[Li Shutao; Shen Qinghua] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China.;[Li Yi] Cent S Univ, Coll Arts, Changsha 410083, Hunan, Peoples R China.
26th Chinese Control Conference, CCC 2007
July 26, 2007 - July 31, 2007
(1) College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; (2) College of Arts, Central South University, Changsha 410083, China
text localization;complex background;wavelet transform;morphology operation
Text location has wide applications, such as image retrieval, video retrieval, etc. However, it is not a trivial task because of the complexity of the background. In this paper, we propose a method for text location in complex background that is based on wavelet decomposition and mathematical morphology. Firstly, the input image is decomposed using wavelet. Then sub-image which corresponds to high frequency in vertical direction is binarised. Finally, prior knowledge is used to locate the text region. Experimental results show that the proposed method is fast and effective.
Estrogenic hormones have become an emerging and serious concern in the recent years, owing to their adverse effects on ecosystems and human health. It is necessary to explore green, effective and sustainable technologies to remove these contaminants. Biochar derived from biomass residue has been recognized as an effective adsorbent for removing pollutants from aqueous solutions. Objective of this study was to investigate the influence of microwave-assisted chemical modification method on the property of biochar and evaluate its application for 17 beta-estradiol (E2) removal. Biochar derived from rice husk biomass waste were modified by acid (sulfuric acid and phosphoric acid), alkali (sodium hydroxide and sodium bicarbonate) and oxidizing agent (hydrogen peroxide), respectively. Various characterization techniques and adsorption experiments were carried out to investigate the property and the adsorption performance of biochar. The results showed that alkali modified biochar have higher adsorption capacity for E2 than other modified biochar. And the maximum adsorption capacity was 44.9 mg/g obtained from the Langmuir model at 298 K, which can be attributed to its higher surface area and superior hydrophobic property. This study not only provides useful information for E2 removal from aquatic environment, but also gives insight into the reuse of biomass waste. (C) 2019 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
This paper compares three different approaches: SIP (Strongly Implicit Procedure), TDMA-SOR (Tri Diagonal Matrix Algorithm, combined with Successive Over Relaxation) and ICCG (Conjugate Gradient method, preconditioned using Incomplete Cholesky decomposition), by using three typical fluid flows: closed surface, partial opening and full opening. The results showed that SIP has better stability and convergence for the flow with Dirichlet momentum boundary conditions of outlet than that with Neumann momentum boundary conditions of outlet. The reason is that SIP is designed specially for algebraic equations, which are discretizated from partial differential equations, and it may not be used for generic system of equations. Generally, the types of momentum boundary conditions of outlet change the mathematical characteristics of SIP in the inner iteration. The often used iteration factor α(0<α<1) is only optimized for Dirichlet boundary condition, while is un-optimized for Neumann boundary. Optimization scheme of the former is presented in this paper.
[李江; 胡新将; Zeng, Guang-Ming; 尹怡诚; 刘云国; 谭小飞; 蔡晓曦; 柳思勉] College of Environmental Science and Engineering, Hunan University, Changsha, China;[刘少博] School of Architecture and Art, Central South University, Changsha, China;[祝志林] China Construction First Division Group Construction and Development Co. Ltd., Beijing, China;[李江; 胡新将; Zeng, Guang-Ming; 尹怡诚; 刘云国; 谭小飞; 蔡晓曦; 柳思勉] Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, Hunan University, Changsha, China
College of Environmental Science and Engineering, Hunan University, Changsha, China