面向网络发布的海洋遥感数据库引擎设计与应用

以浙江海洋水质遥感速报GIS系统的实现为例．针对海洋遥感数据有效管理和网络动态发布的需求,自主设计了面向海洋遥感数据的空间数据库引擎MRSSDE（Marine Remote Sensing Spatial Database Engine）,详细介绍了MRSSDE的数据存储结构和数据访问机制．在浙江海洋水质遥感速报GIS系统中的应用表明,该引擎在对海洋遥感数据方面具有存储效率高、数据上载速度快及响应时间短的特点,达到了海洋遥感数据高效管理和网络实时发布的目的．     

基于本体的个性化教学系统的设计

基于本体构建了一种个性化网络教学系统,重点阐述了利用本体构建课程知识体系,详细说明了系统可根据学生历史学习行为信息、利用课程知识语义网络和本体推理函数实现动态地向远程师生提供高效、准确的个性化教学信息服务．     

多媒体文本数据的模式挖掘方法

给出了多媒体文本数据挖掘（MTM）的定义和分类,提出了多媒体文本数据挖掘过程模型（MTMM）及其特征表示,讨论了多媒体文本类挖掘方法,MTM与Web挖掘的区别与联系,以期发现有用的知识或模式,促进MTM的发展和应用。     

Dimension Concepts and Reduced Dimensions in Toxicological QShAR Databases as Tools for Data Quality Assessment

The dimensions of databases can be defined based on a variety of concepts, ranging from the standard tools of principal component analysis to context-biased approaches. The effective dimensions of databases, in particular the effective dimensions involving continua such as electron density data, provide a set of important tools for database comparisons and for the evaluation of some aspects of database quality. The problems associated with database comparisons and database mergers, such as those occurring in the process of database unification in the actual merger of two pharmaceutical companies, provide challenging tasks and opportunities for data science. Some of the tools for effective dimension reduction and dimension expansion are reviewed in the context of database quality control and conditions for database compatibility are presented. A common misconception affecting data sampling techniques for data quality evaluation is discussed and methods for circumventing the associated sampling errors are described.     

基于大型对象关系型数据库的无缝时空图库集研究

海量时空数据组织是下一代GIS平台所要解决的关键技术．突破了传统地图库的数据管理模式,提出了基于大型对象关系型数据库的时空图库集模型,实现了海量时空数据的逻辑与物理无缝数据组织与存储．首先分析了新技术背景下地图库概念的存亡问题,然后秉承继承与发展的思想,提出了新一代时空图库集模型,并分空间无缝数据组织和时态无缝数据组织两方面对数据组织方式进行了讨论．采用20GB的时空数据测试表明,系统实现了面向实体的无缝海量时空数据组织与管理,以及高效的数据查询与分析等主要目标,同时也验证了图库集模型的正确性．     

Some more space‐group corrections

A survey of approximately 100 000 entries in recent releases of the Cambridge Structural Database (CSD) has uncovered 156 crystal structures that were apparently described in inappropriate space groups. We have revised these space groups and prepared CIFs containing the new coordinates and brief comments describing the revisions.     

A list of organometallic kryptoracemates

The vast majority of racemic solutions of chiral compounds apparently crystallize at room temperature in non‐Sohncke space groups as racemic crystals. However, kryptoracemic crystals composed of nearly enantiomeric pairs occasionally crystallize at room temperature, or appear as low‐temperature phases, in Sohncke space groups. As a complement to the previously published catalog of organic kryptoracemates [Fábián & Brock (2010). Acta Cryst. B 66 , 94–103], 1412 chiral organometallic crystal structures have now been extracted from the Cambridge Structural Database and analyzed. 26 are listed herein as credible kryptoracemates. The possible influence of temperature is discussed, together with some problems in characterizing and classifying these structures.     

GPU accelerated implementation of NCI calculations using promolecular density

The NCI approach is a modern tool to reveal chemical noncovalent interactions. It is particularly attractive to describe ligand–protein binding. A custom implementation for NCI using promolecular density is presented. It is designed to leverage the computational power of NVIDIA graphics processing unit (GPU) accelerators through the CUDA programming model. The code performances of three versions are examined on a test set of 144 systems. NCI calculations are particularly well suited to the GPU architecture, which reduces drastically the computational time. On a single compute node, the dual‐GPU version leads to a 39‐fold improvement for the biggest instance compared to the optimal OpenMP parallel run (C code, icc compiler) with 16 CPU cores. Energy consumption measurements carried out on both CPU and GPU NCI tests show that the GPU approach provides substantial energy savings. © 2017 Wiley Periodicals, Inc.     

知识发现技术在平台自动测试系统故障诊断中的应用

针对平台自动测试系统故障诊断的特点和设计要求,提出了一种将知识发现技术融入故障诊断系统中的新的框架,同时设计了知识发现操作的具体过程。系统运行后,既可以发现新知识,又可以改进原有规则,大大提高了系统的知识获取和故障诊断能力。     

可视化杆系结构分析程序设计

利用可视化编程语言将杆系优化计算封装为动态连接库 (DLL) ,采用面向对象的方法描述了杆系结构分析所需的类 ,并用数据库技术和三维图形模式对杆系结构分析进行格式化输入输出。通过对杆系结构的特点分析 ,将程序分为三个主要的设计模块 :显示模块、数据管理模块和结构分析模块 ,实现了程序的模块化设计。通过对实例的测试 ,说明该程序已达到对一般多工况杆系可视化设计的目的