基于有限状态的全周期序列混沌映射的研究

在有限长度的数字计算机中，混沌迭代序列是一个有限周期序列，其相关性能远远低于理想序列。基于skew tent映射，提出一种离散化的有限状态混沌映射，它允许精确的数值计算，没有舍入误差，通过选择合适的参数，映射能产生全周期长度的序列。仿真实验表明，归一化的序列平均周期对计算机精度不敏感，生成的二进制序列具有良好的相关性能。     

渤中坳陷活跃烃源岩分布特征及其对PL19-3油气成藏的控制作用

渤中坳陷存在多套烃源岩,烃源岩与油气分布关系的研究对该区油气勘探具有重要的意义。通过演化史分析、盆地模拟及地化分析技术对渤中坳陷活跃烃源岩的分布作了研究。渤中坳陷沙河街组活跃烃源岩主要分布于黄河口凹陷、庙西凹陷和渤东凹陷,而渤中凹陷主体区域沙河街组烃源岩已经达到了高过成熟阶段,仅在边缘分布少许活跃的烃源岩。东下段活跃烃源岩主要分布于庙西凹陷的北段、渤东凹陷以及渤中凹陷的东部边缘。活跃烃源岩的分布控制了油气来源,PL19-3油源及油气成熟度研究表明其油气主要来源于周边活跃烃源岩,渤中坳陷周边沉降中心高成熟度地区对其贡献有限。     

油气藏增产措施优选的灰色决策方法研究

油气藏增产措施优选是一个多目标决策问题。对该问题建立评价指标(即:措施投入、措施增油量、措施净收益、措施有效期、投资回收期、地质有效率、经济有效率、措施投入产出比、措施最低增油量)的相关矩阵,运用线性变换将相关评价指标转换成彼此独立的指标参数,并根据这些参数对总体特征的贡献率确定新指标权重,在新的评价矩阵和权重的基础上,应用灰色关联度决策方法对措施方案进行评价和优选,消除了指标相关性的影响,决策结果更为有效。     

基于并行技术的机载多天线耦合快速算法

分析机载天线间的干扰情况必须首先解决电大尺寸电磁计算问题.首先讨论一种基于空域分解技术及局域网技术的并行数值算法,这种算法将一个电大尺寸散射体表面划分为一系列子域分别进行处理,在求解子域电流的过程中使用了快速多极子技术进行加速运算,然后运用这种算法对机载天线间的耦合进行分析并对算法的性能进行了总结.     

灰色关联分析法在油气管道半定量风险评价中的应用

肯特(W．kent Muhlbauer)管道风险评价法是一种半定量风险评价法,但是该方法在我国还处在起步阶段,其理论基础和应用技术都很不完善。为了有效处理评分中存在的主观性和不确定性因素,已经把模糊综合评判法引入到管道风险评价中。但是,传统的相对风险值计算还不够准确,为此介绍了灰色关联分析在油气管道半定量风险评价中的应用。通过对影响管道风险的评价指标(因素)体系的综合分析,确定了灰色综合评价的层次结构模型。构建了由第三方破坏指数、腐蚀指数、设计指数、错误指数、介质危险指数5大指标体系构成的管道系统风险综合评价指标体系,并采用层次分析与专家打分相结合的方法计算权重。在油气管道半定量风险评价中应用灰色关联分析法,可以使评价结果更准确。     

Allocentric Versus Egocentric Spatial Memory After Unilateral Temporal Lobectomy in Humans.

Thirty patients who had undergone either a right or left unilateral temporal lobectomy (14 RTL; 16 LTL) and 16 control participants were tested on a computerized human analogue of the Morris Water Maze. The procedure was designed to compare allocentric and egocentric spatial memory. In the allocentric condition, participants searched for a target location on the screen, guided by object cues. Between trials, participants had to walk around the screen, which disrupted egocentric memory representation. In the egocentric condition, participants remained in the same position, but the object cues were shifted between searches to prevent them from using allocentric memory. Only the RTL group was impaired on the allocentric condition, and neither the LTL nor RTL group was impaired on additional tests of spatial working memory or spatial manipulation. The results support the notion that the right anterior temporal lobe stores long-term allocentric spatial memories. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

网络管理中事件关联检测机制的研究

网络事件的关联检测是网络管理需要解决的一个关键问题,本文根据分布式网络管理的特点,首次明确定义了网络事件的基本关联关系,在此基础上提出了一种基于Petri Net的事件关联检测机制,实现了基于事件内容的细粒度关联检测,并且在事件检测中充分考虑了时间因素,有效地提高了事件关联检测的准确性。     

文脉中的环节建筑

环节建筑产生于建筑与城市的内在联系之中，它将“文脉”的含义拓展到基地、城市公共空间体系和城市职能等领域。阐述了环节建筑的基本概念，在此基础上分析了环节建筑在上述三个领域中所扮演的角色及其相互关系。     

Qualitative representation of spatial knowledge in two-dimensional space

Various relation-based systems, concerned with the qualitative representation and processing of spatial knowledge, have been developed in numerous application domains. In this article, we identify the common concepts underlying qualitative spatial knowledge representation, we compare the representational properties of the different systems, and we outline the computational tasks involved in relation-based spatial information processing. We also describesymbolic spatial indexes, relation-based structures that combine several ideas in spatial knowledge representation. A symbolic spatial index is an array that preserves only a set of spatial relations among distinct objects in an image, called the modeling space; the index array discards information, such as shape and size of objects, and irrelevant spatial relations. The construction of a symbolic spatial index from an input image can be thought of as a transformation that keeps only a set of representative points needed to define the relations of the modeling space. By keeping the relative arrangements of the representative points in symbolic spatial indexes and discarding all other points, we maintain enough information to answer queries regarding the spatial relations of the modeling space without the need to access the initial image or an object database. Symbolic spatial indexes can be used to solve problems involving route planning, composition of spatial relations, and update operations.     

Management of multidimensional discrete data

Spatial database management involves two main categories of data: vector and raster data. The former has received a lot of in-depth investigation; the latter still lacks a sound framework. Current DBMSs either regard raster data as pure byte sequences where the DBMS has no knowledge about the underlying semantics, or they do not complement array structures with storage mechanisms suitable for huge arrays, or they are designed as specialized systems with sophisticated imaging functionality, but no general database capabilities (e.g., a query language). Many types of array data will require database support in the future, notably 2-D images, audio data and general signal-time series (1-D), animations (3-D), static or time-variant voxel fields (3-D and 4-D), and the ISO/IEC PIKS (Programmer's Imaging Kernel System) BasicImage type (5-D). In this article, we propose a comprehensive support ofmultidimensional discrete data (MDD) in databases, including operations on arrays of arbitrary size over arbitrary data types. A set of requirements is developed, a small set of language constructs is proposed (based on a formal algebraic semantics), and a novel MDD architecture is outlined to provide the basis for efficient MDD query evaluation.