加权支持向量机分类算法及应用

加权支持向量机分类算法是对类别差异造成的影响进行相应补偿的一种支持向量机算法，目的是提高样本中小类别的分类精度．我们通过用支持向量机和加权支持向量机算法相比较，加权支持向量机可提高样本中小类别的分类精度，这对于某些需要重点关注的小类别精度的分类有重要的现实意义．     

A novel method for tracking pedestrians from real-time video

This novel method of Pedestrian Tracking using Support Vector (PTSV) proposed for a video surveillance instrument combines the Support Vector Machine (SVM) classifier into an optic-flow based tracker. The traditional method using optical flow tracks objects by minimizing an intensity difference function between successive frames, while PTSV tracks objects by maximizing the SVM classification score. As the SVM classifier for object and non-object is pre-trained, there is need only to classify an image block as object or non-object without having to compare the pixel region of the tracked object in the previous frame. To account for large motions between successive frames we build pyramids from the support vectors and use a coarse-to-fine scan in the classification stage. To accelerate the training of SVM, a Sequential Minimal Optimization Method (SMO) is adopted. The results of using a kernel-PTSV for pedestrian tracking from real time video are shown at the end. Comparative experimental results showed that PTSV improves the reliability of tracking compared to that of traditional tracking method using optical flow.     

“电机学”非标准答案考试的探讨

针对本科双创培养的定位,本文分析了电机学目前考试形式存在的问题,探讨电机学课程考试实施非标准答案考试形式。充分利用电机学实验引领理论教学模式以及Matlab平台的设计与仿真,拓宽电机学的学习广度与深度,探索提高文献查阅、阅读与文献综述能力。非标准答案考试改革表明,避免了标准答案考试的不足,激发了学生对电机学的学习兴趣,强调学生自觉学习过程,提高了学生的自学和创新能力。     

Factors Affecting the Ability to Detect Spreadsheet Errors

The extensive computational and formatting capabilities of today's spreadsheets enable users to create sophisticated analytical models with professionally formatted outputs. But good‐looking reports can mask a host of input errors, formula mistakes, and computational problems. This article examines the subject of spreadsheet error detection in detail and describes an experiment designed to identify those factors influencing the error‐detection capabilities of a sample of spreadsheet users.     

在《机械设计基础》教学中应注重学生创新素质的培养

教育是知识创新、传播和应用的主要基地，在培养民族创新精神和培养创造型人才方面肩负着特殊的使命，必须转变那种妨碍学生创新精神和创新能力发展的教育观念、教育模式。改革教学内容，教学方法，构建新型的人才培养模式。本文结合高等职业教育的自身特点，论述了在《机械设计基础》教学中，合理设计教学目标，优化教学方法，加强实践教学，培养学生的创造思维和创新素质。     

Using SVM to construct a Chinese dependency parser

INTRODUCTION Conventional parsers with practical levels of performance require a number of sophisticated rules that have to be handcrafted by linguists. It is time-consuming and cumbersome to maintain. A lot of rules will generate conflict, so such rules often deteriorate the overall performance of the parser. The stochastic approach, on the other hand, has the po- tential to overcome these difficulties. In the late 1980s and early 1990s, the induction and parameter estima- tion of probab…     

水杨醛缩丙醇胺Schiff碱锰(Ⅱ)水杨酸根离子选择性电极的研究

本文研究了基于水杨醛缩丙醇胺Schiff碱(Ⅱ)锰金属配合物[Mn(Ⅱ)-SaPa]为中性载体的阴离子选择性电极。该电极对水杨酸根(Sal~-)具有优良的电位响应性能,并呈现出反Hofmeister选择性行为,其选择性次序为I~-＜SO_3~(2-)＜SO_4~(2-)＜PO_4~(3-)＜NO_3~-＜A_C~-＜SCN~-＜NO_2~-＜CIO_4~-＜Sal~-。在pH5．0的磷酸盐缓冲体系中,电极电位呈现近能斯特响应,线形响应范围为5．0×10~(-5)-1．0×10~(-1)mol/L,斜率为-56．8mV/dec(20℃),检测下限为2．0×10~(-5)mol/L。采用交流阻抗技术和紫外可见光谱技术研究了电极的响应机理,结果表明配合物中心金属原子的结构以及载体本身的结构与电极的响应行为之间有非常密切的构效关系。并将电极用于药品分析,其结果令人满意。     

谈如何提高ADO性能

为了更好的开发基于数据库的管理信息系统,开发人员寻求各种提高系统效率的方法以满足用户需求。作为数据库系统程序的核心技术——ADO,它的性能决定系统的效率,提高ADO的性能成了开发数据库管理系统的关键和急需解决的问题。本文从不同的角度,就四大方面对提高ADO性能做了相应的研究和详细阐述。     

Automatic extraction of titles from general documents using machine learning

In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of specific genres, including presentations, book chapters, technical papers, brochures, reports, and letters. Previously, methods have been proposed mainly for title extraction from research papers. It has not been clear whether it could be possible to conduct automatic title extraction from general documents. As a case study, we consider extraction from Office including Word and PowerPoint. In our approach, we annotate titles in sample documents (for Word and PowerPoint, respectively) and take them as training data, train machine learning models, and perform title extraction using the trained models. Our method is unique in that we mainly utilize formatting information such as font size as features in the models. It turns out that the use of formatting information can lead to quite accurate extraction from general documents. Precision and recall for title extraction from Word are 0.810 and 0.837, respectively, and precision and recall for title extraction from PowerPoint are 0.875 and 0.895, respectively in an experiment on intranet data. Other important new findings in this work include that we can train models in one domain and apply them to other domains, and more surprisingly we can even train models in one language and apply them to other languages. Moreover, we can significantly improve search ranking results in document retrieval by using the extracted titles.     

利用电力线载波实现远距离控制的研究

电力线载波技术可广泛应用于同一变压器供电范围内各种自动控制系统,如每个建筑物内统一的防火系统、自动打铃系统、广播通讯系统、远距离电器控制等。从总体角度对一般电力线载波电路工作原理进行分析、并设计几个实用线路。