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。     

基于校园网环境下机房总管Ⅱ系统的设计与实现

本文介绍了一种基于校园网实现机房自动化管理系统的设计思路与实现方法.该系统用助于提高机房的管理水平、使用效率与管理质量.     

多泵多塔多节点的供水系统水泵工况点的确定

本文针对多泵多塔多节点的供水系统,给出用迭代计算确定水泵工况的计算方法,并给出在电子计算机上实现上述计算的程序的步骤。     

双腔气制动阀动静特性的微机测控系统

介绍了汽车制动阀性能的测试方法及其技术实施。该制动阀微机集散检测系统是工业环境下的机、电、液（气）一体化的机构组合，可满足在线生产的工艺检测要求，测量精度可达０．５％。     

环丙沙星分子印迹聚合物自组装体系的分子模拟

以环丙沙星（CIP）为印迹分子,甲基丙烯酸（MAA）、4-乙烯基吡啶（4-Vpy）为功能单体,运用量子化学密度泛函理论（DFT）的LC—WPBE方法和6—31G（d,P）基组,模拟CIP印迹分子与MAA、4-Vpy两种功能单体分子印迹聚合物自组装体系的构型,讨论了其稳定复合物的成键作用位点及数目、NBO电荷的转移及反应的结合能,探讨了CIP与两种功能单体之间相互作用的原理及分子印迹中溶剂的影响。模拟计算结果表明,CIP印迹分子哌嗪环上的N、喹啉羧酸上的H和O与两种功能单体均通过氢键作用形成在化学基团及空间结构上相互匹配的有序复合物;两种功能单体中MAA与CIP印迹分子间的相互作用更强,且在印迹比例为1：6,以甲苯为溶剂时,合成的复合物能量最低,对CIP的吸附性和识别能力更强。该分子模拟试验可为CIP分子印迹聚合物的进一步研究提供理论参考。     

计算机视觉技术在智能养猪中的研究进展

计算机视觉是人工智能的重要发展方向,可以显著改善人与世界的交互方式,加强计算机视觉技术在智能养猪中的研究和应用必将为养猪业带来一场变革。本文综述了计算机视觉技术在猪只识别、行为监测、体尺测量、体重估测、肉品质评定、疾病监测等方面的研究进展,以期促进我国养猪业的智能化发展。     

Two anatomic resources of canine pelvic limb muscles based on CT and MRI

Advances in magnetic resonance (MR) imaging and three-dimensional (3D) modeling software provide the tools necessary to create sophisticated, interactive anatomic resources that can assist in the interpretation of MR images of extremities, and learning the structure and function of limb musculature. Modeling provides advantages over dissection or consultation of print atlases because of the associated speed, flexibility, 3D nature, and elimination of superimposed arrows and labels. Our goals were to create a diagnostic atlas of pelvic limb muscles that will facilitate interpretation of MR images of patients with muscle injury and to create a 3D model of the canine pelvic limb musculature to facilitate anatomic learning. To create these resources, we used structural segmentation of MR images, a process that groups image pixels into anatomically meaningful regions. The Diagnostic Atlas is an interactive, multiplanar, web-based MR atlas of the canine pelvic limb musculature that was created by manually segmenting clinically analogous MR sequences. Higher resolution volumetric MR and computed tomography (CT) data were segmented into separately labeled volumes of data and then transformed into a multilayered 3D computer model. The 3D Model serves as a resource for students of gross anatomy, encouraging integrative learning with its highly interactive and selective display capabilities. For clinicians, the 3D Model also serves to bridge the gap between topographic and tomographic anatomy, displaying both formats alongside, or even superimposed over each other. Both projects are hosted on an open-access website, http://3dvetanatomy.ncsu.edu/     

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.     

基于计算机视觉技术的番茄叶部病害识别研究

针对番茄叶部病害的计算机识别问题进行深入研究,建立一套基于适用于番茄病害的颜色特征提取、纹理特征识别等模式识别方法,确定与病理对应的特征和特征组合模式,在此基础上进行了仿真研究和对比试验,结果表明,该方法能有效提高番茄叶部病害的自动识别水平。     

森林资源档案管理系统的设计与实现

本文以加强森林资源档案管理的需要出发，分析了资源档案管理系统，在此基础上提出计算机管理系统的主要设计，介绍了相应软件系统。