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Anti-Noise Quantum Network Coding Protocol Based on Bell States and Butterfly Network Model
Get PDFHow to establish a secure and efficient quantum network coding algorithm is one of important research topics of quantum secure communications. Based on the butterfly network model and the characteristics of easy preparation of Bell states, a novel anti-noise quantum network coding protocol is proposed in this paper. The new protocol encodes and transmits classical information by virtue of Bell states. It can guarantee the transparency of the intermediate nodes during information, so that the eavesdropper Eve disables to get any information even if he intercepts the transmitted quantum states. In view of the inevitability of quantum noise in quantum channel used, this paper analyzes the influence of four kinds of noises on the new protocol in detail further, and verifies the efficiency of the protocol under different noise by mathematical calculation and analysis. In addition, based on the detailed mathematical analysis, the protocol has functioned well not only on improving the efficiency of information transmission, throughput and link utilization in the quantum network, but also on enhancing reliability and anti-eavesdropping attacks
A New Method Based on Evolutionary Algorithm for Symbolic Network Weak Unbalance
Get PDFThe symbolic network adds the emotional information of the relationship, that is, the “+” and “-” information of the edge, which greatly enhances the modeling ability and has wide application in many fields. Weak unbalance is an important indicator to measure the network tension. This paper starts from the weak structural equilibrium theorem, and integrates the work of predecessors, and proposes the weak unbalanced algorithm EAWSB based on evolutionary algorithm. Experiments on the large symbolic networks Epinions, Slashdot and WikiElections show the effectiveness and efficiency of the proposed method. In EAWSB, this paper proposes a compression-based indirect representation method, which effectively reduces the size of the genotype space, thus making the algorithm search more complete and easier to get better solutions
Correlation Analysis of Control Parameters of Flotation Process
No full textThe dosage of gold-antimony flotation process of 5 main drugs, including Copper Sulfate, Lead Nitrate, Yellow Medicine, No. 2 Oil, Black Medicine, with corresponding visual features of foam images, including Stability, Gray Scale, Mean R, Mean G, Mean B, Mean Average, Dimension and Degree Variance, were recorded. Parameter correlation analysis showed that the correlation among Copper Sulfate, Yellow Medicine, Black Medicine, as well as the correlation among Gray Scale, Mean R, Mean G, Mean B, is strong, and the correlation among Dimension, Gray Scale, Mean R, Mean G, Mean B, as well as the correlation between Stability and each dosing parameter, is week. It also indicated a feasible way to decrease the complexity of flotation control system by reducing some parameters
Coverless Image Steganography Method Based on Feature Selection
No full textA new information hiding technology named coverless information hiding is proposed. It uses original natural images as stego images to represent secret information. The focus of coverless image steganography method is how to represent image features and establish a map relationship between image feature and the secret information. In this paper, we use three kinds of features which are Local Binary Pattern (LBP), the mean value of pixels and the variance value of pixels. On this basis, we realize the transmission of secret information. Firstly, the hash sequence of the original cover image is obtained according to the description of the feature, and then the sequence of the secret information and the hash sequence of the original cover image are matched one by one. If the values are not the same, the image blocks of the original cover image are replaced according to the secret information to get the stego image. This paper explores the effect of three features on the visual quality of stego image. Experimental results show that the feature LBP is the best
Monitoring Multiple Cropping Index of Henan Province, China Based on MODIS-EVI Time Series Data and Savitzky-Golay Filtering Algorithm
No full textMultiple 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 data is independent and reliable. The result was accurate and stable, the slope of linear regression of the multiple cropping index between the statistical results and the remote sensing results was 1.0136 (R2=0.779). The precision of sample areas validation was 97.91%. Suggesting that the time series MODIS-EVI which after Savitzky-Golay filtering processed, could provide an effective way to extract spatial information of multiple cropping index for management department of agriculture
A Normal Contact Stiffness Model of Joint Surface Based on Fractal Theory
No full textBased on the fractal theory, a normal contact stiffness model is established. In the model, the asperity is initially in elastic deformation under contact interference. As the interference is increased, a transition from elastic to elastoplastic to full plastic deformation occurs in this order. The critical elastic interference, the first elastoplastic critical interference and the second elastoplastic critical interference are scale-dependent. According to the truncated asperity size distribution function, the relations between the total normal contact stiffness and the total contact load are obtained. The results show the total normal contact stiffness depends on the range of frequency indexes of asperities. The normal contact stiffness in elastic deformation is major contribution to the total normal contact stiffness. When the first six frequency indexes are less than the critical elastic frequency index, the dimensionless load-stiffness relation approximately is F*r ~ (K*r)3. When the initial frequency index is greater than the critical elastic frequency index, the dimensionless load-stiffness relation approximately is F*r ~ K*r. The comparison between the theoretical results and the experimental results indicates that the theoretical results are consistent with the experimental data; therefore, the present fractal model of contact stiffness is reasonable
Electroconductive Composites Containing Nanocellulose, Nanopolypyrrole, and Silver Nanoparticles
No full textIn this work, conducting composites of nanocellulose (NC)/polypyrrole nanoparticles (NPPy) and silver nanoparticles (AgNPs), i.e., NC/NPPyAg, were synthesized for the first time, to the best of our knowledge, via in situ emulsion polymerization of pyrrole in the presence of surfactant dopants. The AgNPs acted as an oxidizing agent to simultaneously incorporate nanoparticles into the prepared composites. The structures and morphologies of the prepared composites were studied using Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), UV-Vis Spectra, thermogravimetric analysis (TGA), and scanning and transmission electron microscopy (SEM and TEM) techniques. Additionally, the prepared composites were characterized by their conductivities, and the dielectric constants (ε΄), dielectric losses (ε˝), and AC conductivities were studied for the prepared composites with an increasing NPPy content as a function of the frequency
Analysis of Compression Resistance and Oil Adsorption Capacity of Cellulose/NaOH Cryogels
No full textThis work aimed at analyzing the petroleum adsorption capacity and the compressive strength of cellulose cryogels produced with the addition of 4 and 8% (w/w) sodium hydroxide (NaOH). Cryogels were produced from a 1.5% (m/m) suspension of cellulose microfibers, which originated from Pinus elliotti, in distilled water. The addition of NaOH increased the compression strength of cryogel by 30% when compared to cryogel without the reagent. Due to the 50% decrease in volume, the cryogel FLNB-8h (8% NaOH) has its petroleum adsorption capacity decreased in average by 58%, whereas the FLNB-4 (4% NaOH) cryogel had it only by 14%. The cellulose suspension which provided the best results for the properties of the cryogels tested had a 4% concentration of NaOH
A Challenging Approach to Improve the Low Affinity of Acrylic Fibres to Be Successfully Dyed with a Bio-Colorant Extracted from Grape Marc
No full textAcrylic fibres are highly crystalline and non-polar polymers, which makes their dyeing a very difficult step that poses real technical challenges. In order to overcome this concern, it is intended in this paper to modify acrylic fibers by different methods namely cationisation using the Crosscolor DRT then amidoximation using hydroxylamine hydrochloride and ammonium acetate. The resulted samples were dyed then with the bio-colorant extracted from grape marc. The effect of the pretreatment on fibers fine structure using X-ray diffraction and the scanning electron microscope (SEM) images and its correlation with the colour strength of the dyed fabrics was investigated. The dyeing parameters, such as dye bath pH and temperature on the performances of this dyeing process were studied. Good dyeing qualities and new shades varying from brown to grey and dark green have been obtained following process optimization, mordanting and modification of acrylic fibers by the technique of cationisation