机场智慧飞行区内涵、分级与评价

对机场智慧飞行区的内涵、分级与评价进行诠释与定义,明确了智慧飞行区运行目标为"全时安全、零误高效、最优效益、绿色环保".借鉴高等智慧生物的基本要素和能力,将智慧飞行区定义为由先进的基础设施、服务设备、感知网络、数据中心、通信网络和能源系统组成,并具有不同程度的主动感知、自动辨析、自主决策、自主适应、自主行动、动态交互和持续供能等智能能力的飞行区.在此基础上,明确了智慧飞行区智能能力的具体技术内涵以及智能能力之间的逻辑关系.最后,从两个维度上提出了智慧飞行区分级和评价体系.     

5G移动通信网络关键技术综述

为适应未来海量移动数据的爆炸式增长,加快新业务新应用的开发,第五代移动通信(fifth generation mobile communication network,5G)网络应运而生.目前,国内外已经逐渐明确了5G的愿景和需求,如何将现有技术和多种潜在的新技术进行融合以实现5G网络成为下一步的研究与发展重点.面向未来5G的技术发展,介绍5G的概念、应用场景以及终端用户对5G的相关需求;然后,重点阐述5G在无线网络方面具有发展前景的10大关键技术,包括:超密集异构网络、自组织网络、D2D (device-to-device)通信、M2M (machine-to-machine)通信、软件定义无线网络、信息中心网络、内容分发网络、移动云计算、软件定义网络/网络功能虚拟化、情景感知技术.给出了每种技术的基本概念或原理,以及应用到5G网络时潜在的研究问题.最后概述了5G的发展趋势及存在的难点.     

高等学校智慧校园架构与应用研究

介绍了智慧校园的概念及高校建设典型案例,设计了高等学校智慧校园总体架构,包括智能感知、网络融合、数据集中、公共平台、应用集成、信息服务6个层面,研究了智慧校园在高等学校教学、科研、管理、生活、服务等方面所提供的智慧应用与服务。     

基于5G移动通信系统融合定位的关键技术与系统架构演进

第5代(5G)移动通信系统驱动着互联网应用向物联网和工业互联网的方向发展.随着各类新型终端(如增强现实/虚拟现实设备、低功耗传感器、无人化智能机器设备)接入网络,5G应用对定位服务的需求持续增长,并且在定位场景、定位精度、定位安全性等方面出现了差异化、多样化的需求.基于5G网络提供的通信能力,可以融合5G带内定位、卫星定位、视觉定位等多种定位手段,从而大幅提高复杂环境下室内外综合定位系统的覆盖范围与定位精度.本文从系统架构和关键技术两个方面介绍了5G融合定位领域研究的最新进展,重点分析了5G带内无线定位和5G融合定位的技术路线,并展望了面向6G的时空服务系统的架构演进与技术挑战.     

群智感知网络研究现状与发展

群智感知网络由于能很好地解决大规模感知网络中部署维护成本高这个关键难题, 近年来成为物联网研究的热点。笔者主要对群智感知网络的最新研究现状进行综述。阐述了群智感知网络的基本定义、起源和架构, 分析了其特点以及与传统感知网络的区别与联系; 分别从环境感知、公共基础设施感知以及社会感知3 方面对群智感知网络的研究现状进行总结; 分析和指出了群智感知网络未来3 个重要的研究方向和挑战, 为深入研究提供参考和借鉴。     

基于抗体浓度的网络安全态势感知模型

提出了一个基于抗体浓度的网络安全态势实时定量感知模型.给出了模型中抗原、抗体、抗体浓度等概念的定义及其形式化表示,论述了模型的体系架构和工作原理,并与相关技术进行了综合对比.理论分析和实验结果表明该模型是有效的,且具有实时性好、自适应能力强等优点,为实时、定量感知计算机网络与信息系统的安全风险提供了一种新思路.     

一种支持智能环境构建的中间件

在普适计算领域中,中间件已经成为分布式智能环境开发的关键.基于＂不动机器人＂的概念,介绍一种中间件ROS.以ROS为核心,构建了一个典型智能环境,并在信息服务能力、系统集成能力和环境感知能力3个方面对该中间件进行了实验验证.结果表明用于机器人开发的中间件在智能环境构建中具有有效性.     

物联网体系架构及其关键技术探讨

根据网络分层的基本原理,从物联网的基本定义和关键技术的角度出发,将物联网分为信息感知层、物联接入层、网络传输层、智能处理层和应用接口层。分别论述了每一层的关键技术,该架构将对象、用户、网络提供者、应用开发者、服务提供者等统一起来,构成物联网技术体系结构,为制订各种接口、协议和规范提供依据,同时也为物联网组网提供参考模型。     

社会安全事件智能监测与预警系统及综合平台

中国对社会治安防控体系建设日益重视,尤其在基础设施建设和装备研制方面取得了长足发展,但在社会安全事件监测预警方面仍存在不足。研究社会安全事件智能监测预警相关问题,不但是技术前沿难题也是国家公共安全保障的重大需求。通过从感知装备层、警情事件识别预警系统层和警情事件综合研判指挥层,分析了社会安全事件智能与预警系统综合平台的逻辑关系。从智能警车、警员可穿戴装备、治安防控场所预警系统、公安交通网络预警系统和预警与指挥平台6个部分介绍了平台的系统架构。结果表明:系统平台的构建能够解决时空尺度大、相关信息多源异构、目标特征复杂、警情事件耦合因素多等难点,提高社会安全事件预测预警能力,为智能警用装备与智慧警务的发展提供基础。     

服务外包企业的网络能力对创新绩效影响研究

从网络战略、结构、关系3个层面将服务外包集群创新网络内企业的网络能力划分为网络愿景、网络构建、网络关系管理3个维度,并运用Netlogo仿真模拟的方法模拟了服务外包企业的网络能力对企业创新绩效的影响。研究结果表明:网络愿景能力通过识别集群创新网络中所蕴含的创新资源,帮助服务外包企业制定创新战略,对创新绩效有正向影响;网络构建能力帮助服务外包企业构建丰富的外部创新网络,但是由于现阶段中国服务外包企业能力与资质不足,网络构建能力对创新绩效的积极影响有一定的滞后性;网络关系管理能力加强服务外包企业与合作伙伴之间的合作信任以及资源共享程度,对创新绩效有正向影响。研究结论将为中国服务外包企业培育和提高网络能力,实现网络式创新,提高企业创新绩效提供参考依据。     

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.     

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).     

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.     

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.