Search results for "CONSTRUCTION"
showing 10 items of 2670 documents
A new project management approach for R&D software projects in the automotive industry - continuous V-model
2017
Most current work activities in R&D centres are innovative and dynamic, with project management acting as the discipline that governs them. The improvement of PM methods has become a necessity due to the following main factors: classical methodologies are increasingly difficult to apply, cutbacks in project duration are requested by organisations and customers, demands for product quality are continuously expanding. The paper examines how PM concepts are used in developed R&D projects, based on the V-model approach. It also introduces an enhanced new approach called Continuous V-model - CVM, based on agile concepts. The model has been applied on a real automotive R&D project and the resulte…
On using prototype reduction schemes to optimize locally linear reconstruction methods
2012
Authors version of an article published in the journal: Pattern Recognition. Also available from the publisher at: http://dx.doi.org/10.1016/j.patcog.2011.06.021 This paper concerns the use of prototype reduction schemes (PRS) to optimize the computations involved in typical k-nearest neighbor (k-NN) rules. These rules have been successfully used for decades in statistical pattern recognition (PR) [1,15] applications and are particularly effective for density estimation, classification, and regression because of the known error bounds that they possess. For a given data point of unknown identity, the k-NN possesses the phenomenon that it combines the information about the samples from a pri…
Frequency domain control based on quantitative feedback theory for vibration suppression in structures equipped with magnetorheological dampers
2009
This is an author-created, un-copyedited version of an article accepted for publication in Smart Materials and Structures. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher authenticated version is available online at http://dx.doi.org/10.1088/0964-1726/18/9/095041 This paper addresses the problem of designing quantitative feedback theory (QFT) based controllers for the vibration reduction in a structure equipped with an MR damper. In this way, the controller is designed in the frequency domain and the natural frequencies of the structure can be directly accounted for in the process. T…
Ethical realism before social constructionism
2021
In this article, I explore the idea that there is a fundamental ethical aspect that precedes social constructionism. I suggest that within social constructionism we can identify a development from seeing knowledge as socially constructed ( epistemological social constructionism) to seeing not only knowledge, but also corporeal ways of being as socially constructed ( ontological social constructionism). As a next step, I propose incorporating what I refer to as ethical realism in social constructionist perspectives. In the encounter with the other human being, I argue that there is a real ethical impulse that precedes social constructionism and puts it in motion. This impulse is real in the…
Drivers and barriers of circular economy business models: Where we are now, and where we are heading
2022
Literature on the circular economy business model (CEBM) has witnessed a sharp upsurge in recent years. Although scholars have investigated CEBM from several perspectives, including the green business model, waste management, digital technology, the supply chain, and the financial impact of CEBM, critical analysis of the extant literature has not attracted scholarly attention. The current systematic literature review (SLR) on CEBM is an attempt to critically analyse and appraise the prior findings by following robust research protocols. We analysed a pool of 126 studies to identify the thematic research areas, recognise the research gaps and present future research agendas. Subsequently, we…
Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines
2022
Industrial revolution 4.0 has enabled the advent of new technological advancements, including the introduction of information technology with physical devices. The implementation of information technology in industrial applications has helped streamline industrial processes and make them more cost-efficient. This combination of information technology and physical devices gave birth to smart devices, which opened up a new research area known as the Internet of Things (IoT). This has enabled researchers to help reduce downtime and maintenance costs by applying condition monitoring on electrical machines utilizing machine learning algorithms. Although the industry is trying to move from schedu…
Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor
2022
The efficiency of a fluidized bed reactor depends on the bed fluid dynamic behavior, which is significantly influenced by the bubble properties. This work investigates the bubble properties of a bubbling fluidized bed reactor using computational particle fluid dynamic (CPFD) simulations and electrical capacitance tomography (ECT) measurements. The two-dimensional images (along the reactor horizontal and vertical planes) of the fluidized bed are obtained from the CPFD simulations at different operating conditions. The CPFD model was developed in a commercial CPFD software Barracuda Virtual Reactor 20.0.1. The bubble behavior and bed fluidization behavior are characterized form the bubble pro…
Digital Twin of HVAC system (HVACDT) for multiobjective optimization of energy consumption and thermal comfort based on BIM framework with ANN-MOGA
2022
This study proposes a novel Digital Twin framework of heating, ventilation, and air conditioning (HVACDT) system to reduce energy consumption while increasing thermal comfort. The framework is developed to help the facility managers better understand the building operation to enhance the HVAC system function. The Digital Twin framework is based on Building Information Modelling (BIM) combined with a newly created plug-in to receive real-time sensor data as well as thermal comfort and optimization process through Matlab programming. In order to determine if the suggested framework is practical, data were collected from a Norwegian office building between August 2019 and October 2021 and used…
Intelligent estimation of wind farm performance with direct and indirect ‘point’ forecasting approaches integrating several NWP models
2022
Reliable wind power forecasting is essential for profitably trading wind energy in the electricity market and efficiently integrating wind-generated electricity into the power grids. In this paper, we propose short- and medium-term wind power forecasting systems targeted to the Nordic energy market, which integrate inputs on the wind flow conditions from three numerical weather prediction sources. A point forecasting scheme is adopted, which forecasts the power at the individual turbine level. Both direct and indirect forecasting approaches are considered and compared. An automated machine-learning pipeline, built and optimized using genetic programming, is implemented for developing the pr…
Thermo-piezo-rheological characterization of asphalt concrete
2022
The linear viscoelastic (LVE) properties of asphalt concrete is investigated in this paper using a controlled-strain triaxial dynamic modulus test over wide frequency, temperature, and confining pressure ranges. The time–temperature-pressure superposition principle (TTPSP) is applied to validate the thermo-piezo-rheological simplicity of the tested materials using triaxial master curves. The LVE response is found highly stress-dependent at intermediate and high temperatures. The Prony series modeling of time-domain properties ascertains that confining pressure strongly correlates with long-term relaxation modulus, the absolute maximum slope of the relaxation modulus, and viscoelastic damage…