基于MCGS的洗油空穴反应实验装置计算机控制系统设计

介绍了基于MCGS的洗油空穴反应实验装置远程计算机自动控制系统的硬件、软件设计及其实现过程,为后续进一步的研究工作提供理论和实践基础。     

基于UG软件的手机模具设计及数控加工仿真

数控设备在加工制造精密复杂零件方面得到了广泛应用.数控加工要达到预期的加工效果,需要编制高质量的数控程序.重点介绍了UG软件中模具设计及数控加工模块,通过手机实例分析了设计、加工步骤.利用UG软件进行数控加工,可以方便建立实体模型,直观观察刀具的运动过程,提高程序的正确性和安全性,提高工作效率.     

A Reference Architecture to support the development of mobile applications based on self-adaptive services

Nowadays, most human daily tasks can be performed by means of Mobile Applications (MobApps). Devices running such applications have some limitations (e.g., processing and storage) compared to personal computers. Therefore, integration of MobApps into service-based systems has been a feasible alternative to overcome these limitations. Moreover, these applications must be prepared to deal with the changes at runtime (e.g., user’s new needs or modifications in their execution environment). In parallel, Reference Architectures (RA) have been used as an important way to support the development, standardization, and evolution of software systems. Although relevant, RA for the domain of MobApps based on services that require adaptation at runtime is still an issue to be explored in depth. This paper presents a RA for Self-MobApps (named RA4Self-MobApps), which aims to support the development of such applications. To show the applicability of our RA, a case study was conducted. As result, we observe our RA has good perspective to efficiently contribute to the Self-MobApps domain.     

基于卷积神经网络的构件分类策略的研究

为了提高软件复用过程中构件检索的效率，分析了软件构件分类技术的优缺点以及构件特征，从构件刻面信息的角度，采用卷积神经网络技术，提出一种基于卷积神经网络的构件分类策略；利用卷积神经网络对构件刻面特征进行提取，减少人为因素，提高刻面信息提取精确性，并训练出基于卷积神经网络的构件分类模型，通过具体的实验，来论证该模型的准确性，以达到提高构件检索效率的目的。     

Learning about distillation curves as a way to define a process stream from crude petroleum

The advanced courses of Separation Processes use to include some reference to the different types of distillation curves, such as the True Boiling Point (TBP) curves, in order to characterize crude petroleum or its derivatives. The concept of pseudocomponents as well as the way to extract them from a TBP curve can be easily understood by reading classical bibliographic references. Chemical process simulation software packages serve as a useful tool that, once the desired number of pseudocomponents to be considered has been specified, automatically generate them. Nevertheless, the lack of correspondence between cuts of a TBP curve and zones with slight temperature changes makes difficult to identify pseudocomponents and to decide on the adequate number of pseudocomponents to be defined. In this work, a very simple exercise is proposed to introduce the idea of TBP distillation curves in the classroom and to explore their characteristics through the analysis of the influence of the number of extracted pseudocomponents.     

基于CDEGS软件设计的下水库接地网改造

本文利用CDEGS软件,对天荒坪抽水蓄能电站水库区域的土壤及岩石等地质参数进行分析和拟合,并构建土壤的分层模型;然后通过对地网的网格大小、导体的疏密程度、接地网的面积、水平接地体的长度等因素进行经济比较和优化分析,设计出了符合安全标准的水下接地网。结果表明:水下接地网的设计满足设计要求,达到了改善接地网参数性能的目标。     

基于启发式BP算法的软件缺陷预测模型

针对软件缺陷预测时缺陷数据集中存在的类别分布不平衡问题，结合上采样算法SMOTE与Edited Nearest Neighbor (ENN) 数据清洗策略，提出了一种基于启发式BP神经网络算法的软件缺陷预测模型。模型中采用上采样算法SMOTE增加少数类样本以改善项目中的数据不平衡状况，并针对采样后数据噪声问题进行ENN数据清洗，结合基于启发式学习的模拟退火算法改进四层BP神经网络后建立分类预测模型，在AEEEM数据库上使用交叉验证对提出的方案进行性能评估，结果表明所提出的算法能够有效提高模型在预测类不平衡数据时的分类准确度。     

基于星座图对射频指纹识别方法的研究

针对星座图的射频(RF)指纹识别方案中,低信噪比环境下识别准确率低的问题,提出一种基于欧式距离与幅度距离的二维识别算法来进行RF指纹识别。该方案通过对星座图进行优化处理,可从优化后的星座图中提取识别性能更好的RF指纹,再通过二维识别算法来提高识别准确率。仿真结果表明:与仅用欧式距离作为判断依据的方法相比,所提出的二维识别算法的识别准确率最高可提升8%,在设备容量为50组的情况下识别准确率为77.8%,并且从优化后的星座图中所提取的RF指纹具有更好的唯一性和稳定性。     

干湿联合冷却塔冷却节水分析软件开发及应用

为实现对干湿联合冷却塔冷却特性、节水特性的综合分析，编制干湿联合冷却塔校核计算流程，基于Visual Studio开发平台，本文开发了干湿联合冷却塔冷却节水特性分析优化软件。通过对某在运干湿联合冷却塔进行冷却节水特性计算，验证了所开发软件计算结果的准确性；在消雾节水计算结果基础上，对标干湿联合消雾冷却塔验收测试规程，生成其成雾频率曲线、耗水量曲线、塔雾指数、冷却特性曲线，综合分析其消雾特性、节水特性及冷却特性，从而确定了干湿联合冷却塔的最佳运行工况。同时运用所开发软件对比分析了某冷却塔设计干段散热面积对其消雾特性、节水特性及冷却特性的耦合影响，并分析了百叶窗开度对干湿联合冷却塔性能的影响，为干湿联合冷却塔的运行优化和设计优化提供了工具性软件支持。     

一种射频抗电磁干扰的矿用红外温度传感器

设计了一种适用于复杂条件下实施井下温度探测的射频式红外温度传感器。借助于光学系统、光电探测器实时感应井下温度并提取温度信号,同时在DC-DC电源隔离模块中实施EMI滤波以抗电磁干扰,处理后的信号经过A/D转换、运算器放大后显示在LCD上,实施读取数据并记录在传感器的存储片上,实现了矿井复合灾害条件下的温度测试,测试精度控制在±2%。