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GIS and ANN model for landslide susceptibility mapping

Journal of Geographical sciences 2001年第3期11卷 374-381页

作者： XU Zeng-wang (State Key laboratory of Resources and Environment Information System, institute of Geographic {2. and Natural Resources Research, CAS, Beijing 100101, china) State Key laboratory of Resources and Environment Information System Institute of Geographic Sciences and Natural Resources Research CAS

Landslide hazard is as the probability of occurrence of a potentially damaging landslide phenomenon within specified period of time and within a given area. The susceptibility map provides the relative spatial probability of landslides occurrence. A study is presented of the application of GIS and artificial neural network model to landslide susceptibility mapping, with particular reference to landslides on natural terrain in this paper. The method has been {2. to Lantau Island, the largest outlying island within the territory of Hong Kong. A three-level neural network model was constructed and trained by the back-propagate algorithm in the geographical database of the study area. The data in the database includes digital elevation modal and its derivatives, landslides distribution and their attributes, superficial geological maps, vegetation cover, the raingauges distribution and their 14 years 5-minute observation. Based on field inspection and analysis of correlation between terrain variables and landslides frequency, lithology, vegetation cover, slope gradient, slope aspect, slope curvature, elevation, the characteristic value, the rainstorms corresponding to the landslide, and distance to drainage Une are considered to be related to landslide susceptibility in this study. The artificial neural network is then coupled with the ArcView3.2.GIS software to produce the landslide susceptibility map, which classifies the susceptibility into three levels: low, moderate, and high. The results from this study indicate that GIS coupled with artificial neural network model is a flexible and powerful approach to identify the spatial probability of hazards.

关键词： GIS artificial neural network model landslide susceptibility mapping

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基于混沌映射的UWB-IR抗截获性能分析

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通信学报 2005年第10期26卷 138-142,148页

作者：马龙王庭昌解放军理工大学通信工程学院江苏南京210007 总参第63研究所江苏南京210007

近年来,超宽带脉冲无线电UWB-IR传输技术以低功耗、高速率、低检测率和低截获率等特点受到军事通信领域的关注。通过将混沌映射应用于UWB-IR,并提出了一种新的混沌编解码模块,进一步增强了UWB-IR的抗检测能力和抗截获能力。然后,通过仿... 详细信息

近年来,超宽带脉冲无线电UWB-IR传输技术以低功耗、高速率、低检测率和低截获率等特点受到军事通信领域的关注。通过将混沌映射应用于UWB-IR,并提出了一种新的混沌编解码模块,进一步增强了UWB-IR的抗检测能力和抗截获能力。然后,通过仿真验证了此应用的可行性。

关键词： UWB-IR 多进制脉冲位置调制 logistic映射帐篷映射贝努利映射

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An　Approximate　Algorithm　of　Generating　Variates　with　Arbitrary　Continuous　Statistical　Distributions

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Journal of Systems Engineering and Electronics 1996年第1期7卷 35-42页

作者： Zhang Zhengjun Yang Ziqiang Zhang Chunming&Feng Yuncheng(School of Management, Beijing University of Aeronautics&Astronautics, Beijing 100083, china) (institute of Computational Math.& Set. Eng. Computing,Academia Sinica, Beijing {2., china) (Dept. o School of Management Beijing University of Aeronautics & Astronautics Beijing 100083 China institute of Computational Math. & Sci. Eng. Computing Academia Sinica Beijing 100080 China Dept. of Statistics University of North Carolina Chapel Hill U.S.A.

This paper discusses an approximate algorithm method which can be used to generate arbitrary non-uniform continuous variates. Percentile calculations of arbitrary continuous distributions are *** addition, the idea Of... 详细信息

关键词： Variate generation Monotonicity Curve fitting probability computing.

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生命表理论与方法

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系统工程理论与实践 1995年第12期15卷 69-76页

作者：吴国富安万福王寿仁中国科学院应用数学研究所

本文给出了寿命分布的极大似然估计，从而给出了现时人口寿命各参数的严格的概率意义，并利用１９９０年人口普查１０％抽样数据，求得中国人口寿命表和简略寿命表．

关键词：人口生命表寿命统计

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Genome-wide SNP in silico detection of Lentinula edodes via whole genome sequencing

Genome-wide SNP in silico detection of Lentinula edodes via ...

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中国菌物学会第五届会员代表大会暨2.11年学术年会

作者： CHEN Xiang BAO Da-Peng (National Research Center for Edible Fungi Biotechnology and Engineering Key laboratory of applied Mycological Resources and Utilization,Ministry of Agriculture,{2. Shanghai Key laboratory of Agricultural Genetics and Breeding institute of Edible Fungi,Shanghai academy of Agricultural sciences,Shanghai,{2.)

＜正＞Analysis of single nucleotide polymorphisms（SNPs） emerges as an important tool in evolutionary biology and *** we report the in silico discovery and analysis of SNPs across the whole genome of two protoplast monokaryons（TPMs） of basidiomycete fungi Lentinula edodes via the high-throughput sequencing *** our knowledge,this is a novel study in which different protoplast monokaryons are utilized for SNPs detection and *** sequence information including 2.0M and 2.0M nucleotide bases was generated from TPMs yielding approximately 80%of whole genome *** used surpassed 380K and 410K reads of TPMs for the de novo assembly of two contig sets with an overall estimated depth of 5.67-fold and 6.05-fold coverage,*** of the contigs between TPMs identified 108,2.5 putative SNPs owning a high probability of at least 10-fold *** SNPs reveal TPMs having similar intra-strain SNP frequencies,and the ratio of transition to transversion among these SNPs being similar to the ratio reported in other *** verify the confidence of detected SNPs,2.,044 SNPs were mapped onto 43,912.positions that uniformly distributed over the sequenced chromosomes of Coprinopsis *** result shows high sequence conservation among closely related fungal *** addition,the gene structure of TPMs was constructed for SNPs classification according to their distribution in genome ***,this study indicates the utility of using next generation sequencing technologies to identify large numbers of reliable ***,the method combination of SNP detection and novel algorithm allows an efficient approach for the development of high-density genotyping platforms in fungal species.

关键词： Lentinula edodes whole genome sequencing contig assembly SNPs

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资源获胜率保证的网格任务调度算法

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计算机工程与应用 2009年第30期45卷 84-87页

作者：姚磊戴冠中王丹丹张慧翔西北工业大学自动化学院西安710072 广东工业大学应用数学学院广州510006

为保证多资源竞争下单个资源的获胜率,建立一个资源富裕型的网格计算环境模型,基于此模型提出了一个基于博弈论的资源竞争获胜率保证算法(GVP)。GVP算法通过对已知信息分析,预测对手在下一次博弈中的行动,并在此基础上确定自己的行动,... 详细信息

为保证多资源竞争下单个资源的获胜率,建立一个资源富裕型的网格计算环境模型,基于此模型提出了一个基于博弈论的资源竞争获胜率保证算法(GVP)。GVP算法通过对已知信息分析,预测对手在下一次博弈中的行动,并在此基础上确定自己的行动,使资源累计的获胜率维持在一个可接受的范围。通过实验比较了使用不同竞争策略资源的获胜率。对实验结果进行了深入分析,讨论了两资源博弈的纳什均衡解。

关键词：网格计算博弈论纳什均衡获胜率保证

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单电子双缝及多缝衍射的定量分析

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天津大学学报（自然科学与工程技术版） 2002年第2期35卷 250-252页

作者：周佩瑶武星天津大学理学院天津300072 天津大学精密仪器及光电子工程学院天津300072

以单电子的双缝和多缝衍射为例 ,用费曼的路径积分理论对量子衍射态进行了定量分析 ,方法简单、明了 .

关键词：多缝衍射电子衍射传播函数路径积分衍射态概率波双缝衍射

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Survival probability and ruin probability of a risk model

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applied mathematics(A Journal of {2. Universities) 2008年第3期23卷 256-264页

作者： LUO Jian-hua College of Science,Central South University of Forestry and Technology,Changsha 410004,china institute of Statistics,Central South University of Forestry and Technology,Changsha 410004,china. College of Science Central South University of Forestry and Technology Changsha 410004 China institute of Statistics Central South University of Forestry and Technology Changsha 410004 China

In this paper, a new risk model is studied in which the rate of premium income is regarded as a random variable, the arrival of insurance policies is a Poisson process and the process of claim occurring is p-thinning process. The integral representations of the survival probability are gotten. The explicit formula of the survival probability on the infinite interval is obtained in the special casc cxponential *** Lundberg inequality and the common formula of the ruin probability are gotten in terms of some techniques from martingale theory.

关键词： risk model thinning process survival probability martingale ruin probability integral representation

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Research on Improved Genetic Algorithm for Low-dimensional and Multimodal Function Optimization

Research on Improved Genetic Algorithm for Low-dimensional a...

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2.11 chinese Control and Decision Conference（CCDC）

作者： Liqing Xiao1,2.Huaxiang Wang1,Xiaoju Xu2.1.School of Electrical Engineering & Automation,Tianjin University,Nankai District,Tianjin 300072.china 2.Department of Information & Electrical Engineering,Xuzhou institute of Technology,Xuzhou Jiangsu 2.1111,china

In order to overcome the disadvantages that simple genetic algorithm had in low-dimensional and multimodal function optimization,an improved algorithm was *** new algorithm divided the search interval into different areas by method of orthogonal decomposition,produced initial populations that had different individual distribution density by using interval algorithm,and gave each individual an attribute that marked the area which it was in and guaranteed there was more than one individual in each area during the operating process of the *** swarm algorithm was introduced to the mutation operation of genetic algorithm to overcome the shortage of genetic algorithm,that was,the poor search ability in local areas,especially those that had low individual distribution *** applied to six-hump camel back function and Branin RCOS function optimization,the simulation results show that,under the same experiment condition,in contrast to other improved algorithms,the new one improves the probability of searching to all extreme points,and has stronger ability of low-dimensional multi-modal function optimization,on the premise that the convergence precision is not affected.

关键词： Genetic Algorithm Interval Algorithm Particle Swarm Algorithm Six-hump Camel Back Function Branin RCOS Function

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γ Photon Generation by Relativistic Laser-solid-target

γ Photon Generation by Relativistic Laser-solid-target

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CCAST“2.02.全国强场激光物理”研讨会

作者： LIU Shibing institute of Laser Engineering, Beijing University of Technology, Beijing 10002. ZHU Shaoping institute of {2. Physics and Computational mathematics, Beijing 100088

＜正＞Based on the interaction of laser-solid-target, a analytical theory on stimulatedγphoton emission from a hot electron firing the target-nucleus is developed by a relativistic full quantum method. The emitting power or probability of γphoton in arbitrary space direction can be calculated for laser irradiating solid-target normally. It is valid only if the scatter-centre is immovable or its motion can be neglected compared with that of the scattered electrons.

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