Evaluating the sampling pattern when detecting Zones of Abrupt Change

We present a method for detecting the zones where an irregularly sampled variable changes abruptly in the plane. Such zones are called Zones of Abrupt Change (ZACs). This method not only allows estimation of ZACs, but also testing of their statistical significance against the null hypothesis of a stationary correlated random field. The sampling pattern, in particular its local density, is crucial in the detection of potential ZACs. In this paper, we address the problem of evaluating the sampling pattern by assessing the power of the local test used for detecting ZACs. It is shown that mapping the power allows us to identify zones where ZACs may or may not be detected. The methodology is applied to a soil data set sampled at eight different dates in an agricultural field. Detecting ZACs for the soil water content allowed us to identify permanent structures in the agricultural field related to the boundaries between different soil types. Mapping the power for various sampling densities proved to be useful to determine the minimal sampling density necessary for detecting ZACs.

Roadside Measurements of Deforestation in the Amazon Area of Bolivia

This study describes the deforestation impact from three settlements, 5 de Junio, El Tigre, and 30 de Agosto, near the Madidi National Park in Bolivia. First deforestation rates along the road that connects the settlements and then deforestation within each settlement are examined. Landsat Thematic Mapper (TM) imagery from 1987, 1997, and 2000 were used to measure the deforestation. Face-to-face interviews were also used to collect detailed social and land-use information. Road-building and farming have been the major causes of deforestation in this region. The TM measurements indicate a high increase in the deforestation rate along the road in the area of study. The results also show a rapidly escalating deforestation rate in 5 de Junio, a potential high future deforestation rate in El Tigre, and a gradual deforestation increase in 30 de Agosto. The information provided by the settlers about clearing was compared with the imagery analysis. Generally, the settlers estimates were lower than the deforestation as derived from the imagery.     

An integrated off-on line approach for increasing stability and effectiveness of automated controlled systems based on pump dependability—case study: Offshore industry

Automated controlled systems are vulnerable to faults. Faults can be amplified by the closed loop control systems and they can develop into malfunction of the loop. A control loop failure will easily cause production stop or malfunction at a petrochemical plant. A way to achieve a stable and effective automated system is to enhance equipment dependability. This paper presents a standard methodology for the analysis and improvement of pump performance to enhance total operational effectiveness and stability in offshore industry based on dependability. Furthermore, it is shown how a reliability–safety analysis can be conducted through equipment dependability indicators to facilitate the mitigation of hazard frequency in a plant. The main idea is to employ principle component analysis (PCA) and importance analysis (IA) to provide insight on the pumps performance. The pumps of offshore industries are considered according to OREDA classification. The approach identifies the critical pump and their fault through which the major hazards could initiate in the process. At first PCA is used for assessing the performance of the pumps and ranking them. IA is then performed for the worst pump which could have most impact on the overall system effectiveness to classify their components based on the component criticality measures (CCM). The analysis of the classified components can ferret out the leading causes and common-cause events to pave a way toward improving pump performance through design optimization and online fault detection which ultimately enhance overall operational effectiveness.     

图像识别技术及其在机械零件无损检测中的应用

无损检测法是一种常用的故障诊断技术,故障诊断从本质上来讲就是模式识别问题,而模式识别又可以狭义地理解为图像识别。从介绍图像、图像识别、图像识别过程和图像识别系统的基本概念着手,就几种常用图像识别方法的原理和特点进行比较,给出了CCD图像获取系统的组成。最后,结合发动机曲轴的一种自动磁粉探伤系统实例,对系统的图像处理和识别流程进行详细的讨论,并针对一般无损检测系统难以满足曲轴的检测要求和精度要求的状况,提出经过改进的一种适用于曲轴的整体无损检测系统。该系统有助于高效和完整地获取整个曲轴的图像,提高图像信息的质量,从而提高发动机曲轴表面缺陷检测的准确性和可靠性。     

基于RBF网络的火灾探测信号处理算法研究

本文通过建立火灾探测信号处理的RBF网络模型,并与通常的BP网络模型和期望结果进行对比,结果表明:在进行火灾探测信号处理中,RBF网络可避免BP网络的局部极小以及收敛速度慢等缺点,在精度、训练速度等方面均优于BP网络。该研究为处理火灾探测信号等非结构问题提供了一种行之有效的方法。     

拟除虫菊酯农药残留检测技术研究进展

对近几年应用于拟除虫菊酯农药残留检测的气相色谱法、液相色谱法、毛细管电泳、薄层色谱、超临界流体色谱和光谱技术等实验室检测技术．免疫分析法及活体生物测定法等现场快速检测技术的国内外研究进展进行了综述,并对其发展趋势进行了展望．     

海洋环境下混凝土结构中钢筋锈蚀的检测

混凝土内钢筋的锈蚀是影响混凝土结构耐久性的重要因素。论述了海洋环境下钢筋常见的锈蚀类型和锈蚀机理,介绍了包括混凝土破型检测、电化学检测、物理检测等常用的钢筋锈蚀检测方法以及铁离子含量检测法、分析法等处于探讨和完善阶段的检测方法,并对各方法的优劣进行了论述。     

流动注射在线消解测定水中总氮的实验研究

采用流动注射在线消解测定水中总氮,分析速度快、检出限低、精密度和准确度较高。总氮质量浓度在200～2000μg/L与峰面积有良好的线性关系（r=0．9997）,方法检出限为0．0056mg／L。对水源水、地表水和废水样品的加标回收率测定中,均满足《生活饮用水卫生规范》对方法的要求。在水质检出中具有较好的应用价值。     

Control of Viral Contamination of Food and Environment

Viruses are often transmitted via food and the environment. Contamination may be controlled either by preventing its occurrence or by inactivating the contaminating virus. The majority of agents transmitted in this way are human enteric viruses, produced either in the intestines or the liver. They are shed in human feces (noroviruses also in vomitus) in a broad range of circumstances, and they are relatively stable outside the host. Non-enteric viruses are less often transmitted via foods and are generally less environmentally stable. Insofar as vaccines are available, they are able to prevent fecal shedding. Viruses shed in feces via the water-carriage toilet may be eliminated by proper treatment and disinfection of the wastewater. In the foods context, the most effective antiviral measures are cooking and hand washing. Detection methods are most useful after the fact, in investigating outbreaks and devising preventive measures.