Neuromusculoskeletal disorders affecting walking ability are often difficult to manage, in part due to limited understanding of how a patient's lower extremity muscle excitations contribute to the patient's lower extremity joint moments. To assist in the study of these disorders, researchers have developed electromyography (EMG) driven neuromusculoskeletal models utilizing scaled generic muscul...

Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. HMM method is a natural and highly reliable way of recognition. In this paper, we have proposed a method of using moment invariants as features and HMM as recognition method in facial expression recognition. Sequences of four uni...

We establish the limiting distribution (in total variation) of the quasi posteriors based on moment conditions, which only partially identify the parameters of interest. Some examples are discussed. Some key words: Generalized method of moments, interval data, moment inequalities, partial identification, quasi-posterior, total variation. MSC2010 Classification Codes: 62F15, 62F99.

An approach to produce a model for the data generating distribution is the well-known maximum entropy method. In this approach, the partial knowledge about the data generating distribution is formulated in terms of a set of information constraints, usually moment constraints, and the inference is based on the model that maximizes Shannon’s entropy under these constraints. In this paper we inves...

Theory and experiment on the London moment is reviewed. A simple mathematical model is motivated and then used to study the responses of a spherical superconductor to an external field and to rotation. It reveals a connection between perfect diamagnetism (Meissner effect) and the London moment. In the model neither of these are exact but the deviation from B = 0 internal field in the former and...

Moments or cumulants have been traditionally used to characterize a probability distribution or an observed data set. Recently, L-moments and trimmed L-moments have been noticed as appealing alternatives to the conventional moments. This paper promotes the use of L-moments proposing new parametric families of distributions that can be estimated by the method of L-moments. The theoretical L-mome...

Problem statement: Template matching is a famous methodology that has a wide range of applications in image and signal processing. For a template and input image, template matching methodology finds the partial input image that is most closely matches the template image in terms of specific criterion such as the Euclidean distance or cross-correlation. Approach: In this study, a fast and robust...

We report first-principles calculations for Fe4Al11-x where 0 ≤ x ≤ 3 and for Fe4Al11-yZny for 0 ≤ y ≤ 1. We investigate the correlation of the magnetic and vibrational behavior with the density of states at the Fermi level. For Fe4Al11-x the magnitude of the magnetic moment correlates with the number of Fe in the chains. However we also find an intrinsic contribution to the magnetism associate...

We apply the mean-variance approach to analyze the risk-averse newsvendor problem with stockout cost. We first derive an explicit form and some new properties of the variance of the profit function. Then, under the assumption that demand follows the power distribution, and its special case the uniform distribution, we obtain the set of optimal ordering quantities. We also give a counterexample ...