Dinesh Balgude, Anagha Sabnis^*

Journal of Renewable Materials, Vol.4, No.2, pp. 146-157, 2016, DOI:10.7569/JRM.2015.634117

Abstract The performance properties of conventional polymeric material have been investigated by modifying it with cashew nut shell liquid (CNSL) derived hybrid precursor. The synthesis of hybrid material involved formation of maleic anhydride adduct of CNSL followed by silane modifi cation and subsequent hydrolysis and condensation with tetra ethyl orthosilicate. The developed hybrid material was characterized by a number of instrumental techniques like FT-IR, 1H-NMR and 13C-NMR, as reported in our earlier work. In the present work, we have investigated the effect of CNSL-based hybrid material on the performance properties of conventional alkyd-melamine formaldehyde-based stoving system.… More >

Itxaso Algar¹, Clara Garcia-Astrain¹, Alba Gonzalez², Loli Martin³, Nagore Gabilondo¹, Aloña Retegi^1*, Arantxa Eceiza^1*

Journal of Renewable Materials, Vol.4, No.1, pp. 57-65, 2016, DOI:10.7569/JRM.2015.634124

Abstract Bacterial cellulose/montmorillonite (BCMMT) hybrid bionanocomposite membranes were prepared by in-situ assembling or one-step biosynthesis process. The presence of MMT in BC membranes was confi rmed by thermogravimetric analysis and quantifi ed by mass spectrometry, resulting in bionanocomposites with MMT contents between 7–13 wt%. The incorporation of MMT during BC biosynthesis modifi ed BC morphology and led to lower porosity, even though higher water holding capacity was achieved. Bionanocomposites showed improved thermal stability and water vapor and oxygen gas barrier properties up to 70 and 80% with respect to neat BC membranes. This improvement was related More >

Ramírez Gerardo MG¹, MA Chávez-García², J Mejía-Carranza²

Phyton-International Journal of Experimental Botany, Vol.84, No.2, pp. 397-406, 2015, DOI:10.32604/phyton.2015.84.397

Abstract In the floriculture region of Tenancingo in the State of Mexico, the application of stabilized organic matter, such as vermicompost and leachates, contributes to improve the quality of the soil and plant nutrition. However, it is important to know the chemical composition of a vermicompost and the mineralization process. This is because the amount and speed of nutrient release which will be available to the crop will depend on that knowledge. The objective of the study was to evaluate the effect of the application of a vermicompost and leachates on various quantitative variables of Solidago x… More >

Vital López L, MA Cruz Hernández, S Fernández Dávila, A Mendoza Herrera

Phyton-International Journal of Experimental Botany, Vol.84, No.1, pp. 233-243, 2015, DOI:10.32604/phyton.2015.84.233

Abstract Cultivated surfaces of genetically modified (GM) crops increased year by year, becoming in 2012 more extensive in developed than in industrialized countries. Furthermore, it has been postulated that the plant is which leads to the selection of the microorganisms on its root exudates, creating specific conditions which in turn regulate the specific microbial structure of each plant. In this study, our main objective was to examine whether the introduction of transgenic maize herbicide-tolerant plants will impact the microbial structures that inhabit at the rhizosphere and rhizoplane with respect to conventional hybrid maize plants. Bacterial populations More >

Hui Yin¹, Dejie Yu^1,2, Shengwen Yin¹, Baizhan Xia¹

CMES-Computer Modeling in Engineering & Sciences, Vol.109-110, No.3, pp. 221-246, 2015, DOI:10.3970/cmes.2015.109.221

Abstract This paper presents a new hybrid Chebyshev-perturbation method (HCPM) for the prediction of acoustic field with random and interval parameters. In HCPM, the perturbation method based on the first-order Taylor series that accounts for the random uncertainty is organically integrated with the first-order Chebyshev polynomials that deal with the interval uncertainty; specifically, a random interval function is firstly expanded with the first-order Taylor series by treating the interval variables as constants, and the expressions of the expectation and variance can be obtained by using the random moment method; then the expectation and variance of the More >

Chengxi Li¹

CMES-Computer Modeling in Engineering & Sciences, Vol.107, No.2, pp. 125-153, 2015, DOI:10.3970/cmes.2015.107.125

Abstract Applying an efficient numerical wave absorption method is very important for realization of an open sea condition especially for long time numerical fluid structure interaction simulation. This paper proposed a hybrid numerical wave absorption method for the fully nonlinear fluid structure simulation. A numerical code “QBEM” which is based on the quadratic boundary element method is applied to evaluate the efficiency of the wave absorption methods and damping schemes by checking the energy conservation and wave elevation in the computational domain. Specifically, we conduct a 3D numerical wave tank experiment to find the bestperforming damping More >

Zhimin Chen^1,2, Yuanxin Qu¹, Tongshuang Zhang¹, Xiaoshu Bai¹, Xiaohong Tao¹, Yong Liu¹

CMES-Computer Modeling in Engineering & Sciences, Vol.106, No.6, pp. 379-393, 2015, DOI:10.3970/cmes.2015.106.379

Abstract Particle swarm optimization algorithm based particle filter is trapping in local optimum easily, it is not able to satisfy the requirement of modern integrated navigation system. In order to solve the problem, A novel particle filter algorithm based on hybrid adaptive particle swarm optimization(HPSO-PF) is presented in this paper. This improved particle filter will conduce to finding the ideal solution domain by making use of the global convergence of artificial fish swarm and enhancement of fusion precision by guiding particles to move toward the high likelihood area through particle swarm optimization. Finally different models are More >

Foad Nazari¹, Mohammad Hossein Abolbashari^1,2, Seyed Mahmoud Hosseini³

CMES-Computer Modeling in Engineering & Sciences, Vol.105, No.4, pp. 271-299, 2015, DOI:10.3970/cmes.2015.105.271

Abstract Present study is concerned with three dimensional natural frequency analysis of functionally graded sandwich rectangular plates using Meshless Local Petrov-Galerkin (MLPG) method and Artificial Neural Networks (ANNs).The plate consists of two homogeneous face sheets and a power-law FGM core. Natural frequencies of the plate are obtained by 3D MLPG method and are verified with available references. Convergence study of the first four natural frequencies for different node numbers is the next step. Also, effects of two parameters of “FG core to plate thickness ratio” and “volume fraction index” on natural frequencies of plate are investigated. More >

R. Sujatha¹, M. Ramakrishnan², N. Duraipandian³, B. Ramakrishnan⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.105, No.1, pp. 47-68, 2015, DOI:10.3970/cmes.2015.105.047

Abstract The functions of digital signature and public key encryption are simultaneously fulfilled by signcryption, which is a cryptographic primitive. To securely communicate very large messages, the cryptographic primitive called signcryption efficiently implements the same and while most of the public key based systems are suitable for small messages, hybrid encryption (KEM-DEM) provides a competent and practical way. In this paper, we develop a hybrid signcryption technique. The hybrid signcryption is based on the KEM and DEM technique. The KEM algorithm utilizes the KDF technique to encapsulate the symmetric key. The DEM algorithm utilizes the Adaptive More >

Liming Yang¹, Yongping Gao², Qun Sun³

CMES-Computer Modeling in Engineering & Sciences, Vol.104, No.6, pp. 493-506, 2015, DOI:10.3970/cmes.2015.104.493

Abstract Minimax probability machine (MPM) has been recently proposed and shown its advantage in pattern recognition. In this paper, we present a new minimax probabilistic approach (MPA),which can provide an explicit lower bound on prediction accuracy. Applying the Chebyshev-Cantelli inequality, the MPA is posed as a second order cone program formulation and solved effectively. Following that, this method is exploited directly to recognize the purity of hybrid seeds using near-infrared spectroscopic data. Experimental results in different spectral regions show that the proposed MPA is competitive with the existing minimax probability machine and support vector machine in More >