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We present a novel absorber based on a periodic array of parallel-plate waveguide. With the assistance of a layer of lumped circuit that consists resistors, capacitors on top the parallel-plate waveguide, the absorber designed working at microwave L, and S band performs high absorption in a broadband frequency range. The reflectivity of −10dB covers the frequencies 1.4–5.5 GHz with relative absorption...
In the field of the fabrication of micro- and nano-spheres, the phenomenon of Plateau-Rayleigh instability has drawn more and more attention. This surface tension-driven instability in two immiscible fluids can be used to generate uniformly size micro- and nano-spheres by imposing an external mechanical excitation. In this article, we mainly adopt numerical simulation method to study the effects of...
This paper reports a new method for controlling micro- and nano-droplets by the aid of heat. Computational fluid dynamics (CFD) simulation results suggest this technique is capable of conveniently controlling the droplets sizes down to several micrometers or even nanometers. This pilot research offers the possibility of fabricating micro-droplet with specific size and without changing the fluid. Three...
The vanadium oxide thin films are prepared on zinc selenide by DC magnet sputtering method. The components are gotten using The X-ray photoelectron spectroscopy (XPS). It's phase transition temperature can be changed by doping. Utilizing the Castep program package of the Material Studio simulation tool, based on local density function approximation and pseudopotential method, optimization for the...
The vanadium oxide thin films are prepared on zinc selenide by DC magnet sputtering method. The optical character changing of vanadium oxide thin films are tested by CO2 laser, some phenomena is observed. The components are gotten by The X-ray photoelectron spectroscopy (XPS). By utilizing the Castep program package of the Material Studio simulation tool, based on local density function approximation...
The transformation of cDNA into plant is still not carried out directly by a universal transgenic vector, hence it is not convenient for the transgenic application of those function-important cDNAs. Herein we introduced a rapid, cost-effective PCR-based DNA synthesis method to construct a new universal plant overexpression vector for the direct inserting of target cDNA during transgenic application...
Antifreeze protein (AFP) can help organisms survive from freezing condition by thermal hysteresis activity to control ice growth and by recrystallization inhibition activity to inhibit recrystallization of ice granules, respectively. By bioinformatics methods especially protein docking, the newly developed models of surface complementarity were used to obtain the molecular models of AFPs and hence...
In recent years, many document image retrieval algorithms have been proposed. However, most of the current approaches either need good quality images or depend on the page layout structure. This paper presents a fast, accurate and OCR-free image retrieval algorithm using local feature sequences which can describe the intrinsic, unique and page-layout-free characteristics of document images. With a...
The E.coli expressed carrot antifreeze protein (DcAFP) was purified by preparative HPLC, refolded by dialysis, and checked by analytical HPLC and SDS-PAGE. The gradient-concentrations of DcAFP in 3% glycerol were used to cryopreserve rice single cell by vitrification at -25degC, -75degC and -180degC. The result showed that DcAFP, at optimal concentration of 0.1 mg/ml, can visibly inhibit the liquid...
In this paper, we introduce and study a new system of variational inclusions with (A, eta) accretive operators in real q-uniformly smooth Banach spaces. By using the resolvent operator technique associated with (A, eta) accretive operators, we construct some new iterative algorithm for approximating the solution of this system of variational inclusion. And we prove the existence and uniqueness of...
It is well known that the variational inclusions are equivalent to the fixed point problems. A hybrid proximal point algorithm is considered for solving the general variational inclusions. And convergence analysis for this algorithm is explored along with some results on the resolvent operator corresponding to (A, eta)-maximal operators.
In this paper, we present local patterns constrained image histograms (LPCIH) for efficient image retrieval. Extracting information through combining local texture patterns with global image histogram, LPCIH is an effective image feature representation method with a flexible image segmentation process. This kind of feature representation is robust and invariant for several image transforms, such as...
Diversity among the team has been recognized as a very important characteristic in classifier combination. There are varied diversity measures. They can be categorized into two types, pairwise diversity measures and non-pairwise diversity measures. Above diversity measures are defined based on Oracle outputs of classifier. While using diversity measures to calculate diversity of classifiers that have...
The extractive of wood chips of papermaking consumes many bleaching agents and adhesives, which have serious influences on the wood-based paper quality and increase more difficulties on the treatment of both wastewater and black-liquid for wood industry and paper mill. Therefore, wastewater from chip pretreatment increasingly becomes a difficult and urgent issue. In order to better recover and utilize...
This paper proposes a method based on forecasting error to acquire the variable weights since the fixed weight combinations cannot attain a satisfactory result because the forecasting accuracy of each individual model is variable at different time. The innovation of this paper lies in that this method can be generalized to two-time, three-time or more-time combining forecasts.
Weighted fuzzy production rules enhance the knowledge representation power of rule. This paper proposes a way to generate weighted fuzzy production rules using neural networks. First the knowledge in the data is transformed into neural network. Through analysis of the weights of the neural network, a matrix of importance index is constructed. Then weighted fuzzy production rules are extracted from...
In this paper, an algorithm of learning a simple type of Bayesian network-Bayesian spanning tree with maximum log-likelihood is presented. The log likelihood function is used to measure the Bayesian spanning tree with respect to given documents data. In a Bayesian spanning tree, besides the root node, each node has at most two parent nodes. The Bayesian spanning tree is an unsupervised classifier...
Autonomic computing middleware is a promising way to enable middleware based systems to cope with the rapid and continuous changes in the era of Internet. Technically, there have been three fundamental and challenging capabilities to an autonomic computing middleware, including how to monitor, reason and control middleware platform and applications. This position paper presents a reflection-based...
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