Formulation, Uniqueness, and Solution Strategies

The solution strategies of preschool children solving mental-rotation tasks were analyzed in two studies. In the first study n = 111 preschool children had to demonstrate their solution strategy in the Picture Rotation Test (PRT) items by thinking aloud; seven different strategies were identified. In the second study these strategies were confirmed by latent class analysis (LCA) with the PRT data of n = 565 preschool children. In addition, a close relationship was found between the solution strategy and children’s age. Results point to a stage model for the development of mental-rotation ability as measured by the PRT, going from inappropriate strategies like guessing or comparing details, to semiappropriate approaches like choosing the stimulus with the smallest angle discrepancy, to a holistic or analytic strategy. A latent transition analysis (LTA) revealed that the ability to mentally rotate objects can be influenced by training in the preschool age.

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Strategies to overcome barriers and to effectively achieve sustainable urban stormwater management: A review

10.31224/osf.io/mz47v ◽

2020 ◽

Author(s):

Anaí Floriano Vasconcelos ◽

Ademir Paceli Barbassa

Keyword(s):

Literature Review ◽

Stormwater Management ◽

Urban Sustainability ◽

The Other ◽

Urban Stormwater ◽

Urban Stormwater Management ◽

Solution Strategies ◽

Other Hand ◽

Common Barriers

Sustainable urban stormwater management (SUSM) is essential to urban sustainability. However, barriers to adopting it are observed even in places where SUSM is more widespread. Recent studies have evaluated strategies for overcoming some types of barriers. However, any study has systematically analyzed the strategies available for overcoming the most common barriers, contributing to widely adopting SUSM. Thus, this article aimed to provide a literature review on these strategies. Sixty-six documents were evaluated, resulting in eight solution strategies, detailed by 81 implementation measures, which were critically analyzed. The interrelationships among the solution strategies and their applicability to overcome the SUSM-related barriers were evaluated. This analysis showed that the solution strategies are interdependent, so it would be inefficient to adopt the strategies in isolation. On the other hand, adopting a strategy can help overcome several barriers, also enhancing other strategies, and consequently contributing to the global scenario of effective SUSM adoption. The availability of this systematized information helps break through common barriers and optimizing efforts to adopt SUSM where it is incipient.

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Linking teachers’ solution strategies to their performance on fraction word problems

Teaching and Teacher Education ◽

10.1016/j.tate.2021.103314 ◽

2021 ◽

Vol 101 ◽

pp. 103314

Author(s):

Yasemin Copur-Gencturk ◽

Tenzin Doleck

Keyword(s):

Word Problems ◽

Solution Strategies

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A Review of Common Faults and Solution Strategies for Mine Explosion-Proof Mobile Substations

2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI) ◽

10.1109/cvci51460.2020.9338648 ◽

2020 ◽

Author(s):

Hao Feng ◽

Haiwang Wang ◽

Weidong Lu ◽

Wenya Chen ◽

Jingzhong Wen ◽

...

Keyword(s):

Solution Strategies

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Selecting suitable solution strategies for Classes of graph coloring instances using data mining

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) ◽

10.1109/iciteed.2013.6676240 ◽

2013 ◽

Author(s):

Nur Insani ◽

Kate Smith-Miles ◽

Davaatseren Baatar

Keyword(s):

Data Mining ◽

Graph Coloring ◽

Solution Strategies ◽

Suitable Solution ◽

Using Data

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Gradient-Free Optimization in Thermoacoustics: Application to A Low-Order Model

10.1115/gt2021-58341 ◽

2021 ◽

Author(s):

Johann Moritz Reumschüssel ◽

Jakob G. R. von Saldern ◽

Yiqing Li ◽

Christian Oliver Paschereit ◽

Alessandro Orchini

Keyword(s):

Optimization Algorithms ◽

Optimization Methods ◽

Theoretical Studies ◽

Order Model ◽

Output Data ◽

Fuel Injectors ◽

Solution Strategies ◽

The Past ◽

Downhill Simplex ◽

Low Order

Abstract Machine learning and automatized routines for parameter optimization have experienced a surge in development in the past years, mostly caused by the increasing availability of computing capacity. Gradient-free optimization can avoid cumbersome theoretical studies as input parameters are purely adapted based on output data. As no knowledge about the objective function is provided to the algorithms, this approach might reveal unconventional solutions to complex problems that were out of scope of classical solution strategies. In this study, the potential of these optimization methods on thermoacoustic problems is examined. The optimization algorithms are applied to a generic low-order thermoacoustic can-combustor model with several fuel injectors at different locations. We use three optimization algorithms — the well established Downhill Simplex Method, the recently proposed Explorative Gradient Method, and an evolutionary algorithm — to find optimal fuel distributions across the fuel lines while maintaining the amount of consumed fuel constant. The objective is to have minimal pulsation amplitudes. We compare the results and efficiency of the gradient-free algorithms. Additionally, we employ model-based linear stability analysis to calculate the growth rates of the dominant thermoacoustic modes. This allows us to highlight general and thermoacoustic-specific features of the optimization methods and results. The findings of this study show the potential of gradient-free optimization methods on combustor design for tackling thermoacoustic problems, and motivate further research in this direction.

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