In this paper we list some new orthogonal main e ects plans for three level designs for and factors in runs and compare them with designs obtained from the existing L orthogonal array We show that these new designs have better projection properties and can provide better parameter estimates for a range of possible models Additionally we study designs in other smaller run sizes when there are in...

An orthogonal double cover (ODC) of a complete graph is a collection of graphs such that every two of them share exactly one edge and every edge of the complete graph belongs to exactly two of the graphs. In this paper, we construct ODCs of Kn where all graphs are isomorphic to certain spanning subgraphs G (such as co-triangles, a star with cotriangles, and two other graph classes).

1 6 ] b y t h e a u t h o r s. T h i s a r t i c l e i s i n t e n d e d t o b e a c o u n t e r p a r t t o t h e a b s t r a c t t h e o r y o f

In order to produce any product with desired quality by machining, proper selection of process parameters is essential. This can be accomplished by Full Factorial method. The aim of the present work is to investigate the effect of process parameter on surface finish and material removal rate (MRR) to obtain the optimal setting of these process parameters and the analysis of variance is also use...

We have performed a shape optimization of the disc in an industrial double-eccentric butterfly valve using the effect analysis of design variables to enhance the valve performance. For the optimization, we select three performance quantities such as pressure drop, maximum stress, and mass (weight) as the responses and three dimensions regarding the disc shape as the design variables. Subsequent...

Scope and Purpose : In this paper, a new technique for solving a multivariate linear model using the orthogonal least absolute values regression is proposed. The orthogonal least absolute values (ORLAV) regression minimises the sum of the absolute, orthogonal distance from each data point to the resulting regression hyperplane. In a large set of equations where the variables are independent of ...

Two types of results are presented for distinguishing pure bipartite quantum states using Local Operations and Classical Communications. We examine sets of states that can be perfectly distinguished, in particular showing that any three orthogonal maximally entangled states in C3⊗C3 form such a set. In cases where orthogonal states cannot be distinguished, we obtain upper bounds for the probabi...

We generalize the notion of orthogonal latin squares to colorings of simple graphs. Two n-colorings of a graph are said to be orthogonal if whenever two vertices share a color in one coloring they have distinct colors in the other coloring. We show that the usual bounds on the maximum size of a certain set of orthogonal latin structures such as latin squares, row latin squares, equi-n squares, ...

− Several pattern recognition applications use orthogonal moments to capture independent shape characteristics of an image, with minimum amount of information redundancy in a feature set. Legendre, Zernike, and Pseudo-Zernike moments are examples of such orthogonal feature descriptors. An image can also be reconstructed from a sufficiently large number of orthogonal moments. Discrete orthogonal...