Blar i ODA Open Digital Archive på dokumenttype "Conference object"

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    • A Comparison of Form Navigation with Tabbing and Pointing 

      Ferner, Bernt; Gåsøy, Adrian; Nicolaysen, Martin Walberg; Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      The form is a widely used metaphor in information gathering. Users typically navigate between form elements using a keyboard or a pointing device. This study set out to empirically compare tabbing and pointing in form ...

    • A Comparison of Multiple Selections Using Multiple Checkbox Selections and List Boxes 

      Leithe, Wasana; Sandnes, Frode Eika (Communications in Computer and Information Science;Volume 1499, Conference object, 2021-11-06)
      Website forms are commonly used for collecting information from users. Users choose one or more alternatives from a list. However, data input can be time-consuming. We therefore set out to explore which multiple selection ...

    • Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (International Joint Conference on Neural Networks (IJCNN); 2019 International Joint Conference on Neural Networks (IJCNN), Conference object, 2019-09-30)
      We present results and comparative analysis on the prediction of sensor events in a smart home environment with a limited number of binary sensors. We apply two probabilistic methods, namely Sequence Prediction via Enhanced ...

    • A comparison of three Potato peeler designs 

      Drejer, Åshild Bøe; Enstad, Truls; Fog, Erik R. M.; Viken, Thor Oskar F.; Medola, Fausto Orsi; Sandnes, Frode Eika (Advances in Intelligent Systems and Computing;volume 1269, Conference object, 2021-08-30)
      This study set out to compare the effectiveness and efficiency of three common potato peeler designs, and whether there were any differences related to gender in terms of use. An experiment was designed involving a timed ...

    • The Computing Fleet: Managing Microservices-based Applications on the Computing Continuum 

      Roman, Dumitru; Song, Hui; Loupos, Konstantinos; Krousarlis, Thomas; Soylu, Ahmet; Skarmeta, Antonio F. (IEEE International Conference on Software Architecture Workshops (ICSAW);2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C), Conference object, 2022-05-25)
      In this paper we propose the concept of “Computing Fleet” as an abstract entity representing groups of heterogeneous, distributed, and dynamic infrastructure elements across the Computing Continuum (covering the Edge-Fog-Cloud ...

    • Connecting Remote eNodeB with Containerized 5G C-RANs in OpenStack Cloud 

      Dzogovic, Bruno; Santos, Bernardo; Do, Thuan Van; Feng, Boning; Jacot, Niels; Do, van Thanh (IEEE International Conference on Cyber Security and Cloud Computing (CSCloud);2019 6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), Conference object, 2019-10-03)
      Cloud-Radio Access Networks are one of the main enablers for driving the 5G technology. They allow creation and utilization of core network components in a precise flexible manner that implies of the possibility for resource ...

    • Construction of an Inexpensive Eye Tracker for Social Inclusion and Education 

      Krohn, Otthar; Varankian, Vako; Lind, Pedro; Melo, Gustavo (Lecture Notes in Computer Science;Volume 12188, Conference object, 2020-07-10)
      In this paper we described how to build an inexpensive eye-tracker and to apply it social inclusion and educational activities in schools. The building of the device includes both the construction of the eye-tracking headset ...

    • ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER 

      Layegh, Amirhossein; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail (IEEE Annual International Computer Software and Applications Conference (COMPSAC);, Chapter; Peer reviewed; Conference object, 2023)
      Prompt-based language models have produced encouraging results in numerous applications, including Named Entity Recognition (NER) tasks. NER aims to identify entities in a sentence and provide their types. However, the ...

    • Cooking as identity work 

      Bugge, Annechen Bahr (Project Note;6-2003, Conference object, 2003)
      What kind of activity is cooking? In the Norwegian food discourse the domestic cook is described as a scientist, an artist, an expert, a perfectionist, a patriot, a protector of nature, a politician, a gourmet, a good ...

    • Country Selection on Web Forms: A Comparison of Dropdown Menus, Radio Buttons and Text Field with Autocomplete 

      Jensen, Emil Thorstensen; Hansen, Martin; Eika, Evelyn; Sandnes, Frode Eika (International Conference on Ubiquitous Information Management and Communication (IMCOM); 2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM), Conference object, 2020-02-20)
      Many forms on the web include obligatory country fields. Usually country form-fields are implemented using a long drop-down menu. This preliminary study set out to investigate whether the typical country drop-down menu is ...

    • COVID-19 and Global Increases in Cybersecurity Attacks: Review of Possible Adverse Artificial Intelligence Attacks 

      Alzarqawee, Aws Naser Jaber; Fritsch, Lothar (International Computer Science and Engineering Conference (ICSEC);2021 25th International Computer Science and Engineering Conference, Conference object, 2022)
      The World Health Organization's (WHO) coronavirus disease dashboard has recorded over 207 million confirmed infections and over 4 million deaths. There has been an increasing vulnerability in cybersecurity amongst businesses, ...

    • Creativity in assessment rubrics 

      Lutnæs, Eva (Proceedings of E&PDE 2018 - 20th International Conference on Engineering and Product Design Education, Diversity or Conformity, Dyson School of Engineering, Imperial College, London. 6th - 7th September 2018;, Conference object, 2018)
      Creativity is a key topic in the scientific discourse on design education, and a desired outcome of general education worldwide. Concepts used in assessment have an important role in general education: they define knowledge ...

    • Critical design literacy through reflection in design 

      Maus, Ingvill Gjerdrum (Proceedings of the DRS LEARN X DESIGN 2021;Volume 1. Proceedings of the DRS LEARN X DESIGN 2021. 6th International Conference for Design Education Researchers. 24–26 September 2021 Jinan, China. Engaging with Challenges in Design Education, Conference object, 2021)
      This paper discusses a conceptual review of three frameworks for students’ reflection in general design education. The frameworks were selected for their different focus of attention with respect to students’ engagement ...

    • Cultural Policies, Social Missions, Algorithms and Discretion: What Should Public Service Institutions Recommend? 

      Tallerås, Kim; Colbjørnsen, Terje; Oterholm, Knut; Larsen, Håkon (Lecture Notes in Computer Science book series;Volume 12051, Conference object, 2020-03-19)
      Digital media services, and streaming services in particular, filter and recommend content to their users by the use of algorithms. In this paper, we ask what happens when institutions like public service broadcasters, ...

    • Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs 

      Holm, Håvard Heitlo; Sætra, Martin Lilleeng; Brodtkorb, André R. (Springer Proceedings in Mathematics & Statistics;volume 323, Conference object, 2020-06-10)
      In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ...

    • Data quality issues in solar panels installations: a case study 

      Roman, Dumitru; Pultier, Antoine; Ma, Xiang; Soylu, Ahmet; Ulyashin, Alexander (SEA4DQ: Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things;SEA4DQ '22: 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, Conference object, 2022-11-09)
      Solar photovoltaics (PV) is becoming an important source of global electricity generation. Modern PV installations come with a variety of sensors attached to them for monitoring purposes (e.g., maintenance, prediction of ...

    • DataCloud: Enabling the Big Data Pipelines on the Computing Continuum 

      Roman, Dumitru; Nikolov, Nikolay; Elvesæter, Brian; Soylu, Ahmet; Prodan, Radu; Kimovski, Dragi; Marrella, Andrea; Leotta, Francesco; Benvenuti, Dario; Matskin, Mihhail; Ledakis, Giannis; Simonet-Boulogne, Anthony; Perales, Fernando; Kharlamov, Evgeny; Ulisses, Alexandre; Solberg, Arnor; Ceccarelli, Raffaele (Lecture Notes in Business Information Processing;Volume 415, Conference object, 2021-05)
      With the recent developments of Internet of Things (IoT) and cloud-based technologies, massive amounts of data are generated by heterogeneous sources and stored through dedicated cloud solutions. Often organizations generate ...

    • A Decentralized Approach for Homogenizing Load Distribution in Cloud Data Center Based on Stable Marriage Matching 

      Sangar, Disha; Haugerud, Hårek; Yazidi, Anis; Begnum, Kyrre Matthias (MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems;, Conference object, 2019)
      Running a sheer virtualized data center with the help of Virtual Machines (VM) is the de facto-standard in modern data centers. Live migration offers immense flexibility opportunities as it endows the system administrators ...

    • A Deep Learning Approach To Dead-Reckoning Navigation For Autonomous Underwater Vehicles With Limited Sensor Payloads 

      Saksvik, Ivar; Alcocer, Alex; Hassani, Vahid (OCEANS;OCEANS 2021: San Diego – Porto, Conference object, 2022)
      This paper presents a deep learning approach to aid dead-reckoning (DR) navigation using a limited sensor suite. A Recurrent Neural Network (RNN) was developed to predict the relative horizontal velocities of an Autonomous ...

    • A Deep Learning Approach to Dynamic Passive RTT 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Griwodz, Carsten (2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC);, Conference object, 2019)
      The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ...