调幅波调制噪声的单模激光随机共振

将噪声和调幅波以相乘的形式引入到单模激光系统,用调幅波调制色抽运噪声,采用线性化近似方法计算了由色抽运噪声和色量子噪声驱动下的光强相关函数,通过对相关函数的傅里叶变换,得到光强的功率谱及信噪比.结果表明:信噪比随着抽运噪声自关联时间τ1和载波信号频率ω的变化均出现了广义随机共振;当抽运噪声自关联时间τ1大于某一值时,信噪比R是正值,R随τ1的增大出现一个极大值,即出现随机共振现象;信号和噪声引入形式不同,随机共振的形式也不同.     

关联白噪声作用下双模激光增益模型的随机共振

运用线性近似方法,计算得到了关联白噪声和输入周期信号共同作用下双模激光增益模型输出信号光强的自关联函数、功率密度谱和信噪比.讨论了信噪比随系统参数的变化.研究发现:在噪声关联程度λ0时,信噪比随噪声强度的变化出现了传统的随机共振现象,系统双模参数都会影响信噪比大小和共振现象;在输入信号频率Ω较小、净增益系数a1较大时,信噪比随自饱和系数c2及双模交叉耦合系数b的变化均出现随机共振,且随着Ω的增大或a1的减小,共振现象逐渐减弱,直至消失.     

单模激光线性模型瞬态的随机共振

根据线性化的单模激光输出光强方程,运用计算光强的相关函数,得到光强的功率谱及信噪比的方法,计算了在δ函数形式关联的两白噪声驱动下单模激光线性模型瞬态的功率谱及信噪比,发现了瞬态的随机共振,研究了信噪比随时间的演化及到达定态的时间,分析了参数对随机共振的影响。     

单模激光线性模型初态的随机共振

根据线性化的单模激光输出光强方程,运用计算光强的相关函数,得到光强的功率谱及信噪比的方法,对δ函数形式关联的两白噪声驱动的单模激光线性模型瞬态随机共振进行了研究,具体计算了瞬态的第一个周期的功率谱及信噪比,发现在一定的条件下也可出现随机共振,并和定态的随机共振进行了比较．     

用改进的线性近似方法研究单模激光损失模型随机共振

采用周期信号、具有实虚部关联的量子噪声和抽运噪声作用下的单模激光损失模型,运用改进的线性化近似方法计算得到了模型输出光强的相关函数、功率谱及信噪比.分析了激光的净增益系数、噪声强度和输入信号对信噪比(SNR)随量子噪声实虚部关联系数(λ)变化曲线的影响.研究发现了信噪比随量子噪声实虚部系数的变化出现了新的随机共振现象.     

交叉关联噪声驱动的饱和激光模型的随机共振现象研究

考虑噪声对不同的激光模式的影响是统计物理学中研究的一个热点问题.以关联噪声驱动的饱和激光模型的场强方程为基础,导出光强满足的有周期信号策动的郎之万方程,采用线性化方法得到了受信号调制后系统的输出功率谱和信噪比,研究了交叉关联高斯白噪声驱动的饱和激光模型系统的随机共振现象.结果表明信噪比随量子噪声强度,泵噪声强度变化产生随机共振,输入信号的振幅,噪声关联强度对信噪比具有重要的影响.文章对认识饱和模型激光系统的随机动力学性质,提高饱和模型激光系统的工作效率和输出稳定性等都具有重要的理论指导意义.     

关联噪声驱动下单模激光线性模型的随机共振

根据线性化的单模激光输出光强方程，直接计算光强的相关函数，得到光强的功率谱及信噪比的方法，计算了具有δ函数形式关联的两白噪声驱动的单模激光线性模型在输入信号后其输出信噪比，发现了随机共振现象，根据计算结果讨论了噪声强度和噪声间互关联程度对信噪比的影响，由于推导用的是精确解析表达式，因此所有参数不受限制，可以探讨近似方法适用范围外的规律。     

信号调制下单模激光增益模型的动力学性质

采用色泵噪声和实、虚部间关联的量子噪声驱动的单模激光增益模型,运用线性化近似方法,计算了调制信号输入时激光系统的稳态光强关联函数C(t),研究了系统的动力学性质,发现泵噪声及量子噪声实、虚部间关联等均对光强关联函数随时间的演化形式有较大的影响;当泵噪声的色关联为短时关联时,光强关联函数随时间的演化经历了从单调衰减到出现极小值再到趋于稳定的过程;当泵噪声色关联为长时关联时,关联函数随时间的演化经历了从单调衰减到周期性振荡衰减的过程.这表明周期性信号和泵噪声的"色"对激光系统的动力学行为有很大的影响.     

白噪声关联调制对单模激光信噪比的影响

用线性化近似方法计算了单模激光增益模型的光强功率谱及信噪比,以噪声、信号频率和时间周期调制频率为参数讨论信噪比R随量子噪声强度D的变化,发现负关联情况下会出现随机共振,对噪声间关联程度的时间周期调制是引发随机共振的重要因素.     

关联噪声驱动下单模激光系统的随机共振现象

研究了具有实虚部关联的量子噪声和泵噪声驱动的单模激光系统受信号调制后的输出信噪比,发现输出信噪比随量子噪声实虚部间关联系数的变化曲线有极大值,即存在随机共振现象,且信噪比极大值处对应的量子噪声实虚部间关联系数λq=0,分析了量子噪声强度、泵噪声强度、输入信号振幅、净增益对随机共振的影响．     

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).     

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.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.