博士学位论文创新性及相关因素关联分析

通过对某高校博士学位论文进行调查,获得近3年1164份有效创新性评价数据,并以此为基础对博士学位论文的总体创新性和单项创新性进行分析,进而研究论文创新性与相关因素（学科门类、在读年限）间的关系,以期为改进博士生培养、提高博士学位论文创新性及博士生教育质量提供参考。     

3D技术教育应用创新透视

3D技术是虚拟现实、实时仿真和交互三维设计结合产生的关键技术,包括3D显示技术、3D虚拟现实技术和3D打印技术。目前3D技术已成为桌面技术(3D显示技术和3D虚拟现实技术为桌面显示技术,3D打印技术为桌面制造技术),正逐渐在知识创新、深度学习、虚拟实验、技能训练等方面彰显优势,为教育应用创新提供新环境、新平台、新资源、新工具和新范式。然而由于产品价格较为昂贵,后续的保养、管理及维修等费用也较高,3D技术教育应用在顶层设计、技术支持、教育资源、测评标准、应用领域、人才培养等方面仍面临较多困难。3D技术教育应用是一个教育生态系统,是依托3D技术、资源、工具、平台、产品、人才和课程,构建教学资源、教学媒体和教学产品的设计、开发、运用、管理和评价的教育系统,需要进行理论、技术与应用的协同推进,从生态发展、产业推进、深度融合视角开展研究。在落实《教育信息化十年发展规划(2011-2020年)》之际,应将"3D技术教育应用创新"作为技术与教育"深度融合"的重要途径,构建3D教育应用生态系统环境,促进教学方式与学习方式变革,以此应对第三次工业革命带来的机遇和挑战。     

基于游戏引擎的第三人称射击类案例制作解析

随着游戏行业的高速发展,游戏引擎逐渐成为游戏开发领域的主流开发工具,其中Unity3D游戏引擎具有较好的跨平台特性。文章通过使用Unity3D游戏引擎进行第三人称射击官方案例的制作解析,包括游戏资源的导入、游戏主角的移动、受到伤害及死亡、游戏主角发动攻击、Mecanim动画系统、游戏怪物的AI、游戏怪物受到伤害及死亡等主要功能的讲解,展现了第三人称射击类案例的制作流程,对于从事游戏开发研究具有较好地实用性。     

MasterCAM 2D动态铣削及其优势

MasrterCAM 2D动态铣削是世界技能大赛、全国数控大赛在数控铣削赛项中普遍采用的软件编程技巧。文章通过典型案例将MasrterCAM 2D动态铣削与其他铣削方式进行对比分析,梳理2D动态铣削的优势及应用技巧。     

Development and implementation of a three-dimensional (3D) printing elective course for health science students

Three-dimensional (3D) printing technology has become more affordable, accessible, and relevant in healthcare, however, the knowledge of transforming medical images to physical prints still requires some level of training. Anatomy educators can play a pivotal role in introducing learners to 3D printing due to the spatial context inherent to learning anatomy. To bridge this knowledge gap and decrease the intimidation associated with learning 3D printing technology, an elective was developed through a collaboration between the Department of Anatomy and the Makers Lab at the University of California, San Francisco. A self-directed digital resource was created for the elective to guide learners through the 3D printing workflow, which begins with a patient's computed tomography digital imaging and communication in medicine (DICOM) file to a physical 3D printed model. In addition to practicing the 3D printing workflow during the elective, a series of guest speakers presented on 3D printing applications they utilize in their clinical practice and/or research laboratories. Student evaluations indicated that their intimidation associated with 3D printing decreased, the clinical and research topics were directly applicable to their intended careers, and they enjoyed the autonomy associated with the elective format. The elective and the associated digital resource provided students with the foundational knowledge of 3D printing, including the ability to extract, edit, manipulate, and 3D print from DICOM files, making 3D printing more accessible. The aim of disseminating this work is to help other anatomy educators adopt this curriculum at their institution.     

Digital body preservation: Technique and applications

High-fidelity anatomical models can be produced with three-dimensional (3D) scanning techniques and as such be digitally preserved, archived, and subsequently rendered through various media. Here, a novel methodology—digital body preservation—is presented for combining and matching scan geometry with radiographic imaging. The technique encompasses joining layers of 3D surface scans in an anatomical correct spatial relationship. To do so, a computed tomography (CT) volume is used as template to join and merge different surface scan geometries by means of nonrigid registration into a single environment. In addition, the use and applicability of the generated 3D models in digital learning modalities is presented. Finally, as computational expense is usually the main bottleneck in extended 3D applications, the influence of mesh simplification in combination with texture mapping on the quality of 3D models was investigated. The physical fidelity of the simplified meshes was evaluated in relation to their resolution and with respect to key anatomical features. Large- and medium-scale features were well preserved despite extensive 3D mesh simplification. Subtle fine-scale features, particular in curved areas demonstrated the major limitation to extensive mesh size reduction. Depending on the local topography, workable mesh sizes ranging from 10% to 3% of the original size could be obtained, making them usable in various learning applications and environments.     

基于P-范分布下的三维激光点位误差分布检验

目前,在对三维激光点位误差模型进行推导的过程中,都是假设三维激光点位误差是服从正态分布的,而由于三维激光点位误差源与传统测量仪器中的误差源不同,同时外界环境对激光点位误差的影响也不相同,因此,不能直接断定点位误差服从正态分布,需要对其理论分析及数据统计分析验证。针对三维激光点位误差分布状况,本文对激光点位误差模型进行了推导,并通过大量数据统计分析验证了激光点位误差服从的分布状况。     

Government support for SME innovations in the regional industries: The case of government financial support program in South Korea

This study explores the impact of governmental support policies on the innovation of SMEs in the regional strategic industries in South Korea. We use the technological development assistance funds as a proxy for governmental support policies for SMEs in the regional industries in Korea. The innovation of SMEs is measured by technological innovation: patent, utility model, trademark, and new design registrations. Before empirically testing the impact of governmental support policies on the innovation of SMEs, this study reviews the literature concerning the innovation and the governmental support policies of SMEs in regional industries. Results from empirical models, which simultaneously control for factors which were thought to affect the innovation of regional SMEs, indicate that a positive relationship exists among the technological development assistance by the Korean government and patent acquisitions and new design registrations of regional SMEs. Networks with universities also have a positive relationship with patent acquisitions and new design registrations of regional SMEs. This study suggests there is an importance to governmental financial aids for regional SME innovations, and there is an importance to the need to build a strong social relationship in today's networked economy.     

Multinational subsidiary knowledge protection—Do mandates and clusters matter?

International knowledge spillovers, especially through multinational companies (MNCs), have recently been a major topic of academic and management debate. However, most studies treat MNC subsidiaries as relatively passive actors. We challenge this assumption by investigating the drivers of knowledge protection intensity of MNC subsidiaries. We argue that knowledge protection intensity is determined by MNC subsidiary mandates and by opportunities and risks originating from the host region. We hypothesize that not just competence-creating but also competence-exploiting mandates increase knowledge protection intensity. In addition, technological cluster regions in the host country can be expected to provide opportunities for knowledge sourcing and MNC subsidiaries may be willing to protect knowledge less intensively to participate in cluster networks. We test our hypotheses using a dataset of 694 observations of 631 MNC subsidiaries in Germany and develop recommendations for research, managers and policy makers.     

A dynamic auction for multi-object procurement under a hard budget constraint

This contribution revisits the problem of allocating R&D subsidies by government agencies. Typically, the applicants’ financial constraints are private information. The literature has recommended the use of auctions in order to reduce information rents and thus improve the efficiency of how scarce public funds are allocated. We propose a new open clock auction for this procurement problem. This auction is strategically simple, as it exhibits truthtelling in dominant strategies and satisfies ex-post rationality, while observing the budget constraint. We test the auction in Monte-Carlo simulation and discuss its applicability and limitations. Moreover, we highlight connections to recent advances in computer science.