Open Access
EDITORIAL
Qianxin Wang1,*, Allison Kealy2, Shengjie Zhai3
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 245-247, 2019, DOI:10.32604/cmes.2019.06589
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract This article has no abstract. More >
Open Access
ARTICLE
Muhammad Arsalan1, Falin Wu1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 249-261, 2019, DOI:10.32604/cmes.2019.04430
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract A good design of LNA for S band satellite navigation receivers and 4G LTE wireless communication system has been implemented in this paper. Due to increased congestion in the present L band, the S Band frequency from 2483.5-2500 MHz has been allocated for the future satellite navigation systems. For this purpose ATF-34143 amplifier (pHEMT) having high electron mobility and fast switching response has been chosen due to its very low Noise Figure (NF). The amplifier has been designed having bandwidth of 0.8 GHz from 1.8-2.6 GHz. Because of the large bandwidth, the amplifier could serve many wireless communication applications including… More >
Open Access
ARTICLE
Zhangzhen Sun1, Tianhe Xu1,*, Fan Gao1, Chunhua Jiang1, Guochang Xu1
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 263-280, 2019, DOI:10.32604/cmes.2019.04425
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract Abnormal effects in GPS broadcast ephemerides can have a significant effect on real-time navigation and positioning solutions that use the orbit and clock error data provided by GPS broadcast ephemerides. This paper describes three types of non-integer-hour navigation data in GPS broadcast ephemeris data. Compared with GPST integer hour data, we find that there are two types of data blocks for non-integer-hour navigation containing gross errors with different levels of precision, which is reflected in the user range accuracy (URA) of the broadcast ephemeris. These gross errors can cause large deviations when using the GPS broadcast ephemeris for orbit calculation… More >
Open Access
ARTICLE
Shouzhou Gu1,*, Jinzhong Bei1, Chuang Shi2, Yaming Dang1, Zuoya Zheng4, Congcong Cui5
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 281-293, 2019, DOI:10.32604/cmes.2019.04421
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract With the development of various navigation systems (such as GLONASS, Galileo, BDS), there is a sharp increase in the number of visible satellites. Accordingly, the probability of multiply gross measurements will increase. However, the conventional RAIM methods are difficult to meet the demands of the navigation system. In order to solve the problem of checking and identify multiple gross errors of receiver autonomous integrity monitoring (RAIM), this paper designed full matrix of single point positioning by QR decomposition, and proposed a new RAIM algorithm based on fuzzy clustering analysis with fuzzy c-means (FCM). And on the condition of single or… More >
Open Access
ARTICLE
Yan Zou1,2,3,*, Shaoliang Zhang1, Yanhai Min1
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 295-310, 2019, DOI:10.32604/cmes.2019.03873
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract The high precision population forecasting and spatial distribution modeling are very important for the theory and application of population sociology, city planning and Geo-Informatics. However, the two problems need to be solved for providing the high precision population information. One is how to improve the population forecasting precision of small area (e.g., street scale); another is how to improve the spatial resolution of urban population distribution model. To solve the two problems, some new methods are proposed in this contribution. (1) To improve the precision of small area population forecasting, a new method is developed based on the fade factor… More >
Open Access
ARTICLE
Yang Liu1, Zeying Lan4, Hanfa Xing2,3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 311-330, 2019, DOI:10.32604/cmes.2019.04284
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract Web maps represent an effective source for land cover mapping in capturing human activities. However, due to spatial heterogeneity, previous research has mainly focused on generating land cover maps in partial areas. Inferring spatial distribution patterns in Web maps may provide an alternative perspective on improving map production on a larger scale. This paper represents a novel approach to investigating the spatial distribution in Web maps for land cover mapping. First, linear features from Web maps are utilised to delineate parcels with insufficient Web map data for classification. Then, spatial factors are constructed from point and polygon features to identify… More >
Open Access
ARTICLE
Lihui Wang1, Feng Qi1, Xin Shen2,3,*, Jinliang Huang1
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 331-348, 2019, DOI:10.32604/cmes.2019.04268
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract Multiple cropping index (MCI) is a very important indicator in crop production and agricultural intensification, which represents the utilizing degree of agriculture resources at time scale and the effective utilization situation of arable land. The objective of this paper is monitoring multiple cropping index of Henan province of China according to the time series of MODIS (Moderate-Resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) after Savitzky-Golay filter processing from the year 2006 to 2011.The results revealed that this method could provide an effective way to monitor multiple cropping index, and the method of no additional authentication data is independent and reliable.… More >
Open Access
ARTICLE
Y,ong Gao1, Shubi Zhang1,*, Kefei Zhang2,*, Shijin Li1
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 349-363, 2019, DOI:10.32604/cmes.2019.03943
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract Interferometric phase filtering is one of the key steps in interferometric synthetic aperture radar (InSAR/SAR). However, the ideal filtering results are difficult to obtain due to dense fringe and low coherence regions. Moreover, the InSAR/SAR data range is relatively large, so the efficiency of interferential phase filtering is one of the major problems. In this letter, we proposed an interferometric phase filtering method based on an amended matrix pencil and linear window mean filter. The combination of the matrix pencil and the linear mean filter are introduced to the interferometric phase filtering for the first time. First, the interferometric signal… More >
Open Access
ARTICLE
Lingjie Yu1,2, Guanlin Wang1, Chao Zhi1, Bugao Xu1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 365-372, 2019, DOI:10.32604/cmes.2019.04494
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract A fibrous filtering material is a kind of fiber assembly whose structure exhibits a three-dimensional (3D) network with dense microscopic open channels. The geometrical/morphological attributes, such as orientations, curvatures and compactness, of fibers in the network is the key to the filtration performance of the material. However, most of the previous studies were based on materials’ 2D micro-images, which were unable to accurately measure these important 3D features of a filter’s structure. In this paper, we present an imaging method to reconstruct the 3D structure of a fibrous filter from its optical microscopic images. Firstly, a series of images of… More >
Open Access
ARTICLE
Shuangsheng Zhang1,5, Hanhu Liu1, Jing Qiang2,*, Hongze Gao3,*, Diego Galar4, Jing Lin4
CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 373-394, 2019, DOI:10.32604/cmes.2019.03825
（This article belongs to this Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)
Abstract Coupling Bayes’ Theorem with a two-dimensional (2D) groundwater solute advection-diffusion transport equation allows an inverse model to be established to identify a set of contamination source parameters including source intensity (M ), release location ( X0 , Y0) and release time (T0), based on monitoring well data. To address the issues of insufficient monitoring wells or weak correlation between monitoring data and model parameters, a monitoring well design optimization approach was developed based on the Bayesian formula and information entropy. To demonstrate how the model works, an exemplar problem with an instantaneous release of a contaminant in a confined groundwater… More >
Login
Register
Submit a Paper
Propose a Special lssue