Detecting computer generated images based on local ternary count

Local binary patterns was used to distinguish the Photorealistic Computer Graphics and Photographic Images, however the dimension of the extracted features is too high. Accordingly, the Local Ternary Count based on the Local Ternary Patterns and the Local Binary Count was developed in this study. Furthermore, a novel algorithm is presented based on the Local Ternary Count to classify photorealistic Computer Graphics and Photographic images. The experiment results show that the proposed algorithm effectively reduces the dimension of the classification features and maintains a good classification performance.     

Release properties of cinnamaldehyde loaded by montmorillonite in chitosan-based antibacterial food packaging

This work aimed to prepare a controlled-release antibacterial food packaging film by solvent volatilisation using chitosan (CS) and acidified modified montmorillonite (MMt) loaded with CIN (acid-MMt-CIN). MMt was successfully acidified and CIN was successfully loaded into acid-MMt, which had been confirmed by X-ray diffraction. The coordination of acid-MMt-CIN significantly increased the barrier properties of CS film to water vapour, as well as the rigidity and ductility of the film. Furthermore, the CS/acid-MMt-CIN film could significantly improve their UV resistance. It was found that the CIN release time of CS/acid-MMt-CIN film in isooctane (simulated fatty food) could reach 168 h, which was 72 h longer than that of CS/CIN film. The addition of acid-MMt-CIN had a significant inhibitory effect on Staphylococcus aureus and Escherichia coli. In short, CS/acid-MMt-CIN film could potentially be used as an antibacterial active food packaging film.     

Comprehending the role of the S-phase on the corrosion behavior of austenitic stainless steel exposed to H2S/CO2-saturated liquid and vapor environments

The corrosion behavior of austenitic stainless steel after low-temperature liquid oxy-nitriding (LON) was investigated by exposing in H₂S/CO₂-saturated liquid and vapor environments up to 720 h at 60 °C. The corrosion rates before and after LON were compared by the weightlessness method, and the microstructure as well as the corrosion scales were characterized using surface analysis methods. The results indicated that the composite S-phase layer with the outer Fe₃O₄ layer and the inner nitrogen-rich sublayer could improve the corrosion performance in H₂S/CO₂-saturated environment. The base material (BM) suffered local corrosion first, which then transformed into uniform corrosion. As a comparison, The LON sample, covered with a thin corrosion product layer, indicated slight local corrosion. The excellent corrosion resistance of the S-phase should be attributed to the blocking effect of the continuous Fe₃O₄ film as well as the suppression of the atomic mobility by the nitrogen-containing supersaturated solid solution.     

A new hybrid finite element approach for plane piezoelectricity with defects

In this paper, a new type of hybrid fundamental solution-based finite element method (HFS-FEM) is developed for analyzing plane piezoelectric problems with defects by employing fundamental solutions (or Green’s functions) as internal interpolation functions. The hybrid method is formulated based on two independent assumptions: an intra-element field covering the element domain and an inter-element frame field along the element boundary. Both general elements and a special element with a central elliptical hole or crack are developed in this work. The fundamental solutions of piezoelectricity derived from the elegant Stroh formalism are employed to approximate the intra-element displacement field of the elements, while the polynomial shape functions used in traditional FEM are utilized to interpolate the frame field. By using Stroh formalism, the computation and implementation of the method are considerably simplified in comparison with methods using Lekhnitskii’s formalism. The special-purpose hole element developed in this work can be used efficiently to model defects such as voids or cracks embedded in piezoelectric materials. Numerical examples are presented to assess the performance of the new method by comparing it with analytical or numerical results from the literature.     

薄壁零件高速铣削加工变形模型及变形规律研究

针对集中载荷作用下薄壁零件(两邻边固定、两邻边自由的矩形)的变形问题建立静态铣削力模型。利用ANSYS 14.0有限元软件进行仿真加工,研究了铝合金薄壁件在数控铣削过程中切削力不变时,零件在长度和高度方向的变形情况以及不同铣削力对变形的影响。得出薄壁零件在顺铣过程中的变形规律并提出了预防措施。     

Fault Prediction Based on the Kernel Function for Ribbon Wireless Sensor Networks

There exist several applications of wireless sensor networks in which the reliable operation can be crucial. Fault prediction is a critical problem in reliability theory for ribbon wireless sensor networks (RWSNs). Accurate fault prediction can effectively improve the availability of the WSNs system. In this paper, we evaluated the network performance for RWSNs, studied the basic theory of kernel functions, proposed a new failure prediction method based on kernel function, and selected the radial basis function as kernel function failure prediction models from two aspects of node hardware failures and network failures for fault prediction. Theoretical evidence and experimental results have shown that the proposed algorithmic prediction method has higher accuracy of 12 and 15% than that of GRNN and PNN respectively. Finally, we provided extensive numerical results to demonstrate the usage and efficiency of the proposed algorithms and complement our theoretical analysis.     

Modeling of Naval Vessels Combat System based on Complex Network

Naval Vessels Combat System is a kind of complex system.The modeling of combat system has become hot issues in the past years.This paper proposed a new method to establish models of combat system based on the theory of Complex Network.The method of modeling considered the operational entities as nodes.It considered flow of information,substance and energy as edges in a network.The research also carries on a simulation to prove the applicability.Ultimately,the paper concluded that this method is applicable and accurate.     

基于智能视觉的电机自动控制仿真

工业自动化水平的发展对电机使用提出更高要求,为提高电机控制精度与平稳性,提出基于智能视觉的电机自动控制研究.选取智能视觉系统光源与照明技术,设置采集流程;通过阈值分割,使目标与背景有效分离,确立旋转与平移矩阵,计算相机标定的内外参数,校正畸变图像;将处理后的图像信息作为控制依据,结合电压、磁链与运动方程构建电机数学模型;分析定子电压向量对电机转矩与磁链造成的影响,在固定周期内将电压向量划分为不同区域,根据转矩变大变小的不同需求,选择恰当的电压向量来改变磁链幅值与旋转角度,达到电机自动控制目的.仿真结果表明,所提方法的电机控制信号更加平稳,同时控制精度高,改善作业效果.