Adaptive adversarial prototyping network for few-shot prototypical translation

Translating multiple real-world source images to a single prototypical image is a challenging problem. Notably, these source images belong to unseen categories that did not exist during model training. We address this problem by proposing an adaptive adversarial prototype network (AAPN) and enhancing existing one-shot classification techniques. To overcome the limitations that traditional works cannot extract samples from novel categories, our method tends to solve the image translation task of unseen categories through a meta-learner. We train the model in an adversarial learning manner and introduce a style encoder to guide the model with an initial target style. The encoded style latent code enhances the performance of the network with conditional target style images. The AAPN outperforms the state-of-the-art methods in one-shot classification of brand logo dataset and achieves the competitive accuracy in the traffic sign dataset. Additionally, our model improves the visual quality of the reconstructed prototypes in unseen categories. Based on the qualitative and quantitative analysis, the effectiveness of our model for few-shot classification and generation is demonstrated.     

Maskless writing of microfluidics: Rapid prototyping of 3D microfluidics using scratch on a polymer substrate

We present a new rapid prototyping method designed for simple fabrication of 3D microfluidics using a maskless direct writing technique on polymer substrates. The entire process is enabled by a commercial cutter plotter with 10 μm resolution precision and high speed. A CAD design of top and bottom microstructures is directly written on a polymer substrate using a cutter plotter after setting up the suitable force. The smallest channel width of 20 μm was obtained with the minimum force and 100 μm from the maximum. Also the written depth increased linearly with force from 30 to 130 μm. Several 3D microfluidic devices are demonstrated using a maskless writing technique. The entire fabrication process from CAD layout to a final 3D device can be completed in 30 min outside the clean room facilities.     

Linguistic Problems with Requirements and Knowledge Elicitation

Human and conversational aspects of requirements and knowledge identification are employed to show that requirements ‘engineering’ is not the same as civil engineering or scientific problem solving. Not only can requirements not be made fully explicit at the start of a project, they cannot be made fully explicit at all. A need is identified to enhance computer-based information systems (CBIS) development methods to accommodate: plurality of incommensurable perspectives, languages and agendas; dynamic representations of system features that can be experienced rather than abstracted and forced into an abstract paper-based representation; recognition that CBIS development is in general a continuous process where users changing their minds is a natural and necessary indication or organisational vitality.  It is suggested that prototyping and rapid application development go some way to addressing these requirements but that they require further development in the light of the theoretical light thrown on the nature of the problem.     

面向对象原型法在MIS开发中的应用研究

本文研究了对象原法开发管理信息系统的一些关键技术,重点说明了原型的设计、运行、测试,以至向目标系统演化的过程,最后用此方法实现了国家高新区基建项目管理信息系统。     

基于快速成型技术的警用小型电子产品工业设计方法研究

本文介绍了一种基于快速成型技术的警用小型电子产品的工业设计方法。与传统设计方法相比较,该方法在创新设计理念、缩短产品研制周期、保证产品质量等方面都有了重大突破。同时,本文以电子护照读写机具设计为例,详细阐述了应用这种方法进行警用小型电子产品设计的方法和流程,并将该方法与传统设计方法进行了详细的分析和比较。     

STL模型切片轮廓数据的修正与优化

STL文件因其简单和通用性好,一直作为快速成型领域的准标准。但是由于其本身的缺陷,造成切片之后的轮廓信息数据有大量的冗余数据甚至错误。该文针对切片轮廓的不封闭,给出了有效的修正算法;通过对轮廓信息中冗余数据的分析,提出了一种冗余数据的滤除算法。该算法高效简单,提高了后续的数据处理的效率和成型件的加工质量,改善了零件成型的加工性能。     

反求工程图像采集系统的设计

随着RP行业的迅速发展,反求工程在快速成型制造系统中的作用日益重要。图像采集系统的设计是反求工程设计的核心部分。该文对反求工程的产生、发展现状与它在快速成型制造中的重要作用做了简要介绍,并着重对反求工程中图像采集系统的测量原理及其软、硬件设计进行了详细全面的论述。     

基于RP/M技术的新产品开发

简单介绍了快速成型制造(RP&M)系统的工作原理。以机器人操作手柄的开发为例,着重介绍了以工业设计为手段进行的产品三维实体造型、原型制作和小批量生产的新产品开发过程。通过这些数字化技术的综合利用,大大提高了生产效率,降低了生产成本,为产品创新开发创造了一种新思路。     

快速成形技术中STL数据模型的浓淡处理

在快速成形技术的前处理过程中 ,STL数据模型的浓淡处理是一个非常重要的内容之一。OpenGL是一个开放的 3D图形应用程序编程接口 ,已经简化了许多编程操作。通过利用OpenGL图形编程工具和VisualC 6.0编程语言 ,详细介绍了快速成形技术中STL数据模型的浓淡处理方法 ,从而使得STL数据模型的浓淡处理变得非常简单、方便和高效 ,使STL数据模型的显示功能更加完善 ,有利于操作人员对STL数据模型的后续处理和实体成型。     

基于核心软件的虚拟样机技术

简要介绍了虚拟样机技术的基本概念,提出了虚拟样机技术必备的三个相关的技术领域:即CAD技术、计算机仿真技术与虚拟现实(Virtual Reality,简称VR)和最终目标--人机交互技术.阐述了虚拟样机的组成及所处环境.给出了虚拟样机的生产流程和虚拟样机技术的工程应用领域及虚拟样机的应用前景.