基于ARM和UCGUI的温棚环境监控系统的设计

介绍了一种基于STM32微控制器的低功耗、高性能的温棚环境显示终端的解决方案,阐述了UC/OS操作系统以及UCGUI图形界面系统在STM32上的移植以及人机交互界面的实现.证明了该系统操作简单,便于升级,能实现温湿度以及光度数据的波形显示,同时能实现良好的人机交互.     

Two‐dimensional sectioned images and three‐dimensional surface models for learning the anatomy of the female pelvis

In the Visible Korean project, serially sectioned images of the pelvis were made from a female cadaver. Outlines of significant structures in the sectioned images were drawn and stacked to build surface models. To improve the accessibility and informational content of these data, a five‐step process was designed and implemented. First, 154 pelvic structures were outlined with additional surface reconstruction to prepare the image data. Second, the sectioned and outlined images (in a browsing software) as well as the surface models (in a PDF file) were placed on the Visible Korean homepage in a readily‐accessible format. Third, all image data were visualized with interactive elements to stimulate creative learning. Fourth, two‐dimensional (2D) images and three‐dimensional (3D) models were superimposed on one another to provide context and spatial information for students viewing these data. Fifth, images were designed such that structure names would be shown when the mouse pointer hovered over the 2D images or the 3D models. The state‐of‐the‐art sectioned images, outlined images, and surface models, arranged and systematized as described in this study, will aid students in understanding the anatomy of female pelvis. The graphic data accompanied by corresponding magnetic resonance images and computed tomographs are expected to promote the production of 3D simulators for clinical practice. Anat Sci Educ 6: 316–323. © 2013 American Association of Anatomists.     

基于ANP模型的供应链界面管理能力评价研究

供应链组织单元之间存在大量的界面,界面管理能力影响着供应链长期竞争优势。在阐述供应链界面运作活动与外部环境的基础上,分析了各因素之间的关联关系,并构建了供应链界面管理能力评价的网络层次分析(ANP)分析模型。用超级决策软件计算建立了ANP收敛超矩阵,最后通过虚拟企业的示例对供应链界面管理能力进行了评价。     

固体电解质型NH3传感器综述

NH₃作为一种常见的大气污染气体,具有高毒性和腐蚀性,因此,开发高灵敏度和高选择性的NH₃传感器对排放源(或环境)进行检测,对于改善环境和安全防护较为重要。文章介绍了几种固体电解质型NH₃传感器的工作原理,并对相关的研究进展进行了总结和归纳,对不同种类敏感材料的特点及其应用进行了详细介绍,同时总结了构建高效三相界面的方法及参比电极对传感器性能的影响。     

重探林纾—魏易合作翻译模式

林纾—魏易合作翻译的＂林译小说＂作品中,学界历来认为林纾处于主体性地位,而魏易作为此模式的中介口述者,作用往往被忽略。借助学界研究的热点——界面研究,重新探讨林译小说中合作双方的作用和地位,认为在林纾和魏易合作翻译模式下,语内翻译和语际翻译相辅相成,缺一不可。林纾和魏易在林译小说中扮演着同等重要的角色,两者中的任何一方缺场,都不会有林译小说在中国翻译史上的奇迹。     

基于AutoLisp齿轮参数化绘图命令的二次开发

对机械设计中常用的齿轮参数化绘图系统的Lisp二次开发进行了分析,给出了整体功能设计的开发步骤,涵盖了齿轮绘图命令用户界面的自定义方法,基于AutoLisp圆柱齿轮、圆锥齿轮和蜗轮蜗杆参数化绘图命令的设计思路和基本尺寸参数输入方式几个方面;给出了基于DCL语言的单个齿轮零件图和齿轮啮合图的对话框参数输入界面的设计和基于AutoLisp参数化绘图命令二次开发的程序设计方法及关键程序段,并给出具体的应用实例。     

TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI

Brain–computer interface (BCI) is a promising intelligent healthcare technology to improve human living quality across the lifespan, which enables assistance of movement and communication, rehabilitation of exercise and nerves, monitoring sleep quality, fatigue and emotion. Most BCI systems are based on motor imagery electroencephalogram (MI-EEG) due to its advantages of sensory organs affection, operation at free will and etc. However, MI-EEG classification, a core problem in BCI systems, suffers from two critical challenges: the EEG signal’s temporal non-stationarity and the nonuniform information distribution over different electrode channels. To address these two challenges, this paper proposes TCACNet, a temporal and channel attention convolutional network for MI-EEG classification. TCACNet leverages a novel attention mechanism module and a well-designed network architecture to process the EEG signals. The former enables the TCACNet to pay more attention to signals of task-related time slices and electrode channels, supporting the latter to make accurate classification decisions. We compare the proposed TCACNet with other state-of-the-art deep learning baselines on two open source EEG datasets. Experimental results show that TCACNet achieves 11.4% and 7.9% classification accuracy improvement on two datasets respectively. Additionally, TCACNet achieves the same accuracy as other baselines with about 50% less training data. In terms of classification accuracy and data efficiency, the superiority of the TCACNet over advanced baselines demonstrates its practical value for BCI systems.     

焦炭气孔率测定监控系统的设计

焦炭气孔率是焦炭的重要技术指标,其测定方法已形成国家标准.设计了基于S7-200PLC和MCGS触摸屏的焦炭气孔率真空法测定监控系统,介绍了系统的硬件配置、控制策略和设计特点.该系统可靠性高,操作简单,监控方式多样.     

微机原理与接口技术实验教学改革探讨

实验教学是课程教学中不可缺少的一个重要环节,针对微机原理与接口技术实验教学现状,从实验内容和方法、教材、考核方法、管理模式4个方面出发,提出一些改革思路。     

基于家族相似性的命题模式分析

命题模式因语言不同而不同,且受到语言文化、观察视角、思维模式等因素的制约。如现代汉语就是按照时间顺序和由大到小,由高到低的顺序进行排列的。命题模式体现了不同范畴的接口关系。范畴接口限制了范畴成员以及子范畴在各个范畴间的自由流动和分配。一个成员划分到哪个范畴,是由视角接口和文化范式来决定的。