A comparative evaluation of foreground/background sketch-based mesh segmentation algorithms

This paper presents an extensive comparative evaluation of five popular foreground/background sketch-based interactive mesh segmentation algorithms, addressing the quantitative assessment of the accuracy, efficiency, and stability of each algorithm. To facilitate the comparison, we have developed a complete framework with an intuitive and simple sketch-based interface to enable interactive mesh segmentation by marking strokes to specify the foreground and background with the mouse buttons, allowing us to quantify the algorithms in a unified manner. The evaluation has been performed via extensive user experiments in which each participant was assigned to segment models with the evaluated algorithms and the corresponding update of each segmentation was recorded as a new refinement when additional interactions were added. We then collected the segmentations from participants and evaluated them against the ground-truth corpus constructed from the Princeton segmentation database. To investigate how well the interactive segmentations match the ground-truth, five metrics were used to measure the boundary and region accuracy of segmentations. By studying the experimental results, we have analyzed the performance of the evaluated algorithms and provided valuable insights into their characteristics.     

Comparison of multiple linear regression and artificial neural network in developing the objective functions of the orthopaedic screws

Optimizing the orthopaedic screws can greatly improve their biomechanical performances. However, a methodical design optimization approach requires a long time to search the best design. Thus, the surrogate objective functions of the orthopaedic screws should be accurately developed. To our knowledge, there is no study to evaluate the strengths and limitations of the surrogate methods in developing the objective functions of the orthopaedic screws. Three-dimensional finite element models for both the tibial locking screws and the spinal pedicle screws were constructed and analyzed. Then, the learning data were prepared according to the arrangement of the Taguchi orthogonal array, and the verification data were selected with use of a randomized selection. Finally, the surrogate objective functions were developed by using either the multiple linear regression or the artificial neural network. The applicability and accuracy of those surrogate methods were evaluated and discussed. The multiple linear regression method could successfully construct the objective function of the tibial locking screws, but it failed to develop the objective function of the spinal pedicle screws. The artificial neural network method showed a greater capacity of prediction in developing the objective functions for the tibial locking screws and the spinal pedicle screws than the multiple linear regression method. The artificial neural network method may be a useful option for developing the objective functions of the orthopaedic screws with a greater structural complexity. The surrogate objective functions of the orthopaedic screws could effectively decrease the time and effort required for the design optimization process.     

LTE上行DFT/IDFT的一种设计实现

根据3GPP协议规定,提出一种适于FPGA实现的解决方案。采用分而治之和WFTA的算式分解,最大限度地减少DFT的运算量;采用块浮点动态截取多余位宽,减少系统面积;运用4个双端口RAM读写,使系统能运行在流水线结构;采用对称结构存储每一级的旋转因子,最大化共享因子。     

浅谈RSA数字签名技术在综合船桥系统中的应用

随着Internet的快速发展,网络在综合船桥系统中得到了广泛的应用。在享受网络带来的便利的同时,它的各种弊端也日益显露,如网上数据传输的完整性等问题。为了很好地解决这一问题,将RSA数字签名和数字摘要应用于综合船桥系统中。在保证数据安全传输的同时,很好地验证了数据的完整性,同时完成了发送方的身份验证。     

数学分离-多波长直线回归法测定鼻炎滴剂中的黄芩苷和盐酸麻黄碱

鼻炎滴剂是中西复方制剂,主要成分有黄芩苷、盐酸麻黄碱、金银花、辛夷油、冰片等.本文研究建立了数学分离-多波长直线回归法,用于测定鼻炎滴剂中黄芩苷和盐酸麻黄碱的含量.黄芩苷和盐酸麻黄碱的最大吸收波长分别为278.0 nm和257.0 nm,将2组分吸收强度较大的242.0 nm～283.0 nm选为测定范围.在测定范围内选择42个点进行测定,使用数学分离-多波长直线回归方法计算分析,直接测定了鼻炎滴剂中的黄芩苷和盐酸麻黄碱含量.本文研究使用的市售鼻炎滴剂中2种药效成分的平均回收率和相对标准偏差分别为102.0％,0.86％和98.2％,0.87％.数学分离-多波长直线回归法简单、快速、准确、适用于鼻炎滴剂的质量控制过程.     

C语言在化工原理离心泵特性曲线测定中的应用

离心泵特性曲线的测定是化工原理的重要内容,涉及到伯努利方程和连续性方程在流体流动中的实际应用,公式复杂,计算量大.本文利用C语言的强大结构化编程和计算功能,处理了“离心泵特性曲线的测定”实验数据,给出了程序设计的思路和方法,得到了离心泵的特性曲线.从曲线可以看出,随着流量的增大,离心泵的压头减少,轴功率升高,和教材完全一致.而离心泵的效率随流量增大而增大,并未出现先增大后减小的情况,可能是由于流量较小所导致.通过分析曲线可以得到离心泵操作相关的知识,离心泵必须在流量较小的区域工作才能获得较大的压头,大流量的离心泵需要配置大功率的电机,离心泵启动之前应关闭出口阀等.此外还发现压力表和真空表的读数随流量的增大而变小,解释了此现象.该程序结构简单,维护方便,通过简单修改可用于处理其它化工原理实验的数据,充分发挥了C语言的特长来解决化工原理计算复杂的特点.     

天然气净化脱硫系统模拟与优化方案

针对陕北某天然气净化厂因靖边气田开发规模不断增大,致原料气中酸性组分含量较设计值高、生产系统故障频繁,本文选择Deshmukh-Mather方程作为理想的热力学模型和DESIGNⅡ软件全流程模拟MDEA溶液循环量提高后的脱硫系统,以确定需要核算的相关设备,最后利用FRI和HTRI等专业软件校核其优化前后的运行状况。结果表明,胺液吸收塔和再生塔的流体力学性能均符合要求,其工作点亦落在塔盘负荷性能图的中部适当位置;在现有浮头式胺液贫富液换热器的基础上,串联地增加1台同型号、同尺寸的换热器,并适当调整其换热管规格即可达到指定的换热要求,解决堵塞现象;用增加换热管管束、翅化换热管表面、提高热媒流率与进口温度等多种手段,均可提高胺液重沸器的换热效果。     

中英文文本分类系统异同因素的探讨

论文介绍了文本分类技术的研究进展及发展方向,给出了中英文文本分类系统构建的一般模型和过程,分析总结了中英文文本分类过程中的异同,并介绍了针对这些异同因素常用的处理方法。     

智能卡的研究与发展

综述了智能卡及ＪＡＶＡ卡的相关技术,智能ＩＣ卡由硬件和操作系统组成 ,可理解成一个计算机系统,智能ＩＣ卡有着完善的安全技术体制,安全性是其最大的特点,近年来,Ｊａｖａ技术与智能卡技术的结合产生了Ｊａｖａ卡,Ｊａｖａ卡是一种新型的智能卡,它基于Ｊａｖａ语言和Ｊａｖａ卡虚拟机ＪＣＶＭ（Ｊａｖａ Ｃａｒｄ Ｖｉｒｔｕａｌ Ｍａｃｈｉｎｅ）,是智能卡发展的方向。     

在MATLAB环境下创建C/C~( )外部应用程序的方法

介绍了利用 MATL AB编译器和 MATL AB的 C/ C Math函数库以及C/ C 编译器生成 C/ C 应用程序的优点及具体的编译链接流程 ,并通过实例分析了创建 C/ C 应用程序的方法。