汉字的线性分类实验

本文通过实验研究了在汉字识别中应用线性分类器的可能性,考察了汉字之间的线性可分性。实验使用了两种主要的线性分类器: Fisher线性判别和感知器。实验检验每一对汉字的线性可分性。实验结果表明,汉字之间的线性分类性是相当好的。尤其是Fisher线性判别,不能成功线性分类的汉字仅占百万分之4.25 。这显示了在汉字识别中应用线性分类器是有着巨大的潜力的。同时,线性分类实验结果还可用来检验所选取特征的好坏,有利于客观的评价特征。     

双频率调制谐振式光纤陀螺谐振谷分裂现象研究

谐振式光纤陀螺(Resonator Fiber Optic Gyro,R-FOG)是利用光纤环形谐振腔的Sagnac效应实现对转动角速度检测的一种高精度惯性传感器件.双频率锯齿波组合调制技术可应用于谐振式光纤陀螺数字处理系统.实验发现,在基于双频率锯齿波组合调制技术的R-FOG系统中,对激光器输出光频率进行扫描时,在示波器上观察到光纤环形谐振腔的谐振曲线会分裂成两个谐振谷.利用频谱分析与光波场叠加原理相结合的方法对光纤环形谐振腔的输出光场进行了具体推导和仿真分析,并对谐振谷分裂现象的物理原因作了解释.仿真分析发现,光纤环形谐振腔的谱线宽度越窄或两个锯齿波组合调制频率相差越大,谐振谷分裂现象越明显.最后对这种谐振谷分裂现象进行了具体测试,实验测试结果和理论分析结果一致.     

常温一氧化碳气敏元件制备及气敏机理研究

介绍了以SnO2 为主 ,掺入Al2 O3 ,MgO ,InO ,Pd等添加剂的常温CO气敏元件的制备方法。根据其晶体结构特点对气敏机理进行了探讨。论述了传感器的信息传感机制 ,即晶界势垒控制和晶粒大小控制机制同时存在。为获得性能良好的气敏元件 ,需要最佳的制备方法和最好的添加剂     

Application of a novel IWO to the design of encoding sequences for DNA computing

Encoding and processing information in DNA-, RNA- and other biomolecule-based devices is an important requirement for DNA based computing with potentially important applications. To make DNA computing more reliable, much work has focused on designing the good DNA sequences. However, this is a bothersome task as encoding problem is an NP problem. In this paper, a new methodology based on the IWO algorithm is developed to optimize encoding sequences. Firstly, the mathematics models of constrained objective optimization design for encoding problems based on the thermodynamic criteria are set up. Then, a modified IWO method is developed by defining the colonizing behavior of weeds to overcome the obstacles of the original IWO algorithm, which cannot be applied to discrete problems directly. The experimental results show that the proposed method is effective and convenient for the user to design and select effective DNA sequences in silicon for controllable DNA computing.     

ⅡS接口的FPGA实现

一种为嵌入式系统扩展音频功能的方法,采用带ⅡS总线和L3控制接口的专用芯片U-DA1341TS,用FPGA设计实现所需要的接口和时序,在基于S3C4510B的嵌入式系统下通过FPGA操作UDA1341TS,实验结果表明这种方法是正确的。     

PC自动化测试技术及软件结构

现代竞争要求测试系统有更短的开发周期,更低的成本和更高的质量。目前最流行的解决方案是称作“虚拟仪器”的软件战略。本文研究了采用虚拟仪器软件技术的各种仪器的测量方案,如ＧＰＩＢ,ＶＸＩ和数据采集板卡系统等,分析了虚拟仪器测试软件的四层结构和系统开发工具,展望了ＰＣ自动化测试技术的发展方向。     

面向多源信息的智能决策系统

随着信息技术的不断发展,通过各种信息采集技术和发达的通信网络带来了多个信息源的海量信息。为了对这些多源、异质和海量的信息进行有效的管理和利用,就必须通过实时的判断、鉴别、融合,从而将信息优势转变为决策优势。本文首先论述了多源信息融合和共享的背景和现状,其次提出一个面向多源信息的智能决策支持系统,能够对多源信息进行信息融合和信息共享,从而提高信息的可靠性,高效性,灵活性,最终帮助管理者做出最优决策。     

Linux中检查点(Checkpoint)的核心支持——ckpt文件系统的设计

检查点(Checkpoint)是一种软件容错机制,它的目的是提高系统可靠性、减少运算损失,同时检查点机制也是并行系统中进程迁移和负载平衡的基础。在一些检查点系统中,由于对进程的状态检查/状态恢复只具有用户级支持,所以有许多局限性,比如不能完成进程外部状态检查。而在作者的设计与实现中由于具有了核心级的支持,所以能够充分地克服这些局限性。     

Automatic Algorithm for Extracting Lake Boundaries in Qinghai-Tibet Plateau based on Cloudy Landsat TM/OLI Image and DEM

Lakes in the Qinghai-Tibet Plateau are numerous and widely distributed, accounting for 41% and 57% of the total number and area of lakes in China, which are very important for the study of lakes in the whole country and even in the whole world. Remote sensing has been used to monitor the lake distribution for a long time, but optical remote sensing images are often obscured by clouds, from which it’s impossible to automatically extract complete lake boundaries. An automatic interpolation algorithm for lake boundary generation based on cloudy Landsat TM/OLI image and Shuttle Radar Topography Mission (SRTM) 30 m resolution Digital Elevation Model (DEM) is proposed. Firstly, supported by the platform of Google Earth Engine, the tier1 data of Landsat TM/OLI images are used to eliminate the effects of cloud, cloud shadow, snow and mountain area, based on the Pixel Quality Assessment (pixel_qa) attribute and SRTM 30 m DEM. Then, the Modified Normalized Difference Water Index (MNDWI) is calculated, and the Canny edge detection algorithm are used to obtain the known part of the lake boundary (L) in cloud-free areas. The possible lake areas are obtained by range filtering of DEM locally. At the same time, DEM is used to generate contours with an isometric interval of 1 m, and a series of contours surrounding the possible lake area are automatically screened out. The tree structure is established according to the inclusion relationship between contours. The leaf nodes are the innermost contours, which are recorded as inner contours (C1). Because the acquisition time of Landsat and DEM is different, with the lake expanding or shrinking, the lake water surface will rise or fall relative to the inner contour. Different methods of determining the outer contour (C2) are adopted. Subsequently, the slope-aspect relationship between the inner contour C1 and the outer contour C2 and the known part of the lake boundary L is established, and the unknown lake boundary points are interpolated. Finally, the nearest neighbor method is used to connect the known lake boundary points with the interpolated Lake boundary points to form a complete lake boundary. The extracted lake boundaries were validated by visual digitized lake boundaries from ZiYuan-3 image or cloud-free Landsat image on the near date. It is found that they are basically coincided, and the percentage of differences in length and area are -6.81%~9.4% and -2.11%~2.7% respectively. It shows that this method is very effective for automatic extraction of Lake boundary from cloudy Landsat TM/OLI images, and provides a new method for automatic extraction of long time series Lake boundary and its temporal and spatial variation analysis in the Qinghai-Tibet Plateau on GEE and other big data platforms.