Rational Filters for Passive Depth from Defocus

A fundamental problem in depth from defocus is the measurement of relative defocus between images. The performance of previously proposed focus operators are inevitably sensitive to the frequency spectra of local scene textures. As a result, focus operators such as the Laplacian of Gaussian result in poor depth estimates. An alternative is to use large filter banks that densely sample the frequency space. Though this approach can result in better depth accuracy, it sacrifices the computational efficiency that depth from defocus offers over stereo and structure from motion. We propose a class of broadband operators that, when used together, provide invariance to scene texture and produce accurate and dense depth maps. Since the operators are broadband, a small number of them are sufficient for depth estimation of scenes with complex textural properties. In addition, a depth confidence measure is derived that can be computed from the outputs of the operators. This confidence measure permits further refinement of computed depth maps. Experiments are conducted on both synthetic and real scenes to evaluate the performance of the proposed operators. The depth detection gain error is less than 1%, irrespective of texture frequency. Depth accuracy is found to be 0.51.2% of the distance of the object from the imaging optics.     

Segmentation of stick text based on sub connected area analysis

A new stick text segmentation method based on the sub connected area analysis is introduced in this paper.The foundation of this method is the sub connected area representation of text image that can represent all connected areas in an image efficiently.This method consists mainly of four steps:sub connected area classification,finding initial boundary following point,finding optimal segmentation point by boundary tracing,and text segmentaton.This method is similar to boundary analysis method but is more efficient than boundary analysis.     

基于属性识别理论的大坝结构性态综合评价

大坝结构性态分析评价问题是一个多层次多项目的系统整体分析评价问题,应利用系统分析的观点,将多个观测项目结合起来进行综合分析和评价．在分析了已有综合评价方法的基础上,提出了基于属性识别理论的大坝结构性态综合评价方法．示例表明,这一方法是合理、可行的．     

用BASIC单片机实现油品密度的测量

油品的密度与温度有着确定的对应关系,通过测量温度可以间接测量密度。根据这一关系可以利用小巧的ＢＡＳＩＣ单片机设计一个价廉、实用的密度计。经实验对比,其稳定性较好,反应灵敏,测量较准确,较常规方法更方便快捷     

论原子与原子能态

用原子负能态的物理基础论证了“正能态原子”概念的错误,对原子的光谱线系限外连续带的产生机理提出了新的观点．     

矿井作业区域环境安全评价系统的设计与实现

分析了现有煤矿安全监控系统的状况,在安全监测的基础上建立了作业区域危险程度分级判定的评价模型,设计了一个矿井作业区域环境安全评价系统,详细介绍了该系统的设计思想、系统结构原理及主要功能。该系统可对煤矿井下主要作业区域生产安全的环境参数的变化进行动态分析和综合评价,并以不同的颜色给出该作业区域的危险等级,为保证井下作业人员的环境安全提供参考依据。该评价系统可独立运行,也可作为安全监控系统的功能组件运行。     

矿井采空区无线传感器网络路由协议研究

研究和设计了一种适用于煤矿采空区的无线传感器网络路由机制。首先对LEACH协议的簇头选举机制进行了改进,在计算阀值时添加剩余能量参数,然后采用改进后的协议和多径路由机制设计了煤矿采空区无线传感器网络路由算法,最后通过NS-2仿真平台进行了实验。实验结果表明,改进后的协议与原协议相比,提高了网络中节点的能量有效性,延长了网络的生命周期。     

WIA-PA网络中的基于节能的AODV路由算法改进

能源问题对于WIA-PA工业无线网络是非常重要的;因为在恶劣的环境中它们只能依靠其有限的电池供电;传统的路由算法中,选路时没有考虑节省能量的策略,它会造成一些关键节点的过度使用而过早的退出无线网络;针对WIA-PA网络的能量受限问题,提出了一种基于搜索有较大可持续能量路由的节点方法,并对AODV协议进行改进,逸免了低能量节点的使用,从而延长了网络的生存时间;该路由协议经过了理论分析和计算机仿真的验证,具有可行性和有效性,对于WIA-PA网络的节能路由协议研究以及实现具有一定的参考价值。     

基于LAN的转台机动控制虚拟动态测试分析系统设计

针对卫星姿态机动控制地面物理仿真监测实验,设计了卫星姿态机动控制性能动态测试分析系统;测试系统采用码盘作为测角传感器、数字I/O接口卡、测试目标为飞行器仿真气浮单轴实验转台,Labview和Access为开发软件;运用了动态测试技术、Lab-view与SQL连接的ADO技术,设计了库结构,利用Datasocket技术实现了实验数据的网络通讯,并介绍了系统硬件设计方法和软件系统设计方法,该系统实现了角度动态数据采集、数据自动存储、数据自动分析、数据管理及数据自动打印等实验功能,分析结果包括机动范围、姿控精度、控制误差及机动响应时间等数据项,还实现了局域网内PC机在线实验观测和实验数据备份功能;经实验验证,达到预期的实验测试任务要求。     

Sensor control for multi-object state-space estimation using random finite sets

The problem addressed in this paper is information theoretic sensor control for recursive Bayesian multi-object state-space estimation using random finite sets. The proposed algorithm is formulated in the framework of partially observed Markov decision processes where the reward function associated with different sensor actions is computed via the Rényi or alpha divergence between the multi-object prior and the multi-object posterior densities. The proposed algorithm in implemented via the sequential Monte Carlo method. The paper then presents a case study where the problem is to localise an unknown number of sources using a controllable moving sensor which provides range-only detections. Four sensor control reward functions are compared in the study and the proposed scheme is found to perform the best.