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.     

高校图书馆信息智库构建研究——以上海海事大学图书馆为例

论文分析了全球智库的发展概况,比较欧美智库与中国智库的不同特点,借鉴国际先进智库的发展经验,指出在信息化社会的大环境下,高校图书馆服务要适应时代的需求,保持竞争力,必须向信息智库进行转型.论文以上海海事大学图书馆为例,从定位原则、资源构建、服务构建、机制构建和影响力拓展等方面研究高校图书馆信息智库构建路径,以便提高高校图书馆的软实力.     

Academic scientists’ affiliation with university research centers: Selection dynamics

University research centers have been institutionalized as a part of the science policy repertoire committed to strategic use of science and technology. Based on a representative sample of academic scientists and engineers in American research universities, this study investigates the selection dynamics, attempting to unfold the determinants of department-affiliated faculty members to be center affiliates. The findings suggest that university research centers select their affiliates on the basis of individual scientific and technical human capital. Scientists from prestigious departments are more likely to be center affiliates, so are prolific scientists, former postdoctoral scholars and the elder cohorts. In the meantime, university research centers are able to overcome the incentive incongruity with academic departments, as is evidenced by a higher likelihood among junior scientists to secure center connections. Dedicated to diversity and equity, university research centers provide a level playing field for women, minority and foreign-born scientists. The study concludes with a discussion of the scientific and technical human capital theory and policy implications in the science enterprise.     

制造产业集群知识资源管理机制研究

根据制造产业集群知识资源的特点,结合集群环境下知识资源管理的优势,从知识资源管理流程入手分析研究制造产业集群知识资源管理机制,主要包括:知识资源的整合机制、显性化机制、共享机制、创新机制、学习与流动机制、激励机制和保障机制,并提出集群协同创新服务平台知识资源管理体系架构。     

坡耕地资源开发利用与水土流失之困

土壤和水分是人类赖以生存的基本自然资源条件。由于不合理的环境资源开发利用和气候、地理条件原因,水土流失成为当前期待解决主要的环境问题之一,加强水土保持工作是我国环境保护的重要内容。客观的水土资源赋予造成我国耕地资源不足,人均少、东多西少等人地矛盾突出,坡耕地资源开发利用与农业成为必然,但传统粗放的坡耕地耕作已经形成十分严重的水土流失问题,合理开发利用坡耕地资源已经成为当前水土保持工作的重点之一。在对我国水土资源调研分析过程中,本文分析了坡耕地治理对于水土保持工作的重要性,我国坡耕地的现状,以及耕地造成水土流失的原因和解决坡耕地资源开发利用问题面临的困惑,提出解决坡耕地问题的一些措施和建议。     

改进的云资源调度自相关匹配数据融合算法

提出一种基于自相关匹配滤波和云间相似程度特征提取的云资源调度数据融合算法。设计了基于云资源调度的云计算海量数据处理平台,构建数据融合预处理模型,在云资源调度系统中,设计自相关匹配滤波器,得到融合特征分簇重构空间,对特征进行模式匹配,得到后置处理滤波器的系统函数,实现了对云资源调度自相关匹配数据融合算法的改进。仿真实验表明,该算法能高精度、高平稳地实现云资源调度数据的融合,对云滴数的要求极低,数据处理效果较好,云资源调度执行任务数、云资源调度总任务完成时间、用户满意度等指标优于传统方法,展示了较好的应用价值。     

动态分层二值进化全关节驱动跟踪贫化算法

在人体运动跟踪建模中,需要对样本集的多样性特征进行贫化处理,以提高全关节驱动模式运动状态跟踪的准确性。传统方法采用量子进化和粒子滤波算法进行人体运动跟踪贫化算法实现,算法在全关节多样化样本特征运动模式下,跟踪效果不好。提出一种采用动态分层二值进化处理的改进的量子进化粒子滤波全关节驱动模式跟踪方法,解决多样本特征的贫化问题。进行人体全关节驱动模式动力学分析及人体运动跟踪模型构建,通过动态分层处理技术,获得二值前景图像,求得人体关节的全方位信息特征,通过动态分层二值进化方法,准确地找到各关节位置,构建亮度模型函数,实现贫化处理。实验表明,改进算法能实现对体操运动员运动幅度大的肘、腕、踝部位均得到了准确的跟踪结果,贫化效果较好,运动状态估计精度较高。     

网络资源调查方法探析

阐述网络资源调查的重要性,介绍关键词调查法、分类调查法、链接调查法等3种主要网络调查方法,为网络资源开发利用提供参考。