直纺长丝工艺中聚酯熔体端羧基值控制的工业研究

本文从工业生产的实践出发对杜邦聚酯技术直接纺工艺中端羧基控制进行了研究。通过对熔体端羧基值对无油长丝端羧基、粘度及纺丝加工影响的分析 ,阐明了聚酯端羧基控制范围 ;通过摸索三个反应釜工艺条件对端羧基值的影响 ,找出了端羧基工业控制的有效途径 ,为同类技术装置生产提供了依据     

Possible Energy Network with polygeneration system and CCS for China

On basis of adopting polygeneration systems for power and alternative fuels,capturing CO2 with near zero energy penalties,and storing CO2 on sites,a new kind of Energy Network can integrate energy utilization,CO2 capture,transportation and storage synthetically.Techno-economic analysis of this solution focusing on Inner Mongolia and the Yangtze River Delta districts had been carried with comparison to the chain method for energy utilization and CO2 sequestration.This solution can save 21.5% of energy,and re...     

略论英语学习环境的构建

从自主学习理论出发,结合当前高职院校学生的英语学习现状,论述了高职学生英语自主学习中的学习环境的构建。通过构建良好的师生关系、轻松的课堂氛围、与同伴的多种协作关系、丰富的课外活动来促进学生的英语自主学习能力,为学生创造良好的英语学习环境。     

A power-aware code-compression design for RISC/VLIW architecture

We studied the architecture of embedded computing systems from the viewpoint of power consumption in memory systems and used a selective-code-compression (SCC) approach to realize our design.Based on t...     

A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition

Palmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition, and have achieved impressive results. However, the research on deep learning-based palmprint recognition and palm vein recognition is still very preliminary. In this paper, in order to investigate the problem of deep learning based 2D and 3D palmprint recognition and palm vein recognition in-depth, we conduct performance evaluation of seventeen representative and classic convolutional neural networks (CNNs) on one 3D palmprint database, five 2D palmprint databases and two palm vein databases. A lot of experiments have been carried out in the conditions of different network structures, different learning rates, and different numbers of network layers. We have also conducted experiments on both separate data mode and mixed data mode. Experimental results show that these classic CNNs can achieve promising recognition results, and the recognition performance of recently proposed CNNs is better. Particularly, among classic CNNs, one of the recently proposed classic CNNs, i.e., EfficientNet achieves the best recognition accuracy. However, the recognition performance of classic CNNs is still slightly worse than that of some traditional recognition methods.

     

现代远程协作学习系统的设计与实现

目前的远程教学中主要依赖的信息共享、个体学习、有限交互的模式,已经不能满足学习者对学习质量越来越高的期望。在此,提出一个协作学习模型。这种协作方式可以使学生在信息交流的过程中,更好地了解他人的观点、方法和建议,促进自己的学习。同时,这种模型也为基于Web的信息交流提供新的协作方式。     

基于Java的证券交易技术指标

相对于传统的图形分析,技术指标分析比较客观。传统的图形分析有很大的争议性,而技术指标是一个确定值,没有多少争论的余地。该文阐述MACD指标(MACD线、信号线)和MACD柱的计算方法及计算机实现。