Image processing using cellular neural networks based on multi-valued and universal binary neurons

Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an arbitrary mapping described by partially defined multiple-valued function on the single MVN. An arbitrary mapping described by partially defined or fully defined Boolean function, which can be non-threshold, may be implemented on the single UBN. The quickly converging learning algorithms exist for both types of neurons. Such features of the MVN and UBN may be used for solving the different problems. One of the most successful applications of the MVN and UBN is their usage as basic neurons in the Cellular Neural Networks (CNN). It opens the new effective opportunities in nonlinear image filtering and its applications to noise reduction, edge detection and solving of the super resolution problem. A number of experimental results are presented to illustrate the performance of the proposed algorithms.An erratum to this article can be found at     

复杂地区三维叠前时间偏移技术的应用

在常规地震数据处理过程中，反射波的偏移成像是基于地震数据的共深度点或共中心点叠加技术进行的，在地下地质构造相对复杂的地区，由于叠加过程的引入，导致了一些来自于大倾角地层或细微地质现象产生的地震反射信息的畸变或损失，而目前在算法上已经较为成熟的叠前偏移成像技术，便弥补了叠后偏移成像的不足，特别是在山前复杂构造区带，叠前偏移不仅能够使反射波准确成像，而且能够改善地震数据的信噪比和分辨率。     

宽带线性调频信号产主技术研究

本文介绍了采用数字基带产生结合倍频链扩展带宽的方法设计与实现了大带宽线性调频信号产生系统。详细分析研究了实现系统的三项关键技术，给出并分析了相应环节的输出信号。对系统进行了预失真补偿处理，成功实现了ＶＨＦ／ＵＨＦ波段、带宽达３００ＭＨｚ线性调频信号的产生。经脉冲压缩处理，主瓣旁瓣比（ＰＳ１Ｒ）在－３７ｄＢ以下。     

GALILEO频率结构和信号设计的分析

描述并分析了由欧盟GALILEO信号特别工作组提出的GALILEO全球卫星导航定位系统的频率结构和信号设计。     

FCC原料掺入裂解焦油的研究及其机理分析

在催化裂化固定流化床小试装置上，对裂化原料中掺入富含芳烃的添加剂－裂解焦油进行了考察，确定了添加剂的最佳掺入量为1％，与不掺添加剂的裂化原料相比，其汽油产率提高，生焦量和干气产率减少，汽油选择性变好。同时通过对添加剂的原料体系的结构研究，对添加剂影响催化裂化过程的机理进行了探讨。     

瑞利与非瑞利杂波背景下单、双参数杂波图的性能分析

对瑞利和非瑞利杂波中的单、双参数杂波图的控制虚警性能和检测性能进行了比较分析，并得到了双参数杂波图门限调整值的取值范围，得出了几点有益的结论。     

Quality of Crude Fish Oil Extracted from Herring Byproducts of Varying States of Freshness

ABSTRACT: Herring byproducts were stored at 2 and 15 °C for up to 72 h. Over time, significant increases of total volatile bases (TVB), histamine, putrescine, cadaverine, and tyramine were detected. However, only tyramine and TVB levels were temperature-dependent. The level of total polyunsaturated fatty acids (PUFAs) was constant. Longer byproducts storage gave rise to an oil with higher levels of free fatty acids, eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and total PUFAs, while fluorescent compounds were lower. A higher storage temperature led to oil higher in α-tocopherol and EPA levels and lower in anisidine value. Surprisingly, the oil with the highest content of PUFAs was not produced from the freshest byproducts, and oil with low oxidation products can be extracted from stored byproducts.     

仿真环境中的网络攻击模型设计

阐述了仿真环境中的网络攻击模型的设计,建立了一个网络攻击仿真模型,用以产生网络攻击,以达到摧毁网络的机密性、完整性和可用性的目的;采用知识表达的方法来建立模型,该模型包含具有知识库和推理机的专家系统,通过随时间而变化的量,使模型具有基于仿真时钟的推理能力;在攻击模型的设计中,定义了它的基本状态和状态跃迁函数,说明了模型的行为,以及攻击策略的制定,最佳策略的选择,攻击选择原则等问题。     

The development and application of a multiple wavelength illumination technique for the vision-based process monitoring of aero-structure riveting

Airframe riveting is a critical process that requires high levels of process monitoring and quality assurance due to the very high risk associated with the failure of such joints. This paper describes the development of the enabling technology developed for a machine vision-based process monitoring system. One of the key factors affecting the performance of a machine vision system is the quality of the lighting. In the application described in this paper the available lighting was severely limited by the confined space in which the system had to operate. The problem was also compounded by the reflective nature of the objects to be examined. The initial images obtained were not suitable for further processing due to the presence of significant shadows and specular reflections. A novel solution to this problem based on multiple wavelength illumination and signal processing is presented along with results from experimental trials of the approach.     

Elimination of organic matter present in wastewaters from the cork industry by membrane filtration

BACKGROUND: The first stage of the cork industrial process generates great volumes of wastewater with moderate to high organic pollutant content that must be purified using different procedures, such as filtration by membranes. RESULTS: The tangential filtration of these wastewaters was studied using two different laboratory equipments. In the first one, three ultrafiltration (UF) membranes were tested, with molecular weight cut‐off (MWCO) 100 kDa and 30 kDa, and two operating modes were used: total recycling of permeate and retentate streams, and in continuous mode, without recycling both streams. In the total recycling UF experiments, the influence of the operating variables on the permeate flux was first established. The effectiveness of the different membranes was determined by evaluating the rejection coefficients for several parameters that measure the global pollutant content of the effluent. The values found for these rejection coefficients were in the following order: ellagic acid and color > absorbance at 254 nm > tannic content > COD (chemical oxygen demand). In the continuous mode experiments, the fouling mechanism for each membrane was established by fitting the experimental data to various filtration fouling models given in the literature. The operating mode in the second equipment was batch concentration, and additional experiments were carried out with an UF membrane (2 kDa), and with a NF membrane (with MWCO in the range 150–300 Da). CONCLUSIONS: The three operating modes tested provided different rejection levels of organic matter; among them, the most effective procedure tested was batch concentration mode using a NF membrane. Copyright © 2007 Society of Chemical Industry