an alternative for decreasing risk for knowledge workers is effective & optimized work break.major performance criteria in r&d; based organization is successful projects. selection of opproporiate members can be a most effect on the projects achievement. but as the selection of r&d; special members lead to decrease of risk, repeatative participation of this people in the same project lead to kn...

Background: Selection of human spermatozoa prior to assisted reproduction is currently based on motility and morphology. Recently, Zeta method has been introduced for normal sperm selection based on sperm surface charges. In addition, one of the features of apoptosis is the externalization of phosphatidylserine (PS), which are normally present on the inner leaflet of the sperm plasma membrane. ...

in this paper, we proposed a data-hiding scheme based on run length matrix. in a previously proposed method, a technique based on texture classification was introduced where four statically features extracted from run length matrix; then best cover images are selected based on these features. using appropriate features for comparing images from undetectability viewpoint, guarantees, less detect...

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...

This paper presents a set of rules which form the prototype lexical selection component of a rule-based machine translation system between two closely-related minority languages, North Sámi and Lule Sámi. While the languages have comprehensive monolingual computational linguistic resources, they lack bilingual resources. One-to-one relations in the lexicon dominate, but there are also more comp...

The feature selection problem in the field of classification consists of obtaining a subset of variables to optimally realize the task without taking into account the remainder variables. This work presents how the search for this subset is performed using the Scatter Search metaheuristic and is compared with two traditional strategies in the literature: the Forward Sequential Selection (FSS) a...

Since testing is an expensive process, test selection has been proposed as a way to reduce such expense. A good selection of tests can be done using specification coverage functions. Model-based ioco theory, however, uses test suites which are not suitable for computing coverage because of interdependence of their test cases. We define a new test suite that overcomes such problems. Using such a...

We present a principled method of obtaining a weighted similarity metric for 3D image retrieval, rmly rooted in Bayes decision theory. The basic idea is to determine a set of most discriminative features by evaluating how well they perform on the task of classifying images according to predeened semantic categories. We propose this indirect method as a rigorous way to solve the diicult feature ...