基于嵌入式系统的双屏兼容显示设计

提出了一种基于嵌入式系统的双屏兼容显示设计方案.以一款单色STN-LCD、一款TFT-LCD和LPC2478芯片为例进行了介绍,完成了两款液晶显示屏与LPC2478硬件接口电路的设计,并详细阐述了双屏兼容下GUI程序设计的总体框架以及编程的一些细节.最后对设计进行测试和分析,结果表明此方法可以完整显示相关信息,并具有一...     

A life-prediction method for lithium-ion batteries based on a fusion model and an attention mechanism

The current life-prediction models for lithium-ion batteries have several problems, such as the construction of complex feature structures, a high number of feature dimensions, and inaccurate prediction results. To overcome these problems, this paper proposes a deep-learning model combining an autoencoder network and a long short-term memory network. First, this model applies the characteristics of the autoencoder to reduce the dimensionality of the high-dimensional features extracted from the battery data set and realize the fusion of complex time-domain features, which overcomes the problems of redundant model information and low computational efficiency. This model then uses a long short-term memory network that is sensitive to time-series data to solve the long-path dependence problem in the prediction of battery life. Lastly, the attention mechanism is used to give greater weight to features that have a greater impact on the target value, which enhances the learning effect of the model on the long input sequence. To verify the efficacy of the proposed model, this paper uses NASA''s lithium-ion battery cycle life data set.     

采用量子含时波包方法研究H/D+Li_2→LiH/LiD+Li反应

采用量子波包方法和二阶分裂算符方法对H/D+Li_2→LiH/LiD+Li反应在0.01到0.4 eV的碰撞能范围内进行了动力学计算.在态分辨的理论水平上计算了反应概率、积分截面、微分截面等动力学性质并与之前的理论结果进行了比较.结果表明:由于本文的计算中包含了总角动量J在体固定坐标轴上的所有投影所得,结果更加精确;此外,当H原子被重的同位素原子D取代,反应概率、积分截面增大,然而这并没有对反应机理产生大的影响.前后对称的微分截面表明插入反应机理在反应过程中占据主导地位.     

Defect detection method of magnetic disk image based on improved convolutional neural network

This paper proposes an efficient method for defect detection of magnetic disk image based on improved convolutional neural network. We build a model named DiskNet on the basis of VGGNet-19, in which the optimal activation function is selected predictively through a weighted probability learning curve model (WP-Model). First, we use Markov Chain Monte Carlo (MCMC) to infer the predicted value and determine prediction probability. Then, the evaluation point (EP) is determined by the effective information of training curve. In the process of DiskNet training, when the prediction probability is higher than the threshold, the neural network will select the current activation function. If the training epochs exceed the EP and the threshold is not reached, the original activation function will be used. The experimental results show that the accuracy of the proposed method in detecting defects on the magnetic disk image data set is 96.9%.     

基于空间位置和场景的Ad Hoc路由协议

在移动Ad Hoc网络中,基于拓扑的路由易发生链路断开,基于地理位置的路由易产生拓扑洞,这都会大大降质路由算法的性能,甚至会出现路由失败的问题.为此文中提出了基于空间位置和场景的Ad Hoc路由协议.该协议算法采用构建空间模型,将场景知识引入路由过程的方法,通过在路由前规避拓扑洞来改善和提高路由性能.仿真结果表明在网络连通度适当的条件下,新的路由协议算法可行和有效的.     

PLAR在噪声环境下说话人识别中的应用

本文介绍了基于文本无关的说话人识别系统中,采用一种具有较好顽健性的语音特征参数的方法,这个参数叫做感知对数面积比.在不同的噪声环境下,把本文采用的方法跟常用的特征参数进行比较,证明了感知面积比参数比常用的几个参数比如MFCC和LPCC有更好的噪声顽健性.     

PLAR在噪声环境下说话人识别中的应用

本文介绍了基于文本无关的说话人识别系统中,采用一种具有较好顽健性的语音特征参数的方法,这个参数叫做感知对数面积比。在不同的噪声环境下,把本文采用的方法跟常用的特征参数进行比较,证明了感知面积比参数比常用的几个参数比如MFCC和LPCC有更好的噪声顽健性。     

A sparse representation method for image-based surface defect detection

In this paper, an efficient sparse representation-based method is presented for detecting surface defects. The proposed method uses the sparse degree of coefficient in the redundant dictionary for checking whether the test image is defective or not, and the binary representation of the defective images is obtained, according to the global coefficient feature. Owing to the requirements for the efficiency and detecting quality, the block proximal gradient operator is introduced to speed up the online dictionary learning. Considering the correlation among the testing samples, prior knowledge is applied in the orthogonal-matching-pursuit sparse representation algorithm to improve the speed of sparse coding. Experimental results demonstrate that the proposed detection method can effectively detect and extract the defects of the surface images, and has broad applicability.     

基于正则化的半监督等距映射数据降维方法

针对等距映射(ISOMAP)算法无监督,不能生成显式映射函数等局限性,该文提出一种正则化的半监督等距映射(Reg-SS-ISOMAP)算法。该算法首先利用训练样本的标签样本构建K联通图(K-CG),得到近似样本间测地线距离,并作为矢量特征代替原始数据点;然后通过测地线距离计算核矩阵,用半监督正则化方法代替多维尺度分析(MDS)算法处理矢量特征;最后利用正则化回归模型构建目标函数,得到低维表示的显式映射。算法在多个数据集上进行了比较实验,结果表明,文中提出的算法降维效果稳定,识别率高,显示了算法的有效性。