空间科学卫星数据快速处理方法

针对卫星获取的大规模数据进行快速数据处理一直是空间信息处理系统建设中的关键。面对空间科学卫星全天候观测、探测载荷类型多、处理算法多样带来的数据处理难题,现有基于CCSDS标准格式的数据分析方法,难以满足目前在轨的多颗空间科学卫星数据处理系统在正确性和时效性方面的要求。针对空间科学卫星探测数据处理特点,提出了一种空间科学数据快速处理方法,设计两层联合索引结构,将空间科学大数据处理问题转化为索引表和源包数据单元的处理问题,提高了数据处理效率;采用科学工作流技术设计了数据驱动和业务驱动协同的处理框架,支持多样化的空间科学卫星数据处理流程,各类载荷数据处理任务并行调度。实验结果表明,这种方法处理速度可扩展,内存使用较少,已应用于空间科学卫星地面系统中,取得了良好的效果。     

浅论计算机技术在报刊出版中的应用

本文通过计算机技术在作者投稿,编辑加工、排版、制图、校对、出版中的应用,说明计算机技术对缩短出版周期、减小编辑工作量、提高报刊质量的重要作用。     

Dynamic interval-based labeling scheme for efficient XML query and update processing

XML data can be represented by a tree or graph structure and XML query processing requires the information of structural relationships among nodes. The basic structural relationships are parent-child and ancestor-descendant, and finding all occurrences of these basic structural relationships in an XML data is clearly a core operation in XML query processing. Several node labeling schemes have been suggested to support the determination of ancestor-descendant or parent-child structural relationships simply by comparing the labels of nodes. However, the previous node labeling schemes have some disadvantages, such as a large number of nodes that need to be relabeled in the case of an insertion of XML data, huge space requirements for node labels, and inefficient processing of structural joins. In this paper, we propose the nested tree structure that eliminates the disadvantages and takes advantage of the previous node labeling schemes. The nested tree structure makes it possible to use the dynamic interval-based labeling scheme, which supports XML data updates with almost no node relabeling as well as efficient structural join processing. Experimental results show that our approach is efficient in handling updates with the interval-based labeling scheme and also significantly improves the performance of the structural join processing compared with recent methods.     

MIPAS: A neural network-based multimedia information processing and analysis system

This paper presents the structure and design criteria of a neural network-based multimedia information processing and analysis system (MIPAS) which can be used to deal with more-complicated intelligence issues. According to the structure and design criteria, a software environment (SEMIPAS), which supports the implementation of multimedia information (image + speech, image + characters, speech + characters, image + speech + characters) processing and analysis applications, is implemented and introduced. Under this software environment, a multimedia information processing and analysis system called “To Know the World” is constructed. Experiments show that the multimedia information processing and analysis is much more powerful and effective than single-medium information processing and analysis.     

A Java application for tissue section image analysis

The medical industry has taken advantage of Java and Java technologies over the past few years, in large part due to the language's platform-independence and object-oriented structure. As such, Java provides powerful and effective tools for developing tissue section analysis software. The background and execution of this development are discussed in this publication. Object-oriented structure allows for the creation of "Slide", "Unit", and "Cell" objects to simulate the corresponding real-world objects. Different functions may then be created to perform various tasks on these objects, thus facilitating the development of the software package as a whole. At the current time, substantial parts of the initially planned functionality have been implemented. Getafics 1.0 is fully operational and currently supports a variety of research projects; however, there are certain features of the software that currently introduce unnecessary complexity and inefficiency. In the future, we hope to include features that obviate these problems.     

Personal reflections from the fifth editor of Human Factors

The fifth editor of Human Factors provides reflections on journal publication spanning four volumes printed from 1976 to 1980. During that period, most of the publication and management activities were handled by volunteer efforts of the editor, the editorial board, and the editor's organization. Electronic word processing was not readily available, and most publication tasks required laborious clerical support, resulting in long publication lags. The editor provides reflection on the steps taken by the Human Factors and Ergonomics Society to separate editorial and production activities during that period to provide more support for the journal editorial duties. This resulted in the Society becoming its own publisher, building the beginning of a publication staff in the central office, and increasing the published page count. Rigorous editorial reviews were used to improve the scientific quality of the journal. The publication emphasis was on empirical research, but theoretical articles and research reviews were also considered for publication. Regular journal articles, short research notes, and special topics were published as ways to broaden the scientific coverage and shorten the publication lag.     

一种实用Internet内容版权保护系统的设计与实现

ICCP是一个基本满足Internet内容版权保护要求的系统。系统采用加密、认证的版权保护技术,同时支持用户在线或离线地访问出版物。系统使用一种可以证明责任性的安全协议来保证版权一定得到保护。系统使用插件技术来确保密户端的安全运行和方便的拦截和解密Internet数据,保证系统和Internet紧密集成在一起。系统的实现对于数字化图书馆和电子出版等应用有实际的意义。     

一种可重构以太网数据包解析器中可重构单元的设计

不停变化的网络协议标准和用户定制化网络业务需求要求交换机硬件具有更高的灵活性。在此背景下,提出了一种能够通过软件编程定义协议解析规则的以太网交换机芯片数据包解析器基本处理单元,具有高性能且高灵活性的优点,通过灵活配置硬件解析逻辑和查找表内容,定义对数据包包头内容的提取、查找、匹配、动作等解析过程,从而支持对不同种类的协议解析任务,其由2类基本结构的串联或并联组合而成,这样可以根据需要进行硬件资源裁剪。基于该可重构基本处理单元,可以构成可重构报文解析器,支持自定义协议及未知协议的解析。主要介绍了该可重构基本处理单元的结构,并介绍了基于该基本处理单元的解析器架构的实现方法。采用40 nm工艺综合后的评估结果显示,该基本单元电路最高工作时钟频率可以达到240 MHz,基于该基本处理单元结构实现的支持4层常用以太网协议解析的解析器每秒可处理2.4亿个数据包。该可重构基本处理单元所用存储资源共计87.98 Kb,设计规模约147万门。     

支持数据更新的压缩编码研究

提出一种支持数据更新的XML压缩编码CXSU（Compact XML storage for Supporting Update processing）。CXSU编码将节点路径信息进行分解,避免了记录重复信息,同时支持节点祖先后代关系,父子关系和兄弟关系的表示。实验表明CXSU编码能节省存储空间,有效地支持XML数据动态更新。     

面向多领域的可视化应用开发平台MOVADP

ＭＯＶＡＤＰ是一个面向多领域的可视化应用开发平台，文中主要介绍了该平台的软件结构和实现技术，ＭＯＶＡＤＰ以数据流机制为核心，采用可视编程技术，为用户开发可视化应用提供了一个文凭交互的模块级图形编程环境，与同类平台相比，ＭＯＶＡＤＰ的特点在于，引入了ＩＦＴＨＥＮ－ＥＬＳＥ，ＷＨＩＬＥ－ＬＯＯＰ等控制结构，支持用户构建复杂的可化应用流图；支持“ｌａｚｙｅｖａｌｕａｔｉｏｎ”命令驱动方式下的流图局部运行     

多总线多DSP实时图像处理操作系统的设计与实现

该文针对多总线多 DSP实时图像识别系统 ,设计并实现了一个并行操作系统 .它包括嵌入到 DSP芯片上的操作系统和运行在 PC机上的协议软件两部分 .协议软件提供一个人机界面 ,接收算法的分解信息 ,并将其按一定的数据结构组织 ,再将所有的子任务及其分解信息连接成一个作业 .DSP上的操作系统支持作业从上位机上加载 ,或通过 EPROM加载 .操作系统支持 VXI总线标准 ,并提供了数据通信、任务分配和并发进程管理等功能 .它根据任务分解信息 ,分配硬件资源 ,构造数据流向 ,建立子任务相互间的同步关系 ,完成与上位机的联络并输出结果 .实验结果表明 ,该文设计的硬件及其操作系统能够适应不同并行结构的需要 ,并得到满意的图像并行处理效果 .     

用PB进行分布式应用开发

分布式处理提供了一种方式来分解服务函数玫数据的处理和位置, 函数与数据以对客户透明的方式来处理。应用程序将利用来自网络的最好的资源来完成处理,也可以利用并行处理来达到较高方法是把多个请求转变到２式服务器。ＰＢ是一种客户机／服务器开发工具,其５．０及更高版本的提供一项功能称为分布式ＰＢ,通过 户对象的方式支持级结构。本文分析了分布式系统的主要部件和结构,提出了用ＰＢ进行分布式开发的方法和应注意的问题     

多种交易方式并存的实时交易系统中数据的组织访问方法

多种交易方式共存的复杂交易系统,数据的组织形式和访问方法决定了系统处理各类交易业务的任务调度方式、系统的性能指标和执行效率。研究实现的多任务实时交易系统采用共享内存组织交易数据,并对不同类别的数据采用不同的存储结构,改进、优化了数据的访问方式,支持高效的数据处理,使系统获得了极高的性能和运行效率,解决了由于多种交易方式共存引起的交易系统复杂、低效等问题。     

基于小波变换的图像压缩并行结构

本文结合小波图像压缩算法和VLSI并行处理的要求，提出了一种心动阵列与通用处理器组合的并行处理结构，具有易于VLSI实现、支持多种编码方案的优点，并在并行软件环境PVM上模拟其工作过程，证明该设计是可行的．     

Scaffolded writing and rewriting in the discipline: A web-based reciprocal peer review system

This paper describes how SWoRD (scaffolded writing and rewriting in the discipline), a web-based reciprocal peer review system, supports writing practice, particularly for large content courses in which writing is considered critical but not feasibly included. To help students gain content knowledge as well as writing and reviewing skills, SWoRD supports the whole cycle of writing, reviews, back-reviews, and rewriting by scaffolding the journal publication process as its authentic practice model. In addition, SWoRD includes algorithms that compute individual reviewer’s review accuracy, which is in turn used to support the various drawbacks of reciprocal peer reviews (e.g., variation in motivation or ability of reviewers). Finally, this paper describes an empirical evaluation showing that the SWoRD approach is effective in improving writing quality in content classes.     

PANGAEA—an information system for environmental sciences

PANGAEA is an information system for processing, long-term storage, and publication of georeferenced data related to earth science fields. Essential services supplied by PANGAEA are project data management and the distribution of visualization and analysis software. Organization of data management includes quality control and publication of data and the dissemination of metadata according to international standards. Data managers are responsible for acquisition and maintenance of data. The data model used reflect the information processing steps in the earth science fields and can handle any related analytical data. The basic technical structure corresponds to a three tiered client/server architecture with a number of comprehensive clients and middleware components controlling the information flow and quality. On the server side a relational database management system (RDBMS) is used for information storage. The web-based clients include a simple search engine (PangaVista) and a data mining tool (ART). The client used for maintenance of information contents is optimized for data management purposes. Analysis and visualization of metainformation and analytical data is supported by a number of software tools, which can either be used as ‘plug-ins’ of the PANGAEA clients or as standalone applications, distributed as freeware from the PANGAEA website. Established and well-documented software tools are the mini-GIS PanMap, the plotting tool PanPlot, and Ocean Data View (ODV) for the exploration of oceanographic data. PANGAEA operates on a long-term basis. The available resources are sufficient not only for the acquisition of new data and the maintenance of the system but also for further technical and organizational developments.