汽车制动力分时检测与分析

针对现有的制动力检测台在检测中存在的问题，采用IBM486计算机为主机研制了制动力分时检测与分析系统，并且设计了模糊评判分析程序，利用多层次综合评判法进行了故障分析。该系统主要是对制动力的两个主要控制量（制动力的大小及其响应时间）进行分析。

具有熵加权HID特征的MACF昼夜分时行人检测算法

针对外部环境的复杂多变性导致基于传统多光谱聚合通道特征(MACF)的行人检测算法漏检率高的问题,在提取红外通道梯度方向直方图(HOG)特征时,利用局部区域的邻域像素强度差异估计和信息熵分析,构建新的熵加权强度差异直方图(EWHID)特征,来加强行人目标边缘轮廓部分对整体特征的贡献程度。针对昼夜不同环境条件下多光谱行人特征存在差异导致误检率较高的问题,利用HSV颜色空间直方图信息建立的检测器对输入图像进行昼夜分类,用训练好的日间和夜间Real Adaboost分类器对图像进行昼夜分时检测。仿真实验结果表明:相比于MACF行人检测算法误检窗口减少,检测精度提升。

PLC在快速检测分时器中的使用

快速检测分时器可以提高医用各种试条检测的速度 ,以提高试条检测效率 。

荧光屏涂层混色检测图像处理方法研究

研究了利用单色检测系统检测荧光屏彩色涂层中的残留和混色的图像处理方法；利用图像像素之间相关等性质，解决了分色和区域分割的自适应问题，实验结果表明，该方法的检测精度达到了一个像素级，且具有较强的鲁棒性．

变电站直流电源系统绝缘电阻检测技术的研究与应用

研究设计了在变电站直流电源系统中采用主子绝缘监测系统实现直流电源系统母线和馈线支路正负极对地绝缘电阻的监测。主子绝缘监测系统由直流绝缘监测装置和直流漏电流监测模块组成,直流绝缘监测装置作为绝缘监测主机,直流漏电流监测模块作为绝缘监测从机。在主子绝缘监测系统中,采用绝缘监测主机冗余备用技术,有效避免了直流电源系统中因绝缘监测主机故障而引发的直流系统绝缘监测系统瘫痪风险;采用平衡桥和检测桥分时联动技术及直流漏电流检测法实现对直流母线和馈线支路正负极均衡绝缘接地故障监测。目前,主子绝缘监测系统已经在多省市、县级变电站中投入运行,实现了对直流电源系统发生母线和馈线支路单极或正负极均衡绝缘降低或接地时的快速监测和告警;同时主子绝缘监测系统通过采用一定的算法处理保证了较好的绝缘电阻监测精度,为变电站直流电源系统的安全可靠运行提供了有力保障。

钢丝绳芯输送带探伤装置的应用

介绍钢丝绳芯输送带探伤装置组成。

单片机LPC767红外冲压防护装置的设计

以HS0038作为红外接收器,详细介绍了该防护装置所采用的基于单片机LPC767控制的分时发射分时检测方法,以及其硬件电路的设计和程序的实现.结果表明,该防护装置安装在开式压力机上具有反应快、安全可靠、抗干扰能力强等优点.

用存储器译码设计的病房呼叫仪

介绍一种采用存储器译码显示、开关矩阵输入分时逐一检测技术设计而成的能对６４张病床进行统一监护的病房呼叫仪．

SF_6电气设备绝缘状态在线监测系统的研制及应用

对前期研制的在线监测系统不足之处进行优化,研制出SF_6电气设备绝缘状态在线监测系统,实现了单对多的监测目标。一台系统可同时监测3台SF_6设备中SO_2含量、SF_6纯度及湿度,并通过61850转换模块,将监测信息接入贵州电网变电设备在线监测及状态评价系统主网平台,全网远程监控,便于对设备状态进行综合评估。经第三方检验和现场应用,研制的SF_6电气设备绝缘状态在线监测系统满足应用要求。

EM-based detection scheme for differential unitary space-time modulation

The performance loss of an approximately 3 dB signal-to-noise ratio is always paid with conventional differential detection compared to the related coherent detection. A new detection scheme consisting of two steps is proposed for the differential unitary space-time modulation （DUSTM） system. In the first step, the data sequence is estimated by conventional unitary space-time demodulation （DUSTD） and differentially encoded again to produce an initial estimate of the transmitted symbol stream. In the second step, the initial estimate of the symbol stream is utilized to initialize an expectation maximization （EM）-based iterative detector. In each iteration, the most recent detected symbol stream is employed to estimate the channel, which is then used to implement coherent sequence detection to refine the symbol stream. Simulation results show that the proposed detection scheme performs much better than the conventional DUSTD after several iterations.

Anomaly Detection in MODIS Land Products via Time Series Analysis

With remote sensing information products becoming increasingly varied and arguably improved, scientific applications of such products rely on their quality assessment. In an operational context such as the NASA (National Aeronautics and Space Administration) information production based on the MODIS (Moderate Resolution Imaging Spectroradiometer) instrument on board Earth Observing System (EOS) Terra and Aqua satellites, efficient ways of detecting product anomaly, i.e., to discriminate between product artifacts and real changes in Earth processes being monitored, are extremely important to assist and inform the user communities about potential unreliability in the products. A technique for anomaly detection, known as MAD (the median of absolute deviate from the median), in MODIS land products via time series analysis is described, which can handle intra- and in-ter-annual variation in the data by using MAD statistics of the original data and their first-order difference. This method is shown to be robust and work across major land products, including NDVI, active fire, snow cover, and surface reflectance, and its applicabil-ity to multi-disciplinary products is anticipated.

Rapid Detection of Filoviruses by Real-time TaqMan Polymerase Chain Reaction Assays

Ebola virus （EBOV） and Marburg virus （MARV） are causative agents of severe hemorrhagic fever with high mortality rates in humans and non-human primates and there is currently no licensed vaccine or therapeutics. To date, there is no specific laboratory diagnostic test in China, while there is a national need to provide differential diagnosis during outbreaks and for instituting acceptable quarantine procedures. In this study, the TaqMan RT-PCR assays targeting the nucleoprotein genes of the Zaire Ebolavirus （ZEBOV） and MARV were developed and their sensitivities and specificities were investigated. Our results indicated that the assays were able to make reliable diagnosis over a wide range of virus copies from 103 to 109, corresponding to the threshold of a standard RNA transcript. The results showed that there were about 101 RNA copies per milliliter of virus culture supernatant, equivalent to 10,000 RNA molecules per infectious virion, suggesting the presence of many non-infectious particles. These data indicated that the TaqMan RT-PCR assays developed in this study will be suitable

Analysis on the Parameter Selection Method for FLUSH+RELOAD Based Cache Timing Attack on RSA

FLUSH+RELOAD attack is recently proposed as a new type of Cache timing attacks.There are three essential factors in this attack,which are monitored instructions.threshold and waiting interval.However,existing literature seldom exploit how and why they could affect the system.This paper aims to study the impacts of these three parameters,and the method of how to choose optimal values.The complete rules for choosing the monitored instructions based on necessary and sufficient condition are proposed.How to select the optimal threshold based on Bayesian binary signal detection principal is also proposed.Meanwhile,the time sequence model of monitoring is constructed and the calculation of the optimal waiting interval is specified.Extensive experiments are conducted on RSA implemented with binary square-and-multiply algorithm.The results show that the average success rate of full RSA key recovery is89.67%.

Timing issues in distributed testing

The objective of conformance testing is to determine whether an implementation under test (IUT) conforms to its specification. In distributed test architecture where there are multiple remote testers, the objective can be complicated by the fact that testers may encounter controllability and observability problems during the application of a test sequence. A certain amount of work has been done in the area of generating test sequence that is free from these problems. However, few researchers investigate them from the aspect of test execution. This work studies the test execution phase when test sequences are applied to the imple- mentation and it is pointed out that controllability and observability problems can be resolved if and only if the test system im- plements some timing constraints. When determining these constraints, the dynamic time information during test is taken into account, which reduces the test execution time and improves test efficiency further.

MODIFIED HIGHER ORDER SPECTRAL ANALYSIS BASED TDE ALGORITHM FOR CFAR SIGNAL DETECTION PROBLEM

With the conditions of small data size and low Signal-to-Noise Ratio (SNR), the application of Higher Order Statistics (HOS) is restrained not only by its high estimation variance,but also by its low estimation precision. Therefore, a modified HOS based Time Delay Estimation (TDE) algorithm is proposed to overcome these problems. Comparing with the conventional TDE algorithms, the estimation variance is improved greatly. A typical simulation example is completed in order to test the performance of the algorithm proposed, which shows that the proposed algorithm has advantages over the traditional ones in both detection performance and computation efficiency.

Traffic An o ma ly De te ctio n in Backbone Networks Using C la s s ifica tio n o f M u Itid ime n s io n a I Time Series of Entropy

Detecting traffic anomalies is essential for diagnosing attacks. HighSp eed Backbone Net works （HSBN） require Traffic Anomaly Detection Systems （TADS） which are accurate （high detec tion and low false positive rates） and efficient. The proposed approach utilizes entropy as traffic distributions metric over some traffic dimensions. An efficient algorithm, having low computational and space complexity, is used to estimate entro py. Entropy values over all dimensions are

Detecting P2P Botnet by Analyzing Macroscopic Characteristics with Fractal and Information Fusion

Towards the problems of existing detection methods,a novel real-time detection method(DMFIF) based on fractal and information fusion is proposed.It focuses on the intrinsic macroscopic characteristics of network,which reflect not the "unique" abnormalities of P2P botnets but the "common" abnormalities of them.It regards network traffic as the signal,and synthetically considers the macroscopic characteristics of network under different time scales with the fractal theory,including the self-similarity and the local singularity,which don't vary with the topology structures,the protocols and the attack types of P2P botnet.At first detect traffic abnormalities of the above characteristics with the nonparametric CUSUM algorithm,and achieve the final result by fusing the above detection results with the Dempster-Shafer evidence theory.Moreover,the side effect on detecting P2P botnet which web applications generated is considered.The experiments show that DMFIF can detect P2P botnet with a higher degree of precision.

Real-time Forward Vehicle Detection Method Based on Edge Analysis

This paper proposes a method which uses the extended edge analysis to supplement the inaccurate edge information for better vehicle detection during vehicle detection. The extended edge analysis method detects two vertical edge items, which are the borderlines of both sides of the vehicle, by extending the horizontal edges inaccurately due to the illumination or noise existing on the image. The proposed method extracts the horizontal edges with the method of merging edges by using the horizontal edge information inside the Region of Interest （ROI）, which is set up on the pre-processing step. The bottona line is determined by detecting the shadow regions of the vehicle from the extracted hoodzontal edge one. The general width of the vehicle detecting and the extended edge analyzing methods are carried out side by side on the bottom line of the vehicle to determine width of the vehicle. Finally, the finmal vehicle is detected through the verification step. On the road image with conaplicate background, the vehicle detecting method based on the extended edge analysis is more efficient than the existing vehicle detecting method which uses the edge information. The excellence of the proposed vehicle detecting method is confirmed by carrying out the vehicle detecting experiment on the complicate road image.

AN ENHANCED DETECTION ALGORITHM FOR V-BLAST SYSTEM

A decoding method complemented by Maximum Likelihood (ML) detection for V-BLAST (Verti- cal Bell Labs Layered Space-Time) system is presented. The ranked layers are divided into several groups. ML decoding is performed jointly for the layers within the same group while the Decision Feedback Equalization (DFE) is performed for groups. Based on the assumption of QPSK modulation and the quasi-static flat fading channel, simulations are made to testify the performance of the proposed algorithm. The results show that the algorithm outperforms the original V-BLAST detection dramatically in Symbol Error Probability (SEP) per- formance. Specifically, Signal-to-Noise Ratio (SNR) improvement of 3.4dB is obtained for SEP of 10?2 (4×4 case), with a reasonable complexity maintained.

基于调制光源的八通道光电脉搏波检测系统

为了获取多波长的指端光电脉搏波信号来进行脉搏波特征分析,利用STM32F103ZE嵌入式平台设计了基于八波长激光调制光源的脉搏波检测系统。系统光源是由STM32控制的八波长激光组成的调制光源,再由光电二极管构成光电转换电路将光信号转换为易处理的电信号。系统结合巴特沃斯高通滤波电路与切比雪夫低通滤波电路的滤波特性设计了由这两种电路级联构成的带通滤波电路来减小噪声对脉搏波检测的影响,且在电路设计时采用OrCAD PSpice软件来对电路进行优化分析,滤波电路带宽选择0.2~60 Hz,以较大的限度保留光电脉搏波中的有用的生理信息。通过STM32利用分时检测的方法采集八通道脉搏波数据,检测结果显示系统成功检测到八通道光电脉搏波且脉搏波特征清晰,体现出0.2~60 Hz带通滤波电路对光电脉搏波的较好的处理效果。