• Action Recognition in Real Homes using Low Resolution Depth Video Data 

      Casagrande, Flavia Dias; Nedrejord, Oda Olsen; Lee, Wonho; Zouganeli, Evi (Annual IEEE Symposium on Computer-Based Medical Systems;2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Conference object, 2019-08-05)
      We report work in progress from interdisciplinary research on Assisted Living Technology in smart homes for older adults with mild cognitive impairments or dementia. We present our field trial, the set-up for collecting ...
    • Analysis of Optical Brain Signals Using Connectivity Graph Networks 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (Lecture Notes in Computer Science;Volume 12279, Conference object, 2020-08-18)
      Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly nar-rowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a ...
    • Artificial cognitive functions towards AI-enabled collaborative robots 

      Zouganeli, Evi; Lentzas, Athanasios (Chapter; Conference object, 2023)
      In this paper we discuss work in progress and our approach to next generation robotics. The use of cognitive architectures can overcome some of the challenges encountered when Artificial In- telligence (AI) algorithms ...
    • Artificial Intelligence Based Approach for Predicting Fatigue Strength Using Composition and Process Parameters 

      Keprate, Arvind; Ratnayake Mudiyanselage, Chandima (International Conference on Offshore Mechanics and Arctic Engineering;Volume 3: Materials Technology, Conference object, 2020-12-18)
      Accurate prediction of the fatigue strength of steels is vital, due to the extremely high cost (and time) of fatigue testing and the often fatal consequences of fatigue failures. The work presented in this paper is an ...
    • CFD Simulations of Flow Jetting Impact and High Erosion Region in a Production Choke and its Downstream Spool 

      Keprate, Arvind; Bagalkot, Nikhil; perinpasivam, Agastian (Linköping Electronic Conference Proceedings;Proceedings of the 63rd International Conference of Scandinavian Simulation Society, SIMS 2022, Chapter; Peer reviewed; Conference object; Journal article, 2022)
      Erosion wear, a rather well-known problem in the petroleum and transport industry. Over the years there have been many different models suggested to estimate the erosion. Each model uses unique equations and is suited for ...
    • Cognitive Robotics - Towards the Development of Next-Generation Robotics and Intelligent Systems 

      Zouganeli, Evi; Lentzas, Athanasios (Chapter; Conference object, 2023)
      In this paper we make the case for cognitive robotics, that we consider a prerequisite for next generation systems. We give a brief account of current cognition-enabled systems, and viable cognitive architectures, discuss ...
    • Comparing Deep Learning Based Image Processing Techniques for Unsupervised Anomaly Detection in Offshore Wind Turbines 

      Keprate, Arvind; Sheikhi, Saeid; Siddiqui, Muhammad Salman (IEEE International Conference on Industrial Engineering and Engineering Management;, Chapter; Peer reviewed; Conference object, 2023)
      Offshore wind turbines (OWTs) play a crucial role in renewable energy generation, but their remote and harsh environments make them prone to various anomalies that can significantly affect their performance and reliability. ...
    • Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (International Joint Conference on Neural Networks (IJCNN); 2019 International Joint Conference on Neural Networks (IJCNN), Conference object, 2019-09-30)
      We present results and comparative analysis on the prediction of sensor events in a smart home environment with a limited number of binary sensors. We apply two probabilistic methods, namely Sequence Prediction via Enhanced ...
    • A Deep Learning Approach To Dead-Reckoning Navigation For Autonomous Underwater Vehicles With Limited Sensor Payloads 

      Saksvik, Ivar; Alcocer, Alex; Hassani, Vahid (OCEANS;OCEANS 2021: San Diego – Porto, Conference object, 2022)
      This paper presents a deep learning approach to aid dead-reckoning (DR) navigation using a limited sensor suite. A Recurrent Neural Network (RNN) was developed to predict the relative horizontal velocities of an Autonomous ...
    • Direct Numerical Simulations of Turbulent Flow in Helical Pipes 

      Lupi, V.; Örlü, Ramis; Schlatter, P. (ERCOFTAC Series;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Direct numerical simulations of the fully developed turbulent flow through helical pipes are performed. The numerical procedure is described, and a validation of the volume force driving the flow is presented. A comparison ...
    • Effects of compliant and structural parts in evolved modular robots 

      Norstein, Emma Stensby; Veenstra, Frank; Ellefsen, Kai Olav; Nygaard, Tønnes; Glette, Kyrre (Chapter; Peer reviewed; Conference object, 2023)
      A striking difference between animals and traditional robots is that the latter usually have rigid and non-flexible bodies. Animals, on the other hand, exhibit highly adapted traits, such as elastic tendons. The tendons ...
    • Enhancement of collaboration in the early stage of an interdisciplinary engineering and design project: mapping group dynamics 

      Risnes, Martha; Mellema, Mirjam; Pinto-Orellana, Marco Antonio; Sherkat, Habib (Engineering and Product Design Education (E&PDE);, Conference object, 2019)
      Health care systems are moving towards interdisciplinary patient-centred solutions. Team members can agree on high-level aspirations, but it does not imply that they will have conformity in specific objectives. Collaboration ...
    • Evaluation of a novel 3-pipe solution for hydronic heat distribution in passive-house standard apartment buildings 

      Lundblad, Jonathan; Andreassen, Nora; Olsen, Johanna; Chaudhuri, Arnab (SINTEF Proceedings;9, Conference object, 2021)
      The energy efficiency of new buildings in Norway has been steadily improved over the last decades, but with less heating, hydronic heating systems have adversely increased in price. Lessening electric power consumption in ...
    • Evolution of linkages for prototyping of linkage based robots 

      Norstein, Emma Stensby; Ellefsen, Kai Olav; Veenstra, Frank; Nygaard, Tønnes; Glette, Kyrre (IEEE Symposium Series on Computational Intelligence (SSCI);, Chapter; Peer reviewed; Conference object, 2023)
      Prototyping robotic systems is a time consuming process. Computer aided design, however, might speed up the process significantly. Quality-diversity evolutionary approaches optimise for novelty as well as performance, and ...
    • Ex-vivo Porcine Model for Generating an Internal Surface in Biological Subjects using 3D-GAN 

      de Medeiros Esper, Ian; Romanov, Dmytro; Korostynska, Olga; From, Pål Johan; Mason, Alex (Chapter; Peer reviewed; Conference object, 2022)
      Robotic automation in the medical industry is complex because of the biological nature of the processed materials and the risks to the patient. Everyone is different, which means that each individual has their own ...
    • Experimental Results for Pitch Damping in Speed and Wave for a Surface Effect Ship with Split Air Cushion 

      Hassani, Vahid; Auestad, Øyvind; Nataletti, Marco (Control Technology and Applications (CCTA);2020 IEEE Conference on Control Technology and Applications (CCTA), Conference object, 2020-09-28)
      This paper presents experimental results in damping the pitch motion on a Surface Effect Ship (SES) in high vessel speeds in presence of regular wave. The SES is a marine craft supported by pressurized air cushion. It ...
    • From Theory to Practice Leveraging Project Based Learning to Cultivate Student Engagement in Mechanical Engineering Education 

      Keprate, Arvind; Woodford, Sam; Borrajo, Rafael (IEEE International Conference on Industrial Engineering and Engineering Management;, Chapter; Peer reviewed; Conference object, 2024)
      This paper explores the transformative impact of Education 4.0 on learning experiences in the context of mechanical engineering education. Education 4.0 is an evolving paradigm that is student-centered, scalable, ...
    • Hydrodynamic parameter optimization for miniature underwater glider wings 

      Elkolali, Moustafa; Splawski, Wilfried; Carella, Alfredo; Alcocer, Alex (OCEANS;Global Oceans 2020: Singapore – U.S. Gulf Coast, Conference object, 2021)
      This paper describes the design and optimization of the shape of the wings of “OASYS” research project underwater glider, by maximizing the lift to drag ratio through using computational fluid dynamics. Different wing ...
    • In-Situ Analysis of Backflow Events and Their Relation to Separation in Wings Through Well-Resolved LES 

      Mallor, F.; Liu, J.; Peplinski, A.; Vinuesa, R.; Örlü, Ramis; Weinkauf, Tino; Schlatter, P. (ERCOFTAC (European Research Community on Flow, Turbulence and Combustion);, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Wall-bounded turbulent flows as those occurring in transportation (e.g. aviation) or industrial applications (e.g turbomachinery), are usually subjected to pressure gradients (PGs). The presence of such PGs affects greatly ...
    • Innovation in Holding Pluck of Pig Carcasses 

      Pincekova, Michaela; Cordova-Lopez, Luis Eduardo; Mason, Alex; Korostynska, Olga (Chapter; Peer reviewed; Conference object, 2022)
      Improving sustainability in the meat industry is an increasingly discussed topic. The RoBUTCHER project, which seeks to automate the processing of pig carcasses, also addresses this issue. This paper presents new types of ...