基于文本内容的科学前沿探测方法研究进展

[目的/意义] 本文从科学前沿概念出发,对当前已有的基于文本内容的科学前沿探测方法进行梳理总结,为科学前沿探测方法的发展提供基本参考和启发。[方法/过程] 对科学前沿相关概念、基于文本内容的科学前沿探测方法进行了系统的总结,分析了现有探测方法的优缺点。[结果/结论] 对科学前沿极其相近概念做出进一步辨析,总结目前方法存在的问题,并提出未来发展的建议。     

案例教学法在刑事侦查课中的传统及创新使用方法

在刑事侦查课的教学实践中,除了使用列举案例法、讲评案例法、讨论案例法、模拟案例法等传统的方法之外,一些教师勇于探索和创新,对传统的案例教学法进行了改革,创新出“刑侦案例实战模拟多维教学法”和“制定侦查计划案例教学法”等新方法,有效提高了案例教学的质量。     

典型的图像显著性检测算法分析和比较

图像的显著性检测是计算机视觉领域最为活跃的研究方向之一,如何检测出复杂背景下的显著物体,同时降低时间复杂度,得到分辨率高、边界清晰、整体均匀突出的显著物体是研究重点。首先论述了显著性检测原理,然后对近年来基于图像的显著性检测研究进行了详细的分析和介绍,将有关方法分成时域和频域两类,并重点介绍了各类中具有高影响力的研究成果,通过在常用的图像显著性检测的数据库中实验对比,分析了各类方法中典型技术的优缺点,最后展望了图像显著性检测在未来的发展方向和趋势。     

Direction-Based Adaptive Switching Filter for Removing High-Density Impulse Noise

A direction-based adaptive switching(DBAS) filter is presented for the removal of high-density impulse noise in images. The extrema detection and 28-directional detection are employed to discriminate the pixels as noisy or noise-free. If a pixel is classified as noisy, it will be replaced by a median or a mean value within an adaptive filter window with respect to different noise densities. Simulation results show that the miss-detection ratio and false-alarm ratio are both very low even at noise level as high as 90%. At the same time, better results are obtained in terms of the qualitative and quantitative measures. The peak signal-to-noise ratios increase by nearly 1 dB compared with other existing algorithms. In addition, the computation time is around 10 s for test images with resolutions of 512×512since the proposed approach has low complexity.     

基于角点LTS Hausdorff距离的图像配准技术

为了克服传统灰度图像配准方法计算量大、适应能力差等问题,研究了一种基于SIFT角点的图像配准方法。比较了常用的两种特征点提取算子——Harris角点算子和SIFT特征点提取算子,通过性能对比选择SIFT角点作为特征点。SIFT算子提取的特征点可能集中在某一个小区域,采用最大统计滤波对图像进行非最大抑制的方法来进行角点分布的控制。实验证明该方法可以获得的角点分布比较均匀;针对特征点的匹配,首先采用LTS Hausdorff距离进行特征点的初匹配,然后采用基于Sampson距离的随机抽样一致性算法去除伪匹配的特征点对。实验证明,该方法可以实现图像的精确配准。     

旋转开关状态检测系统设计

旋转开关状态检测系统采用减速电机通过齿轮带动六个旋转开关旋转,由电流检测电路检测负载电流,并通过分析电流变化判断旋转开关是否失效.系统通过旋转编码器与电流波形分析结果相结合的方法校准减速电机旋转的误差,并采用线性回归的方法计算出负载电流.电路中加入了锂电池备用电路,解决了系统断电时单片机的状态保持问题.     

Wind turbine fault detection based on SCADA data analysis using ANN

Wind energy is one of the fast growing sources of power production currently, and there is a great demand to reduce the cost of operation and maintenance. Most wind farms have installed supervisory control and data acquisition （SCADA） systems for system control and logging data. However, the collected data are not used effectively. This paper proposes a fault detection method for main bearing wind turbine based on existing SCADA data using an artificial neural network （ANN）. The ANN model for the normal behavior is established, and the difference between theoretical and actual values of the parameters is then calculated. Thus the early stage of main bearing fault can be identified to let the operator have sufficient time to make more informed decisions for maintenance.     

Integrated color defect detection method for polysilicon wafers using machine vision

For the typical color detects of polysilicon wafers, i.e., edge discoloration, color inaccuracy and color non-uniformity, a new integrated machine vision detection method is proposed based on an HSV color model. By transforming RGB image into three-channel HSV images, the HSV model can efficiently reduce the disturbances of complex wafer textures. A fuzzy color clustering method is used to detect edge discoloration by defining membership function for each channel image. The mean-value classi- fying method and region growing method are used to identify the other two defects, respectively. A vision detection system is developed and applied in the produc- tion of polysilicon wafers.     

肉制品中瘦肉精的检测方法

瘦肉精是一类能够促进瘦肉生长、抑制肥肉生长的动物用药。不法分子为了促进家畜生长和提高瘦肉率将瘦肉精添加于饲料中,食用了含瘦肉精的动物组织会产生严重的毒副作用。作者综述了瘦肉精的危害以及肉制品中瘦肉精检测方法研究的进展,并对各种检测方法的优缺点进行总结。     

织物缺经缺纬快速检测算法及实现

织物疵点检测是纺织工业质量控制中非常重要的环节,其目的是及时发现疵点并修复以提高织物质量.织物缺经缺纬疵点具有明显的方向性,缺经织物在缺经位置行与行之间的能量差明显高于正常织物.通过对织物相邻各行或相邻各列之间的能量差进行计算,不但能够检测是否存在缺经缺纬疵点,而且能够确定疵点所在位置.实验结果表明,此算法检测速度快,具备较强可行性.