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    • IRON-MAN: An Approach to Perform Temporal Motionless Analysis of Video Using CNN in MPSoC 

      Dey, Somdip; Singh, Amit Kumar; Prasad, Dilip K.; McDonald-Maier, Klaus Dieter (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-07-20)
      This paper proposes a novel human-inspired methodology called IRON-MAN (Integrated RatiONal prediction and Motionless ANalysis) for mobile multi-processor systems-on-chips (MPSoCs). The methodology integrates analysis of the previous image frames of the video to represent the analysis of the current frame in order to perform Temporal Motionless Analysis of the Video (TMAV). This is the first work ...

    • Experiences Building and Deploying Wireless Sensor Nodes for the Arctic Tundra 

      Murphy, Michael J.; Tveito, Øystein; Kleiven, Eivind Flittie; Rais, Issam; Soininen, Eeva M; Bjørndalen, John Markus; Anshus, Otto (Journal article; Tidsskriftartikkel, 2021-08-02)
      The arctic tundra is most sensitive to climate change. The change can be quantified from observations of the fauna, flora and weather conditions. To do observations at sufficient spatial and temporal resolution, ground-based observation nodes with sensors are needed. However, the arctic tundra is resource-limited with regards to energy, data networks, and humans. There are also regulatory and practical ...

    • Authentication and Authorization in Blind Data Miners 

      Myrland, Morten (Master thesis; Mastergradsoppgave, 2021-06-15)
      Chronic pain is defined as pain that lasts for at least 12 weeks. People with chronic pain conditions can have difficulties getting through daily tasks because the pain can limit their mobility, strength, and endurance. As of 2021, there is no universal treatment that works for all cases of chronic pain. A tool that can give personalized treatment alternatives for each patient can benefit this ...

    • Can a code snippet portal contribute to greater learning outcomes in other fields of science and technology? 

      Taha, Sidra (Master thesis; Mastergradsoppgave, 2021-06-08)
      In this project we developed a web portal for students and by students in order to be able to help each other understanding coding in the different subjects across fields of study. The web portal is implemented using HTML programming language and its templates, and running the front-end with flask web application framework. A database has been made for collecting and storing code snippets.

    • User Profiles Inferred from Smartphone Sensor/Context Data. How Features and Attributes Contribute to a Smart Nudge System 

      Bengtson, Håvard (Master thesis; Mastergradsoppgave, 2021-06-01)
      Oppgaven undersøker hvordan brukerprofiler funnet fra smartphone sensor/context data can bli bruk i et smart nudge system. Relevant forskning som omhandler bruker profilering fra smartphone sensor/context data blir beskrevet og brukt som argument for å lage et smart design basert på brukerprofiler funnet fra smartphone sensor/context data. Et system er implementert hvor bruker profiler blir funnet ...

    • Supporting Undo and Redo for Local-First Software. An Implementation in Automerge 

      Brattli, Eric (Master thesis; Mastergradsoppgave, 2021-06-01)
      With the advance of cloud computing and centralization of data, a new effort goes entirely in the other direction and aims for decentralization of data through local-first software. Collaborative applications created this way need strong undo and redo support to handle the inevitable mistakes that take place in a collaborative setting. Local-first software can be effectively built using Conflict-Free ...

    • 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 ...

    • Dynamic ePROM mobile application to improve diabetes consultations. Incorporating patient-gathered data into ePROMs 

      Aglen, Benjamin (Master thesis; Mastergradsoppgave, 2021-05-31)
      People with diabetes live a life of constant need to monitor and manage their illness. Unfortunately, a large number of people with diabetes suffer from diabetes-related distress and depression. A better diabetes consultation can directly impact the health of people with diabetes, both mentally and physically. In this thesis, healthcare practices that previous studies have reported lead to a ...

    • A group-based motivational mobile application for people with diabetes 

      Sjøhaug, Joakim (Mastergradsoppgave; Master thesis, 2021-06-08)
      \textit{Diabetes} is a disease defined by raised blood glucose levels, and people with the disorder have to adhere to a strict self-management regime to avoid short- and long-term complications. Today the World Health Organization reports that over 420 million people have diabetes, and the condition is one of the most common causes of death worldwide. This thesis presents the design and ...

    • Healthy Transportation Choices with IoT and Smart Nudging 

      Mehmood, Fazal (Mastergradsoppgave; Master thesis, 2021-06-01)
      Modern technology has provided people with ease of living but at the same time has given birth to the problems of equally modern nature. For instance, high reliance on private transportation has resulted in unintended consequences such as high level of air pollution and congestion in urban cities. Another main disadvantage that is often overlooked is related to the rise of several noncommunicable ...

    • Developing a Local-First Application with Automerge 

      Økland, Stian (Mastergradsoppgave; Master thesis, 2021-05-31)
      In modern time, cloud services have been the go-to approach to store information and documents, and cloud makes documents accessible for users and make it easier to manage items. Cloud is an excellent option to have when data need to be available, but what if collaboration is only needed a few times a week? Once a month? Or unstable connection leading to disconnection to the network? A solution is ...

    • Integrating Various Sensor Readings from MySignals into a Standalone Mobile Health App 

      Koirala, Madhu (Master thesis; Mastergradsoppgave, 2021-05-22)
      This project integrates various health parameters Temperature, Heart Rate, Pulse Rate, Blood Pressure, Respiration Rate, ECG, EMG, GSR, Spirometry values, Snore, Blood Sugar, Body Positions and Weight measured through wired and wireless sensors, into a standalone mobile health app. It shows Health Status of the user based on these parameters, and displays the values in different colors for normal ...

    • Investigating the effects of dynamic approximation methods on machine learning (ML) algorithms running on ML-specialized platforms 

      Haugen, Eirik (Master thesis; Mastergradsoppgave, 2021-05-15)
      This thesis discusses the application of optimizations to machine learning algorithms. In particular, we look at implementing these algorithms on specialized hardware, I.e. a Graphcore Intelligence Processing Unit, while also applying software optimizations that have been shown to improve performance of traditional workloads on general purpose CPUs. We discuss the feasibility of using these techniques ...

    • Opportunities for thermal energy storage in Longyearbyen 

      van Greevenbroek, Koen; Klein, Lars-Stephan (Research report; Forskningsrapport, 2021-07-02)
      Energy storage is needed in Longyearbyen to enable a transition to local renewable energy sources. As heating accounts for more than half the energy use in Longyearbyen, affordable large-scale thermal storage is a good option. We investigate the opportunities for hot water, molten salt and hot rocks storage systems using a techno-economic optimisation model for the Longyearbyen energy system.

    • Accountable Human Subject Research Data Processing using Lohpi 

      Sharma, Aakash; Bye Nilsen, Thomas; Brenna, Lars; Johansen, Dag; Johansen, Håvard D. (Conference object; Konferansebidrag, 2021-06)
      In human subject research, various data about the studied individuals are collected. Through re-identification and statistical inferences, this data can be exploited for interests other than the ones the subjects initially consented to. Such exploitation must be avoided to maintain trust with the researched population. We argue that keeping data-access policies up-to-date and building accountability ...

    • Engaging Social Media Users with Health Education and Physical Activity Promotion 

      Gabarron, Elia; Larbi, Dillys; Årsand, Eirik; Wynn, Rolf (Journal article; Tidsskriftartikkel; Peer reviewed, 2021)
      Health-dedicated groups on social media provide different contents and social support to their peers. Our objective is to analyze users’ engagement with health education and physical activity promotion posts according to the expressed social support and social media. All health education and physical activity promotion posts on Facebook, Twitter, and Instagram during 2017–2019 by a diabetes association ...

    • Highly efficient and scalable framework for high-speed super-resolution microscopy 

      Do, Quan; Acuña Maldonado, Sebastian Andres; Kristiansen, Jon Ivar; Agarwal, Krishna; Ha, Hoai Phuong (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-05)
      The multiple signal classification algorithm (MUSICAL) is a statistical super-resolution technique for wide-field fluorescence microscopy. Although MUSICAL has several advantages, such as its high resolution, its low computational performance has limited its exploitation. This paper aims to analyze the performance and scalability of MUSICAL for improving its low computational performance. We first ...

    • Behavioural change in green transportation: Micro-economics perspectives and optimization strategies 

      Bordin, Chiara; Tomasgard, Asgeir (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-06-22)
      The increasing demand for Electric Vehicle (EV) charging is putting pressure on the power grids and capacities of charging stations. This work focuses on how to use indirect control through price signals to level out the load curve in order to avoid the power consumption from exceeding these capacities. We propose mathematical programming models for the indirect control of EV charging that aim at ...

    • Preliminary Evaluation of a mHealth Coaching Conversational Artificial Intelligence for the Self-Care Management of People with Sickle-Cell Disease 

      Issom, David-Zacharie; Rochat, Jessica; Hartvigsen, Gunnar; Lovis, Christian (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
      Adherence to the complex set of recommended self-care practices among people with Sickle-Cell Disease (SCD) positively impacts health outcomes. However, few patients possess the required skills (i.e. disease-specific knowledge, adequate levels of self-efficacy). Consequently, adherence rates remain low and only 1% of patients are empowered enough to master the self-care practices. Health coaching ...

    • Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies 

      Sharma, Aakash; Nilsen, Thomas Bye; Czerwinska, Katja P; Onitiu, Daria; Brenna, Lars; Johansen, Dag; Johansen, Håvard D. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-13)
      Researchers and researched populations are actively involved in participatory epidemiology. Such studies collect many details about an individual. Recent developments in statistical inferences can lead to sensitive information leaks from seemingly insensitive data about individuals. Typical safeguarding mechanisms are vetted by ethics committees; however, the attack models are constantly evolving. ...