广东高教新村桩基岩石抗压强度测试成果分析

对一高层建筑桩基岩石抗压强度的 3种测试成果进行了回归分析 ,得出相关公式 利用公式 ,通过两较为简易的现场原位测试成果推算出较难获得的近似室内试验成果 ,从而对桩基岩石抗压强度作了客观的工程地质评价     

基于神经网络的动态QFD方法

为了更迅速全面地将顾客需求转化为质量特性 ,提出了基于神经网络的动态 QFD方法 .该方法将神经网络与 QFD方法相结合 ,建立了 QFD神经网络模型 .通过网络的学习训练 ,获得最优的关系模型 .该方法能快速地将顾客需求变化传递给设计者 ,从而在第一时间内完成新产品的开发 .并以实例介绍了顾客需求模型以及顾客需求的获取方法     

可控串补在天平500kV交流输变电工程中的应用

通过对天平500kV线路可控串补系统控制及保护模块的介绍,剖析了该可控串补系统固定式常规串补(FSC)和动态式可控串补(TCSC)的控制和触发过程及保护原理,强调随着可控硅、氧化锌非线性电阻等先进技术的研发和应用,串补技术在电网系统尤其是超高压远距离输电系统中的应用前景广阔。     

Bio-film formation on stainless steels Part 2. The role of seasonal changes, seawater composition and surface roughness

Bio-film formation on type 254 SMO stainless steel in Arabian Gulfwater was followed by measuring the variation of the open circuit potentials of test coupons under a variety of conditions. The time-potential curves exhibited two plateaus corresponding to oxide thickening and later to bio film development. The rate of film formation was found to depend on the ambient seawater temperature, which varied with the season. The reduction of the biological activity of the water through additions of pre-boiled and cooled seawater resulted in the retardation of bio-film formation and in the shift of the final steady-state potential towards less positive values. Similar behaviour was obtained when concentrating seawater by the addition of solid salt. The simultaneous reduction of biological activity and of salt content resulted. The characteristics ofthe formed bio-film depend on the nature ofthe metal surfaces. Smooth surfaces allowed the development of thin clear films while thicker dark films formed on coarse rough surfaces. These were usually associated with the growth of worm-like structures, initiating crevice and pitting corrosion.     

Fiber Bridging during Melt Electrowriting of Poly(ε-Caprolactone) and the Influence of Fiber Diameter and Wall Height

Melt electrowriting (MEW) is a direct-writing technology for small diameter fibers; however, due to electrostatic attraction, the technique is restricted in how close these microfibers can be positioned on the collector. Here, the minimum interfiber distance between parallel poly(ε-caprolactone) MEW microfibers is determined for different fiber diameters and number of layers on noncoated and star-shaped poly(ethylene oxide-stat-propylene oxide) (sP(EO-stat-PO))-coated glass coverslips. The effect of the fiber diameter, the number of fiber layers, and shape of turning loops affect precision and the minimum interfiber distance. Single fibers with diameter of 5, 10, and 15 µm have a minimum interfiber distance without fiber bridging of 33 ± 2.7, 54 ± 2.2, and 62 ± 2.7 µm, respectively. Increasing the number of layers to ten increases this minimum interfiber distance approximately twofold to 60 ± 3.5, 97 ± 4.5, and 102 ± 2.7 µm for the increasing fiber diameters. The sP(EO-stat-PO) slightly increases the minimum interfiber distance for the 15 µm diameter group only, with spacing for the 5 and 10 µm fibers unaffected by the coating. Identifying and determining the fabrication limits for MEW is highly instructional for users working and designing scaffolds with this technology.     

规则度量值序列的信息扩散估计研究

对若干连续期间的数据挖掘将形成规则的度量值序列。对度量值序列的参数估计，可获得度量值的基本特征参数，用作评价规则的兴趣度，掌握规则的演化规律。基于信息扩散原理，提出了适用于小样本的度量值扩散估计方法。以度量值序列作为非完备知识样本，讨论在波动和上升(下降)趋势下的序列参数计算。实验表明，该方法准确简便、抗干扰性好。     

A new expert system for learning management systems evaluation based on neutrosophic sets

There has been a sudden increase in the usage of Learning Management Systems applications to support learner's learning process in higher education. Many studies in learning management system evaluation are implemented under complete information, while the real environment has uncertainty aspects. As these systems were described by development organizations with uncertainty terms such as vague, imprecise, ambiguity and inconsistent, that is why traditional evaluation methods may not be effective. This paper suggests neutrosophic logic as a better option to simulate human thinking than fuzzy logic because unlike fuzzy logic, it is able to handle indeterminacy of information which expresses the percentage of unknown parameters. As previous studies suggested neutrosophic decision maker and neutrosophic expert systems as future work in ecommerce and e‐learning applications, this paper presents neutrosphic expert system for learning management systems evaluation. Information for building and validating the neutrosophic expert system is collected from five experts using surveys, and then analysis is done by using Fuzzytech 5.54d software. Finally, the comparison between fuzzy expert system and neutrosophic expert system results show that the neutrosophic logic is capable of representing uncertainty in human thinking for evaluating Learning Management Systems.     

Data stream classification with novel class detection: a review,comparison and challenges

Knowledge and Information Systems - Developing effective and efficient data stream classifiers is challenging for the machine learning community because of the dynamic nature of data streams. As a...