Optimal design of paper machine headboxes

A shape optimization problem for incompressible flows within a stabilized finite element framework is studied. The goal is to develop and test numerical realizations of optimal shape design problems that could be applied to non‐trivial industrial problems. The resulting algorithm is applied to the optimization of the geometry of a tapered header in a paper machine headbox. Copyright © 2000 John Wiley & Sons, Ltd.     

A smooth‐particle mesh Ewald method for DL_POLY molecular dynamics simulation package on the Fujitsu VPP700

An N⋅ log (N) smooth‐particle mesh Ewald method has been incorporated into the DL_POLY molecular dynamics simulation package. The performance of the new code has been tested on a Fujitsu VPP700 for several DL_POLY‐specific benchmark systems. The new method is highly vectorizable, and makes use of the extremely efficient Fast Fourier Transforms on the Fujitsu vector machine. In calculations of the coulombic forces in periodic systems requiring large reciprocal space vectors, the new code was found to be considerably faster than the conventional Ewald method. © 2000 John Wiley & Sons, Inc. J Comput Chem 21: 1187–1191, 2000     

Application of artificial neural network to evaluation of dimensional accuracy of 3D-printed polylactic acid parts

Additive manufacturing (AM) has begun to replace traditional fabrication because of its advantages, such as easy manufacturing of parts with complex geometry, and mass production. The most important limitation of AM is that dimensional accuracy cannot be achieved in all parts. Dimensional accuracy is essential for high reliability, high performance, and useful final products. This study investigates the impact of printing parameters on the dimensional accuracy of samples fabricated through fused deposition modeling (FDM), an additive manufacturing (AM) method utilizing polylactic acid (PLA) material. The experimental design process was performed using Taguchi methodology. ANOVA was used to determine the most important parameter affecting accuracy. Based on experimental studies, the optimal printing parameters for parts are determined as follows: concentric infill pattern, 3 mm wall thickness, 70% infill density, and a layer thickness of 200 μm. Artificial neural network (ANN) was used in the evaluation and prediction of the results. The R-square (R²) performance evaluation criterion was above 95% from the ANN results. This value shows that the results are significant. The data acquired from this study may assist in identifying optimal parameters that contribute to the fabrication of samples with high dimensional accuracy using the FDM method.     

基于嵌入式技术的激光偏振度测量系统

为提升激光偏振度测量的精度与时效性,设计基于嵌入式技术的激光偏振度测量系统,其包括探测、控制器与上位机3部分,通过探测部分接收激光器发射的激光并通过两个液晶可变相位延迟器(LCVR),抵达偏振分光棱镜后分为两束偏振光,采用探测器探测两束光的光强传输到控制器部分;由控制器部分的嵌入式信号处理模块对所接收光强实施处理与转换后,传给AVR单片机,AVR单片机一边将转换后数字信号经串口送至上位机,由上位机内嵌入式软件和计算机操控软件运算出激光偏振度等参数并呈现运算结果,另一边经D/A产生可控制LCVR液晶相位延迟量的方波信号,继续测量其余待测激光偏振度。结果表明,该系统具有较高的测量精度,测量结果稳定性高,可实现对信号的同步实时传输,传输性能稳定,可有效促进系统的测量时效性。     

基于改进残差网络的道口车辆分类方法

为了提高模型在道口环境下的车辆图像的特征提取和识别能力,提出了一种基于改进残差网络的车辆分类方法。首先以残差网络为基础模型,改进了残差块中激活函数的位置,并将残差块中的一般卷积用分组卷积代替,引入注意力机制,用焦点损失函数替换交叉熵损失函数。实验部分先用公开数据集StanfordCars进行预训练,再用自建的道口车辆数据集进行迁移学习。结果表明,改进模型在两个数据集中的准确率均优于几种经典的深度学习模型。     

Conversion Rate Prediction Based on Text Readability Analysis of Landing Pages

Digital marketing has been extensively researched and developed remarkably rapidly over the last decade. Within this field, hundreds of scientific publications and patents have been produced, but the accuracy of prediction technologies leaves much to be desired. Conversion prediction remains a problem for most marketing professionals. In this article, the authors, using a dataset containing landing pages content and their conversions, show that a detailed analysis of text readability is capable of predicting conversion rates. They identify specific features that directly affect conversion and show how marketing professionals can use the results of this work. In their experiments, the authors show that the applied machine learning approach can predict landing page conversion. They built five machine learning models. The accuracy of the built machine learning model using the SVM algorithm is promising for its implementation. Additionally, the interpretation of the results of this model was conducted using the SHAP package. Approximately 60% of purchases are made by nonmembers, and this paper may be suitable for the cold-start problem.     

3D Printing of Capacitive Pressure Sensors with Tuned Wide Detection Range and High Sensitivity Inspired by Bio-Inspired Kapok Structures

Flexible pressure sensors have drawn considerable attention for their potential applications as electronic skins with both sensitivity and pressure response range. Although the introduction of surface microstructures effectively enhances sensitivity, the confined volume of their compressible structures results in a limited pressure response range. To address this issue, a biomimetic kapok structure is proposed and implemented for constructing the dielectric layer of flexible capacitive pressure sensors employing 3D printing technology. The structure is designed with easily deformable concave and rotational structures, enabling continuous deformation under pressure. This design results in a significant expansion of the pressure response range and improvement in sensitivity. Further, the study purposively analyses crucial parameters of the devised structure that affect its compressibility and stability. These include the concave angle θ, height ratio d₁/d₂, rotation angle α, and width k. As a result, the ultimate pressure sensors demonstrate remarkable features such as high sensitivity (≈2.38 kPa⁻¹ in the range of 0–10 kPa), broad detection range (734 kPa), fast response time (23 ms), and outstanding pressure resolution (0.4% at 500 kPa). This study confirms the viability of bionic structures for flexible sensors, and their potential to expand the scope of wearable electronic devices.     

Encoding Individual Source Sequences for the Wiretap Channel

We consider the problem of encoding a deterministic source sequence (i.e., individual sequence) for the degraded wiretap channel by means of an encoder and decoder that can both be implemented as finite-state machines. Our first main result is a necessary condition for both reliable and secure transmission in terms of the given source sequence, the bandwidth expansion factor, the secrecy capacity, the number of states of the encoder and the number of states of the decoder. Equivalently, this necessary condition can be presented as a converse bound (i.e., a lower bound) on the smallest achievable bandwidth expansion factor. The bound is asymptotically achievable by Lempel–Ziv compression followed by good channel coding for the wiretap channel. Given that the lower bound is saturated, we also derive a lower bound on the minimum necessary rate of purely random bits needed for local randomness at the encoder in order to meet the security constraint. This bound too is achieved by the same achievability scheme. Finally, we extend the main results to the case where the legitimate decoder has access to a side information sequence, which is another individual sequence that may be related to the source sequence, and a noisy version of the side information sequence leaks to the wiretapper.     

一种创新型感应电机调速系统的设计与实现

鉴于传统电力电子相关课程实验既无法直观了解电路内部构造,也不能有效提升实际动手能力的情况,设计了一种基于实验室环境的开放式创新型感应电机变频调速系统,改造了主电路和控制电路的电源,在适应实验室用电环境的同时,能实现主电路低压可测量和提升学生实验的安全性;并设计了采样电路和保护电路,能加深学生对电路的了解,增强实际动手能力.经实验验证,该系统能完成多段速运动控制、模拟量与数字量给定调速等相关实验.     

一种多语言机制英语在线翻译辅助系统

文中通过对以词组为本的统计式机器翻译系统(Statistical machine translation system,SMT)进行词对应方法的优化和筛选来建立多语言机制的英语在线翻译辅助系统.通过M1模型来计算平行语料库中语言字与字之间可能的配对几率,以EM演算法求取未知资料状况下的参数最大值.通过设置条件值参数作为...