Now showing items 1-20 of 267

    • Blockchain-Based Power Energy Trading Management 

      Wang, Hao; Ma, Shenglan; Guo, Chaonian; Wu, Yulei; Dai, Hong-Ning; Wu, Di (Peer reviewed; Journal article, 2021)
      Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise ...
    • Automatic production of patient adapted orthopaedic braces using 3D -modelling technology 

      Kleppe, Paul Steffen; Rekdalsbakken, Webjørn (Chapter, 2020)
      The research group in biomechanics at NTNU Aalesund works in close cooperation with the orthopaedic surgeons at Aalesund Hospital. One of the research activities has been to develop an automatic procedure for producing ...
    • A Conceptual Model Of An IOT-Based Smart And Sustainable Solid Waste Management System: A case Study Of A Norwegian Municipality 

      Nasar, Wajeeha; Karlsen, Anniken Th; Hameed, Ibrahim A. (Chapter, 2020)
      The core processes of waste management have been changed during the last few decades. Through advanced technologies, sensors, cameras, actuators, IoT controls, data driven and data transfer technologies, the old and ...
    • A survey on sentiment analysis in Urdu: A resource-poor language 

      Khattak, Asad; Zubair Asghar, Muhammad; Saeed, Anam; Hameed, Ibrahim A.; Asif Hassan, Syed; Ahmad, Shakeel (Peer reviewed; Journal article, 2020)
      Background/introduction The dawn of the internet opened the doors to the easy and widespread sharing of information on subject matters such as products, services, events and political opinions. While the volume of studies ...
    • Non-technical Loss Detection in Power Grid Using Information Retrieval approaches: A Comparative Study 

      Esmael, Agnaldo; Silva, Hugo; Ji, Tuo; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2021)
      Non-technical loss (NTL) detection is a persistent challenge for Distribution System Operators. Data-driven solutions have been widely used nowadays to analyze customers’ energy consumption and to identify suspicious fraud ...
    • Digitale helsetjenester: nye muligheter, nye utfordringer 

      Karlsen, Anniken Th; Sørbø, Marie Flem; Nylenna, Magne (Chapter, 2020)
      En aldrende befolkning, økning i kroniske og sammensatte lidelser og økt etterspørsel etter helse- og omsorgstjenester, fordrer nye tjenestetilbud. Mer bruk av datateknologi er åpenbart en del av løsningen. Økt brukermedvirkning ...
    • INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches 

      Pinciroli Vago, Nicolo' Oreste; Lavinas, Yuri; Rodrigues, Daniele; Moura, Felipe; Cunha, Sergio; Aranha, Claus; Torres, Ricardo Da Silva (Chapter, 2020)
      This paper introduces Interactive Graph Analyzer (INTEGRA), a tool to support the comparison of simulated football matches with real ones, through the analysis of dynamic graphs. Our tool supports coordinated views of ...
    • MobText: A Compact Method for Scene Text Localization 

      Decker, Luis; Pinto, Allan; Campana, Jose; Neira, Manuel; Santos, Andreza; Conceição, Jhonatas; Angeloni, Marcus; Li, Lin; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2020)
      Abstract: Multiple research initiatives have been reported to yield highly effective results for the text detection problem. However, most of those solutions are very costly, which hamper their use in several applications ...
    • Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation 

      Pinto, Allan; Cordova, Manuel; Decker, Luis; Campana, Jose; Souza, Marcos; Andreza, Santos; Jhonatas, Conceição; Gagliardi, Henrique; Luvizon, Diogo; Torres, Ricardo Da Silva; Pedrini, Helio (Chapter, 2020)
      Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for the development of modern solutions, such as virtual and augmented reality applications. ...
    • Ingeniørdannelse. Kva har danning i teknologifag å gjera? 

      Schaathun, Hans Georg (Peer reviewed; Journal article, 2020)
      Etter rammeplanen for ingeniørfag, er ingeniørdannelse ein viktig del av dataingeniørstudiet. Dette har vore eit utfordrande krav, for kva er eigentleg ingeniørdanning? Der er skrive mykje om danning innanfor didaktikk ...
    • Den tause kunnskapen i IT-studia 

      Schaathun, Hans Georg (Peer reviewed; Journal article, 2020)
      Michael Polanyi er kjend for omgrepet taus kunnskap. Han viste at me ofte veit meir enn me kan fortelja. Dette ser me tydleg i profesjonsstudia. Studentane treng ein praktisk kompetanse som førelesarane slit med å setja ...
    • A Survey on Machine Learning Techniques for Cyber Security in the Last Decade 

      Shaukat, Kamran; Luo, Suhuai; Varadharajan, Vijay; Hameed, Ibrahim A.; Xu, Min (Peer reviewed; Journal article, 2020)
      Pervasive growth and usage of the Internet and mobile applications have expanded cyberspace. The cyberspace has become more vulnerable to automated and prolonged cyberattacks. Cyber security techniques provide enhancements ...
    • Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio 

      Beltrame, Thomas; Gois, Mariana; Hoffmann, Uwe; Koschate, Jessica; Hughson, Richard; Frade, Maria; Linares, Stephanie; Torres, Ricardo Da Silva; Catai, Aparecida (Peer reviewed; Journal article, 2020)
      Efforts to better understand cardiorespiratory health are relevant for the future development of optimized physical activity programs. We aimed to explore the impact of the signal quality on the expected associations between ...
    • Web-based Scalable Visual Exploration of Large Multidimensional Data Using Human-in-the-Loop Edge Bundling in Parallel Coordinates 

      Cui, Wenqiang; Strazdins, Girts; Wang, Hao (Peer reviewed; Journal article, 2020)
      Visual clutter and overplotting are the main challenges for visualizing large multidimensional data in parallel coordinates, which greatly hampers the recognition of patterns in the data. Although many automatic clustering ...
    • Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency 

      Gribbestad, Magnus; Hassan, Muhammad Umair; Hameed, Ibrahim A.; Sundli, Kelvin (Peer reviewed; Journal article, 2021)
      Anomaly detection refers to detecting data points, events, or behaviour that do not comply with expected or normal behaviour. For example, a typical problem related to anomaly detection on an industrial level is having ...
    • A Comprehensive Study of HBase Storage Architecture—A Systematic Literature Review 

      Hassan, Muhammad Umair; Yaqoob, Irfan; Zulfiqar, Sidra; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2021)
      According to research, generally, 2.5 quintillion bytes of data are produced every day. About 90% of the world’s data has been produced in the last two years alone. The amount of data is increasing immensely. There is a ...
    • Vico: An entity-component-system based co-simulation framework 

      Hatledal, Lars Ivar; Chu, Yingguang; Styve, Arne; Zhang, Houxiang (Peer reviewed; Journal article, 2020)
      This paper introduces a novel co-simulation framework running on the Java Virtual Machine built on a software architecture known as the Entity-Component-System. Popularised by games, this architecture favours composition ...
    • What is Core and What Future Holds for Blockchain Technologies and Cryptocurrencies: A Bibliometric Analysis 

      Nasir, Adeel; Shaukat, Kamran; Khan, Kanwal Iqbal; Hameed, Ibrahim A.; Mahboob, Talha; Luo, Suhuai (Peer reviewed; Journal article, 2020)
      A new era awaits the development of cryptocurrency and blockchain technologies. This study highlights the influential and conceptual aspects of blockchain and cryptocurrency literature with bibliometric analysis. There are ...
    • Transfer Learning for Prognostics and Health Management (PHM) of Marine Air Compressors 

      Gribbestad, Magnus; Hassan, Muhammad Umair; Abdelfattah Abdelhameed, Ibrahim (Peer reviewed; Journal article, 2021)
      Prognostics is an engineering discipline focused on predicting the time at which a system or a component will no longer perform its intended function. Due to the requirements of system safety and reliability, the correct ...
    • Accuracy and limitations for spectroscopic prediction of leaf traits in seasonally dry tropical environments 

      Streher, Annia; Torres, Ricardo Da Silva; Leonor, Morellato; Thiago, Silva (Peer reviewed; Journal article, 2020)
      Generalized assessments of the accuracy of spectroscopic estimates of ecologically important leaf traits such as leaf mass per area (LMA) and leaf dry matter content (LDMC) are still lacking for most ecosystems, and ...