A Simple Model of Periodic Reproduction: Selection of Prime Periods

2019 ◽  
pp. 421-438
Author(s):  
Raul Abreu de Assis ◽  
Mazílio Coronel Malavazi
Keyword(s):  
Simple Model ◽  
Selection Of

Dynamic Characterization of Brushless DC Motors and Propellers for Flight Applications

2017 ◽  
Vol 05 (03) ◽  
pp. 159-167 ◽  
Author(s):  
Dominic Muzar ◽  
Eric Lanteigne ◽  
Justin McLeod
Keyword(s):  
Simple Model ◽  
Brushless Dc Motor ◽  
Dynamic Characterization ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Simple Motor ◽  
Aerial Vehicle ◽  
Selection Of

Although there exist a number of accurate unmanned aerial vehicle (UAV) thruster models, these models require the precise measurements of several motor and propeller characteristics. This paper presents a simple motor and propeller model that relies solely upon data provided by manufacturers. The model is validated by comparing theoretical motor and propeller behavior to experimental results obtained from thrust tests in a wind tunnel. The objective is to provide an accurate yet simple model to facilitate the selection of appropriate brushless DC motor and propeller combinations for flight applications.

scholarly journals Evolutionary Selection of Individual Expectations and Aggregate Outcomes in Asset Pricing Experiments

2012 ◽  
Vol 4 (4) ◽  
pp. 35-64 ◽  
Author(s):  
Mikhail Anufriev ◽  
Cars Hommes
Keyword(s):  
Asset Pricing ◽  
Simple Model ◽  
Predictive Power ◽  
Experimental Setting ◽  
Price Behavior ◽  
Switching Model ◽  
Evolutionary Selection ◽  
Out Of Sample ◽  
Monotonic Convergence ◽  
Selection Of

In recent “learning to forecast” experiments (Hommes et al. 2005), three different patterns in aggregate price behavior have been observed: slow monotonic convergence, permanent oscillations, and dampened fluctuations. We show that a simple model of individual learning can explain these different aggregate outcomes within the same experimental setting. The key idea is evolutionary selection among heterogeneous expectation rules, driven by their relative performance. The out-of-sample predictive power of our switching model is higher compared to the rational or other homogeneous expectations benchmarks. Our results show that heterogeneity in expectations is crucial to describe individual forecasting and aggregate price behavior. (JEL C53, C91, D83, D84, G12)

Evaluation of Tensile Strength of Multistrand Conductors—Part I: Theoretical Basis

1998 ◽  
Vol 120 (1) ◽  
pp. 33-38 ◽  
Author(s):  
J. Lanteigne ◽  
A. Akhtar
Keyword(s):  
Tensile Strength ◽  
Simple Model ◽  
Theoretical Basis ◽  
Rotation Angle ◽  
Tensile Loading ◽  
Total Elongation ◽  
Plastic Behavior ◽  
Permanent Set ◽  
Selection Of

A simple model was developed to predict the plastic behavior of a stranded conductor under tensile loading to fracture. Two cases are considered; the torque transmitted in the case of conductors with fixed extremities and the rotation angle in the case of free rotating conductors. The permanent set caused by bending and torsion during the stranding process associated with conductor fabrication was taken into consideration. The model predicts maximum failing load and total elongation, parameters currently used for design and selection of conductors.

Influence of detectability and ability to escape on natural selection of conspicuous autotomous defenses

1991 ◽  
Vol 69 (3) ◽  
pp. 757-764 ◽  
Author(s):  
William E. Cooper Jr. ◽  
Laurie J. Vitt
Keyword(s):  
Natural Selection ◽  
Simple Model ◽  
Conditional Probability ◽  
Body Part ◽  
Probability Of Detection ◽  
The Body ◽  
Body Parts ◽  
Lizard Species ◽  
Predator Prey ◽  
Selection Of

Antipredatory adaptations in which a predator's attack is diverted to body parts that may be sacrificed or are less vulnerable sometimes depend upon the conspicuousness of the body part attacked. The predator's attention is drawn to the emphasized part, which serves as a decoy. Such defenses appear paradoxical in that they increase the probability of detection. However, they simultaneously increase the probability of postdetectional escape enough to decrease the overall probability of being killed. Based on probabilities of detection and of escape following detection, a simple model predicts the conditions in which autotomy and related defenses are favored. For a conspicuous decoy, equilibrium values of the increases in probabilities of detection and of escape following detection are given. Data on the conditional probability of escape after detection are discussed for the scincid lizards Eumeces fasciatus and E. laticeps, which have brightly colored autotomous tails. Versions of the model that split the predator–prey encounter into several successive stages are outlined briefly and illustrated by the data for the two lizard species. Strategies for measuring the probabilities and testing the model's predictions are considered.

scholarly journals MODELS OF ADVERTISEMENT AND CLIENTS ATTENDANCE OF THE MARKET USING A FOURIER– SERIES APPROXIMATION

2012 ◽  
Vol 1 (4) ◽  
pp. 170
Author(s):  
Zhenya Karapetyan ◽  
Gohar Shakhparyan ◽  
Aram Arakelyan
Keyword(s):  
Fourier Series ◽  
Simple Model ◽  
Time Varying ◽  
Fourier Approximation ◽  
Principle Of Optimality ◽  
Fixed Price ◽  
Daily Data ◽  
Economic Time ◽  
Fourier Series Approximation ◽  
Selection Of

The analysis of advertising impact on the competitiveness and profit of the companies is given. The model of the companies, which agreed to implement product supplies with the same fixed price and have constant agreed expenditures, is considered. As the principle of optimality the company’s integral profit is studied. Fraction of the company’s expenditures elasticity profit is given. The paper develops a simple model for economic time – varying series presenting the data concerning number of the market attendances. The method of modeling uses a Fourier approximation to present series of the market attendances. The Fourier approximation allows for implementing of the selection of frequencies to be included in the model. It is shown that approach for the modeling provides approximation of the economic time – varying series with a form of nonlinearity. Using daily data over the period of 2008:3– 2011:3, we have developed a model showing the nonlinear time – varying dependence of the variable presenting sequence of the number of market attendances.

scholarly journals DECISION STRATEGIES AND COGNITIVE ADAPTATIONS TO ECOLOGY

2017 ◽  
Vol 50 (1) ◽  
pp. 93-108
Author(s):  
Jan Poleszczuk
Keyword(s):  
Simple Model ◽  
Decision Rules ◽  
Basic Structure ◽  
Adaptation Process ◽  
Perceptual Space ◽  
Decision Strategies ◽  
Process Identification ◽  
Ecological Conditions ◽  
Adaptive Rationality ◽  
Selection Of

Abstract In this paper, I discuss the concept of adaptive rationality. I present a simple model of ecology and the set of decision rules. The basic structure of the process of cognitive adaptation to ecology is described as a structure comprising (1) perceptual space, (2) a function valuating perceived items, (3) a set of available decision rules and (4) the adaptation process - identification and selection of the best strategies in given ecological conditions. The presented model of ecosystem allows a conclusion that completely opposite strategies may be compatible with the assumption of adaptive rationality.

A simple model for the selection of polymers with potentially interesting electrical properties

1989 ◽  
Vol 28 (1-2) ◽  
pp. 7-13
Author(s):  
Ingvar C. Lagerstedt ◽  
Olof Wennerström
Keyword(s):  
Simple Model ◽  
Electrical Properties ◽  
Selection Of

scholarly journals Medium effects on the selection of sequences folding into stable proteins in a simple model

2005 ◽  
Vol 72 (2) ◽  
Author(s):  
You-Quan Li ◽  
Yong-Yun Ji ◽  
Jun-Wen Mao ◽  
Xiao-Wei Tang
Keyword(s):  
Simple Model ◽  
Medium Effects ◽  
Selection Of

scholarly journals Maximizing the information learned from finite data selects a simple model

2018 ◽  
Vol 115 (8) ◽  
pp. 1760-1765 ◽  
Author(s):  
Henry H. Mattingly ◽  
Mark K. Transtrum ◽  
Michael C. Abbott ◽  
Benjamin B. Machta
Keyword(s):  
Simple Model ◽  
Mutual Information ◽  
Effective Theory ◽  
Sufficient Data ◽  
Limited Data ◽  
Jeffreys Prior ◽  
Effective Models ◽  
Bayesian Prior ◽  
Lower Dimensional ◽  
Selection Of

We use the language of uninformative Bayesian prior choice to study the selection of appropriately simple effective models. We advocate for the prior which maximizes the mutual information between parameters and predictions, learning as much as possible from limited data. When many parameters are poorly constrained by the available data, we find that this prior puts weight only on boundaries of the parameter space. Thus, it selects a lower-dimensional effective theory in a principled way, ignoring irrelevant parameter directions. In the limit where there are sufficient data to tightly constrain any number of parameters, this reduces to the Jeffreys prior. However, we argue that this limit is pathological when applied to the hyperribbon parameter manifolds generic in science, because it leads to dramatic dependence on effects invisible to experiment.

scholarly journals Investigation of surface roughness influence on hyperbolic metamaterial performance

2014 ◽  
Vol 3 (2) ◽  
pp. 6
Author(s):  
S. Kozik ◽  
M. A. Binhussain ◽  
A. Smirnov ◽  
N. Khilo ◽  
V. Agabekov
Keyword(s):  
Surface Roughness ◽  
Refractive Index ◽  
Composite Materials ◽  
Simple Model ◽  
Proper Selection ◽  
Hyperbolic Metamaterial ◽  
Computational Costs ◽  
Dielectric Layers ◽  
Dielectric Composite ◽  
Selection Of

The main goal of this work was to introduce simple model of surface roughness which does not involve objects with complicated shapes and could help to reduce computational costs. We described and proved numerically that the influence of surface roughness at the interfaces in metal-dielectric composite materials could be described by proper selection of refractive index of dielectric layers. Our calculations show that this model works for roughness with RMS value about 1 nm and below.

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