Wang Jinlin
Chinese Academy of Sciences
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Publication
Featured researches published by Wang Jinlin.
international conference on signal processing | 2008
Guo Zhichuan; Wang Jinlin; Ni Hong
In this paper, we proposed a low computational complexity lossless data hiding method. The data hiding method is based on modulus function. The basic idea of the algorithm is to compress the host data to create room for watermark. After watermark extraction, the host data can be exactly recovered. The algorithm also can be applied to near lossless data hiding with little modification. The low complexity lossless data hiding algorithm has successfully applied to speech signals and the hiding capacity is large. Finally, the experimental results have been given and the conclusions have been drawn.
computer science and software engineering | 2008
Wang Jinlin; Chen Xi; Zhou Kefa; Wang Wei
Sequential pattern has important applications in many areas and a large number of data and patterns need efficient and scalable parallel algorithm. In light of the widespread problem in current sequential pattern data mining algorithm and on the basis of researching the data mining algorithm of serial sequential pattern, a data mining algorithm of parallel sequential pattern is presented in this paper. Through theoretical analysis and experimental verification, the parallel data mining algorithm can well improve the efficiency of data mining in massive data circumstances.
Archive | 2012
Wang Qianfeng; Zhou Kefa; Sun Li; Qin Yanfang; Li Guangyu; Wang Jinlin; Li Man; Chen Limou
In order to predict the spatial distribution of land cover of different topographic factors, a quantitative research on the effects of elevation and slope factors on the process of land cover change during 1980-2007 were conducted using RS(remote sensing) and GIS(geographic information system) technology. Yuli county in Xinjiang is chose as the research area, two periods of MSS/TM remote sensing images in 1980 and 2007 and 1:50000 topographic map were taken as main data sources. The results showed that: during the past three decades: the area of cropland, forest-grass land, water, and construction land changed prominently, cropland mainly was converted into forest-grass land, water mainly converted into the forest-grass land; construction land expanded into the extent of high elevation; cropland and the construction land were distributed consistently on gradient, change trends of both land covers were identical, and expanded into the region of steeper slope; the forest-grass land with 3o; the water body kept reducing across the whole region. The changes of land use were mainly caused by topographic factors and social economy. It is feasible to predict the spatial distribution of land cover based on topographic data, remote sensing images and socioeconomic data, the results provided scientific basis for eco-environment evaluation and sustainable development in the region.
international symposium on electronic commerce and security | 2010
Wang Wei; Sun Bao-sheng; Zhou Kefa; Zhao Xia; Wang Jinlin
These GPS techniques can be stated as static, kinematic, semi-kinematic and on the other hand, with respect to the special precision requirements of different applications, they can also be stated as relative, absolute and DGPS techniques. RTK GPS has seen great technological advances over the past few years and is now routinely used in a wide variety of engineering type applications. evaluate RTK performance near the forest and in an urban environment under varying site conditions, and expected problems due to signal blockage and data latency.
environmental science and information application technology | 2009
Chang Cun; Chen Xi; Bao Anming; Ma Zhongguo; Wang Jinlin
Estimation of vegetation water content is central to the understanding of water cycle processes. The information of vegetation water content presents the healthy condition of the plant. Various methods were used to extract vegetation water content in semiarid area, however, Spectral indices were still widely used. In this paper, a global sensitivity analysis (GSA) using PROSPECT model was used to understand and quantify vegetation water content effects on the signal measured at leaf level. The NIR region was therefore required in combination with SWIR to retrieve equivalent water thickness (EWT). An index EWTsparsecanopy was created to provide an operational method for quantitatively retrieving vegetation water content at satellite scale in a rapid and reliable fashion for sparsely vegetated arid area based in tarim river basin. Compared with EWTcanopy,the former one had a better relationship to normalized difference infrared index(NDII), With the R2 =0.553. Finally, the regression equation(Y=0.05552 +0.53512*NDII) was used to estimate EWT sparsecanopy from the Landsat TM imagery.
international conference on signal processing | 2006
Qiao YuFeng; Ni Hong; Pan Liang; Wang Jinlin; Zhang Chunhua
This paper presents the hardware design and implementation of high speed data transport in hardware platform. In the hardware platform there are three different high frequency parts to be thought over in hardware design; the performance of the whole hardware system is due to how to deal with them. Surface coplanar waveguide (CPW) with ground and surface microstrip structures are applied to the whole hardware design. The theory and design are discussed in detail, the good performance of small batch product prove the correctness of impedance design
Archive | 2013
Li Songbin; Wang Jinlin; Wang Lingfang
Archive | 2005
Wang Jinlin; Peng Hongqing; Zeng Xuewen
international workshop on education technology and training & international workshop on geoscience and remote sensing | 2008
Wang Jinlin; Chen Xi; Zhou Kefa; Wang Wei; Zhang Dan
Archive | 2014
Liu Lei; Zheng Yanwei; Wang Jinlin; Dong Yuanyuan