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    • Models for energy consumption of data structures and algorithms 

      Ha, Hoai Phuong; Tran, Ngoc Nha Vi; Umar, Ibrahim; Tsigas, Philippas; Gidenstam, Anders; Renaud-Goud, Paul; Walulya, Ivan; Atalar, Aras (Research report; Forskningsrapport, 2014)
      This deliverable reports our early energy models for data structures and algorithms based on both micro-benchmarks and concurrent algorithms. It reports the early results of Task 2.1 on investigating and modeling the trade-off between energy and performance in concurrent data structures and algorithms, which forms the basis for the whole work package 2 (WP2). The work has been ...
    • The NOOP experimental Python programming environment 

      Andersen, Anders (Journal article; Tidsskriftartikkel, 2014)
      Python is a dynamic language well suited to build a run-time providing adaptive support to distributed applications. Python has dynamic typing where variables are given a type when they are assigned a value. To introduce type safety, interfaces, and a component model in Python NOOP introduces a type language and a way to apply typing to functions (and methods). This type system is described in the ...
    • Leveraging Mobile UX Principles for Nudges In Green Transportation 

      Solbakk, Mellet Ivvar (Master thesis; Mastergradsoppgave, 2020-08-17)
      Smart nudging has a goal to try to nudge users, these nudges are personally tailored for their specific situation and needs. In this thesis we will combine knowledge from Nudging and principles from user interface design and user experience research to increase the likelihood of the smart nudges to be as effective as possible.
    • Humanoid Robot handling Hand-Signs Recognition 

      Amberkar, Mayuresh (Master thesis; Mastergradsoppgave, 2020-08-16)
      Recent advancements in human-robot interaction have led to tremendous improvement for humanoid robots but still lacks social acceptance among people. Though verbal communication is the primary means of human-robot interaction, non-verbal communication that is proven to be an integral part of the human interactions is not widely used in humanoid robots. This thesis aims to achieve human-robot interaction ...
    • 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 ...
    • Information Collection Platform for Smart Nudging. A Microservice-Based Approach. 

      Hansen, Raymon Skjørten (Master thesis; Mastergradsoppgave, 2020-06-30)
      This thesis aims to explore the problem of integrating heterogeneous data sources into the Smart Nudge system. The Smart Nudge system is a system that produces personalised nudges that are contextually relevant to each user. The system relies on access to live data that could be constructed and presented in specific ways to influence users behaviour towards an agreed-upon goal. The goal is to ascertain ...
    • Multi-user application for recording physical activity on exercise bicycles for people with intellectual disabilities 

      Nilsen, Asgeir (Master thesis; Mastergradsoppgave, 2020-06-30)
      This thesis extends research into the application of an exergame for individuals with intellectual disabilities. Individuals with intellectual disabilities have a more sedentary lifestyle than the general population, and the need for regular physical activity is high. The World Health Organization recommends 150 minutes of physical activity each week. Exergames can contain elements that excite ...
    • 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 ...
    • A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism 

      Woldaregay, Ashenafi Zebene; Launonen, Ilkka Kalervo; Albers, David; Igual, Jorge; Årsand, Eirik; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-12)
      <i>Background</i>: Semisupervised and unsupervised anomaly detection methods have been widely used in various applications to detect anomalous objects from a given data set. Specifically, these methods are popular in the medical domain because of their suitability for applications where there is a lack of a sufficient data set for the other classes. Infection incidence often brings prolonged ...
    • Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review 

      Larbi, Dillys; Randine, Pietro; Årsand, Eirik; Antypas, Konstantinos; Bradway, Meghan; Gabarron, Elia (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-07-06)
      <i>Background</i>: There is growing evidence that apps and digital interventions have a positive impact on diabetes self-management. Standard self-management for patients with diabetes could therefore be supplemented by apps and digital interventions to increase patients’ skills. Several initiatives, models, and frameworks suggest how health apps and digital interventions could be evaluated, but ...
    • Reduce bandwidth in live-streaming by cooperative edge relay networks 

      Knudsen, Tor Seivaag (Master thesis; Mastergradsoppgave, 2020-06-30)
      Live-streaming and particular live video-streaming are becoming increasingly popular as a multimedia-service. More and more types of content and events are live-streamed. Live video-streaming has shown to be a useful tool in the case of pandemic outbursts such as Covid-19. As people should use social distancing, live video-streaming can give people the ability to simulate conventional social ...
    • Safe and secure outsourced computing with fully homomorphic encryption and trusted execution environments 

      Singh, Isak Sunde (Master thesis; Mastergradsoppgave, 2020-06-30)
      Increases in data production and growing demands for more computing power leads to the current trend of outsourcing data and computation services to cloud providers. With data breaches and cases of data misuse becoming increasingly common, there is a high demand for secure systems. This, however, conflicts with the current data trust models. A solution to this that is becoming more common is the use ...
    • Scalability of Distributed Version Control Systems 

      Murphy, Mike; Bjørndalen, John Markus; Anshus, Otto (Journal article; Tidsskriftartikkel, 2017-11-26)
      <p>Distributed version control systems are popular for storing source code, but they are notoriously ill suited for storing large binary files. <p>We report on the results from a set of experiments designed to characterize the behavior of some widely used distributed version control systems with respect to scaling. The experiments measured commit times and repository sizes when storing single files ...
    • μPyCSP - Two approaches to implementing CSP-like concurrency modeling in microcontrollers. 

      Johansen, Jon Helge Langaas (Master thesis; Mastergradsoppgave, 2020-06-30)
      In this thesis, we have explored the possibility of bringing CSP-like concurrency modeling to an embedded environment. With the growth of IoT and embedded software, many of the hardships that come with concurrent coding in an inherently event-driven environment become more apparent. Convoluted and complex code is often used to handle the many fallacies of concurrency. We are solving this problem by ...
    • Information collection for smart transportation nudges 

      Johnsen, Jacob (Master thesis; Mastergradsoppgave, 2020-06-25)
      Global climate change is becoming of increasing concern. Transportation makes up a large part of carbon gasses, which affects climate change and air quality. As transportation is a big part of carbon emissions, everybody can contribute to reducing emissions through transportation. One way for people to contribute is to start choosing greener transportation. Nuding is a tool that can be used to ...
    • A Robot System for Personalized Language Education. Implementation and evaluation of a language education system built on a robot 

      Dündar, Yigit Can (Master thesis; Mastergradsoppgave, 2020-06-29)
      As modern computer hardware becomes more affordable, the application areas of Artificial Intelligence (AI) expand and become more feasible to implement efficiently. This aspect opens up opportunities where AI robots can be used to support and improve many areas of human lives. One such area is education, and this thesis project combines AI and education to evaluate whether the results from that union ...
    • Data collection and combination for smart nudges in physical activity 

      Karlsen, Lars (Master thesis; Mastergradsoppgave, 2020-06-22)
      Denne masteroppgaven innhenter data fra forskjellige relevante kilder til fysisk aktivitet, og designer et smart nudging system. Oppgaven ser på hvordan dataen fra disse relevante kildene kan brukes av systemet til å påvirke adferden og motivasjonen til folk, så folk kan bli mere fysisk aktive.
    • Storing and representing smart nudges in a user profile 

      Mæland, Marius Johan (Master thesis; Mastergradsoppgave, 2020-06-19)
      Oppgaven handler om hvordan informasjon og struktur en bruker profil trenger for og og kunne lagre smart nudges, og bruke dette til og finne brukerens preferanser. Et design på brukerprofil er laget og dette designet er brukt for og implementere en brukerprofil som inneholder smart nudger.
    • The House of Carbs: Personalized Carbohydrate Dispenser for People with Diabetes 

      Randine, Pietro; Micucci, Daniela; Hartvigsen, Gunnar; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
      Patients with diabetes are often worried about having low blood glucose because of the unpleasant feeling and possible dangerous situations this can lead to. This can make patients consume more carbohydrates than necessary. Ad-hoc carbohydrate estimation and dosing by the patients can be unreliable and may produce unwanted periods of high blood glucose. In this paper we present a system that ...
    • Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development 

      Yeng, Prosper; Woldaregay, Ashenafi Zebene; Solvoll, Terje Geir; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-05-26)
      Background:The time lag in detecting disease outbreaks remains a threat to global health security. The advancement of technology has made health-related data and other indicator activities easily accessible for syndromic surveillance of various datasets. At the heart of disease surveillance lies the clustering algorithm, which groups data with similar characteristics (spatial, temporal, or both) to ...