lnu.sePublikationer
Ändra sökning
Avgränsa sökresultatet
2345678 201 - 250 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.
  • 201.
    Kerren, Andreas
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Cernea, Daniel
    AGT International, Germany.
    Pohl, Margit
    Technical University of Vienna, Austria.
    Workshop on Emotion and Visualization: EmoVis 20162016Ingår i: Companion Publication of the 21st International Conference on Intelligent User Interfaces, New York, NY, USA: ACM Publications, 2016, s. 1-2Konferensbidrag (Övrigt vetenskapligt)
  • 202.
    Kerren, Andreas
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Hurter, ChristopheFrench Civil Aviation University (ENAC), France.Braz, JoséEscola Superior de Tecnologia de Setúbal, Portugal.
    Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, Prague, Czech Republic, February 25-27, 2019: Volume 3: IVAPP2019Proceedings (redaktörskap) (Refereegranskat)
    Abstract [en]

    This book contains the proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) which was organized and sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), in cooperation with ACM SIGCHI, ACM SIGGRAPH, AFIG, Eurographics and UXPA International.

    The proceedings here published demonstrate new and innovative solutions and highlight technical problems in each field that are challenging and worthwhile being disseminated to the interested research audiences.

    VISIGRAPP 2019 was organized to promote a discussion forum about the conference’s research topics be- tween researchers, developers, manufacturers and end-users, and to establish guidelines in the development of more advanced solutions.

    We received a high number of paper submissions for this edition of VISIGRAPP, 396 in total, with contribu- tions from all five continents. This attests to the success and global dimension of VISIGRAPP. To evaluate each submission, we used a double-blind evaluation method where each paper was reviewed by two to six experts from the International Program Committee (IPC).

    The IPC selected for oral presentation and for publication as full papers 12 papers from GRAPP, 6 for HUCAPP, 12 papers for IVAPP, and 36 papers for VISAPP, which led to a result for the full-paper accep- tance ratio of 17% and a high-quality program. Apart from the above full papers, the conference program also features 88 short papers and 115 poster presentations. We hope that these conference proceedings, which are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index, SCOPUS, DBLP, Semantic Scholar, Google Scholar and EI, will help the Computer Vision, Imaging, Visualization and Computer Graphics communities to find interesting research work. Moreover, we are proud to inform that the program also includes four plenary keynote lectures, given by internationally distinguished researchers, namely Daniel McDuff (Microsoft, United States), Diego Gutierrez (Universidad de Zaragoza, Spain), Jiri Matas (Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic) and Dima Damen (University of Bristol, United Kingdom), thus contributing to increase the overall quality of the con- ference and to provide a deeper understanding of the conference’s interest fields.

    Furthermore, a short list of the presented papers will be selected to be expanded into a forthcoming book of VISIGRAPP Selected Papers to be published by Springer during 2019 in the CCIS series. Also, a short list of presented papers will be selected for publication of extended and revised versions in a special issue of the Open Access Information Science Journal (IVAPP) and in a special issue of the Pattern Recognition and Artificial Intelligence Journal (VISAPP). All papers presented at this conference will be available at the SCITEPRESS Digital Library. Three awards are delivered at the closing session, to recognize the best conference paper, the best student paper and the best poster for each of the four conferences.

    We would like to express our thanks, first of all, to the authors of the technical papers, whose work and dedication made possible to put together a program that we believe to be very exciting and of high technical quality. Next, we would like to thank the Area Chairs, all the members of the program committee and auxiliary reviewers, who helped us with their expertise and time. We would also like to thank the invited speakers for their invaluable contribution and for sharing their vision in their talks. Special thanks should be addressed to the INSTICC Steering Committee whose invaluable work made this event possible.

    We wish you all an exciting conference and an unforgettable stay in Prague, Czech Republic. We hope to meet you again for the next edition of VISIGRAPP, details of which are available at http://www.visigrapp.org.

  • 203.
    Kerren, Andreas
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Klein, KarstenKonstanz University, Germany.Li, Yi-NaUniversity of Science and Technology of China.
    Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18): Växjö, Sweden, August 13-15, 20182018Proceedings (redaktörskap) (Refereegranskat)
    Abstract [en]

    Welcome to the 11th International Symposium on Visual Information Communication and Interaction (VINCI 2018) held in Växjö, Sweden from August 13th to 15th, 2018. The objective of this symposium series is to provide a forum for researchers, artists, designers and industrial practitioners to discuss the state of the art in visual communication theories, designs and applications. As in past years, the papers in these proceedings represent the most interesting and exciting recent research in the area of visual communication.

  • 204.
    Kerren, Andreas
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Kucher, Kostiantyn
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Li, Yuan-Fang
    Monash University, Australia.
    Schreiber, Falk
    University of Konstanz, Germany ; Monash University, Australia.
    BioVis Explorer: A visual guide for biological data visualization techniques2017Ingår i: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 12, nr 11, artikel-id e0187341Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Data visualization is of increasing importance in the Biosciences. During the past 15 years, a great number of novel methods and tools for the visualization of biological data have been developed and published in various journals and conference proceedings. As a consequence, keeping an overview of state-of-the-art visualization research has become increasingly challenging for both biology researchers and visualization researchers. To address this challenge, we have reviewed visualization research especially performed for the Biosciences and created an interactive web-based visualization tool, the BioVis Explorer. BioVis Explorer allows the exploration of published visualization methods in interactive and intuitive ways, including faceted browsing and associations with related methods. The tool is publicly available online and has been designed as community-based system which allows users to add their works easily.

  • 205.
    Khakpour, Narges
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Control of Self-adaptation Under Partial Observation: A Modular Approach2017Ingår i: Software Architecture: 11th European Conference, ECSA 2017, Canterbury, UK, September 11-15, 2017, Proceedings / [ed] Antónia Lopes & Rogério de Lemos, Springer, 2017, Vol. 10475, s. 112-119Konferensbidrag (Refereegranskat)
    Abstract [en]

    To realize correct adaptive and reconfigurable systems, we need techniques to assure that the behavior of an adaptive system during dynamic adaptation is correct. In this paper, we propose a modular approach to synthesize a symbolic reconfiguration controller that guides the behavior of a system during adaptation under partial observations. The reconfiguration controller observes the system behavior partially during an adaptation and controls it by allowing/disallowing actions in a way to ensure that a given property is satisfied and a deadlock is avoided.

  • 206.
    Khakpour, Narges
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). Leiden University, The Netherlands.
    Arbab, Farhad
    Leiden University, The Netherlands.
    Rutten, Eric
    INRIA, France.
    Supervisory Controller Synthesis for Safe Software Adaptation2014Ingår i: 12th IFAC International Workshop on Discrete Event Systems (2014) / [ed] Jean-Jacques Lesage, Jean-Marc Faure, Jose E. R. Cury, Bengt Lennartson, International Federation of Automatic Control , 2014, Vol. 47, Iss 2, s. 39-45Konferensbidrag (Refereegranskat)
    Abstract [en]

    Today's software systems need to adapt their behavior due to the changes in their operational environments and user requirements. To this end, an adaptive software performs a sequence of adaptations at runtime. Correctness of the behavior of an adaptive software system during dynamic adaptation is an important challenge along the way to realize correct adaptive systems. In this research, we model adaptation as a supervisory control problem and synthesize a controller that guides the behavior of a software system during adaptation. The system during adaptation is modeled using a graph transition system and properties to be enforced are specified using an automaton. To ensure correctness, we then synthesize a controller that imposes constraints on the system during adaptation.

  • 207.
    Khakpour, Narges
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Skandylas, Charilaos
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Synthesis of a Permissive Security Monitor2018Ingår i: Computer Security - 23rd European Symposium on Research in Computer Security, ESORICS 2018, Barcelona, Spain, September 3-7, 2018, Proceedings, Part I / [ed] Lopez, J; Zhou, J; Soriano, M, Springer, 2018, Vol. 11098, s. 48-65Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we propose a new sound method to synthesize a permissive monitor using boolean supervisory controller synthesis that observes a Java program at certain checkpoints, predicts information flow violations and applies suitable countermeasures to prevent violations. To improve the permissiveness, we train the monitor and remove false positives by executing the program along with its executable model. If a security violation is detected, the user can define sound countermeasures, including declassification to apply in the checkpoints. We implement a tool that automates the whole process and generates a monitor. We evaluate our method by applying it on the Droidbench benchmark and one real-life Android application.

  • 208.
    Khalili, Ali
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Security in Mobile Ad-Hoc Networks2014Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

                                           

    Abstract

    The number of wireless networks has been growing incessantly during the recent years. Ad hoc networks transmit digital data through radio frequency or wireless communications links, which is an open medium. According to this fact it is important to gain substantial knowledge about the advantages and the drawbacks associated with them for network security purposes. According to the vulnerability of these networks (wireless Ad hoc) to malicious attacks and hackers, there seems to be a necessity to address the potential risks of using these networks.

    An Ad-Hoc is a system of wireless mobile nodes that dynamically self-organize in temporary network topologies. People and vehicles can thus be internetworked in areas without a preexisting communication infrastructure or when the use of such infrastructure requires wireless extension.  

    Therefore, one should focus on a proper Security Standards as well as solid secure construction. There are a vast variety of malicious attacks against mobile Ad hoc networks. In order to distinguish these attacks some classifications (attack models) are presented. Different malicious techniques against communications of the network are discussed in order to introduce the best practice, to set-up and maintain a secure mobile Ad hoc network. In this paper a solid intrusion detection system for MANET presented along with the best solution for creates a trust relation among nodes. Information gathering (Passive attack) is discussed from an ethical point of view.

  • 209.
    Khan, Asghar
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Microservices in context: Internet of Things: Infrastructure and Architecture2017Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [en]

    The enterprise systems are built with a monolithic way of software architecture which may not be the very suitable and realistic solutions, due to the quantity and diversity of Internet of Things (IOT) devices connected to the internet. The large code is based as a single deployable unit; making it cumbersome and difficult to change, test, and deploy – typically in the monthly deployment cycles. Which could potentially be a large impact and high-risk for updates and deployment build up between releases. 

    The thesis aims to exploit Microservices Architecture in context of the Internet of Things. Because of scalability and rapid deployment, Microservices Architecture (MSA) naturally fits for M2M and IOT developments. Therefore, it has become increasingly popular and highly suited as a design choice in the context of developing IOT applications.

    We have proposed various ontologies for conceptual architecture designs. Our conceptual model encompasses all the essential elements and entities that constitute IOT; describing various characteristics of microservices and consideration to be used as a basis for developing a Reference Architecture model. The reference architecture is effectively exploiting Microservices Architectural Style for a diverse set of things composition like sensor devices, connectivity and transportation protocols for IP enabled IOT smart objects. 

    The thesis will contribute to the conceptual space of more successful reference architectures. The goal is to provide features and deployment information with instantiation guidelines to derive the software architecture instances in a given IOT application domain. Thus, it promises to become a valuable framework in the derivation of the Microservices IOT architectures.

  • 210.
    Kharboutli, Zacky
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    NoSQL Database Selection Focused on Performance Criteria for Web-driven Applications2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    This paper delivers a comparative analysis of the performance of three of the NoSQL technologies in Web applications. These technologies are graph stores, key-value stores, and document stores. The study aims to assist developers and organizationsin picking the suitable NoSQL solution for their application. For this purpose, three identical e-book applications were developed. Each of these is connected to adatabase from the selected technologies to examine how they perform compared toeach other against various performance measures.

  • 211.
    Kirchner, Jens
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). Karlsruhe Univ Appl Sci, Germany.
    Heberle, Andreas
    Karlsruhe Univ Appl Sci, Germany.
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Evaluation of the Employment of Machine Learning Approaches and Strategies for Service Recommendation2015Ingår i: SERVICE ORIENTED AND CLOUD COMPUTING, ESOCC 2015, Springer, 2015, s. 95-109Konferensbidrag (Refereegranskat)
    Abstract [en]

    Service functionality can be provided by more than one service consumer. In order to choose the service with the highest benefit, a selection based on previously measured experiences by other consumers is beneficial. In this paper, we present the results of our evaluation of two machine learning approaches in combination with several learning strategies to predict the best service within this selection problem. The first approach focuses on the prediction of the best-performing service, while the second approach focuses on the prediction of service performances which can then be used for the determination of the best-performing service. We assessed both approaches w.r.t. the overall optimization achievement relative to the worst-and the best-performing service. Our evaluation is based on data measured on real Web services as well as on simulated data. The latter is needed for a more profound analysis of the strengths and weaknesses of each approach and learning strategy when it gets harder to distinguish the performance profile of the service candidates. The simulated data focuses on different aspects of a service performance profile. For the real-world measurement data, 97% overall optimization achievement and over 82% best service selection could be achieved within the evaluation.

  • 212.
    Kohen-Vacs, Dan
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). HIT.
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Holon Institute of Technology, Israel.
    Computational Thinking Education for In-Service Elementary Swedish Teachers: Their Perceptions and Implications for Competence Development2019Ingår i: CoolThink@JC: Proceedings of International Conference onComputational Thinking Education 201913-15 June 2019 / [ed] Kong, S.C., Andone, D., Biswas, G., Hoppe, H.U., Hsu, T.C., Huang, R.H., Kuo, B.C., Li, K.Y., Looi, C.K., Milrad, M., Sheldon, J., Shih, J.L., Sin, K.F., Song, K.S., & Vahrenhold, J. (Eds.), Hong-Kong: The Education University of Hong Kong , 2019, s. 109-112Konferensbidrag (Refereegranskat)
    Abstract [en]

    Many countries and governments have laid down a national strategy for digitalization in schools with the intent to strengthen both pupils' and teachers’ digital competences. Computational Thinking (CT) can be regarded as a central ingredient of teaching and learning in the XXI century and should be part of these competences. The Swedish government has recently launched a national strategy for digitalization in schools stating that CT and programming should be integrated in many school subjects. Thus, one particular challenge that needs to be addressed is the one related to teachers' competencies and skills related to programming. Since 2016, The National Agency of Education has been working together with several Swedish universities on developing academic courses in the field of CT and programming for in-service teachers. One challenge we are exploring in this paper is the one related to teachers' perceptions and competencies related to programming. As part of our on-going efforts in the course “Introduction to Programming for Elementary Teachers” offered to in-service teachers we have analyzed data we collected representing teachers´ perceptions on CT and programming before the start of the course. We applied sentiment mining and word counting on 127 texts generated by the teachers. We examine their perceptions and cluster them accordingly in order to understand how teachers perceived different aspects related to CT education. By doing so, we lay down the foundations on how to tailor competence development efforts in this field so that they fit teachers´ need. We expect these efforts will lead to the development of a model enabling to identify teachers´ current perceptions in order to plan future actions that can increase their Technological Pedagogical Content Knowledge.

  • 213.
    Kohen-Vacs, Dan
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Holon Institute of Technology, Israel.
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Jansen, Marc
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). University of Applied Sciences Ruhr West, Germany.
    Towards an architectural approach to supporting collaborative seamless learning experiences2019Ingår i: Seamless Learning / [ed] Chee-Kit LooiLung-Hsiang WongChristian GlahnSu Cai, Springer, 2019, s. 91-110Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    In recent years, educational practitioners and learning technologists have been designing, developing and deploying a wide range of innovative environments to enhance meaningful, seamless and exciting learning experiences. In these learning environments, students may interact as individuals or in groups across several learning spaces, while utilizing various technologies that support different contexts of use. However, despite these efforts and progress in this field, there are still a number of technical challenges associated with software architecture issues related to how to implement tools that support seamless learning. In this chapter, we describe our ongoing research related to the design, development and deployment of different software solutions to support seamless learning activities across a variety of settings. Here, we examine and propose a candidate software architecture that is inspired by our implementation of seamless learning activities. In particular, we direct our efforts towards enhancing and facilitating these activities by supporting the reuse and remixing of digital content generated by learners and teachers. The features of the proposed architecture also support the reusability and interoperability of software components and micro-services for different interactions. We address architectural challenges identified in activities we have carried out during the last five years. Three different use cases of seamless learning activities in different subject areas are analysed and the supporting technical and software solutions examined, in order to identify and extract the salient features and functional requirements of the proposed architecture. In addition, we use these cases to examine, analyse and propose new and refined ways to cope with challenges related to the activities that need to be implemented for seamless learning flow. We present and discuss our results describing an architecture capable of supporting meaningful, appealing and seamless learning experiences that are independent of subject matter, context of use and supporting technological solutions. © 2019, Springer Nature Singapore Pte Ltd.

  • 214.
    Kohen-Vacs, Dan
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Holon Inst Technol, Israel.
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Spiegel C, Alejandro
    UTN, Argentina.
    Learner Centered Requirements for Enhancing an Existing Software Architecture to Support Learning Using On-line Videos2018Ingår i: 26TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE 2018) / [ed] Yang, JC Chang, M Wong, LH Rodrigo, MMT, Asia-Pacific Society for Computers in Education, 2018, s. 316-321Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we describe our ongoing research focused on identifying requirements for designing, developing and deploying an environment capable to enhance educational activities relying on videos contributed by students. We present a joint effort conducted by researchers from three countries bringing their results from previous efforts focused on the interplay between learning and technology for optimizing the pedagogical exploitation of online videos. In order to reach these goals, we use data collected from 204 students where they shared their experiences and insights based on their experiences while using videos for their own learning. The presented research illustrates the transformation of these students' insights into actual system requirements. These requirements are collected and examined in order to be used for the design, development, evaluation and refinement of an existing system while aiming to deploy a mature environment enabling an optimized experience of on-line videos in. educational settings. Last but not least, we discuss the benefits of our approach in the light of benefits and future challenges to incorporate videos in educational activities supported by a software architecture that relies on web technologies. Finally, we summarize and discuss our efforts in the light of future research while aiming to practice future deployment of such architecture. In these future iterations, we discuss new stakeholders possibly assisting in identifying new requirements and contributing with innovative ideas for best optimization of videos supported by TEL environments offering meaningful and appealing learning.

  • 215.
    Kokkonis, George
    et al.
    Western Macedonia University of Applied Sciences, Greece.
    Chatzimparmpas, Angelos
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kontogiannis, Sotirios
    University of Ioannina, Greece.
    Middleware IoT protocols performance evaluation for carrying out clustered data2018Ingår i: 2018 South-Eastern European Design Automation, Computer Engineering, Computer Networks and Society Media Conference (SEEDA_CECNSM), IEEE, 2018Konferensbidrag (Refereegranskat)
    Abstract [en]

    Several IoT middleware protocols have been proposed for the wireless IoT data transfer. The main representatives are the Constrained Application Protocol(CoAP), the Simple Object Access Protocol (SOAP), the message queuing Telemetry Transport (MQTT) and the HypertextTransfer Protocol (HTTP). Protocols deployment constraints are the message delay, message loss, processing effort and power consumption that IoT devices demand, in order to successfully transfer wireless data. In exchange for the reduction of device energy consumption, many of these IoT protocols try to lower the data throughput, minimize security, or even limit coverage. In this paper authors compare the performance of IoT application protocols using Machine to Machine (M2M) delay scenarios measuring the extra effort that they enforce to the transmitted data. Experimentation results reveal which protocol is best suited for different network and application scenarios accordingly.

  • 216.
    Kong, Siu Cheung
    et al.
    The Hong Kong Institute of Education, Peoples Republic of China.
    Chan, Tak-Wai
    National Central University, Taiwan.
    Griffin, Patrick
    University of Melbourne, Australia.
    Hoppe, Ulrich
    University Duisburg-Essen, Germany.
    Huang, Ronghuai
    Beijing Normal University, Peoples Republic of China.
    Kinshuk,
    Athabasca University, Canada.
    Looi, Chee Kit
    Nanyang Technological University, Singapore.
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Norris, Cathleen
    University of North Texas, USA.
    Nussbaum, Miguel
    Universidad Catolica de Chile, Chile.
    Sharples, Mike
    So, Wing Mui Winnie
    Hong Kong Inst Educ, Peoples Republic of China.
    Soloway, Elliot
    Univ Michigan, USA.
    Yu, Shengquan
    Beijing Normal Univ, Peoples Republic of China.
    E-learning in School Education in the Coming 10 Years for Developing 21st Century Skills: Critical Research Issues and Policy Implications2014Ingår i: Educational Technology & Society, ISSN 1176-3647, E-ISSN 1436-4522, Vol. 17, nr 1, s. 70-78Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    One of the curriculum goals of e-learning in school education is to develop learners for 21st century skills through their daily learning activities. This paper aims to discuss the research issues and policy implications critical for achieving such a curriculum goal. A review of literature in the related fields indicates that K-12 schools should take advantage of e-learning to maximize learning opportunities of learners for the development of 21st century skills. We identify six research issues critical for e-learning in school education, namely the realization of developing 21st century skills of learners; the bridging of the gap between curriculum in school and situations in society; the maximization of learning opportunities in the learning process; the collection of evidence of improvement and building awareness of progress; the assessment of 21st century skills; and the provision of teacher development for enculturating learners to develop 21st century skills. We recommend the relevant stakeholders across different countries/regions to consider policies on the goal-setting of curriculum addressing 21st century skills development and bridging gap between school and society; on the availability of digital technology for school education; on the privacy/legal issues of learning data in e-learning process; and on the teacher development for pre-service and in-service teachers.

  • 217.
    Kong, Siu Cheung
    et al.
    Educ Univ Hong Kong, Peoples Republic of China.
    Looi, Chee Kit
    Nanyang Technol Univ, Singapore.
    Grover, Shuchi
    Edfinity, Singapore.
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Hoppe, Ulrich
    Univ Duisburg Essen, Germany.
    Biswas, Gautam
    Vanderbilt Univ, USA.
    An International Forum on Computational Thinking Education in K-122018Ingår i: 26TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE 2018) / [ed] Yang, JC Chang, M Wong, LH Rodrigo, MMT, Asia-Pacific Society for Computers in Education, 2018, s. I49-I49Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this panel, there will be presentations by panelists from different countries/regions on their experience in practicing and promoting computational thinking education (CTE) in their own countries/regions. The aim of the international forum is to share the insightful experience and good practices, as well as spell out the worth-noting challenges encountered during the implementation of CTE in K-12. According to the experience of the project CoolThink@JC in Hong Kong, there are lessons learned in the aspects of curriculum development, teacher development, teaching assistant development, school leadership, and parental education. A national/regional strategy is genuinely needed for addressing these aspects in the promotion and implementation of a promising CTE in K12. This panel will serve as an international forum for a discussion about national/regional policies on CTE in K-12, with the major concerns on an actionable curriculum in programming education, a short-/long-term teacher development plan, a sustainable parent education campaign, and a social consensus from the whole nation/region with determination to promote CTE for nurturing the competitiveness of next generation.

  • 218.
    Kopetschny, Chris
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Towards Technical Value Analysis of Software2018Självständigt arbete på avancerad nivå (magisterexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    If a company is to be acquired that is mainly based on a self-developed software system, as many tech companies today, the value of this software is a fundamental asset and therefore necessarily part of a due diligence process. It is assumed that the value corresponds to the effort a potential competitor would have, to develop the same software with the same functions. In software engineering, estimation models are frequently used to determine expected but yet unknown properties of software development processes or the developed systems, such as costs, times, number of developers, efforts, sizes, and complexities. The existing models have one or more problems: They are incomplete, incompatible or outdated. It is hard to compare and improve them as software technologies evolve quickly.

    In this thesis an approach is developed with which models for mapping indicators of an outcome to the actual outcome can be easily trained and tested. While it has been developed for mapping indicators of software development costs and time to the actual costs and time, the approach is generally applicable to similar problems in other domains. Models should be developed by domain experts, not modelling experts, to provide domain understanding with the help of these models. As a result, the approach should be automated. Therefore, after training the models by optimization, predictions for unknown data points are calculated using the model. Models will be imprecise when trained at only few data points, hence, the approach is iterative allowing it to converge towards more and more precise models. In this thesis, an approach is developed with which indicators for mapping an estimated result to an actual result can be easily trained and tested.

  • 219.
    Kopetschny, Chris
    et al.
    Dezember IT GmbH, Germany .
    Ericsson, Morgan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Wingkvist, Anna
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Optimization of Software Estimation Models2019Ingår i: Proceedings of the 14th International Conference on Software Technologies - Volume 1, SciTePress, 2019, s. 141-150Konferensbidrag (Refereegranskat)
    Abstract [en]

    In software engineering, estimations are frequently used to determine expected but yet unknown properties of software development processes or the developed systems, such as costs, time, number of developers, efforts, sizes, and complexities. Plenty of estimation models exist, but it is hard to compare and improve them as software technologies evolve quickly. We suggest an approach to estimation model design and automated optimization allowing for model comparison and improvement based on commonly collected data points. This way, the approach simplifies model optimization and selection. It contributes to a convergence of existing estimation models to meet contemporary software technology practices and provide a possibility for selecting the most appropriate ones.

  • 220.
    Kravchenko, Maxim
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Evaluation of Security of ServiceWorker and Related APIs2018Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    The Service Worker is a programmable proxy that allows the clients to keep offline parts of websites or even the whole domains, receive push notifications, have back-ground synchronization and other features. All of these features are available to the user without having to install an application - the user only visits a website. The service worker has gained popularity due to being a key component in the Progressive Web Applications (PWAs). PWAs have already proven to drastically increase the number of visits and the duration of browsing for websites such as Forbes [1], Twitter [2], and many others. The Service Worker is a powerful tool, yet it is hard for clients to understand the security implications of it. Therefore, all modern browser install the service workers without asking the client. While this offers many conveniences to the user, this powerful technology introduces new security risks. This thesis takes a closer look at the structure of the service worker and focuses on the vulnerabilities of its components. After the literature analysis and some testing using the demonstrator developed during this project, the vulnerabilities of the service worker components are classified and presented in the form of the vulnerability matrix; the mitigations to the vulnerabilities are then outlined, and the two are summarized in the form of security guidelines.

  • 221.
    Kriukov, Illia
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Multi-version software quality analysis through mining software repositories2018Självständigt arbete på avancerad nivå (magisterexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    The main objective of this thesis is to identify how the software repository features influence software quality during software evolution. To do that the mining software repository area was used. This field analyzes the rich data from software repositories to extract interesting and actionable information about software systems, projects and software engineering. The ability to measure code quality and analyze the impact of software repository features on software quality allows us to better understand project history, project quality state, development processes and conduct future project analysis. Existing work in the area of software quality describes software quality analysis without a connection to the software repository features. Thus they lose important information that can be used for preventing bugs, decision-making and optimizing development processes. To conduct the analysis specific tool was developed, which cover quality measurement and repository features extraction. During the research general procedure of the software quality analysis was defined, described and applied in practice. It was found that there is no most influential repository feature and the correlation between software quality and software repository features exist, but it is too small to make a real influence.

  • 222.
    Kronstål, Tommy
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Wällstedt, Fredrik
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Modern web technologies: Performance and functionality while running Node.js on the Axis Communications Platform2018Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    A new high-level language is sought after for implementing and mocking functional-ity on the Axis Communications platform. We analyze what impact the Node.js run-time environment has regarding performance and its ability to perform functionality.The performance refers to metrics on CPU, memory, free disk space and responsetimes and what effect an added Node.js runtime has on the platform. The functional-ity is based on Axis’ ideas about having Node.js run high-level services. A test planvalidates the functionality of a JavaScript service implemented as an API with JSONobjects as a POST and GET methods. To test the performance a test suite that sam-ples the data on a device and saves it like log files on a client. The variable is threedifferent stages, where the current device serves as the baseline. Secondly, to findout what impact Node.js itself has the second stage is with Node.js present and thethird stage represents a device where Node.js and the JavaScript service is put underload. The results show that it is possible to implement a JavaScript service runningunder Node.js since the test plan with its assertions passed on all tests. Regardingperformance and response time we did see a decrease in CPU idle time and memoryand an increase in the response time compared to the baseline.

  • 223.
    Kruiger, Johannes F.
    et al.
    University of Groningen, Netherlands.
    Rauber, Paulo E.
    University of Groningen, Netherlands.
    Martins, Rafael Messias
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Kobourov, Stephen
    The University of Arizona, USA.
    Telea, Alexandru C.
    University of Groningen, Netherlands.
    Graph Layouts by t-SNE2017Ingår i: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 36, nr 3, s. 283-294Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    We propose a new graph layout method based on a modification of the t-distributed Stochastic Neighbor Embedding (t-SNE) dimensionality reduction technique. Although t-SNE is one of the best techniques for visualizing high-dimensional data as 2D scatterplots, t-SNE has not been used in the context of classical graph layout. We propose a new graph layout method, tsNET, based on representing a graph with a distance matrix, which together with a modified t-SNE cost function results in desirable layouts. We evaluate our method by a formal comparison with state-of-the-art methods, both visually and via established quality metrics on a comprehensive benchmark, containing real-world and synthetic graphs. As evidenced by the quality metrics and visual inspection, tsNET produces excellent layouts.

  • 224.
    Kucher, Kostiantyn
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Sentiment and Stance Visualization of Textual Data for Social Media2019Doktorsavhandling, monografi (Övrigt vetenskapligt)
    Abstract [en]

    Rapid progress in digital technologies has transformed the world in many ways during the past few decades, in particular, with the new means of communication such as social media. Social media platforms typically rely on textual data produced or shared by the users in multiple timestamped posts. Analyses of such data are challenging for traditional manual methods that are unable to scale up to the volume and the variety of the data. While computational methods can partially address these challenges, they have to be used together with the methods developed within information visualization and visual analytics to gain knowledge from the text data by using interactive visual representations.

    One of the most interesting aspects of text data is related to expressions of sentiments and opinions. The corresponding task of sentiment analysis has been studied within computational linguistics, and sentiment visualization techniques exist as well. However, there are gaps in research on the related task of stance analysis, dedicated to subjectivity that is not expressible only in terms of sentiment. Research on stance is an area of interest in linguistics, but support by computational and visual methods has been limited so far. The challenges related to definition, analysis, and visualization of stance in textual data call for an interdisciplinary research effort. The StaViCTA project addressed these challenges with a focus on written text in English. The corresponding results in the area of visualization are reported in this work, based on multiple publications.

    The main goal of this dissertation is to define, categorize, and implement means for visual analysis of sentiment and stance in textual data, in particular, for social media. Our work is based on the theoretical framework and automatic classifier of stance developed by our project collaborators, involving multiple non-exclusive stance categories such as certainty and prediction. We define a design space for sentiment and stance visualization techniques based on literature surveys. We discuss multiple visualization and visual analytics approaches developed by us to facilitate the underlying research on stance analysis, data collection and annotation, and visual analysis of sentiment and stance in real-world text data from several social media sources. The work described in this dissertation was carried out in cooperation with domain experts in linguistics and computational linguistics, and our approaches were validated with case studies, expert user reviews, and critical discussion. The results of this work open up further opportunities for research in text visualization and visual text analytics. The potential application areas are academic research, business intelligence, social media monitoring, and journalism.

  • 225.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Text Visualization Browser: A Visual Survey of Text Visualization Techniques2014Ingår i: Poster Abstracts of IEEE VIS 2014, 2014Konferensbidrag (Refereegranskat)
    Abstract [en]

    Text visualization has become a growing and increasingly important subfield of information visualization. Thus, it is getting harder for researchers to look for related work with specific tasks or visual metaphors in mind. In this poster, we present an interactive visual survey of text visualization techniques that can be used for the purposes of search for related work, introduction to the subfield and gaining insight into research trends. 

  • 226.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Text Visualization Revisited: The State of the Field in 20192019Ingår i: Posters of the 21th EG/VGTC Conference on Visualization (EuroVis '19) / [ed] João M. Pereira and Renata G. Raidou, Eurographics - European Association for Computer Graphics, 2019, s. 29-31Konferensbidrag (Refereegranskat)
    Abstract [en]

    Text and document data visualization is an important research field within information visualization and visual analytics with multiple application domains including digital humanities and social media, for instance. During the past five years, we have been collecting text visualization techniques described in peer-reviewed literature, categorizing them according to a detailed categorization schema, and providing the resulting manually curated collection in an online survey browser. In this poster paper, we present the updated results of analyses of this data set as of spring 2019. Compared to the recent surveys and meta-analyses that mainly focus on particular aspects and problems related to text visualization, our results provide an overview of the current state of the text visualization field and the respective research community in general.

  • 227.
    Kucher, Kostiantyn
    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).
    Analysis of VINCI 2009–2017 Proceedings2018Ingår i: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden / [ed] Karsten Klein, Yi-Na Li, and Andreas Kerren, Association for Computing Machinery (ACM), 2018, s. 97-101Konferensbidrag (Refereegranskat)
    Abstract [en]

    Both the metadata and the textual contents of scientific publications can provide us with insights about the development and the current state of the corresponding scientific community. In this short paper, we take a look at the proceedings of VINCI from the previous years and conduct several types of analyses. We summarize the yearly statistics about different types of publications, identify the overall authorship statistics and the most prominent contributors, and analyze the current community structure with a co-authorship network. We also apply topic modeling to identify the most prominent topics discussed in the publications. We hope that the results of our work will provide insights for the visualization community and will also be used as an overview for researchers previously unfamiliar with VINCI.

  • 228.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Paradis, Carita
    Lund University.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    DoSVis: Document Stance Visualization2018Ingår i: Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '18) / [ed] Alexandru C. Telea, Andreas Kerren, and José Braz, SciTePress, 2018, Vol. 3, s. 168-175Konferensbidrag (Refereegranskat)
    Abstract [en]

    Text visualization techniques often make use of automatic text classification methods. One of such methods is stance analysis, which is concerned with detecting various aspects of the writer’s attitude towards utterances expressed in the text. Existing text visualization approaches for stance classification results are usually adapted to textual data consisting of individual utterances or short messages, and they are often designed for social media or debate monitoring tasks. In this paper, we propose a visualization approach called DoSVis (Document Stance Visualization) that focuses instead on individual text documents of a larger length. DoSVis provides an overview of multiple stance categories detected by our classifier at the utterance level as well as a detailed text view annotated with classification results, thus supporting both distant and close reading tasks. We describe our approach by discussing several application scenarios involving business reports and works of literature. 

  • 229.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Paradis, Carita
    Lund University.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    The State of the Art in Sentiment Visualization2018Ingår i: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 37, nr 1, s. 71-96, artikel-id CGF13217Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Visualization of sentiments and opinions extracted from or annotated in texts has become a prominent topic of research over the last decade. From basic pie and bar charts used to illustrate customer reviews to extensive visual analytics systems involving novel representations, sentiment visualization techniques have evolved to deal with complex multidimensional data sets, including temporal, relational, and geospatial aspects. This contribution presents a survey of sentiment visualization techniques based on a detailed categorization. We describe the background of sentiment analysis, introduce a categorization for sentiment visualization techniques that includes 7 groups with 35 categories in total, and discuss 132 techniques from peer-reviewed publications together with an interactive web-based survey browser. Finally, we discuss insights and opportunities for further research in sentiment visualization. We expect this survey to be useful for visualization researchers whose interests include sentiment or other aspects of text data as well as researchers and practitioners from other disciplines in search of efficient visualization techniques applicable to their tasks and data. 

  • 230.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Paradis, Carita
    Lund University.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Visual Analysis of Sentiment and Stance in Social Media Texts2018Ingår i: EuroVis 2018 - Posters / [ed] Anna Puig and Renata Raidou, Eurographics - European Association for Computer Graphics, 2018, s. 49-51Konferensbidrag (Refereegranskat)
    Abstract [en]

    Despite the growing interest for visualization of sentiments and emotions in textual data, the task of detecting and visualizing various stances is not addressed well by the existing approaches. The challenges associated with this task include development of the underlying computational methods and visualization of the corresponding multi-label stance classification results. In this poster abstract, we describe the ongoing work on a visual analytics platform called StanceVis Prime, which is designed for analysis of sentiment and stance in temporal text data from various social media data sources. Our approach consumes documents from several text stream sources, applies sentiment and stance classification, and provides end users with both an overview of the resulting data series and a detailed view for close reading and examination of the classifiers’ output. The intended use case scenarios for StanceVis Prime include social media monitoring and research in sociolinguistics.

  • 231.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Paradis, Carita
    Lund University.
    Sahlgren, Magnus
    Swedish Research Institute (RISE SICS).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Active Learning and Visual Analytics for Stance Classification with ALVA2017Ingår i: ACM Transactions on Interactive Intelligent Systems (TiiS), ISSN 2160-6455, Vol. 7, nr 3, artikel-id 14Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The automatic detection and classification of stance (e.g., certainty or agreement) in text data using natural language processing and machine learning methods create an opportunity to gain insight into the speakers' attitudes towards their own and other people's utterances. However, identifying stance in text presents many challenges related to training data collection and classifier training. In order to facilitate the entire process of training a stance classifier, we propose a visual analytics approach, called ALVA, for text data annotation and visualization. ALVA's interplay with the stance classifier follows an active learning strategy in order to select suitable candidate utterances for manual annotation. Our approach supports annotation process management and provides the annotators with a clean user interface for labeling utterances with multiple stance categories. ALVA also contains a visualization method to help analysts of the annotation and training process gain a better understanding of the categories used by the annotators. The visualization uses a novel visual representation, called CatCombos, which groups individual annotation items by the combination of stance categories. Additionally, our system makes a visualization of a vector space model available that is itself based on utterances. ALVA is already being used by our domain experts in linguistics and computational linguistics in order to improve the understanding of stance phenomena and to build a stance classifier for applications such as social media monitoring.

  • 232.
    Kucher, Kostiantyn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Skeppstedt, Maria
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). University of Potsdam, Germany.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts2018Ingår i: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18) / [ed] Karsten Klein, Yi-Na Li, and Andreas Kerren, Association for Computing Machinery (ACM), 2018, s. 102-103Konferensbidrag (Refereegranskat)
    Abstract [en]

    The analysis of various opinions and arguments in textual data can be facilitated by automatic topic modeling methods; however, the exploration and interpretation of the resulting topics and terms may prove to be difficult to the analysts. Opinions, stances, arguments, topics, terms, and text documents are usually connected with many-to-many relationships for such tasks. Exploratory visual analysis with interactive tools can help the analysts to get an overview of the topics and opinions, identify particularly interesting documents, and describe main themes of various arguments. In our previous work, we introduced an interactive tool called Topics2Themes that was used for topic and theme analysis of vaccination-related discussion texts with a limited set of stance categories. In this poster paper, we describe an application of Topics2Themes to a different genre of data, namely, political comments from Reddit, and multiple sentiment and stance categories detected with automatic classifiers.

  • 233.
    Kurti, Arianit
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Dalipi, Fisnik
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). Linnaeus University.
    Bridging the Gap between Academia and Industry: Lessons Learned from a Graduate IT Professional Development Program2017Ingår i: Abstract Book: 2nd Annual International Conference on Engineering Education & Teaching, 5-8 June 2017, Athens, Greece / [ed] Gregory T. Papanikos, Athens, 2017, s. 27-27Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    The rapid advances of technologies, constantly brings new demands for new skills and expertise of the professionals in IT industry. There is a constant need for people that have in-depth understanding and know how to develop the new innovative services using these new technologies. In these settings, the real challenge is how to find the right persons with the right education in an industry where the in-thing yesterday may be out-of-date tomorrow? To add to this challenge, universities are still “increasingly stove-piped in highly specialized disciplinary fields” (Hurlburt et al., 2010) as well as there is a lack of flexibility for the professionals to have their competences developed. All this points out the great challenges that universities are facing for alignment between academic development within degree curricula and the requirements that industry demands for their specific needs (Falcone et al. 2014). In this research effort we report our experiences from an ongoing Graduate Professional Development Program where we address these challenges through a co-creation process with IT industry based on open innovation. Through this model we bring together research expertise, academic experience and experts from industry in a collaborative process for developing courses to suit the current needs of IT professionals. As an outcome of this process, the course content is tailor-made, as well as everything else in connection, such as: bite-size modules, adjustable pace, open and online educational resources, as well as a flipped classroom approach to teaching. As a result, we have developed and provided so far five courses that have been very well accepted by the IT professional. Thus, in this paper we aim to provide some insights on approaches for facilitating continuous competence development plans for IT professionals within regular university educational offer. 

  • 234.
    Kühne, Kay
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Interactive Multiscale Visualization of Large, Multi-dimensional Datasets2018Självständigt arbete på avancerad nivå (magisterexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    This thesis project set out to find and implement a comfortable way to explore vast, multidimensional datasets using interactive multiscale visualizations to combat the ever-growing information overload that the digitized world is generating. Starting at the realization that even for people not working in the fields of information visualization and data science the size of interesting datasets often outgrows the capabilities of standard spreadsheet applications such as Microsoft Excel. This project established requirements for a system to overcome this problem. In this thesis report, we describe existing solutions, related work, and in the end designs and implementation of a working tool for initial data exploration that utilizes novel multiscale visualizations to make complex coherences comprehensible and has proven successful in a practical evaluation with two case studies.

  • 235.
    Laitinen, Mikko
    et al.
    University of Eastern Finland, Finland.
    Lundberg, Jonas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Levin, Magnus
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Lakaw, Alexander
    University of Eastern Finland, Finland.
    Revisiting weak ties: Using present-day social media data in variationist studies2017Ingår i: Exploring Future Paths for Historical Sociolinguistics / [ed] Tanja Säily, Minna Palander-Collin, Arja Nurmi, Anita Auer, Amsterdam: John Benjamins Publishing Company, 2017, s. 303-325Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This article makes use of big and rich present-day data to revisit the social network model in sociolinguistics. This model predicts that mobile individuals with ties outside a home community and subsequent loose-knit networks tend to promote the diffusion of linguistic innovations. The model has been applied to a range of small ethnographic networks. We use a database of nearly 200,000 informants who send micro-blog messages in Twitter. We operationalize networks using two ratio variables; one of them is a truly weak tie and the other one a slightly stronger one. The results show that there is a straightforward increase of innovative behavior in the truly weak tie network, but the data indicate that innovations also spread under conditions of stronger networks, given that the network size is large enough. On the methodological level, our approach opens up new horizons in using big and often freely available data in sociolinguistics, both past and present.

  • 236.
    Laitinen, Mikko
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). Univ Eastern Finland, Finland.
    Lundberg, Jonas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Levin, Magnus
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Lakaw, Alexander
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Utilizing Multilingual Language Data in (Nearly) Real Time: The Case of the Nordic Tweet Stream2017Ingår i: Journal of universal computer science (Online), ISSN 0948-695X, E-ISSN 0948-6968, Vol. 23, nr 11, s. 1038-1056Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper presents the Nordic Tweet Stream, a cross-disciplinary digital humanities project that downloads Twitter messages from Denmark, Finland, Iceland, Norway and Sweden. The paper first introduces some of the technical aspects in creating a real-time monitor corpus that grows every day, and then two case studies illustrate how the corpus could be used as empirical evidence in studies focusing on the global spread of English. Our approach in the case studies is sociolinguistic, and we are interested in how widespread multilingualism which involves English is in the region, and what happens to ongoing grammatical change in digital environments. The results are based on 6.6 million tweets collected during the first four months of data streaming. They show that English was the most frequently used language, accounting for almost a third. This indicates that Nordic Twitter users choose English as a means of reaching wider audiences. The preference for English is the strongest in Denmark and the weakest in Finland. Tweeting mostly occurs late in the evening, and high-profile media events such as the Eurovision Song Contest produce considerable peaks in Twitter activity. The prevalent use of informal features such as univerbated verb forms (e.g., gotta for (HAVE) got to) supports previous findings of the speech-like nature of written Twitter data, but the results indicate that tweeters are pushing the limits even further.

  • 237. Laitinen, Mikko
    et al.
    Lundberg, Jonas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Levin, Magnus
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Martins, Rafael Messias
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    The Nordic Tweet Stream: A Dynamic Real-Time Monitor Corpus of Big and Rich Language Data2018Ingår i: DHN 2018 Digital Humanities in the Nordic Countries 3rd Conference: Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference Helsinki, Finland, March 7-9, 2018 / [ed] Eetu Mäkelä, Mikko Tolonen, Jouni Tuominen, CEUR-WS.org , 2018, s. 349-362Konferensbidrag (Refereegranskat)
    Abstract [en]

    This article presents the Nordic Tweet Stream (NTS), a cross-disciplinarycorpus project of computer scientists and a group of sociolinguists interestedin language variability and in the global spread of English. Our research integratestwo types of empirical data: We not only rely on traditional structured corpusdata but also use unstructured data sources that are often big and rich inmetadata, such as Twitter streams. The NTS downloads tweets and associatedmetadata from Denmark, Finland, Iceland, Norway and Sweden. We first introducesome technical aspects in creating a dynamic real-time monitor corpus, andthe following case study illustrates how the corpus could be used as empiricalevidence in sociolinguistic studies focusing on the global spread of English tomultilingual settings. The results show that English is the most frequently usedlanguage, accounting for almost a third. These results can be used to assess howwidespread English use is in the Nordic region and offer a big data perspectivethat complement previous small-scale studies. The future objectives include annotatingthe material, making it available for the scholarly community, and expandingthe geographic scope of the data stream outside Nordic region.

  • 238.
    Lamberg-Liszkay, János
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Lisauskas, Tadas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    An alternative roaming model inLoRaWAN2018Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    LoRaWAN is an open networking technology designed for IoT devices that al-lows wireless data transmission over longer ranges than some other wireless tech-nologies, like Wi-Fi or Bluetooth, for devices that are constrained in terms of size,price, and available power. The current design of roaming among networks in LoRaWANis heavily inspired by that of mobile networks, as the use of roaming agreementsis mandated. Roaming agreements create unnecessary administrative overhead thathinders deployments. A roaming model that is quicker and simpler to deploy couldsave money for current users, and could even attract new users to the technology.To circumvent the necessity of roaming agreements, a new, scalable and agreement-less roaming model should be proposed. In this thesis project a literature survey isconducted, investigating similar technologies to find hints or inspiration for a newroaming model. It is found that the broker software architecture pattern put in thecontext of roaming in LoRaWAN suits the requirements quite well, so the new roam-ing model has been developed based on that. A software simulation has been imple-mented to gather data regarding the scalability of the model. It has been found thatthe proposed model is both scalable, and agreement-less.

  • 239.
    Landmér Pedersen, Jesper
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Weighing Machine Learning Algorithms for Accounting RWISs Characteristics in METRo: A comparison of Random Forest, Deep Learning & kNN2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    The numerical model to forecast road conditions, Model of the Environment and Temperature of Roads (METRo), laid the foundation of solving the energy balance and calculating the temperature evolution of roads. METRo does this by providing a numerical modelling system making use of Road Weather Information Stations (RWIS) and meteorological projections. While METRo accommodates tools for correcting errors at each station, such as regional differences or microclimates, this thesis proposes machine learning as a supplement to the METRo prognostications for accounting station characteristics. Controlled experiments were conducted by comparing four regression algorithms, that is, recurrent and dense neural network, random forest and k-nearest neighbour, to predict the squared deviation of METRo forecasted road surface temperatures. The results presented reveal that the models utilising the random forest algorithm yielded the most reliable predictions of METRo deviations. However, the study also presents the promise of neural networks and the ability and possible advantage of seasonal adjustments that the networks could offer.

  • 240.
    Larsson, David
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Tearing down the walls hindering colorblind developers: Assistance tool for colorblind developers2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Out in the world, there are over a million colorblind developers and a lot more that are aspiring developers. Amongst them are colorblind developers that are hindered by their color blindness. Hindered in such ways as they do not have the confidence to design an application, due to them not being able to interpret colors in a similar way as other developers. There is also a fear of “can I be colorblind and be a programmer/web designer?”. With these walls stopping potential developers from advancing or doing certain things, we could lose out on some great developers for the future. In order to tackle this, I am creating a tool for colorblind developers to generate color schemes and mock color schemes in applications. As well as giving them a tool to look up RGB/HEX-values and receive the name of the color matching.

  • 241.
    Lee, Songho
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Current practices for DNS Privacy: Protection towards pervasive surveillance2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [sv]

    Den nuvarande användningen av DNS-systemet är ett signifikant kryphål för internetanvändares integritet, eftersom alla frågor och svar som krävs för att konvertera en webbadress till IP-adress inte skyddas i de flesta fall. Rapporten identifierar internetanvändarnas integritetsintressen och presenterar den nuvarande tekniken som syftar till att förbättra DNS-sekretessen genom en systematisk litteraturgranskning. Rapporten undersöker också begränsningarna i den nuvarande praxis och redovisar flera förslag såsom DNS-över-Tor och metoder som möjliggör periodiskt ändring av rekursiva resolvrar, och de metoderna förväntas att minimera integritetsläckor.

  • 242.
    Leifsdóttir, Petra Íris
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Programmering med BBC micro:bit i grundskolan: En studie som syftar till att underlätta programmeringsundervisningen för högstadielärare2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [sv]

    Sedan höstterminen 2018 står det inskrivet i läroplanen att programmering ska finnas som en del i teknik- och matematikundervisningen i grundskolan. Trots det så var få lärare förberedda på ändringen vilket gjort det svårt för lärarna att fullfölja kraven i läroplanerna. 

    Då det krävs kompetens hos lärarna inom programmering för att kunna fullfölja skolverkets kursplaner och att få lärare hade fått den kompetensen innan höstterminen 2018 har det under denna studies gång tagits fram en prototyp av ett verktyg som är avsett att underlätta undervisningen av programmering för högstadieelever. Tanken med verktyget är att det ska användas för att programmera BBC micro:bit med microPython. BBC micro:bit är en mikrodator som används i undervisningen i bland annat Kronobergs län där det även pågår ett projekt vid namn Make it happen för att stärka den digitala kompetensen.

    Resultatet indikerar att ett molnbaserat verktyg som innehåller både en utvecklingsmiljö och dokumentation på svenska möjligen kan underlätta undervisningen. Dock behövs verktyget utvecklas mera, lägga till mer funktionalitet och information samt göra fler tester för att undersöka användbarheten.

  • 243.
    Lennartsson, Alexander
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Melander, Hilda
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Comparison of systems to detect rogue access points2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    A hacker might use a rogue access point to gain access to a network, this poses athreat to the individuals connected to it. The hacker might have the potential to leakcorporate data or steal private information. The detection of rogue access points istherefore of importance to prevent any damage to both businesses and individuals.Comparing different software that detects rogue access points increases the chanceof someone finding a solution that suits their network. The different type of softwarethat are compared are intrusion detection systems, wireless scanners and a Ciscowireless lan controller. The parameters that are being compared are; cost, compat-ibility, detection capability and implementation difficulty. In order to obtain resultssome of the parameters require testing. As there are three types of software, threeexperiment environments should be conducted. Our research indicates that alreadyexisting network equipment or the size of the network affects the results from theexperiments.

  • 244.
    Li, Jian-De
    et al.
    Natl Chung Hsing Univ, Taiwan.
    Kuo, Chun-Hao
    Natl Chiao Tung Univ, Taiwan.
    Lu, Guan-Ruei
    Natl Chiao Tung Univ, Taiwan.
    Wang, Sying-Jyan
    Natl Chung Hsing Univ, Taiwan.
    Li, Katherine Shu-Min
    Natl Sun Yat Sen Univ, Taiwan.
    Ho, Tsung-Yi
    Natl Tsing Hua Univ, Taiwan.
    Chen, Hung-Ming
    Natl Chiao Tung Univ, Taiwan.
    Hu, Shiyan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Co-placement optimization in sensor-reusable cyber-physical digital microfluidic biochips2019Ingår i: Microelectronics Journal, ISSN 0959-8324, Vol. 83, s. 185-196Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Digital microfluidic biochips (DMFBs) facilitate modern healthcare applications. One of the most important applications is point-of-care (POC) clinical diagnosis which is directly related to human health. However, biochemical experiments are usually error-prone, which makes monitoring intermediate results during bioassay execution be required to ensure the correctness of POC clinical diagnosis. To tackle this problem, cyber-physical digital microfluidic biochips with integrated sensors have been proposed and have attracted attention recently. In order to fully utilize the sensors for detection, the reusability of sensors should be taken into consideration during the module placement stage of cyber-physical DMFBs synthesis flow. Moreover, excessive actuation of electrodes may cause reliability degradation and this issuse should also be taken care of during module placement stage. In order to deal with the aforementioned problems, this paper presents the first co-optimization method for both module and sensor placement. Experimental results show that the proposed method can effectively minimize bioassay completion time while meeting all constraints from sensors and electrodes.

  • 245.
    Lincke, Alisa
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Fellman, Daniel
    Umeå University, Sweden.
    Jansen, Marc
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Umeå University, Sweden.
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Berge, Elias
    Hypocampus AB, Sweden.
    Jonsson, Bert
    Umeå University, Sweden.
    Correlating Working Memory Capacity with Learners´ Study Behavior in a Web-Based Learning Platform2019Ingår i: Proceedings of the  27th International Conference on Computers in Education Conference Proceedings, Asia-Pacific Society for Computers in Education, 2019, Vol. 1, s. 90-92Konferensbidrag (Refereegranskat)
    Abstract [en]

    Cognitive pre-requisites should be taken into consideration when providing personalized and adaptive digital content in web-based learning platforms. In order to achieve this it should be possible to extract these cognitive characteristics based on students´ study behavior. Working memory capacity (WMC) is one of the cognitive characteristics that affect students’ performance and their academic achievements. However, traditional approaches to measuring WMC are cognitively demanding and time consuming. In order to simplify these measures, Chang et al. (2015) proposed an approach that can automatically identify students’ WMC based on their study behavior patterns. The intriguing question is then whether there are study behavior characteristics that correspond to the students’ WMC? This work explores to what extent it is possible to map individual WMC data onto individual patterns of learning by correlating working memory capacity with learners´ study behavior in an adaptive web-based learning system. Several machine learning models together with a rich context model have been applied to identify the most relevant study behavior characteristics and to predict students’ WMC. The evaluation was performed based on data collected from 122 students during a period of 2 years using a web-based learning platform. The initial results show that there is no linear correlation with learners´ study behavior and their WMC.

  • 246.
    Lincke, Alisa
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Jansen, Marc
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME). Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Berge, Elias
    Using Data Mining Techniques to Assess Students’ Answer Predictions2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    Estimating students´ knowledge and performance, modeling their learning behaviors, and discovering and analyzing their different characteristics are some of the main tasks in the field of research called educational data mining (EDM). According to Chounta (2017), the predicted probabilities that a student will answer a question correctly can provide some insights into the student´s knowledge. Based on this point of departure, the main objective of this paper is to apply different data mining techniques to predict the probabilities that students will answer questions correctly by using their interaction records with a web-based learning platform called Hypocampus. Five different machine learning algorithms and a rich context model were used on the Hypocampus dataset. The results of our evaluation indicate that the gradient-boosted tree and the XGboost algorithms are best in predicting the correctness of the student’s answer

  • 247.
    Lincke, Alisa
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Lozano Prieto, David
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Herault, Romain Christian
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Forsgärde, Elin-Sofie
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för hälso- och vårdvetenskap (HV).
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Visualizing learners’ navigation behaviour using 360 degrees interactive videos2019Ingår i: Proceedings of the 15th International Conference on Web Information Systems and Technologies / [ed] Alessandro Bozzon, Francisco Domínguez Mayo & Joaquim Filipe, Vienna: SciTePress, 2019, Vol. 1, s. 358-364Konferensbidrag (Refereegranskat)
    Abstract [en]

    The use of 360-degrees interactive videos for educational purposes in the medical field has increased in recent years, as well as the use of virtual reality in general. Learner’s navigation behavior in 360-degrees interactive video learning environments has not been thoroughly explored yet. In this paper, a dataset of interactions generated by 80 students working in 16 groups while learning about patient trauma treatment using 360-degrees interactive videos is used to visualize learners’ navigation behavior. Three visualization approaches were designed and implemented for exploring users’ navigation paths and patterns of interaction with the learning materials are presented and discussed. The visualization tool was developed to explore the issues above and it provides a comprehensive overview of the navigation paths and patterns. A user study with four experts in the information visualization field has revealed the advantages and drawbacks of our solution. The paper concludes by providing some suggestions for improvements of the proposed visualizations.

  • 248.
    Lincke, Alisa
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Lundberg, Jenny
    Thunander, Maria
    Lund University .
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Lundberg, Jonas
    Jusufi, Ilir
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Diabetes Information in Social Media2018Ingår i: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18) / [ed] Karsten Klein, Yi-Na Li, and Andreas Kerren, ACM Publications, 2018, s. 104-105Konferensbidrag (Refereegranskat)
    Abstract [en]

    Social media platforms have created new ways for people to communicate and express themselves. Thus, it is important to explore how e-health related information is generated and disseminated in these platforms. The aim of our current efforts is to investigate the content and flow of information when people in Sweden use Twitter to talk about diabetes related issues. To achieve our goals, we have used data mining and visualization techniques in order to explore, analyze and cluster Twitter data we have collected during a period of 10 months. Our initial results indicate that patients use Twitter to share diabetes related information and to communicate about their disease as an alternative way that complements the traditional channels used by health care professionals.

  • 249.
    Lindahl, Daniel
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ledsagande av seniorer i samband med webben: Identifiering av tillvägagångssätt att bistå seniorer i utförandet av uppgifter på webben2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [sv]

    Webben kan användas i många syften och kan skapa ett mervärde både i arbetslivet och det

    privata livet för människor. Idag förekommer användande av datorer, webben och IT generellt

    i ett flertal branscher. IT har också blivit en del av det svenska utbildningssystemet där det

    händer att skolan förser eleverna med en dator och tillhörande program att utföra studier med.

    De flesta av svenskarna får idag någon form av datorvana genom antingen jobb eller studier,

    något som vissa seniorer har gått miste om. Personer över 75 år är med marginal den

    åldersgrupp (räknat från tolv år och äldre) som i Sverige använder internet mest sällan. När

    frågan ställs om varför är svaret ”det är för krångligt” vanligt förekommande.

    Denna studie syftar att ta reda på hur användande av webben kan underlättas för seniorer

    (definierat till personer 75 år och äldre i denna studie). Till en början gick studien ut på att ta

    reda på vad seniorer kan få ut av att använda internet och webben. Det gjordes genom en

    litteratursökning och genom ett antal intervjuer. Det framkom att seniorer som faktiskt använder

    webben på ett eller annat sätt nyttjar exempelvis internetbank, mail och nyheter genom såväl

    dator som smartphone och surfplatta. Dessa tre områden (mail, internetbank och nyheter)

    användes i studien som centra för testen som skulle undersöka hur seniorers interaktion med

    webben kan underlättas.

    Ett webbläsartillägg utformades anpassat till ovan tre beskrivna områden. Kort beskrivet är ett

    webbläsartillägg ett lokalt program/tillägg som går att installera i sin webbläsare för att

    personligen ha tillgång till extern funktionalitet, exempelvis att blockera reklam.

    Webbläsartillägget som skapades i denna studie gav användarens webbläsare grafiska element

    som var tänkta att hjälpa användaren att lösa ett antal fördefinierade uppgifter. Tre olika koncept

    testades under studien. Med koncept syftas här hur den grafiska hjälpen utformas.

    Användartester utfördes med och utan webbläsartillägg som hjälp för att kunna se om det var

    någon skillnad på resultaten. När tester utfördes med webbläsartillägget roterades koncepten

    beskrivna ovan så att alla tre koncept testades under likvärdiga förutsättningar. Testpersonerna

    som utförde tester med webbläsartillägget fick även möjlighet att ge anonym respons på

    koncepten genom att fylla i enkäter. Enligt resultaten av denna studie lyckas seniorer bättre

    (större andel lyckade försök) och snabbare att utföra vardagliga uppgifter när det fanns tillgång

    till en lista med hur uppgiften ska utföras eller genom att viktiga rubriker och knappar för

    uppgiften är markerade.

  • 250.
    Lindwall, Katrin
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Sjökvist, Jan
    Xplorator.
    Green, Rebecka (Illustratör)
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Maker Tour - Mot nya höjder: Make IT flow, del 22018Övrigt (Övrig (populärvetenskap, debatt, mm))
    Abstract [sv]

    Utmaningarna är en del av projektet Maker tour - Mot nya höjder ( tidigare Mot nya höjder). Projektets mål är att öka intresset för naturvetenskap, teknik och matematik bland skolelever.

    Läs gärna mer på http://motnyahojder.com/

2345678 201 - 250 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