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Institution

Polytechnic University of Catalonia

EducationBarcelona, Spain
About: Polytechnic University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Finite element method & Population. The organization has 16006 authors who have published 45325 publications receiving 949306 citations. The organization is also known as: UPC - BarcelonaTECH & Technical University of Catalonia.


Papers
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Journal ArticleDOI
TL;DR: IEEE 802.11ax, a new standard being developed by the IEEE802.11 Working Group, is introduced, which will enable efficient usage of spectrum along with an enhanced user experience within high density WLAN networks.
Abstract: The popularity of IEEE 802.11 based wireless local area networks (WLANs) has increased significantly in recent years because of their ability to provide increased mobility, flexibility, and ease of use, with reduced cost of installation and maintenance. This has resulted in massive WLAN deployment in geographically limited environments that encompass multiple overlapping basic service sets (OBSSs). In this article, we introduce IEEE 802.11ax, a new standard being developed by the IEEE 802.11 Working Group, which will enable efficient usage of spectrum along with an enhanced user experience. We expose advanced technological enhancements proposed to improve the efficiency within high density WLAN networks and explore the key challenges to the upcoming amendment.

158 citations

Journal ArticleDOI
TL;DR: The iSeg-2017 challenge provides a set of six-month infant subjects with manual labels for training and testing the participating methods, and among the 21 automatic segmentation methods participating, the eight top-ranked teams are reviewed, in terms of Dice ratio, modified Hausdorff distance, and average surface distance.
Abstract: Accurate segmentation of infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid is an indispensable foundation for early studying of brain growth patterns and morphological changes in neurodevelopmental disorders. Nevertheless, in the isointense phase (approximately 6–9 months of age), due to inherent myelination and maturation process, WM and GM exhibit similar levels of intensity in both T1-weighted and T2-weighted MR images, making tissue segmentation very challenging. Although many efforts were devoted to brain segmentation, only a few studies have focused on the segmentation of six-month infant brain images. With the idea of boosting methodological development in the community, iSeg-2017 challenge ( http://iseg2017.web.unc.edu ) provides a set of six-month infant subjects with manual labels for training and testing the participating methods. Among the 21 automatic segmentation methods participating in iSeg-2017, we review the eight top-ranked teams, in terms of Dice ratio, modified Hausdorff distance, and average surface distance, and introduce their pipelines, implementations, as well as source codes. We further discuss the limitations and possible future directions. We hope the dataset in iSeg-2017, and this paper could provide insights into methodological development for the community.

158 citations

Journal ArticleDOI
TL;DR: In this paper, a theoretical analysis was carried out to predict and explain the frequencies and amplitudes of the rotor stator interaction (RSI) in large pump turbines, and a corrective action is proposed as a result of the analysis and after it is carried out in one of the units, the vibration levels are reduced.
Abstract: The highest vibration levels in large pump turbines are, in general, originated in the rotor stator interaction (RSI). This vibration has specific characteristics that can be clearly observed in the frequency domain: harmonics of the moving blade passing frequency and a particular relationship among their amplitudes. It is valuable for the design and condition monitoring to count on these characteristics. A CFD model is an appropriate tool to determine the force and its characteristics. However, it is time consuming and needs highly qualified human resources while usually these results are needed immediately and in situ. Then, it is useful to determine these characteristics in a simple, quick, and accurate method. At present, the most suitable method indicates a large amount of possible harmonics to appear, without indicating the relative importance of them. This paper carries out a theoretical analysis to predict and explain in a qualitative way these frequencies and amplitudes. The theoretical analysis incorporates the number of blades, the number of guide vanes, the RSI nonuniform fluid force, and the sequence of interaction. This analysis is compared with the method currently in use, and both methods are applied to a practical case. The theoretical analysis gives a resulting force over the pump turbine, which corresponds well to the measured behavior of a pump turbine in terms of its frequencies and the relationship between their amplitudes. A corrective action is proposed as a result of the analysis and after it is carried out in one of the units, the vibration levels are reduced. The vibration induced by the RSI is predicted considering the sequence of interaction and different amplitudes in the interactions between the same moving blade and different stationary blades, giving a different and original interpretation about the source of the vibration characteristics. A successful corrective action is proposed as a consequence of this new interpretation.

158 citations

Journal ArticleDOI
TL;DR: The present work aims at providing an overview of the different approaches taken and identifying the most significant achievements in the field of fibre-reinforced calcium phosphate cements for clinical applications, with special focus on their mechanical properties.
Abstract: Calcium phosphate cements (CPC) consist of one or more calcium orthophosphate powders, which upon mixing with water or an aqueous solution, form a paste that is able to set and harden after being implanted within the body. Different issues remain still to be improved in CPC, such as their mechanical properties to more closely mimic those of natural bone, or their macroporosity to favour osteointegration of the artificial grafts. To this end, blends of CPC with polymer and ceramic fibres in different forms have been investigated. The present work aims at providing an overview of the different approaches taken and identifying the most significant achievements in the field of fibre-reinforced calcium phosphate cements for clinical applications, with special focus on their mechanical properties.

158 citations

Journal ArticleDOI
15 Jun 2015-Energy
TL;DR: This research compares the accuracy of different Machine Learning methodologies for the hourly energy forecasting in buildings and proposes a hybrid methodology that combines feature selection based on entropies with soft computing and machine learning approaches, i.e. Fuzzy Inductive Reasoning, Random Forest and Neural Networks.

158 citations


Authors

Showing all 16211 results

NameH-indexPapersCitations
Frede Blaabjerg1472161112017
Carlos M. Duarte132117386672
Ian F. Akyildiz11761299653
Josep M. Guerrero110119760890
David S. Wishart10852376652
O. C. Zienkiewicz10745571204
Maciej Lewenstein10493147362
Jordi Rello10369435994
Anil Kumar99212464825
Surendra P. Shah9971032832
Liang Wang98171845600
Aharon Gedanken9686138974
María Vallet-Regí9571141641
Bonaventura Clotet9478439004
Roberto Elosua9048154019
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023129
2022379
20212,313
20202,429
20192,427