Results 201 to 210 of about 1,950,051 (253)
Some of the next articles are maybe not open access.
Multi Scale Optimization of Building Energy
2016This paper is an introduction to smart-energy buildings. It states the user-centric energy management problem and points out how optimization can yield useful feedbacks to occupants. It focuses on the modeling issues and on the different kinds of optimizations useful for providing daily support to occupants. An application example is presented.
S. Ploix
openaire +2 more sources
Probabilistic multi-scale optimization of hybrid laminated composites
Composite Structures, 2018Abstract This study presents a hierarchical multi-objective optimization over multiple scales of hybrid laminated composites. The fine-scale optimization problem is treated as a meso-level single-ply representative volume element (RVE) problem or lamina wherein the weave pattern is embedded in a matrix pocket. The weave pattern is the design variable
A.B. Ilyani Akmar, O. Kramer, T. Rabczuk
openaire +2 more sources
2004
Abstract Global optimization problems with so-called ‘rough’ or rugged objective function landscapes are studied. These problems often have many, many stationary points and show considerable differences between small and large-scale geometry. A novel multi-scale global optimization algorithm for solving ‘rough’ objective functions, based on the ...
Lucia, Angelo, DiMaggio, Peter A.
openaire +3 more sources
Abstract Global optimization problems with so-called ‘rough’ or rugged objective function landscapes are studied. These problems often have many, many stationary points and show considerable differences between small and large-scale geometry. A novel multi-scale global optimization algorithm for solving ‘rough’ objective functions, based on the ...
Lucia, Angelo, DiMaggio, Peter A.
openaire +3 more sources
Multi-scale Optimization for Advanced Energy Processes
2012Abstract Advanced energy systems demand powerful and systematic optimization strategies for analysis, high performance design and efficient operation. Such processes are modeled through a heterogeneous collection of device-scale and process scale models, which contain distributed and lumped parameter models of varying complexity.
L. Biegler, Yidong Lang
openaire +2 more sources
Multi-Scale Topology Optimization With Neural Network-Assisted Optimizer
Volume 2: 42nd Computers and Information in Engineering Conference (CIE), 2022Abstract High-resolution structural designs attracts researchers to multi-scale topology optimizations (TO) paradigms. With the advances of machine learning (ML) methods, the integration of ML with TO has been attempted in many works. However, most works employ ML in a data-driven paradigm, which requires abundant training data.
Sina Rastegarzadeh, Jun Wang, Jida Huang
openaire +1 more source
Multi-View Multi-Scale Optimization of Feature Representation for EEG Classification Improvement
IEEE transactions on neural systems and rehabilitation engineering, 2020Effectively extracting common space pattern (CSP) features from motor imagery (MI) EEG signals is often highly dependent on the filter band selection.
Yong Jiao +5 more
semanticscholar +1 more source
Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 2003
The coarse-to-fine search strategy is extensively used in current reported research. However, it has the same problem as any hill climbing algorithm, most importantly, it often finds local instead of global minima. Drawing upon the artificial intelligence literature, we applied an optimal graph search, namely A*, to the problem.
M.S. Lew, T.S. Huang
openaire +1 more source
The coarse-to-fine search strategy is extensively used in current reported research. However, it has the same problem as any hill climbing algorithm, most importantly, it often finds local instead of global minima. Drawing upon the artificial intelligence literature, we applied an optimal graph search, namely A*, to the problem.
M.S. Lew, T.S. Huang
openaire +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2022
Automatic building extraction from high-resolution remote sensing imagery has various applications, such as urban planning and land use management. However, existing methods for automatic building extraction focus on regional accuracy but not on boundary
Yuan-gui Zhou +6 more
semanticscholar +1 more source
Automatic building extraction from high-resolution remote sensing imagery has various applications, such as urban planning and land use management. However, existing methods for automatic building extraction focus on regional accuracy but not on boundary
Yuan-gui Zhou +6 more
semanticscholar +1 more source
IEEE Transactions on Vehicular Technology, 2022
Railway point machines (RPMs) is one of the most vital devices closely related to the efficiency and safety of train operation. Considering the advantages of contactlessness and easy-to-collect of sound signals, a novel sound-based fault diagnosis method
Yongkui Sun, Yuan Cao, Peng Li
semanticscholar +1 more source
Railway point machines (RPMs) is one of the most vital devices closely related to the efficiency and safety of train operation. Considering the advantages of contactlessness and easy-to-collect of sound signals, a novel sound-based fault diagnosis method
Yongkui Sun, Yuan Cao, Peng Li
semanticscholar +1 more source
Journal of Materials Chemistry A, 2022
The optimization of carbon-based multi-scale structures including morphology, crystallinity and doping functionality has been demonstrated effective in enhancing the anodic properties for sodium ion battery.
Dongyang Wu +6 more
semanticscholar +1 more source
The optimization of carbon-based multi-scale structures including morphology, crystallinity and doping functionality has been demonstrated effective in enhancing the anodic properties for sodium ion battery.
Dongyang Wu +6 more
semanticscholar +1 more source