For each decision problem, there is a competence set, proposed by Yu (1990), consisting of ideas, knowledge, information, and skills required for solving the problem. Thus, it is reasonable that we view a set of useful patterns discovered from a relational database by data mining techniques as a needed competence set for solving one problem. Significantly, when decision makers have not acquired...

There exist some several method offer similar functions and current technologies are poor to discriminate the important weights of attributes of enterprise resource planning system, due to the complexity of metrics and involvement of consumer’s vague perception. Entropy method is used to determine the weight of evaluation indexes and establish multi-level fuzzy synthetic evaluation model. Its a...

In this paper, an effective method is developed to extract coronary vessels from X-ray digital subtraction angiography (DSA). Unlike the traditional image subtraction technique, we used the independent component analysis (ICA) to separate the coronary vessels and backgrounds. Experimental results indicate that the proposed method can achieve better performance than the traditional & 2011 Elsevi...

In this paper the testing of analog-to-digital converters (ADCs) by frequency-domain analysis in multi-tone mode is investigated. The theoretical expressions of some of the most important ADC dynamic parameters are derived. Also, the theoretical expression of the difference between the ADC effective number of bits (ENOB) obtained by testing in multi-tone mode and the ENOB obtained by testing in...

This paper aims at comparing the Bayesian Information Criterion and the Variational Bayesian approach for scoring unknown multiple speakerclustering. Variational Bayesian learning is a very effective method that allows parameter learning and model selection at the same time. The application we consider here consists in finding the optimal clustering in a conversation where the speaker number is...

A new, simple, fast and effective method for moving object detection in outdoor environments, invariant to extreme illumination changes is presented as an improvement to the shading model method described in [8]. It is based on an analytical parameter introduced in the shading model, background updating technique and window processing.

With over-deployed network infrastructures, network densification is shown to hinder the improvement of user experience and system performance. In this paper, we adopt multi-antenna techniques to overcome the bottleneck and investigate the performance of single-user beamforming, an effective method to enhance desired signal power, in small cell networks from the perspective of user coverage pro...

The goal of graph clustering is to partition vertices in a large graph into different clusters based on various criteria such as vertex connectivity or neighborhood similarity. Graph clustering techniques are very useful for detecting densely connected groups in a large graph. Many existing graph clustering methods mainly focus on the topological structure for clustering, but largely ignore the...

An effective method for analysis of periodic forced response of nonlinear cyclically symmetric structures has been developed. The method allows multiharmonic forced response to be calculated for a whole bladed disk using a periodic sector model without any loss of accuracy in calculations and modeling. A rigorous proof of the validity of the reduction of the whole nonlinear structure to a secto...

Without any question, environmental pollution is the main cause for the species extinction in recent times. In this paper, based on impulsive differential equation, the dynamics of a single-species model with impulsive pollution treatment at fixed time in a polluted environment is considered, in which we assume that the species is directly affected by the pollutants. Sufficient conditions for p...