提高自动评分速度的方法研究

在计算机自动评分过程中,存在读取数据量大,评分过程运行缓慢,甚至造成计算机假死的现象,这些现象使系统的交互性、友好性不强,严重影响了计算机自动考试系统的推广与使用。针对这些问题,在此采用内嵌XML格式的数据、缓存技术及多线程方法对自动评分过程进行了优化。经过在学校多次的实践证明,经过优化的自动评分过程不需要与服务器频繁的交互,且运行速度有了很大的提高,增强了系统的交互性与友好性,这些方法在目前大多自动评分系统中值得推广使用。     

Semantic segmentation and summarization of music: methods based on tonality and recurrent structure

This paper describes a study on automatic music segmentation and summarization from audio signals. The paper inquires scientifically into the nature of human perception of music and offers a practical solution to difficult problems of machine intelligence for automated multimedia content analysis and information retrieval. Specifically, three problems are addressed: segmentation based on tonality analysis, segmentation based on recurrent structural analysis, and summarization. Experimental results are evaluated quantitatively, demonstrating the promise of the proposed methods     

Automated modeling and analysis of CSMA-type access schemes for building automation networks

During the design of large technical systems, the use of analytic and simulative models to test and dimension the system before implementation is of practical importance for an efficient and reliable design process. However, setting up the necessary models is time-consuming and therefore often too expensive in practice. Usually most information for modeling is already available in the design tool used to develop such extensive systems and only needs to be extracted for automatic model building. This paper presents an automated modeling approach from an existing design database using the example of a network analysis for building automation fieldbuses. The analysis is based on an analytical decomposition approach that enables fast estimation of performance measures for large-scale networks. The combination of fast analytical algorithms with automatic model generation allows network performance engineering with minimized effort for model generation and analysis.     

Development of wireless brain computer interface with embedded multitask scheduling and its application on real-time driver's drowsiness detection and warning

Biomedical signal monitoring systems have been rapidly advanced with electronic and information technologies in recent years. However, most of the existing physiological signal monitoring systems can only record the signals without the capability of automatic analysis. In this paper, we proposed a novel brain-computer interface (BCI) system that can acquire and analyze electroencephalogram (EEG) signals in real-time to monitor human physiological as well as cognitive states, and, in turn, provide warning signals to the users when needed. The BCI system consists of a four-channel biosignal acquisition/amplification module, a wireless transmission module, a dual-core signal processing unit, and a host system for display and storage. The embedded dual-core processing system with multitask scheduling capability was proposed to acquire and process the input EEG signals in real time. In addition, the wireless transmission module, which eliminates the inconvenience of wiring, can be switched between radio frequency (RF) and Bluetooth according to the transmission distance. Finally, the real-time EEG-based drowsiness monitoring and warning algorithms were implemented and integrated into the system to close the loop of the BCI system. The practical online testing demonstrates the feasibility of using the proposed system with the ability of real-time processing, automatic analysis, and online warning feedback in real-world operation and living environments.     

自动化测试在动态文档发布系统中的应用

文章首先介绍了动态文档发布系统,然后为了达到保证文档保真度不因系统升级而降低的目的,提出了一种轻量级的自动化测试框架,它能够对该系统进行自动化测试.然后,根据对该自动测试框架的要求,结合对实际系统各个模块的分析,运用模拟的方法绕过原系统对数据库的依赖,提出并实现了一个完整的解决方案.本方案既保证了客户文档在不同版本动态...     

基于小波分析的调制识别技术研究

通信信号的调制制式自动识别是信号智能化分析及处理中的关键问题。该项技术目前正广泛应用于军事、民用、商业和气象等众多领域。针对非稳定、大信噪比变化的通信信号,运用小波分析技术进行了有效的特征提取和分类,能够实现通信信号基本调制制式的自动识别,并且使识别正确率得到了明显提高。     

CCD图像传感器电极间漏电流自动化测试系统设计

CCD图像传感器电极间漏电流是反映CCD器件可靠性的一个关键参数,在CCD图像传感器的生产过程中,对其电极间漏电流测试是一个重要的检测筛选环节。基于一种漏电流自动化测试方法,设计了一种CCD电极间漏电流自动化测试系统。该系统可根据不同种类CCD器件,自定义被测信号名称、测试通道地址和测试判据,通过计算机软件控制自动循环扫描,自动采集漏电电流数据,形成标准测试报表。该系统具有设置灵活、操作方便、自动化测试等优点,可有效提升CCD生产检查筛选过程中的测试效率和测试设备的通用性。     

自动量程控制在DNA电化学信号采集仪中的应用

介绍一种基于电化学分析技术,用于疾病早期诊断的DNA电化学信号采集仪。详细阐述了仪器中的自动量程控制系统如何实现自动调整采样灵敏度。在此系统中,DSP处理器根据采集到的电流信号值控制两片数字电位器,从而调整J／y转换的灵敏度,实现自动量程控制的功能,这样就避免了手动设置灵敏度,提高了采样的灵活性和准确性。     

Industrial Applications of Online Machining Process Monitoring System

An online machining process monitoring system has been constructed by taking advantage of the new achievements in data acquisition, sensor technology, and signal processing. Firstly, the architecture of monitoring system with the capability of automatic online acquisition, presentation, and analysis sensory signals is designed. Secondly, wavelet transform is further explored to decompose sensory signals into static and dynamic components for the purpose of extracting distinctive features associated with different tool malfunctions. Thirdly, by conjunction with the wavelet transform, univariate and multivariate statistical process monitoring techniques are proposed to construct the thresholds of malfunction-free machining zone. Short time Fourier transform is further introduced to detect the onset of chattering in machining processes. Finally, the effectiveness of the developed techniques and monitoring system has been demonstrated by experimental results obtained from the extensive industrial machining trials.     

A study on ℜm→ℜ1 maps:application to a 0.16-μm via etch process endpoint

We introduce several endpoint algorithms that map real-time, in situ process signals to a via etch process endpoint. Some of the mathematical techniques include: Andrews plots (Fourier series), Chebyshev polynomials, Legendre polynomials, wavelets, singular value decomposition, and neural networks. We show that many of the techniques work to varying degrees of success for a via etch process on 0.16-μm technology. Based on our observations from many lots of manufacturing wafers and experiments with all the endpoint methods, we believe the Chebyshev polynomial area-time curves perform the best, but this statement should be taken with a caveat. It is really best to empirically test the various methods for a given etch process to deduce the endpoint algorithm for that application     

可编程序控制器在混合液体加工控制中的应用

通过对某一混合液体加工工艺过程的分析,采用FX2N-48MR可编程序控制器实现加工生产过程的自动／手动控制,利用PLC输出的开关信号,经过由光电偶合器组成的驱动电路,输出数字信号去控制阀门电动执行器,以控制阀门的开启与关闭,完成液体生产过程的自动／手动控制。克服了采用继电器-接触器控制系统大量使用中闻继电器,存在故障率高、体积大、操作复杂、控制精度低等缺点,从而实现对温度、阀门等对象的控制。减少了设备的故障率和废料率,降低了生产成本。控制过程稳定、可靠,提高了生产效率。     

片式多层陶瓷电容器全自动薄膜丝印机的研制

针对目前片式多层陶瓷电容器生产工艺的主要特点,提出了一种适用于Roll to Roll制造工艺的全自动薄膜丝印机,并从工作原理及系统构成、丝印原理、薄膜载体的输送运动、干燥原理、电气控制系统等方面进行了研究与开发,达到了实际生产的要求。     

Automatic vehicle guidance and control—A state of the art survey

Highway automation is an attractive possible solution to some of the problems posed by an ever-increasing number of motor vehicles, as it would probably result in substantial increases in traffic-flow rates and a dramatic reduction in the numbers of highway accidents and fatalities. One practical system involves a roadway complex of the future, consisting of both automated and nonautomated roads, which will have evolved in an orderly and progressive manner from the roadway system of today. Only the main highways would be automated, and dual-mode vehicles would be used. The two major related technical areas in this framework are the physical characteristics of the various required subsystems for vehicle guidance and control and the optimum operation of the overall highway system. The elements of the former are divided into eleven categories: automatic longitudinal control, vehicle-spacing detection, communication systems, automatic lateral control, automatic merging control, controlled lane changing, vehicle propulsion, system decision-making capability, compatible manual mode, automatic vehicle checkout, and evolutionary developments. The role and state of the art of each category are discussed in detail, together with the complex interrelationships which exist among categories. Although some research has been accomplished, substantial future research and development progress will be necessary before an automated highway system is a practical reality.     

基于聚类数据融合的装配轨迹自动修正算法北大核心CSCD

在大型结构件装配过程中,为了减小多激光雷达组网系统的测量误差,并实现装配轨迹的自动修正,设计了基于聚类算法的装配轨迹自动修正系统。通过聚类分析完成对站位布局的优化,利用残差补偿实现多站数据的融合,并完成了5种不同状态的单站及多站距离精度测试。实验结果显示,在单站精度几乎一致的条件下,经优化布局后的系统转站测量不确定度由1.25 mm提升至0.45 mm。在装配轨迹修正实验中,获得了半径为3.5 m圆域内激光雷达随偏转角变化的匹配数据规律。测试分析了5个位置点的坐标值与位姿偏移量,在三个轴向上的位置偏差均值分别为0.042 mm、0.033 mm和0.039 mm,位姿偏角均值分别为0.25°、0.23°和0.49°。可见,装配轨迹修正量与转站测量不确定度相近,该系统可以实现对装配过程的在线自动修正。其可有效降低多激光雷达组网系统的数据融合误差,在自动化装配领域具有一定的价值。     

一种用于电视无源双基地雷达系统中的射频接收系统

主要介绍了一种低噪声大动态接收机的设计。该机用于电视无源双基地雷达系统中，接收参考信号直达波。该接收机采用了自行设计的低噪声射频放大器，降低了接收机的整机噪声系数，使用了AGC（自动增益控制）结构，大大提高了接收信号的范围。因此采用低噪声大动态接收机可以提高接收信号的灵敏度和信噪比，使得系统信号处理的准确度大大提高。     

Integration of amplitude and phase statistics for complete artifact removal in independent components of neuromagnetic recordings

In magnetoencephalography (MEG) and electroencephalography (EEG), independent component analysis is widely applied to separate brain signals from artifact components. A number of different methods have been proposed for the automatic or semiautomatic identification of artifact components. Most of the proposed methods are based on amplitude statistics of the decomposed MEG/EEG signal. We present a fully automated approach based on amplitude and phase statistics of decomposed MEG signals for the isolation of biological artifacts such as ocular, muscle, and cardiac artifacts (CAs). The performance of different artifact identification measures was investigated. In particular, we show that phase statistics is a robust and highly sensitive measure to identify strong and weak components that can be attributed to cardiac activity, whereas a combination of different measures is needed for the identification of artifacts caused by ocular and muscle activity. With the introduction of a rejection performance parameter, we are able to quantify the rejection quality for eye blinks and CAs. We demonstrate in a set of MEG data the good performance of the fully automated procedure for the removal of cardiac, ocular, and muscle artifacts. The new approach allows routine application to clinical measurements with small effect on the brain signal.      

From Holter monitors to automatic defibrillators: developments in ambulatory arrhythmia monitoring

In 1961, Holter reported a design of a tape recorder that acquired and stored electrocardiographic (ECG) signals from ambulatory patients. This made long-term monitoring of patients in their day-to-day environments possible. The next generation of devices employ microcomputer circuits for automatic interpretation of cardiac arrhythmias. Implantable pacemaker also show some arrhythmia interpretation capability. A special case is the automatic implantable defibrillator which recognizes the ventricular fibrillation signal. We present here the details of the original Holter recorder, the microcomputer-based arrhythmia monitor, and the automatic implantable defibrillator. In conjunction with the historic account of these developments, we present the current techniques of ambulatory ECG signal acquisition, processing, arrhythmia detection, and performance evaluation of automated arrhythmia detectors.     

一种新型的故障自动检测器

从系统角度详细阐述了一种新型故障自动检测系统的建立,简要介绍了自行研制开发的SFH001故障自动检测器的电路结构和制作工艺。它具有检测信号多种多样、灵敏度高、频带宽,响应速度快（50ns)、一致性好、可操作性强等特点,可广泛地应用于工业、国防等科学技术领域。     

LCD基板视觉自动对准系统及其图像处理

阐述LCD（液晶显示器）基板视觉自动对准系统的基本组成,标定及实现原理,介绍了图像处理技术在其中的应用,并着重讨论了图像处理算法。     

激光诱导击穿光谱技术在燃煤电厂及土壤污染物在线检测中的应用研究

介绍了自主研发的激光诱导击穿光强技术（LIBS）煤质在线检测设备,可完成自动取样并带有自清洁系统,能实时对电厂输煤管道中煤粉的C、Ca、Mg、Ti、Si、H、Al、Fe、S等元素进行自动定量分析并转化为工业分析（发热量和灰分）结果。提出了飞灰含碳量在线检测成套方案并研制了自动采样及LIBS检测装置,建立了去除C线中Fe线的数学方法,利用二阶多元非线性逆回归模型建立了定标方程来校正基底效应,获得了0.26%的C元素测量精度。开发了便携式LIBS设备用于土壤污染物的现场检测,可对土壤中的重金属污染物进行快速的定性分析。