Nanjing University of Information Science and Technology , formerly the Meteorology College of Nanjing University, was established in 1960 by the China Meteorological Administration, then changed the name into Nanjing Institute of Meteorology in May, 1963. NUIST is the oldest institution of higher learning of meteorology science in China.The administration of NUIST handed over from China Meteorological Administration to Jiangsu province in February, 2000. Its present name of Nanjing University of Information Science and Technology was adopted in May, 2004 with authorization by Jiangsu Government and the Ministry of Education of PRC.NUIST offers Associate, Bachelor, Master and Doctorate degree programs in areas including Atmospheric Science, Information Science and Technology, Environmental Science, Engineering, management, literature, economics, laws and agriculture.At Autumn 2010 more than 150 foreign students from 27 countries were studying at NUIST.External PartnershipThe university has established with Yale University, University of Maryland, University of Wisconsin, University of Detroit, University of Edinburgh, University of Reading, University of Toronto, University of Hamburg, Germany, Ireland, Waterford Institute of Technology, Queensland University of Technology 48 famous universities a partnership of scientific research and personnel training, exchange of visiting scholars and students enrolled in undergraduate and graduate departments. The school has the scholarships from Chinese government, Hanban, the Jiangsu province to recruit students. In 2009, the school was founded the "Confucius class" in Bahamas, and it became the fourth Confucius class that Jiangsu Province has found in overseas universities, in 2011, "Confucius class" successfully upgraded to "Confucius Institute". The school has a "World Meteorological Organization Regional Training Center", which has trained more than 1,600 meteorological technicians and managers for 134 countries and regions, and successfully hosted the Tenth World Meteorological Organization Conference of Education and Training and the third session of " quantitative precipitation estimation and forecasting " international conference . In 2010, the World Meteorological Organization Executive Council session on 62 certificates in recognition of the important contribution of the school to make the international meteorological training. Wikipedia.
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: SPA.2013.3.2-01 | Award Amount: 2.63M | Year: 2013
PArtnership with chiNa on space DAta The objective of the PANDA Project is to establish a team of European and Chinese scientists who will jointly use space observations and in-situ data as well as advanced numerical models to monitor, analyse and forecast global and regional air quality. PANDA will provide to users and stakeholders knowledge, methodologies and toolboxes that will serve as a basis for global and regional air quality analysis and forecasts. It will provide science-based information that will improve air quality management by regional and local authorities. A strong dissemination and education activity will be established to train users to use the key products and data generated by the Project. Through the proposed cooperation between Europe and China, the following objectives will be reached before the completion of the Project: 1. Improvement of methods for monitoring air quality from combined space and in-situ observations 2. Elaboration of indicators for air quality, in support of European and Chinese policies 3. Development of toolboxes for air quality and emissions monitoring 4. Dissemination of information and educational activities The PANDA project is organized around 7 work-packages dealing with remote sensing data, in-situ observations, anthropogenic and natural emissions, integration of observations and models, toolbox development, cooperation, dissemination of knowledge and capacity building, and management and coordination. The project will support the European Space Policy and specifically the GMES Programme (Global Monitoring for Environment and Security). It will contribute to the development of the Global Earth Observation System of Systems (GEOSS).
Qiu Z.,Nanjing University of Information Science and Technology
Optics Express | Year: 2013
Distribution of the suspended particulate matter (SPM) concentration is a key issue for analyzing the deposition and erosion variety of the estuary and evaluating the material fluxes from river to sea. Satellite remote sensing is a useful tool to investigate the spatial variation of SPM concentration in estuarial zones. However, algorithm developments and validations of the SPM concentrations in Yellow River Estuary (YRE) have been seldom performed before and therefore our knowledge on the quality of retrieval of SPM concentration is poor. In this study, we developed a new simple optical model to estimate SPM concentration in YRE by specifying the optimal wavelength ratios (600-710 nm)/ (530-590 nm) based on observations of 5 cruises during 2004 and 2011. The simple optical model was attentively calibrated and the optimal band ratios were selected for application to multiple sensors, 678/551 for the Moderate Resolution Imaging Spectroradiometer (MODIS), 705/560 for the Medium Resolution Imaging Spectrometer (MERIS) and 680/555 for the Geostationary Ocean Color Imager (GOCI). With the simple optical model, the relative percentage difference and the mean absolute error were 35.4% and 15.6 gm-3 respectively for MODIS, 42.2% and 16.3 gm-3 for MERIS, and 34.2% and 14.7 gm -3 for GOCI, based on an independent validation data set. Our results showed a good precision of estimation for SPM concentration using the new simple optical model, contrasting with the poor estimations derived from existing empirical models. Providing an available atmospheric correction scheme for satellite imagery, our simple model could be used for quantitative monitoring of SPM concentrations in YRE. © 2013 Optical Society of America.
Wang X.,Nanjing University of Information Science and Technology
Journal of the Optical Society of Korea | Year: 2014
In a multi-camera measurement system, the determination of the external parameters is one of the vital tasks, referred to as the calibration of the system. In this paper, a new geometrical calibration method, which is based on the theory of the vanishing line, is proposed. Using a planar target with three equally spaced parallel lines, the normal vector of the target plane can be confirmed easily in every camera coordinate system of the measurement system. By moving the target into more than two different positions, the rotation matrix can be determined from related theory, i.e., the expression of the same vector in different coordinate systems. Moreover, the translation matrix can be derived from the known distance between the adjacent parallel lines. In this paper, the main factors effecting the calibration are analyzed. Simulations show that the proposed method achieves robustness and accuracy. Experimental results show that the calibration can reach 1.25 mm with the range about 0.5m. Furthermore, this calibration method also can be used for auto-calibration of the multi-camera measurement system as the feature of parallels exists widely. © 2014, Optical Society of Korea. All rights reserved.
Geyi W.,Nanjing University of Information Science and Technology
IEEE Transactions on Antennas and Propagation | Year: 2013
This paper studies the optimum design of antennas. The objective function to be maximized is the ratio of gain to quality factor (Q) (i.e., the product of gain and bandwidth) in a specified direction. The theoretical upper bounds for the ratio of gain to Q are first rederived by using the IEEE standard definition of antenna Q. The ratio of gain to Q in a specified direction may be considered as a linear functional of the current distribution, and once it is maximized, an eigenvalue equation can be obtained from the variational principle. This eigenvalue equation can then be solved, yielding an optimum current distribution that maximizes the ratio of gain to Q in the specified direction. A number of numerical examples for small antennas have been presented to demonstrate how the theoretical upper bounds for the ratio of gain to Q can be approached by optimizing the current distributions as well as antenna geometries. © 1963-2012 IEEE.
Gu B.,Nanjing University of Information Science and Technology
Journal of the Optical Society of America B: Optical Physics | Year: 2012
We propose a single-photon-assisted entanglement concentration protocol (ECP) for nonlocal N-photon systems in a partially entangled pure W-class state with linear optical elements. Only one of the N parties in quantum communication prepares an ancillary photon and operates the entanglement concentration process for picking up the standard N-photon W state from each partially entangled pure W-class state by choosing the two-mode instances from a polarization beam splitter. Compared with other ECPs for W-class states, our protocol has some advantages. First, it requires only linear optical elements. Second, it requires an N-photon system and an ancillary photon for each round of concentration, not two systems. Third, only one party asks other parties to retain or discard their photons. All these advantages make our ECP more feasible and more convenient than others. © 2012 Optical Society of America.
Wang Z.,Nanjing University of Information Science and Technology
Journal of Geophysical Research: Oceans | Year: 2013
We investigate the responses of the Southern Hemisphere subpolar gyres to projected climate changes over the 21st century by Coupled Model Intercomparison Project Phase 3 and 5 models. Under increased greenhouse gas forcing, the Southern Hemisphere westerly winds consistently become intensified, resulting in increased cyclonic wind forcing in the subpolar region in these models. Under such wind forcing changes, it is a robust feature that there are consistent increases in the westward flow close to the coast of Antarctica, with strong implications to the mass balance of the Antarctic ice shelves and ice sheets. However, there are large discrepancies in the responses of the gyre axes and overall gyre strengths. Some models show equatorward expansions of the southern gyre limbs, resulting in consistent and large gyre strength increases, while some other models show poleward contractions of the gyres and generally small and less consistent gyre strength changes. These uncertainties are primarily a result of the uncertain simulations of eddy-driven circulations in the Antarctic Circumpolar Current. The associated buoyancy forcing changes play a secondary role in driving these oceanic responses. This study reveals that there are large uncertainties in the projections of the sub polar circulation in the current generation of coupled climate models, although CMIP5 models have considerably smaller inter-model spreads in the present-day and projected gyre strengths. To predict the subpolar circulation changes, future improved modelling studies need to particularly reduce the uncertainties in the projections of the westerly jet and to reduce the uncertainties in the eddy-driven circulation responses to wind forcing changes. © 2013. American Geophysical Union. All Rights Reserved.
Li F.,Nanjing University of Information Science and Technology
Microporous and Mesoporous Materials | Year: 2013
Iron-bearing minerals have been used as adsorbents for arsenic anions for many decades, but both the small surface area and the poorly defined pore structure limit their performance in removal of arsenic from aqueous systems. Herein, we report a sonochemical layer-by-layer (LBL) loading process for depositing of ferric species onto mesoporous silicas (i.e., MCM-41, SBA-15, and KIT-6). The surface area, pore size and volume, as well as the iron loading of these mesoporous silicas can be tailored and optimized with increasing in loading cycle via a LBL protocol. The surface functioned materials were characterized by X-ray diffraction (XRD), N2 physisorption, transmission electron microscopy (TEM), Fourier transform infrared (FTIR) spectrometry and zeta potential measurement. Their performance in As(V) adsorption was also tested. The results indicate that the iron-loaded mesoporous silicas retained their ordered pore structure as well as the large surface area, which enable them a good kinetic performance in uptake of As(V) anions. When iron loading is as much as 10 wt.%, two representative iron-loaded silicas Fe10MCM-41 and Fe10KIT-6, exhibited the best performance in trapping the As(V) anions, with an Fe/As molar ratio of about 5.77 and 5.10, respectively. The Fe/As molar ratio implies they belong to the iron-containing adsorbents with the highest adsorption performance for As(V), and therefore could be used as alternative adsorbents for As(V) adsorption. © 2012 Elsevier Inc. All rights reserved.
Wu L.,Nanjing University of Information Science and Technology |
Zhao H.,Nanjing University of Information Science and Technology
Journal of Climate | Year: 2012
The study of the impact of global warming on tropical cyclone (TC) intensity is subject to uncertainty in historical datasets, especially in the western North Pacific (WNP) basin, where conflicting results have been found with the TC datasets archived in different organizations. In this study the basinwide TC intensity in the WNP basin is derived dynamically with a TC intensity model, based on the track data from the Joint Typhoon Warning Center (JTWC), the Regional Specialized Meteorological Center (RSMC) of Tokyo, and the Shanghai Typhoon Institute (STI) of the China Meteorological Administration. The dynamically derived TC intensity is compared to the three datasets and used to investigate trends in TC intensity. The associated contributions of changes in SST, vertical wind shear, and prevailing tracks are also examined. The evolution of the basinwide TC intensity in the JTWC best-track dataset can be generally reproduced over the period 1975-2007. Dynamically derived data based on the JTWC, RSMC, and STI track datasets all show an increasing trend in the peak intensity and frequency of intense typhoons, mainly because of the combined effect of changes in SST and vertical wind shear. This study suggests that the increasing intensity trend in the JTWC dataset is real, but that it may be overestimated. In contrast, the TC intensity trends in the RSMC and STI intensity datasets are dynamically inconsistent. Numerical simulations also suggest that the frequency of intense typhoons is more sensitive to changes in SST and vertical wind shear than the peak and average intensities defined in previous studies. © 2012 American Meteorological Society.
Xu J.,Nanjing University of Information Science and Technology
Powder Technology | Year: 2011
Ceria, prepared by a precipitation method, was used as a new photocatalyst under UV light irradiation. The as-prepared sample was characterized by XRD and SEM. Results showed that the ceria was cubic fluorite structure and sized in nanometer range. The photocatalytic degradation of phenol was investigated in the presence of a suspended mixture of ceria and activated carbon. A synergy effect was observed with an enhancement of the apparent rate constant by a factor of 5.6 times. The apparent quantum yield of the ceria-AC system was also increased 2.9 times. The activated carbon with strong adsorption activity provided sites for the adsorption of phenol. Then, the adsorbed phenol would migrate continuously to the surface of ceria particles. Some phenol still remained adsorbing on the catalyst when no traces of phenol were detected in the solution. This adsorbed phenol could be degraded by maintaining UV-irradiation. © 2011 Elsevier B.V.
Zhu F.,Nanjing University of Information Science and Technology |
Zhu F.,University of Sheffield |
Shao L.,Nanjing University of Information Science and Technology |
Shao L.,University of Sheffield
International Journal of Computer Vision | Year: 2014
We address the visual categorization problem and present a method that utilizes weakly labeled data from other visual domains as the auxiliary source data for enhancing the original learning system. The proposed method aims to expand the intra-class diversity of original training data through the collaboration with the source data. In order to bring the original target domain data and the auxiliary source domain data into the same feature space, we introduce a weakly-supervised cross-domain dictionary learning method, which learns a reconstructive, discriminative and domain-adaptive dictionary pair and the corresponding classifier parameters without using any prior information. Such a method operates at a high level, and it can be applied to different cross-domain applications. To build up the auxiliary domain data, we manually collect images from Web pages, and select human actions of specific categories from a different dataset. The proposed method is evaluated for human action recognition, image classification and event recognition tasks on the UCF YouTube dataset, the Caltech101/256 datasets and the Kodak dataset, respectively, achieving outstanding results. © 2014 Springer Science+Business Media New York.