Blar i Fakultet for teknologi, kunst og design (TKD) på dokumenttype "Chapter"

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    • 3D printing in medical application: an educational design perspective 

      Mirtaheri, Peyman; Güler, Evin; Gjøvaag, Terje (Chapter; Peer reviewed, 2017)
      Medical applications for 3D printin g are expanding rapidly and are expected to revolutionize health care. The application of 3D printing in medicine and healthcare can provide many bene fits, including ...

    • 5G-sikkerhet: Norge mellom stormaktene 

      Friis, Karsten; Lysne, Olav (Chapter; Peer reviewed, 2022)
      I dette kapitlet tar vi for oss en digital sårbarhet som har dannet grunnlag for en opphetet sikkerhetspolitisk debatt både nasjonalt og internasjonalt. Denne sårbarheten er relatert til utbyggingen av femte generasjons ...

    • A Simple Browser-based 3D-Sketching Framework for Novice and Infrequent Users 

      Sandnes, Frode Eika; Lianguzov, Yuriy (Chapter; Peer reviewed, 2017)
      Modelling in 3D is considered time-consuming and difficult, requiring special training. There are currently no 3D modelling user interface conventions. This paper thus presents a framework for simple 3D modelling based ...

    • The Accessibility of MOOCs for Blind Learners 

      Krolak, Aleksandra; Chen, Weiqin; Sanderson, Norun Christine; Kessel, Siri (Association for Computing Machinery (ACM);, Chapter; Peer reviewed, 2017)
      The development of Massive Open Online Courses (MOOCs) has provided unique learning opportunities for many people. In the meantime, the lack of accessibility in some MOOCs has also created barriers for ...

    • Accessibility of MOOCs for Blind People in Developing Non-English Speaking Countries 

      Ferati, Mexhid; Mripa, Njomza; Bunjaku, Ridvan (Chapter; Peer reviewed; Chapter, 2016-07-08)
      Besides the globally popular MOOCs, localized MOOCs specific to a region or language are also emerging. These specialized MOOCs often aim to address specific needs that are typically unaddressed by the ...

    • Achieving Connectivity between Wide Areas Through Self-Organising Robot Swarms using Embodied Evolution 

      Erik Aaron, Hansen; Nichele, Stefano; Yazidi, Anis; Haugerud, Hårek; Abolpour Mofrad, Asieh; Alcocer, Alex (Chapter; Peer reviewed, 2018)
      Abruptions to the communication infrastructuremight occur occasionally, where manual intervention by dedi-cated personnel is needed to fix the interruptions, restoring com-munication abilities. However, sometimes this can ...

    • Achieving Intelligent Traffic-aware Consolidation of Virtual Machines in a Data Center Using Learning Automata 

      Jobava, Akaki; Yazidi, Anis; Oommen, John; Begnum, Kyrre (Chapter; Peer reviewed, 2016)
      Cloud Computing (CC) is becoming increasingly pertinent and popular. A natural consequence of this is that many modern-day data centers experience very high internal traffic within the data centers themselves. The ...

    • Activity Recognition and Prediction in Real Homes 

      Casagrande, Flavia Dias; Zouganeli, Evi (Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings;, Chapter; Peer reviewed, 2019)
      In this paper, we present work in progress on activity recognition and prediction in real homes using either binary sensor data or depth video data. We present our field trial and set-up for collecting and storing the data, ...

    • Advances in information technology and its implication on privacy 

      Hassan, Ismail (Network and system administration : research surveys;Vol. 1, Chapter; Peer reviewed, 2004)
      Over the past three decades, computers and information technology in general have experienced an enormous growth and development. This amazing new technology is profoundly affecting and changing the functioning of societies ...

    • The Aesthetic Model of Disability 

      Edvardsen, Nanna Kathrine; Gjærum, Rikke Gürgens (Chapter; Peer reviewed, 2021-08-16)
      This chapter explores the questions of how and why certain behaviours are perceived as an expression of a disability – and not, for example, as an mic expression – and what role art can play when it comes to constructing ...

    • ANALYSIS AND MEASURES TO IMPROVE THE EFFICIENCY OF BUILDING INFORMATION MODELLING IN COST ESTIMATES 

      Rolfsen, Christian Nordahl; Muhammed, Sariteke (Chapter; Conference object, 2023)
      Building Information Models (BIM) and information in these models have been responsible for an "industrial revolution" in the construction industry, but there has not been the same focus on BIM in the early stages of ...

    • “Anti-Bayesian” Flat and Hierarchical Clustering Using Symmetric Quantiloids 

      Yazidi, Anis; Hammer, Hugo Lewi; Oommen, John (Chapter; Peer reviewed; Journal article, 2016)
      A myriad of works has been published for achieving data clustering based on the Bayesian paradigm, where the clustering sometimes resorts to Naïve-Bayes decisions. Within the domain of clustering, the Bayesian principle ...

    • Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification 

      Arcelli Fontana, Francesca; Dietrich, Jens; Walter, Bartosz; Yamashita, Aiko; Zanoni, Marco (Chapter; Peer reviewed; Chapter, 2016)
      Anti-patterns and code smells are archetypes used for describing software design shortcomings that can negatively affect software quality, in particular maintainability. Tools, metrics and methodologies ...

    • Are Split Tablet Keyboards Better? A Study of Soft Keyboard Layout and Hand Posture 

      Aschim, Thomas Bekken; Gjerstad, Julie Lidahl; Lien, Lars Vidar; Tahsin, Rukaiya; Sandnes, Frode Eika (Human-Computer Interaction – INTERACT 2019;volume 11748, Chapter; Peer reviewed, 2019)
      Soft Qwerty keyboards are widely used on mobile devices such as tablets and smartphones. Research into physical keyboards have found split keyboards to be ergonomically better than ordinary physical keyboards. Consequently, ...

    • Artificial cognitive functions towards AI-enabled collaborative robots 

      Zouganeli, Evi; Lentzas, Athanasios (Chapter; Conference object, 2023)
      In this paper we discuss work in progress and our approach to next generation robotics. The use of cognitive architectures can overcome some of the challenges encountered when Artificial In- telligence (AI) algorithms ...

    • An automatic two-hand 2d:4dD finger-ratio measurement algorithm for flatbed scanned images 

      Sandnes, Frode Eika (Peer reviewed; Chapter, 2015)
      Abstract— There is a vast body of research based on 2D:4D finger ratio measurements within the fields of medicine, physiology, and several other disciplines. There are well-known conventions for how such finger measures ...

    • Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure 

      Storås, Andrea; Riegler, Michael Alexander; Haugen, Trine B.; Thambawita, Vajira L B; Hicks, Steven Alexander; Hammer, Hugo Lewi; Kakulavarapu, Radhika; Halvorsen, Pål; Stensen, Mette Haug (Chapter; Conference object, 2023)
      The in vitro fertilization procedure called intracytoplasmic sperm injection can be used to help fertilize an egg by injecting a single sperm cell directly into the cytoplasm of the egg. In order to evaluate, refine and ...

    • Autonomous configuration of network parameters in operating systems using evolutionary algorithms 

      Gembala, Bartosz Gembala; Yazidi, Anis; Haugerud, Hårek; Nichele, Stefano (Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems;, Chapter; Peer reviewed, 2018)
      By default, the Linux network stack is not configured for highspeed large file transfer. The reason behind this is to save memory resources. It is possible to tune the Linux network stack by increasing the network buffers ...

    • Avoiding product abandonment through user centered design: A case study involving the development of a 3D printed customized upper limb prosthesis 

      Figliolia, Amanda; Medola, Fausto Orsi; Sandnes, Frode Eika; Rodrigues, Ana Claudia Tavares; Paschoarelli, Luis Carlos (Advances in Intelligent Systems and Computing;volume 975, Chapter; Peer reviewed, 2019-06-05)
      This study reports on experiences with a user centered design approach for the development of a customized mechanical transradial prosthesis for a patient who were unable to adapt to a standard prosthesis. The development ...

    • Bidirectional Learning for Robust Neural Networks 

      Pontes-Filho, Sidney; Liwicki, Marcus (Neural Networks (IJCNN), International Joint Conference on; 2019 International Joint Conference on Neural Networks (IJCNN), Chapter; Peer reviewed, 2019)
      A multilayer perceptron can behave as a generative classifier by applying bidirectional learning (BL). It consists of training an undirected neural network to map input to output and vice-versa; therefore it can produce a ...