基于外部压力的我国上市公司环境信息披露

以我国沪市A股制造业上市公司为研究样本,从外部压力角度,分析合法性压力和投资者关注度对企业环境信息披露行为的影响。研究发现：合法性压力越大,上市公司越有可能进行环境信息披露;投资者关注度对上市公司环境信息披露呈现微弱正相关关系,但在统计上不显著。     

礼貌原则的局限性及其发展策略

借鉴乔姆斯基的语言观,首先重点分析了礼貌原则在观察充分性、描写充分性、解释充分性、语言生成的合理性四个方面的局限性,然后针对这些问题提出了完善礼貌原则的策略即国际合作、引入制约条件和引入听者模式,并对礼貌原则的发展可能性进行了预测,以期促进对礼貌原则的深刻理解和有效使用,最终达到和谐交流的目的。     

Hilbert空间中的g-Riesz基序列

在复Hilbert空间中,根据g-框架的概念及其相关性质,引进了g-Riesz基序列的概念,并得到了若干g-Riesz基序列的性质.另外,利用g-Riesz基序列的性质证明了g-Riesz基的稳定性.     

不同总糖浓度木薯全渣乙醇分批发酵过程的研究

为研究不同初始总糖浓度对木薯全渣乙醇发酵过程中糖消耗、酵母细胞生长以及乙醇积累的影响,采取分批发酵方式,间隔6 h取样检测.结果表明：初始总糖浓度253.75 g/L时,发酵效率最高（88.93%）,乙醇生成速率、糖消耗速率、酵母数在初总糖浓度183.75 g/L时最大,分别为7.10 g/（L·h）,13.88 g/（L·h）,4.94×108个/mL;提高初始总糖浓度,糖消耗的终点时间、酵母生长到达最大值的时间、乙醇发酵时间延长,糖消耗速率、糖利用、酵母数、乙醇生成速率下降,乙醇发酵效率先升高后下降.     

瓶坯自动检测计数机的设计及研制

针对某塑料制品厂生产需要,完成对其塑料瓶坯专用设备的设计研制过程。设备通过触摸屏与PLC控制相关机构,实现瓶坯的整理、计数、检验、装箱等一系列功能,具有生产效率高、检验精度高及数量实时显示等特点,实现了生产过程的自动化与智能化控制。     

Finite difference method for dynamic response analysis of anchorage system简

Based on some assumptions, the dynamic analysis model of anchorage system is established. The dynamic governing equation is expressed as finite difference format and programmed by using MATLAB language. Compared with theoretical method, the finite difference method has been verified to be feasible by a case study. It is found that under seismic loading, the dynamic response of anchorage system is synchronously fluctuated with the seismic vibration. The change of displacement amplitude of material points is slight, and comparatively speaking, the displacement amplitude of the outside point is a little larger than that of the inside point, which shows amplification effect of surface. While the axial force amplitude transforms considerably from the inside to the outside. It increases first and reaches the peak value in the intersection between the anchoring section and free section, then decreases slowly in the free section. When considering damping effect of anchorage system, the finite difference method can reflect the time attenuation characteristic better, and the calculating result would be safer and more reasonable than the dynamic steady-state theoretical method. What is more, the finite difference method can be applied to the dynamic response analysis of harmonic and seismic random vibration for all kinds of anchor, and hence has a broad application prospect.     

A hardware-based algorithm for virtual machine provisioning in a private cloud

Cloud computing is becoming a key factor in the market day by day. Therefore, many companies are investing or going to invest in this sector for development of large data centers. These data centers not only consume more energy but also produce greenhouse gases. Because of large amount of power consumption, data center providers go for different types of power generator to increase the profit margin which indirectly affects the environment. Several studies are carried out to reduce the power consumption of a data center. One of the techniques to reduce power consumption is virtualization. After several studies, it is stated that hardware plays a very important role. As the load increases, the power consumption of the CPU is also increased. Therefore, by extending the study of virtualization to reduce the power consumption, a hardware-based algorithm for virtual machine provisioning in a private cloud can significantly improve the performance by considering hardware as one of the important factors.     

一类非线性微分差分方程整函数解

选取炭黑、谷壳灰、绢云母、蒙脱土、凹凸棒石和硅灰石等6种不同形态的无机填料,采用液态成型工艺,制备了无机填料／丁腈橡胶硫化胶,研究了无机填料对丁腈橡胶的力学性能、交联密度、耐燃料B性、耐油性、耐热老化性和微观形貌等特性的影响。结果表明：加入炭黑后,硫化胶的综合性能最佳;加入蒙脱土后,硫化胶的交联密度增至2．49×10^-4mol/cm3,三维交联程度增幅最大;加入凹凸棒石后,硫化胶在燃料B中质量变化率、体积变化率降至同比最低,对耐燃料B性能改善幅度最大;加入硅灰石后,硫化胶在油性环境中的质量、体积变化率、硬度变化最小,对耐油性改善最多;加入绢云母后,硫化胶在热空气氛围下质量变化率、体积变化率和硬度变化同比最小,对耐热老化性能改善幅度最大。     

基于Halcon的IC测试探针表面质量的机器视觉检测系统

IC测试是集成电路生产中的重要工序,探针表面诸如划痕、凹坑等缺陷对性能测试结果影响大.文章研究了IC探针表面质量的机器视觉检测方法,讨论了灰度变换、均值滤波、区域连通、图像分割等缺陷图像处理和形状识别方法,建立了相应的探针表面质量检测系统,并基于机器视觉软件Halcon开发了探针表面质量检测系统软件.实验表明:开发的检测系统可对直径0.3~0.6 mm的IC测试探针表面质量进行快速检测评估,且系统的稳定性好、检测精度高,能有效缩短检测时间和减少检测成本.     

SADE-ELM电容层析成像流型辨识算法

针对电容层析成像反问题流型识别较难的问题,提出了一种新的ECT流型辨识算法——差分演化优化极端学习机算法,进而提出了基于自适应差分演化优化极端学习机(Sa DEEML)的ECT辨识算法.在论述极端学习机算法的基础上,结合差分演化算法对极端学习机算法进行优化,自适应差分演化算法中的关键参数,通过训练得到各类流型的分类器的参数,构造分类器进行精准与快速分类.实验结果表明:该算法能有效克服极端学习机算法的缺点并提高了局部与全局收敛能力,通过与BP、SVM算法比较,该算法具有竞争力,并为电容层析成像流型辨识的研究提供了新算法.