供电企业风险指标体系及多级风险评估模型

市场环境下供电企业面临着各种各样的风险,风险需要进行量化分析,以便在此基础上进行有效的风险规避,这方面的研究工作在我国刚刚开始。本文针对供电企业的各种风险源,建立了一套风险分析指标体系。在此基础上,利用层次分析法与灰色理论构造了多级评估模型,以实现对供电企业各种风险的综合评价。通过算例分析,表明该方法对供电企业的风险评价具有较好的适用性。     

昼光模拟器的研制

论述了氙灯型昼光模拟器的设计思想;理论模型;技术指标;应用效果等。     

两种体育课程教学模式对BMI指数异常学生的实验研究

选用不同的体育课程教学模式,对BMI指数异常学生的干预是不尽相同的。其显著性也有所区别。本文旨在引导学生树立正确的健康观,对将来走向社会有着积极的意义。     

基于目标检测的SAR图像变化检测方法

SAR图像变化检测有着广阔的应用前景,但目前的方法普遍以精确的配准为前提,使其适用范围受到限制。针对人造目标在SAR图像上的特点,提出了一种基于目标检测的SAR图像变化检测方法。通过图像中的人造目标之间相对位置关系的相似程度确定图像的变化情况,以此来降低对图像配准精度的要求。实验表明该方法在很宽的配准精度范围内都可获得较满意的结果。     

The Effect of Formulation on Radioiodide Thyroid Uptake in the Hyperthyroid Cat

This investigation was designed to compare in vitro dissolution profiles from sodium iodide capsules with radioiodide thyroid uptake in hyperthyroid cats using sodium iodide capsules prepared with a formulation exhibiting a complete release of radioiodide (I-123) in vitro and a formulation with an incomplete release of radioiodide. In vitro dissolution profiles for I-123 sodium iodide capsules with two different formulations were determined using the USP XXIII dissolution test. The two formulations studied in vitro were sodium phosphate dibasic powder with 1% magnesium stearate and calcium phosphate dibasic powder with 3% magnesium stearate. By 20 min after initiation of the dissolution test, over 95% of the I-123 was released from capsules of sodium phosphate dibasic powder. The capsules of calcium phosphate dibasic powder reached 75% at 65 min, with no further release occurring thereafter. There was a statistically significant difference in the dissolution profiles of the two formulations. The thyroid uptake of I-123 from capsules exhibiting complete release and incomplete release of radioiodide was determined in hyperthyroid cats. At 4 hr, the mean percentage thyroid uptake value for sodium phosphate dibasic powder with 1% magnesium stearate (complete release formulation) was 12.0% compared to 9.4% for calcium phosphate dibasic powder with 3% magnesium stearate (incomplete release formulation); at 24 hr, the values were 34.4% compared to 23.7%. The data suggest that the incomplete dissolution profile observed in vitro may correlate with a reduction in the bioavailability of the radioiodide in vivo. However, using the Wilcoxon signed rank test, statistically significant differences did not occur between the complete release formulation and incomplete release formulation at either 4 hr or 24 hr (p >. 05). The results of the in vivo study with five hyperthyroid cats were not conclusive due to the variability in response between individual cats.     

混合Bose-Einstein凝聚的不稳定性

本文研究描述混合Bose-Einstein凝聚的耦合Cross-Pitaevskii方程组的Cauchy问题,利用不变集理论,得到了混合Bose-Einstein凝聚的不稳定性。     

Bad-scenario-set robust scheduling for a job shop to hedge against processing time uncertainty

This paper proposed two robust scheduling formulations in real manufacturing systems based on the concept of bad scenario set to hedge against processing time uncertainty, which is described by discrete scenarios. Two proposed robust scheduling formulations are applied to an uncertain job-shop scheduling problem with the makespan as the performance criterion. The united-scenario neighbourhood (UN) structure is constructed based on bad scenario set for the scenario job-shop scheduling problem. A tabu search (TS) algorithm with the UN structure is developed to solve the proposed robust scheduling problem. An extensive experiment was conducted. The computational results show that the first robust scheduling formulation could be preferred to the second one for the discussed problem. It is also verified that the obtained robust solutions could hedge against the processing time uncertainty through decreasing the number of bad scenarios and the degree of performance degradation on bad scenarios. Moreover, the computational results demonstrate that the developed TS algorithm is competitive for the proposed robust scheduling formulations.     

瓦斯突出预测敏感指标的确定方法研究

通过模糊数学与概率论相结合分析,提出确定预测敏感指标的数学模型,把抽象的敏感指标确定问题通过具体的数值表示出来。实践证明,该模型预测的结果与实际相吻合,该模型的建立对突出矿井确定其敏感指标具有一定的参考价值。     

基于融合百度指数的电商订单量组合预测研究

当前电商用户订单日志不断爆发式增加,日志行为数据亟需应用,在线用户订单量的快速动态预测成为研究的关键方向。为了提高订单量的预测精度,结合BP神经网络、基于Adaboost的BP神经网络和支持向量机的预测优点,提出一种基于融合网络搜索指数的组合预测模型,构建融合百度指数和电商用户订单信息的指标体系,并通过对比实验证明了网络搜索指数作为电商订单量组合预测模型影响因素的有效性。     

生态系统服务功能损害调查与价值量化方法研究

随着国家对生态环境保护的大力推进,开展生态系统服务功能损害鉴定评估,可以切实打击环境污染和生态破坏行为,提升污染环境和破坏生态者的违法成本.主要通过对各种生态系统提供的服务功能进行整理,依据中国现行的生态环境损害鉴定评估相关技术规范和方法对生态系统服务功能的调查和评价进行了程序、内容、方法上的研究分析,同时选取森林生态...