基于OpenH323视频会议音频处理技术研究

随着社会经济的进步,很多公司都建立了自己的网络视频会议系统。建立这些网络视频会议系统的初衷是为公司工作提供方便,但是又有多少系统真正给公司的工作带来了便利呢。终其原因,其中一个重要的问题就是音频处理技术不过关,导致在开会过程中语音断断续续,听不清楚,会议效果不好,最终很多公司花大价钱够买的系统只能是花瓶一个。本文就是针对这种现象从音频处理的根源上解决这个问题,采用OpenH323与DirecShow相结合的方式,来处理音频同步,最后通过测试数据说明该方案的有效性。     

基于ARM的QNMV指纹识别系统的研究

目前指纹识别技术正向着嵌入式和小型化的方向发展,搭建了基于ARM的指纹识别系统的硬件平台并对硬件进行了优化,研究了指纹识别的软件开发环境,给出了指纹识别系统的软件实现方框图和详细的指纹识别算法流程图;详细论述了全新的基于QNMV结构向量的指纹匹配算法,给出了算法优化后的一些测试数据,将指纹匹配算法与其他常见的算法进行了数据比对后,发现系统具有较好的性能指标:具有较低的误识率(FAR)和拒识率(FRR)、识别率(MRI)有了较大的提高、有效地缩短了匹配耗费时间(Time-Match);系统具有安全可靠、易于扩展、性价比高等优点。     

新型的数字音频系统—数字盒式磁带（DCC）原理

数字盒式磁带录音机,简称DCC,是一种将现有的盒式磁带与数字声频相结合的产物。它采用了新的有效的精确自适应子带编码技术,简称PASC,使重放的声音达到CD的音质。PASC依据数字声频中两个新的原理:与人耳的听觉特性相适应原理和有效的自适原应理。DCC系统可以与模拟音乐盒带兼容,现有的盒带可以在DCC放音设备上重放。     

基于INS定位和WIFI指纹定位技术的无人机室内定位方法研究

针对无人机室内定位问题,提出了一种基于惯性导航系统（INS）和WIFI指纹定位技术的四旋翼无人机的室内定位方法。该方法首先利用WIFI模块测量的信号接收强度信息,根据WIFI指纹定位原理求出该定位时刻下的无人机位置;同时,利用惯性传感器信息计算出INS定位下的无人机位置,结合两种定位结果得出更为精确的位置。最后,通过实验验证了INS定位和WIFI指纹定位相结合的无人机室内定位方法的有效性,且该方法较两种单独定位方法的定位精度更高。     

PPV Nanotube Sensor Arrays for Explosives Identification by Excitation Wavelength Regulation

The development of sensitive materials for standard and improvised explosives is greatly significant to homeland security. In this paper, the phosphotungstate (NaPT) doped polyphenylene vinylene (PPV) nanotube arrays (NTAs), with excellent optical response, chemical stability, and larger specific surface area, are successfully fabricated by means of the “precursor film” infiltration method. The efficient charge carriers' separation of PPV NTAs can be achieved by doping NaPT to realize the photoelectric detection of explosive vapors. In addition, the identification of six explosives, including ammonium nitrate (AN), dinitrotoluence (DNT), picric acid (PA), p-nitrotoluene (PNT), triacetone triperoxide (TATP), and trinitrotoluene (TNT), can also be realized through the fingerprint atlas. Moreover, the adsorption energy and excited oscillator intensity has also been employed to explain the interaction between NaPT doped PPV nanotube arrays and various explosive molecules. Obviously, the NaPT doped PPV developed has the potential to be used as an explosive sensor.     

A dual-stimuli-responsive intelligent layered lanthanide hydroxide for application in information security and latent fingerprint identification

With the rapid changes in the field of information, the research and development of optical storage materials with high security and large storage capacity are particularly important in the development of contemporary society. However, conventional memory materials with static fluorescent outputs have the disadvantages of easy simulation and forgery, which limits their practical application in the protection of confidential information. In this research, a dual-stimuli-responsive intelligent fluorescent material based on Tb³⁺ and Eu³⁺ ions doped layered lanthanide hydroxide (LYH:Eu_xTb_1–xDPA) was fabricated, which can realize reversible multi-color luminescence conversion (from green to red) by varying the pH and temperature. Combined with the Morse code and security pattern, the multiple encryption and decryption of confidential information and anti-counterfeiting can also be realized. Therefore, the obtained intelligent fluorescent material has a great application prospect for information security. In addition, due to the excellent color tunability, the material can provide the possibility to obtain potential fingerprints with high contrast and no background interference on different color substrates. The unique dual-stimuli-responsive behavior of this material provides more ingenious design inspiration for the design of multi-color intelligent fluorescent devices.     

一种新型指纹锁电路设计

市场上主流的电子锁是基于密码设计的。密码锁的最大的缺陷是密码容易被他人窃取、猜测及遗忘。随着生物技术的发展,越来越多的活体技术应用到识别系统中,如指纹、掌纹、人脸、虹膜等。相对于其它的活体识别技术,指纹识别系统以其可实现性强,成本相对低廉,同时又具备较高的安全性,被越来越多的应用到各种场合。文章给出了一种新型的指纹锁架构,并详细论述了系统的各个组成部分以及指纹识别算法的实现流程。文章对降低系统功耗和增加保密性都提出了独特的方法。     

电子辐射对渗透和非渗透性客体上指纹信息记录的影响

由于恐怖分子利用邮政系统投寄携带炭疽病毒的邮件,传播病毒,已引起美国政府在邮政系统,选择地利用电子辐射杀死病毒。然而,这种病毒袭击并没有得到有效控制,却使信封内的邮件由于高温辐射,受到损坏。有报道说,由于电子辐射使纸张、珠宝、信用卡、软盘和光盘及其它电子材料受到损害。某些研究已在法庭科学中得到验证。本文介绍辐射过程在渗透和非渗透性客体上,对化学试剂、生物酶记录指纹信息的影响。     

3D fingerprint reconstruction system using feature correspondences and prior estimated finger model

The paper studies a 3D fingerprint reconstruction technique based on multi-view touchless fingerprint images. This technique offers a solution for 3D fingerprint image generation and application when only multi-view 2D images are available. However, the difficulties and stresses of 3D fingerprint reconstruction are the establishment of feature correspondences based on 2D touchless fingerprint images and the estimation of the finger shape model. In this paper, several popular used features, such as scale invariant feature transformation (SIFT) feature, ridge feature and minutiae, are employed for correspondences establishment. To extract these fingerprint features accurately, an improved fingerprint enhancement method has been proposed by polishing orientation and ridge frequency maps according to the characteristics of 2D touchless fingerprint images. Therefore, correspondences can be established by adopting hierarchical fingerprint matching approaches. Through an analysis of 440 3D point cloud finger data (220 fingers, 2 pictures each) collected by a 3D scanning technique, i.e., the structured light illumination (SLI) method, the finger shape model is estimated. It is found that the binary quadratic function is more suitable for the finger shape model than the other mixed model tested in this paper. In our experiments, the reconstruction accuracy is illustrated by constructing a cylinder. Furthermore, results obtained from different fingerprint feature correspondences are analyzed and compared to show which features are more suitable for 3D fingerprint images generation.     

Fast fingerprint identification for large databases

Fingerprint matching has emerged as an effective tool for human recognition due to the uniqueness, universality and invariability of fingerprints. Many different approaches have been proposed in the literature to determine faithfully if two fingerprint images belong to the same person. Among them, minutiae-based matchers highlight as the most relevant techniques because of their discriminative capabilities, providing precise results. However, performing a fingerprint identification over a large database can be an inefficient task due to the lack of scalability and high computing times of fingerprint matching algorithms.In this paper, we propose a distributed framework for fingerprint matching to tackle large databases in a reasonable time. It provides a general scheme for any kind of matcher, so that its precision is preserved and its time of response can be reduced.To test the proposed system, we conduct an extensive study that involves both synthetic and captured fingerprint databases, which have different characteristics, analyzing the performance of three well-known minutiae-based matchers within the designed framework. With the available hardware resources, our distributed model is able to address up to 400 000 fingerprints in approximately half a second. Additional details are provided at http://sci2s.ugr.es/ParallelMatching.