黄河淤积粉土的两种复合稳定方案与性能对比

为探索路基工程中黄河淤积粉土的稳定技术和性能保障方案,针对德州齐河县境内的黄河淤积粉土,在乳化沥青复合稳定粉土(AE稳定土)的研究基础上,采用无机/有机复合材料制备出一种复合固化剂(FG固化剂),研究了AE稳定土和FG稳定土2种稳定方案下粉土的抗压强度性质、水稳定性和抗冻融能力;结合XRD、SEM表征技术,探讨了FG固化剂的稳定机理。研究认为,FG固化剂稳定土较AE稳定土有着更高的无侧限抗压强度、回弹模量和承载能力,水稳定性良好,在抗冻融能力上有着比AE稳定土更好的效果。XRD与SEM分析表明,FG固化剂提供了活性矿物质,其复合胶凝效应和填充增强保障了粉土的抗压强度,高分子物质起到粘结颗粒界面、填塞孔隙的作用,降低了内部孔隙率;两者造成土体的最大干密度变大;与AE稳定土的稳定机理不同。FG固化剂的使用为黄河粉土的稳定和工程应用提供了参考方法。     

A two-stage adaptive multi-fidelity surrogate model-assisted multi-objective genetic algorithm for computationally expensive problems

Surrogate model-assisted multi-objective genetic algorithms (MOGA) show great potential in solving engineering design problems since they can save computational cost by reducing the calls of expensive simulations. In this paper, a two-stage adaptive multi-fidelity surrogate (MFS) model-assisted MOGA (AMFS-MOGA) is developed to further relieve their computational burden. In the warm-up stage, a preliminary Pareto frontier is obtained relying only on the data from the low-fidelity (LF) model. In the second stage, an initial MFS model is constructed based on the data from both LF and high-fidelity (HF) models at the samples, which are selected from the preliminary Pareto set according to the crowding distance in the objective space. Then the fitness values of individuals are evaluated using the MFS model, which is adaptively updated according to two developed strategies, an individual-based updating strategy and a generation-based updating strategy. The former considers the prediction uncertainty from the MFS model, while the latter takes the discrete degree of the population into consideration. The effectiveness and merits of the proposed AMFS-MOGA approach are illustrated using three benchmark tests and the design optimization of a stiffened cylindrical shell. The comparisons between the proposed AMFS-MOGA approach and some existing approaches considering the quality of the obtained Pareto frontiers and computational efficiency are made. The results show that the proposed AMFS-MOGA method can obtain Pareto frontiers comparable to that obtained by the MOGA with HF model, while significantly reducing the number of evaluations of the expensive HF model.

     

GRU-based capsule network with an improved loss for personnel performance prediction

Applied Intelligence - Personnel performance is a key factor to maintain core competitive advantages. Thus, predicting personnel future performance is a significant research domain in human...     

浅谈云计算与物联网的融合发展

该文从云计算与物联网相融合的角度了介绍了云计算和物联网当前的状况,分析了两者协同发展的可行性。目前物联网的发展已经提升到了国家战略的高度,引起了各界特别是IT界的高度关注。但是物联网的发展离不开它的支持平台,特别是云计算的帮助。二者的发展是相互促进,相互渗透的。云计算作为一种计算模型已经为物联网的前身-无线传感网提供了大量的技术支持,使物联网的出现及发展成为可能。该文分析了云计算和物联网的关系、融合的模式,并指出二者的发展前景和面临的挑战。     

在CodeWarrior编译环境下运行μC／OS—Ⅲ

μC／OS-Ⅱ是面向8／16位及低端32位单片机应用的RTOS,而新近推出的μC／OS-Ⅲ则面向高性能32位单片机,如ARMCortex等。以Cortex—M4为内核的Kinetis系列单片机,不仅用于全国大学生飞思卡尔杯智能车竞赛,也用于诸多大学的嵌入式系统教学,官方提供的开发环境是CodeWarrior。本文介绍如何利用CodeWarrior开发环境,将μC／OS-Ⅲ在Kinetis单片机上运行起来,以便将μC／OS-Ⅲ引入教学、科研与应用。     

卫星宽带网络系统的研究与分析

本文主要介绍了卫星宽带网络系统的基本原理、技术特点、发展现状和应用趋势,通过研究和分析,证明了卫星宽带网络在信息通信领域具有广阔的应用前景。     

Birman–Wenzl–Murakami algebra, topological parameter and Berry phase

In this paper, a 3?×?3-matrix representation of Birman?CWenzl?CMurakami (BWM) algebra has been presented. Based on which, unitary matrices A(??, ?? ₁, ?? ₂) and B(??, ?? ₁, ?? ₂) are generated via Yang?CBaxterization approach. A Hamiltonian is constructed from the unitary B(??, ??) matrix. Then we study Berry phase of the Yang?CBaxter system, and obtain the relationship between topological parameter and Berry phase.     

基于DSP嵌入式技术的无刷直流电动机智能控制系统的研究

本文以TI公司的数字信号处理器TMS320F2812作为核心控制芯片,设计出了一款低成本具有足够功能的无刷直流电动机的调速控制系统实验平台。详细介绍了该控制系统的软硬件结构及控制策略。通过对该控制系统实验结果的分析,表明该系统的动态性能和稳态性能好,抗干扰能力强的特点,且在该实验平台上可进行一些先进控制算法的研究。     

课堂文化和课程思政在中学化学中的探索

随着教育体制、教育理念的不断改革,"立德树人"在教育事业中影响力越来越广泛,通过课堂文化、课程思政加强信念教育已经成为未来教育的发展方向.根据课堂文化、课程思政的优势特点,将其融入到高中化学教育当中.针对现阶段化学教育中存在的问题,在以核心素养为教育目标的前提下,以新教材为依托,将思想政治教育渗透进课堂,深入分析传统教学弊端,提出将课堂文化、课程思政融入课堂的教学理念、模式和方法.     

Design of the broadband microstrip array antenna for blast furnace surface monitoring

Aiming at the requirements of high-resolution imaging and high integration of the blast furnace radar,this paper presents a method for designing a wideband microstrip array antenna,which broadens the antenna bandwidth through the design of parasitic patches and air layers.By combining multi-input multi-output (MIMO) radar and synthetic aperture radar (SAR) imaging principles,a linear MIMO array is designed,and a near-field simulation imaging experiment is performed on the simulated feed line through the wave number domain imaging algorithm.Simulation results show that the gain of the main lobe of the antenna can reach 14.05 dBi,the reflection coefficient is less than -10 dB,the absolute bandwidth is 5.25 GHz,the operating frequency is 20.67~25.92 GHz,and the range resolution is increased to 3 cm compared with the existing blast furnace radar.The average error of the azimuth direction of the simulated material line imaging is 0.008 m,and the range direction is 0.0011 m.Compared with the traditional microstrip array antenna,this antenna effectively widens the bandwidth,and the range resolution is higher than that of the traditional blast furnace radar.It can accurately obtain the shape information on the simulated material line,and has an engineering application value for blast furnace surface monitoring.