基于Web信息自动获取构建生物信息二级数据库

提出并实现了一种具有较高自动化程度的生物信息二级数据库构建方法。其中,通过代理程序自动获取Web信息,实现数据库的数据收集和自动更新;采用XML描述核酸和蛋白质数据,方便对语义的机器解析。     

交通运输信息平台数据库的论证与实现

交通运输信息平台可以通过对Web数据库进行分析,从而有效实现ASP同数据库的有效对接,在数据资源开发中的发挥作用,并对用户身份认证标记保持。     

基于Web Services与XML的CAPP与PDM数据集成接口的研究

分析了CAPP与PDM集成的必要性及集成的要点,针对CAPP与PDM数据集成的特点提出一种基于Web Services与XML的数据集成接口设计.应用XML作为中间格式实现CAPP与PDM的数据交换,构建基于Web Services平台的接口集成框架,实现了CAPP与PDM的信息集成.     

基于OpenGL的数控加工在线测量仿真技术研究

为了实现数控机床在线测量的可视化仿真,开发了一种用于数控机床在线测量的仿真软件。采用OpenGL作为图形系统开发环境;通过读取STL格式的零件模型文件,来显示零件的三维构造;通过解析含有理论点坐标的XML格式的测量指导文件,来显示被测点的理论位置;通过接收数控系统的测量数据,来实现在线测量系统测头的实时仿真。并使用CATIA生成的STL模型验证了该仿真系统的运行。     

基于Web Services的烘焙企业信息系统异构数据同步研究

随着烘焙企业连锁经营模式的出现,烘焙企业管理模式进入了信息化管理时代,烘焙企业地理分布广泛,出现了中心厂区的中心信息系统与门店的销售系统彼此孤立的现象。异构数据库数据同步方法其目的在于优化企业信息化管理,从而消除信息孤岛。本文通过分析Web Services进行异构数据库数据同步原理,提出了基于Web Services解决烘焙企业异构数据同步的模型,同时列举．Net平台下Web Services实现方法。     

一种基于TCP/IP网络的远程测控系统

本文提出了对导弹控制系统进行远程测试的思想,在远程测试的过程中,远程测控台向现场测控计算机发送指令,由现场测控系统对被测对象进行信号采集与处理,将得到的数据以一定的格式传送给远程测控台.在测试的同时,处于远程测控端的专家可以通过视频、音频和文本等方式与处于现场的作战部队技术人员进行交流.另外,远程测试台也可以把更新过的测试数据库和故障信息知识库放到Web服务器上,由现场测控计算机登陆到Web服务器,对自身的数据库和知识库进行更新,然后进行本地测试.文章对导弹控制系统的硬件构成和关键技术进行了详细介绍.     

GenExtractor:基于Web的基因信息挖掘

开发了基于Web的基因信息挖掘系统--GenExtractor,它通过自动连接生物数据库,按照指定的染色体区域寻找候选基因,搜集并集成相关信息,为科研人员检索生物数据库和查找候选基因提供了一个有效的工具.该系统能够在更加精细的染色体区域内对指定功能基因进行查找,并对关键词的要求比较宽泛.经测试,其平均查准率达到60%,平均查全率达到82.1%.     

基于Web信息抽取的技术成果信息采集系统

通过对技术转移中心技术成果信息收集的分析,提出采用基于Web格式分析的技术成果信息批量自动采集方案.对Web信息抽取的原理及实现进行了分析,并给出了技术成果信息采集的程序实例.     

Web的财务查询系统的性能优化与实现

在数据库和应用程序设计等方面探讨了信息查询的性能问题,研究了基于Web方式数据查询的优化方法.在高校财务信息查询系统的设计中,通过物理数据库的优化设计、使用优化的SQL语句、使用存储过程和基于存储过程的分页显示技术等优化信息查询性能,并给出了具体的代码实现,从而在软件方面解决了信息查询系统的性能问题.     

SQL server的分布式光纤温度传感器校准数据采集方法

利用Lab VIEW数据采集系统平台,提出了一种采用SQL server技术访问InterBase数据库的数据采集方法.该方法先将分布式光纤温度传感器自带的GDB格式数据,以数据表的形式存入SQL Server特定数据库中,然后通过Lab VIEW数据采集系统以数组形式显示,最后将数组数据保存在Excel文件中,以便数据分析处理.运行调试结果表明,该方法对被校分布式光纤温度传感器的校准数据采集保存快速,操作分析方便,可视化效果好.     

基于自组织特征映射神经网络的零件加工尺寸类型识别

 提出一种基于自组织特征映射神经网络（SOFM）的零件加工尺寸类型识别方法.首先从三维CAD软件中获取包含零件特征数据的XML文件,并从文件中提取相应的加工特征及尺寸.然后以零件加工特征作为SOFM的输入层的神经元,经处理后作为SOFM的输入向量,利用SOFM自学习和自组织能力对输入向量进行训练.训练好的网络可以实现对零件加工尺寸类型进行较好的识别.最后通过对某零件的尺寸类型识别,验证了所提方法对平面、内孔、外圆和定位四类典型加工尺寸类型识别的有效性.     

Improving Interoperability by Incorporating UnitsML Into Markup Languages

Maintaining the integrity of analytical data over time is a challenge. Years ago, data were recorded on paper that was pasted directly into a laboratory notebook. The digital age has made maintaining the integrity of data harder. Nowadays, digitized analytical data are often separated from information about how the sample was collected and prepared for analysis and how the data were acquired. The data are stored on digital media, while the related information about the data may be written in a paper notebook or stored separately in other digital files. Sometimes the connection between this “scientific meta-data” and the analytical data is lost, rendering the spectrum or chromatogram useless. We have been working with ASTM Subcommittee E13.15 on Analytical Data to create the Analytical Information Markup Language or AnIML—a new way to interchange and store spectroscopy and chromatography data based on XML (Extensible Markup Language). XML is a language for describing what data are by enclosing them in computer-useable tags. Recording the units associated with the analytical data and metadata is an essential issue for any data representation scheme that must be addressed by all domain-specific markup languages. As scientific markup languages proliferate, it is very desirable to have a single scheme for handling units to facilitate moving information between different data domains.At NIST, we have been developing a general markup language just for units that we call UnitsML. This presentation will describe how UnitsML is used and how it is being incorporated into AnIML.     

Natural Language Semantic Construction Based on Cloud Database

Natural language semantic construction improves natural language comprehension ability and analytical skills of the machine. It is the basis for realizing the information exchange in the intelligent cloud-computing environment. This paper proposes a natural language semantic construction method based on cloud database, mainly including two parts: natural language cloud database construction and natural language semantic construction. Natural Language cloud database is established on the CloudStack cloud-computing environment, which is composed by corpus, thesaurus, word vector library and ontology knowledge base. In this section, we concentrate on the pretreatment of corpus and the presentation of background knowledge ontology, and then put forward a TF-IDF and word vector distance based algorithm for duplicated webpages (TWDW). It raises the recognition efficiency of repeated web pages. The part of natural language semantic construction mainly introduces the dynamic process of semantic construction and proposes a mapping algorithm based on semantic similarity (MBSS), which is a bridge between Predicate-Argument (PA) structure and background knowledge ontology. Experiments show that compared with the relevant algorithms, the precision and recall of both algorithms we propose have been significantly improved. The work in this paper improves the understanding of natural language semantics, and provides effective data support for the natural language interaction function of the cloud service.     

MINERVA: a multi-modality plugin-based radiation therapy treatment planning system

Researchers at the INEEL, MSU, LLNL and UCD have undertaken development of MINERVA, a patient-centric, multi-modal, radiation treatment planning system, which can be used for planning and analysing several radiotherapy modalities, either singly or combined, using common treatment planning tools. It employs an integrated, lightweight plugin architecture to accommodate multi-modal treatment planning using standard interface components. The design also facilitates the future integration of improved planning technologies. The code is being developed with the Java programming language for interoperability. The MINERVA design includes the image processing, model definition and data analysis modules with a central module to coordinate communication and data transfer. Dose calculation is performed by source and transport plugin modules, which communicate either directly through the database or through MINERVA's openly published, extensible markup language (XML)-based application programmer's interface (API). All internal data are managed by a database management system and can be exported to other applications or new installations through the API data formats. A full computation path has been established for molecular-targeted radiotherapy treatment planning, with additional treatment modalities presently under development.     

基于SQL Server的蛋白质二级结构预测样本集数据库的构建

基于SQL Server数据库管理系统,将蛋白质二级结构预测的样本集CB513、CB396和RS126组织起来,建立了数据库DataSet,并配置了一个IIS服务器以方便网络查询.该数据库将蛋白质二级结构预测样本集有效地组织起来,实现了规范化、结构化统一管理,便于存储、检索和分析数据,减少错误的发生.通过该数据库可以提取供蛋白质二级结构预测研究的样本、序列转换、变换编码以及分析评价预测结果等,取代许多传统编程处理文本文件的繁琐工作,大大提高效率,促进工作的开展.     

Development and assessment of a new radioactive decay database used for dosimetry calculation

The present paper discusses the technical issues and a scheme for their resolution before undertaking the development of a new radioactive decay database to succeed ICRP38. The scheme consists of the following procedures. (1) The consistency of nuclear structure data files used as input to the computer code EDISTR is established by referring to the latest nuclear parameters and by comparing the computed energies of emitted radiations with total decay energy. (2) A method for calculating detailed spectra of X rays and Auger electrons is incorported into EDISTR to enhance the treatment of atomic relaxation processes initiated by electron vacancies from internal conversion and electron capture. (3) Quality assurance of the compiled data is undertaken by comparisons with experimental data and other decay databases prepared from different computer codes and libraries. JAERI and ORNL are cooperating to implement the scheme in order to assemble a comprehensive radioactive decay database including over 1000 nuclides.     

生物信息二级数据库的RM-CwX构建模式

提出了一种适用于生物信息领域的RM-CwX(RDB model compafible with XML)数据库构建模式,它采用关系数据库管理系统来存储和管理收集到的生物信息,采用XML形式的半结构化数据进行信息的发布。通过硒蛋白相关生物信息二级数据库的构建实例说明,该模式可有效地构建生物信息二级数据库系统,在对相关生物信息进行及时收集和有效管理的基础上,不仅可以提供相关生物信息的网页浏览及交叉索引,提供复杂的信息检索,同时还能够较大限度地处理生物信息数据源中常见的不一致和变化等。     

NIST Gas Hydrate Research Database and Web Dissemination Channel

To facilitate advances in application of technologies pertaining to gas hydrates, a freely available data resource containing experimentally derived information about those materials was developed. This work was performed by the Thermodynamic Research Center (TRC) paralleling a highly successful database of thermodynamic and transport properties of molecular pure compounds and their mixtures. Population of the gas-hydrates database required development of guided data capture (GDC) software designed to convert experimental data and metadata into a well organized electronic format, as well as a relational database schema to accommodate all types of numerical and metadata within the scope of the project. To guarantee utility for the broad gas hydrate research community, TRC worked closely with the Committee on Data for Science and Technology (CODATA) task group for Data on Natural Gas Hydrates, an international data sharing effort, in developing a gas hydrate markup language (GHML). The fruits of these efforts are disseminated through the NIST Sandard Reference Data Program [1] as the Clathrate Hydrate Physical Property Database (SRD #156). A web-based interface for this database, as well as scientific results from the Mallik 2002 Gas Hydrate Production Research Well Program [2], is deployed at http://gashydrates.nist.gov.     

An intelligent process planning system for micro turn-mill parts

An attempt has been made to develop a generalised system for the generation of process plan for the manufacture of micro parts in this work. It has two components; first one deals with automatic part feature extraction from feature-based model and second one performs the execution of process planning activities in accordance with feature using knowledge-based system approach. The proposed system maps extensible markup language (XML) data for the feature based-model and produces the corresponding manufacturing activities needed for the manufacture of micro parts. The process plan modules considered in this work includes process sequence, tools and fixtures, process parameters selection and set-up plan generation. An attempt has been made to develop process parameters selection module based on experimental investigation and optimisation apart from manufacturing catalogues and user manuals. Feature extraction through XML files avoids complex feature extraction process. The application of the developed system has been verified with a case study. The present system is limited to micro turn-mill features. Incorporation of more micro features and consideration of other activities of process plan ensures a complete process planning system for micro-machining processes.     

空间网格结构计算中图形输入信息数据的新的实现方法

空间网格结构计算必须输入大量的信息数据。借助ＡｕｔｏＣＡＤ图形环境,用ＶｉｓｕａｌＣ＋＋编译开发了图形输入信息数据的前处理模块,文中介绍了图形化信息的生成,着重介绍了通过对图形数据库的过滤操作实现图形化信息向数据文件转化的新方法。