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地震活动性正常与异常的群体概率特征及其在地震预测中的应用——以汶川地震为例 被引量:2
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作者 罗灼礼 王伟君 《地震》 CSCD 北大核心 2012年第3期1-14,共14页
地震事件一般具有离散性,即它们的发生和转移具有一定的时间和空间间隔。当孕震系统处于平衡(或正常)状态时,系统状态变量X(这里以地震活动性为例)的时间序列概率分布表现为单峰型(如泊松分布);其时间间隔(或等候时间)Δt分布可用负指... 地震事件一般具有离散性,即它们的发生和转移具有一定的时间和空间间隔。当孕震系统处于平衡(或正常)状态时,系统状态变量X(这里以地震活动性为例)的时间序列概率分布表现为单峰型(如泊松分布);其时间间隔(或等候时间)Δt分布可用负指数分布来描述。当系统处于非平衡(或异常)状态时,X的概率分布表现为双峰型或多峰型,其时间间隔Δt(或空间间隔ΔS)可采用幂函数关系来描述。可以计算X的1~4阶矩统计参数识别X的概率分布性质,进一步判断系统所处的状态。根据这个思路,本文尝试针对地震活动性的群体概率特征,探索研究地震活动系统时间和空间结构的演变以及正常和异常状态的辨别,并将这些方法应用于2008年汶川8.0级地震及其余震趋势和强余震预测实践。 展开更多
关键词 地震活动状态 群体概率特征 地震预测 汶川地震
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Effect of Cavity Decay on Entanglement of Ladder-Type Three-Level Atoms and a Two-Mode Cavity Field
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作者 GAO Cheng-Yuan LIU Jin-Ming MA Lei 《Communications in Theoretical Physics》 SCIE CAS CSCD 2008年第8期349-354,共6页
Considering the adiabatical approximation and the large detuning condition, we give the effective Hamiltonian of a ladder-type three levels atom interacting with a bimodal cavity field. If two identical three-level at... Considering the adiabatical approximation and the large detuning condition, we give the effective Hamiltonian of a ladder-type three levels atom interacting with a bimodal cavity field. If two identical three-level atoms are sent through the cavity one by one, a two-atom entangled state can be generated. With the choice of the appropriate interaction time, a maximally entangled state of two atoms can be obtained if decoherence effect is ignored. Moreover, we discuss the effect of cavity decay on four physical quantities including atomic population probability, residual entanglement of the first atom and the cavity field, concurrence between the two atoms, and fidelity for generating atomic EPR state, all of which decrease with the increase of cavity decay when the other parameters are fixed. 展开更多
关键词 cavity decay population probability entangled state CONCURRENCE
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Alternative Distributions to Estimate Usual Intake of Nutrients for Groups
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作者 Jose Eduardo Corrente Juliana M. Morimoto +1 位作者 Dirce Maria Lobo Marchioni Regina Mara Fisberg 《Journal of Life Sciences》 2011年第7期569-574,共6页
When assessing food intake patterns in groups of individuals, a major problem is finding usual intake distribution. This study aimed at searching for a probability distribution to estimate the usual intake of nutrient... When assessing food intake patterns in groups of individuals, a major problem is finding usual intake distribution. This study aimed at searching for a probability distribution to estimate the usual intake of nutrients using data from a cross-sectional investigation on nutrition students from a public university in Sao Paulo state, Brazil. Data on 119 women aged 19 to 30 years old were used. All women answered a questionnaire about their lifestyle, diet and demographics. Food intake was evaluated from a non-consecutive three-day 24-hour food record. Different probability distributions were tested for vitamins C and E, panthotenic acid, folate, zinc, copper and calcium where data normalization was not possible. Empirical comparisons were performed, and inadequacy prevalence was calculated by comparing with the NRC method. It was concluded that if a more realistic distribution for usual intake is found, results can be more accurate as compared to those achieved by other methods. 展开更多
关键词 DIET NUTRIENTS adequate intake measurement error models usual intake distribution.
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An immune-swarm intelligence based algorithm for deterministic coverage problems of wireless sensor networks 被引量:1
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作者 刘继忠 王保磊 +1 位作者 敖俊宇 Q.M.Jonathan WU 《Journal of Central South University》 SCIE EI CAS 2012年第11期3154-3161,共8页
A novel immune-swarm intelligence (ISI) based algorithm for solving the deterministic coverage problems of wireless sensor networks was presented.It makes full use of information sharing and retains diversity from the... A novel immune-swarm intelligence (ISI) based algorithm for solving the deterministic coverage problems of wireless sensor networks was presented.It makes full use of information sharing and retains diversity from the principle of particle swarm optimization (PSO) and artificial immune system (AIS).The algorithm was analyzed in detail and proper swarm size,evolving generations,gene-exchange individual order,and gene-exchange proportion in molecule were obtained for better algorithm performances.According to the test results,the appropriate parameters are about 50 swarm individuals,over 3 000 evolving generations,20%-25% gene-exchange proportion in molecule with gene-exchange taking place between better fitness affinity individuals.The algorithm is practical and effective in maximizing the coverage probability with given number of sensors and minimizing sensor numbers with required coverage probability in sensor placement.It can reach a better result quickly,especially with the proper calculation parameters. 展开更多
关键词 wireless sensor network deterministic area coverage immune-swarm algorithm particle swarm optimization artificialimmune system
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