面向中英平行专利的双语术语自动抽取

双语术语自动抽取是自然语言处理领域的重要研究课题之一,对于跨语言检索、机器翻译,以及双语词典的构建等具有重要意义。该文提出了一种面向中英平行专利语料的无监督双语术语自动抽取算法。该算法利用基于短语的统计机器翻译模型中的短语对齐和基于条件随机场的组块分析,实现双语术语自动抽取,同时借助专利语料的领域主题信息进一步提高双语术语抽取的准确率。实验表明:该算法在5 867组电通信技术领域的中英平行专利文档上进行双语术语的自动抽取,准确率达到94.00%。     

全球自动驾驶发展现状与趋势（下）

继上一期对全球自动驾驶技术与产业发展的分析,本期软科学基于中科院上海生命科学信息中心1和上海市科学学研究所2的有关研究成果,重点就各国自动驾驶技术研发布局与产业化发展策略进行梳理,分析我国及上海自动驾驶领域的发展基础与现状,提出布局重点的建议。     

基于专利分析的我国液晶面板自动光学检测技术发展现状研究

对我国液晶面板自动光学检测技术的专利申请总体态势、主要申请人、技术生命周期、热点技术领域和法律状态等方面展开分析。研究结果显示,我国液晶面板自动光学检测技术目前尚处于技术成长期,企业是液晶面板自动光学检测技术的研发、创新主体,未来我国液晶面板自动光学检测技术的专利活动以自动光学检测方案供应商为主。     

基于图像信息处理的车辆自动驾驶控制方法

在分析驾驶员利用图像信息进行驾驶的一般规律基础上,提出了利用图像信息处理技术实现车辆路迹追踪自动行驶的控制方法和规则,并进行了模拟计算和试验．结果表明,所提出的控制方法和规则用于进行车辆的自动驾驶是可行的．     

基于图像信息处理的车辆自动驾驶控制方法

在分析驾驶员利用图像信息进行驾驶的一般规律基础上,提出了利用图像信息处理技术实现车辆路迹踪自动行驶的控制方法和规则,并进行了模拟计算和试验,结果表明,所提出的控制方法和规则用于进行车辆的自动驾驶是可行的。     

人工智能技术专利分析及对广西的发展建议

基于incoPat全球科技分析运营平台,对人工智能技术专利信息进行的分析研究表明,中国已成为全球人工智能技术专利申请最多的国家,且人工智能技术专利申请态势良好,处于快速发展的阶段;G06F、G06Q、G06K、G06N等计算、推算、计数领域是人工智能技术专利的重点申请方向,相对而言,人工智能技术与其他领域相结合应用的专利申请数量较少。广西人工智能技术研究尚处于起步阶段,缺乏科学布局,相关研究深度和广度不足,文章对此提出了一些参考建议。     

基于文献计量的全球氢燃料电池技术竞争态势分析

在全球气候变暖和能源供给日益紧张的背景下,氢燃料电池因其绿色高效的优势受到各国的关注。该文梳理和分析了主要国家/地区氢燃料电池发展战略与规划;并采用文献计量和文本挖掘技术,分析了第五代氢燃料电池——质子交换膜燃料电池的发展态势。研究结果表明:主要国家十分重视氢燃料电池技术,近年来纷纷出台政策加强战略布局和研发投入。从专利数量变化趋势和分布上看,氢燃料电池技术发展可能处于瓶颈期;日本和美国技术竞争优势明显,日本是该领域最大的技术来源国和技术市场国,且专利集中在丰田、松下电器等大型跨国企业手中,跨国企业技术垄断趋势明显;质子交换膜燃料电池技术研发热点主题主要集中在膜电极组件、辅助与控制系统等技术领域。     

基于引文的专利信息分析以及专利信息在化工领域的引用

介绍了专利信息分析的几种方法,阐述了基于引文的专利信息分析指标,包括专利数量、影响指数、技术独立性、科学连接、专利内容地图、时间内容地图和引文网络等,指出在SCI引文中,化工专利占到53%,分子生物学和微生物学是专利引文的核心,是引文网络中最重要的技术领域。     

基于DII的半导体激光加工领域专利分析

利用DII数据库的专利信息资源,采用专利分析的研究方法,对1963—2014年收录的有关半导体激光加工领域的专利进行了分析,以了解全球半导体激光加工制造领域的研发趋势、国家布局、技术热点和主要竞争机构. 分析表明,半导体激光加工技术领域专利申请量近年始终保持增长的趋势;中国申请专利数量处在全球排名第三的位置,主要的竞争对手为日本和美国;主要的竞争机构几乎被日本所垄断;主要的技术领域集中在半导体器件、焊接和利用受激发的器件等方面.     

基于转移专利的国内校企技术流动多维特征分析 ——以废水处理领域为例

以废水处理技术为例,从IncoPat数据库获取校企转移专利,从专利转移年龄、区域流动、主体供需关系及技术主题4个维度分析了该领域内校企技术流动的特征.通过专利技术转移年龄分析,发现废水处理领域的校企转移专利大部分发生在8年以内;运用桑基图呈现转移专利区域内流动特征,揭示了该领域校企转移专利主要以省内转移为主,且长三角区域是专利转移最活跃的地域;利用Gephi软件绘制主体供需关系网络图谱,发现主要高校的技术流动对象并不重合;通过关键词聚类并结合3D沙盘分析,显示各个高校拥有不同的优势技术领域.     

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.