In control engineering and structural dynamics, mathematical models such as the state-space representation, equation of motion, phase plane are matrix equations describing system equilibrium. This paper develops novel for linear/nonlinear dynamic analysis reinforced concrete (RC) buildings with cantilever elements lateral load resisting systems (e.g., RC shear wall, core). The offer a new appro...

BACKGROUND AND PURPOSE Distribution of lesions or involvement of specific anatomic sites can suggest the diagnosis of disease. The purpose of this study was to investigate what diseases affect both middle cerebellar peduncles (MCPs) and to evaluate other MR features for differential diagnosis. METHODS MR findings of 27 patients (14 male and 13 female; age range, 4-77 years [mean, 48.5 years])...

Peg solitaire is a one player game using pegs and a board with some holes. The game is classical, and nowadays sold in many parts of the world under the trade name of Hi-Q. In this paper, we dealt with the peg solitaire problem as an integer programming problem. We proposed algorithms based on the backtrack search method and relaxation methods for integer programming problem. The algorithms fir...

Since the last decade, XML has gained growing importance as a major means for information management, and has become inevitable for complex data representation. Due to an unprecedented increasing use of the XML standard, developing efficient techniques for comparing XML-based documents becomes crucial in information retrieval (IR) research. A range of algorithms for comparing hierarchically str...

This paper presents a representation theory for permutation-valued functions, which in their general form can also be called listwise ranking functions. Pointwise ranking functions assign a score to each object independently, without taking into account the other objects under consideration; whereas listwise loss functions evaluate the set of scores assigned to all objects as a whole. In many s...

A new approach to training a generalized Hopfield network is developed and evaluated in this work. Both the weight symmetricity constraint and the zero selfconnection constraint are removed from standard Hopfield networks. Training is accomplished with BackPropagation Through Time, using noisy versions of the memorized patterns. Training in this way is referred to as Noisy Associative Training ...

6D object pose estimation aims to infer the relative between and camera using a single image or multiple images. Most works have focused on predicting without associated uncertainty under occlusion structural ambiguity (symmetricity). However, these demand prior information about shape attributes, this condition is hardly satisfied in reality; even asymmetric objects may be symmetric viewpoint ...

A class of parameterized boolean, one-dimensional, biinfinite cellular autom at a has been st udied and t heir behavior observed when some param eters of the local funct ion are changed. T hese aut omata are equivalent to a par t icular class of boolean neural networks and t he change in t he parameters corresponds to a change in the symmetricity of t he connect ion matrix. T he purpo se is to ...