Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Taek Mu Kwon"'
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2250:25-31
The majority of intersection-related fatal crashes occur at rural through–stop intersections. At these intersections, sight restrictions caused by vertical and horizontal curves negatively affect a driver's ability to safely accept a gap in the tra
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 1836:111-117
Intelligent transportation system (ITS) sensor networks, such as road weather information and traffic sensor networks, typically generate enormous amounts of data. As a result, archiving, retrieval, and exchange of ITS sensor data for planning and pe
Autor:
Taek Mu Kwon, Edward J Fleege
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 1700:1-4
Because of rapidly changing technologies and associated increasing costs, implementation of a Road/Weather Information System must be carefully planned. Planners know the importance of starting with an architecture that allows easy integration of new
Publikováno v:
International Journal of Intelligent Systems in Accounting, Finance & Management. 9:145-157
This paper illustrates the application of artificial neural networks (ANNs) to test the ability of selected SAS No. 53 red flags to predict the targets of the SEC investigations. Investors and auditors desire to predict SEC targets because substantia
Autor:
Hui Cheng, Taek Mu Kwon
Publikováno v:
IEEE Transactions on Neural Networks. 7:515-524
This paper analyzes the effect of data-contrast to a backpropagation (BP) network and introduces a data preprocessing algorithm that can improve the efficiency of the standard BP learning. The basic idea is to transform input data to a range that ass
Publikováno v:
Journal of Intelligent & Robotic Systems. 12:301-315
As the applications of fuzzy-controllers become more complicated, the attributes of self-organization and trainability become increasingly important. Indeed, the specification of fuzzy rules and membership functions for systems with a large number of
Autor:
Taek Mu Kwon, Marek Patyra
Publikováno v:
Information Sciences. 86:211-226
In this paper, a degenerated fuzzy-number processing system based on artificial neural networks (ANNs) is introduced. The digital representation of fuzzy numbers is assumed, where the universe of discourse is discretized into n equally divided interv
Publikováno v:
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing. 42:578-591
This paper proposes an image restoration approach in the wavelet domain that directly associates multiresolution with multichannel image processing. We express the formation of the multiresolution image as an operator on the image domain that transfo
Autor:
M.E. Zervakis, Taek Mu Kwon
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 8:407-431
This paper introduces a fuzzy controller that can be designed without specific information on the membership functions and the fuzzy rules. We show how the membership values of crisp inputs can be determined by K-nearest-neighbour (KNN) distance meas
Autor:
Anushri Parsekar, Taek Mu Kwon
Publikováno v:
Journal of Civil Engineering and Architecture. 5