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  • Open Access

    ARTICLE

    Prediction of Permeability Using Random Forest and Genetic Algorithm Model

    Junhui Wang1, Wanzi Yan1, Zhijun Wan1,*, Yi Wang2,*, Jiakun Lv1, Aiping Zhou3

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1135-1157, 2020, DOI:10.32604/cmes.2020.014313

    Abstract Precise recovery of Coalbed Methane (CBM) based on transparent reconstruction of geological conditions is a branch of intelligent mining. The process of permeability reconstruction, ranging from data perception to real-time data visualization, is applicable to disaster risk warning and intelligent decision-making on gas drainage. In this study, a machine learning method integrating the Random Forest (RF) and the Genetic Algorithm (GA) was established for permeability prediction in the Xishan Coalfield based on Uniaxial Compressive Strength (UCS), effective stress, temperature and gas pressure. A total of 50 sets of data collected by a self-developed apparatus were used to generate datasets for… More >

  • Open Access

    ARTICLE

    Multiple Images Steganography of JPEG Images Based on Optimal Payload Distribution

    Yang Pei1,2, Xiangyang Luo1,2,*, Yi Zhang2, Liyan Zhu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 417-436, 2020, DOI:10.32604/cmes.2020.010636

    Abstract Multiple images steganography refers to hiding secret messages in multiple natural images to minimize the leakage of secret messages during transmission. Currently, the main multiple images steganography algorithms mainly distribute the payloads as sparsely as possible in multiple cover images to improve the detection error rate of stego images. In order to enable the payloads to be accurately and efficiently distributed in each cover image, this paper proposes a multiple images steganography for JPEG images based on optimal payload redistribution. Firstly, the algorithm uses the principle of dynamic programming to redistribute the payloads of the cover images to reduce the… More >

  • Open Access

    ARTICLE

    Simulation and Data Analysis of Energy Recovery Sensing on a Parallel Hydraulic Hybrid Crane

    Youquan Chen, Xinhui Liu, Xin Wang, Jinshi Chen

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 613-622, 2018, DOI:10.31209/2018.100000028

    Abstract In order to study the braking energy regeneration characteristics of the Frontmounted Parallel Hydraulic Hybrid Crane (FPHHC), the AMESim simulation models are established and analyzed by establishing the vehicle dynamics model and referencing to the actual data of the crane and physical hydraulic components, the simulation results are verified by road tests on the experimental prototype. The experiment results basically match with the simulation results. In the vehicle braking process, the hydraulic hybrid system of the experimental prototype can effectively recycle the vehicle braking energy, the energy recovery rate is up to 50.84%, and the energy-saving effect is obvious. The… More >

  • Open Access

    ARTICLE

    Based on Compressed Sensing of Orthogonal Matching Pursuit Algorithm Image Recovery

    Caifeng Cheng1,2, Deshu Lin3,*

    Journal on Internet of Things, Vol.2, No.1, pp. 37-45, 2020, DOI:10.32604/jiot.2020.09116

    Abstract Compressive sensing theory mainly includes the sparsely of signal processing, the structure of the measurement matrix and reconstruction algorithm. Reconstruction algorithm is the core content of CS theory, that is, through the low dimensional sparse signal recovers the original signal accurately. This thesis based on the theory of CS to study further on seismic data reconstruction algorithm. We select orthogonal matching pursuit algorithm as a base reconstruction algorithm. Then do the specific research for the implementation principle, the structure of the algorithm of AOMP and make the signal simulation at the same time. In view of the OMP algorithm reconstruction… More >

  • Open Access

    ARTICLE

    A Key Recovery System Based on Password-Protected Secret Sharing in a Permissioned Blockchain

    Gyeong-Jin Ra1, Chang-Hyun Roh1, Im-Yeong Lee1, *

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 153-170, 2020, DOI:10.32604/cmc.2020.011293

    Abstract In today’s fourth industrial revolution, various blockchain technologies are being actively researched. A blockchain is a peer-to-peer data-sharing structure lacking central control. If a user wishes to access stored data, she/he must employ a private key to prove ownership of the data and create a transaction. If the private key is lost, blockchain data cannot be accessed. To solve such a problem, public blockchain users can recover the key using a wallet program. However, key recovery in a permissioned blockchain (PBC) has been but little studied. The PBC server is Honest-but-Curious (HBC), and should not be able to learn anything… More >

  • Open Access

    ARTICLE

    Development and Application of a Production Data Analysis Model for a Shale Gas Production Well

    Dongkwon Han, Sunil Kwon*

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.3, pp. 411-424, 2020, DOI:10.32604/fdmp.2020.08388

    Abstract This paper presents the development and application of a production data analysis software that can analyze and forecast the production performance and reservoir properties of shale gas wells. The theories used in the study were based on the analytical and empirical approaches. Its reliability has been con- firmed through comparisons with a commercial software. Using transient data relating to multi-stage hydraulic fractured horizontal wells, it was confirmed that the accuracy of the modified hyperbolic method showed an error of approximately 4% compared to the actual estimated ultimate recovery (EUR). On the basis of the developed model, reliable productivity forecasts have… More >

  • Open Access

    ARTICLE

    Probiotics enhance the recovery of gut atrophy in experimental malnutrition

    DIANA B. DOCK*, JOSÉ E. AGUILAR-NASCIMENTO**, MARCIA Q. LATORRACA*

    BIOCELL, Vol.28, No.2, pp. 143-150, 2004, DOI:10.32604/biocell.2004.28.143

    Abstract AIM: The aim of this study was to evaluate the effect of probiotics on the recovery of the bowel atrophy induced by malnutrition in rats. METHODS: Twenty-and-six Wistar rats (200-250g) were fed with either a normoproteic (sham group, n=6) or a free-protein diet (n=20) during 12 days. Twelve malnourished rats were randomized to recover during 15 days with either a hydrolyzed diet (control group, n=6) or the same diet enriched with probiotics (Streptococcus thermophilus and Lactobacillus helveticus; probiotic group, n=6). RESULTS: Probiotic group showed similar gain of body, liver and bowel weight than controls. At the jejunum, both the villus… More >

  • Open Access

    REVIEW

    Brief Note: A glass bead protocol for recovery of host cell free Ehrlichia canis and quantification by Sybr-green real-time PCR

    G. P. CARDOZO1 , E. V. SANTOS1 , A. L. FACHIN1, S. C. FRANÇA1 , AND M. MARINS1,2,*

    BIOCELL, Vol.35, No.1, pp. 35-36, 2011, DOI:10.32604/biocell.2011.35.035

    Abstract E. canis infection of the canine cell line DH82 is a routine in studies with this bacteria. A protocol for isolation of host cell free bacteria was developed based on the use of glass beads. Improvement of infection with E. canis isolated by this method was detected by real-time PCR. More >

  • Open Access

    ARTICLE

    Comparative effectiveness of two nitrogen sources for corn fertilization

    Copperi MZ1, ME M,olesi2, MA Cantamutto2, MM Ron2

    Phyton-International Journal of Experimental Botany, Vol.82, pp. 99-106, 2013, DOI:10.32604/phyton.2013.82.099

    Abstract Corn has not only a high growth potential and a great capacity of biological response to suitable crop management but also may contribute to a better match of crops with environmental offer in Argentina. Nitrogen (N) fertilization must make provision for eventual N losses, and fertilization strategies must be designed so as to minimize their global incidence. The different quick-release N sources show similar efficiencies when they are incorporated, but in surface applications, sources that contain little or no amidic N have a better performance than urea (U). The objective of this paper was to make an evaluation of corn… More >

  • Open Access

    ARTICLE

    A Parametric Study of Mesh Free Interpolation Based Recovery Techniques in Finite Element Elastic Analysis

    Mohd. Ahmed1,*, Mohamed Hechmi El Ouni1, Devinder Singh2, Nabil Ben Kahla1

    CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.2, pp. 687-786, 2019, DOI:10.32604/cmes.2019.06886

    Abstract The paper presents a parametric study on interpolation techniques based postprocessed error estimation in finite element elastic analysis by varying important parameters of recovery, interpolation scheme and type of patch construction. The quality of error estimation with recovery parameters is compared in terms of local and global effectivity of error estimation, rate of error convergence, and adaptively refined meshes. A mesh free moving least square interpolation technique with proven reliability and effectivity is introduced for improving the recovery of finite element solution errors. The post-processed finite element solutions of elastic problems are presented for performance study under different parameters of… More >

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