SBIRT-Low探测距离的计算

随着红外技术的飞速发展,红外探测与反探测技术、识别与反识别技术在空间目标研究中起着越来越重要的作用．本文针对NMD的红外探测系统,对空间目标的探测作了简要的分析,并通过实例作了具体的计算及讨论．     

长春地区地表温度异常遥感分析

热红外遥感是一项探测地热资源、植被覆盖、农作物估产等生态环境评价研究的重要技术.使用Landsat 7/ETM+热红外波段(band6),基于单通道算法,对长春地区地表温度应用反演,从而为研究该区地热资源、土地覆盖、城市热岛效应及环境评价提供可靠的依据.研究表明,热红外遥感能够有效探测到地表温度异常,而引起其异常的原因有待我们就一步验证和深入研究.     

实验用计算机红外遥控机器人控制系统的研制

结合国内实验教育、教学发展的需要,运用计算机技术、红外无线技术、单片机技术,设计研制了实验用计算机红外遥控机器人的控制系统.该系统可在上位机编写程序、控制机器人动作,充分发挥了计算机的优势;使用红外无线传输技术在计算机和机器人之间传输命令和数据.系统的各个部分采用模块化设计,并定义了统一的接口,二次开发方便.介绍了该系统的硬件系统设计、软件设计及红外遥控功能的实现.     

智能型多功能测时装置的探讨

本文探讨了运用红外探测技术,通过单片机对信号的接收和处理,在一台仪器上实现多种不同的计时、计数要求及语音功能.     

红外隐身材料的研究进展

红外隐身技术是当前隐身技术研究的一个热点,采用红外隐身材料可以降低或改变目标的红外辐射特征,实现目标的低可探测性,提高武器装备的战场生存和突防能力.介绍了红外隐身材料产生的背景、工作原理以及组成,并结合红外隐身材料的研究现状,展望了其未来的发展趋势.     

一种共轴的电视红外双光成像系统

本文针对异源图像融合中存在的图像配准难题,以红外与可见光为研究对象,研究提出一种共轴的电视红外双光成像系统.此系统首先利用可见光和长波红外探测技术,摄取景物不同波段的辐射或反射光能,采用透射＋二次反射成像的光学原理,辅以精密光学装校实现双波段对同一场景成像,来满足图像视场的匹配,然后设计基于GenICam和Directshow通用采集架构的图像采集系统,并采用VC＋＋6.0编程实现了不同图像采集设备的通用控制.实验结果表明,利用此成像系统可获取“配准的”可见光和红外图像,有效解决了红外与可见光图像融合中的图像配准难题.     

杂交水稻秧苗位置探测器弱电课程实验设计

以杂交水稻秧苗位置检测为目标,结合农田生长环境,要求学生设计一款基于红外检测的探测装置。该装置采用抗干扰对射型红外传感器,并创新性地增加了人造纤维丝毛刷结构,通过接触式感应原理增强了探测效果,提升了对细小农作物的探测能力。该课程实验包括硬件设计和软件算法设计,并通过实验测试验证了探测装置的有效性。     

基于Au-SiO2-Au结构的三峰近红外吸收器

设计了一种具有六边形图案的超构红外吸收器,利用时域有限差分(FDTD)方法研究了该吸收器的吸收特性。研究表明,该结构在红外波段有3个吸收峰,吸收峰的峰位可通过改变结构参数进行调控。增加石墨烯层后,该吸收器的共振吸收峰可通过改变石墨烯的费米能级调节。此吸收器在光电探测、光通信、光滤波等领域具有潜在应用。     

海域软岩变形破坏的红外辐射实验研究

以龙口北皂矿海域软岩U钢支护参数为基本条件进行实验室物理模型的红外辐射探测实验.结果表明:①应力集中区、摩擦作用强以及U钢和围岩相互作用的区域,其红外辐射强度较强;而应力松弛和摩擦较弱的区域其红外辐射强度相对较弱.②相对于其它部分,破裂位置的红外辐射温升更高且变化迅速.同时发现红外辐射温度变化受海水的影响.红外辐射异常区域通常出现在应力集中区、U钢与围岩相互作用区及破裂区域.     

蜘蛛丝和桑蚕丝三级红外光谱研究

采用红外(IR)光谱研究了蜘蛛丝和桑蚕丝的结构.进一步开展了蜘蛛丝和桑蚕丝的变温红外(TD-IR)光谱研究.实验发现:桑蚕丝的热稳定性较差.以νamide-Ⅰ为研究对象,分别开展了蜘蛛丝和桑蚕丝二维红外(2D-IR)光谱研究,进一步探讨了蜘蛛丝和桑蚕丝的热变机理.开拓了三级红外光谱技术在天然纺织材料领域的应用研究范围.     

An immunity-based technique to detect network intrusions

INTRODUCTION Research interest in immune system has in-creased over the past few years, and because of its special information processing capabilities, it has been applied to solve many problems (de Castro and Von Zuben, 1999; Hunt and Cooke, 1996). Among these research areas, network security is one of the hot spots and has been considered as analogous to im-munity in natural systems. Researchers at the Uni-versity of New Mexico did a lot of research in this area (Forrest et al., 199…     

Pigeons fail to detect low-frequency magnetic fields

In an attempt to resolve basic inconsistencies in the literature on magnetic reception in birds, we tested 4 pigeons for possible sensitivity to low-frequency magnetic fields. Horizontal and vertical components of an earth-strength field were varied at frequencies of 0.01 to 10 Hz. None of the pigeons seemed able to distinguish between varying and static fields, although each received 1,800 trials of discrimination training. These results, related findings, and the reported failure to replicate a critical field study lead the authors to question the prevailing belief that pigeons can detect magnetic fields.     

一种检测端口扫描的自适应算法

Detection of port scan is an important component in a network intrusion detection and prevention system. Traditional statistical methods can be easily evaded by stealthy scans and are prone to DeS attacks. This paper presents a new mechanism termed PSD(port scan detection), which is based on TCP packet anomaly evaluation. By learning the port distribution and flags of TCP packets arriving at the protected hosts, PSD can compute the anomaly score of each packet and effectively detect port scans including slow scans and stealthy scans. Experiments show that PSD has high detection accuracy and low detection latency.     

Weighing designs to detect a single counterfeit coin

In this article, we discuss at length a combinatorial problem which has been of historic interest. It has appeared as a puzzle in several different versions with varying degrees of difficulty. It can be simply stated as follows: We are given a number of coins which are otherwise identical except that there may be at most one fake coin among them which is either slightly heavier or slightly lighter than the other genuine coins. Using only a two-pan weighing balance, we must devise a weighing scheme to identify the counterfeit coin and determine whether it is heavier or lighter (or declare that all coins are normal). We construct both sequential and non-sequential (that is, simultaneously declared) weighing plans for any given number of coins containing at most one fake coin using the minimum number of weighings needed.     

An exploratory investigation to detect cross-cultural differences on the PPVT-R

The Revised Peabody Picture Vocabulary Test (PPVT-R) was administered to 410 nonreferred Australian children to determine if significant cultural differences were apparent on either Form L or M of the revised test. Data indicated that there were differences that, while statistically nonsigniffcant, could lead to inaccurate clinical classification if all the American items and norms were used. It appears that the PPVT-R is not significantly culturally biased towards white, middle-class children from the USA, and may be used in Australia, but with some care. Implications for practitioners are discussed, with suggestions made to overcome the presence of some minor problems due to lack of familiarity of terms used in some items of the PPVT-R.     

张北地震前的卫星热红外异常研究

地震前的热异常大多是使用极轨卫星数据来研究,例如AVHRR和MODIS数据,其时间分辨率为一天2次.由于观测时间间隔约12小时,有可能会漏掉一些异常信息.使用高时间分辨率的静止卫星数据,研究了1998年1月10日张北M s6.2级地震前热红外异常,首次精细地刻画了该热异常的形态变化.结果表明1月5日夜间热异常出现在北京西北部,随后逐渐向东南方向扩展,整体覆盖在张家口—渤海断裂带上,到1月6日凌晨消失;其温度高出周边地表温度4 K~5 K;热异常的扩张与风速、风向有关,在卫星云图上表现出明显的随风摆动现象;该异常带之下的地表的温度与周边地表温度相同,据此推断该异常出现在空中,而不是地表,这是与前人完全不同的新结论.综合以上特征,推断认为该异常可能与地下气体溢出或者异常电磁场有关,而不是岩石受力破裂所致.     

A learning-based method to detect and segment text from scene images

This paper proposes a learning-based method for text detection and text segmentation in natural scene images. First, the input image is decomposed into multiple connected-components (CCs) by Niblack clustering algorithm. Then all the CCs including text CCs and non-text CCs are verified on their text features by a 2-stage classification module, where most non-text CCs are discarded by an attentional cascade classifier and remaining CCs are further verified by an SVM. All the accepted CCs are output to result in text only binary image. Experiments with many images in different scenes showed satisfactory performance of our proposed method.     

Using genetic markers in unpedigreed populations to detect a heritable trait

Before a breeder invests selection pressure on a trait of interest, it needs to be established whether that trait is actually heritable. Some traits may not have been measured widely in pedigreed populations, for example, a disease or deformity may become more prevalent than previously, but is still relatively rare. One approach to detect inheritance would be to screen a commercial population to obtain a sample of "affecteds" (the test group) and to also obtain a random control group. These indi- viduals are then genotyped with a set of genetic markers and the relationships between individuals within each group estimated. If the relatedness is higher in the test group than in the control group, this provides initial evidence for the trait being heritable. A power simulation shows that this approach is feasible with moderate resources.