3D GIS支持下盐腔围岩三维计算模型的生成

目前盐腔围岩蠕变模拟中计算网格生成多是理想化的,并没有充分利用真实探测数据。针对这些问题,提出了一种新的三维计算模型生成方法。借助HalfEdge数据结构,基于研究区域边界、DEM（digital element model,数字高程模型）和钻井数据,构建了研究区域地层三维模型;基于声纳测腔数据构建了盐腔三维模型,并对其进行了拓扑检查与修正;将地层三维模型与盐腔三维模型进行三维空间布尔运算,获取盐腔围岩三维模型;通过对该模型进行三维空间网格离散,得到盐腔围岩四面体网格单元,即数值模拟计算模型。通过该方法构建的三维计算模型,可以为后期盐腔围岩蠕变数值模拟过程提供有效的计算网格,进而可以为盐腔的建造,尤其是安全合理地利用盐腔提供科学依据和技术支持。     

基于集群的影像并行OPTA算法研究

并行计算是提高海量遥感影像细化处理速度的有效途径.基于对OPTA细化算法的分析,深入研究OPTA细化并行算法中数据划分和数据通信优化等关键问题,提出一种适合集群并行处理的通信优化并行算法,实验证明该算法具有良好的加速比,适合集群计算环境下海量遥感影像的细化处理.     

利用流水线技术的遥感影像并行处理

针对现有的OpenMP和直接的线程并行法难以对遥感影像处理链进行加速的问题,引入流水线概念对复杂的功能链进行并行加速,提出了基于流水线技术的遥感影像并行处理方法。影像处理实验验证了流水线在遥感影像多级连续处理方面的优势。     

Anticipating ubiquitous computing: Logics to forecast technological futures

Visions of the future predict spaces apparently teaming with ever more novel and pervasive technologies. Significant amongst such forecasts is the notion of ‘ubiquitous computing’ (ubicomp), understood as an affordance or capacity tied (in)to people, places and things. This article stages an encounter between the futurity of ubicomp and recent debates in geography around anticipation. So, first, the future orientation in ubicomp research and development (R&D) is investigated as a mode of anticipation. ‘Knowledges’, and ‘logics’ of anticipation are subsequently, and second, discussed as the conceptual apparatus that constructs and perpetuates the ‘proximate future’ of ubicomp. This analysis connects recent discussion about ‘anticipation’ in social sciences research with the methods of ubicomp research, which fits with an emergent agenda around futurity in human geography. Third, the conceptual articulation of ‘anticipatory logic’ is applied to the analysis of empirical investigations of ubicomp R&D to identify the specific logics of anticipation at play. This article accordingly examines the logics of anticipation that both support and destabilise the certainty with which the future is imagined within ubicomp. In conclusion, the multiple ways of anticipating a future world and the ways in which they discipline understandings of futurity are framed as a politics of anticipation.     

Model tree approach for prediction of pile groups scour due to waves

Scour around piles could endanger the stability of the structures placed on them. Hence, an accurate estimation of the scour depth around piles is very important in coastal and marine engineering. Due to the complex interaction between the wave, seabed and pile group; prediction of the scour depth is not an easy task and the available empirical formulas have limited accuracy. Recently, soft computing methods such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) have been used for the prediction of the scour depth. However, these methods do not give enough insight about the process and are not as easy to use as the empirical equations. In this study, new formulas are given that are easy to use, accurate and physically sound. Available empirical equations for estimating the pile group scour depth such as those of Sumer et al. (1992) and Bayram and Larson (2000), are less accurate compared to the given equations. These equations are as accurate as other soft computing methods such as ANN and SVM. Moreover, in this study, safety factors are given for different levels of acceptable risks, which can be so useful for engineers.     

基于云计算技术的常用坐标转换实现

云计算技术可以使计算能力在Internet范围内无限扩展,使通过多点提供无限多的服务成为可能.通过PHP、JavaScript、AJAX 三种技术的结合,可以实现云计算.常用坐标转换是指测量中经常用到的几种坐标转换方法.常用坐标转换方法通过云计算技术实现,可以在Internet范围内提供坐标转换服务,这种应用带来的效率...     

从云计算到雾计算的范式转变

虽然云计算的应用越来越广泛,但也具有不能支持高移动性、不支持地理位置信息及高时延等亟待解决的问题.为此,雾计算已经出现,并将云计算扩展到网络的边缘,以减少延迟和网络拥塞.首先介绍了雾计算的概念、特点和结构,然后讨论了具有代表性的应用场景以及雾计算的安全问题.另外,还对雾计算相似的原位计算和连续计算进行了介绍.最后,给出了云计算与雾计算的区别与联系,并分析了雾计算未来的发展方向.雾计算扩大了以云计算为特征的网络计算范式,将网络计算从网络的中心扩展到网络的边缘,从而可以更加广泛地运用于更多的应用形态和服务类型.     

Digital Analysis of the Water Layout Ecological Wisdom in Traditional Chinese Rural Settlements: A Case Study of Liukeng Village in Jiangxi Province

During the long-term construction and development process of eliminating water disasters and promoting water conservancy in traditional settlements, a set of mature strategies that have simple ecological wisdom in water layout have been formed by adapting to the natural water environment and utilizing the regional water system. This study conducted a qualitative and quantitative analysis of the water layout strategies and their effects on Liukeng Village from three aspects: deciphering the water systematic pattern, calculating the spatial characteristics and quantifying the water environment, to explore the technical assistance and potential of water layout research in traditional rural settlements. The results indicated that Liukeng has an unambiguously systematic water layout pattern of source diversion, middle drainage and end purification of the water. Through 3D point cloud computing, it was shown that the site selection made accurate use of micro-topography and adopted the strategy of a multi-source water management. It formed an organic water system pattern, which provided sufficient water sources for all kinds of needs of Liukeng Village.The Dragon Lake in Liukeng held 83.0% of the precipitation, and the vegetation area accounted for 34.7% of the total area of Liukeng, which had high surface permeability and good middle drainage effects. Water detection showed that the Dragon Lake provided good water quality and purification. The purposes of this study are to fill the gap in previous non-quantitative research on water layout in traditional rural settlements, excavate the hidden information and value of settlements, and deepen our understanding of the ecological wisdom of the overall planning, layout and construction of water conservancy in traditional rural settlements. This knowledge can assist the win-win situation of water conservancy cultural heritage protection and modern utilization. It also provides useful inspiration and reference for properly dealing with the problems of rain and flooding, realizing the sustainability of water resources, and protecting the ecological environment in the process of the development and construction of village settlements in China.     

基于社交媒体数据挖掘的旅游者情绪感知

随着智能移动终端和社交媒体的普及,带有地理标签的社交媒体数据大量涌现,其“文本—位置—时间”的多维特征使得精细时空尺度上的旅游者情绪感知成为可能。该文基于2017-2019年旅游者发布的新浪微博数据,采用BERT模型对微博数据进行文本分析,探讨旅游者情绪的时空分布规律及不同主题下旅游者的情绪特征,并分析导致旅游者产生负面情绪的相关因素。研究发现,微博中旅游者情绪呈现昼夜、周和季节性节律变化,不同性别旅游者在情绪反应强度及情绪节律上存在差异,对“天气”和“餐饮”主题易产生强烈情绪。该文提出的旅游者情绪挖掘方法可从多维度、多层次挖掘旅游者情绪特征,为旅游目的地舆情监测和预警系统提供借鉴。     

A parallel evolutionary strategy based simulation–optimization approach for solving groundwater source identification problems

Groundwater characterization involves the resolution of unknown system characteristics from observation data, and is often classified as an inverse problem. Inverse problems are difficult to solve due to natural ill-posedness and computational intractability. Here we adopt the use of a simulation–optimization approach that couples a numerical pollutant-transport simulation model with evolutionary search algorithms for solution of the inverse problem. In this approach, the numerical transport model is solved iteratively during the evolutionary search. This process can be computationally intensive since several hundreds to thousands of forward model evaluations are typically required for solution. Given the potential computational intractability of such a simulation–optimization approach, parallel computation is employed to ease and enable the solution of such problems. In this paper, several variations of a groundwater source identification problem is examined in terms of solution quality and computational performance. The computational experiments were performed on the TeraGrid cluster available at the National Center for Supercomputing Applications. The results demonstrate the performance of the parallel simulation–optimization approach in terms of solution quality and computational performance.