Formulating efficient software solution for digital image processing system

Digital image processing systems are complex, being usually composed of different computer vision libraries. Algorithm implementations cannot be directly used in conjunction with algorithms developed using other computer vision libraries. This paper formulates a software solution by proposing a processor with the capability of handling different types of image processing algorithms, which allow the end users to install new image processing algorithms from any library. This approach has other functionalities like capability to process one or more images, manage multiple processing jobs simultaneously and maintain the manner in which an image was processed for later use. It is a computational efficient and promising technique to handle variety of image processing algorithms. To promote the reusability and adaptation of the package for new types of analysis, a feature of sustainability is established. The framework is integrated and tested on a medical imaging application, and the software is made freely available for the reader. Future work involves introducing the capability to connect to another instance of processing service with better performance. Copyright © 2015 John Wiley & Sons, Ltd.     

MC环境下基于案例推理的零件相似度与工时估算研究

在MC环境下,为了使零件工时快速且准确的被估算出,以案例推理理论为基础,研究了零件相似度与工时之间的内在关系,提出了零件相似度的工时估算新方法。首先,通过CASE检索法和零件拓扑结构相似度在规范的案例库中检索并筛选出符合要求的相似零件样本;其次,根据零件相似性机理,确定零件相似度的内涵,构建零件相似度的计算模型,即零件拓扑结构相似度计算模型和零件特性相似度计算模型;最后,通过Matlab软件确定零件相似度与工时之间的关系函数,从而实现定制零件加工时间的快速估算,并用实例验证了该方法的有效性和可行性。     

3D porosity prediction from seismic inversion and neural networks

In this work, we address the problem of transforming seismic reflection data into an intrinsic rock property model. Specifically, we present an application of a methodology that allows interpreters to obtain effective porosity 3D maps from post-stack 3D seismic amplitude data, using measured density and sonic well log data as constraints. In this methodology, a 3D acoustic impedance model is calculated from seismic reflection amplitudes by applying an L₁-norm sparse-spike inversion algorithm in the time domain, followed by a recursive inversion performed in the frequency domain. A 3D low-frequency impedance model is estimated by kriging interpolation of impedance values calculated from well log data. This low-frequency model is added to the inversion result which otherwise provides only a relative numerical scale. To convert acoustic impedance into a single reservoir property, a feed-forward Neural Network (NN) is trained, validated and tested using gamma-ray and acoustic impedance values observed at the well log positions as input and effective porosity values as target. The trained NN is then applied for the whole reservoir volume in order to obtain a 3D effective porosity model. While the particular conclusions drawn from the results obtained in this work cannot be generalized, such results suggest that this workflow can be applied successfully as an aid in reservoir characterization, especially when there is a strong non-linear relationship between effective porosity and acoustic impedance.     

智能温度传感芯片中Δ-Σ调制器的设计

从模数转换的基本理论出发,在对一阶Δ-Σ调制器原理深入解析的基础上,得到Δ-ΣADC动态输入范围的计算方法。利用Matlab simulink建立了二阶Δ-Σ调制器系统模型,对调制器电路进行仿真和参数优化,对其性能进行了有效评估。使用轨对轨折叠式共源共栅运算放大器作为调制器的积分器,增大了调制器的动态输入范围;设计的高速比较器将NMOS负载管交叉耦合从放大器输出端引入正反馈,提高了转换速度。设计实现了一款适用于14 bit温度转换芯片的二阶△-∑调制器,信噪比SNR可达87 dB。     

BP神经网络在铝电解槽温度测量中的研究

针对铝电解槽温度高、腐蚀性强、温度难以直接连续测量的问题,引用BP神经网络技术,选择铝电解槽的输入电流、电压和下料速度作为辅助变量,建立BP神经网络模型,并利用matlab对数据样本进行了标准化处理,实现了BP神经网络的建立、训练和仿真。在预焙阳极铝电解槽进行实验,通过预算温度与实际温度进行对比,结果证明了该方法的有效性。     

Matlab和C++接口中函数注册的实现

函数注册在Matlab和C 接口中起着重要的作用。在介绍函数注册作用的基础上 ,详细分析了函数注册的过程及应当注意的问题 ,并给出了一种实现函数注册的最简单的方法。用实例展示了函数注册的具体实现过程。     

分数阶微积分在数字水印中的应用研究

提出并实现了基于分数阶微积分运算的数字水印系统模型.将分数阶微积分运算阶次v作为水印嵌入与提取的密钥,嵌入的水印能够获得好的不可感知性.在信息提取端,如果不知道确切的分数阶微积分运算阶次,将无法完成水印信息的提取,从而保证了发送者与合法接收者之间通信的有效保密性.利用Matklb进行计算机仿真实验证实了基于分数阶微积分运算的数字水印系统的有效性与可行性.     

在ATL实现的ActiveX控件中集成Matlab引擎

在对Matlab外部编程接口的分析基础上,本文用ATL技术实现了一个ActiveX控件集成了对Matlab引擎的访问。并给出了实现过程及主要源码。最后介绍了组件对象模型的基本思想。     

CAS理论在滇池流域水资源配置中的应用

基于复杂适应系统（CAS—Complex Adaptive System）理论,研究滇池流域水资源配置系统的演化机制,描述滇池复杂适应水资源配置系统“学习”的特点和本质、各用水及供水主体的影响因素和反应规则。随后,建立了滇池流域水资源配置的CAS模型。基于此模型,利用Matlab优化平台,预测了不同规划年滇池流域各部门的需水量,给出了流域仅在滇池水域与掌鸠河云龙水库供水条件下的水资源配置结果。最后,分析了利用CAS理论研究流域水资源配置的优越性,并给出了相应的结论。     

智能粮库曲面建模的设计与实现

在智能粮库计量系统中,粮面三维图形的还原与粮食质量的计算是粮库监管的一项重要内容．本系统采取将超声波传感器等设备非均匀地布置于粮仓内,用以获取粮面的部分信息,在合适的数学模型下还原出粮面的三维图形,并计算出粮食的体积和粮库的储粮质量,不仅能大幅度降低系统成本,而且具有安全、可靠、直观、高效等优点．