نتایج جستجو برای: effective method

تعداد نتایج: 2182415  

1992
Hakan Delic Dimitri Kazakos Thornton Hall

We consider discrete-time detection with dynamical modeling, where the data generating processes are represented through state-variable techniques. Given the modeling above, one computationally effective method of calculating the likelihood ratio functions is due to Schweppe. In this paper, we study the asymptotic properties of Schweppe’s likelihood ratio detector, and evaluate the power probab...

2011
ALIREZA AZARI MOGHADDAM LALITHA RANGARAJAN

Defects detection is very important to guarantee the welding quality. Many researchers have been done on this area. However, most of them are limited in efficiency. Different from these researches, a method that is used to detect defects from the radiographic images of welding is put forward. This paper discusses an effective method to segment of the defects in welding images. We also use Two D...

Journal: :Appl. Math. Lett. 2010
Gradimir V. Milovanovic Zlatko Udovicic

It is well known that a cardinal B-spline of order m,m ∈ N, is a piecewise polynomial function. In this note we propose an effective method for calculating the coefficients of polynomials which constitute a cardinal B-spline. © 2010 Elsevier Ltd. All rights reserved.

2002
James Brotherston Anatoli Degtyarev Michael Fisher Alexei Lisitsa

In this paper, we show how the clausal temporal resolution technique developed for temporal logic provides an effective method for searching for invariants, and so is suitable for mechanising of the wide class of temporal problems. We demonstrate that this scheme of searching for invariants can be also applied to a class of multi-predicate induction problems represented by mutually recursive de...

2007
Silas Onyango

We introduce a highly error resistant method of extracting Itô processes as applied to market data. This method is inspired by an AI method known as Hough transforms (HT). The HT method has been used in extracting geometric shape patterns from noisy and corrupted image data. We use this method to extract simultaneously logistic geometric Brownian motion trends from simulated price histories dat...

Journal: :IJEGR 2009
Jayoti Das Cassandra DiRienzo John Burbridge

In today’s global economy, a country’s level of e-government, or the use of the Internet and other communication technologies to provide government services, has emerged as an important policy tool for government. Recent studies indicate that the use of e-government is growing throughout the world (Mossberger, Tolbert, and Stansbury, 2003 and Larsen & Rainie, 2002). Formally defined as “the del...

Journal: :Expert Syst. Appl. 2007
Wei-Wen Wu Yu-Ting Lee

For ensuring the successful implementation of knowledge management, here raises a critical issue of how companies can better evaluate and select a favorable knowledge management strategy before that implementation. However, selecting a proper knowledge management strategy is a kind of multiple criteria decision-making (MCDM) problem required to consider a large number of complex factors. Unlike...

2006
Weiheng Zhu Jian Pei Jian Yin Yihuang Xie

Clustering data streams has found a few important applications. While many previous studies focus on clustering objects arriving in a data stream, in this paper, we consider the novel problem of on demand clustering concept drifting data streams. In order to characterize concept drifting data streams, we propose an effective method to estimate densities of data streams. One unique feature of ou...

2008
Bao-Quan Wang

We use observations of Sunyaev-Zel’dovich effect and X-ray surface brightness to reconstruct the radial profiles of gas temperature and density under the assumption of a spherically symmetric distribution of the gas. The method of reconstruction, first raised by Silk & White, depend directly on the observations of the Sunyaev-Zel’dovich effect and the X-ray surface brightness, without involving...

Journal: :Computers & Industrial Engineering 2005
Jenn-Hwai Yang Miin-Shen Yang

This paper presents a control chart pattern recognition system using a statistical correlation coefficient method. Pattern recognition techniques have been widely applied to identify unnatural patterns in control charts. Most of them are capable of recognizing a single unnatural pattern for different abnormal types. However, before an unnatural pattern occurs, a change point from normal to abno...

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