Enheten inneholder alle bidrag fra ansatte ved Avdeling for Informasjonsteknologi

Collections in this community

Recent Submissions

  • The Status of Business Intelligence in Small and Medium Size Enterprises in Norway 

    Fatima, Aqsa; Linnes, Cathrine (Journal article; Peer reviewed, 2019)
    Business intelligence has the potential to bring new opportunities to organizations. Dashboards, various reporting options, visualizations techniques, end-user self-service and data warehousing are entering society at an ...
  • The Current Status of Business Intelligence: A Systematic Literature Review 

    Fatima, Aqsa; Linnes, Cathrine (Journal article; Peer reviewed, 2019)
    Business intelligence has gained much attention the last few years and corporations has invested a lot of money in its operation to better prepare for the future. Studies show improvements in organizations performance both ...
  • Evaluating Population Based Training on Small Datasets 

    Tennebø, Frode; Geitle, Marius (Journal article; Peer reviewed, 2019-11-14)
    Recently, there has been an increased interest in using artificial neural networks in the severely resource-constrained devices found in Internet-of-Things networks, in order to perform actions learned from the raw sensor ...
  • Key Opportunities and Challenges of Data Migration in Cloud: Results from a Multivocal Literature Review 

    Iqbal, Arif; Colomo-Palacios, Ricardo (Journal article; Peer reviewed, 2019)
    Cloud data migration is the procedure of moving information, localhost applications, services, and data to the distributed cloud computing infrastructure. The success of this data migration process is depending on several ...
  • Participatory design as an approach for work-integrated learning of digital competences: putting theory into practice 

    Carcani, Klaudia; Gjellebæk, Camilla; Stigberg, Susanne Koch (Journal article; Peer reviewed, 2019-11-18)
    Technology is radically changing the healthcare sector. Introduction of technology demands new ways of providing healthcare services and the professionals will need new knowledge and competence to be able to do their job ...
  • T4SS Effector Protein Prediction with Deep Learning 

    Acici, Koray; Asuroglu, Tunc; Erdas, Cagatay Berke; Ogul, Hasan (Journal article; Peer reviewed, 2019-03-25)
    Extensive research has been carried out on bacterial secretion systems, as they can pass effector proteins directly into the cytoplasm of host cells. The correct prediction of type IV protein effectors secreted by T4SS is ...
  • An outlier detection method to improve gathered datasets for network behavior analysis in IoT 

    Shahraki, Amin; Haugen, Øystein (Journal article; Peer reviewed, 2019)
    Outlier detection is a subfield of data mining to determine data points that notably deviate from the rest of a dataset. Their deviation can indicate that these data points are generated by errors and should therefore be ...
  • Film Tourism in Norway: The Effect Fictional Characters Have on Tourism 

    Metcalf, Brian; Linnes, Cathrine; Agrusa, Jerome; Lema, Joseph (Journal article; Peer reviewed, 2018-03-27)
    The impact Walt Disney’s animated film Frozen is having on Disney’s bottom line and on tourism within Norway is highlighted. Although Frozen takes place in fictional Arendelle, movie producers incorporated Norwegian inspired ...
  • Data Mining in Film Tourism 

    Agrusa, Jerome; Linnes, Cathrine; Lema, Joseph; Metcalf, Brian (Journal article; Peer reviewed, 2018)
    The economic impact of film induced tourism is of great interest to governments,tourist authorities, local businesses as well as residents. Film tourismreveals a positive economic impact on a featured location. This ...
  • Hva arbeider tidligere IT-studenter ved Høgskolen i Østfold med, og hvor relevant har utdanningen deres vært for nåværende jobbsituasjon? 

    Bostrøm, Edgar; Garder, Helge Rohde; Næss, Magnus Olstad; Syversen, Øyvind; Veien, Per Christian (Journal article; Peer reviewed, 2018-09-18)
    Artikkelen beskriver resultatene fra en undersøkelse som er gjort våren 2017 blant IT-studentene som avsluttet ved Høgskolen i Østfold 2011-2016. Temaene som ble tatt opp omfattet • søkeprosessen/hvordan og hvor raskt ...
  • Governance, risk, and compliance in cloud scenarios 

    Brandis, Knud; Dzombeta, Srdan; Colomo-Palacios, Ricardo; Stantchev, Vladimir (Journal article; Peer reviewed, 2019-01-17)
    Cloud computing is changing the way organizations approach technology and its infrastructure. However, in spite of its attractiveness, cloud computing can be seen as a threat in terms of compliance. Given its intrinsic ...
  • A Big-Data based and process-oriented decision support system for traffic management 

    Vera-Baquero, Alejandro; Colomo-Palacios, Ricardo (Journal article; Peer reviewed, 2018-05-29)
    Data analysis and monitoring of road networks in terms of reliability and performance are valuable but hard to achieve, especially when the analytical information has to be available to decision makers on time. The gathering ...
  • HANDY: A benchmark dataset for context-awareness via wrist-worn motion sensors 

    Acici, Koray; Asuroglu, Tunc; Ogul, Hasan; Erdas, Cagatay Berke (Peer reviewed; Journal article, 2018-06-24)
    Being aware of a personal context is a promising task for various applications, such as biometry, human-computer interactions, telemonitoring, remote care, mobile marketing and security. The task can be formally defined ...
  • Security aspects in healthcare information systems: A systematic mapping 

    Fatima, Aqsa; Colomo-Palacios, Ricardo (Journal article; Peer reviewed, 2018)
    The security of patient’s data is the most overbearing barrier to access when considering the adoption of Healthcare Information Systems (HIS) in the healthcare industry. Recently, several studies were conducted to address ...
  • Enhancing engagement and participation of seniors in society with the use of social media - The case of a reflective participatory design method story 

    Carcani, Klaudia; Mörtberg, Christina (Journal article; Peer reviewed, 2018)
    An ageing population is an emerging phenomenon in Europe and the rest of the world. Seniors face issues of social isolation and loneliness. Recently the research focus in ICT design has also turned to social media that can ...
  • Forskningsrapport: Prosjekt Virtuell korttidsavdeling i Halden kommune 

    Gjellebæk, Camilla; Samuelsen, Finn; Winther, Rune (Oppdragsrapport (Høgskolen i Østfold);2019:1, Research report, 2019)
    Halden kommune startet i 2016 pilotprosjektet «Virtuell Korttidsavdeling» (VKA) i hjemmesykepleien, for å utvikle og teste velferdsteknologiske løsninger. Prosjektet er rettet mot hjemmeboende pasienter med behov for tett ...
  • Information security governance in big data environments: A systematic mapping 

    Saneei Moghadam, Reza; Colomo-Palacios, Ricardo (Journal article; Peer reviewed, 2018)
    Information security governance is an important aspects for all organizations. Given the crucial importance of IT systems and the increasing range of threats these systems are facing, there is an increasing interest on the ...
  • Cascading ISO/IEC 38500 based Balanced Score Cards to improve board accountability 

    Juiz, Carlos; Colomo-Palacios, Ricardo; Gómez, Beatriz (Journal article; Peer reviewed, 2018)
    On one hand, with the standardization of Information Technology (IT) governance through ISO/IEC 38500, in the last decade, a good number of organizations have implemented IT governance (ITG) frameworks, although it is not ...
  • Serverless computing: a multivocal literature review 

    Sadaqat, Mubashra; Colomo-Palacios, Ricardo; Knudsen, Lars Emil Skrimstad (Journal article; Peer reviewed, 2018)
    Serverless computing is a cloud computing execution model which enables developers to focus more on business logic rather than on infrastructure or maintenance of servers. This new paradigm has become a source of attraction ...
  • Energy consumption in big data environments – a systematic mapping study 

    Pettersen, Erlend; Colomo-Palacios, Ricardo (Journal article; Peer reviewed, 2018-09)
    Big Data is a term that describes a large volume of structured and unstructured data. Big Data must be acquired, stored, analyzed and visualized by means of non-conventional methods requiring normally a big set of resources, ...

View more