环北京地区资源与生态环境遥感监测研究

以环北京地区作为实施《全国资源与生态环境综合监测系统建设方案》的首批重点监测区，在论述环北京地区资源与生态环境遥感监测重要意义的基础上，提出了环北京地区资源与生态环境遥感监测的主要内容，研究分析了进行环北京地区土地利用／土地覆被及其变化、土地退化和生态环境建设状况监测的信息提取方法和辅助影像判别信息，从而进一步提高遥感影像判读的准确度。     

基于数学形态学的道路遥感影像特征提取及网络分析

如何从遥感图象上提取道路特征已有多种方法，如边缘探测与追踪、线性滤波、利用各种空间关系进行道路特征识别，基于知识的道路网络提取以及数学形态学等，但尚有许多问题有待解决。为了方便GIS应用以及地图更新，提出了一种基于数学形态学的道路网络分析方法，用于对遥感图象上已分类的道路信息进行各种处理，以便得到所需的道路网络。该方法与步骤为首先将道路影像二值化，同时进行噪音去除、断线连接、细化，并通过将栅格数据转换成矢量形式来得到基本的道路网络；然后对基本道路网络进行分析、连接、选取；最后用Douglas-Peuker算法对道路进行平滑处理与表示来得到最终提取的道路网络，并以南京市江宁经济开发区SPOT、高分辨率IKONOS图象为例进行了实验。道路特征提取的结果与目视解译结果进行比较的结果表明，该道路提取方法对道路发展相对较快的区域更为有效，且提取精度较高。该方法对土地管理规划部门非常有价值，是进行GIS与地图道路更新的有效方法。     

细菌质粒DNA的快速提取及检测

介绍一种质粒DNA的快速提取方法,所分离出的DNA纯度较好,全部操作仅在两只Eppendorf管中进行,含质粒DNA的上清液可直接点样走琼脂糖凝胶电泳。整个提取过程在较短时间内完成。该方法简便、快捷、效果好。     

还原型谷胱甘肽提取方法初探

还原型谷胱甘肽(GSH)是一种天然的活性短肽，具有清理体内自由基等生理功能。为了寻找适合实验室应用的简便、易行的提取GSH的方法，以安琪活性干酵母为研究对象，以相似相容原理为理论依据，用热水抽提、甲酸抽提、乙醇抽提、低温抽提方法提取GSH，分析比较不同提取方法的提取效果。结果表明，热水抽提是一种比较理想的从酵母中提取谷胱甘肽的方法，其特点是耗时少、仪器简单、抽提液中GSH质量浓度高、经济且无污染。     

Real-time traffic information extraction based on compressed video with interframe motion vector

Extraction of traffic information from image or video sequence is a hot research topic in intelligent transportation system and computer vision. A real-time traffic information extraction method based on compressed video with interframe motion vectors for speed, density and flow detection, has been proposed for extraction of traffic information under fixed camera setting and well-defined environment. The motion vectors are first separated from the compressed video streams, and then filtered to eliminate incorrect and noisy vectors using the well-defined environmental knowledge. By applying the projective transform and using the filtered motion vectors, speed can be calculated from motion vector statistics, density can be estimated using the motion vector occupancy, and flow can be detected using the combination of speed and density. The embodiment of a prototype system for sky camera traffic monitoring using the MPEG video has been implemented, and experimental results proved the effectiveness of the me     

基于粗集理论与神经网络技术规则提取的研究

为了从大量数据中获取有用的知识,提出了基于粗集与神经网络技术的数据挖掘方法。首先利用粗集理论消除冗余的属性,得到数据集的一些规则,然后利用这些规则构造神经网络,利用神经网络技术完善粗糙规则。文章就这一技术的研究方法作了综述,并提出了改进的粗集约简方法.     

Modulation of viewing angle on an LCD surface through backlight optics

Abstract— A backlight unit (BLU) that varies the viewing angle from the top to the bottom surface of a transmissive LCD screen has been developed through the design and fabrication of microstructures on a light‐guide plate (LGP). An array of taper prisms has been designed and fabricated on the back surface of the LGP, which resulted in the variation of 29° in the angular distribution of the luminance of the backlight from the top sector to the bottom sector of its surface. This characteristic is employed to modulate the viewing angle of the LCD from the top of the screen to the bottom of the screen for special applications.     

基于决策树的不完全决策表的数据补充及规则提取

不完全信息系统中遗失数据的补充和规则的提取，一直是数据挖掘技术面临的重要问题。文中给出了一种基于决策树来求解此问题的算法。对于给定的不完全决策表，该算法应用改进的ID3算法来构造决策树，在构造决策树的过程中对遗失值进行补充。对于不能在决策树上补充的遗失值，定义了一种相关对象之间的相似度来填充。该算法简单，易于操作。     

乳状液型液膜法处理含锌废水的动力学

乳状液型液膜法以其去除效果好、回收率高、处理量大、消耗低等特点，在废水治理中得到了广泛的应用。本文采用该法对含锌废水进行处理，取得了较好的效果。在此基础上，通过对分离过程动力学的研究，确定了速控步骤的动力学方程，从理论上探讨了载体和废水中锌离子浓度，以及分离温度对分离速度和分离效率的影响，并在实验中得到了验证。该动力学方程的建立，不仅为含锌废水的处理提供了依据，也为计算机模拟该过程奠定了基础。     

Natural resonance-based feature extraction with reduced aspect sensitivity for electromagnetic target classification

This paper presents a model-based electromagnetic feature extraction technique that makes use of time-frequency analysis to extract natural resonance-related target features from scattered signals. In this technique, the discrete auto-Wigner distribution of a given signal is processed to obtain a partitioned energy density vector with a significantly reduced sensitivity to aspect angle. Each partition of this vector contains, in the approximate sense, spectral distribution of the signal energy confined to a particular subinterval of time. Selection of sufficiently late-time partitions provides target features with a markedly increased target discrimination capacity. The potential of the suggested technique and the practical issues in its implementation are demonstrated by applying it to realistic target classification problems with very encouraging results.