基层设备管理中的专业考核问题

在基层设备管理中,建立以案例考核为主体的考核体系,采用多种激励手段,实现设备管理的有效性和经济性。     

Mass balance soil ingestion estimating methods and their application to inhabitants of rural and wilderness areas: A critical review

Quantitative soil ingestion studies employing a mass balance tracer approach have been used to provide a defensible means to estimate soil ingestion for human health risk assessments. Past studies have focused on soil ingestion in populations living in urban/suburban environments. There is a paucity of reliable quantitative soil ingestion data to support human health risk assessments of other lifestyles that may be predisposed to ingesting soil, such as agricultural workers or indigenous populations following traditional lifestyles. The results of a preliminary analysis of sampling and analytical variability that would result from assessing activities typical of populations in rural or wilderness areas and conducted over wide areas show that approximately 225 subject days would be required to detect a difference of 20 mg/d in soil ingestion. Given the typically small populations in these areas, future soil ingestion studies should be focused on specific activities with a high potential for soil ingestion.     

基于动态安全域的电力系统安全概率评估模型

针对电力系统安全性问题特性,提出一种基于动态安全域的安全概率评估模型。模型核心是不安全概率指标,并通过该指标来表征各电力元件以及整个电力系统的安全性状况。概率方法的引入,使得模型不仅计及系统中各种主要的不确定性因素,而且对系统的安全状况进行了定量的描述。动态安全域理论大大降低了安全概率评估的计算量,使得该模型具有实用性。评估结果可以用于指导运行人员在安全控制中制定正确的决策。用新英格兰10机39节点系统(New England 10-generator 39-bussystem)对该模型做了验证。     

两种紫外成像参数在绝缘子故障诊断中的比较

绝缘子的运行状态直接关系到高压电网的稳定性,在运行过程中会出现绝缘性能下降同时伴随着表面放电,可以用紫外成像仪对其运行状态进行检测。目前,主要的参数是"紫外光斑面积"和"光斑直径",为了对它们在绝缘子故障诊断中的性能有一个对比,笔者通过喷水分级法在现场选择了正常、良好、微痕、劣化和严重老化5种绝缘状态的同一种绝缘子,在实验室搭建平台,在加压8、10、15 kV的情况下,通过南非CoroCAM504紫外成像仪对绝缘子放电情况拍摄足够的紫外图片,运用数字图像处理算法提取了两个参数值,通过MATLAB数字仿真,得到了这两种参数随绝缘状态的变化趋势。结果表明:①在绝缘子绝缘状态艮好的时候,光斑面积和光斑直径几乎可以忽略,对应性比较好,反之,在这两个参数都很小的时候,说明绝缘子绝缘良好;②在绝缘子绝缘出现问题时,二者都有上升趋势,但是光斑面积有一个转折点"4",而光斑直径没有,这说明,当绝缘劣化到一定程度时,光斑面积就没有太大区分度了,而光斑直径则可以区分。最终为绝缘子的运行状态的评估提供了量化的依据和一定的指导。     

一种应用于输电管理的动态安全控制新方法

提出了一种解决动态安全评估中的动态优化问题的方法。文中首先回顾了在连续时域空间的动态优化问题的描述方法,然后通过离散化．将该问题转换成离散时域空间的静态优化问题。解决该问题的方法可以用于评估保证系统动态和静态安全稳定的预防控制措施的效果。特别是。通过一个合同削减程序,可以评估在解除管制的市场环境下用于考虑安全约束的输电管理双边合同的修正电量。     

M2OVQA: Multi-space signal characterization and multi-channel information aggregation for quality assessment of compressed omnidirectional videos

Considering the high requirements for omnidirectional video compression, we propose an objective quality evaluation method to assess quality loss in encoding omnidirectional videos. According to characteristics of 360° videos, we consider multi-space signal characterization (MSSC) to fully characterize the distortions of video signals from spatial/image domains to frequency domains and from image content to motion information, and further consider multi-channel information aggregation (MCIA) to fuse scores from multiple projection planes and temporal divided groups. The main innovation of our method is to establish a universal framework in bridging the connection between typical quality assessment and 360° quality assessment to measure 360° video quality effectively and efficiently. Experimental results show that our method outperforms state-of-the-art 2D quality metrics and quality metrics for omnidirectional images.     

基于压缩感知与结构自相似性的遥感图像超分辨率方法

本文提出了一种基于压缩感知、结构自相似性和字典学习的遥感图像超分辨率方法,其基本思路是建立能够稀疏表示原始高分辨率图像块的字典。实现超分辨率所必需的附加信息来源于遥感图像中广泛存在的自相似结构,该信息可在压缩感知框架下通过字典学习而得到。这里,本文采用K-SVD方法构建字典、并采用OMP方法获取用于稀疏表达的相关系数。与现有基于样本的超分辨率方法的最大不同在于,本文方法仅使用了低分辨率图像及其插值图像,而不需要使用其它高分辨率图像。另外,为了评价方法的效果,本文还引入了一个衡量图像结构自相似性程度的新型指标SSSIM。对比实验结果表明,本文方法具有更好的超分辨率重构效果和运算效率,并且SSSIM指标与超分辨率重构效果具有较强的相关性。      

灰色理论在房地产投资项目风险评价中的应用

针对房地产投资项目风险自身特性,利用层次分析法和灰色聚类法进行房地产项目投资中的风险评价,将房地产风险量化,进行风险评价,不仅比较准确地把握项目投资风险状况,为管理者提供更为合理的参考依据,而且使投资决策更为科学。     

混合核函数SVM在变压器状态评估中的应用

核函数是SVM(Support Vector Machine,支持向量机)的重要组成部分,核函数的选取对分类效果有明显的影响。该文把混合核函数引入到变压器状态评估中。实例分析表明,混合核函数支持向量机提高了状态评估的准确率。     

An ensemble image quality assessment algorithm based on deep feature clustering

To effective handle image quality assessment (IQA) where the images might be with sophisticated characteristics, we proposed a deep clustering-based ensemble approach for image quality assessment toward diverse images. Our approach is based on a convolutional DAE-aware deep architecture. By leveraging a layer-by-layer pre-training, our proposed deep feature clustering architecture extracted a fixed number of high-level features at first. Then, it optimally splits image samples into different clusters by using the fuzzy C-means algorithm based on the engineered deep features. For each cluster, we simulated a particular fitting function of differential mean opinion scores with each assessed image’s PSNR, SIMM, and VIF scores. Comprehensive experimental results on TID2008, TID2013 and LIVE databases have demonstrated that compared to the state-of-the-art counterparts, our proposed IQA method can reflect the subjective quality of images more accurately by seamlessly integrating the advantages of three existed IQA methods.