一种智能型数字电子记录傻的设计

进口的机械式记录仪，这种记录仪在使用过程中存在如卡纸、卡笔等缺点和不足。针对这些问题，提出了基于捣固车的数字多通道记录仪的设计和实现方案：记录仪采用分层控制的硬件结构。以Windows CE嵌入式系统作为系统平台，以主、子线程结构和数据驱动方式实现记录软件的实时记录与控制。     

无线遥测技术在电泵管理上的应用

通过对电磁卡片、磁卡式记录仪、电泵无线电遥测系统三种电原资料录取方法的对比分析可以看出,电泵无线遥测系统保存了其它两种记录仪的优点,实现了电泵资料的实时监测,对电泵全过程的监控和管理,比较适合胜利油田的电泵管理。     

实时多通道话音雷达同步记录仪的RMA实时可调度性分析

作者分析了多种实时任务可调度单调速率分析法(RMA)的适应性，应用一种改进的RMA法分析了作为强实时系统的多通道语音雷达记录仪事件特点，实现了系统的实时可调度性．实验表明，这种单调速率分析法是有效和可行的．     

微型低功耗数据记录仪设计

为了在电池供电且安装空间狭小的使用条件下，实现对测量数据的大容量存储，设计研制了一款微型低功耗数据记录仪．该记录仪以定点DSP（digitalsignalprocessor）TMS320VC5509A为核心，具备信号放大、程控滤波、数据采集和存储功能．该记录仪以不到8cm。的小尺寸，实现了最高800kSPS的数据采样及存储，且整体功耗小于800mW．数据存储介质采用普通SDHC卡，存储格式为FAT32，读出方式为USB口，且支持2．0协议．测试结果表明，该系统可以长时间稳定工作于黑匣子记录模式．     

基于5G与AI辅助决策的远程心电监测预警平台

江西省远程心电监测预警平台由心电云平台、动态心电记录仪、实时心电监测系统组成.动态心电记录仪可通过5G网络把患者12导联同步采集的心电数据实时传输至监测系统,可提供远程心电数据监测、异常心电实时预警、长程数据自动分析、AI辅助决策等专业服务[1].心电监测中心可全天候对远程实时心电数据进行异地监测,监测结束可为患者出具24 h动态心电图诊断报告.通过心电云平台建设,推动心电检查的分级诊疗模式和结果同质化,建设患者实时心电检查的监测、诊断平台.平台应用可使居民不出社区,便可享受大型医院远程监测及诊断服务,将大众心电监测成本最低化;同时通过远程心电监测平台,可筛查出高危患者,为患者救治争取宝贵时间,提高区域心脏类疾病的救治水平.     

基于ARM和嵌入式实时操作系统的汽车黑匣子设计

提出了一种基于ARM和嵌入式实时操作系统的汽车行使记录仪(黑匣子)的总体设计.整个系统以ARM微控制器核心板为硬件平台,以uC/O S-Ⅱ实时操作系统为软件平台.系统由图像采集模块、温度测量模块、速度及加速度测量模块、行车状态检测模块、数据存储模块和实时时钟模块等功能模块构成.这些模块在实时操作系统的管理下,实现对车辆运行状态、故障及事故前后各种数据及环境场景的采集和记录.系统在实验室模拟环境下进行了初步测试,基本符合实际应用的大部分要求.     

海冰厚度测量方法及仪器的应用研究

为更好地在辽东湾开展雷达海冰监测、预报技术服务,专门研制出雷达冰厚测量记录仪来测量海冰厚度.通过现场实时的海冰厚度测量试验,对雷达冰厚测量记录仪的可靠性和应用性做出了分析和校正.实验结果表明,雷达冰厚测量记录仪样机整体性能良好,现场标定雷达冰厚测量准确率大于87.5%,样机填补了国内空白.     

无人机载数据记录仪软件的实时性分析与优化

为了给飞行安全、 维护管理以及训练提供重要数据保障, 设计了无人机载数据记录仪, 对该记录仪软件的实时性进行了研究。对影响数据记录仪软件实时性的因素进行分析, 根据所需记录数据的帧长度及中断频率得到数据记录仪对中断响应延时的要求; 利用软件设置GPO（General Purpose Output）翻转, 结合示波器测得存储单元在不同寻址方式下的响应时间延时; 再根据寻址响应延时及乒乓缓存深度关系得到最优记录模式。通过搭建测试平台对优化前后的数据记录仪软件进行测试。结果表明, 优化后的数据记录仪最短中断响应时间间隔为56 μs。该数据记录仪能实时记录所有中断源数据, 丢帧率为0, 满足无人机对数据记录仪的高实时性要求。     

以nRF9E5为前端、以微机为后台的无线测温系统设计

本论文介绍了以nRF9E5为前端、以微机为后台的无线测温系统设计与实现。该系统能实时采集环境温度．并在计算机上用图形的方式实时显示出来，并可以存储一定量的温度数据。此外，该设计方法将看门狗监控电路与降低功耗结合在一起，在降低系统功耗的同时提高了系统的可靠性。     

基于嵌入式系统新型车辆行驶记录仪的硬件结构和软件设计

设计了一种基于嵌入式系统的新型车辆记录仪，介绍了该记录仪的一些主要功能，描述了其软硬件组成．通过阐述该记录仪工作时的硬件功能及数据的采集、处理、存储过程，显示出该记录仪相比于其他同类产品具有高效安全和实时处理大批量数据的功能．     

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.