Specifications

Publisher: Hindawi Publishing Corporation, 410 Park Avenue, 15th Floor, 287 pmb, New York,
NY 10022, United States
Abstract: The existence of nontrivial dynamic behaviors in a hydrological system is intensively
discussed in the literature. However, most of the work has been done from the nonlinear data
analysis perspective, with only a few exceptions, due to the mathematical difficulties for
theoretical analysis. In this study, a simple but comprehensive enough ecohydrological model
with the pulsed atmospheric forcing was developed from the process analysis perspective. The
model was then utilized to analyze the non-trivial dynamic behaviors in a coupled ecohydrological
system qualitatively and numerically. Our results confirm the existence of multiple stationary
states discussed by many researchers. Furthermore, parameter bifurcation was studied and the
phenomenon of mutation is found to be rather common. Also, the chaotic characteristic of the
system state is obtained under some specific parameters. Parts of these behaviors were seldom
reported through the deterministic dynamic analysis done previously. © 2013 Mu Lin et al.
Number of references: 33
Main heading: Engineering
Controlled terms: Mathematical techniques
Uncontrolled terms: Atmospheric forcing - Chaotic characteristics - Eco-hydrological
models - Hydrological system - Mathematical difficulty - Non-smooth dynamics -
Nonlinear data analysis - Parameter bifurcation
Classification code: 901 Engineering Profession - 921 Mathematics
DOI: 10.1155/2013/731042
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
2.
Accession number: 20131816296119
Title: Image segmentation based on modified FCM algorithms
Authors: Shi, Zhenghao1, 2 ; He, Lifeng3 ; Nakamura, Tsuyoshi1 ; Itoh, Hidenori1/石争浩;;;;
Author affiliation: 1 School of Computer Science and Engineering, Nagoya Institute of
Technology, Nagoya 464-8555, Japan
2 School of Computer Science and Engineering, Xi'An University of Technology, Xi'an 710048,
China
3 Department of Radiology, University of Chicago, 5841 South Maryland Avenue, MC 2026,
Chicago, IL 60637, United States
Corresponding author: Shi, Z. ([e-mail])
Source title: International Conference on Artificial Intelligence and Pattern Recognition 2007,
AIPR 2007
Abbreviated source title: Int. Conf. Artif. Intell. Pattern Recogn., AIPR
Monograph title: International Conference on Artificial Intelligence and Pattern Recognition
2007, AIPR 2007
Issue date: 2007
Publication year: 2007
Pages: 63-69