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DCEP-Sim: An Open Simulation Framework for Distributed CEP: Introduction for Users and Prospective Developers 
Starks, Fabrice; Kristiansen, Stein; Plagemann, Thomas Peter (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Evaluation of Distributed Complex Event Processing (CEP) systems is a rather challenging task. To simplify this task, we developed the open simulation framework for Distributed CEP, called DCEP-Sim. The goal of this tutorial ...
Social big-data-based content dissemination in internet of vehicles 
Zhou, Zhenyu; Gao, Caixia; Xu, Chen; Zhang, Yan; Mumtaz, Shahid; Rodriguez, Jonathan (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
By analogy with Internet of things, Internet of vehicles (IoV) that enables ubiquitous information exchange and content sharing among vehicles with little or no human intervention is a key enabler for the intelligent ...
Co-exploring Interaction Opportunities for Enabling Technologies for People with Rheumatic Disorder 
Joshi, Suhas Govind; Valen, Jørgen (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
This paper presents a case of co-design for people with rheumatic disorder to support the argument of opening up the design space to include interaction opportunities found in the physical world. The position argued for ...
Supporting evidence-based decision making at the district level in India: A prototype for conducting spatial analysis in disease surveillance, based on the relationship between health events and facilities in the DHIS2 platform 
Østeng, Magnus Wajda (Master thesis / Masteroppgave, 2018)
The District Health Information systems 2 (DHIS2) is a highly flexible and customizable platform for building health management information systems, for many developing countries. The DHIS2, by being a platform, supports ...
A case study of digital innovation in the online advertising industry in Norway 
Hellerud, Jostein Bleken (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2018)
The online advertising market in Norway is dominated by big players such as Facebook and Google. In this thesis, we explore this situation and the challenges of the Norwegian advertising industry in the online advertising ...
A case study of digital innovation in the online advertising industry in Norway 
Hauglid, Karl Thomas (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2018)
The online advertising market in Norway is dominated by big players such as Facebook and Google. In this thesis, we explore this situation and the challenges of the Norwegian advertising industry in the online advertising ...
Automated feedback systems for Community Health Workers - A case study from Malawi 
Næss, Mathias (Master thesis / Masteroppgave, 2018)
Hello Friend 
Byhring, Øyvind (Master thesis / Masteroppgave, 2018)
Transition-oriented Futuring: Integrated Design for Decreased Consumption amongst Millennials 
Srivastava, Swati; Culén, Alma Leora (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
This paper is concerned with the problem of overconsumption and opportunities to create alternative marketplaces that could ease the transition towards less, and different ways of consuming in everyday life. We argue that ...
Program Verification for Exception Handling on Active Objects Using Futures 
Chang Din, Crystal; Schlatte, Rudolf; Chen, Tzu-Chun (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
For implementing correct systems, handling and recovering from exceptional situations is important but challenging for ensuring correct interactions among distributed objects which are processing concurrently. To focus on ...
Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network 
Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob; Tørresen, Jim (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
A significant problem of using deep learning techniques is the limited amount of data available for training. There are some datasets available for the popular problems like item recognition and classification or self-driving ...
Insights in evolutionary exploration of robot morphology spaces 
Miras, Karine; Gansekoele, Arwin; Glette, Kyrre; Eiben, AE (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
In a recent study we have encountered an unexpected result regarding the evolutionary exploration of robot morphology spaces. Specifically, we found that an algorithm driven by selection based on morphological novelty ...
A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog 
Rauniyar, Ashish; Hagos, Desta Haileselassie; Shrestha, Manish (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
With the advent of Internet of things (IoT) and cloud computing technologies, we are in the era of automation, device-to-device (D2D) and machine-to-machine (M2M) communications. Automated vehicles have recently gained a ...
Sample-Index Misassignment Impacts Tumour Exome Sequencing 
Vodak, Daniel; Lorenz, Susanne; Nakken, Sigve; Aasheim, Lars Birger; Holte, Harald; Bai, Baoyan; Myklebost, Ola; Meza, Leonardo Zepeda; Hovig, Eivind (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Sample pooling enabled by dedicated indexes is a common strategy for cost-effective and robust high-throughput sequencing. Index misassignment leading to mutual contamination between pooled samples has however been described ...
Software defined networking for energy harvesting internet of things 
Huang, Xumin; Yu, Rong; Kang, Jiawen; Xia, Zhuoquan; Zhang, Yan (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
Internet of Things (IoT) provides ubiquitous intelligence and pervasive interconnections to diverse physical objects. The overall network performance of existing IoT is restricted by limited network lifetime. Hence, energy ...
En undersøkelse av PRAM-modellen 
Larsen, Ingvild (Master thesis / Masteroppgave, 2018)
Vi undersøker om PRAM-modellen fra 1978 egner seg for å analysere kjøretiden til parallelle algoritmer på en generell, flerkjernet datamaskin med en tradisjonell arkitektur. Vi utfører teoretisk analyse av en håndfull ...
"What can I eat?" 
Lægreid, Lone (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2018)
Designing to support diabetes self-management in Mitchells Plain, South Africa
Engaging young adults in more conscious consumption 
Hansen, Veronica Wachek (Master thesis / Masteroppgave, 2018)
Design og innføring av informasjonsstøtte for fastleger 
Rognerud, Hanna (Master thesis / Masteroppgave, 2018)
Det er et stort fokus på velferdsteknologi i helse- og omsorgssektoren som gjør at vi stiller stadig høyere krav til løsningene og deres omfang. Rapporter publisert av Helsedirektoratet (2015b, 2016) viser at brukerne av ...
Observation of interactions between Design Patterns and Programming Languages 
Webjørnsen, Joshua (Master thesis / Masteroppgave, 2018)
Software design patterns are elaborate ways to deal with specific recurring issues in software development. They are re-usable templates, plans that can be applied in multiple situations to help, not only create more ...
Towards 5G Mobile Networks with OpenAirInterface5G Virtualization 
Dzogovic, Bruno (Master thesis / Masteroppgave, 2018)
An evaluation of SIFT feature matching strategies for CPU and GPU 
Parmer, Thomas Kaspar (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2018)
An evaluation of SIFT feature matching strategies for CPU and GPU 
Ravem, Torkil (Master thesis, Group thesis / Masteroppgave, Gruppeoppgave, 2018)
Modeling and simulation of spark streaming 
Lin, Jia-Chun; Lee, Ming-Chang; Yu, Ingrid Chieh; Johnsen, Einar Broch (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
As more and more devices connect to Internet of Things, unbounded streams of data will be generated, which have to be processed "on the fly" in order to trigger automated actions and deliver real-time services. Spark ...
Developing a distributed clustering algorithm to enable self-managing groups for 802.11 access points 
Nygårdshaug, Hans Jørgen Furre (Master thesis / Masteroppgave, 2018)
Co-channel interference is the most significant degrader of quality of service in 802.11 Wi-Fi in dense residential areas. The number of observed neighbouring networks can grow as large as 20-30 networks in a modern apartment ...
Human-supported robot work 
Oskarsen, Johanne Svanes (Master thesis / Masteroppgave, 2018)
This Master’s thesis describes two case studies of mobile delivery robots operating in hospitals by moving equipment and goods between depart- ments where human employees work. Through contextual interviews with employees ...
Experiencing and Creating Music through Tangible Music Exploration 
Källstrøm, Mathias Peder (Master thesis / Masteroppgave, 2018)
In this master thesis, I explore how the creation of music can be facilitated to encourage curiosity and exploration through tangible interaction. The objective was to see how we can create new and rich musical experiences ...
Implementation of an Object Recognition and Alignment Pipeline Restricted Access
Snellingen, Matias (Master thesis / Masteroppgave, 2018)
Matching a segment of an environment with a virtual 3D representation of the environment can help with inspecting buildings and constructions without manual measurements. This thesis focuses on the research and design of ...
NarrowBand IoT, Testing of early deployment 
Håkonsen, Henning (Master thesis / Masteroppgave, 2018)
Adapting Named Entity Recognition for the Conflict Research Domain 
Eikeland, Petter Kolbræk (Master thesis / Masteroppgave, 2018)
The purpose of this project is to adapt Named Entity Recognition (NER) to the conflict research domain. The conflict domain is represented by data from the Uppsala Conflict Data Program (UCDP). We want to build up the ...
Lightweight and flexible single-path congestion control coupling 
Islam, Safiqul; Welzl, Michael; Gjessing, Stein (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Communication between two Internet hosts using parallel connections may result in unwanted interference between the connections. In this dissertation, we propose a sender-side solution to address this problem by letting ...
ADMM-Based Distributed Auction Mechanism for Energy Hub Scheduling in Smart Buildings 
Zhong, Weifeng; Yang, Chao; Xie, Kan; Xie, Shengli; Zhang, Yan (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Energy hub integrates various energy conversion and storage technologies, which can yield complementarity among multiple energy and provide consumers with stable energy services, such as electricity, heating, and cooling. ...
Process Tailoring in Large-Scale Agile Programs 
Aasheim, Andreas (Master thesis / Masteroppgave, 2018)
Background: Teams in large-scale agile programs need to achieve collaborative software development. A proposed guide to collaboration is effective coordination. Large-scale agile software development is well accepted in ...
From colorectal cancer pattern to the characterization of individuals at risk: Picture for genetic research in Latin America 
Vaccaro, Carlos Alberto; López‐Kostner, Francisco; Della Valle, Adriana; Palmero, Edenir Inêz; Rossi, Benedito Mauro; Antelo, Marina; Solano, Angela; Carraro, Dirce Maria; Forones, Nora Manoukian; Bohorquez, Mabel; Lino‐Silva, Leonardo S.; Buleje, Jose; Spirandelli, Florencia; Abe‐Sandes, Kiyoko; Nascimento, Ivana; Sullcahuaman, Yasser; Sarroca, Carlos; Gonzalez, Maria Laura; Herrando, Alberto Ignacio; Alvarez, Karin; Neffa, Florencia; Galvão, Henrique Camposreis; Esperon, Patricia; Golubicki, Mariano; Cisterna, Daniel; Cardoso, Florencia C.; Torrezan, Giovana Tardin; Junior, Samuel Aguiar; Pimenta, Célia Aparecida Marques; Formiga, Maria Nirvana da Cruz; Santos, Erika; Sá, Caroline U.; Oliveira, Edite P.; Fujita, Ricardo; Spirandelli, Enrique; Jimenez, Geiner; Guindalini, Rodrigo Santa Cruz; de Azevedo, Renata Gondim Meira Velame; Bueno, Larissa Souza Mario; Nogueira, Sonia Tereza dos Santos; Loarte, Mariela Torres; Padron, Jorge; Castro‐Mujica, Maria del Carmen; del Monte, Julio Sanchez; Caballero, Carmelo; Peña, Carlos Mario Muñeton; Pinto, Joseph P.; Barletta‐Carrillo, Claudia; Melva, Gutiérrez Angulo; Piñero, Tamara Alejandra; Beltran, Paola Montenegro; Ashton‐Prolla, Patricia; Rodriguez, Yenni; Quispe, Richard; Rossi, Norma Teresa; Martin, Claudia; Chialina, Sergio; Kalfayan, Pablo German; Bazo‐Alvarez, Juan Carlos; Cañete, Alcides Recalde; Dominguez‐Barrera, Constantino; Nuñez, Lina; da Silva, Sabrina Daniela; Balavarca, Yesilda; Vernhoff, Patrik; Plazzer, John‐Paul; Møller, Pål; Hovig, Eivind; Dominguez-Valentin, Mev (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Colorectal cancer (CRC) is one of the most common cancers in Latin America and the Caribbean, with the highest rates reported for Uruguay, Brazil and Argentina. We provide a global snapshot of the CRC patterns, how screening ...
Prevalence of carotid plaque in a 63- to 65-Year-Old Norwegian cohort from the general population: The ACE (Akershus Cardiac Examination) 1950 study 
Ihle-Hansen, Håkon; Vigen, Thea; Ihle-Hansen, Hege; Rønning, Ole M.; Berge, Trygve; Thommessen, Bente; Lyngbakken, Magnus Nakrem; Orstad, Eivind Bjørkan; Enger, Steve; Nygård, Ståle; Røsjø, Helge; Tveit, Arnljot (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Background: New data on extracranial carotid atherosclerosis are needed, as improved ultrasound techniques may detect more atherosclerosis, the definition of plaque has changed over the years, and better cardiovascular ...
Energy Usage Forecasting for LTE: A Network-Wide Traffic Measurements Study 
Kure, Endre Hegland; Engelstad, Paal E.; Maharjan, Sabita; Gjessing, Stein; Zhang, Xing; Zhang, Yan (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Energy usage in LTE base stations are driven by spectral efficiency and traffic. To predict the energy usage these parameters must be forecasted. In this work we analyse hourly measurements collected from more than 12000 ...
HyVar: Scalable Hybrid Variability for Distributed Evolving Software Systems 
Røst, Thomas Brox; Seidl, Christoph; Yu, Ingrid Chieh; Damiani, Ferruccio; Johnsen, Einar Broch; Chesta, Cristina (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
The HyVar project (www.hyvar-project.eu/) proposes a development framework for continuous and individualized evolution of distributed software applications running on remote devices in heterogeneous environments, focusing ...
Chromatin organisation and cancer prognosis: a pan-cancer study 
Kleppe, Andreas; Albregtsen, Fritz; Vlatkovic, Ljiljana; Pradhan, Manohar; Nielsen, Birgitte; Hveem, Tarjei Sveinsgjerd; Askautrud, Hanne Arenberg; Kristensen, Gunnar S Balle; Nesbakken, Arild; Trovik, Jone; Wæhre, Haakon; Tomlinson, Ian; Shepherd, Neil A.; Novelli, Marco; Kerr, David J.; Danielsen, Håvard Emil (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Background Chromatin organisation affects gene expression and regional mutation frequencies and contributes to carcinogenesis. Aberrant organisation of DNA has been correlated with cancer prognosis in analyses of the ...
Coloc-stats: A unified web interface to perform colocalization analysis of genomic features 
Simovski, Boris; Kanduri, Srinivasa Kalyana Chakravarthi; Gundersen, Sveinung; Titov, Dmytro; Domanska, Diana Ewa; Bock, Christoph; Bossini-Castillo, Lara; Chikina, Maria; Favorov, Alexander; Layer, Ryan M.; Mironov, Alexandre A.; Quinlan, Aaron R.; Sheffield, Nathan C.; Trynka, Gosia; Sandve, Geir Kjetil (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Functional genomics assays produce sets of genomic regions as one of their main outputs. To biologically interpret such region-sets, researchers often use colocalization analysis, where the statistical significance of ...
Using coloured Petri nets for resource analysis of active objects 
Gkolfi, Anastasia; Johnsen, Einar Broch; Kristensen, Lars Michael; Yu, Ingrid Chieh (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
Pay-on-demand resource provisioning is an important driver for cloud computing. Virtualized resources in cloud computing open for resource awareness, such that applications may contain resource management strategies to ...
Energy-Efficient Admission of Delay-Sensitive Tasks for Mobile Edge Computing 
Lyu, Xinchen; Tian, Hui; Ni, Wei; Zhang, Yan; Zhang, Ping; Liu, Ren Ping (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
Task admission is critical to delay-sensitive applications in mobile edge computing, but is technically challenging due to its combinatorial mixed nature and consequently limited scalability. We propose an asymptotically ...
A Survey and Comparison on Overlay-Underlay Mapping Techniques in Peer-to-Peer Overlay Networks 
Ijaz, Humaira; Jameel, Bushra; Welzl, Michael (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
Peer‐to‐peer (P2P) overlay networks were developed initially for file sharing such as Napster and Gnutella; but later, they have become popular for content sharing, media streaming, telephony applications, etc. ...
An Executable Formal Framework for Safety-Critical Human Multitasking 
Broccia, Giovanna; Milazzo, Paolo; Ölveczky, Peter Csaba (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
When a person is concurrently interacting with different systems, the amount of cognitive resources required (cognitive load) could be too high and might prevent some tasks from being completed. When such human multitasking ...
Hyperparameter Optimization with Evolutionary Computing for Mental Health State Prediction 
Olstad, Marius Wilhelm (Master thesis / Masteroppgave, 2018)
Mental health is an important part of how we perceive our state of well-being. It is this state that help us tackle the positive and negative obstacles that life bring. When bad mental health becomes a problem, it can ...
Reappropriation of Generic Information Systems 
Svalestuen, Kjetil (Master thesis / Masteroppgave, 2018)
This thesis addresses the topic of how an information system can be used in another domain than that of its origin. Previous research has emphasized how some software packages are designed to work across different organizations ...
An Active Learning Perspective on Exploration in Reinforcement Learning 
Teigen, Bjørn Ivar (Master thesis / Masteroppgave, 2018)
Reinforcement learning is a research field concerned with automatically solving problems by trial and error. With each trial, a reinforcement learning agent extracts information about the problem. The agent can choose to ...
PT# - Package Templates in C#: Extending the Roslyn Full-Scale Production Compiler with New Language Features 
Isene, Eirik (Master thesis / Masteroppgave, 2018)
Design of an Open Catalogue System for Antique Portraits Restricted Access
Nilsen, Daniel Alexander Fermin (Master thesis / Masteroppgave, 2018)
Modular Transfer Learning in a Super Neural Network 
Hovin, Martin Jordal (Master thesis / Masteroppgave, 2018)
Institutionalizing Information Systems for Universal Health Coverage in Primary Health Care and the Need for New Forms of Institutional Work 
Sahay, Sundeep; Nielsen, Petter; Aanestad, Margunn (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Today, many countries around the world focus on ensuring that all people can access health services of sufficient quality without experiencing financial hardship (i.e., universal health coverage). To measure progress towards ...
Measuring the Signal Quality of Respiratory Effort Sensors for Sleep Apnea Monitoring: A Metric Based Approach Restricted Access
Løberg, Fredrik (Master thesis / Masteroppgave, 2018)
Sleep apnea is a very common, yet severely under-diagnosed disorder characterized by reoccurring periods of shallow or paused breathing during sleep. If a breathing disruption causes the oxygen saturation in the blood to ...
A modular reasoning system using uninterpreted predicates for code reuse 
Din, Crystal Chang; Johnsen, Einar Broch; Owe, Olaf; Yu, Ingrid Chieh (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
This paper proposes a modular proof system based on uninterpreted predicates. The proposed proof system allows modular reasoning about programs with an open-world assumption, which goes beyond behavioral subtyping. The ...
Privacy-Preserved pseudonym scheme for fog computing supported internet of vehicles 
Kang, Jiawen; Yu, Rong; Huang, Xumin; Zhang, Yan (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
As a promising branch of Internet of Things, Internet of Vehicles (IoV) is envisioned to serve as an essential data sensing and processing platform for intelligent transportation systems. In this paper, we aim to address ...
A secrecy-preserving language for distributed and object-oriented systems 
Ramezanifarkhani, Toktam; Owe, Olaf; Tokas, Shukun (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
In modern systems it is often necessary to distinguish between confidential (low-level) and non-confidential (high-level) information. Confidential information should be protected and not communicated or shared with low-level ...
Formal modeling and analysis of the walter transactional data store 
Liu, Si; Ölveczky, Peter Csaba; Wang, Qi; Meseguer, José (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
Walter is a distributed partially replicated data store providing Parallel Snapshot Isolation (PSI), an important consistency property that offers attractive performance while ensuring adequate guarantees for certain kinds ...
Getting a Grip on Musical Interaction - An exploratory study of embodied sound design through a grid-based system 
Aas, Preben Ødegård (Master thesis / Masteroppgave, 2018)
Hvordan endre IT-systemer fort men itte gæli Restricted Access
Windvik, Trine Dunker (Master thesis / Masteroppgave, 2018)
Developing for usability and user involvement in a low resource context 
Henie, Jonas Berg (Master thesis / Masteroppgave, 2018)
In a move to fight undernutrition, Rwanda's Ministry of Health has requested software for child growth follow-up over time. Improving the health status of the population is a priority, as undernutrition can cause permanent ...
Evaluating the User Experience and Usability of Virtual Reality Locomotion Techniques: An Empirical Comparison 
Cedergren, Jarl Erik (Master thesis / Masteroppgave, 2018)
Virtual reality technology has recently had a revival with new VR-hardware being introduced to the consumer market. This can be considered a turning point in the field as it has now become more accessible and affordable ...
Predictive songwriting with concatenative accompaniment 
Wallace, Benedikte (Master thesis / Masteroppgave, 2018)
Musicians often use tools such as loop-pedals and multitrack recorders to assist in improvisation and songwriting. While these devices are useful in creating new compositions from scratch, they do not contribute to the ...
Big Data Analytics for PV Systems Real-time Monitoring 
Liu, Lu (Master thesis / Masteroppgave, 2018)
Solar energy is one of the most influenceable renewable resources. Photovoltaic(PV) system is widely used in converting solar energy into electricity. Therefore, monitoring the working state of PV systems in real-time to ...
Classifying Collected Sensor Data for Mental Health Prediction using General, Personalized and Hybrid Machine Learning Models 
Kvernberg, Anders Kvalvik (Master thesis / Masteroppgave, 2018)
Mental health is a growing concern in today's society. Mental disorders such as bipolar disorder and depression affects one in four adults at some point in their life, and is one of the leading causes of disability. This ...
Rapid and Sensitive Alignment-free DNA Sequence Comparison 
Mjelva, Kristoffer (Master thesis / Masteroppgave, 2018)
When it comes to the analysis of biological sequences, alignment based methods have long been in the forefront for finding similarities between sequences, and in the classification of genetic sequences. Many of these methods ...
Research Through Design for Myalgic Encephalomyelitis 
Eide, Oda Sofie Dahl (Master thesis / Masteroppgave, 2018)
This master thesis explores how to make and use research products to mediate the state of the phenomenal body and generate new knowledge about their meaning for people with health challenges. Specifically, the thesis ...
Design for Awareness Restricted Access
Kloster, Pernille (Master thesis / Masteroppgave, 2018)
A Distributed Offloading Market for 5G Heterogeneous Networks 
Kure, Endre Hegland; Maharjan, Sabita; Gjessing, Stein; Zhang, Yan (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Concerns have been raised regarding the economical viability for each operator to have a full regional 5G coverage. A possible solution is to have traffic offloaded to competitors. In this work we present a new scheme for ...
We divide, you conquer: From large-scale ontology alignment to manageable subtasks with a lexical index and neural embeddings 
Jimenez-Ruiz, Ernesto; Agibetov, Asan; Samwald, Matthias; Cross, Valerie (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
ctrlTCP: Reducing latency through coupled, heterogeneous multi-flow TCP congestion control 
Islam, Safiqul; Welzl, Michael; Hiorth, Kristian Andreas; Hayes, David; Armitage, Grenville; Gjessing, Stein (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
We present ctrlTCP, a method to combine the congestion controls of multiple TCP connections. In contrast to the previous methods such as the Congestion Manager, ctrlTCP can couple all TCP flows that leave one sender, ...
NoReC: The Norwegian Review Corpus 
Velldal, Erik; Øvrelid, Lilja; Bergem, Eivind Alexander; Stadsnes, Cathrine; Touileb, Samia; Jørgensen, Fredrik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
This paper presents the Norwegian Review Corpus (NoReC), created for training and evaluating models for document-level sentiment analysis. The full-text reviews have been collected from major Norwegian news sources and ...
Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation 
Fares, Murhaf; Oepen, Stephan; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
In this paper, we empirically evaluate the utility of transfer and multi-task learning on a challenging semantic classification task: semantic interpretation of noun--noun compounds. Through a comprehensive series of ...
Innovating Assessment Practices Using Automated Feedback in Software in Computer Science Education 
Mirmotahari, Omid; Berg, Yngvar; Damsa, Crina I. (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
This study examines modalities of generating and providing automated formative feedback to Computer Science undergraduate students ’and their experiences with the system and the received feedback. A software for automated ...
Data Mining for Patient Friendly Apnea Detection 
Kristiansen, Stein; Sønsteby Hugaas, Mari; Goebel, Vera Hermine; Plagemann, Thomas Peter; Nikolaidis, Konstantinos; Liestøl, Knut (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Obstructive sleep apnea (OSA) is a common but severely under-diagnosed sleep disorder that affects the natural breathing cycle during sleep with the periods of reduced respiration or no airflow at all. It is our long-term ...
The ATLAS Data Management System Rucio: Supporting LHC Run-2 and beyond 
Barisits, M; Beermann, T; Garonne, Vincent; Javurek, T; Lassnig, M; Serfon, Cédric (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
With this contribution we present some recent developments made to Rucio, the data management system of the High-Energy Physics Experiment ATLAS. Already managing 300 Petabytes of both official and user data, Rucio has ...
Privacy at Home: An Inquiry into Sensors and Robots for the Stay at Home Elderly 
Schulz, Trenton Wade; Herstad, Jo; Holone, Harald (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
The elderly in the future will use smart house technology, sensors, and robots to stay at home longer. Privacy at home for these elderly is important. In this exploratory paper, we examine different understandings of privacy ...
Mutation burden and other molecular markers of prognosis in colorectal cancer treated with curative intent: results from the UASAR 2 clinical trial and an Australian community-based series 
Domingo, Enric; Camps, C; Kaisaki, Pamela J; Parsons, Marie J; Mouradov, Dmitri; Pentony, Melissa M; Makino, S; Palmieri, Michelle; Ward, Robyn L.; Hawkins, Nicholas J.; Gibbs, Peter; Askautrud, Hanne Arenberg; Oukrif, Dahmane; Wang, Haitao; Wood, J.; Tomlinson, E.; Bark, Yasmine; Kaur, Kulvinder; Johnstone, E.C.; Palles, Claire; Church, David N.; Novelli, Marco; Danielsen, Håvard Emil; Sherlock, Jon; Kerr, David; Kerr, Rachel; Sieber, Oliver; Taylor, JC; Tomlinson, Ian (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Background: Molecular indicators of colorectal cancer prognosis have been assessed in several studies, but most analyses have been restricted to a handful of markers. We aimed to identify prognostic biomarkers for colorectal ...
Enabling openness of valuable information resources: Curbing data subtractability and exclusion 
Vassilakopoulou, Polyxeni; Skorve, Espen; Aanestad, Margunn (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
In this paper we investigate how data openness can be made possible in communal settings. We adopt a utility perspective that foregrounds the use value of data, conceptualizing them as “goods.” On the basis of this ...
On Enhancing Visual Query Building over KGs Using Query Logs 
Klungre, Vidar Norstein; Soylu, Ahmet; Giese, Martin; Waaler, Arild; Kharlamov, Evgeny (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
Knowledge Graphs have recently gained a lot of attention and have been successfully applied in both academia and industry. Since KGs may be very large: they may contain millions of entities and triples relating them to ...
Unikernel Firewall Performance Evaluation: IncludeOS vs. Linux 
Tambs, Tobias (Master thesis / Masteroppgave, 2018)
In today's digital world cloud computing is key and it is growing. At the same time we are trying to maximize resource utilization. Running big, old general-purpose operating systems on virtual machines in the cloud is not ...
Investigating Relationship between temperature, power and CPU load incloud server 
Bhandari, Aviral (Master thesis / Masteroppgave, 2018)
Evaluating Loss and Latency Mitigation Techniques in a Tick-Based Game Server 
Tveterås, Eirik Rodvang (Master thesis / Masteroppgave, 2018)
Non-Invasive Benchmarking of Pulse Oximeters - An Empirical Approach 
Frisvold, Kenneth Aune (Master thesis / Masteroppgave, 2018)
A machine learning framework to predict phosphorylated class I epitopes: Implications for neoantigen discovery in cancer Restricted Access
Tande, Susanne Maria Moltubakk (Master thesis / Masteroppgave, 2018)
Post translational modifications (PTMs) are chemical modifications to proteins that regulate many protein functions. Recently, PTMs found on human leukocyte antigen (HLA) bound epitopes specific to cancer cells have become ...
The Empire Strikes Back: Exploring and Comparing Deep Learning for Image Classification with Other Methods 
Bakken, Edvard Johannesen (Master thesis / Masteroppgave, 2018)
Privacy at Home: An Inquiry into Sensors and Robots for the Stay at Home Elderly 
Schulz, Trenton Wade; Herstad, Jo; Holone, Harald (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
The elderly in the future will use smart house technology, sensors, and robots to stay at home longer. Privacy at home for these elderly is important. In this exploratory paper, we examine different understandings of privacy ...
Quantum Safe Cryptography Based on Hash Functions: A Survey 
Zych, Mateusz Dominik (Master thesis / Masteroppgave, 2018)
The use of public key cryptosystems range from securely encrypting emails and files to creating digital signatures for non-repudiation. The security of public key cryptosystems is based on computationally "unsolvable" ...
Beyond the Bike Lock A Gamified Application to Enhance User Motivation and Benefits of Retailers Restricted Access
Tahaei Khosroshahi, Parya Sadat (Master thesis / Masteroppgave, 2018)
Existing bicycle locks do not meet current security requirements. A bicycle is for many people a big investment that very often ends up like an inventory in the entrance, storage room, bedroom or living room. However, the ...
Russian Word Sense Induction by Clustering Averaged Word Embeddings 
Kutuzov, Andrei (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
The paper reports our participation in the shared task on word sense induction and disambiguation for the Russian language (RUSSE’2018). Our team was ranked 2nd for the wiki-wiki dataset (containing mostly homonyms) and ...
Forbedring av rask og jevn pasientflyt ved bruk av IT verktøy for koordinasjon hos sykehusets støttetjenester En case studie av renholdsprosesser på et norsk sykehus 
Falch, Vetle Arildsønn (Master thesis / Masteroppgave, 2018)
For å forhindre smitte på et sykehus er det viktig med gode hygieneforhold og dermed er det også viktig med gode rutiner på renholdet. For å minke sannsynligheten for smitte er det nødvendig å holde ulike områder så rene ...
Integrative analysis of DNA and RNA sequencing data from cancer 
Nordheim, Eirik Berg (Master thesis / Masteroppgave, 2018)
In this thesis we have explored the possibility that mutations occurring at DNA-level might coincide and even be the cause of particular gene fusions at the RNA-level, and have created methods of analysis, integrating both ...
Configuration of Network Parameters in Operating Systems using Machine Learning 
Gembala, Bartosz (Master thesis / Masteroppgave, 2018)
By default, the Linux network stack is not configured for high-speed large file transfer. The reason behind this is to merely save memory resources. We may tune the Linux network stack by increasing network buffers size ...
Walking Away from the Robot: Negotiating Privacy with a Robot 
Schulz, Trenton Wade; Herstad, Jo (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
Privacy is often applied as an abstract concept in law and regulations. In everyday life, negotiating what information to share with whom, where, and at what times, and in what situations may be a challenge at home and in ...
Moving with Style: Classifying Human and Robot Movement at Home 
Schulz, Trenton Wade; Herstad, Jo; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
A robot moving in the home is a new experience for most people. Classifying the different ways that humans and robots move together can help in designing interactions. In this paper, we first put robots’ movements into two ...
Efficient estimation of personalized biventricular mechanical function employing gradient‐based optimization 
Finsberg, Henrik Nicolay; Xi, Ce; Tan, Ju Le; Zhong, Liang; Genet, Martin; Sundnes, Joakim; Lee, Lik Chuan; Wall, Samuel T (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Individually personalized computational models of heart mechanics can be used to estimate important physiological and clinically‐relevant quantities that are difficult, if not impossible, to directly measure in the beating ...
Making Complex Ontologies End User Accessible via Ontology Projections 
Soylu, Ahmet; Kharlamov, Evgeny (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
Ontologies are a powerful mechanism to structure domains of interest. They have successfully been applied in medical domain, industry and other important areas. Despite the simplicity of ontological vocabularies that consist ...
Classifying Human and Robot Movement at Home and Implementing Robot Movement Using the Slow In, Slow Out Animation Principle 
Schulz, Trenton Wade; Herstad, Jo; Tørresen, Jim (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
We examine how robot movement can help human-robot interaction in the context of a robot helping people over 60-years old at home. Many people are not familiar with a robot moving in their home. We present four movement ...
Alternative splicing expands the prognostic impact of KRAS in microsatellite stable primary colorectal cancer 
Eilertsen, Ina Andrassy; Sveen, Anita; Strømme, Jonas Meier; Skotheim, Rolf I.; Nesbakken, Arild; Lothe, Ragnhild A (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
KRAS mutation is a well‐known marker for poor response to targeted treatment and patient prognosis in microsatellite stable (MSS) colorectal cancer (CRC). However, variation in clinical outcomes among patients wild‐type ...
Exploiting antigen receptor information to quantify index switching in single-cell transcriptome sequencing experiments 
Yao, Ying; Zia, Asima; Wyrozemski, Lukasz Adam; Lindeman, Ida; Sandve, Geir Kjetil; Qiao, Shuo Wang (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
By offering high sequencing speed and ultra-high-throughput at a low price, Illumina next-generation sequencing platforms have been widely adopted in recent years. However, an experiment with multiplexed library could be ...
RODI: Benchmarking Relational-to-Ontology Mapping Generation Quality 
Pinkel, Christoph; Binning, Carsten; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; May, Wolfgang; Nikolov, Andriy; Bastinos, Ana Sasa; Skjæveland, Martin G; Solimando, Alessandro; Taheriyan, Mohsen; Heupel, Christian; Horrocks, Ian (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
Accessing and utilizing enterprise or Web data that is scattered across multiple data sources is an important task for both applications and users. Ontology-based data integration, where an ontology mediates between the ...
Automatic Evaluation of Topic Modeling Restricted Access
Deng, Qiao (Master thesis / Masteroppgave, 2018)
In this thesis, we aim to find suitable automatic evaluation metrics for evaluating topic models in the Aftenposten news domain. We review and experiment with six evaluation metrics from previous research which are potentially ...
Hyperparameter optimization using Bayesian optimization on transfer learning for medical image classification 
Borgli, Rune Johan (Master thesis / Masteroppgave, 2018)
The field of medicine has a history of adopting new technology. Video equipment and sensors are used to visualize areas of interest in the human allowing for doctors to make diagnoses based on imagery observations. However, ...
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