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  • Open Access

    ARTICLE

    An Automated Approach to Generate Test Cases From Use Case Description Model

    Thamer A. Alrawashed1,*, Ammar Almomani2, Ahmad Althunibat1, Abdelfatah Tamimi1

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.3, pp. 409-425, 2019, DOI:10.32604/cmes.2019.04681

    Abstract Test complexity and test adequacy are frequently raised by software developers and testing agents. However, there is little research works at this aspect on specification-based testing at the use case description level. Thus, this research proposes an automatic test cases generator approach to reduce the test complexity and to enhance the percentage of test coverage. First, to support the infrastructure for performing automatic, this proposed approach refines the use cases using use case describing template and save it in the text file. Then, the saved file is input to the Algorithm of Control Flow Diagram… More >

  • Open Access

    ARTICLE

    Inferring Spatial Distribution Patterns in Web Maps for Land Cover Mapping

    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

    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… More >

  • Open Access

    ARTICLE

    LNA Design for Future S Band Satellite Navigation and 4G LTE Applications

    Muhammad Arsalan1, Falin Wu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 249-261, 2019, DOI:10.32604/cmes.2019.04430

    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… More >

  • Open Access

    EDITORIAL

    Introduction for the Special Issue on Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications

    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

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    A Data-Intensive FLAC3D Computation Model: Application of Geospatial Big Data to Predict Mining Induced Subsidence

    Yaqiang Gong1,2, Guangli Guo1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 395-408, 2019, DOI:10.32604/cmes.2019.03686

    Abstract Although big data are widely used in various fields, its application is still rare in the study of mining subsidence prediction (MSP) caused by underground mining. Traditional research in MSP has the problem of oversimplifying geological mining conditions, ignoring the fluctuation of rock layers with space. In the context of geospatial big data, a data-intensive FLAC3D (Fast Lagrangian Analysis of a Continua in 3 Dimensions) model is proposed in this paper based on borehole logs. In the modeling process, we developed a method to handle geospatial big data and were able to make full use of More >

  • Open Access

    ARTICLE

    Optimization of Well Position and Sampling Frequency for Groundwater Monitoring and Inverse Identification of Contamination Source Conditions Using Bayes’ Theorem

    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

    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… More >

  • Open Access

    ARTICLE

    3D Web Reconstruction of a Fibrous Filter Using Sequential Multi-Focus Images

    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

    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, More >

  • Open Access

    ARTICLE

    Frequency Domain Filtering SAR Interferometric Phase Noise Using the Amended Matrix Pencil Model

    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

    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… More >

  • Open Access

    ARTICLE

    Monitoring Multiple Cropping Index of Henan Province, China Based on MODIS-EVI Time Series Data and Savitzky-Golay Filtering Algorithm

    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

    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 More >

  • Open Access

    ARTICLE

    Exploring Urban Population Forecasting and Spatial Distribution Modeling with Artificial Intelligence Technology

    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

    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… More >

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