关于短期及超短期风电功率预测的评述

讨论风电功率预测及其误差对电力系统的影响,从信息流观点解读风电功率预测过程,归纳影响风电功率预测精度的因素,并对风电功率预测的研究现状加以归类与梳理。在此基础上,讨论对风电功率预测结果评价指标的要求,提出误差评估指标应该反映整个时间窗口内的预报质量,并展望风电功率预测可能的突破。     

组合规则启发式算法在模具加工作业调度中的应用研究

由于现行的优化算法在解决模具车间调度问题上存在局限性,目前大部分模具车间由人工编制车间作业计划,导致生产效率较低、物料供应不能同步化等问题.为此,介绍了采用基于组合规则的启发式算法,选择加工时间最短和最小等待时间等规则,解决了现行的优化调度算法在车间调度问题中所遇到的难点.经实例验证获得了较为理想的结果.     

基于LIB的有色箱覆盖问题

提出了如下定义的受位置约束的有色箱覆盖问题,即在有色物品的箱覆盖过程中,要求重(长)的物品置于轻(短)的物品下方.该问题是一个新的组合优化问题,来源于多处理器任务调度.给出一个求解该问题的局内近似算法KC-LIBFF算法,分析其最坏情况渐进性能比为0,并给出了相应的实验结果;进一步对求解该问题的局内算法性能比的下界进行了讨论.     

Impacts of additive uniaxial strain on hole mobility in bulk Si and strained-Si p-MOSFETs

Hole mobility changes under uniaxial and combinational stress in different directions are characterized and analyzed by applying additive mechanical uniaxial stress to bulk Si and SiGe-virtual-substrate-induced strained-Si (s-Si) p-MOSFETs (metal-oxide-semiconductor field-effect transistors) along <110> and <100> channel directions. In bulk Si, a mobility enhancement peak is found under uniaxial compressive strain in the low vertical field. The combination of (100) direction uniaxial tensile strain and substrate-induced biaxial tensile strain provides a higher mobility relative to the (110) direction, opposite to the situation in bulk Si. But the combinational strain experiences a gain loss at high field, which means that uniaxial compressive strain may still be a better choice. The mobility enhancement of SiGe-induced strained p-MOSFETs along the (110) direction under additive uniaxial tension is explained by the competition between biaxial and shear stress.     

Genetic Therapy for Intervertebral Disc Degeneration

Intervertebral disc (IVD) degeneration can cause chronic lower back pain (LBP), leading to disability. Despite significant advances in the treatment of discogenic LBP, the limitations of current treatments have sparked interest in biological approaches, including growth factor and stem cell injection, as new treatment options for patients with chronic LBP due to IVD degeneration (IVDD). Gene therapy represents exciting new possibilities for IVDD treatment, but treatment is still in its infancy. Literature searches were conducted using PubMed and Google Scholar to provide an overview of the principles and current state of gene therapy for IVDD. Gene transfer to degenerated disc cells in vitro and in animal models is reviewed. In addition, this review describes the use of gene silencing by RNA interference (RNAi) and gene editing by the clustered regularly interspaced short palindromic repeats (CRISPR) system, as well as the mammalian target of rapamycin (mTOR) signaling in vitro and in animal models. Significant technological advances in recent years have opened the door to a new generation of intradiscal gene therapy for the treatment of chronic discogenic LBP.     

基于VW-IGRBF神经网络的出水BOD软测量

针对污水处理过程具有复杂非线性特性以及出水BOD难以精确测量的问题,文中提出一种基于变宽度的逆平方根和高斯函数线性组合的RBF神经网络软测量方法。神经网络的激活函数由逆平方根函数和高斯函数线性组合,弥补了单一激活函数在某些区间饱和的问题,提高了隐层激活函数的表达能力和自适应能力。由于激活函数的宽度对模型的泛化性能有较大的影响,因此引入基于核密度的变宽度策略可以有效提高网络泛化能力。文中采用改进LM算法实现了神经网络参数的在线学习。基于污水处理过程实际运行数据的仿真实验表明,所提方法对于出水BOD具有较高的预测精度和良好的自适应能力。     

机载PLD大规模组合逻辑反求装置的研制

为了解决目前无法以人工手段求解航空电子产品中可编程逻辑器件(PLD)大规模输出与输入的组合逻辑关系、影响航空产品维修这一问题,以FPGA为控制器开发用于遍历输入并读取相应输出的可操作不同机载PLD器件的硬件,并运用广义的动态规划方法设计逻辑反求算法,通过排除无关数据、查找顶层逻辑树、进行递归层层简化合并,从大数据中提取逻辑范式,研制了一款可以自动求解机载(PLD)大规模组合逻辑关系的反求装置。实验结果表明,本装置操作简单灵活,可以针对多种机载PLD器件,在较短的时间内准确求解大规模组合逻辑关系,所做研究对航空电子产品的电路原理分析与对电路板的深修有重要指导意义。     

A probabilistic solution discovery algorithm for solving 0-1 knapsack problem

Abstract

In this paper, a probabilistic solution discovery algorithm is developed to solve the NP-hard 0-1 knapsack problem. The proposed method consists of three steps: strategy development, strategy analysis, and solution discovery. In the first step, Monte Carlo simulation is used to generate the strategies based on a vector defining the probability that each item is included in the knapsack. In the second step, we analyse the capacity imposed by each strategy previously generated and penalise the objective value for those strategies exceeding the capacity of the knapsack. At the last step, a subset of ordered strategies is used to update the vector that defines the probability of choosing each item. Two numerical examples are used to demonstrate the efficiency and the performance of the proposed method.     

基于单机组试验选优的并联泵站群组合 优化运行算法研究

以并联泵站群日提水耗电费用最少为目标,构建包含各时段泵站运行数、站内水泵开机数、水泵叶片安放角及机组转速4个决策变量的并联泵站群变角变速组合日优化运行数学模型,提出基于二级子系统试验选优的大系统二级分解-动态规划聚合法。通过将原模型进行二次分解,获得以单机组日提水耗电费用最小为目标,各时段水泵叶片安放角及机组转速为决策变量的单机组变角变速组合日优化运行数学模型,采用大系统试验选优法求解。进而通过一系列二级子系统不同提水要求下的优化计算,获得单机组日提水量与提水费用的一一对应关系,原模型即可转化为以并联泵站群日提水费用最少为目标、各机组日提水量为决策变量的聚合模型,并采用动态规划方法求解。该方法可进一步完善组合工况调节方式下并联泵站群优化运行理论,较由站内单工况优化运行下获得的并联泵站群优化运行效益更为显著。以典型并联泵站群为计算实例,优化结果表明:各日均扬程下满负荷、80%负荷、60%负荷优化运行单位费用较定角恒速运行分别平均节约8.41%、23.07%、32.79%。