Title: Exciton binding energy and excitonic absorption spectra in a parabolic quantum wire under transverse electric field

Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:Nitrous emission in SBR denitrification process and the microbial community impact on it were studied. Result showed that the relationship between the N2O emission and conversion efficiency of nitrogen in system during the wastewater nitrogen removal process is negatively correlated. Under the experimental conditions, with NH4⁺ concentration increased, the efficiency of nitrogen transformation is decreased in this SBR system, meantime the N2O-N ratio is rapidly increase. Using PCR-DGGE technique analysis characteristics of microbial communities in SBR system under the different concentrations of NH4⁺ Showed that in high NH4⁺ concentration(60 mg · L^-1) the microbial community is quite different when compared to medium (40 mg · L^-1) and low(20 mg · L^-1) concentrations. N 2O emission in high NH4⁺ concentration was effected by the nitrogen conversion efficiency and the changes in microbial community. In this study, the proportion of N2O-N is 0.25%∼6.35% in the wastewater nitrogen removal process under different NH4 ⁺ concentrations. © 2011 IEEE.

Number of references:15

Main heading:Nitrogen removal

Controlled terms:Civil engineering - Concentration (process) - Conversion efficiency - Efficiency - Microorganisms - Nitrogen - Polymerase chain reaction - Remote sensing - Wastewater - Wastewater treatment

Uncontrolled terms:Denitrification process - Experimental conditions - Microbial communities - Nitrogen removal process - Nitrogen transformation - Nitrogen transformations - PCR-DGGE - SBR system - Wastewater treatment system

Classification code:913.1 Production Engineering - 804 Chemical Products Generally - 802.3 Chemical Operations - 801.2 Biochemistry - 731.1 Control Systems - 525.5 Energy Conversion Issues - 452.4 Industrial Wastes Treatment and Disposal - 452.3 Industrial Wastes - 409 Civil Engineering, General

DOI:10.1109/RSETE.2011.5965237

Database:Compendex

Compilation and indexing terms, Copyright 2011 Elsevier Inc.

Accession number:20113614292828

Title:Information service platform of new countryside base on C#

Authors:Sun, Chengming (1); Gao, Wei (1); Tian, Ting (1); Liu, Tao (1); Lu, Jianfei (1); Sun, Zhengguo (2); Li, Jianlong (2)

Author affiliation:(1) Key Laboratory of Crop Genetics and Physiology of Jiangsu, Yangzhou University, Yangzhou, China; (2) College of Life Science, Nanjing University, Nanjing, China

Corresponding author:Li, J.

Source title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Abbreviated source title:Int. Conf. Remote Sens., Environ. Transp. Eng., RSETE - Proc.

Monograph title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Issue date:2011

Publication year:2011

Pages:4117-4120

Article number:5965225

Language:Chinese

ISBN-13:9781424491711

Document type:Conference article (CA)

Conference name:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011

Conference date:June 24, 2011 - June 26, 2011

Conference location:Nanjing, China

Conference code:86226

Sponsor:Nanjing University of Information Science and Technology; Peking University; Fudan University; Tsinghua University; Jilin University

Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:In order to fit socialization and marketization of peasants' production and life, countryside comprehensive service system comes into being gradually. Information service platform of new countryside includes five function modules, such as "developed production", "richness life", "civilized fashion", "tidy village" and "democratic management". To complete this project, the underlying database was well designed by Access to ensure its integrity and security, and the interface was programmed by C# based on VS.NET. © 2011 IEEE.

Number of references:5

Main heading:Information retrieval

Controlled terms:Civil engineering - Information services - Remote sensing

Uncontrolled terms:C# - Database - Function module - New countryside - Service systems

Classification code:409 Civil Engineering, General - 731.1 Control Systems - 903.3 Information Retrieval and Use - 903.4 Information Services

DOI:10.1109/RSETE.2011.5965225

Database:Compendex

Compilation and indexing terms, Copyright 2011 Elsevier Inc.

Accession number:20113614293079

Title:Predicting grain protein content of winter wheat based on landsat TM images and leaf nitrogen content

Authors:Tan, Changwei (1); Guo, Wenshan (1); Wang, Jihua (2)

Author affiliation:(1) Jiangsu Province Key Laboratory of Crop. Genetics and Physiology, Yangzhou University, Yangzhou, China; (2) National Engineering Research Center for Information Technology in Agriculture, Beijing, China

Corresponding author:Tan, C.([e-mail])

Source title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Abbreviated source title:Int. Conf. Remote Sens., Environ. Transp. Eng., RSETE - Proc.

Monograph title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Issue date:2011

Publication year:2011

Pages:5165-5168

Article number:5965478

Language:Chinese

ISBN-13:9781424491711

Document type:Conference article (CA)

Conference name:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011

Conference date:June 24, 2011 - June 26, 2011

Conference location:Nanjing, China

Conference code:86226

Sponsor:Nanjing University of Information Science and Technology; Peking University; Fudan University; Tsinghua University; Jilin University

Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:The purpose of this study is to further improve the accuracy of predicting winter wheat grain quality with remote sensing, to enhance the prediction mechanism and to meet the demand for winter wheat production. In order to predict grain protein content (GPC) in winter wheat using landsat TM images, The experiment was carried out in Jiangsu regions during 2007-2009 winter wheat growth season. Based on Landsat TM image, synchronous or quasi-simultaneous ground observations of leaf nitrogen content(LNC) and grain quality indices of winter wheat under different years and different periods. Firstly, this study analysised the relationships between GPC and LNC, and between LNC and satellite remote sensing variables. Secondly, based on remote sensing variable and LNC, the quantitative relationship models were established to predict GPC of winter wheat, and then evaluated with independent samples. Finally, the indirect model of predicting GPC based on remote sensing variable and LNC was compared to the direct moedel based on only NDVI. The results showed that: anthesis stage can be considered as the sensitive period to predict grain protein content, and it was sensitive to predict GPC of winter wheat using NDVI. the indirect and direct moedels were evaluated with independent samples by the determination coefficient(R2) with 0.412 and 0.379, the root mean square error(RMSE) with 0.367% and 0.418%, respectively. The indirect model based on NDVI and LNC performed better to predict wheat GPC than the direct model based on only NDVI, and obtained the higher accuracy by 8.5% than the direct model. The result of appling the indirect model was correspondent with the actual distribution of wheat GPC. It is concluded that the reseach can provide an effective way to improve the accuracy of predicting wheat quality based on aerospace remote sensing, and contribute to large-scale application and promotion of the research results. © 2011 IEEE.

Number of references:14

Main heading:Grain (agricultural product)

Controlled terms:Civil engineering - Forecasting - Grain growth - Mathematical models - Nitrogen - Proteins - Remote sensing

Uncontrolled terms:Grain protein contents - LANDSAT TM - Leaf nitrogen content - Prediction model - Winter wheat

Classification code:933.1.2 Crystal Growth - 921 Mathematics - 821.4 Agricultural Products - 804.1 Organic Compounds - 804 Chemical Products Generally - 731.1 Control Systems - 409 Civil Engineering, General

DOI:10.1109/RSETE.2011.5965478

Database:Compendex

Compilation and indexing terms, Copyright 2011 Elsevier Inc.

Accession number:20113614293171

Title:The nitro-saving solution for high yield of direct seeding rice after cultivating wheat

Authors:Sun, Zhengguo (1); Sun, Chengming (1); Chen, Yizhao (1); Li, Jianlong (1); Zhang, Hongcheng (2)

Author affiliation:(1) College of Life Science, University of Nanjing, Nanjing, Jiangsu Province, 210093, China; (2) College of Agriculture Science, University of Yangzhou, Yangzhou, Jiangsu Province, 225009, China

Corresponding author:Li, J.([e-mail])

Source title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Abbreviated source title:Int. Conf. Remote Sens., Environ. Transp. Eng., RSETE - Proc.

Monograph title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Issue date:2011

Publication year:2011

Pages:5534-5537

Article number:5965605

Language:Chinese

ISBN-13:9781424491711

Document type:Conference article (CA)

Conference name:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011

Conference date:June 24, 2011 - June 26, 2011

Conference location:Nanjing, China

Conference code:86226

Sponsor:Nanjing University of Information Science and Technology; Peking University; Fudan University; Tsinghua University; Jilin University

Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:In order to solve the problem of nitrogen over-use in high yield direct seeding rice after cultivating wheat, the research explored different nitro-saving cultivation method from 2008 to 2009, by increasing the rice planting density to enhance yield on wheat stubble. This study set up a test of different direct seeding density in 2 years continuously with 150 kg nitrogen application dose per hectare (as much as 50%-60% nitrogen application dose in regular high yield cultivation condition). By analyzing the productivity, constituent factors, index of quality, RVA of rice, dynamics of leave and tilling, dry matter accumulation etc, the results showed that in conditions of 300 million basic seedlings per hectare, the yield was similar to the conventional nitro-use cultivation. This solution not only relieved the pressure of fertilize on environmental pollution by saving 100-120kg nitrogen per hectare, but also the improved benefits exceed the prime cost of increased use of seeds. This breakthrough innovation provided an alternative for the research of high quality direct seeding rice. © 2011 IEEE.

Number of references:11

Main heading:Seed

Controlled terms:Civil engineering - Nitrogen - Remote sensing

Uncontrolled terms:Breakthrough innovations - Cultivation conditions - Direct-seeding - Dry matter accumulation - Environmental pollutions - High quality - High yield - Planting density - RVA of rice - Wheat stubble

Classification code:409 Civil Engineering, General - 731.1 Control Systems - 804 Chemical Products Generally - 821.4 Agricultural Products

DOI:10.1109/RSETE.2011.5965605

Database:Compendex

Compilation and indexing terms, Copyright 2011 Elsevier Inc.

Accession number:20113614292998

Title:Assessment of the ecosystem service value of river network in irrigation district

Authors:Cai, Shouhua (1); Zhang, Peng (1); Zhu, Shuyuan (1)

Author affiliation:(1) College of Water Conservancy Science and Engineering, Yangzhou University, Yangzhou, China

Corresponding author:Cai, S.([e-mail])

Source title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Abbreviated source title:Int. Conf. Remote Sens., Environ. Transp. Eng., RSETE - Proc.

Monograph title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Issue date:2011

Publication year:2011

Pages:4837-4840

Article number:5965395

Language:Chinese

ISBN-13:9781424491711

Document type:Conference article (CA)

Conference name:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011

Conference date:June 24, 2011 - June 26, 2011

Conference location:Nanjing, China

Conference code:86226

Sponsor:Nanjing University of Information Science and Technology; Peking University; Fudan University; Tsinghua University; Jilin University

Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:River networks (including rivers and drainages) ecosystems in many irrigation districts are getting worse as the development of farmland irrigation. Ecosystem service values can reflect the deteriorating situation of river networks ecosystems. In this paper, a classification of river network ecosystem service values of irrigation district is presented and suitable estimate methods are recommended. According to the basic data of Yanyun Irrigation District in Jiangsu Province from year 2003 to 2007, the assessment of ecosystem services value have been completed on market prices method, replacement cost method and opportunity cost method. The result shows that the annual average service value is 136,313,600 Yuan RMB, and the annual average service value per hectare is 4,150 Yuan RMB. Because of agricultural non-point sources pollution, the service value of water supply is quite small, and only accounts for 2.2% of the total. The service value of aquatic products supply is also decreases gradually. © 2011 IEEE.

Number of references:11

Main heading:Ecosystems

Controlled terms:Civil engineering - Irrigation - Rating - Remote sensing - Rivers - Water supply

Uncontrolled terms:Annual average - Aquatic products - Assessment - Ecosystem service value - Ecosystem services - Ecosystem services value - Irrigation district - Irrigation districts - Jiangsu province - Market price - Non-point sources pollutions - Opportunity costs - Replacement costs - River network

Classification code:902.2 Codes and Standards - 821.3 Agricultural Methods - 731.1 Control Systems - 454.3 Ecology and Ecosystems - 446.1 Water Supply Systems - 409 Civil Engineering, General - 407.2 Waterways

DOI:10.1109/RSETE.2011.5965395

Database:Compendex

Compilation and indexing terms, Copyright 2011 Elsevier Inc.

Accession number:20113614293133

Title:Study on spatial distribution of negative aero-anion concentration in waterfall environment

Authors:Meng, Jiasong (1); He, Xiaodi (1)

Author affiliation:(1) School of Horticulture and Plant Protection, Yangzhou University, Yangzhou, China

Corresponding author:Meng, J.

Source title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Abbreviated source title:Int. Conf. Remote Sens., Environ. Transp. Eng., RSETE - Proc.

Monograph title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Issue date:2011

Publication year:2011

Pages:5390-5393

Article number:5965532

Language:Chinese

ISBN-13:9781424491711

Document type:Conference article (CA)

Conference name:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011

Conference date:June 24, 2011 - June 26, 2011

Conference location:Nanjing, China

Conference code:86226

Sponsor:Nanjing University of Information Science and Technology; Peking University; Fudan University; Tsinghua University; Jilin University

Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:Study on Spatial distribution of negative aero-anion concentration in the waterfall environment of ShiBiLiuzong. Results showed that the negative aero-anion concentration was decreased with the increase of the distance from the water fall center and the decreased degree tended to mitigation with the increase of the distance from the waterfall center. There was very significant difference among the negative aero-anion concentration in different areas from the waterfall center. The azimuth of observation had some influence on the negative aero-anion concentration. Within the test range, the negative aero-anion concentration reached the highest in the south, took second in the southeast and reached the lowest in the southwest. © 2011 IEEE.

Number of references:5

Main heading:Ions

Controlled terms:Civil engineering - Concentration (process) - Remote sensing - Spatial distribution

Uncontrolled terms:Negativeaero-anion concentration - Test range - Water-fall - Waterfalle nvironment

Classification code:409 Civil Engineering, General - 731.1 Control Systems - 801 Chemistry - 802.3 Chemical Operations - 921 Mathematics

DOI:10.1109/RSETE.2011.5965532

Database:Compendex

Compilation and indexing terms, Copyright 2011 Elsevier Inc.

Accession number:20113614293187

Title:Three-dimensional construction of rice organs based on C# and OpenGL

Authors:Sun, Chengming (1); Liu, Tao (1); Gao, Wei (1); Tian, Ting (1); Sun, Zhengguo (2); Li, Jianlong (2)

Author affiliation:(1) Key Laboratory of Crop Genetics and Physiology of Jiangsu, Yangzhou University, Yangzhou, China; (2) College of Life Science, Nanjing University, Nanjing, China

Corresponding author:Li, J.

Source title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Abbreviated source title:Int. Conf. Remote Sens., Environ. Transp. Eng., RSETE - Proc.

Monograph title:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings

Issue date:2011

Publication year:2011

Pages:5599-5602

Article number:5965621

Language:Chinese

ISBN-13:9781424491711

Document type:Conference article (CA)

Conference name:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011

Conference date:June 24, 2011 - June 26, 2011

Conference location:Nanjing, China

Conference code:86226

Sponsor:Nanjing University of Information Science and Technology; Peking University; Fudan University; Tsinghua University; Jilin University

Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:Morphological visualization is one of the key technologies for constructing virtual plant. The three-dimensional organ maps of rice are constructed by OpenGL, combining the characteristics of short development cycle and easy operation and maintenance of C#, and the design methods of object-oriented are used to construct the maps. Each rice organ is abstracted into different classes by using C#, and each class is independent and related through the interface. By adding mouse events, the morphological characteristics of rice organs can be observed from different angles, and the realistic three-dimensional effects can be showed. © 2011 IEEE.

Number of references:6

Main heading:Three dimensional computer graphics

Controlled terms:Civil engineering - Mammals - Optical systems - Remote sensing - Three dimensional - Visualization

Uncontrolled terms:C# - Object oriented - OpenGL - Rice organ - Three dimensional visualization

Classification code:409 Civil Engineering, General - 723.5 Computer Applications - 731.1 Control Systems - 741.3 Optical Devices and Systems - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 902.1 Engineering Graphics

DOI:10.1109/RSETE.2011.5965621

Database:Compendex

Compilation and indexing terms, Copyright 2011 Elsevier Inc.

Accession number:20113514270277

Title:Size-controlled hydrothermal synthesis of SnS2 nanoparticles with high performance in visible light-driven photocatalytic degradation of aqueous methyl orange

Authors:Zhang, Yong Cai (1); Du, Zhen Ni (1); Li, Kun Wei (2); Zhang, Ming (1)

Author affiliation:(1) Key Laboratory of Environmental Material and Environmental Engineering of Jiangsu Province, College of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, China; (2) Food and Agriculture Standardization Institute, China National Institute of Standardization, 4 Zhichun Road, Haidian District, Beijing 100088, China

Corresponding author:Zhang, Y.C.([e-mail])

Source title:Separation and Purification Technology

Abbreviated source title:Sep. Purif. Technol.

Volume:81

Issue:1

Issue date:September 5, 2011

Publication year:2011

Pages:101-107

Language:English

ISSN:13835866

CODEN:SPUTFP

Document type:Journal article (JA)

Publisher:Elsevier, P.O. Box 211, Amsterdam, 1000 AE, Netherlands

Abstract:A simple hydrothermal method was developed for the size-controlled synthesis of SnS2 nanoparticles, using common and inexpensive SnCl4·5H2O and thioacetamide as the reactants and 5 vol.% acetic acid aqueous solution as the solvent. The structure, composition and optical property of the obtained products were characterized by X-ray diffraction, transmission electron microscopy, energy dispersive X-ray spectroscopy, X-ray photoelectron spectroscopy, Brumauer-Emmett-Teller (BET) surface area analysis and UV-vis diffuse reflectance spectra, and their possible formation mechanism was proposed. Besides, their photocatalytic properties were tested by degrading methyl orange in distilled water (20 mg/l) under visible light (λ > 420 nm) irradiation. It was found that SnS2 nanoparticles synthesized under the appropriate hydrothermal conditions not only exhibited high visible light-driven photocatalytic activity, but also had good photocatalytic stability. © 2011 Elsevier B.V. All rights reserved.

Number of references:50

Main heading:Hydrothermal synthesis

Controlled terms:Acetic acid - Azo dyes - Nanoparticles - Optical properties - Photocatalysis - Photodegradation - Photoelectron spectroscopy - Tin - Transmission electron microscopy - X ray diffraction - X ray diffraction analysis - X ray photoelectron spectroscopy - X ray spectroscopy

Uncontrolled terms:Distilled water - Energy dispersive X ray spectroscopy - Formation mechanism - Hydrothermal conditions - Hydrothermal methods - Methyl Orange - Photo catalytic degradation - Photo-catalytic - Photocatalytic activities - Photocatalytic property - Size controlled synthesis - Surface area analysis - Thioacetamide - UV-vis diffuse reflectance spectra - Visible light