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    • Quantified Soccer Using Positional Data: A Case Study 

      Pettersen, Svein Arne; Johansen, Håvard D.; Baptista, Ivan; Halvorsen, Pål; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-07-06)
      Performance development in international soccer is undergoing a silent revolution fueled by the rapidly increasing availability of athlete quantification data and advanced analytics. Objective performance data from teams and individual players are increasingly being collected automatically during practices and more recently also in matches after FIFA's 2015 approval of wearables in electronic ...
    • Flexible Devices for Arctic Ecosystems Observations 

      Michalik, Lukasz Sergiusz; Anshus, Otto; Bjørndalen, John Markus (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-11-26)
      <p>Devices for observing the environment range from basic sensor systems, like step-counters, through wild-life cameras, with limited processing capabilities, to more capable devices with significant processing, memory and storage resources. Individual usage domains can benefit from a range of functionalities in these devices including flexibility in prototyping, on- device analytics, network roaming, ...
    • Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables 

      Henriksen, André; Mikalsen, Martin Haugen; Woldaregay, Ashenafi Zebene; Muzny, Miroslav; Hartvigsen, Gunnar; Hopstock, Laila Arnesdatter; Grimsgaard, Sameline (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-03-22)
      Background: New fitness trackers and smartwatches are released to the consumer market every year. These devices are equipped with different sensors, algorithms, and accompanying mobile apps. With recent advances in mobile sensor technology, privately collected physical activity data can be used as an addition to existing methods for health data collection in research. Furthermore, data collected ...
    • Design and evaluation of a computer-based 24-Hour physical activity recall (cpar24) instrument 

      Kohler, Simone; Behrens, Gundula; Olden, Matthias; Baumeister, Sebastian E.; Horsch, Alexander; Fischer, Beate; Leitzmann, Michael F. (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-05-30)
      <p><i>Background</i>: Widespread access to the Internet and an increasing number of Internet users offers the opportunity of using Web-based recalls to collect detailed physical activity data in epidemiologic studies.</p> <p><i>Objective</i>: The aim of this investigation was to evaluate the validity and reliability of a computer-based 24-hour physical activity recall (cpar24) instrument with ...
    • Efficient disease detection in gastrointestinal videos – global features versus neural networks 

      Pogorelov, Konstantin; Riegler, Michael; Eskeland, Sigrun Losada; de Lange, Thomas; Johansen, Dag; Griwodz, Carsten; Schmidt, Peter Thelin; Halvorsen, Pål (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-07-19)
      Analysis of medical videos from the human gastrointestinal (GI) tract for detection and localization of abnormalities like lesions and diseases requires both high precision and recall. Additionally, it is important to support efficient, real-time processing for live feedback during (i) standard colonoscopies and (ii) scalability for massive population-based screening, which we conjecture can be done ...
    • The metagenomic data life-cycle: standards and best practices 

      Ten Hoopen, Petra; Finn, Robert D.; Bongo, Lars Ailo; Corre, Erwan; Fosso, Bruno; Meyer, Folker; Mitchell, Alex; Pelletier, Eric; Pesole, Graziano; Santamaria, Monica; Willassen, Nils Peder; Cochrane, Guy (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-08-01)
      Metagenomics data analyses from independent studies can only be compared if the analysis workflows are described in a harmonized way. In this overview, we have mapped the landscape of data standards available for the description of essential steps in metagenomics: (i) material sampling, (ii) material sequencing, (iii) data analysis, and (iv) data archiving and publishing. Taking examples from marine ...
    • Privacy preserving distributed computation of community health research data 

      Andersen, Anders; Saus, Merete (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-09-19)
      Research in community health introduces challenges regarding analysis of the research data. It involves multiple actors in a varity of arenas, and it is often directed towards the local community and children and their families. The legal, ethical and privacy issues involved introduce constraints upon the analysis performed. SNOOP combined with the D2Worm declarative modelling and infrastructure ...
    • Are health videos from hospitals, health organizations, and active users available to health consumers? An analysis of diabetes health video ranking in YouTube 

      Fernandez-Llatas, Carlos; Traver, Vicente; Morell, José Enrique Borrás; Martinez-Millana, Antonio; Karlsen, Randi (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-01-24)
      Health consumers are increasingly using the Internet to search for health information. The existence of overloaded, inaccurate, obsolete, or simply incorrect health information available on the Internet is a serious obstacle for finding relevant and good-quality data that actually helps patients. Search engines of multimedia Internet platforms are thought to help users to find relevant information ...
    • Dynamically loading mobile/cloud assemblies 

      Pettersen, Robert; Johansen, Håvard D.; Valvåg, Steffen Viken; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-07-20)
      Distributed applications that span mobile devices, computing clusters, and cloud services, require robust and flexible mechanisms for dynamically loading code. This paper describes lady: a system that augments the .net platform with a highly reliable mechanism for resolving and loading assemblies, and arranges for safe execution of partially trusted code. Key benefits of lady are the low latency and ...
    • Telemedicine Services for the Arctic: A systematic review 

      Woldaregay, Ashenafi Zebene; Walderhaug, Ståle; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-06-28)
      Background: Telemedicine services have been successfully used in areas where there are adequate infrastructures such as reliable power and communication lines. However, despite the increasing number of merchants and seafarers, maritime and Arctic telemedicine have had limited success. This might be linked with various factors such as lack of good infrastructure, lack of trained onboard personnel, ...
    • Using satellite execution to reduce latency for mobile/cloud applications 

      Pettersen, Robert; Valvåg, Steffen; Kvalnes, Åge Andre; Johansen, Dag (Peer reviewed; Journal article; Tidsskriftsartikkel, 2016-02-03)
      We demonstrate a practical way to reduce latency for mobile .NET applications that interact with cloud services, without disrupting application architectures. We provide a programming abstraction for location-independent code, which has the potential to execute either locally or at a satellite execution environment in the cloud, where other cloud services can be accessed with low latency. This ...
    • Gender differences in the association between grip strength and mortality in older adults: results from the KORA-age study 

      Arvandi, Marjan; Strasser, Barbara; Meisinger, Christa; Volaklis, Konstantinos; Gothe, Raffaella Matteucci; Siebert, Uwe; Ladwig, Karl Heinz; Grill, Eva; Horsch, Alexander; Laxy, Michael; Peters, Annette; Thorand, Barbara (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-11-30)
      Background: Reduced muscular strength in the old age is strongly related to activity impairment and mortality. However, studies evaluating the gender-specific association between muscularity and mortality among older adults are lacking. Thus, the objective of the present study was to examine gender differences in the association between muscular strength and mortality in a prospective population-based ...
    • GreenBST: Energy-efficient concurrent search tree 

      Umar, Ibrahim; Anshus, Otto; Ha, Hoai Phuong (Conference object; Konferansebidrag, 2016-08-09)
      Like other fundamental abstractions for energy-efficient com- puting, search trees need to support both high concurrency and fine- grained data locality. However, existing locality-aware search trees such as ones based on the van Emde Boas layout (vEB-based trees), poorly support concurrent (update) operations while existing highly-concurrent search trees such as the non-blocking binary search ...
    • On the performance and energy efficiency of the PGAS programming model on multicore architectures 

      Lagraviere, Jeremie Alexandre Emilien; Langguth, Johannes; Sourouri, Mohammed; Ha, Hoai Phuong; Cai, Xing (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-09-15)
    • Access control protocol with node privacy in wireless sensor networks 

      Kumar, Pardeep; Gurtov, Andrei; Iinatti, Jari; Sain, Mangal; Ha, Hoai Phuong (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-11-15)
      For preventing malicious nodes joining wireless sensor networks (WSNs), an access control mechanism is necessary for the trustworthy cooperation between the nodes. In addition to access control, recently, privacy has been an important topic regarding how to achieve privacy without disclosing the real identity of communicating entities in the WSNs. Based on elliptic curve cryptography, in this paper, ...
    • Secure and scalable statistical computation of questionnaire data in R 

      Yigzaw, Kassaye Yitbarek; Michalas, Antonis; Bellika, Johan Gustav (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-08-12)
      Collecting data via a questionnaire and analyzing them while preserving respondents' privacy may increase the number of respondents and the truthfulness of their responses. It may also reduce the systematic differences between respondents and non-respondents. In this paper, we propose a privacy- preserving method for collecting and analyzing survey responses using secure multi-party computation. The ...
    • Implementing and optimizing a Sparse Matrix-Vector Multiplication with UPC 

      Lagraviere, Jeremie Alexandre Emilien; Prugger, Martina; Einkemmer, Lukas; Langguth, Johannes; Ha, Hoai Phuong; Cai, Xing (Research report; Forskningsrapport, 2016)
      Programmability and performance-per-watt are the major challenges of the race to Exascale. In this study we focus on Partitioned Global Address Space (PGAS) languages, using UPC as a particular example. This category of parallel languages provides ease of programming as a strong advantage over the classic Message Passing Interface(MPI). PGAS has also advantages compared to classic shared memory ...
    • Enforcing Privacy Policies with Meta-Code 

      Johansen, Håvard; Birrell, Eleanor; Van Renesse, Robbert; Schneider, Fred B.; Stenhaug, Magnus; Johansen, Dag (Konferansebidrag; Conference object, 2015)
      This paper proposes a mechanism for expressing and enforcing security policies for shared data. Security policies are expressed as stateful meta-code operations; meta-code can express a broad class of policies, including access-based policies, use-based policies, obligations, and sticky policies with declassification. The meta-code is interposed in the filesystem access path to ensure policy ...
    • Lessons learned from 25 years with telemedicine in Northern Norway 

      Hartvigsen, Gunnar; Pedersen, Steinar (Book; Bok, 2015)