achieve QoS requirements.

  • 72.
    Caporuscio, Mauro
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Weyns, Danny
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). Katholieke University Leuven, Belgium.
    Andersson, Jesper
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Axelsson, Clara
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO).
    Petersson, Göran
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO).
    IoT-enabled Physical Telerehabilitation Platform2017Ingår i: Proccedings of the International Workshop on Engineering IoT Systems: Architectures, Services, Applications, and Platforms, IEEE, 2017, s. 112-119Konferensbidrag (Refereegranskat)
    Abstract [en]

    Physical telerehabilitation services over the Internet allow physiotherapists to engage in remote consultation with patients at their homes, improving the quality of care and reducing costs. Traditional visual approaches, such as webcams and videophones, are limited in terms of precision of assessment and support for assistance with exercises. In this paper, we present a Physical Telerehabilitation System (PTS) that enhances video interaction with IoT technology to monitor the position of the body of patients in space and provide smart data to physiotherapists and users. We give an overview of the architecture of the PTS and evaluate (i) its usability based on a number of interviews and focus groups with stakeholders, and (ii) its technical efficiency based on a series of measurements. From this evaluation, we derive a number of challenges for further improvement of the PTS and outline a possible solution based on a microservices architecture.

  • 73.
    Cerratto-Pargman, Teresa
    et al.
    Stockholm University, Sweden.
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Beyond Innovation in Mobile Learning: towards Sustainability in Schools2016Ingår i: Mobile learning: the next generation / [ed] John Traxler, Agnes Kukulska-Hulme, New York: Routledge, 2016, s. 154-178Kapitel i bok, del av antologi (Refereegranskat)
  • 74.
    Cerratto-Pargman, Teresa
    et al.
    Stockholm University, Sweden.
    Otero, Nuno
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Spikol, Daniel
    Malmö University, Sweden.
    Knutsson, Ola
    Stockholm University, Sweden.
    Ramberg, Robert
    Stockholm University, Sweden.
    Purposeful Learning Across Collaborative Educational Spaces2014Ingår i: Learning and becoming in practice: The International Conference of the Learning Sciences (ICLS) 2014 : Proceedings, Volume 3, International Society of the Learning Sciences, 2014, Vol. 3, s. 1597-1598Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents the overall goals and preliminary results of an on-going research project that aims at: understanding the intricacies and complexities of introducing mobile technologies into schools’ curriculum and accepted teaching practices; analyzing actual transformations that the use of mobile technologies in schools brings to contemporary forms of learning. The results of the project will contribute to a better understanding of new media literacies and their implications for curriculum design and everyday educational practices.

  • 75.
    Chatzimparmpas, Angelos
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Bibi, Stamatia
    University of Western Macedonia, Greece.
    Zozas, Ioannis
    University of Western Macedonia, Greece.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Analyzing the Evolution of JavaScript Applications2019Ingår i: Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, SciTePress, 2019, Vol. 1, s. 359-366Konferensbidrag (Refereegranskat)
    Abstract [en]

    Software evolution analysis can shed light on various aspects of software development and maintenance. Up to date, there is little empirical evidence on the evolution of JavaScript (JS) applications in terms of maintainability and changeability, even though JavaScript is among the most popular scripting languages for front-end web applications. In this study, we investigate JS applications’ quality and changeability trends over time by examining the relevant Laws of Lehman. We analyzed over 7,500 releases of JS applications and reached some interesting conclusions. The results show that JS applications continuously change and grow, there are no clear signs of quality degradation while the complexity remains the same over time, despite the fact that the understandability of the code deteriorates.

  • 76.
    Chatzimparmpas, Angelos
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Martins, Rafael Messias
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Jusufi, Ilir
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    A Survey of Surveys on the Use of Visualization for Interpreting Machine Learning Models2020Ingår i: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Research in Machine Learning (ML) has become very popular in recent years, with many types of models proposed to comprehend and predict patterns and trends in data originating from different domains. As these models get more and more complex, it also becomes harder for users to assess and trust their results, since their internal operations are mostly hidden in black boxes. The interpretation of ML models is currently a hot topic in the Information Visualization (InfoVis) community, with results showing that insights from ML models can lead to better predictions and improve the trustworthiness of the results. Due to this, multiple (and extensive) survey articles have been published recently trying to summarize the high number of original research papers published on the topic. But there is not always a clear definition of what these surveys cover, what is the overlap between them, which types of ML models they deal with, or what exactly is the scenario that the readers will find in each of them. In this article, we present a meta-analysis (i.e., a “survey of surveys”) of manually collected survey papers that refer to the visual interpretation of ML models, including the papers discussed in the selected surveys. The aim of our article is to serve both as a detailed summary and as a guide through this survey ecosystem by acquiring, cataloging, and presenting fundamental knowledge of the state of the art and research opportunities in the area. Our results confirm the increasing trend of interpreting ML with visualizations in the past years, and that visualization can assist in, for example, online training processes of deep learning models and enhancing trust into ML. However, the question of exactly how this assistance should take place is still considered as an open challenge of the visualization community.

  • 77.
    Chatzimparmpas, Angelos
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Martins, Rafael Messias
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    t-viSNE: A Visual Inspector for the Exploration of t-SNE2018Ingår i: Presented at IEEE Information Visualization  (VIS '18), Berlin, Germany, 21-26 October, 2018, 2018Konferensbidrag (Refereegranskat)
    Abstract [en]

    The use of t-Distributed Stochastic Neighborhood Embedding (t-SNE) for the visualization of multidimensional data has proven to be a popular approach, with applications published in a wide range of domains. Despite their usefulness, t-SNE plots can sometimes be hard to interpret or even misleading, which hurts the trustworthiness of the results. By opening the black box of the algorithm and showing insights into its behavior through visualization, we may learn how to use it in a more effective way. In this work, we present t-viSNE, a visual inspection tool that enables users to explore anomalies and assess the quality of t-SNE results by bringing forward aspects of the algorithm that would normally be lost after the dimensionality reduction process is finished.

  • 78.
    Chernenko, Andrii
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Facilitating comprehension of Swift programs2018Självständigt arbete på avancerad nivå (masterexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Program comprehension is the process of gaining knowledge about software system by extracting it from its source code or observing its behavior at runtime. Often, when documentation is unavailable or missing, this is the only reliable source of knowledge about the system, and the fact that up to 50% of total maintenance effort is spent understanding the system makes it even more important. The source code of large software systems contains thousands, sometimes millions of lines of code, motivating the need for automation, which can be achieved with the help of program comprehension tools. This makes comprehension tools an essential factor in the adoption of new programming languages. This work proposes a way to fill this gap in the ecosystem of Swift, a new, innovative programming language aiming to cover a wide range of applications while being safe, expressive, and performant. The proposed solution is to bridge the gap between Swift and VizzAnalyzer, a program analysis framework featuring a range of analyses and visualizations, as well as modular architecture which makes adding new analyses and visualizations easier. The idea is to define a formal model for representing Swift programs and mapping it to the common program model used by VizzAnalyzer as the basis for analyses and visualizations. In addition to that, this paper discusses the differences between Swift and programming languages which are already supported by VizzAnalyzer, as well as practical aspects of extracting the models of Swift programs from their source code.

  • 79.
    Chozas, Adridan Calvo
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Memeti, Suejb
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Pllana, Sabri
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). Linnaeus Univ, S-35195 Vaxjo, Sweden..
    Using Cognitive Computing for Learning Parallel Programming: An IBM Watson Solution2017Ingår i: International Conference on Computational Science (ICCS 2017) / [ed] Koumoutsakos, P Lees, M Krzhizhanovskaya, V Dongarra, J Sloot, P, Elsevier, 2017, s. 2121-2130Konferensbidrag (Refereegranskat)
    Abstract [en]

    While modern parallel computing systems provide high performance resources, utilizing them to the highest extent requires advanced programming expertise. Programming for parallel computing systems is much more difficult than programming for sequential systems. OpenMP is an extension of C++ programming language that enables to express parallelism using compiler directives. While OpenMP alleviates parallel programming by reducing the lines of code that the programmer needs to write, deciding how and when to use these compiler directives is up to the programmer. Novice programmers may make mistakes that may lead to performance degradation or unexpected program behavior. Cognitive computing has shown impressive results in various domains, such as health or marketing. In this paper, we describe the use of IBM Watson cognitive system for education of novice parallel programmers. Using the dialogue service of the IBM Watson we have developed a solution that assists the programmer in avoiding common OpenMP mistakes. To evaluate our approach we have conducted a survey with a number of novice parallel programmers at the Linnaeus University, and obtained encouraging results with respect to usefulness of our approach. (C) 2017 The Authors. Published by Elsevier B.V.

  • 80.
    Claesson, Lena
    et al.
    Blekinge Institute of Technology.
    Lundberg, Jenny
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Zackrisson, Johan
    Blekinge Institute of Technology.
    Johansson, Sven
    Blekinge Institute of Technology.
    Håkansson, Lars
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för maskinteknik (MT).
    Expert Competence in Remote Diagnostics: Industrial Interests, Educational Goals, Flipped Classroom & Laboratory Settings2018Ingår i: Online Engineering & Internet of Things: Proceedings of the 14th International Conference on Remote Engineering and Virtual Instrumentation REV 2017, held 15-17 March 2017, Columbia University, New York, USA / [ed] Michael E. Auer & Danilo G. Zutin, Springer, 2018, Vol. 22, s. 438-451Konferensbidrag (Refereegranskat)
    Abstract [en]

    The manufacturing industry are dependent of engineering expertise. Currently the ability to supply the industry with engineering graduates and staff that have an up-to- date and relevant competences might be considered as a challenge for the society. In this paper an education approach is presented where academia - industry - research institutes cooperate around the development and implementation of master level courses. The methods applied to reach the educational goals, concerning expert competence within remote diagnostics, have been on site and remote lectures given by engineering, medical and metrology experts. The pedagogical approach utilized has been flipped classroom. The main results show that academic courses developed in cooperation with industry requires flexibility, time and effort from the involved partners. The evaluation interviews indicate that student are satisfied with the courses and pedagogical approach but suggests more reconciliation meetings for course development. Labs early in the course was considered good, and division of labs at the system and the component level. However further long- term studies of evaluation of impact is necessary.

  • 81.
    Dadzie, Aba-Sah
    et al.
    KMi, The Open University, UK.
    Müller, Maximilian
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för medieteknik (ME).
    Alissandrakis, Aris
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för medieteknik (ME).
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för medieteknik (ME).
    Collaborative Learning through Creative Video Composition on Distributed User Interfaces2016Ingår i: State-of-the-Art and Future Directions of Smart Learning / [ed] Li, Y., Chang, M., Kravcik, M., Popescu, E., Huang, R., Kinshuk, Chen, N.-S., Springer, 2016, 1, s. 199-210Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    We report two studies that fed into user-centred design for pedagogical and technological scaffolds for social, constructive learning through creative, collaborative, reflective video composition. The studies validated this learning approach and verified the utility and usability of an initial prototype (scaffold) built to support it. However, challenges in interaction with the target technology, multi-touch tabletops, impacted ability to carry out prescribed learning activities. Our findings point to the need to investigate an alternative approach and informed redesign of our scaffolds. We propose coupling of distributed user interfaces, using mobile devices to access large, shared displays, to augment capability to follow our constructive learning process. We discuss also the need to manage recognised challenges to collaboration with a distributed approach.

  • 82.
    Dalipi, Fisnik
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). University of South-Eastern Norway, Norway.
    Ferati, Mexhid
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för informatik (IK).
    Kurti, Arianit
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). RISE - Research Institutes of Sweden.
    Integrating MOOCs in Regular Higher Education: Challenges and Opportunities from a Scandinavian Perspective2018Ingår i: Learning and Collaboration Technologies: Design, Development and Technological Innovation. LCT 2018 / [ed] Panayiotis Zaphiris and Andri Ioannou, Springer, 2018, Vol. 10924, s. 193-204Konferensbidrag (Refereegranskat)
    Abstract [en]

    MOOCs are increasingly being considered by universities as an integral part of their curriculum. Nevertheless, there are several challenges that to some extent slow this process, where the most important one is the accreditation challenges and financing. These challenges are particularly important in the context of universities in Scandinavian countries where education is mostly free. In order to gain more insights on the status of proliferation of MOOCs in Scandinavian universities and understand any specific challenges, we conducted a study by analyzing two sources of data: research publications and university websites. Further on, these data have been analyzed using a framework that differentiates and categorizes MOOCs in terms of accreditation and scalability. As a result of this analysis, we have identified the remaining challenges as well as a number of opportunities regarding the full integration of MOOCs in the educational system of the Scandinavian Higher Education Institutions.

  • 83.
    Dalipi, Fisnik
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). Tetovo University, Macedonia.
    Idrizi, Florim
    Tetovo University, Macedonia.
    Kurti, Arianit
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). RISE Interactive, Norrköping.
    Exploring the Impact of Social Learning Networks in M-Learning: a Case Study in a University Environment2017Ingår i: Learning and Collaboration Technologies Novel Learning Ecosystems: 4th International Conference, LCT 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I / [ed] Panayiotis Zaphiris, Andri Ioannou, Vancouver: Springer, 2017, s. 189-198Konferensbidrag (Refereegranskat)
    Abstract [en]

    The high penetration of Internet, advances in mobile computing and the rise of smartphone usage has largely enhanced the use of social media in education. Moreover, nowadays social learning network (SLN) platforms have become an important educational technology component in higher education. Despite the fact that SLN are becoming ubiquitous in the higher education, there is relatively not much empirical work done investigating their purposefulness when integrated into the learning activities. This paper aims at exploring the impact of SLN in mobile assisted learning and to provide empirical evidence as to what extent SLN and mobile learning (M-learning) can improve the learning experiences. For this purpose, a quantitative experimental approach is used, and two survey questionnaires were conducted. The data is collected from 120 participants. In this study, we focus our intention on Edmodo and Kahoot platforms, which represent social media based tools that aid and support collaboration, knowledge sharing and group activities among students. Computer science students of the Tetovo University (TU) used these tools throughout one semester. From this study, there is significant evidence that students are very interested to use this SLN in a M-learning setting, indicating that SLN can be one of the promising pedagogical technologies that could contribute effectively to learning process.

  • 84.
    Dalipi, Fisnik
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). Univ Coll Southeast Norway, Norway.
    Imran, Ali Shariq
    Norwegian Univ Sci & Technol NTNU, Norway.
    Kastrati, Zenun
    Norwegian Univ Sci & Technol NTNU, Norway.
    MOOC Dropout Prediction Using Machine Learning Techniques: Review and Research Challenges2018Ingår i: Proceedings of 2018 IEEE Global Engineering Education Conference (EDUCON) - Emerging Trends and Challenges of Engineering Education, IEEE, 2018, s. 1007-1014Konferensbidrag (Refereegranskat)
    Abstract [en]

    MOOC represents an ultimate way to deliver educational content in higher education settings by providing high-quality educational material to the students throughout the world. Considering the differences between traditional learning paradigm and MOOCs, a new research agenda focusing on predicting and explaining dropout of students and low completion rates in MOOCs has emerged. However, due to different problem specifications and evaluation metrics, performing a comparative analysis of state-of-the-art machine learning architectures is a challenging task. In this paper, we provide an overview of the MOOC student dropout prediction phenomenon where machine learning techniques have been utilized. Furthermore, we highlight some solutions being used to tackle with dropout problem, provide an analysis about the challenges of prediction models, and propose some valuable insights and recommendations that might lead to developing useful and effective machine learning solutions to solve the MOOC dropout problem.

  • 85.
    Dalipi, Fisnik
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Kurti, Arianit
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). RISE Interactive Institute.
    Zdravkova, Katerina
    Ss. Cyril and Methodius University, Macedonia.
    Ahmedi, Lule
    University of Prishtina, Serbia.
    Rethinking the conventional learning paradigm towards MOOC based flipped classroom learning2017Ingår i: 16th International Conference on Information Technology Based Higher Education and Training (ITHET), 10-12 June, 2017, Ohrid, Macedonia, IEEE, 2017, artikel-id 8067791Konferensbidrag (Refereegranskat)
    Abstract [en]

    The recent proliferation of Massive Open Online Courses (MOOCs) has initiated a plethora of research endeavors revolving around new pedagogical methods in higher education. Integrating MOOCs in blended learning can be beneficial in different ways for both learners and instructors. In this position paper, we aim to provide a brief and comprehensive review about the challenges that higher education institutions in Macedonia and Kosovo face while coping with the new trends of flexible or blended learning. Moreover, after describing some real cases of MOOC based flipped classroom learning, we also provide some recommendations in order to enhance and enrich learning experience by employing innovative pedagogies.

  • 86. Dambrot, Stuart Mason
    et al.
    de Kerchove, Derrick
    Flammini, Francesco
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kinsner, Witold
    MacDonald Glenn, Linda
    Saracco, Roberto
    IEEE Symbiotic Autonomous Systems White Paper II2018Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This White Paper follows the first one produced in 2017 by the IEEE Symbiotic Autonomous Systems Initiative (SAS)1 , extending it to address updated technologies and cover additional topics due to the evolution of science and technology. Additional white papers will follow because this is an area in continuous development.  

    The first examples of symbioses are already available in a number of areas, and even now, these are impacting our economic system and way of life. The IEEE SAS Initiative takes a 360° view based on technology and standardization—the foundation of IEEE—and invites all interested constituencies to contribute complementary point of views, including economic, regulatory, and sociocultural perspectives. The transformation fostered by technology evolution in all paths of life requires planning and education by current and future players. Another goal of the initiative is to consider the future of education, given that these symbioses transform its meaning, making it both shared and distributed.  

    In this respect, the aims of this White Paper are to further develop the ideas presented in the first white paper: (1) to highlight impacts that are clearly identifiable today, and (2) to indicate emerging issues, thus providing a starting point to those involved in making public policy to understand the technical fundamentals, their evolution and their potential implications.  

    Note that this White Paper is intended to be self-contained, without requiring the reader to read the previous white paper.

  • 87.
    D'Angelo, Mirko
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Decentralized Self-Adaptive Computing at the Edge2018Ingår i: 2018 IEEE/ACM 13TH International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), IEEE, 2018, s. 144-148Konferensbidrag (Refereegranskat)
    Abstract [en]

    Nowadays, computing infrastructures are usually deployed in fully controlled environments and managed in a centralized fashion. Leveraging on centralized infrastructures prevent the system to deal with scalability and performance issues, which are inherent to modern large-scale data-intensive applications. On the other hand, we envision fully decentralized computing infrastructures deployed at the edge of the network providing the required support for operating data-intensive systems. However, engineering such systems raises many challenges, as decentralization introduces uncertainty, which in turn may harm the dependability of the system. To this end, self-adaptation is a key approach to manage uncertainties at runtime and satisfy the requirements of decentralized data-intensive systems. This paper shows the research directions and current contributions towards this vision by (i) evaluating the impact of the distribution of computational entities, (ii) engineering decentralized computing through self-adaptation and, (iii) evaluating decentralized and self-adaptive applications.

  • 88.
    D'Angelo, Mirko
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Caporuscio, Mauro
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Pure Edge Computing Platform for the Future Internet2016Ingår i: Software Technologies: Applications and Foundations (STAF 2016): Collocated Workshops: DataMod, GCM, HOFM, MELO, SEMS, VeryComp. Revised Selected Papers / [ed] Milazzo, Paolo; Varró, Dániel; Wimmer, Manuel, Vienna: Springer, 2016, s. 458-469Konferensbidrag (Refereegranskat)
    Abstract [en]

    Future Internet builds upon three key pillars – namely, Internet of Things, Internet of Services, and Internet of Contents – and is considered as a worldwide execution environment that interconnects myriad heterogeneous entities over time, supports information dissemination, enables the emergence of promising application domains, and stimulate new business and research opportunities. In this paper we analyse the challenges towards the actualisation of the Future Internet. We argue that the mobile nature inherent to modern communications and interactions requires a radical shift towards new computing paradigms that fully reflect the network-based perspective of the emerging environment. Indeed, we position the adoption of a Pure Edge Computing platform that offers designing and programming abstractions to specify, implement and operate Future Internet applications.

  • 89.
    D'Angelo, Mirko
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Caporuscio, Mauro
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    SA-Chord: A Self-Adaptive P2P Overlay Network2018Ingår i: Proceedings. 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems: FAS*W 2018. 3–7 September 2018 Trento, Italy, Los Alamitos, CA: IEEE, 2018, s. 118-123Konferensbidrag (Refereegranskat)
    Abstract [en]

    Pure Edge Computing relies on peer-to-peer overlay networks to realize the communication backbone between participating entities. In these settings, entities are characterized by high heterogeneity, mobility, and variability, which introduce runtime uncertainty and may harm the dependability of the network. Departing from state-of-the-art solutions, overlay networks for Pure Edge Computing should take into account the dynamics of the operating environment and self-adapt their topology accordingly, in order to increase the dependability of the communication. To this end, this paper discusses the preliminary development and validation of SA-Chord, a self-adaptive version of the wellknown Chord protocol, able to adapt the network topology according to a given global goal. SA-Chord has been validated through simulation against two distinct goals: (i) minimize energy consumption and, (ii) maximize network throughput. Simulation results are promising and show how SA-Chord efficiently and effectively achieves a given goal.

  • 90.
    D'Angelo, Mirko
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Caporuscio, Mauro
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Napolitano, Annalisa
    University of Rome 'Tor Vergata', Italy.
    Model-driven Engineering of Decentralized Control in Cyber-Physical Systems2017Ingår i: Proceedings of the 2nd International Workshop on  Foundations and Applications of Self* Systems (FAS*W), IEEE, 2017, s. 7-12Konferensbidrag (Refereegranskat)
    Abstract [en]

    Self-Adaptation is nowadays recognized as an effective approach to manage the complexity and dynamics inherent to cyber-physical systems, which are composed of deeply intertwined physical and software components interacting with each other. A self-Adaptive system typically consists of a managed subsystem and a managing subsystem that implements the adaptation logic by means of the well established MAPE-K control loop. Since in large distributed settings centralized control is hardly adequate to manage the whole system, self-Adaptation should be achieved through collective decentralized control, that is multiple cyber-physical entities must adapt in order to address critical runtime conditions. Developing such systems is challenging, as several dimensions concerning both the cyber-physical system and the decentralized control loop should be considered. To this end, we promote MAPE-K components as first-class modeling abstractions and provide a framework supporting the design, development, and validation of decentralized self-Adaptive cyber-physical systems.

  • 91.
    D'Angelo, Mirko
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Napolitano, Annalisa
    IMT School for Advanced Studies, Italy.
    Caporuscio, Mauro
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    CyPhEF: A Model-driven Engineering Framework for Self-adaptive Cyber-physical Systems2018Ingår i: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, ACM Press, 2018, s. 101-104Konferensbidrag (Refereegranskat)
    Abstract [en]

    Self-adaptation is nowadays recognized as an effective approach to deal with the uncertainty inherent to cyber-physical systems, which are composed of dynamic and deeply intertwined physical and software components interacting with each other. Engineering a self-adaptive cyber-physical system is challenging, as concerns about both the physical and the control system should be jointly considered. To this end, we present CyPhEF, a Model-Driven Engineering framework supporting the development and validation of self-adaptive cyber-physical systems.

    Demo video: https://youtu.be/nmg-w2kfKEA.

  • 92.
    Danylenko, Antonina
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Decision Algebra: A General Approach to Learning and Using Classifiers2015Doktorsavhandling, monografi (Övrigt vetenskapligt)
    Abstract [en]

    Processing decision information is a vital part of Computer Science fields in which pattern recognition problems arise. Decision information can be generalized as alternative decisions (or classes), attributes and attribute values, which are the basis for classification. Different classification approaches exist, such as decision trees, decision tables and Naïve Bayesian classifiers, which capture and manipulate decision information in order to construct a specific decision model (or classifier). These approaches are often tightly coupled to learning strategies, special data structures and the special characteristics of the decision information captured, etc. The approaches are also connected to the way of how certain problems are addressed, e.g., memory consumption, low accuracy, etc. This situation causes problems for a simple choice, comparison, combination and manipulation of different decision models learned over the same or different samples of decision information. The choice and comparison of decision models are not merely the choice of a model with a higher prediction accuracy and a comparison of prediction accuracies, respectively. We also need to take into account that a decision model, when used in a certain application, often has an impact on the application's performance. Often, the combination and manipulation of different decision models are implementation- or application-specific, thus, lacking the generality that leads to the construction of decision models with combined or modified decision information. They also become difficult to transfer from one application domain to another. In order to unify different approaches, we define Decision Algebra, a theoretical framework that presents decision models as higher order decision functions that abstract from their implementation details. Decision Algebra defines the operations necessary to decide, combine, approximate, and manipulate decision functions along with operation signatures and general algebraic laws. Due to its algebraic completeness (i.e., a complete algebraic semantics of operations and its implementation efficiency), defining and developing decision models is simple as such instances require implementing just one core operation based on which other operations can be derived. Another advantage of Decision Algebra is composability: it allows for combination of decision models constructed using different approaches. The accuracy and learning convergence properties of the combined model can be proven regardless of the actual approach. In addition, the applications that process decision information can be defined using Decision Algebra regardless of the different classification approaches. For example, we use Decision Algebra in a context-aware composition domain, where we showed that context-aware applications improve performance when using Decision Algebra. In addition, we suggest an approach to integrate this context-aware component into legacy applications.

  • 93.
    Danylenko, Antonina
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Lundberg, Jonas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Decisions: Algebra, Implementation, and First Experiments2014Ingår i: Journal of universal computer science (Online), ISSN 0948-695X, E-ISSN 0948-6968, Vol. 20, nr 9, s. 1174-1231Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Classification is a constitutive part in many different fields of Computer Science. There exist several approaches that capture and manipulate classification information in order to construct a specific classification model. These approaches are often tightly coupled to certain learning strategies, special data structures for capturing the models, and to how common problems, e.g. fragmentation, replication and model overfitting, are addressed. In order to unify these different classification approaches, we define a Decision Algebra which defines models for classification as higher order decision functions abstracting from their implementations using decision trees (or similar), decision rules, decision tables, etc. Decision Algebra defines operations for learning, applying, storing, merging, approximating, and manipulating models for classification, along with some general algebraic laws regardless of the implementation used. The Decision Algebra abstraction has several advantages. First, several useful Decision Algebra operations (e.g., learning and deciding) can be derived based on the implementation of a few core operations (including merging and approximating). Second, applications using classification can be defined regardless of the different approaches. Third, certain properties of Decision Algebra operations can be proved regardless of the actual implementation. For instance, we show that the merger of a series of probably accurate decision functions is even more accurate, which can be exploited for efficient and general online learning. As a proof of the Decision Algebra concept, we compare decision trees with decision graphs, an efficient implementation of the Decision Algebra core operations, which capture classification models in a non-redundant way. Compared to classical decision tree implementations, decision graphs are 20% faster in learning and classification without accuracy loss and reduce memory consumption by 44%. This is the result of experiments on a number of standard benchmark data sets comparing accuracy, access time, and size of decision graphs and trees as constructed by the standard C4.5 algorithm. Finally, in order to test our hypothesis about increased accuracy when merging decision functions, we merged a series of decision graphs constructed over the data sets. The result shows that on each step the accuracy of the merged decision graph increases with the final accuracy growth of up to 16%.

  • 94. de Lemos, Rogerio
    et al.
    Giese, Holger
    Müller, Hausi A.
    Shaw, Mary
    Andersson, Jesper
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Litoiu, Marin
    Schmerl, Bradley
    Tamura, Gabriel
    Villegas, Norha M.
    Vogel, Thomas
    Weyns, Danny
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Baresi, Luciano
    Becker, Basil
    Bencomo, Nelly
    Brun, Yuriy
    Cukic, Bojan
    Desmarais, Ron
    Dustdar, Schahram
    Engels, Gregor
    Geihs, Kurt
    Goschka, Karl M.
    Gorla, Alessandra
    Grassi, Vincenzo
    Inverardi, Paola
    Karsai, Gabor
    Kramer, Jeff
    Lopes, Antonia
    Magee, Jeff
    Malek, Sam
    Mankovskii, Serge
    Mirandola, Raffaela
    Mylopoulos, John
    Nierstrasz, Oscar
    Pezze, Mauro
    Prehofer, Christian
    Schaefer, Wilhelm
    Schlichting, Rick
    Smith, Dennis B.
    Sousa, Joao Pedro
    Tahvildari, Ladan
    Wong, Kenny
    Wuttke, Jochen
    Software Engineering for Self-Adaptive Systems: A Second Research Roadmap2013Ingår i: Software Engineering for Self-Adaptive Systems II: International Seminar, Dagstuhl Castle, Germany, October 24-29, 2010 Revised Selected and Invited Papers / [ed] Rogério de Lemos, Holger Giese, Hausi A. Müller, Mary Shaw, Springer, 2013, Vol. 7475, s. 1-32Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    The goal of this roadmap paper is to summarize the state-of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for self-adaptive solutions, software engineering processes for self-adaptive systems, from centralized to decentralized control, and practical run-time verification & validation for self-adaptive systems. For each topic, we present an overview, suggest future directions, and focus on selected challenges. This paper complements and extends a previous roadmap on software engineering for self-adaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. This roadmap is one of the many results of the Dagstuhl Seminar 10431 on Software Engineering for Self-Adaptive Systems, which took place in October 2010.

  • 95.
    de Oliveira, Ricardo Ramos
    et al.
    Univ Sao Paulo, Brazil.
    Martins, Rafael Messias
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Simao, Adenilso da Silva
    Univ Sao Paulo, Brazil.
    Impact of the Vendor Lock-in Problem on Testing as a Service (TaaS)2017Ingår i: 2017 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E 2017), IEEE, 2017, s. 190-196Konferensbidrag (Refereegranskat)
    Abstract [en]

    Testing as a Service (TaaS) is a new business and service model that provides efficient and effective software quality assurance and enables the use of a cloud for the meeting of quality standards, requirements and consumer's needs. However, problems that limit the effective use of TaaS involve lack of standardization in writing, execution, configuration and management of tests and lack of portability and interoperability among TaaS platforms - the so-called lock-in problem. The lock-in problem is a serious threat to software testing in the cloud and may become critical when a provider decides to suddenly increase prices, or shows serious technical availability problems. This paper proposes a novel approach for solving the lock-in problem in TaaS with the use of design patterns. The aim to assist software engineers and quality control managers in building testing solutions that are both portable and interoperable and promote a more widespread adoption of the TaaS model in cloud computing.

  • 96.
    Dika, Elona
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för medieteknik (ME).
    Kurti, Arianit
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). Interactive Institute Swedish ICT .
    Use of a Smart TV as a Platform for Social Engagement for Senior Citizens2015Ingår i: 7th ICT innovations Conference 2015: Web proceedings / [ed] Suzana Loshkovska, Saso Koceski, Skopje, Macedonia: Association for Information and Communication Technologies , 2015, s. 96-105Konferensbidrag (Refereegranskat)
    Abstract [en]

    The number of studies investigating computer use or other technologies used by senior citizens has progressively increased in the last twenty years. The interest stems from a diverse range of research disciplines including human computer interaction, education, and many others. Senior citizens generally have a positive attitude towards technology, and they are willing to use the product if they need it. Positive attitudes are also more likely to be expressed towards devices used every day at home, such as the television, microwave etc. Even if those devices are now typically digital, senior citizens are familiar and comfortable with them. These characteristics drive us to offer a solution by rethinking the use of some existing technologies and making them more affordable and accessible to older people. It is offered on a TV, something that senior citizens are familiar and comfortable with and which most of them have it at home. On this research we report our experience on developing a prototype service using smart TV application specifically tailored for the senior citizens needs and requirements. Based on the findings, we can conclude that there was great acceptance from senior citizens for the support of daily living and the ability to control their daily activities provided by this service.

  • 97.
    Dressler, Danny
    et al.
    AIMO AB, Sweden.
    Liapota, Pavlo
    Softwerk AB, Sweden.
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Data Driven Human Movement Assessment2019Ingår i: Intelligent Decision Technologies 2019: Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Volume 2 / [ed] Ireneusz Czarnowski; Robert Howlett; Lakhmi C. Jain, Springer, 2019, s. 317-327Konferensbidrag (Refereegranskat)
    Abstract [en]

    Quality assessment of human movements has many of applications in diagnosis and therapy of musculoskeletal insufficiencies and high performance sport. We suggest five purely data driven assessment methods for arbitrary human movements using inexpensive 3D sensor technology. We evaluate their accuracy by comparing them against a validated digitalization of a standardized human-expert-based assessment method for deep squats. We suggest the data driven method that shows high agreement with this baseline method, requires little expertise in the human movement and no expertise in the assessment method itself. It allows for an effective and efficient, automatic and quantitative assessment of  arbitrary human movements.

  • 98.
    Dressler, Danny
    et al.
    AIMO AB, Sweden.
    Liapota, Pavlo
    Softwerk AB, Sweden.
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Towards an automated assessment of musculoskeletal insufficiencies2019Ingår i: Intelligent Decision Technologies 2019: Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Volume 1 / [ed] Ireneusz Czarnowski; Robert Howlett; Lakhmi C. Jain, Springer, 2019, s. 251-261Konferensbidrag (Refereegranskat)
    Abstract [en]

    The paper suggests a quantitative assessment of human movements using inexpensive 3D sensor technology and evaluates its accuracy by comparing it with human expert assessments. The two assessment methods show a high agreement. To achieve this, a novel sequence alignment algorithm was developed that works for arbitrary time series.

  • 99.
    Egel, Jill
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Internet of Things and its Business Models 2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    The Internet of Things (IoT) is the next phase in the evolution of the internet, where everyday objects are connected to the internet, and obtain the capacity to communicate with other devices and sense their environment. Especially the IIoT is one of the most talked about industrial business concepts since the recent years, companies try to focus on business models and operational efficiency. That is why this thesis focuses on researching the industrial Internet of Things (IIoT). There is already a lot of information about the common Internet of Things but still a gap in research in the business perspective, especially surrounding the concept of business models for the IIoT. The goal of this project is to investigate different kinds of business models, how they work and how feasible they are. The need to research possible business models for an IIoT framework, as traditional business models are relevant for this study, such as the Business Model Canvas which has been proposed by Alexander Osterwalder or the Business Model Navigator by Oliver Gassmann. But there is still a lack of literature covering the business models for the IIoT. Therefore, after researching the concept of IIoT from a business perspective, I identified some useful criteria and suitable business models. With a qualitative literature study, I was able to develop an IIoT business model framework, based on the dynamics and complexity of the IIoT concept, which incorporates business strategies and provides companies with a flexible approach. The business model framework can be used in any business which is working in the industrial context. To demonstrate how the business model framework works for the IIoT, I clarified how suitable business models can improve the current business model of the very prominent and successful company Tesla. The results show how the framework of IIoT business models can be used to increase profit and work efficiently as a company. The models can also be formed to only highlight single components of an already existing business model, as it offers great flexibility, which is highly valuable in the fast evolving and innovative IIoT phenomenon.

  • 100.
    Ekneling, Sanna
    et al.
    Stockholm University, Sweden.
    Sonestedt, Tilian
    Stockholm University, Sweden.
    Georgiadis, Abraham
    Manomotion AB, Sweden.
    Yousefi, Shahrouz
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Chana, Julio
    Manomotion AB, Sweden.
    Magestro: Gamification of the Data Collection Process for Development of the Hand Gesture Recognition Technology2018Ingår i: Adjunct Proceedings of the 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), IEEE, 2018, s. 417-418Konferensbidrag (Refereegranskat)
    Abstract [en]

    The work presented in this demo, explores the enhancement of the data collection and data annotation processes via gamilication. For the use case of Hand Tracking (HT) and Gesture Recognition (GR) we have created an Augmented Reality (AR) and Virtual Reality (VR) application that implements both the collection and annotation task. Similar to other popular "Simon Says" games such as Guitar hero, the game versions of the app were easily understood and used by users. Based on previous results, the game versions were widely adopted by the users because of their novelty and entertainment value.

1234567 51 - 100 av 462
RefereraExporteraLänk till träfflistan
Permanent länk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf