格点Sierpinski地毯上具有正边界条件Ising模型的谱缝隙估计

主要采用Ising模型的blockdynamics方法,且对Ising模型正负粒子分离线高度进行估计.对于无外场的Ising模型,当参数β充分大时,给出了Ising模型谱缝隙的一个下界.     

Critical adsorbing properties in slits predicted by traditional polymer adsorption theories on Ising lattice

The critical adsorbing properties in slits and three-dimension （3D） phase transitions can be predicted by either Freed theory or Flory-Huggins theory. The mean field approximation in Flory-Huggins theory may cause apparent system errors, from which one can observe two-dimension （2D） phase transitions although it is not true. Monte Carlo simulation has demonstrated that Freed theory is more suitable for predicting adsorbing properties of fluids in slits than Flory-Huggins theory. It was found that from Freed theory prediction multilevel adsorption occurs in slits and the spreading pressure curves exhibit binodal points.     

Comparison of different triolein-based composite semipermeable membranes for passive sampling of organochlorine pesticides

Passive sampling methods have been widely used for more than 20 years because they can provide information on time-weighted average concentrations(CTWA) of hydrophobic organic contaminants in water.Many factors affect the efficiency and applicability of a passive sampling process.Among others,selection of the sampler design and choice of the supporting membrane material are important factors that determine the performance of passive samplers.In this work,the influences of some critical properties of membranes,such as membrane density,hydrophilicity of the membrane surface,and chemical and mechanical resistances,on the uptake of organic chlorinated pesticides(OCPs) were evaluated.Four membrane materials,namely cellulose acetate(CA),cellulose acetate butyrate(CAB),a cellulose acetate-cellulose triacetate blend(CA-CTA),and cellulose triacetate(CTA),and their triolein-embedded samplers were selected for the study.The four membranes are all hydrophilic;CAB has the highest contact angle and CA has the lowest.CTA is chemically and mechanically resistant,and has better tensile strength than the other membranes have.CAB does not have good chemical resistance and dissolves in hexane/dichloromethane solvent.CA and CTA alone showed lower uptake rates for the selected OCPs than with triolein-embedded passive samplers,indicating that triolein increased the accumulation capacity.Triolein-embedded CA(TECAM),CA-CTA(TECA-CTA),CTA(TECTA),and CAB(TECAB) as passive samplers showed similar uptake patterns;TECTA showed the highest uptake rates and TECAB showed the poorest accumulation.In summary,TECTA gave the best performance among all the tested composite semipermeable membranes.     

水下分散自重构机器人取样模块的设计

摘要：
针对水下分散自重构机器人工程样机取样模块的结构特点,设计了一种与水下自重构机器人工程样机配套使用的新型抓斗式取样模块,介绍了其工作与控制原理和搭载方式,并研究了取样模块工作时的受力情况.结果表明,所设计的取样模块具有较好的可靠性. 关键词：
水下自重构; 水下取样器; 抓斗式; 取样模块 中图分类号： TP 24
文献标志码： A     

关于两种活化熵△≠rS(θ)m(c(θ))和△≠rS(θ)m(P(θ))的讨论

用热力学方法处理过渡状态理论的艾林方程,选择两种不同参考点作为标准态,得出两个不同的计算公式,两种类型的活化自由能、活化焓、活化熵意义数值不同,对于理想气体的反应,两种类型的活化焓相等,活化熵不等,但两种活化熵之间存在定量关系式:△≠rSθm(Pθ)=△≠rSθm(cθ) (n-1)Rln[Pθ/RTcθ].     

左截断右删失数据下泊松分布参数多变点的贝叶斯估计

通过添加缺损的寿命变量数据得到左截断右删失数据下泊松分布的完全数据似然函数.给出变点位置和其它参数的满条件分布.利用Gibbs抽样与Metropolis-Hastings算法相结合的MCMC方法对各参数的满条件分布分别进行抽样,介绍MCMC方法的实施步骤.把Gibbs样本的均值作为各参数的贝叶斯估计.随机模拟试验的结果表明各参数贝叶斯估计的精度都较高.     

基于Bayesian方法的参数估计和异常值检测

异常值检测是当前数据分析研究中的一个重要研究领域。模型中的异常值会直接影响建模、参数的估计、预测等问题。基于模型的异常值检测,传统的做法是先对模型参数进行估计,再进行异常值检测。而异常值的存在会影响参数估计,从而导致下一步异常值检测的不可靠;反之异常值检测也会影响参数估计。针对这些不足之处,提出了基于 Bayesian 方法的参数估计和异常值检测,此方法可以将参数估计和异常值检测同时实现,具体做法是在线性回归模型中引入识别变量,基于 Gibbs 抽样算法,给出识别变量后验概率的计算方法,通过比较这些识别变量的后验概率进行异常值定位,同时给出参数的估算方法。通过大量的模拟实验,结果表明,与传统方法相比,提出的方法对异常值更灵敏。     

导数空间的新型D'Alembert原理及任意阶非完整系统的Gibbs-Appell方程

在导数空间中,将非完整系统变成为形式上的完整系统,建立了导数空间中新型的Ｄ’Ａｌｅｍｂｅｒｔ原理,得到了任意阶非完整系统通常形式和新型形式的ＧｉｂｂｓＡｐｐｅｌｌ 方程,并给出方程的算例。     

小波阈值法在图像去噪领域的应用研究

小波阈值法在图像去噪领域已经成为热门的研究方向,为了使人们能对小波阈值法有概括性的了解.在对小波阈值法现有技术的优缺点进行分析的前提下,总结出小波阈值法在图像去噪领域的三个主要研究方向,即阈值选择的自适应性,小波系数的分布模型,以及防止Gibbs振荡,并探讨了小波阈值法在图像去噪领域的发展方向.     

自动驾驶自动紧急制动关键场景测试案例提取研究

为提取自动驾驶自动紧急制动(autonomous emergency braking system,AEB)关键场景测试案例,依据不同抽象程度依次重构符合自然驾驶规律的功能场景、逻辑场景、具体场景,进而对AEB系统展开测试并求解其关键场景。从自然驾驶数据集NGSIM筛选出车辆跟随实例构建出功能场景,基于场景要素构建功能场景,提取出该场景的关键字要素,采用高斯混合模型拟合自然驾驶数据,获得具有概率密度分布的逻辑场景,基于Gibbs抽样的蒙特卡洛方法生成具体测试实例,并通过重要性抽样方法生成关键场景。最后对生成到的关键场景聚类加速场景生成,并对其AEB系统在Prescan仿真软件进行测试。结果表明,AEB系统可对生成的关键场景实现避免碰撞。