不规则边坡稳定性的微积分算法

对滑坡做稳定性分析是滑坡防治的必要措施,滑坡稳定性的影响因素有很多,边坡坡形也是影响边坡稳定性的重要因素之一,但目前针对于边坡坡形对滑坡稳定性影响的研究相对较少。采用微积分算法对滑坡做稳定性分析,可以将不规则的滑坡面作为研究对象,再利用基于微积分算法的编程软件进行分析,确定不规则滑坡面的安全系数以及最危险滑动面。

基于微积分法的虹膜边缘检测技术的研究

当前社会,人们对于身份安全越来越重视,尤其是在一些高度保密或者涉及个人隐私方面的场合,一对一的身份识别显得尤为重要。而虹膜识别恰好具备高效、不易被仿造等特点,使其作为一项身份识别技术被推向了热潮。图像边缘检测一直是图像处理中的经典研究课题,也是至今仍没有得到圆满解决的一类问题。因此,探讨获取图像的边缘和轮廓的问题,是图像工程师们的重中之重。而虹膜识别技术中的边缘检测也如上所说是重要的一项技术,虹膜的内外边界可以近似地用圆来拟合。内圆表示虹膜与瞳孔的边界,外圆表示虹膜与巩膜的边界,但是这两个圆并不是同心圆。而如何更好、更准确地且不受外界干扰以及图像模糊情况下仍能较为有效地进行内外圆的边缘检测是研究的重点。文中就微积分法用于虹膜边缘检测方面展开了研究。

优化采用比例-微分-积分算法的调节系统的重根法

由于采用更复杂的算法和优化典型算法,新的自动调节装置使调节的品质大为提高,实现典型算法中最为完善的比例-微分-积分算法的手段已大大扩展.

平原河网地区农田面源污染月尺度入河系数精准测算方法

为充分考虑平原河网地区特有的地理环境和水系特点,精细化排摸其农田面源污染排放底数与排放特征,基于上海市“4+9”(4个市级试点+9个区级试点)农田面源污染试点监测评估成果构建了面源污染月尺度入河系数测算的成套技术方法体系。平原河网地区农田面源污染入河系数测算包括监测区域选取、基础资料搜集、监测单元划定、监测点位布设、采样监测周期和方式选择、自动采样触发条件和监测频次设置、监测指标选定、(净)入河系数计算、负荷分类评估、质量控制等10个重要环节。在农田入河排放口开展流量高频在线监测,并合理设置程序触发水质自动采样,以完整捕捉农田产流事件全过程。针对农田面源污染的脉冲式输出特征设置“先密后疏”的采样频次,结合水文监测数据对降水、灌溉和倒灌产流事件进行识别,根据施肥时间节点等选取典型产流事件开展面源污染监测,分别计算入河负荷和净入河负荷,并采用微积分算法和平均浓度法分别估算监测期和非监测期的入河负荷,从而实现全周期负荷精准评估,并定量分析人为(可控)因素与自然(不可控)因素对面源污染排放造成的影响。针对2024年9月双台风首次同时登陆上海的汛期农田面源污染排放典型事件的监测评估结果表明,试验稻田当月总磷、磷酸盐、总氮、氨氮、硝酸盐氮、高锰酸盐指数的入河系数分别为0.225、0.093、1.719、0.597、0.775、4.916 kg·hm^(-2)·月-1。

液压缸缓冲结构的分析与计算

讨论了液压缸缓冲的应用意义和设计中存在的问题。概述了常用的各种缓冲装置的特点。以节流缓冲沟槽缓冲装置为对象，按最佳的等减速缓冲效果，推导出理想缓冲结构的数学模型，为缓冲结构的设计提供理论依据。在此基础上编写算法，利用计算机来辅助分析与计算常用的其它缓冲结构。

Application of pH control to a tubular flow reactor

Tubular flow reactors are mainly used in chemical industry and waste water discharged units. Control of output variables is very difficult because of the existence of high dead-time in these types of reactors. In the present work, sodium hydroxide and acetic acid solutions were sent to the tubular flow reactor. The aim was to control p H at 7 in the nonlinear region. The p H control of a tubular flow reactor with high time delay and a highly nonlinear behavior in p H neutralization reaction was investigated experimentally in the face of the various load and set point changes. Firstly, efficiency of conventional Proportional-Integral-Derivative(PID) algorithm in the experiments was tested. Then self-tuning PID(STPID) control system was applied by using the ARMAX model. The model parameters were calculated from input–output data by using PRBS signal as disturbance and Bierman algorithm. Lastly, the experimental fuzzy control of p H based on fuzzy model was achieved to compare the success of fuzzy approach with the performance of other control cases studied.

Multi-objective Optimization of Controller for Process with Reverse Response and Dead Time

Due to the difficulty of controlling the process with inverse response and dead time,a Multi-objective Optimization based on Genetic Algorithm (MOGA) method for tuning of proportional-integral-derivative (PID) controller is proposed. The settings of the controller are valued by two criteria,the error between output and reference signals and control moves. An appropriate set of Pareto optimal setting of the PID controller is founded by analyzing the results of Pareto optimal surfaces for balancing the two criteria. A high order process with inverse response and dead time is used to illustrate the results of the proposed method. And the efficiency and robustness of the tuning method are evident compared with methods in recent literature.

Computational methods in super-resolution microscopy

The broad applicability of super-resolution microscopy has been widely demonstrated in various areas and disciplines. The optimization and improvement of algorithms used in super-resolution microscopy are of great importance for achieving optimal quality of super-resolution imaging. In this review, we comprehensively discuss the computational methods in different types of super-resolution microscopy, including deconvolution microscopy, polarization-based super-resolution microscopy, structured illumination microscopy, image scanning microscopy, super-resolution optical fluctuation imaging microscopy, single-molecule localization microscopy, Bayesian super-resolution microscopy, stimulated emission depletion microscopy, and translation microscopy. The development of novel computational methods would greatly benefit super-resolution microscopy and lead to better resolution, improved accuracy, and faster image processing.

A convolution algorithm to calculate differential cross sections of the Ring effect in the Earth's atmosphere based on rotational Raman scattering

The Ring effect refers to the filling in of Fraunhofer lines, which is mainly attributed to the rotational Raman scattering of solar spectra by N2 and O2 molecules in the atmosphere. The Ring effect is one of the most significant factors affecting the accuracy of retrieving concentrations of atmospheric trace gases, such as NO2 and SO2, from satellite observations through differential optical absorption spectroscopy. First in this study, the solar spectrum measured by the Ozone Monitoring Instrument onboard NASA Aura is convolved with the rotational Raman cross section of the atmosphere, which is calculated from the rotational Raman cross sections of N2 and O2 molecules, and divided by the original solar spectrum. The slowly varying term is removed by fitting it with a cubic polynomial to obtain the differential Ring spectrum. The results agree well with the calculations using a radiative transfer model (R2=0.9663). Second, the differential Ring spectrum is computed using two fixed wavelengths of 410 nm and 488 nm, and the resulting differential Ring spectra are similar to that calculated with varying wavelengths and agree well with the calculation using the radiative transfer model (R2=0.9624 and 0.9639 respectively). The computation time using the fixed wavelength is about 0.128% of that using a varying wavelength. Finally, we found that the frequency spectrum of the Raman cross sections for the atmosphere, N2 molecules and O2 molecules are similar; thus, the Raman cross section of N2 or O2 molecules can be used to compute the approximate Ring effect for simplicity.