基于消息中间件技术的分布式气象数据同步系统设计和实现

本文针对新的资料传输流程建立后江苏省气象数据实时共享需求,基于消息中间件技术,设计并实现了一种省市气象数据同步系统。提出数据同步系统的总体架构和实现方案,基于业务需求设计了数据库表和消息模型,开发了数据同步状态信息查询Web页面。目前系统已在全省多个地市部署应用,为省市县3级气象业务提供稳定、及时有效的数据支撑,取得较好的应用效果。     

孤岛分布式能源系统的反步控制策略研究

针对含分布式能源（DER）的微电网在孤岛运行模式下自身调节能力有限的问题,基于反步控制方法设计了一种DER系统孤岛运行电压控制策略,解决了DER系统在孤岛运行模式下的电压控制问题.首先,给出了孤岛运行模式下DER系统模型及输出电压数学模型;其次,利用反步控制方法设计了控制器,同时利用李雅普诺夫稳定性理论进行了稳定性分析;最后,利用此控制器在平衡负载及不平衡负载的情况下对输出电压进行控制,并通过仿真验证了反步控制器的有效性.     

基于相对状态符号信息的分布式优化算法

针对网络化多智能体的分布式优化问题,本文讨论一种只利用邻居相对状态的符号信息的分布式算法.该算法不要求与图相关的权重矩阵是双随机矩阵.首先利用优化理论中的惩罚函数法解释该算法,然后分析算法在静态图上的收敛性以及收敛速度.与现有使用邻居相对状态的完整信息的分布式梯度下降算法相比,所提算法的收敛速度并没有本质上降低.另一方面,将所提算法扩展到确定性和随机性的时变图上,并给出相应的收敛性结论.最后,通过数值仿真实验验证算法的有效性.     

Multi-level temporal autoregressive modelling of daily activity satisfaction using GPS-integrated activity diary data

In this research, we match web-based activity diary data with daily mobility information recorded by GPS trackers for a sample of 709 residents in a 7-day survey in Beijing in 2012 to investigate activity satisfaction. Given the complications arising from the irregular time intervals of GPS-integrated diary data and the associated complex dependency structure, a direct application of standard (spatial) panel data econometric approaches is inappropriate. This study develops a multi-level temporal autoregressive modelling approach to analyse such data, which conceptualises time as continuous and examines sequential correlations via a time or space-time weights matrix. Moreover, we manage to simultaneously model individual heterogeneity through the inclusion of individual random effects, which can be treated flexibly either as independent or dependent. Bayesian Markov chain Monte Carlo (MCMC) algorithms are developed for model implementation. Positive sequential correlations and individual heterogeneity effects are both found to be statistically significant. Geographical contextual characteristics of sites where activities take place are significantly associated with daily activity satisfaction, controlling for a range of situational characteristics and individual socio-demographic attributes. Apart from the conceivable urban planning and development implications of our study, we demonstrate a novel statistical methodology for analysing semantic GPS trajectory data in general.     

A data model for moving regions of fixed shape in databases

Moving object databases are designed to store and process spatial and temporal object data. An especially useful moving object type is a moving region, which consists of one or more moving polygons suitable for modeling the spread of forest fires, the movement of clouds, spread of diseases and many other real-world phenomena. Previous implementations usually allow a changing shape of the region during the movement; however, the necessary restrictions on this model result in an inaccurate interpolation of rotating objects. In this paper, we present an alternative approach for moving and rotating regions of fixed shape, called Fixed Moving Regions, which provide a significantly better model for a wide range of applications like modeling the movement of oil tankers, icebergs and other rigid structures. Furthermore, we describe and implement several useful operations on this new object type to enable a database system to solve many real-world problems, as for example collision tests, projections and intersections, much more accurate than with other models. Based on this research, we also implemented a library for easy integration into moving objects database systems, as for example the DBMS Secondo (1) (2) developed at the FernUniversität in Hagen.     

The control of salt supply on entrainment of an anhydrite layer within a salt diapir

The influence of four parameters (sedimentation rate, viscosity of salt, stratigraphic location of the anhydrite layer within the salt layer, and the perturbation width) on salt supply to down-built diapirs and its entrainment capacity are studied systematically in numerical models. Model results show that these four parameters affect salt supply, and the evolution history of a salt diapir. As such, these parameters strongly influence the style and the amount of entrainment of dense inclusions into a diapir. In active diapirs (i.e. unburied diapirs), salt supply increases with increasing sedimentation rate whereas it decreases with an increase in salt viscosity. Diapirs initiating from wide perturbation provide more salt supply to feed the diapir. Presence and initial stratigraphic location of any denser layer (e.g. an anhydrite layer) within a salt layer also affects salt supply. When lateral forces are negligible, salt supply into a diapir depends on these four parameters, which directly control the entrainment of any embedded anhydrite layer into the diapir.     

North Indian Ocean warming and sea level rise in an OGCM

The variability in the long-term temperature and sea level over the north Indian Ocean during the period 1958–2000 has been investigated using an Ocean General Circulation Model, Modular Ocean Model version 4. The model simulated fields are compared with the sea level observations from tide-gauges, Topex/Poseidon (T/P) satellite, in situ temperature profile observations from WHOI moored buoy and sea surface temperature (SST) observations from DS1, DS3 and DS4 moored buoys. It is seen that the long (6–8 years) warming episodes in the SST over the north Indian Ocean are followed by short episodes (2–3 years) of cooling. The model temperature and sea level anomaly over the north Indian Ocean show an increasing trend in the study period. The model thermocline heat content per unit area shows a linear increasing trend (from 1958–2000) at the rate of 0.0018 × 10¹¹ J/m² per year for north Indian Ocean. North Indian Ocean sea level anomaly (thermosteric component) also shows a linear increasing trend of 0.31 mm/year during 1958–2000.