Ordinal Regression for Information Retrieval

This letter presents a new discriminative model for Information Retrieval （IR）, referred to as Ordinal Regression Model （ORM）. ORM is different from most existing models in that it views IR as ordinal regression problem （i.e. ranking problem） instead of binary classification. It is noted that the task of IR is to rank documents according to the user information needed, so IR can be viewed as ordinal regression problem. Two parameter learning algorithms for ORM are presented. One is a perceptron-based algorithm. The other is the ranking Support Vector Machine （SVM）. The effectiveness of the proposed approach has been evaluated on the task of ad hoc retrieval using three English Text REtrieval Conference （TREC） sets and two Chinese TREC sets. Results show that ORM significantly outperforms the state-of-the-art language model approaches and OKAPI system in all test sets; and it is more appropriate to view IR as ordinal regression other than binary classification.     

SOM人工神经网络与阻抗谱方法结合研究涂层的失效过程

    分析了干湿循环条件下有机涂层的电化学阻抗谱特征后选取了阻抗变化率参数作为一维自组织特征映射(self-organizing feature map,SOM)神经网络的训练样本,每个样本对输出层神经元都会产生一定的激发水平,根据该神经网络的特性,输出神经元激发水平的变化趋势便可以反映涂层的降解过程.结合涂层阻抗谱的变化特征,可以把干湿循环条件下涂层的失效过程分为三个阶段,即介质渗入涂层过程,介质到达金属表面诱发金属腐蚀过程和腐蚀扩展涂层剥离过程.     

Artistic features extraction from chinese calligraphy works via regional guided filter with reference image

Chinese calligraphy is a unique visual art, and and is one of the material basis of China’s traditional cultural heritage. However, time had caused the old calligraphy works to weathering and damages, so it is necessary to utilize advanced technologies to protect those works. One of those technologies is digital imaging, and the obtained images by digital imaging can preserve the visual information of calligraphy works better, furthermore, they can be used in further researches. While the basic works for those researches are to extract the artistic features which include two elements, i.e., form and spirit. However, most of the existing methods only extract the form and ignore the characters’ spirit, especially they are insensitive to the slight variation in complex ink strokes. To solve these problems, this paper proposes an extraction method based on regional guided flter (RGF) with reference images, which is generated by KNN matting and used as the input image for RGF. Since RGF is sensitive to the slight variation of ink, so the detailed information of the inside of strokes can be detected better. Besides, unlike the past works, which filter the whole strokes, RGF filters the inside of strokes and edges in different windows respectively, which results in that the edges are preserved accurately. Results from a deployment of several famous Chinese calligraphy works demonstrate that our method can extract more accurate and complete form and spirit with lower error rate.     

浅谈人-机-环境理论在电力安全中的应用

通过人、机、环境安全理论对电力系统内部的不安全因素进行分析,以期从根本上找出事故发生的原因,从而找出解决问题的途径。     

Blind 2-D Angles of Arrival Estimation for Distributed Signals Using L-Shaped Arrays

Most existing two dimensional（2-D）angles of arrival（AOAs）estimation methods are based on the assumption that the signal sources are point sources.However,in mobile communications,local scattering in the vicinity of the mobile results in angular spreading as seen from a base station antenna array.In this paper,we consider the problem of estimating the 2-D AOAs of spatially distributed sources.First we perform blind estimation of the steering vectors by exploiting joint diagonalization,then the 2-D AOAs are obtained through two fast Fourier transforming of the estimated steering vectors.Simulations are carried out to illustrate the performance of the method.     

润滑与冷却系统数字化设计平台研究

采用数字化设计技术不仅有利于提高大型装备的设计质量,而且能够缩短研制时间和降低研制成本,因此具有十分明显的学术价值和应用价值。本文以航空发动机中的润滑与冷却工作系统为研究对象,建立了针对这一系统的数字化设计平台,并对其中的关键技术问题进行了研究和分析。本文的研究方法和成果亦为类似的其它装备系统的数字化设计工作提供了参考依据。     

Maternal Prenatal Inflammation Increases Brain Damage Susceptibility of Lipopolysaccharide in Adult Rat Offspring via COX-2/PGD-2/DPs Pathway Activation

A growing body of research suggests that inflammatory insult contributes to the etiology of central nervous system diseases, such as depression, Alzheimer’s disease, and so forth. However, the effect of prenatal systemic inflammation exposure on offspring brain development and cerebral susceptibility to inflammatory insult remains unknown. In this study, we utilized the prenatal inflammatory insult model in vivo and the neuronal damage model in vitro. The results obtained show that prenatal maternal inflammation exacerbates LPS-induced memory impairment, neuronal necrosis, brain inflammatory response, and significantly increases protein expressions of COX-2, DP2, APP, and Aβ, while obviously decreasing that of DP1 and the exploratory behaviors of offspring rats. Meloxicam significantly inhibited memory impairment, neuronal necrosis, oxidative stress, and inflammatory response, and down-regulated the expressions of APP, Aβ, COX-2, and DP2, whereas significantly increased exploring behaviors and the expression of DP1 in vivo. Collectively, these findings suggested that maternal inflammation could cause offspring suffering from inflammatory and behavioral disorders and increase the susceptibility of offspring to cerebral pathological factors, accompanied by COX-2/PGD-2/DPs pathway activation, which could be ameliorated significantly by COX-2 inhibitor meloxicam treatment.     

动载滑动轴承瞬态油膜的全景实验研究

在搭建的滑动轴承实验台上,对大扰动工况下油膜全景空穴分布图像及油膜压力进行瞬态同步采集,并对图像进行后处理,以便于观察并与基于质量守恒边界条件的理论仿真结果对比,并对同一旋转周期内油膜空穴分布和不同工况下油膜压力进行对比分析。结果表明：油膜全景图像经过后处理转化为油膜原形展开图像后,图像直观,且更易于对比分析;在大扰动工况下,油膜空穴区域随最大动偏心位置迁移而迁移。     

基于压力槽可调谐长周期光纤光栅模块的设计

提出一种基于机械微弯变形法的能够同时生成不同谐振波长的多个长周期光纤光栅的制作方案.仿真分析了该方案中各参数(如光栅有效长度、倾斜角度以及外界应力)变化对长周期光纤光栅损耗峰深度和谐振波长的影响.结果显示,长周期光纤光栅的损耗峰深度主要受光栅有效长度和压力影响,而倾斜角度大幅度改变谐振波长位置.