基于共享RAM的计算机与多单片机通信接口的实现

设计了计算机与多台MCS-51单片机通信接口电路．主计算机与各组主单片机之间、各组辅助单片机与各分单片机之间均采用RS-485接口实现远距离串行通信：各组主单片机与辅助单片机采用普通的SRAM作为共享RAM，通过仲裁电路、握手信号抢占共享RAM实现并行通信．此设计方案充分利用了系统资源，有效地实现了主计算机与多台MCS-51单片杌之间的远距离数据采集与管理．适用于智能小区的抄表系统等需要主计算机与多台单片机组成的测控系统中．     

激光扫描在线检测仪电控系统研究

针对目前自动检测手段较少且精度不高的状况，研制了激光扫描在线尺寸检测仪，解决了武器装备柔性制造系统的检测与监控中的关键技术问题。该检测仪的测量精度达到０．５μｍ，已形成系列化产品，投入生产应用。本文主要介绍了检测仪的电控系统，该系统采用单片机进行系统控制、数据采集、数据处理以及系统测量和误差分析等。     

集散式数据采集系统多机通讯的设计与实现

提出了集散式数据采集系统多机通讯的实现方案。阐述了多机通讯原理及实现方法、硬件设计及软件设计。其中的硬件是针对应用最广泛的MCS-51系列中的8031单片机设计的。利用8031单片机串行口的多机通讯模式，构成集散式数据采集系统。从单片机进行数据采集及初级处理，而主单片机则汇总数据并完成综合处理，同时还能根据情况随时向各个从单片机发出操作命令。采用RS-422A标准串行接口代替常用的RS-232C标准串行接口；采用差动接收、差动发送的工作方式，提高了通讯可靠性。在软件上，把通讯数据分为数据帧和命令帧，分别传送。这有利于程序的模块化设计。该方法可以推广应用于其他系统，对其他系统的硬件电路设计及程序设计具有一定的参考价值。     

基于DSP+MCU的小型捷联惯性导航计算机系统

结合现代导航技术发展的特点,设计了一种基于DSP的捷联惯性导航计算机.该导航计算机采用DSP 单片机的双CPU体系结构,DSP主要负责数据计算,而单片机主要负责数据采集与系统级的控制,同时CPLD完成译码和控制.通过DSP的HPI口来实现单片机与DSP的数据交换.给出了系统的硬件结构框图和程序设计流程图,利用本方案,对于实现军事和工程领域中导航系统微小型化、降低系统成本和体积具有重要意义.     

一种基于SPCE061A的远程多路数据采集系统设计

运用16位单片机和通用商用计算机，组成一个远程数据采集系统，实现了多路动态数据的连续采集，还可对数据进行实时处理和显示。     

基于CPLD的高速音频数据采集系统的设计及实现

介绍了在地下漏水探测仪中用CPLD实现高速音频数据采集控制及与单片机的接口逻辑设计，其中，总线接口，A／D采样控制，双端口RAM缓存，控制译码，时序逻辑电路均由CPLD实现，整个系统控制灵活，结构紧凑，体积小，功耗低，抗干扰能力强，适合于室外作业．     

CCD信号的高速A／D转换及数据采集系统

研制了一个可以对ＣＣＤ信号实现高速数据采集的系统，该系统由８０３１单片机控制，采用频率可调的ＣＣＤ驱动电路、高速视频Ａ／Ｄ转换器以及总线隔离技术，实现对ＣＣＤ信号的数据采集和处理，该系统不同于ＤＭＡ系统，结构简单、价格便宜、适用范围广。     

基于MSP430和蓝牙技术的数据传输系统

提出一种基于MSP430系列单片机和蓝牙技术的数据采集传输系统设计，详细论述了系统的硬件设计方案及软件的工作流程。该系统整体的功耗很低，且运行稳定可靠、操作方便、抗干扰能力强，实现数据采集和无线传输功能，利于智能家用水表、电表等的使用和管理。     

线阵CCD数据采集与检测控制系统的设计

介绍了用CCD作为传感器，实现自动测控高速数据采集与处理的系统设计。该系统以80C552单片机为控制核心，采用总线隔离技术，实现高速数据采集与数据处理分时进行。     

基于V/F的智能多路数据采集系统及串口通信

智能多路数据采集系统实现了多路温度采集与检测，利用仪用放大器AD620进行信号放大，采用LM331型电压-频率转换器进行电量转换，采用89S52单片机进行数据采集及存储并用Visual Basic 6.0实现单片机与PC机的通信；最后给出了智能多路数据采集系统在梅江小区综合办公楼生态能源示范系统的应用数据。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.