上部单烧嘴长坑均热炉改造试验研究

介绍了在上部单烧嘴长坑均热炉上，通过采用增加辅助烧嘴和辐射多孔体的改造措施，使炉温均匀，加热质量提高，并实现了节能降耗。     

复杂串联制造系统仿真器的研究

介绍了一种专用于复杂制造系统的仿真器，并着重介绍了该仿真器的结构与功能、仿真器的动态仿真原理、动画显示原理等。这种仿真器已成功地应用在上海柴油机股份有限公司D114系列柴油机机体生产线的规划设计中。     

基于图形化编程语言LabVIEW的虚拟仪器开发

本文介绍了虚拟仪器的概念，组成特征和图形化编程语言LabVIEW，并用LabVIEW开发了位移测试和系统静态精度测试系统。     

CAE技术在模具设计过程中的并行应用

介绍CAE技术在模具设计并行工程中应用的基本思路、设计流程和主要特点，并应用Moldflow软件对空气取水机门盖进行CAE分析，以说明CAE技术的并行应用过程。实践证明，CAE技术的并行应用可以提高模具设计质量、缩短模具设计时间，为设计人员提供有效的技术支持，最大限度地发挥CAE的技术优势。     

Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method

Background

Preoperatively acquired diffusion tensor image (DTI) and blood oxygen level dependent (BOLD) have been proved to be effective in providing more anatomical and functional information; however, the brain deformation induced by brain shift and tumor resection severely impairs the correspondence between the image space and the patient space in image-guided neurosurgery.

Method

To address the brain deformation, we developed a hybrid non-rigid registration method to register high-field preoperative MRI with low-field intra-operative MRI in order to recover the deformation induced by brain shift and tumor resection. The registered DTI and BOLD are fused with low-field intra-operative MRI for image-guided neurosurgery.

Results

The proposed hybrid registration method was evaluated by comparing the landmarks predicted by the hybrid registration method with the landmarks identified in the low-field intra-operative MRI for 10 patients. The prediction error of the hybrid method is 1.92 ± 0.54 mm, and the compensation accuracy is 74.3 ± 5.0%. Compared to the landmarks far from the resection region, those near the resection region demonstrated a higher compensation accuracy (P-value = .003) although these landmarks had larger initial displacements.

Conclusions

The proposed hybrid registration method is able to bring preoperatively acquired BOLD and DTI into the operating room and compensate for the deformation to augment low-field intra-operative MRI with rich anatomical and functional information.     

Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns

Identifying the presence of anti-nuclear antibody (ANA) in human epithelial type 2 (HEp-2) cells via the indirect immunofluorescence (IIF) protocol is commonly used to diagnose various connective tissue diseases in clinical pathology tests. As it is a labour and time intensive diagnostic process, several computer aided diagnostic (CAD) systems have been proposed. However, the existing CAD systems suffer from numerous shortcomings due to the selection of features, which is commonly based on expert experience. Such a choice of features may not work well when the CAD systems are retasked to another dataset. To address this, in our previous work, we proposed a novel approach that learns a set of filters from HEp-2 cell images. It is inspired by the receptive fields in the mammalian's vision system, since the receptive fields can be thought as a set of filters for similar shapes. We obtain robust filters for HEp-2 cell classification by employing the independent component analysis (ICA) framework. Although, this approach may be held back due to one particular problem; ICA learning requires a sufficiently large volume of training data which is not always available. In this paper, we demonstrate a biologically inspired solution to address this issue via the use of spontaneous activity patterns (SAP). The spontaneous activity patterns, which are related to the spontaneous neural activities initialised by the chemical release in the brain, are found as the typical stimuli for the visual cell development of newborn animals. In the classification system for HEp-2 cells, we propose to model SAP as a set of small image patches containing randomly positioned Gaussian spots. The SAP image patches are generated and mixed with the training images in order to learn filters via the ICA framework. The obtained filters are adopted to extract the set of responses from a HEp-2 cell image. We then employ regions from this set of responses and stack them into “cubic regions”, and apply a classification based on the correlation information of the features. We show that applying the additional SAP leads to a better classification performance on HEp-2 cell images compared to using only the existing patterns for training ICA filters. The improvement on classification is particularly significant when there are not enough specimen images available in the training set, as SAP adds more variations to the existing data that makes the learned ICA model more robust. We show that the proposed approach consistently outperforms three recently proposed CAD systems on two publicly available datasets: ICPR HEp-2 contest and SNPHEp-2.     

A theoretical study of solvent effects on Kolbe-Schmitt reaction kinetics

A theoretical DFT study was employed to confirm the Kolbe-Schmitt reaction mechanism and investigate solvent effects on this reaction. The use of a solvent in the Kolbe-Schmitt reaction is desirable to facilitate a homogeneous reaction mixture and potentially improve the reaction rate. The candidate solvents were designed using computer aided molecular design (CAMD) and tested using DFT solvation calculations. The results from the quantum mechanical calculations were then used to determine the rate constants for each elementary step, the overall reaction yields and the corresponding residence time. The methodology was tested on the reaction without solvent, with solvents reported in the literature, and with the designed solvents. The study revealed that in the presence of solvents with high dielectric constant the reaction becomes reversible, leading to low product yields.     

基于知识库的CAPP系统应用

为实现CAPP系统的高效率、高集成以及高实用性,从某公司工艺设计中诸多闸题的分析入手,应用面向对象的知识表示方法和数据库技术,建立工艺知识库并对其进行有效管理。提出在全公司范围内建立以工艺知识库／产品工艺数据库为核心、以交互设计为基础、集成工艺知识管理工具等应用支持工具的实用化CAPP系统的思想。基于知识库的CAPP系统应用在生产中应用后,提高了某公司工艺设计的效率,缩短了工艺准备周期,促进了工艺设计和工艺管理的标准化工作,总结和继承工艺设计知识,提高工艺设计水平和设计质量,并且为该公司的PDM／ERP系统提供基础的工艺数据。     

AutoLISP语言在建筑给排水CAD中的应用

近年来,在建筑给排水工程设计领域,CAD出图率已经达到100%,论文结合作者从事给排水设计实践和所学课程,提出了基于AutoCAD平台的建筑给排水CAD辅助设计修改方案,本方案已投入实际工程中进行试运行,取得了较好的应用效果.     

Fuzzy deduction methods of selecting the underwater terrain navigation matching area

To overcome the problems of not describing terrain matching characteristics totally with a single terrain feature parameter in underwater navigation terrain database, an evaluation method named Vague set is proposed to describe the terrain suitability comprehensively based on the fuzzy decision making (FDM) method. The membership functions and non-membership functions of the Vague set are used to define the influence of the terrain map characteristics parameters on matching suitability, and comprehensive evaluation values of matching areas are obtained by the weighted score function method. Simulation results demonstrate that the terrain map suitability is positively proportional to the comprehensive evaluation value, while the matching position error is negatively proportional to the comprehensive evaluation value of the matching area. The Vague set can choose the optimal matching areaeffectively, and solve the problem that the single topographic map featurecannot evaluate suitability comprehensively.