基于SG算法的MEMS加速度传感器信号恢复研究

针对信号恢复前期存在局部干扰噪声,导致信号恢复质量较差和恢复速率较慢的问题,提出基于 SG 算法的 MEMS 加速度传感器信号恢复方法.将小波 SG 设定为传感器的预滤波单元,降低白噪声和局部强干扰对信号恢复产生的影响,同时结合 EEMD 抑制模式的特性剔除无利用价值的信号,提取有效的信号.将经过去噪处理信号的时间域平滑特性和空间平滑特性相结合,组建联合图模型.通过联合图模型中传感器信号的关联特性设计迭代恢复算法,最终完成 MEMS 加速度传感器信号恢复.实验结果表明,基于 SG 算法的 MEMS 加速度传感器信号恢复方法,可获取高质量和高效率的信号恢复结果.     

Otway-Rees协议并行攻击的SG逻辑分析

网络信息安全很大程度上取决于密码协议的安全,重放攻击和并行攻击是对密码协议的常见攻击,能够分析并行攻击的形式化分析方法并不多见。该文介绍了一种分析密码协议并行攻击和重放攻击的逻辑方法——SG逻辑,应用它对改进版的Otway-Rees协议进行了分析,找出了BAN类逻辑所不能分析出来的缺陷,针对该缺陷给出了协议的进一步改进,并推证了改进后的协议对SG逻辑的分析是安全的。     

PWR核电站蒸汽发生器传热管和主管道的应力腐蚀破裂研究

用慢应变速率试验(SSRT)、恒载荷试验(CLT)和低周循环载荷试验方法研究以秦山和大亚湾核电站安全为目的的有关压力边界管道破裂始发事件应力腐蚀破裂(SCC)的行为,为评价管道的结构完整性提供支持性实验数据。研究的材料有核等级主管道焊接热影响区(WHAZ)316不锈钢(SS),核等级蒸汽发生器(SG)传热管材Incoloy-800、Inconel-600、Inconel-690和321SS。研究的影响因素包括材料冶金、表面喷丸处理、载荷、应变速率、循环载荷以及水化学条件对SCC的影响规律。     

Probabilistic safety analyses developments resurgence in Bulgaria—Kozloduy nuclear power plant example

This paper presents some of the main technical features and insights of the Kozloduy nuclear power plant (NPP) units 5 and 6 probabilistic safety analysis (PSA) level 1. Probabilistic analyses and their applications in Bulgaria were given further impetus in recent years. More than 17 years after the first PSA study in Bulgaria in 1992 today probabilistic analyses receive increasing attention and application than ever before. The Bulgarian regulatory body (BNRA) is also interested in expanding their capability of reviewing and using PSA in plant safety assessments. In November 2008 within the framework of the program financed by European Union (PHARE), a project for assisting the BNRA in establishing the regulatory requirements on the base of PSA was completed. One of the objectives of this project was performance of the independent review of Kozloduy NPP units 5 and 6 PSA. This review was a new impulse for the authors to present in more details of Kozloduy NPP probabilistic assessment studies in the present paper.     

A Quantitative Method of Analysis for Sterol Glycosides in Biodiesel and FAME Using GC-FID

Sterol glycosides (SG) are known to cause filter blocking problems in biodiesel use. The extraction and quantitative analysis of SG is difficult due to its low problematic concentration and its compatibility with biodiesel. The purpose of this study is to develop a method to quantify SG in FAME and biodiesel using gas chromatography and other equipment found in laboratories performing routine biodiesel analyses. SG was isolated from FAME using n‐dodecane, acidification and cold soaking, followed by cold centrifugation at ?8 to ?15 °C. The solids obtained were further separated by phase partition with a Folch wash, followed by a final n‐dodecane rinse. This solution was analyzed by GC‐FID using the operating conditions outlined in ASTM D6584. A calibration curve for SG was produced and a first order fit gave a value of r² = 0.992. Reproducibility tests were performed on soybean FAME and B100 canola biodiesel samples spiked with SG. The recovery of SG by the new method was found to be 99 % for soy FAME with a standard deviation of 0.7 and 100 % for B100 canola with a standard deviation of 3.5 %. The reproducibility based on two standard deviations of the predicted concentration for all 12 spiked samples studied in this work was 2.4 ppm.     

In bed and downstream hot gas desulphurization during solid fuel gasification: A review

Syngas produced by gasification process of biomass fuels is an environmental friendly alternative to conventional petrochemical fuels for the production of electricity, hydrogen, synthetic transportation biofuels and other chemicals. However, the advanced utilization of syngas is significantly limited due to the contaminants which can seriously deactivate the catalysts used for downstream reaction such as steam reforming methane, Fischer-Tropsch synthesis and corrosion of downstream equipments such as a gas turbine. Among the contaminants, sulphur compounds produced in the gasification process, which are mainly H₂S with small amounts of COS, CS₂ and thiophenes depending on process conditions, must be removed. For biomass feedstock advances are required in the cleanup technologies and processes to upgrade the raw product gas with minimal impact on the overall process efficiency. Hot gas desulphurization (HGD) can improve the overall thermal efficiency due to the elimination of fuel gas cooling and associated heat exchangers. With this aim, the present review paper highlights currently developed methods used for desulphurization of hot gas produced from gasification process of solid fuels. The methods presented here are for both in situ and downstream sulphur capture. Also, the attention is paid to the regeneration of the used materials. In situ sulphur capture is mainly done by using calcium-based sorbents such as limestone and dolomite, whereas downstream sulphur capture is mainly focused on the use of regenerable single, mixed, and supported metal oxides. A comparison is indicated at the end to show the sulphur loading of various materials.     

Protein crystallography from the perspective of technology developments

Early on, crystallography was a domain of mineralogy and mathematics and dealt mostly with symmetry properties and imaginary crystal lattices. This changed when Wilhelm Conrad Röntgen discovered X-rays in 1895, and in 1912, Max von Laue and his associates discovered that X-ray irradiated salt crystals would produce diffraction patterns that could reveal the internal atomic periodicity of the crystals. In the same year, the father-and-son team, Henry and Lawrence Bragg successfully solved the first crystal structure of sodium chloride and the era of modern crystallography began. Protein crystallography (PX) started some 20 years later with the pioneering work of British crystallographers. In the past 50–60 years, the achievements of modern crystallography and particularly those in PX have been due to breakthroughs in theoretical and technical advancements such as phasing and direct methods; to more powerful X-ray sources such as synchrotron radiation; to more sensitive and efficient X-ray detectors; to ever faster computers and to improvements in software. The exponential development of PX has been accelerated by the invention and applications of recombinant DNA technology that can yield nearly any protein of interest in large amounts and with relative ease. Novel methods, informatics platforms and technologies for automation and high-throughput have allowed the development of large-scale, high-efficiency macromolecular crystallography efforts in the field of structural genomics. Very recently, the X-ray free-electron laser sources and its applications in PX have shown great potential for revolutionizing the whole field again in the near future.     

Computational simulation of microstructure evolution during solidification of ductile cast iron

Abstract

This paper presents a thermomicrostructural model for the simulation of the solidification process of an eutectic ductile cast iron. The thermal balance is written at a macroscopic level and takes into account both the structural component being cast and its mould. Models of nucleation and growth represent the evolution of the microstructure, and the microsegregation of silicon is also considered. The resulting formulation is solved using a finite element discretisation of the macrodomain, in which the evolution of the microstructure is taken into account at the Gauss integration points. The numerical results are presented in terms of cooling curves and are compared with available experimental values. Furthermore, the sensitivity of the response with respect to changes in the cooling rate and nucleation parameters are investigated. The agreement between experimental and computational values is acceptable in both quantitative and qualitative aspects. Ways to improve the computational model are suggested.     

太阳能电动车电源控制系统的研究

分析了太阳能电动车现状，设计了一种太阳能电动车电源电路，同时，利用SG3525芯片设计了蓄电池boost电路，满足了电动车的负载需求。该系统具有效率高、响应快、稳定性好等优点，很好地满足了太阳能电动车供电需求。     

基于剪枝堆栈泛化的离线数据驱动进化优化

现实世界中存在很多目标函数的计算非常昂贵, 甚至目标函数难以建模的复杂优化问题. 常规优化方法在解决此类问题时要么无从入手, 要么效率低下. 离线数据驱动的进化优化方法不需对真实目标函数进行评估, 跳出了传统优化方法的固铚, 极大推动了昂贵优化问题和不可建模优化问题的求解. 但离线数据驱动进化优化的效果严重依赖于所采用代理模型的质量. 为提升离线数据驱动进化优化的性能, 提出了一个基于剪枝堆栈泛化(Stacked generalization, SG)代理模型构建方法. 具体而言, 一方面基于异构的基学习器建立初级模型池, 再采用学习方式对各初级模型进行组合, 以提升代理模型的通用性和准确率. 另一方面基于等级保护指标对初级模型进行剪枝, 在提高初级模型集成效率的同时进一步提升最终代理模型的准确率, 并更好地指导种群的搜索. 为验证所提方法的有效性, 与7个最新的离线数据驱动的进化优化算法在12个基准测试问题上进行对比, 实验结果表明所提出的方法具有明显的优势.