945 resultados para Matching-to-sample arbitrário


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Animal Cognition, V.6, pp. 259–267

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Para alguns teóricos, a ausência de controle sobre variáveis de procedimento tem gerado dificuldade em documentar formação de classes em sujeitos não-humanos ou humanos com desenvolvimento atrasado. O presente trabalho foi dividido em dois experimentos. O Experimento I teve como objetivo avaliar o uso combinado dos procedimentos de “reforçamento específico”, “variações de S-”, “blocos de tentativas gradualmente menores” e “omissão do S+ do bloco anterior no bloco seguinte” no treino de relações arbitrárias e teste de simetria. Foi utilizado como sujeito um macaco-prego macho jovem da espécie Cebus apella (Guga). O procedimento incluiu as seguintes fases: pré-treino; treino de discriminações simples; treino de discriminações condicionais arbitrárias (A1B1 e A2B2) e teste de simetria. Os resultados demonstram que Guga concluiu o treino de relações arbitrárias. O resultado do teste de simetria mostrou responder preciso para uma das relações testadas e em nível do acaso para a outra, com responder preciso para ambas as relações na primeira tentativa de teste. No Experimento II foram acrescentadas duas novas relações (A3B3, A4B4) às relações condicionais já treinadas (A1B1, A2B2). Os resultados do teste de simetria com as novas relações mostram responder preciso para uma delas e 75% de acerto para a outra. O presente estudo encoraja o desenvolvimento de procedimentos para reduzir incoerência de controle de estímulos e reforça a possibilidade de que variáveis de procedimento podem estar na base da dificuldade de documentar propriedades de classes de equivalência em organismos não-humanos.

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Iris based identity verification is highly reliable but it can also be subject to attacks. Pupil dilation or constriction stimulated by the application of drugs are examples of sample presentation security attacks which can lead to higher false rejection rates. Suspects on a watch list can potentially circumvent the iris based system using such methods. This paper investigates a new approach using multiple parts of the iris (instances) and multiple iris samples in a sequential decision fusion framework that can yield robust performance. Results are presented and compared with the standard full iris based approach for a number of iris degradations. An advantage of the proposed fusion scheme is that the trade-off between detection errors can be controlled by setting parameters such as the number of instances and the number of samples used in the system. The system can then be operated to match security threat levels. It is shown that for optimal values of these parameters, the fused system also has a lower total error rate.

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By sample specificity it is meant that specimens with the same nominal material parameters and tested under the same environmental conditions may exhibit different behavior with diversified strength. Such an effect has been widely observed in the testing of material failure and is usually attributed to the heterogeneity of material at the mesoscopic level. The degree with which mesoscopic heterogeneity affects macroscopic failure is still not clear. Recently, the problem has been examined by making use of statistical ensemble evolution of dynamical system and the mesoscopic stress re-distribution model (SRD). Sample specificity was observed for non-global mean stress field models, such as the duster mean field model, stress concentration at tip of microdamage, etc. Certain heterogeneity of microdamage could be sensitive to particular SRD leading to domino type of coalescence. Such an effect could start from the microdamage heterogeneity and then be magnified to other scale levels. This trans-scale sensitivity is the origin of sample specificity. The sample specificity leads to a failure probability Phi (N) with a transitional region 0 < (N) < 1, so that globally stable and catastrophic modes could co-exist. It is found that the scatter in strength can fit the Weibull distribution very well. Hence, the Weibull modulus is indicative of sample specificity. Numerical results obtained from the SRD for different non-global mean stress fields show that Weibull modulus increases with increasing sample span and influence region of microdamage.

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Identifying the spatial and temporal patterns of larval fish supply and settlement is a key step in understanding the connectivity of meta-populations (Sale et al., 2005). Because of the potentially dispersive nature of the pelagic larval phase of most reef fishes, tracking cohorts from hatching to settlement is extremely difficult (but see Jones et al., 1999). However, for many studies it is sufficient to sample larvae immediately before settlement. Many coral reef fish species use mangrove and seagrass beds as nursery habitats (Nagelkerken et al., 2001; Mumby et al., 2004) and larvae of these species must pass over the reef crest in order to arrive at their preferred settlement habitats. The ability to sample this new cohort of larval fishes provides opportunities for researchers to explore the intricacies of the transition from larva to juvenile (Searcy and Sponaugle, 2001). Quantifying the potential settlers also provides valuable information about the spatial and temporal supply of presettlement larvae (Victor, 1986). Therefore a number of larval sampling methods were developed, one of which is the use of crest nets (Dufour and Galzin, 1993).

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Recent experimental neutron diffraction data and ab initio molecular dynamics simulation of the ionic liquid dimethylimidazolium chloride ([dmim]Cl) have provided a structural description of the system at the molecular level. However, partial radial distribution functions calculated from the latter, when compared to previous classical simulation results, highlight some limitations in the structural description offered by force fieldbased simulations. With the availability of ab initio data it is possible to improve the classical description of [dmim]Cl by using the force matching approach, and the strategy for fitting complex force fields in their original functional form is discussed. A self-consistent optimization method for the generation of classical potentials of general functional form is presented and applied, and a force field that better reproduces the observed first principles forces is obtained. When used in simulation, it predicts structural data which reproduces more faithfully that observed in the ab initio studies. Some possible refinements to the technique, its application, and the general suitability of common potential energy functions used within many ionic liquid force fields are discussed.

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