Analyzing electricity consumption via data mining

This paper proposes a model to analyze the massive data of electricity.Feature subset is determined by the correla-tion-based feature selection and the data-driven methods.The attribute season can be classified successfully through five classi-fiers using the selected feature subset,and the best model can be determined further.The effects on analyzing electricity consump-tion of the other three attributes,including months,businesses,and meters,can be estimated using the chosen model.The data used for the project is provided by Beijing Power Supply Bureau.We use WEKA as the machine learning tool.The models we built are promising for electricity scheduling and power theft detection.     

A Meta‐learning Framework for Bankruptcy Prediction

The implication of corporate bankruptcy prediction is important to financial institutions when making lending decisions. In related studies, many bankruptcy prediction models have been developed based on some machine‐learning techniques. This paper presents a meta‐learning framework, which is composed of two‐level classifiers for bankruptcy prediction. The first‐level multiple classifiers perform the data reduction task by filtering out unrepresentative training data. Then, the outputs of the first‐level classifiers are utilized to create the second‐level single (meta) classifier. The experiments are based on five related datasets and the results show that the proposed meta‐learning framework provides higher prediction accuracy rates and lower type I/II errors when compared with the stacked generalization classifier and other three widely developed baselines, such as neural networks, decision trees, and logistic regression. Copyright © 2011 John Wiley & Sons, Ltd.     

模糊控制在无功补偿中的应用

目的阐述模糊控制理论在无功补偿控制中的应用。方法系统控制策略基于模糊控制理论,以电压和无功功率的偏差为输入,经过模糊推理,以对电容器组的投入或者切除为输出。结果很好地解决了由于轻载产生投切震荡的问题。结论将模糊控制方法应用于无功补偿系统中,将专家经验与自动控制相结合,可提高补偿准确度和系统鲁棒性,从而可改善电网的供电质量。     

万家寨引黄连接段7号洞进口和出口梯形堰室内率定试验

对万家寨引黄连接段7号洞进口和出口梯形堰采用不同比例尺的模型进行了室内系统试验,利用最小二乘法和系列模型延伸法进行分析判别,最终推定实际尺寸超过规范规定的梯形量水堰的流量因数,对工程在实际运行量测中具有指导意义。     

手性三唑类化合物的QSRR研究

基于手性碳原子上取代基的次序规则定义了新型手性指数(Xj),将其引入电距矢量(Mf)建立手性电距矢量(c Mf).手性电距矢量与26种手性三唑类化合物在2种纤维素类手性固定相(Chiralcel OD和ChiralcelOJ)上的3类高效液相色谱(HPLC)容量因子(ND,RD,RJ)具有良好的相关性.通过最佳变量子集回归方法,建立了它们二元或三元的QSRR模型.ND,RD和RJ的复相关系数(R2)依次为0.868,0.992和0.925,相应逐一剔除法交叉验证系数(Q2)依次为0.789,0.982和0.863,表明这些模型具有良好的预测能力与稳健性.模型显示分子中-CH3,-CH2-,CH-,-NH-和-O-等基团间的相互作用是影响手性三唑类化合物容量因子的主要因素.     

A novel data embedding method for H.264 stereo video codec with joint prediction scheme

It is important to reduce data redundancy of stereo video in practical applications. In this paper,first,a data embedding method for stereo video(DEMSV) is investigated by embedding the encoding data into the reference frame to encode stereo video. It can use only one channel to transfer all the video data and the receiver can choose a monocular video decoder or stereo video decoder adaptively. Then,introducing the joint prediction scheme in the coding process of DEMSV,we propose a novel data embedding meth...     

各向异性外问题的并行Schwarz算法及其收敛性

对于无界区域各向异性常系数椭圆型偏微分方程,研究了一种并行Schwarz算法。在常数权因子下通过L ions的投影解释证明了其收敛性,在变权因子下改进了并行Schwarz算法,并分析了其收敛性。     

饱和烷烃偏心因子与拓扑指数的相关性研究

偏心因子ω是有机化合物一个很重要的热力学参数,常用于计算各种物性数据,如Riedel常数、势能常数等.本文根据分子结构的特点,计算了饱和烷烃的W指数、Ix指数、J指数及Xz指数,给出了不同拓扑指数与饱和烷烃偏心因子的相关性经验公式,结果显示其相关性皆优于文献[1]式.     

预则型动态交通网络配流模型

提出卫种预测型动态交通网络配流模型，利用最优控制理论和最优化原理推出了模型最优解存在的条件，并给出最优解的经济解释，体现模型体现了道路使用者对路树的预测依赖于先进的交通信息系统和决策者的理发预测的特点，它与实际情况更为接近。     

一阶微分方程积分因子的应用

给出了应用常微分方程积分因子理论对初等数学中一类重要公式进行证明的方法 .提供了一种新的解决中学数学问题的途径 .