2010 award winners.

This issue announces the 2010 award winners from the American Psychological Association. In accordance with established custom, the APA bestows annual awards in recognition of outstanding contributions by psychologists across an array of domains. The awards laud distinguished contributions to the advancement of science, to applications of psychological knowledge to clinical and social issues, to education and training, and to work devoted to international cooperation and humanitarian ideals. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

电力市场下系统边际价格混合预测模型的新研究

电力市场中,价格作为各市场主体运营工作的重要参考信息,一直得到广泛的重视和研究.但是,电价影响因素之间复杂的相互作用增加了电价预测建模的难度.针对该问题,该文提出了一种基于独立分量分析-支持向量机的系统边际价格预测混合模型.首先,该模型基于影响因素的高阶统计信息,通过构造混合优化变换函数,建立自适应的独立分量分析迭代算法,并提出基于峭度的去冗余新方法,实现了电价影响因素的特征提取,挖掘出更具表征能力的电价有效影响因素集.然后,将该样本集用于回归支持向量机的训练,建立了独立分量分析与支持向量机相结合的电价预测模型.该模型充分发挥独立分量分析的特征提取优势,增强了支持向量机模型输入样本的表征能力,使电价预测模型更加准确.美国加州现货电能量市场的实例数据验证了该文所建模型的有效性.     

基于HHT变换的电机故障信号频率分析

提出了将HHT变换(Hilbert-HuangTransform,简称HHT)中边际谱应用于电机故障信号频率跟踪研究的新方法。采用HHT将故障信号分解成若干个平稳的IMF(Intrinsic Mode Func-tion)分量,求出每1个IMF分量的瞬时幅值和瞬时频率。同时,指出了边际谱与Fourier频谱之间本质区别。利用边际谱的线性性质说明了边际谱的谱值表示信号中某一频率在各个时刻的幅值之和。最后通过实例验证了Hibert-Huang变换在电机故障信号中频率分析中的应用。     

天然海相中间沉积土性质研究

天然沉积物中存在主要由粉质土或粉细砂土含黏性土构成的中间土．通过系统的室内和现场试验，明确了天然海相黏性土和天然海相中间土之间性质的不同．天然中间土天然含水量与液限之比几乎与软质天然海相黏土相似，但是前者相对后者的灵敏度和现场强度更高．粒度分布对锥尖阻力有显著的影响．由于高灵敏度和相对大的渗透性，试样的扰动更加显著地影响了天然海相中间土的力学参数．无侧限抗压强度试验，显著低估了天然海相中间土的强度，而简易三轴固结再压缩剪切试验相对无侧限抗压强度qo试验有显著的改善。     

并联负载对公共联结点的无功电流贡献的确定

对接于公共联结点(PCC)的并联负载，如果对各负载只按其各自消耗的无功电流进行补偿或收费而不考虑负载之间的相互补偿作用是不合理的。该文提出了一个合理的确定各负载对PCC无功功率的贡献的方法：如果某一负载的无功电流在PCC提供的无功电流上的投影为正，则这一负载对PCC无功电流的贡献与其在PCC无功电流上的投影大小成正比；如果投影为负，则这一负载对PCC无功电流没有贡献，其无功电流只在负载间流动。各负载按无功电流贡献确定对总无功费用分担的比例。算例结果表明：文中提出的方法是经济合理的。它不仅适用于传统的正弦电路，而且适用于非正弦及不对称电路，对无功功率补偿、管理和收费具有实用意义。     

GIS-Based Analysis of Marginal Price Variation with an Application in the Identification of Candidate Ethanol Conversion Plant Locations

Facility location decisions require large investments of capital and represent long-term commitments for businesses. For firms that are highly dependent on access to raw materials, plant location has a major impact on direct material costs and, hence, on total product costs, pricing, and profitability. In the procurement of bulky, low-value raw materials, the cost of transportation represents a large portion of the final delivered cost. Depending on the commodity, the price paid is often a function of the maximum delivered cost (marginal price) of attaining a target quantity at a particular location. Such costs differ considerably from one candidate location to another if there is significant spatial variation in the quantities of the raw materials and the costs to produce them. In addition, the quality of a transportation network can play a role in the relative marginal prices among candidate locations. An adequate assessment of marginal price is essential for identifying promising areas for plant location. In this paper, we describe a methodology for generating marginal price surfaces when the number of potential supply points and the number of candidate plant locations are both very large. We present a GIS-based application of the methodology for the identification of promising locations for switchgrass-to-ethanol conversion plants.     

机组发电成本曲线的相关研究

在当前已提出的电力市场定价方法中 ,一般都以机组在某一时段内的平均发电成本作为竞价参数 ,它只是对边际成本定价的一种近似。为了较好地接近实际情况采用了 U型边际成本曲线进行分析。同时考虑到电力市场的特殊性 ,将电网约束条件引入价格模型 ,综合各机组的可供负荷情况 ,得出求解市场价格的计算表达式。     

Mechanism for proof-of-reputation consensus for blockchain validator nodes

A mechanism for proof-of-reputation consensus for blockchain validator nodes is proposed to deal with existing blockchain consensus mechanism's lack of evaluation of validator node's reputation and the inability to effectively prevent Byzantine behaviors. First, an interactive indicator is designed for validator nodes to represent their contribution in the blockchain network, which will be used as the reputation benchmark of validator nodes. Second, another reliability indicator is designed for validator nodes from the aspects of online time and the number of valid blocks, which will be used as the weight of the reputation improvement of validator nodes. Finally, the reputation of validator nodes of the current round is comprehensively calculated, and a set of producing validators of the current round is selected based on the reputation ranking. Experimental results show that the proof of reputation consensus mechanism has certain advantages in dealing with malicious and lazy behaviors, and that it can also reduce the impact of capital and energy consumption on the blockchain consensus mechanism while ensuring the validity of the credit evaluation.     

企业效益影响因素和获利能力的分析评价方法研究

阐述了影响企业效益因素重要程度的 D 值分析法.对企业获利能力建立了多元线性回归分析模型,尝试性地作了评价方法的阐述.