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Label-free non-invasive classification of rice seeds using optical coherence tomography assisted with deep neural network
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-01-01)Identification of the seed varieties is essential in the quality control and high yield crop growth. The existing methods of varietal identification rely primarily on visual examination and DNA fingerprinting. Although the pattern of DNA fingerprinting allows precise classification of seed varieties but fraught with challenges such as low rate of polymorphism amongst closely related species, destructive ... -
Large Multiples : exploring the large-scale scattergun approach to visualization and analysis
(Master thesis; Mastergradsoppgave, 2014-05-15)We create 2.5 quintillion bytes of data every day. A whole 90% of the world’s data was created in the last two years.1 One contribution to this massive bulk of data is Twitter: Twitter users create 500 million tweets a day,2 which fact has greatly impacted social science [24] and journalism [39]. Network analysis is important in social science [6], but with so much data there is a real danger of ... -
The last hop of global notification delivery to mobile users. Matching preferences, context, and device constraints.
(Research report; Forskningsrapport, 2004)Events injected by publishers into a publish/subscribe system may reach users through a variety of devices: a stationary desktop, a laptop, a mobile phone, etc. We argue that the "last hop" -- from the network to the output device -- has unique properties, owing to the mobile nature of these devices, and as such demands special consideration. In particular, user's preferences and location may limit ... -
Latency Optimized Microservice Architecture for Privacy Preserving Computing
(Master thesis; Mastergradsoppgave, 2019-06-01)Recent developments in microservices architecture and building have lead to the advent of unikernels, a specialized operating system kernel coupled with, and executing only, a single application. This thesis presents PPCE a distributed system utilising a microservices architecture based on unikernels, created to enable privacy-preserving computing for users, classes of users, and more importantly; ... -
Láhttu-A system for Retrieval and Consolidation of Personsal Data from Activity-Tracking Web Services.
(Master thesis; Mastergradsoppgave, 2014-06-01)In recent years, self-tracking and recording ourself has become increasingly popular. A large ecosystem of interconnected online activity-tracking web services that record, store, analyse, and visualize personal data is evolving to provide useful services to end-users. However, these personal data can be scattered over multiple web-services, which makes it difficult for an individual to manage and ... -
Lessons learned from 25 years with telemedicine in Northern Norway
(Book; Bok, 2015) -
Leveraging Mobile UX Principles for Nudges In Green Transportation
(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. -
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
(Chapter; Bokkapittel, 2021-02-21)Deep Neural Networks (DNNs) have become the de-facto standard in computer vision, as well as in many other pattern recognition tasks. A key drawback of DNNs is that the training phase can be very computationally expensive. Organizations or individuals that cannot afford purchasing state-of-the-art hardware or tapping into cloud hosted infrastructures may face a long waiting time before the training ... -
Limelight: Real-Time Detection of Pump-and-Dump Events on Cryptocurrency Exchanges Using Deep Learning
(Master thesis; Mastergradsoppgave, 2019-06-01)Following the birth of cryptocurrencies back in 2008, internet investment platforms called exchanges were created to constellate these cryptocurrencies. Allowing investors to sell and buy assets equitable and agile over a single interface. Exchanges now have become popular and carry out over 99% of all daily transactions, totaling hundreds of millions of dollars. Despite that exchanges handling ... -
Local-First Relation Views
(Mastergradsoppgave; Master thesis, 2023-06-01)In today's digital landscape where cloud-oriented approaches are widespread and an integral part, local-first software emerges to offer an alternative. It addresses concerns such as data control, privacy, offline capabilities, collaboration, and performance. The open-source relational database engine SQLite is a fitting candidate for local-first software as it is not reliant on network connectivity. ... -
Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013-03-27) -
The Longcut Wide Area Network Emulator. Design and Evaluation
(Research report; Forskningsrapport, 2005)Experiments run on a Grid, consisting of clusters administered by multiple organizations connected by shared wide area networks (WANs), may not be reproducible. First, traffic on the WAN cannot be controlled. Second, allocating the same resources for subsequent experiments can be difficult. Longcut solves both problems by splitting a single cluster into several parts, and for each part having one ... -
Low-Cost Programmable Air Quality Sensor Kits in Science Education
(Chapter; Bokkapittel, 2018-02-21)We describe our citizen science approach and technologies designed to introduce students in upper secondary schools to computational thinking and engineering. Using an Arduino microcontroller and low-cost sensors we have developed the air:bit, a programmable sensor kit that students build and program to collect air quality data. In our course, students develop their own research questions regarding ... -
A low-cost set CRDT based on causal lengths
(Chapter; Bokkapittel, 2020-04)CRDTs, or Conflict-free Replicated Data Types, are data abstractions that guarantee convergence for replicated data. Set is one of the most fundamental and widely used data types. Existing general-purpose set CRDTs associate every element in the set with causal contexts as meta data. Manipulation of causal contexts can be complicated and costly. We present a new set CRDT, CLSet (causal-length set), ... -
A Low-Intensity Mobile Health Intervention With and Without Health Counseling for Persons With Type 2 Diabetes, Part 1: Baseline and Short-Term Results From a Randomized Controlled Trial in the Norwegian Part of RENEWING HEALTH
(Journal article; Tidsskriftartikkel; Peer reviewed, 2014-12-11) -
M-CDS: Mobile Carbohydrate Delivery System
(Mastergradsoppgave; Master thesis, 2023-06-20)When patients with type 1 diabetes (T1D) are physically active, they encounter an issue with keeping their blood glucose (BG) stable. Generally, their blood glucose level (BGL) will drop, causing hypoglycaemia which can have fatal consequences. The simple solution is to consume carbohydrates in the form of liquids or food, but during physical activities, it can be difficult to follow their BGL at ... -
M2S and CAIR. Image based information retrieval in mobile environments.
(Master thesis; Mastergradsoppgave, 2007-05-01)Images are commonly used on a daily basis for research, information and entertainment. The introduction of digital cameras and especially the incorporation of cameras in mobile phones makes people able to snap photos almost everywhere at any time since their mobile phone is almost always brought with them. The fast evolution in hardware enables users to store large image collection without high ... -
Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-05)Image retrieval has garnered a growing interest in recent times. The current approaches are either supervised or self-supervised. These methods do not exploit the benefits of hybrid learning using both supervision and self-supervision. We present a novel Master Assistant Buddy Network (MAB-Net) for image retrieval which incorporates both the learning mechanisms. MABNet consists of master and assistant ... -
Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-10-02)This paper investigates and discusses the current and future role of machine learning (ML) within the hydropower sector. An overview of the main applications of ML in the field of hydropower operations is presented to show the most common topics that have been addressed in the scientific literature in the last years. The objective is to provide recommendations for novel research directions that can ... -
Making your devices speak. Integration between Amazon Alexa and the Managed IoT Cloud
(Master thesis; Mastergradsoppgave, 2018-06-01)Speech recognition and communication between humans and machines are increasingly popular today. Several companies already have products in this market segment. The Managed IoT Cloud (MIC) platform is a complete ecosystem for management of Internet of Things (IOT) devices, data storage and analysis of data. However, the platform lacks an integration with a personal assistant to introduces ...
