计算机犬病诊断原理

本研究模拟人类专家的诊断过程,对常见犬病用计算机进行诊断模拟,试验建立了犬病诊断的计算机处理系统(QBZD)。本文主要阐述了QBZD系统的结构构成、诊断机理及操作应用     

电脑图象分析在油菜及其近缘植物染色体研究中的应用

作者使用电脑图象分析仪对油菜及其近缘植物的9个种、50个品种作了染色体图象分析，并将上述植物的核型数据输入贮存在电脑中，初步建立了油菜及芸苔属植物核型分析数据的电脑数据库。在此基础上，作者讨论了油菜及芸苔属植物染色体电脑图象分析和电脑数据库在油菜基础理论研究和育种实际工作中的利用价值。     

更新林相图的计算机辅助方法

常规编制与更新林相图的方法要求昂贵的光学机械纠正仪器、较高的操作技术和成本。文章提出一种利用计算机辅助纠正航空象片更新林相图的方法,可以降低成本,提高成图效率。为了实现这种方法,首先根据航空摄影理论分析,推导出适合编程的航空纠正数字化线性模型和算法。该模型要求在底图和航片上有四对控制点坐标,求算纠正参数。采用数字化仪测定这些坐标,求解参数,然后根据该线性模型对航片上编图要素的数字化坐标进行非共面变换,进而更新林相图。为完成这一过程需要四个程序模块和处理流程。使用这种方法更新林相图既能保证精度要求,又具有操作简单的优点。     

Assessing exterior egg quality indicators using machine vision

ABSTRACT

1. The objective of this study was to develop a machine vision method for analysing exterior parameters of chicken eggs to automate the stage of primary sorting.

2. The developed algorithm based on predetermined thresholds calculated egg quality indicators, including geometric dimensions, shape index and the mottling grade. The algorithm was implemented with an experimental setup that combined the image-based and the candling methods. A total of 400 egg samples were analysed.

3. Comparison of results of the algorithm with those obtained using the traditional manual method showed that mean value of radii values difference was 0.095 ± 0.058 mm for the sharp and 0.080 ± 0.047 mm for the blunt end of the egg, with standard deviations of 0.58 mm and 0.49 mm, respectively.

4. The correlation coefficient between the shape index values determined by the two methods was 0.93; the standard deviation of absolute differences between corresponding values was 1.05%.

5. The results of mottling grade estimation were compared using F-measure and confusion matrix.

6. The results allow the possibility to perform the assessment of egg exterior quality factors in an automatic mode, independent of the expertise of a grader.     

A computer vision system for oocyte counting using images captured by smartphone

This work proposes a computer vision procedure for counting Twospot astyanax (Astyanax bimaculatus) oocytes in Petri dishes using images captured by smartphone. First, the proposed procedure uses simple linear iterative clustering (SLIC) to divide the images into groups of pixels (superpixels). Then, based on their color and space characteristics, the images are classified into light background, dark background, dirt, or oocyte by a machine learning algorithm. Five different types of machine learning algorithms were tested: support vector machines (SVM), decision trees using the algorithm J48 and random forest, k-nearest neighbors (k-NN), and Naive Bayes. To train the algorithms, 8.578 superpixels were classified by an expert into oocyte (n = 354), dirtiness (n = 651), dark background (n = 3.622), and light background (n = 3.951). Of the five learning algorithms, SVM obtained the best result with 97% correct oocyte recognition. Given the wide availability of smartphones, we therefore conclude that the presented procedure can be a valuable tool in future experiments and studies on fertilization and hatching success in Twospot astyanax.     

中职《计算机应用基础》课程的教学探讨

《计算机应用基础》是中等职业学校各专业学生必修的公共基础课程,也是学习其他计算机相关技术课程的基础课程。针对学生在学习中和教师在讲课时遇到的问题,本文提出了完善这门课程教学和学习的相应对策。     

关于农业工程类计算机网络课程教学的改革与探索

随着社会信息化进程的加快和对农业院校人才培养模式改革的迫切需要,围绕如何提高学生利用网络的能力,增强业务素质这一主题,从教学内容、教学方法及教学手段等方面进行了改革和探索,收到了良好的效果。     

关于计算机基础课实行无纸化考试的几点思考

非计算机专业计算机基础课程面向所有非计算机专业学生,考试覆盖范围广、规模大,实行无纸化考试是一种必然趋势。该文分析了高校计算机基础课程无纸化考试的优越性,提出了无纸化考试系统的要求,并对所存在的问题进行了分析。     

家装业定制家具设计与计算机集成制造系统中的问题探析

定制家具已经成为追求个性化和私密家居环境者的一个方向,但其多变性较强,在工业化生产过程中很难实现“无缝式”衔接,从而导致部分家装业定制家具的设计方案与家具产品之间产生差异。介绍了家装业定制家具的主要特征,论述了计算机集成制造家具的基本模式,具体分析了家装业定制家具设计与计算机集成制造系统中的衔接问题,有针对性地提出优化家具设计与计算机制造系统衔接的三项措施。     

灌水器注塑模浇注系统计算机辅助设计

根据灌水器注塑模非平衡浇注系统的特点，给出了非平衡浇注系统的流动平衡数学模型，通过基于Pro／toolkit的二次开发，在Pro／E软件平台上实现了非平衡浇注系统的流动平衡计算及其自动生成，避免了反复的试模与修改，提高了设计效率，降低了生产成本。