AutoCAD作图技巧浅析

介绍了AutoCAD中作图的原则、步骤以及使用技巧,包括AutoCAD表格制作、在Word文档中插入AutoCAD图形、线宽修改、图形的打印技巧、选择对象的一些技巧、绘制局部放大图的方法等,对大多数AutoCAD的使用者在学习和应用中有很大帮助。     

浅析AutoCAD绘图中的比例

在利用AutoCAD绘图过程中，涉及许多有关的比例，只有弄清各种比例的使用方法和设置，才能使我们的绘图工作更为便利、顺畅，大大地提高绘图水平和绘图效率。     

双抽机组工况图的画法分析

双抽机组热-电负荷关系非常复杂，运行人员难于分配。介绍一种较精确的工况图画法，可以为电厂运行人员提供可靠的基础。     

GaAsP混晶中Fe杂质能级的无序分裂

GaAsP混晶中Fe杂质基态与激发态的光离化截面的幅度比S(x)随组分x有规律地变化,本文提出一种理论估算,认为它是Fe能级无序分裂的结果.     

深基坑重力式沙袋堆叠挡土工程的实践

本文介绍了湛江金辉煌综合楼工程的深基坑应用沙袋堆叠作挡土结构的设计与施工     

钢的等温加热奥氏体形成图（IHT）的计算机绘制软件

ＩＨＴ图是制定钢的热处理工艺的重要依据。本软件对所测数据进行分段抛物处理，实现珠拟合，用ＢＡＳＩＣ语言设计出具有在半对数坐标系下绘制ＩＨＴ图的软件，再与ＡＵＴＯＣＡＤ联接，在ＣＡＤ软件支持下，自动绘出精确、实用。美观的ＩＨＴ图，本文重点介绍了ＩＨＴ软件的设计原理，特点及工作环境。     

VxWorks下PCI9054显卡图形开发库的实现

介绍了一种基于VxWorks操作系统的PCI9054显卡的图形开发库,实现了基本绘图功能,汉字和字符的显示功能,以及贴图存图的功能,满足综合显示的需求。     

Seasonal variation in light penetration and subsurface chlorophyll-α in southern Lake Michigan observed by a glider

The Cooperative Institute for Great Lakes Research (CIGLR) in collaboration with the Great Lakes Observing System and National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory (NOAA GLERL) deployed an autonomous underwater glider in southern Lake Michigan several times per year between 2012 and 2019 to collect offshore (>30 m depth) limnological measurements, including temperature, photosynthetically active radiation (beginning during 2015), and chlorophyll-α fluorescence. From these data, we calculated mixed layer depth, several measures of light penetration (diffuse attenuation coefficient, first optical depth, euphotic zone depth), and depth of the subsurface chlorophyll-α maxima. During summer, mean offshore mixed layer depth was typically 10–15 m, K_d for PAR was 0.1–0.17 m^?1, first optical depth was 6–9 m, euphotic zone depth was 35–40 m, and depth of subsurface chlorophyll-α maxima was 30–35 m. We also observed substantial spatial and temporal variation in these values across the basin and within and among seasons. Glider-based observations provide a wider horizontal and vertical perspective than other methods (e.g., ship- and satellite-based observations, buoys, and fixed moorings), and are therefore a valuable, complementary tool for Great Lakes limnology. The set of observations reported here provide seasonal and basin-scale information that may help to identify anomalies useful for future glider-assisted investigation into the role of biophysical processes in Great Lakes limnology and ecology.     

砷化镓材料中EPR“As_(Ga)”的退火行为

本文比较了中子辐照。压缩变形和原生LEC砷化镓等三种不同来源样品的EPR“As_(Ga)”的Hamiltonian参数。并系统地研究了EPR“As_(Ga)”的浓度和低温光猝灭行为随退火温度的变化,从而进一步验证了EPR“As_(Ga)”的本性,即除孤立As_(Ga)反位原子外,还可能包括As_(Ga)的一些空位络合物。这些不同本性的EPR“As_(Ga)”缺陷及其它有关的缺陷在样品热处理过程中可能相互转化。按照物理化学中Le Chatlier原理,缺陷的原始浓度和晶体内部应变能似应是引起这些转化反应的重要因素。     

LPNet: A DNN based latency prediction technique for application mapping in Network-on-Chip design

Analytical models used for latency estimation of Network-on-Chip (NoC) are not producing reliable accuracy. This makes these analytical models difficult to use in optimization of design space exploration. In this paper, we propose a learning based model using deep neural network (DNN) for latency predictions. Input features for DNN model are collected from analytical model as well as from Booksim simulator. Then this DNN model has been adopted in mapping optimization loop for predicting the best mapping of given application and NoC parameters combination. Our simulations show that using the proposed DNN model, prediction error is less than 12% for both synthetic and application specific traffic. More than 108 times speedup could be achieved using DPSO with DNN model compared to DPSO using Booksim simulator.