Blar i Scientific Publications in Engineering Sciences på tittel
Viser treff 180-199 av 698
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Diagnostic Accuracy and Usability of the ECG247 Smart Heart Sensor Compared to Conventional Holter Technology
(Peer reviewed; Journal article, 2021)Background. Heart rhythm disorders, especially atrial fibrillation (AF), are increasing global health challenges. Conventional diagnostic tools for assessment of rhythm disorders suffer from limited availability, limited ... -
Digital Escape Game and Students’ Learning Outcomes in Mathematics: Experience From Brunei
(Peer reviewed; Journal article, 2023)Educational stakeholders in Brunei are not exempted from the search for innovative instructional approaches as a tool to stem the tide of poor performance of students in mathematics. This study was designed to contribute ... -
Digital Servitization: Strategies for Handling Customization and Customer Interaction
(Chapter, 2021)This conceptual chapter utilizes extant servitization and digitalization theorization and discusses the impact of digital servitization on customization/standardization and customer interaction. The study argues that the ... -
Digital Twin as a Virtual Sensor for Wind Turbine Applications
(Peer reviewed; Journal article, 2023)Digital twins (DTs) have been implemented in various applications, including wind turbine generators (WTGs). They are used to create virtual replicas of physical turbines, which can be used to monitor and optimize their ... -
Digital Twin framework for automated fault source detection and prediction for comfort performance evaluation of existing non-residential Norwegian buildings
(Peer reviewed; Journal article, 2022)Numerous buildings fall short of expectations regarding occupant satisfaction, sustainability, or energy efficiency. In this paper, the performance of buildings in terms of occupant comfort is evaluated using a probabilistic ... -
A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics
(Peer reviewed; Journal article, 2022)The building industry consumes the most energy globally, making it a priority in energy efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the heart of buildings. Stable air handling ... -
Digital Twin Technology for Bridge Maintenance using 3D Laser Scanning: A Review
(Peer reviewed; Journal article, 2022)There has been a significant surge in the interest in adopting cutting-edge new technologies in the civil engineering industry in recent times that monitor the Internet of Things (IoT) data and control automation systems. ... -
Digital Twin technology toward more sustainable buildings
(Doctoral dissertations at University of Agder;nr. 440, Doctoral thesis, 2023)The integration of digital technologies in the form of sensor networks and automation systems has a significant impact on the Architecture, Engineering, and Construction- Facility Management (AEC-FM) industry in terms of ... -
Direct adaptive tracking control for a class of pure-feedback stochastic nonlinear systems based on fuzzy-approximation
(Peer reviewed; Journal article, 2014)The problem of fuzzy-based direct adaptive tracking control is considered for a class of pure-feedback stochastic nonlinear systems. During the controller design, fuzzy logic systems are used to approximate the packaged ... -
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. ... -
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 ... -
Discrete-time adaptive hysteresis filter for parallel computing and recursive identification of Preisach model
(Chapter; Peer reviewed, 2018) -
Discrete-time multioverlapping controller design for structural vibration control of tall buildings under seismic excitation
(Journal article; Peer reviewed, 2012)In this paper, a computationally effective strategy to obtain multioverlapping controllers via the Inclusion Principle is applied to design discrete-time state-feedback multioverlapping LQR con- trollers for seismic ... -
Dissipation in suspension system augmented by piezoelectric stack: port-Hamiltonian approach
(Chapter, 2020)Analysis of damping in semi-active and active suspension systems is prerequisite for an advanced control and, eventually, energy harvesting functions. This paper addresses the damping in suspension system augmented by the ... -
Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition
(Chapter; Peer reviewed, 2018) -
Distributed adaptive leader–follower and leaderless consensus control of a class of strict-feedback nonlinear systems : a unified approach
(Journal article; Peer reviewed, 2020) -
Distributed consensus for discrete-time directed networks of multi-agents with time-delays and random communication links
(Journal article; Peer reviewed, 2013)This paper is concerned with the leader-following consensus problem in mean-square for a class of discrete-time multiagent systems. The multiagent systems under consideration are the directed and contain arbitrary discrete ... -
Distributed multitarget probabilistic coverage control algorithm for wireless sensor networks
(Journal article; Peer reviewed, 2014)This paper is concerned with the problem of multitarget coverage based on probabilistic detection model. Coverage configuration is an effective method to alleviate the energy-limitation problem of sensors. Firstly, considering ... -
Downscaling and improving the wind forecasts from NWP for wind energy applications using support vector regression
(Journal article; Peer reviewed, 2020)