Department of Engineering Sciences: Nye registreringer
Viser treff 121-140 av 1119
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Determining the Optimal Number of Pistons for Offshore Digital Winch Drives
(Peer reviewed; Journal article, 2023)In offshore winch drive applications, determining the required number of pistons in digital displacement motors is critical for minimizing torque ripples. Digital displacement motors have shown promise for improving energy ... -
Active damage mitigation of the blade leading edge erosion for a wind turbine during rainfall events
(Peer reviewed; Journal article, 2023)Leading edge erosion (LEE) of wind turbine blades is a major concern for the wind turbine industry. LEE leads to increased blade surface roughness and incurs significant repair and maintenance costs. To address this issue, ... -
Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems
(Peer reviewed; Journal article, 2023)The reptile search algorithm is a newly developed optimization technique that can efficiently solve various optimization problems. However, while solving high-dimensional nonconvex optimization problems, the reptile search ... -
Life cycle cost analysis of a floating wind farm in the Norwegian Sea
(Peer reviewed; Journal article, 2023)The offshore wind energy industry has witnessed rapid growth in the past decade. Still, there is a lack of commercial floating wind projects due to the relatively high development costs and other factors. To facilitate the ... -
Development and Testing of an Individualized Sensorised 3D Printed Upper Limb Bicycle Prosthesis for Adult Patients
(Peer reviewed; Journal article, 2023)This paper presents the outcomes of investigations conducted on the development procedure of a personalized prosthetic device for an adult patient. The individualization is achieved through 3D scanning, followed by ... -
Experimental Evaluation of Extended Reality Technologies in the Development of Individualized Three-Dimensionally Printed Upper Limb Prostheses
(Peer reviewed; Journal article, 2023)This paper presents results from experimental studies that assess the utilization of virtual, augmented, and mixed reality (VR, AR, MR) at different stages of developing personalized 3D printed upper limb prostheses for ... -
Development and Studies of VR-Assisted Hand Therapy Using a Customized Biomechatronic 3D Printed Orthosis
(Peer reviewed; Journal article, 2023)This article presents the process of development, testing, and use of wrist–hand orthosis in the hand therapy of a teen patient with congenital paresis disease. A regular 3D-printed anatomically adjusted orthosis is modified ... -
Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model
(Peer reviewed; Journal article, 2023)Stress affects individual of all ages as a regular part of life, but excessive and chronic stress can lead to physical and mental health problems, decreased productivity, and reduced quality of life. By identifying stress ... -
Step towards secure and reliable smart grids in Industry 5.0: A federated learning assisted hybrid deep learning model for electricity theft detection using smart meters
(Peer reviewed; Journal article, 2023)The integration of Smart Grid technology and conceptual Industry 5.0 has paved the way for advanced energy management systems that enhance efficiency and revolutionized the parallel integration of power sources in a ... -
From Rigid to Hybrid/Soft Robots : Exploration of Ethical and Philosophical Aspects in Shifting from Caged Robots to Human-Robot Teaming
(Journal article; Peer reviewed, 2023)This paper delves into the ethical, philosophical, and practical dimensions associated with the transition from caged robots to human-robot teaming (HRT). By exploring the evolving dynamics between humans and robots, this ... -
Harnessing Digital Twins for Human-Robot Teaming in Industry 5.0 : Exploring the Ethical and Philosophical Implications
(Journal article; Peer reviewed, 2023)In the era of Industry 5.0, the convergence of humans and robots in collaborative work environments has brought forth the concept of digital twins (DTs) of humans and robots. These virtual replicas, mirroring their physical ... -
An Orchestration Framework for Digital Innovation: Lessons from the Healthcare Industry
(Peer reviewed; Journal article, 2022)The healthcare industry is continuously evolving with innovative discoveries and therapies, and at the same time, there is a decline in the research and development productivity leading to an increased cost for payers, ... -
A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models
(Peer reviewed; Journal article, 2023)This paper presents a novel methodology that utilizes gesture recognition data, which are collected with a Leap Motion Controller (LMC), in tandem with the Spotted Hyena-based Chimp Optimization Algorithm (SSC) for feature ... -
Robotics in Search and Rescue (SAR) Operations: An Ethical and Design Perspective Framework for Response Phase
(Peer reviewed; Journal article, 2023)Every year, especially in urban areas, the population density rises quickly. The effects of catastrophes (i.e., war, earthquake, fire, tsunami) on people are therefore significant and grave. Assisting the impacted people ... -
Direct and indirect short-term aggregated turbine- and farm-level wind power forecasts integrating several NWP sources
(Peer reviewed; Journal article, 2023)The wind power sector is experiencing rapid growth, which creates new challenges for its electricity grid integration. Accurate wind power forecasting (WPF) is crucial for trading, balancing, and dispatching wind energy. ... -
Inverse Kinematic Modelling of a 3-DOF Robotic Manipulator using Hybrid Deep Learning Models
(Peer reviewed; Journal article, 2023)As the degrees of freedom (DOF) for a manipulator rise, so does the complexity of inverse kinematic modeling. This research provides an inverse kinematic model mapped with the aid of a Multilayer Deep Neural Network (DNN) ... -
Characterization and treatment of tunneling wastewater using natural and chemical coagulants
(Peer reviewed; Journal article, 2023)Particles are a concern regarding tunneling wastewater, but gaps remain in understanding metal(loid)s content and coagulation efficiency. In this research, characterization of the wastewaters before and after treatment was ... -
Persona Design Methodology for Work-Commute Travel Behaviour Using Latent Class Cluster Analysis
(Peer reviewed; Journal article, 2023)The present study proposes a new methodology that combines quantitative and qualitative data for the generation of representative personas for commuters. The profiles can be used to better understand their travel behaviour ... -
Direction-Independent Human Activity Recognition Using a Distributed MIMO Radar System and Deep Learning
(Peer reviewed; Journal article, 2023)Modern monostatic radar-based human activity recognition (HAR) systems perform very well as long as the direction of human activities is either towards or away from the radar. The monostatic single-input single-output ... -
Gas-Atomized Nickel Silicide Powders Alloyed with Molybdenum, Cobalt, Titanium, Boron, and Vanadium for Additive Manufacturing
(Peer reviewed; Journal article, 2023)Nickel silicides (NiSi) are renowned for their ability to withstand high temperatures and resist oxidation and corrosion in challenging environments. As a result, these alloys have garnered interest for potential applications ...