MECHANISM OF Re-B-V CO-PERMEATION

ＭＥＣＨＡＮＩＳＭＯＦＲｅＢＶＣＯＰＥＲＭＥＡＴＩＯＮ①ＬｉＦｅｎｇｚｈｅｎ，ＬｉｕＺｈａｏｊｉｎｇ，ＪｉｎＱｕａｎ，ＸｕＺｈｉｈｕｉＤｅｐａｒｔｍｅｎｔｏｆＭａｔｅｒｉａｌｓＳｃｉｅｎｃｅａｎｄＥｎｇｉｎｅｅｒｉｎｇ，ＨａｒｂｉｎＵｎｉｖｅｒ...     

冷连轧过程控制数据管理系统的研究

数据管理系统逐渐成为冷连轧过程控制中的重要组成部分。介绍了一种基于组态软件的数据管理系统,重点介绍了过程数据的采集和存储,及其在冷连轧过程控制中的应用等。     

C02/H2S对油气管材的腐蚀规律及研究进展

综述了CO2、H2S在单独作用和共存条件下对油气管材的腐蚀机理及影响因素，提出了针对CO2／H2S腐蚀开发经济型油管的设想。     

稀土元素在高锰钢中的作用

阐述了稀土对高锰钢冶金质量、组织、力学性能、工艺性能和加工硬化的影响     

Φ650mm轧机轧制38kg/m重轨孔型设计

简述了在Φ650mm中型轧机上轧制38kg/m重轨孔型系统的选择,及其设计要点。     

压差变化位移力反馈校正比例调速阀研究

提出一种新的流量控制原理，应用这一原理，仅用一位移力反馈型比例节流阀就可实现通过阀流量与压差变化无关的单调线性控制，间化了阀的结构，试验结果表明这种原理的比例流量阀具有较高的控制精度。     

U71Mn钢钢轨轨端热处理工艺改进

对钢轨轨端采用加热空冷、加热风冷、淬火 回火3种不同的工艺进行热处理，并对处理后钢轨踏面的组织、性能进行对比分析。结果表明，钢轨轨端采用加热风冷的热处理工艺是可行的，用该工艺处理后钢轨轨端的组织、性能能够满足标准要求。     

基于YCbCr颜色空间的叶片阴影检测与去除

自然环境下获得的植物叶片图像往往由于阴影的存在而严重影响植物叶面特征的提取,为了解决这个问题,提出了一种基于YCbCr颜色空间的阴影的检测与去除方法.首先在YCbCr颜色空间中计算Y通道强度,采用阈值法检测阴影区域.然后在YCbCr颜色空间下根据光照模型对阴影区每个像素进行光照恢复.最后转化到RGB颜色空间下.相对于直接在RGB空间进行的阴影去除,该方法减弱阴影区的边缘效应,使得去除阴影后的区域与非阴影区的颜色更加一致,恢复图像看上去更加自然.     

Multi-label classification via learning a unified object-label graph with sparse representation

Automatic annotation is an essential technique for effectively handling and organizing Web objects (e.g., Web pages), which have experienced an unprecedented growth over the last few years. Automatic annotation is usually formulated as a multi-label classification problem. Unfortunately, labeled data are often time-consuming and expensive to obtain. Web data also accommodate much richer feature space. This calls for new semi-supervised approaches that are less demanding on labeled data to be effective in classification. In this paper, we propose a graph-based semi-supervised learning approach that leverages random walks and ? ₁ sparse reconstruction on a mixed object-label graph with both attribute and structure information for effective multi-label classification. The mixed graph contains an object-affinity subgraph, a label-correlation subgraph, and object-label edges with adaptive weight assignments indicating the assignment relationships. The object-affinity subgraph is constructed using ? ₁ sparse graph reconstruction with extracted structural meta-text, while the label-correlation subgraph captures pairwise correlations among labels via linear combination of their co-occurrence similarity and kernel-based similarity. A random walk with adaptive weight assignment is then performed on the constructed mixed graph to infer probabilistic assignment relationships between labels and objects. Extensive experiments on real Yahoo! Web datasets demonstrate the effectiveness of our approach.     

Statistical shape modelling for expression-invariant face analysis and recognition

Paper introduces a 3-D shape representation scheme for automatic face analysis and identification, and demonstrates its invariance to facial expression. The core of this scheme lies on the combination of statistical shape modelling and non-rigid deformation matching. While the former matches 3-D faces with facial expression, the latter provides a low-dimensional feature vector that controls the deformation of model for matching the shape of new input, thereby enabling robust identification of 3-D faces. The proposed scheme is also able to handle the pose variation without large part of missing data. To assist the establishment of dense point correspondences, a modified free-form-deformation based on B-spline warping is applied with the help of extracted landmarks. The hybrid iterative closest point method is introduced for matching the models and new data. The feasibility and effectiveness of the proposed method was investigated using standard publicly available Gavab and BU-3DFE datasets, which contain faces with expression and pose changes. The performance of the system was compared with that of nine benchmark approaches. The experimental results demonstrate that the proposed scheme provides a competitive solution for face recognition.