Partial Label Learning via Conditional-Label-Aware Disambiguation

Partial label learning is a weakly supervised learning framework in which each instance is associated with multiple candidate labels,among which only one is the ground-truth label.This paper proposes a unified formulation that employs proper label constraints for training models while simultaneously performing pseudo-labeling.Unlike existing partial label learning approaches that only leverage similarities in the feature space without utilizing label constraints,our pseudo-labeling process leverages similarities and differences in the feature space using the same candidate label constraints and then disambiguates noise labels.Extensive experiments on artificial and real-world partial label datasets show that our approach significantly outperforms state-of-the-art counterparts on classification prediction.     

峰位微扰动修正在构建高斯响应矩阵中的应用研究

现有的高斯响应矩阵在对高分辨率γ能谱进行重建时,极易出现假峰、峰位漂移等问题。本文针对测量条件（温/湿度、电压波动等）微弱变化引起峰位扰动进而影响高斯响应矩阵重建结果准确度的问题,通过引入微扰动修正因子,对现有高斯响应矩阵进行修正。采用IAEA重峰分解测试谱及GMX40P高纯锗探测器实测能谱对修正前后的高斯响应矩阵进行谱线解析测试。结果表明：通过修正后响应矩阵重建的能谱,其峰位与实际峰位保持一致,净峰面积的相对偏差分别低于1025%和550%。     

Approximate Model-Free Assessment of Oscillation Stability Determined by the PLLs in a Weakly Grid-Connected Wind Farm with Multiple PMSGs

Abstract

The study investigates the oscillation stability determined by phase locked loops (PLLs) in a weakly grid-connected wind farm with multiple permanent magnet synchronous generators (PMSGs). To this end, an equivalent model of the wind farm is derived. Based on the derived equivalent model, the oscillation stability of the wind farm as determined by the dynamics of the PLLs is analytically examined. This paper explains why the PLLs equipped by the PMSGs in the wind farm can lead to instability risk under the condition of weak grid connection. A simple index is proposed to approximately assess instability risk of the wind farm due to the PLLs. The parametric model of the wind farm with the PMSGs is not necessary to calculate the proposed simple index. Hence, it is model-free and applicable in practice when it is difficult to establish the parametric model. An example of a grid-connected wind farm with 12 PMSGs is presented to evaluate and demonstrate the analysis conducted and the simple index proposed in the paper.     

A collaborative contour detector by gradient and active contours for ultrasound kidney images

In the process of urinary system disease diagnosis, a complete kidney contour is crucial to estimate its size, area, volume and other properties. These properties can effectively help doctors diagnosis and prepare treatment plans. However, ultrasound images suffer from low signal-to-noise ratio, speckle, missing boundaries and other artefacts. Traditional contour detection algorithms can hardly extract a continuous and accurate kidney contour. To solve the problem, we propose a collaborative contour detector by gradient and active contour. It not only can make sure that the extracted contour is continuous and accurate but also is simple and suitable to use in practice. Both the simulated experiments and clinical experiments show that the proposed algorithm achieves a good performance in ultrasound kidney images and can effectively assist doctors in diagnosis.     

弱势的和强势的——白先勇小说中的男女角色易位

白先勇以弱势的男性和强势的女性作为建构其小说世界的基点。男女角色易位颠覆了男强女弱的传统人物塑造方式，揭示出单个人边缘化生存所不为人知的痛苦。父辈影响、生活经历及其性取向是产生这一特色的根本原因。     

弱酸离子交换纤维的结构表征与性能研究

采用预辐射接枝法,引发聚丙烯(PP)纤维接枝丙烯酸(AA),制备出接枝率为235%～298%,平均交换容量为9.65mmol/g,物理机械性能良好的弱酸离子交换纤维(PP-g-AA).利用分析仪器对PP-g-AA纤维的结构进行表征,并对其机械强度、热稳定性、交换容量、接枝率、化学稳定性等物理与化学性能进行了测试.结果表明,利用预辐射接枝法制备的PP-g-AA纤维具有较高的交换容量、快的吸附速度、较好的机械性能和稳定的化学性能,是一种性能优良的功能材料.     

基于安全博弈的综合能源系统安全性分析及防御策略

基于安全博弈理论,分析辨识综合能源系统安全运行的关键影响因素,将其作为安全防御的薄弱环节,制定防御策略并重点防护。构建综合能源系统防御者-攻击者-防御者3层零和主从博弈模型,攻击者以攻击系统的薄弱环节为策略期望最大化系统损失,防御者制定防护策略以增强系统的安全性;求解博弈模型的均衡解,得到的最小系统损失即为最佳防御策略;以某综合能源系统为例进行仿真分析,结果表明优先防护系统的薄弱环节可提升系统的安全可靠性,为分析综合能源系统的安全性提供参考。     

各向异性椭圆方程障碍问题弱解的拟最小化性质

拟最小化性质是研究椭圆方程弱解的重要工具。该文研究了各向异性的A-调和方程-divA(x,Du)=0障碍问题的弱解,使用了Hlder不等式,Young不等式以及一些基本不等式,完成了各向异性情形下弱解的积分估计,得到了各向异性障碍问题弱解的拟最小化性质。     

基于随机共振原理的低频弱信号检测方法研究

介绍了双稳系统,讨论了产生随机共振的条件以及输出频谱的特性。针对原双稳系统不能检测中低频率信号的问题,利用参数变换原理,推导出了一种新的模型,阐述与分析了该模型的参数变化对输出混合信号的影响。模型相对于经典双稳系统模型降低了对输入的要求。