沉降及外部荷载作用下益阳管廊防护效果分析

地下管廊常因填土沉降和外部荷载等原因造成管廊结构崩溃、接口错位、脱节、管身裂缝、破损等结构损伤。针对填土沉降和外部荷载作用下管廊出现的问题,结合益阳管廊项目,利用FLAC3D有限差分方法模拟土工布对填土沉降的防护以及土工格栅的构造因素对外部荷载作用下的管廊防护进行研究,模拟结果表明:益阳管廊底部铺设土工布可以有效控制填土沉降;管廊上部铺设3层,宽度为12 m的土工格栅有效减轻、分散外部荷载对管廊的作用力。     

基于深度负相关学习的室内WiFi指纹定位技术

本文提出了一种新的基于深度负相关学习的WiFi室内定位模型.通过负相关学习约束,多个学习器能学习到不同的表征特性,从而有效降低模型的过拟合,并极大地提升其泛化能力.同时该模型将负相关学习方法应用到去噪自编码器和回归预测器上,并利用深度学习方法使其很好地适应随环境和时间变化的RSSI信号,提高了在长时间间隔内的定位性能.利用负相关学习方法使定位模型在初始时候的平均定位误差从1.57 m下降为0.77 m,60 d平均定位误差也仅为0.89 m,误差仅仅只增加0.12 m,验证了负相关学习能够削弱环境变化对定位的影响.     

基于生活日志的情绪识别

抑郁症日益成为影响现代人生活幸福程度的重要因素。实时有效地识别用户情绪的方法对于抑郁症潜在患者的发现和治疗十分有意义。用户情绪的状态及变化会体现在其生活日志数据上。该文从使用可穿戴设备收集的用户生活日志数据出发,对数据进行了特征方面的分析;进一步地,使用以回归树为弱学习器的集成学习模型,设计了使用全部数据、仅用户自身数据以及仅他人数据进行训练的三组实验构成的对比实验框架,以比较使用不同用户数据对识别结果的影响。实验结果表明,基于生活日志数据的集成学习模型可以有效地识别用户的情绪状态。同时,基于实验结果提出了用户认知不一致的猜想,对于心理学上的抑郁分析也有一定的启发作用。该工作是目前所知第一个利用用户生活日志信息进行情绪识别以及抑郁症患者分析的工作,为后续进一步扩大实验规模和改良实验设计提供了思路。     

平直节理黏结颗粒材料宏细观参数关系及细观参数的标定

为了分析平直节理黏结颗粒材料宏细观参数关系以及进行细观参数的标定,以单轴压缩、直接拉伸和双轴压缩数值试验作为宏观参数测试方法,对平直节理接触模型细观参数进行正交设计,采用多因素方差分析和回归分析研究宏细观参数之间的关系,在此基础上,建立了细观参数的标定方法。以灰岩的室内试验为基础,对其细观参数进行标定,模拟结果与试验结果相接近,验证了方法的有效性。     

Theoretical study on composition-dependent properties of ZnO·nAl2O3 spinels. Part II: Mechanical and thermophysical

Knowledge on the mechanical and thermophysical properties of ZnO·nAl₂O₃ is essential for practical applications. Based on the first-principles calculations and the bond valence method, the disordered spinel-type structure of ZnO·nAl₂O₃ (n = 1–4) was constructed to investigate the composition-dependent mechanical and thermophysical properties. The effects of cation substitution on the hardness, elastic modulus, thermal expansion, and thermal conductivity were revealed from the insights into the chemical bonds. At a higher n, the tetrahedral bond is stronger, manifested as its higher hardness and bulk modulus as well as smaller thermal expansion coefficient. Meanwhile, the octahedral bond is weaker, leading to the lower hardness and bulk modulus, along with the larger expansion coefficient. In consequence, the hardness and elastic moduli of ZnO·nAl₂O₃ are improved moderately while the expansion coefficient is decreased with the rise of n. Due to the different vibration characteristics of Zn^IV and Al^IV, the cation disorder in the 8a site provides the primary source of phonon scattering, resulting in the dramatic reduction of thermal conductivity as n increases. The understanding offers guidance on the application-oriented design of new oxide spinels.     

质子交换膜燃料电池建模研究综述

在分析质子交换膜燃料电池(PEMFC)运行机制的基础上,对PEMFC的建模研究进行综述.主要介绍了PEMFC的系统模型,并总结电压、阴极流量、阳极流量、膜水合、压缩机、供应管腔、回流管腔、散热器和增湿器九个子系统的国内外建模方法、研究成果及研究进展,并对各模型的适用条件及优势进行阐述,同时也对PEMFC建模的发展方向进行展望.所进行的研究综述对PEMFC系统模型的模型建立、开发研究及后续仿真分析有一定的理论价值与指导意义.     

The research on channel estimation and signal-noise ratio estimation based on minimum error entropy kalman filter for single carrier frequency domain equalization system

In this paper, the channel estimation and signal-to-noise ratio (SNR) estimation technique of single-carrier frequency domain equalization (SC-FDE) system under low SNR in aeronautical multipath channel are studied, a SNR estimation algorithm which is easy to implement in engineering and an improved LS channel estimation algorithm based on Kalman filter using minimum error entropy (MEE-KF) are proposed. This paper first introduces the SC-FDE system and introduces the principle of MEE-KF, and then, the channel estimation flow based on MEE-KF is obtained by combining it with the traditional LS channel estimation algorithm, which makes the estimation results perform better. Simulation results show that after getting more accurate noise variance, the channel estimation results can better follow the changes of the channel after MEE-KF processing, so as to resist the doppler frequency offset effect and make the channel estimation results more accurate, that is the channel response results of the data part can be closer to the real situation, so that the communication performance of SC-FDE system has also been greatly improved.     

A Phase Engineering Strategy of Perovskite-Type ZnSnO3:Nd for Boosting the Sonodynamic Therapy Performance

The sensitization performance of sonosensitizers plays a key role in the sonodynamic therapy (SDT) effect. Herein, ZnSnO₃:Nd nanoparticles with R3c phase/amorphous heterogeneous structure are developed by phase engineering strategy and applied as an ideal sonosensitizer. In the crystalline perovskite-type ZnSnO₃:Nd, the substitution of the Zn²⁺ with Nd³⁺ causes the O 2p non-bonded state to move toward the Fermi level, which optimizes the band structure for ultrasound sensitization by reducing bandgap. Meanwhile, the unequal charge substitution can also form electron traps and oxygen vacancies to shorten the electron migration distance, which accelerates the electron–hole separation and inhibits carrier recombination, thus improving the acoustic sensitivity. Moreover, the dangling bonds exposed on the surface of amorphous ZnSnO₃:Nd provide more active sites, and the localized states of the amorphous phase may also promote carrier separation, resulting in synergistic SDT effect. In particular, the Zn²⁺ released from ZnSnO₃:Nd in the acidic tumor microenvironment (TME) reduces the adenosine triphosphate production by inhibiting the electron transport chain , which promotes the tumor cell apoptosis through destroying the redox balance of TME. Combining the inherent second near infrared and computed tomography imaging capabilities, this ZnSnO₃:Nd nanoplatform shows a promising perspective in clinic SDT field.     

基于区块链的电力交易模型及博弈定价方法

为解决传统能源中心化交易模式缺少灵活性、透明性和可监督性等问题,满足新型电力系统中电网各主体间电力交易市场化、定价灵活化等新要求,提出一种基于区块链的电力交易模型及博弈定价方法。该电力交易模型具有分布式、去中心化、不可篡改和加密安全等优势。首先,建立基于区块链的电力交易模型,协调发、供、用等主体间的生产和消费行为,形成统一的市场机制;其次,提出了基于博弈的多时间尺度电力交易竞价机制,利用蚁群优化(ACO)算法求解可得每小时的最佳竞拍价格。最后,通过仿真验证了交易模型及博弈定价方法,在激励政策下各交易方收益最优化。结果表明,交易模型及定价方法在新能源参与交易背景下能有效地平衡市场各主体的效益;基于区块链的智能合约可实现电力交易过程的智能化、透明化和可追溯性。