联合时序结构和负熵的FECG盲提取算法

在提取胎儿心电信号时,利用时序结构的盲源提取算法对胎心率误差估计敏感;利用负熵的盲源提取算法存在提取出的信号具有不确定性问题.为克服这两种算法的缺点,利用时序结构和负熵构造了联合代价函数,利用梯度算法对该代价函数求偏导,提出了一种新的胎儿心电提取算法.该算法能确保每次提取出来的信号都是胎儿心电信号,并且在胎心率估计存在较大误差和胎心率变化的情况下,也能正常工作.计算机仿真和实际胎儿心电提取实验验证了该算法在提取胎儿心电信号时的稳定性和确定性.     

一类两阶非齐次复微分方程解的增长性

研究了一类线性非齐次微分方程f″+e-zf’-e-zf=H(z)解的增长性问题,其中H(z)为级小于1的整函数,得到这类方程的任意非零解都具有无穷增长级.     

Distributed generation: An empirical analysis of primary motivators

What was once an industry dominated by centralized fossil-fuel power plants, the electricity industry in the United States is now evolving into a more decentralized and deregulated entity. While the future scope and scale of the industry is not yet apparent, recent trends indicate that distributed generation electricity applications may play an important role in this transformation. This paper examines which types of utilities are more likely to adopt distributed generation systems and, additionally, which factors motivate decisions of adoption and system capacity size. Results of a standard two-part model reveal that private utilities are significantly more inclined to adopt distributed generation than cooperatives and other types of public utilities. We also find evidence that interconnection standards and renewable portfolio standards effectively encourage consumer-owned distributed generation, while market forces associated with greater market competition encourage utility-owned distributed generation. Net metering programs are also found to have a significant marginal effect on distributed generation adoption and deployment.     

有恒压设施的配水泵站调流方式探讨——青田水厂配水泵站调流方式分析、效率计算和改造

对系统特征曲线进行了分析,计算了常用调流方式在青田水厂配水系统中的性能和综合效率,以此为基础,选出了高效合理的方式作为改造方案．     

Decarbonization of the U.S. electricity sector: Are state energy policy portfolios the solution?

State governments have taken the lead on U.S. energy and climate policy. It is not yet clear, however, whether state energy policy portfolios can generate results in a similar magnitude or manner to their presumed carbon mitigation potential. This article seeks to address this lack of policy evidence and contribute empirical insights on the carbon mitigation effects of state energy portfolios within the U.S. electricity sector. Using a dynamic, long-term electricity dispatch model with U.S. power plant, utility, and transmission and distribution data between 2010 and 2030, this analysis builds a series of state-level policy portfolio scenarios and performs a comparative scenario analysis. Results reveal that state policy portfolios have modest to minimal carbon mitigation effects in the long run if surrounding states do not adopt similar portfolios as well. The difference in decarbonization potential between isolated state policies and larger, more coordinated policy efforts is due in large part to carbon leakage, which is the export of carbon intensive fossil fuel-based electricity across state lines. Results also confirm that a carbon price of $50/metric ton CO₂e can generate substantial carbon savings. Although both policy options – an energy policy portfolio or a carbon price – are effective at reducing carbon emissions in the present analysis, neither is as effective alone as when the two strategies are combined.     

电弧炉底侧吹工艺技术与应用效果

通过水模试验对电弧炉冶炼过程中熔池内钢水的流动状态进行了分析研究,开发了电弧炉底侧吹工艺技术,成功解决了电弧炉高铁水比冶炼的技术难题,取得了显著效果。     

An ontology framework for developing platform-independent knowledge-based engineering systems in the aerospace industry

This paper presents the development of a novel knowledge-based engineering (KBE) framework for implementing platform-independent knowledge-enabled product design systems within the aerospace industry. The aim of the KBE framework is to strengthen the structure, reuse and portability of knowledge consumed within KBE systems in view of supporting the cost-effective and long-term preservation of knowledge within such systems. The proposed KBE framework uses an ontology-based approach for semantic knowledge management and adopts a model-driven architecture style from the software engineering discipline. Its phases are mainly (1) Capture knowledge required for KBE system; (2) Ontology model construct of KBE system; (3) Platform-independent model (PIM) technology selection and implementation and (4) Integration of PIM KBE knowledge with computer-aided design system. A rigorous methodology is employed which is comprised of five qualitative phases namely, requirement analysis for the KBE framework, identifying software and ontological engineering elements, integration of both elements, proof of concept prototype demonstrator and finally experts validation. A case study investigating four primitive three-dimensional geometry shapes is used to quantify the applicability of the KBE framework in the aerospace industry. Additionally, experts within the aerospace and software engineering sector validated the strengths/benefits and limitations of the KBE framework. The major benefits of the developed approach are in the reduction of man-hours required for developing KBE systems within the aerospace industry and the maintainability and abstraction of the knowledge required for developing KBE systems. This approach strengthens knowledge reuse and eliminates platform-specific approaches to developing KBE systems ensuring the preservation of KBE knowledge for the long term.     

State renewable energy electricity policies: An empirical evaluation of effectiveness

Over the past decade, state governments have emerged as US energy policy leaders. Across the country, states are adopting policy instruments aimed at carbon mitigation and renewable energy deployment. One of the most prevalent and innovative policy instruments is a renewable portfolio standard (RPS), which seeks to increase the share of renewable energy electrification in the electricity market. This analysis evaluates the effectiveness of state energy programs with an empirical investigation of the linkage between state RPS policy implementation and the percentage of renewable energy electricity generation across states. We use a variant of a standard fixed effects model, referred to as a fixed effects vector decomposition, with state-level data from 1998 to 2006. Results indicate that RPS implementation is not a significant predictor of the percentage of renewable energy generation out of the total generation mix, yet for each additional year that a state has an RPS policy, they are found to increase the total amount of renewable energy generation. These findings reveal a potentially significant shortcoming of RPS policies. Political institutions, natural resource endowments, deregulation, gross state product per capita, electricity use per person, electricity price, and the presence of regional RPS policies are also found to be significantly related to renewable energy deployment.     

矿山土地复垦复合专家系统模型的研究

将专家系统与人工神经网络相结合提出了复合专家系统的概念，在此基础上首次智能技术引入矿山 土地复垦工程中，提出了相应的矿山土地复垦复合专家系统模型。