基于克隆粒子群优化算法的多用户检测器

针对经典离散粒子群优化算法收敛性差的缺点,设计了基于新的运动方程的离散粒子群优化算法。为了解决CDMA系统多用户检测这个NP完全问题,基于免疫克隆选择理论和新的粒子群优化算法,提出了克隆粒子群优化算法,其中,由神经元构成的粒子可以进行随机搜索和经验学习。仿真结果表明,在异步和同步CDMA系统上,该检测器的误码率性能都优于传统方法和其他一些多用户检测器,达到最优检测。     

一种SSAE+BPNN的变工况飞灰含碳量软测量方法

火电机组变工况运行使数据呈现多模态特征,导致基于浅层网络结构的回归软测量模型的预测精度下降。研究一种改进的BP神经网络(back propagation neural network,BPNN)软测量方法：首先利用堆叠稀疏自编码器(stacked sparse autoencoder,SSAE)强大的深度学习能力提取原始数据特征,然后再利用BPNN对提取特征进行回归分析。经实验验证,SSAE+BPNN软测量方法的均方误差为0.135 8×10^–3,平方相关系数为0.983 2,其预测精度和泛化能力显著优于BPNN。将其应用于某台灵活调峰的超超临界660 MW发电机组飞灰含碳量软测量中,预测结果的平均相对误差为0.91%,总体相对误差控制在±5%以内,具有良好的工程应用价值。     

具有非惯量负载转矩补偿功能的伺服永磁同步电机控制方法

通过电机运动学方程建立以负载惯量、黏性阻尼系数、负载重力力矩和负载初始位置角度为需辨识参数的拟合模型函数式,通过基于该模型函数的非线性回归方法拟合得到这四个参数,从而得到非惯量的负载转矩,使其前馈补偿经典电机PI控制方法中的电流环,实现对时变负载转矩的补偿。仿真结果验证了该方法能使速度响应较快跟踪输入的速度命令,避免较大速度误差的出现。     

新能源分比例渗透下基于博弈的多主体效益综合评估方法

“双碳”目标下新能源大规模发展,新能源的发展给各能源主体带来了影响,如何量化评估新能源渗透给能源主体带来的影响成为研究重点。首先,基于改进的K-means算法构建基于典型场景集的新能源出力模型;然后,从源-网-荷-储出发,构建火力发电商、电网、用户、储能运营商的决策优化模型;其次,构建考虑新能源渗透的多能源主体效益评估模型;最后,进行算例分析,算例结果验证了模型的有效性。     

High Rate,Long Lifespan LiV3O8 Nanorods as a Cathode Material for Lithium‐Ion Batteries

LiV₃O₈ nanorods with controlled size are successfully synthesized using a nonionic triblock surfactant Pluronic‐F127 as the structure directing agent. X‐ray diffraction, scanning electron microscopy, and transmission electron microscopy techniques are used to characterize the samples. It is observed that the nanorods with a length of 4–8 µm and diameter of 0.5–1.0 µm distribute uniformly. The resultant LiV₃O₈ nanorods show much better performance as cathode materials in lithium‐ion batteries than normal LiV₃O₈ nanoparticles, which is associated with the their unique micro–nano‐like structure that can not only facilitate fast lithium ion transport, but also withstand erosion from electrolytes. The high discharge capacity (292.0 mAh g^?1 at 100 mA g^?1), high rate capability (138.4 mAh g^?1 at 6.4 A g^?1), and long lifespan (capacity retention of 80.5% after 500 cycles) suggest the potential use of LiV₃O₈ nanorods as alternative cathode materials for high‐power and long‐life lithium ion batteries. In particular, the synthetic strategy may open new routes toward the facile fabrication of nanostructured vanadium‐based compounds for energy storage applications.     

A pH-switched mesoporous nanoreactor for synergetic therapy

Zinc oxide nanoparticles (ZnO NPs),as a new type of pH-sensitive drug carrier,have received much attention.ZnO NPs are stable at physiological pH,but can dissolve quickly in the acidic tumor environment (pH ＜ 6) to generate cytotoxic zinc ions and reactive oxygen species (ROS).However,the protein corona usually causes the non-specific degradation of ZnO NPs,which has limited their application considerably.Herein,a new type of pH-sensitive nanoreactor (ZnO-DOX@F-mSiO2-FA),aimed at reducing the non-specific degradation of ZnO NPs,is presented.In the acidic tumor environment (pH ＜ 6),it can release cytotoxic zinc ions,ROS,and anticancer drugs to kill cancer cells effectively.In addition,the fluorescence emitted from fluorescein isothiocyanate (FITC)-labeled mesoporous silica (F-mSiO2) and doxorubicin (DOX) can be used to monitor the release behavior of the anticancer drug.This report provides a new method to avoid the non-specific degradation of ZnO NPs,resulting in synergetic therapy by taking advantage of ZnO NPs-induced oxidative stress and targeted drug release.     

Formation and obstacle avoidance control for multiagent systems

This paper considers the problems of formation and obstacle avoidance for multiagent systems.The objective is to design a term of agents that can reach a desired formation while avoiding collision with obstacles.To reduce the amount of information interaction between agents and target,we adopt the leader-follower formation strategy.By using the receding horizon control (RHC),an optimal problem is formulated in terms of cost minimization under constraints.Information on obstacles is incorporated online as sensed in a limited sensing range.The communication requirements between agents are that the followers should obtain the previous optimal control trajectory of the leader to each update time.The stability is guaranteed by adding a terminal-state penalty to the cost function and a terminal-state region to optimal problem.Finally,simulation studies are provided to verify the effectiveness of the proposed approach.     

改进的单调速率调度算法

实时系统中调度算法起着重要的作用.单调速率调度算法(rate monotonic algorithm,RM)是一种被 广泛使用的调度算法,并且已被证明是一种最佳的静态优先级算法.传统的RM算法忽略上下文切换需要消耗的时间,针对此问题,提出了一种延迟抢占的改进方法.该方法考虑了上下文切换消耗时间对调度算法的影响,可以减少...     

Modelling water dynamics with DNDC and DAISY in a soil of the North China Plain: A comparative study

The performance of the DNDC and Daisy model to simulate the water dynamics in a floodplain soil of the North China Plain was tested and compared. While the DNDC model uses a simple cascade approach, the Daisy model applies the physically based Richard's equation for simulating water movement in soil. For model testing a three years record of the soil water content from the Dong Bei Wang experimental station near Beijing was used. There, the effect of nitrogen fertilization, irrigation and straw removal on soil water and nitrogen dynamics was investigated in a three factorial field experiment applying a split-split-plot design with 4 replications. The dataset of one treatment was used for model testing and calibration. Two other independent datasets from further treatments were employed for validating the models. For both models, the simulation results were not satisfying using default parameters. After parameter optimisation and the use of site-specific van Genuchten parameters, however, the Daisy model performed well. But, for the DNDC model, parameter optimisation failed to improve the simulation result. Owing to the fact that many biological processes such as plant growth, nitrification or denitrification depend strongly on the soil water content, our findings bring us to the conclusion that the site-specific suitability of the DNDC model for simulating the soil water dynamics should be tested before further simulation of other processes.     

深圳市房地产信息系统框架研究

从深圳市房地产管理信息化建设的现状出发,提出建立全市基本楼盘表数据库和房屋基础空间数据库,并以此为基础建立空间数据与业务数据统一管理的三层架构的数据库。利用GIS、MIS、OA、WFS(工作流)等技术,实现房产测绘管理、房地产市场交易、房产产权登记、物业管理、租赁管理以及政策性住房管理等跨部门业务集成统一的房地产信息化平台,构建协同办公体系,促进相关业务之间信息畅通,形成房产资源信息共建、共享体系。