Browsing Institutt for IKT og realfag by Title

Now showing items 377-396 of 555

    • An Optimized IoT-Based Waste Collection and Transportation Solution: A Case Study of a Norwegian Municipality 

      Nasar, Wajeeha; Karlsen, Anniken Th; Abdelfattah Abdelhameed, Ibrahim; Dwivedi, Saumitra (Chapter, 2021)
      Smart and sustainable solid waste management systems (SWMS) are of major interest in the development of smart sustainable cities (SSC). Selective waste collection and transportation are known to be major expenditures of ...

    • Optimizing jointly mining decision and resource allocation in a MEC-enabled blockchain networks 

      Abdel-Basset, Mohamed; Mohamed, Reda; Hezam, Ibrahim M.; Sallam, Karam M.; Alshamrani, Ahmad M.; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2023)
      In this paper, several recently published metaheuristic algorithms are adapted to optimize the NP-hard problem of jointly mining decision and resource allocation in mobile edge computing (MEC) enabled blockchain networks ...

    • Organizational workplace relocation: assessment of facilities and real estate managers' practices 

      M. Ibrahim, Ahmed; A. hassanain, Mohammad (Peer reviewed; Journal article, 2021)
      Purpose This research investigates the literature and perspectives of bilateral domains of experts, the facilities management (FM) and real estate management (REM) professionals. It provides insights towards a comprehensive ...

    • Organizing data from industrial internet of things for maritime operations 

      Osen, Ottar; Wang, Hao; Hjelmervik, Karina Bakkeløkken; Schøyen, Halvor (Chapter, 2017)
      The enormous amount of data collected from different sources in an Industrial Internet of Things (IIoT) will have to be processed, analyzed, and visualized in a timely manner. In this paper, we present a strategy for ...

    • Overgang fra 11 kV til 22 kV i Ålesund og Volda 

      Nordstrand, Nikolai Støbakk; Gjerde, Thomas; Mupenda, Marien Numbi; Lade, Eirik Halbrend (Bachelor thesis, 2020)
      Norge beveger seg stadig mer mot et helelektrisk samfunn. Med mer last og flere høyeffekts komponenter kommer også utfordringer. Dette er grunner til at nettselskapene i Norge vil utbedre sitt strømnett, inklusive Mørenett ...

    • 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. ...

    • Parameterization of a Novel Nonlinear Estimator for Uncertain SISO Systems with Noise Scenario 

      Azar, Ahmad Taher; Abdul-Majeed, Farah Ayad; Majdi, Hasan Sh.; Hameed, Ibrahim A.; Kamal, Nashwa Ahmad; Jawad, Anwar Jaafar Mohamad; Abbas, Ali Hashim; Abdul-Adheem, Wameedh Riyadh; Ibraheem, Ibraheem Kasim (Peer reviewed; Journal article, 2022)
      Dynamic observers are commonly used in feedback loops to estimate the system’s states from available control inputs and measured outputs. The presence of measurement noise degrades the performance of the observer and ...

    • Particle filter vehicles tracking by fusing multiple features 

      Wang, Yu; Ban, Xiaojuan; Wang, Huan; Li, Xiaorui; Wang, Zixuan; Wu, Di; Yang, Yun; Liu, Sinuo (Peer reviewed; Journal article, 2019)
      Real-time and accurate vehicle tracking by Cameras and Surveillance can provide strong support for the acquisition and application of important traffic parameters, which is the basis of the traffic condition evaluation and ...

    • Path planning and collision avoidance for autonomous surface vehicles I: a review 

      Vagale, Anete; Oucheikh, Rachid; Bye, Robin Trulssen; Osen, Ottar Laurits; Fossen, Thor I. (Journal article; Peer reviewed, 2021)
      Autonomous surface vehicles are gaining increasing attention worldwide due to the potential benefits of improving safety and efficiency. This has raised the interest in developing methods for path planning that can reduce ...

    • Path planning for line marking robots using 2D Dubins' path 

      Hameed, Ibrahim (Chapter, 2017)
      This paper proposes a path planning algorithm based on 2D Dubins’ path for the construction of a curvature continuous trajectory for the autonomous guidance of line marking robots in football stadiums. The algorithm starts ...

    • Peephole - ASP.NET Information Security Teaching Tool 

      Vingen, Jens; Bratteberg, Ole-Martin; Eikrem, Per-Olav Sandnes (Bachelor thesis, 2016)
      With an ever increasing amount of information online, the need for secure web applications is becoming more and more important. A great way to learn is by practice. An up-to-date, easily extendible teaching tool for ASP.NET ...

    • Pelee-Text++: A Tiny Neural Network for Scene Text Detection 

      Cordova, Manuel; Pinto, Allan; Pedrini, Helio; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2020)
      Scene text detection has become an important field in the computer vision area due to the increasing number of applications. This is a very challenging problem as textual elements are commonly found in “noisy” and complex ...

    • Penalty feet positioning rule modification and laterality effect on soccer goalkeepers’ diving kinematics 

      Monteiro, Rafael Luiz Martins; Bedo, Bruno Luiz Souza; Monteiro, Pedro Henrique Martins; de Andrade, Felipe dos Santos Pinto; Moura, Felipe Arruda; Cunha, Sergio Augusto; Torres, Ricardo; Memmert, Daniel; Santiago, Paulo Roberto Pereira (Peer reviewed; Journal article, 2022)
      In 2019, a new rule was applied in soccer. It allows the goalkeeper to have only one foot or part of it on the goal line when the kicker hits the ball, unlike the previous rule that determined the goalkeeper should have ...

    • Perceiving the Narrative Style for Fake News Detection Using Deep Learning 

      Sun, Mengtao; Hameed, Ibrahim A.; Wang, Hao; Pasquine, Mark (Chapter, 2021)
      Existing deep-learning-based features have shown strong enough results (more than 90% accuracy) if a large amount of annotated data is available. However, in reality, data annotation is labor-intensive and expensive. This ...

    • Performance assessment of the built environment in healthcare facilities 

      H. Salaheldin, Mohammad; A. hassanain, Mohammad; B. Hamida, Mohammad; M. Ibrahim, Ahmed (Peer reviewed; Journal article, 2021)
      Purpose – This study presents findings of post-occupancy evaluation (POE), through a performance assessment, on a polyclinic, as a health-care facility, in Saudi Arabia. Design/methodology/approach – Review of the literature ...

    • Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity 

      Shaukat, Kamran; Luo, Suhuai; Varadharajan, Vijay; Hameed, Ibrahim A.; Chen, Shan; Liu, Dongxi; Li, Jiaming (Peer reviewed; Journal article, 2020)
      Cyberspace has become an indispensable factor for all areas of the modern world. The world is becoming more and more dependent on the internet for everyday living. The increasing dependency on the internet has also widened ...

    • Plant-Inspired Soft Growing Robots: A Control Approach Using Nonlinear Model Predictive Techniques 

      El-Hussieny, Haitham; Hameed, Ibrahim A.; Zaky, Ahmed B. (Peer reviewed; Journal article, 2023)
      Soft growing robots, which mimic the biological growth of plants, have demonstrated excellent performance in navigating tight and distant environments due to their flexibility and extendable lengths of several tens of ...

    • The PlastOPol system for marine litter monitoring by citizen scientists 

      Wu, Di; Liu, Jincheng; Cordova, Manuel; Hellevik, Christina Carrozzo; Cyvin, Jakob Bonnevie; Pinto, Allan; Hameed, Ibrahim A.; Pedrini, Helio; Da Silva Torres, Ricardo; Fet, Annik Magerholm (Peer reviewed; Journal article, 2023)
      Marine plastic pollution has in recent decades become ubiquitous, posing threats to flora, fauna, and potentially human health. Proper monitoring and registration of litter occurrences are, therefore, of paramount importance ...

    • PlastOPol: A Collaborative Data-driven Solution for Marine Litter Detection and Monitoring 

      Liu, Jincheng; Wu, Di; Hellevik, Christina Carrozzo; Wang, Hao (Chapter, 2023)
      Marine plastic pollution as a generally accepted global challenge has comprehensive impacts on our living environment. However, in practice, it is extremely difficult to monitor the severity of the problem based on the ...

    • A Platform for Autonomous Drone Swarms 

      Skrede, Aleksander Larsen (Master thesis, 2017)
      Search- and rescue operations requires participation from a lot of personnel, ranging from volunteers to non-governmental organizations and government agencies. Employing autonomous drone swarms for search can be useful ...