Now showing items 553-572 of 627

    • TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments 

      Brenna, Lars; Singh, Isak Sunde; Johansen, Håvard D.; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-20)
      Fully Homomorphic Encryption (FHE) and Trusted Execution Environ-ments (TEEs) are complementing approaches that can both secure computa-tions running remotely on a public cloud. Existing FHE schemes are, however, malleable by design and lack integrity protection, making them susceptible to integrity breaches where an adversary could modify the data and corrupt the output. This paper describes how ...
    • The third country problem under the GDPR: enhancing protection of data transfers with technology 

      Juliussen, Bjørn Aslak; Kozyri, Elisavet; Johansen, Dag; Rui, Jon Petter (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-19)
      The overall objective of the General Data Protection Regulation (GDPR)1 is two-fold: To contribute to the protection of privacy and personal data and to promote the free flow of personal data within the protected area2 through uniform regulations and homogenized interpretations of those regulations.<p> <p>If a controller or processor in the protected area (the exporter) transfers personal data ...
    • Through space and time 

      Devold, Erling Arvola (Mastergradsoppgave; Master thesis, 2023-06-02)
      Modern fishing vessels have a wide range of instruments and sensors on board that are used for active fishing operations, with sonar equipment and echo sounders being among the most common. Sonar allows horizontal observation of the water column, while echo sounders provide more precise underwater environment monitoring. These instruments are useful as they are used today but require a lot of user ...
    • Time constrained video playback 

      Larsen, Webjørn Ivar (Master thesis; Mastergradsoppgave, 2010-06-08)
      The duration of video playlists, might be a problem when watching on mobile devices, while on the go. We are exploring the problem of how to reduce the size of a video playlist, while maintain the important parts of the videoclips in the playlist. We have designed algorithms that automatically can cut down a playlist by cutting the duration of clips or sometimes even removing clips. We have shown ...
    • Topic-based Video Analysis: A Survey 

      Pal, Ratnabali; Sekh, Arif Ahmed; Dogra, Debi Prosad; Kar, Samarjit; Roy, Partha Pratim; Prasad, Dilip K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-13)
      Manual processing of a large volume of video data captured through closed-circuit television is challenging due to various reasons. First, manual analysis is highly time-consuming. Moreover, as surveillance videos are recorded in dynamic conditions such as in the presence of camera motion, varying illumination, or occlusion, conventional supervised learning may not work always. Thus, computer ...
    • TOS: A Kernel of a Distributed Systems Management System 

      Marzullo, Keith; Lauvset, Kåre J.; Johansen, Dag (Research report; Forskningsrapport, 2000-03-02)
      Distributed systems are becoming harder to manage, in part because the uses we put to distributed systems are rapidly changing. Hence, the software used to manage a distributed system needs to be flexible enough to accommodate these new uses. It also has to be secure enough to not allow unauthorized changes to be made to the system. We present a library and a kernel that supports the management ...
    • Toward a Conversational Agent to Support the Self-Management of Adults and Young Adults With Sickle Cell Disease: Usability and Usefulness Study 

      Issom, David-Zacharie; Hardy-Dessources, Marie-Dominique; Romana, Marc; Hartvigsen, Gunnar; Lovis, Christian (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-01-29)
      Sickle cell disease (SCD) is the most common genetic blood disorder in the world and affects millions of people. With aging, patients encounter an increasing number of comorbidities that can be acute, chronic, and potentially lethal (e.g., pain, multiple organ damages, lung disease). Comprehensive and preventive care for adults with SCD faces disparities (e.g., shortage of well-trained providers). ...
    • Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System 

      Woldaregay, Ashenafi Zebene; Launonen, Ilkka Kalervo; Årsand, Eirik; Albers, David; Holubova, Anna; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-12)
      <i>Background</i>: Type 1 diabetes is a chronic condition of blood glucose metabolic disorder caused by a lack of insulin secretion from pancreas cells. In people with type 1 diabetes, hyperglycemia often occurs upon infection incidences. Despite the fact that patients increasingly gather data about themselves, there are no solid findings that uncover the effect of infection incidences on key ...
    • Towards a General Database Management System of Conflict-Free Replicated Relations 

      Tomter, Iver Toft (Master thesis; Mastergradsoppgave, 2021-05-31)
      This project aims to explore creating a relational database of Conflict-Free Replicated Relations (CRR) that is generally applicable for most user applications. We aim to achieve generality by using SQLite because it is a commonly used embedded Database Management System that comes default in all Android or iOS devices. The implementation challenge is making CRR using only SQL. We propose a ...
    • Towards a New Model for Chronic Disease Consultations 

      Randine, Pietro; Cooper, John Graham; Hartvigsen, Gunnar; Årsand, Eirik (Chapter; Bokkapittel, 2022-08-22)
      Medical consultations for chronic diseases form an arena to provide information from health personnel to patients. This information is necessary for patients to understand how to deal with the possible lifelong symptoms and needed self-management activities. The amount of patient-generated health data is increasing. Today’s patients gather an increasing amount of personalised health-related information. ...
    • Towards Consent-Based Lifelogging in Sport Analytic 

      Johansen, Håvard; Gurrin, Cathal Gerard; Johansen, Dag (Chapter; Bokkapittel, 2015)
      Lifelogging is becoming widely deployed outside the scope of solipsistic self quantification. In elite sport, the ability to utilize these digital footprints of athletes for sport analytic has already become a game changer. This raises privacy concerns regarding both the individual lifelogger and the bystanders inadvertently captured by increasingly ubiquitous sensing devices. This paper describes ...
    • Towards Data Dissemination Policy Prediction for Constrained Environments Using Analytics 

      Guegan, Loic; Rais, Issam; Anshus, Otto Johan (Journal article; Tidsskriftartikkel, 2023-09-27)
      <p>In Cyber-Physical Systems (CPS) such as Wireless Sensors Networks (WSN), disseminating data is crucial. Under energy constraints with limited communications capabilities, performing data dissemination is challenging. In such contexts, common data dissemination methods cannot be used. Nodes must rely on device-to-device communications policies to mitigate the impact of communications on the nodes ...
    • Towards Declarative Characterisation and Negotiation of Bindings 

      Hanssen, Øyvind (Chapter; Bokkapittel, 2005-12)
    • Towards Improved Support for Conflict-Free Replicated Data Types 

      Rostad, Sigbjørn (Master thesis; Mastergradsoppgave, 2020-06-30)
      Conflict-free Replicated Data Types (CRDTs) are distributed data types which ensure Strong Eventual Consistency (SEL), and also has properties such as commutativity and idempotence. There are many variations of CRDTs, and the ones we will study are state-based delta CRDTs. State-based CRDTs is a variation where the CRDT instances synchronize by sending their state to each other. An improvement to ...
    • Towards the Neuroevolution of Low-level artificial general intelligence 

      Pontes Filho, Sidney; Olsen, Kristoffer; Yazidi, Anis; Riegler, Michael; Halvorsen, Pål; Nichele, Stefano (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-14)
      In this work, we argue that the search for Artificial General Intelligence should start from a much lower level than human-level intelligence. The circumstances of intelligent behavior in nature resulted from an organism interacting with its surrounding environment, which could change over time and exert pressure on the organism to allow for learning of new behaviors or environment models. Our ...
    • Trading network performance for cash in the bitcoin blockchain 

      Tedeschi, Enrico (Master thesis; Mastergradsoppgave, 2017-11-15)
      This thesis describes a longitudinal study of Bitcoin, the perhaps most popular blockchain based system today. Public blockchains have emerged as a plausible messaging substrate for applications that require highly reliable communication. However, sending messages over existing blockchains can be cumbersome and costly as miners require payment to establish consensus on the sequence of messages, ...
    • Tram-tastic Cloud Computing 

      Baig, Mirza Aneeq Hassan (Mastergradsoppgave; Master thesis, 2023-05-14)
      This master’s thesis evaluates the scalability and cost-effectiveness of the AWS cloud platform used to collect and utilize data generated by the 87 digitally equipped trams. The SL-18 Cloud Platform was developed before the trams arrived, and resource configuration estimates were made to handle the data generated by the trams. However, with a few trams currently operational, it is crucial to evaluate ...
    • Transfer Learning Based Fault Detection for Suspension System Using Vibrational Analysis and Radar Plots 

      Sai, Samavedam Aditya; Venkatesh, Sridharan Naveen; Dhanasekaran, Seshathiri; Balaji, Parameshwaran Arun; Sugumaran, Vaithiyanathan; Lakshmaiya, Natrayan; Paramasivam, Prabhu (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-26)
      The suspension system is of paramount importance in any automobile. Thanks to the suspension system, every journey benefits from pleasant rides, stable driving and precise handling. However, the suspension system is prone to faults that can significantly impact the driving quality of the vehicle. This makes it essential to find and diagnose any faults in the suspension system and rectify them ...
    • Transparent Incremental Updates for Genomics Data Analysis Pipelines 

      Pedersen, Edvard; Willassen, Nils Peder; Bongo, Lars Ailo (Chapter; Bokkapittel, 2014)
      A large up-to-date compendium of integrated genomic data is often required for biological data analysis. The compendium can be tens of terabytes in size, and must often be frequently updated with new experimental or meta-data. Manual compendium update is cumbersome, requires a lot of unnecessary computation, and it may result in errors or inconsistencies in the compendium. We propose a transparent ...
    • Transparent Incremental Updates for Genomics Data Analysis Pipelines 

      Pedersen, Edvard; Willassen, Nils Peder; Bongo, Lars Ailo (Chapter; Bokkapittel, 2014)