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  • Open Access

    ARTICLE

    A New Generalized Weibull Model: Classical and Bayesian Estimation

    Mi Zichuan1, Saddam Hussain1, Zubair Ahmad2,*, Omid Kharazmi3, Zahra Almaspoor2

    Computer Systems Science and Engineering, Vol.38, No.1, pp. 79-92, 2021, DOI:10.32604/csse.2021.015146 - 01 April 2021

    Abstract Statistical distributions play a prominent role in applied sciences, particularly in biomedical sciences. The medical data sets are generally skewed to the right, and skewed distributions can be used quite effectively to model such kind of data sets. In the present study, therefore, we propose a new family of distributions suitable for modeling right-skewed medical data sets. The proposed family may be called a new generalized-X family. A special sub-model of the proposed family called a new generalized-Weibull distribution is discussed in detail. The maximum likelihood estimators of the model parameters are obtained. A brief Monte… More >

  • Open Access

    ARTICLE

    Windowing Techniques, the Welch Method for Improvement of Power Spectrum Estimation

    Dah-Jing Jwo1,*, Wei-Yeh Chang1, I-Hua Wu2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3983-4003, 2021, DOI:10.32604/cmc.2021.014752 - 01 March 2021

    Abstract This paper revisits the characteristics of windowing techniques with various window functions involved, and successively investigates spectral leakage mitigation utilizing the Welch method. The discrete Fourier transform (DFT) is ubiquitous in digital signal processing (DSP) for the spectrum analysis and can be efficiently realized by the fast Fourier transform (FFT). The sampling signal will result in distortion and thus may cause unpredictable spectral leakage in discrete spectrum when the DFT is employed. Windowing is implemented by multiplying the input signal with a window function and windowing amplitude modulates the input signal so that the spectral… More >

  • Open Access

    REVIEW

    A Review of Leakage and Dispersion of LNG on the Ground

    Shi-er Dong1, Yiqing He1,*, Jingya Dong2, Zhouyu Peng3, Guohua Fu3

    Energy Engineering, Vol.118, No.1, pp. 103-118, 2021, DOI:10.32604/EE.2020.012362 - 17 November 2020

    Abstract Based on the analysis of the whole process of LNG spill on land, the research methods of LNG pool expansion and heavy gas diffusion are summarized and analyzed. This paper reviews the experimental and analytical work performed to data on spill of LNG. Specifically, experiments on the spill of LNG onshore, as well as experiments and numerical study on heavy gas dispersion. Pool boiling and turbulence model are described and discussed, as well as models used to predict dispersion. Although there have been significant progress in understanding the behavior of LNG spills, technical knowledge gaps More >

  • Open Access

    ARTICLE

    Numerical Study on the Gas Leakage and Dispersion at the Street Intersection of a Building Group

    Weitao Zhang1, 2, Mengqi Liu3, Kaiyi Wang4, Fan Zhang2, Lei Hou1, *

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.3, pp. 1247-1266, 2020, DOI:10.32604/cmes.2020.09297 - 28 May 2020

    Abstract Accidents involving natural gas leakage and dispersion pose a significant threat to human life and property. This threat is especially relevant at the street intersection at which dense buildings, heavy traffic flow, and complex underground pipe networks meet. Scholars have conducted numerous studies on gas leakage and dispersion, but investigations of natural gas leakage and dispersion at the street intersection of a building group are not in-depth. In this paper, we presented a three-dimensional (3D) physical model based on the Computational Fluid Dynamic (CFD) methodology to study the natural gas leakage and dispersion at the… More >

  • Open Access

    ARTICLE

    Fine-Grained Binary Analysis Method for Privacy Leakage Detection on the Cloud Platform

    Jiaye Pan1, Yi Zhuang1, *, Xinwen Hu1, 2, Wenbing Zhao3

    CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 607-622, 2020, DOI:10.32604/cmc.2020.09853 - 20 May 2020

    Abstract Nowadays cloud architecture is widely applied on the internet. New malware aiming at the privacy data stealing or crypto currency mining is threatening the security of cloud platforms. In view of the problems with existing application behavior monitoring methods such as coarse-grained analysis, high performance overhead and lack of applicability, this paper proposes a new fine-grained binary program monitoring and analysis method based on multiple system level components, which is used to detect the possible privacy leakage of applications installed on cloud platforms. It can be used online in cloud platform environments for fine-grained automated… More >

  • Open Access

    ARTICLE

    Numerical Study on the Leakage and Diffusion Characteristics of Low-Solubility and Low-Volatile Dangerous Chemicals from Ship in Inland Rivers

    Shuifen Zhan1, 2, 3, Mingchao Wang2, *, Min Wang5, *, Qianqian Shao4, Zefang Zhang3, Wenxin Jiang2, Xuemin Chen1

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 217-235, 2020, DOI:10.32604/cmes.2020.08289 - 01 April 2020

    Abstract Considering the accidents of ships for dangerous chemicals transportation in inland rivers, a numerical method for the simulation of the leakage and diffusion processes of dangerous chemicals in inland rivers is proposed in this paper. Geographic information, such as rivers and buildings in the model, is obtained through Google Earth and structures of rivers and buildings are described by Auto CAD. In addition, the Fluent is adopted to simulate the leakage and diffusion processes of the dangerous chemicals where the standard k-ε model is used to calculate the turbulent flow. Considering the interaction between chemicals and… More >

  • Open Access

    ARTICLE

    Agglomeration Effects on Static Stability Analysis of Multi-Scale Hybrid Nanocomposite Plates

    Farzad Ebrahimi1, Ali Dabbagh2, Abbas Rastgoo2, Timon Rabczuk3, *

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 41-64, 2020, DOI:10.32604/cmc.2020.07947 - 30 March 2020

    Abstract We propose a multiscale approach to study the influence of carbon nanotubes’ agglomeration on the stability of hybrid nanocomposite plates. The hybrid nanocomposite consists of both macro- and nano-scale reinforcing fibers dispersed in a polymer matrix. The equivalent material properties are calculated by coupling the Eshelby-Mori-Tanaka model with the rule of mixture accounting for effects of CNTs inside the generated clusters. Furthermore, an energy based approach is implemented to obtain the governing equations of the problem utilizing a refined higher-order plate theorem. Subsequently, the derived equations are solved by Galerkin’s analytical method to predict the More >

  • Open Access

    ARTICLE

    Detecting Android Inter-App Data Leakage Via Compositional Concolic Walking

    Tianjun Wu, Yuexiang Yang

    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 755-766, 2019, DOI:10.31209/2019.100000079

    Abstract While many research efforts have been around auditing individual android apps, the security issues related to the interaction among multiple apps are less studied. Due to the hidden nature of Inter-App communications, few existing security tools are able to detect such related vulnerable behaviors. This paper proposes to perform overall security auditing using dynamic analysis techniques. We focus on data leakage as it is one of the most common vulnerabilities for Android applications. We present an app auditing system AppWalker, which uses concolic execution on a set of apps. We use static Inter-App taint analysis… More >

  • Open Access

    ARTICLE

    Leak Detection of Gas Pipelines Based on Characteristics of Acoustic Leakage and Interfering Signals

    Lingya Meng1, *, Cuiwei Liu2, Liping Fang2, Yuxing Li2, Juntao Fu3

    Sound & Vibration, Vol.53, No.4, pp. 111-128, 2019, DOI:10.32604/sv.2019.03835

    Abstract When acoustic method is used in leak detection for natural gas pipelines, the external interferences including operation of compressor and valve, pipeline knocking, etc., should be distinguished with acoustic leakage signals to improve the accuracy and reduce false alarms. In this paper, the technologies of extracting characteristics of acoustic signals were summarized. The acoustic leakage signals and interfering signals were measured by experiments and the characteristics of time-domain, frequency-domain and time-frequency domain were extracted. The main characteristics of time-domain are mean value, root mean square value, kurtosis, skewness and correlation function, etc. The features in More >

  • Open Access

    ARTICLE

    The Origin and Identity of the Calyculus in Loranthaceae: Inferred From the Floral Organogenesis of Loranthus tanakae Franch. & Sav.

    Ruozhu Lin1, Bei Cui1,2 and Wenxia Zhao1,*

    Phyton-International Journal of Experimental Botany, Vol.88, No.3, pp. 285-293, 2019, DOI:10.32604/phyton.2019.07182

    Abstract The flowers of the hemiparasitic family Loranthaceae are always subtended by a rimmed structure known as the calyculus. The origin and identity of the calyculus have been disputed for more than a century. Various hypotheses have been proposed, for example, an outgrowth of the axis, a reduced calyx, and a bracteolar (prophyllar) origin, but controversies remain. To obtain a plausible explanation of the origin of the calyculus, we investigated the flowers of Loranthus tanakae using scanning electron microscopy and light microscopy to observe the entire developmental process of the floral parts. Our results show that… More >

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