The Study of Otsu Algorithm Applied in the Measuring of Ash Proportion

To further improve the boiler ash ratio detection methods and resource utilization, through image processing technology for boiler ash ratio analysis, the article first studied the one-dimensional Otsu algorithm, and then for the one-dimensional Otsu algorithm, in order to improve the accuracy of the algorithm, then it puts forward a two-dimensional Otsu algorithm. Finally the two-dimensional Otsu algorithm combined with the one-dimensional Otsu algorithm and the improved Otsu algorithm. By analyzing the improved Otsu algorithm, this paper considers the pixel gray value, neighborhood information, excluding light, noise and the relative efficiency of one-dimensional Otsu algorithm higher accuracy. The relative dimensional Otsu algorithm operating efficiency has been greatly improved. Improved Otsu algorithm in dealing with boiler ash ratio detection has played a very good part in the ecological environment, economic development and some other important aspects.     

On the algebraic structure of binary lattice-valued fuzzy relations

From a general algebraic point of view, this paper aims at providing an algebraic analysis for binary lattice-valued relations based on lattice implication algebras—a kind of lattice-valued propositional logical algebra. By abstracting away from the concrete lattice-valued relations and the operations on them, such as composition and converse, the notion of lattice-valued relation algebra is introduced, LRA for short. The reduct of an LRA is a lattice implication algebra. Such an algebra generalizes Boolean relation algebras by general distributive lattices and can provide a fundamental algebraic theory for establishing lattice-valued first-order logic. Some important results are generalized from the classical case. The notion of cylindric filter is introduced and the generated cylindric filters are characterized.     

Fuzzy clustering based ET image fusion

Electrical tomography (ET) is a technique to visually reconstruct inhomogeneous medium distributions by injecting currents or voltages at the boundary of the medium and measuring the resulted changes in the investigated fields. The ET techniques have been widely used in industrial practices owing to the low cost, rapid response time, non-existent radiation exposure, and non-intrusive characteristics comparing to other tomographic modalities. However, the spatial resolution of ET images using single modality or single-driven patterns (adjacent pattern vs. opposite pattern for imaging reconstruction) is low, which may limit its applications. In this research, the application of fuzzy clustering based fusion techniques for ET imaging is studied. Both multi-modality imaging and multi-driven patterns are of interest. Specifically, two modality images are fused: Electrical Capacitance Tomography (ECT), which performs well for imaging material of large permittivity difference, and Electrical Resistance Tomography (ERT), which is suited for imaging materials having large conductivity differences. The research also explores the fusion of adjacent and opposite patterns for either ECT or ERT modalities. Experiments show that the proposed method can construct high quality ET images by discovering the strong complementary natures of the modalities and/or driven patterns.     

A high-shear, low Reynolds number microfluidic rheometer

We present a microfluidic rheometer that uses in situ pressure sensors to measure the viscosity of liquids at low Reynolds number. Viscosity is measured in a long, straight channel using a PDMS-based microfluidic device that consists of a channel layer and a sensing membrane integrated with an array of piezoresistive pressure sensors via plasma surface treatment. The micro-pressure sensor is fabricated using conductive particles/PDMS composites. The sensing membrane maps pressure differences at various locations within the channel in order to measure the fluid shear stress in situ at a prescribed shear rate to estimate the fluid viscosity. We find that the device is capable to measure the viscosity of both Newtonian and non-Newtonian fluids for shear rates up to 10⁴ s^?1 while keeping the Reynolds number well below 1.     

基于RFID的人力和资产管理系统

为应对现下各大IT外包服务公司日益扩张的业务量所带来的成本压力,以及因服务网点分散所带来的资讯问题,并积极有效地分配IT服务人员,设计了一种基于云计算中SaaS概念、物联网概念,并合理运用现有RFID,GSM技术的人力和资产管理系统,旨在实现快速有效的人力资源调度以及方便快捷的物资信息管理。阐述了系统的组成结构,并进行了硬件和软件上的设计。项目结果证明该系统具有可行性和实用性。     

ERP应用现状与动态安全管理监控

介绍ERP发展现状,ERP安全管理系统建立原则,阐述安全管理系统特征、独具特色的动态安全管理监控功能以及安全管理系统功能目标.     

基于FPGA的图像轮廓提取

文章采用4个不同方向的Sobel算子模板和阈值比较方法来解决经典Sobel算子的检测精度不高和易出现虚假轮廓的现象;详细介绍了在FPGA中利用Sobel算子对图像边沿进行检测,并最终通过图像二值化将图像轮廓提取出来的具体过程;使用Modesim9.0仿真,验证了FPGA中轮廓提取算法模块的功能正确性.     

基于Vxworks嵌入式web服务器的远程实时图形显示及控制系统

本文介绍了嵌入式web服务器在vxworks上的实现,以及使用java的Applet小程序实现远程异地实时图形的显示及控制.     

基于改进的参考矢量选取的码字快速搜索算法

矢量量化的编码过程计算复杂性极高,为了减少编码时大量的矢量间距离计算,许多文献提出利用不等式关系以较少的计算量来估算距离的方法。在Chang等人提出的利用双限制三角不等式的快速搜索算法基础上,通过改进参考矢量的选取方法,有效提高了码字搜索的效率。实验结果表明,改进算法的码字排除率可以提高3.735%9.976%,编码时间可以减少6.03%35.25%。     

计算机教学中学生主体性作用刍议

本文结合笔者多年的教学经验,阐述了学生在计算机教学过程中的主体地位,并通过几个可行性方法激发学生能动性,充分发挥学生的主体作用。