Enhancement of backtracking search algorithm for identifying soil parameters

In this paper, an enhanced backtracking search algorithm (so-called MBSA-LS) for parameter identification is proposed with two modifications: (a) modifying the mutation of original backtracking search algorithm (BSA) considering the contribution of current best individual for accelerating convergence speed and (b) novelly incorporating an efficient differential evolution (DE) as local search for improving the quality of population. The proposed MBSA-LS is first validated with better performance than the original BSA and some other typical state-of-the-art optimization algorithms on a benchmark of soil parameter identification in terms of effectiveness, efficiency, and robustness. Then, the efficiency of the MBSA-LS is further illustrated by two representative cases: identifying soil parameters from both laboratory tests and field measurements. All comparisons demonstrate that the proposed MBSA-LS algorithm can give accurate results in a short time. Finally, to conveniently solve the problems of parameter identification, a practical tool ErosOpt for parameter identification is developed by integrating the proposed MBSA-LS and some other efficient algorithms for readers to conduct the parameter identification using optimisation algorithms.     

城市点云的区域生长三角网构建方法

成熟的倾斜摄影测量及密集匹配技术可获取密集的城市点云,对点云进行三角网构建是真三维建模的关键技术之一。提出了基于区域生长的三角网构建方法,使用双约束条件提高点云的搜索效率,基于点边表数据结构进行网格生长,利用夹角约束和三角形孔洞修补优化网格。实验证明,该方法获取的三角网能够准确地表达楼体、桥状建筑等在内的城市实体,网格优化后的孔洞比例约为1‰并且该方法具有一定的抗噪能力。     

浙江省青田县石平川钼矿床新发现及找矿前景

长期以来,石平川钼矿床一直被认为是典型的石英脉型矿床,矿体分布于石平川岩体内外接触带上下100m以内。经过近年的地质工作发现,距石平川岩体外接触带400m~500m的侏罗系西山头组第二岩性段地层中存在细脉型辉钼矿体,从而形成下部大脉型石英辉钼矿体、上部细脉型辉钼矿体的二元结构。这一发现为开展深部及外围找矿,扩大资源储量规模提供了新的前景。     

改进的距离约束最小二乘模糊度搜索算法

针对短基线最小二乘模糊度搜索算法搜索效率低的缺点,该文提出了一种改善模糊度搜索空间以提高模糊度搜索效率的方法。最小二乘搜索算法通过基线长度范围确定模糊度搜索空间,完成模糊度的搜索和确认。距离约束的短基线模糊度搜索空间是一个空心椭球,各模糊度之间具有相关性,影响模糊度搜索效率。该文通过最小二乘去相关调整方法降低模糊度之间的相关性,减少搜索次数。实验证明,该算法的搜索效率提高了25%以上,且随着基线长度的增加,搜索效率有更多的提升。     

Estimating spatial efficiency using cyber search,GIS, and spatial optimization: a case study of fire service deployment in Los Angeles County

ABSTRACT

The efficiency of public investments and services has been of interest to geographic researchers for several decades. While in the private sector inefficiency often leads to higher prices, loss of competitiveness, and loss of business, in the public sector inefficiency in service provision does not necessarily lead to immediate changes. In many cases, it is not an entirely easy task to analyze a particular service as appropriate data may be difficult to obtain and hidden in detailed budgets. In this paper, we develop an integrative approach that uses cyber search, Geographic Information System (GIS), and spatial optimization to estimate the spatial efficiency of fire protection services in Los Angeles (LA) County. We develop a cyber-search process to identify current deployment patterns of fire stations across the major urban region of LA County. We compare the results of our search to existing databases. Using spatial optimization, we estimate the level of deployment that is needed to meet desired coverage levels based upon the location of an ideal fire station pattern, and then compare this ideal level of deployment to the existing system as a means of estimating spatial efficiency. GIS is adopted throughout the paper to simulate the demand locations, to conduct location-based spatial analysis, to visualize fire station data, and to map model simulation results. Finally, we show that the existing system in LA County has considerable room for improvement. The methodology presented in this paper is both novel and groundbreaking, and the automated assessments are readily transferable to other counties and jurisdictions.     

基于GIS的宁波市海洋专题保障预报综合信息服务平台开发与应用

利用GIS地理信息系统、网络数据库等技术,设计开发一个集港口码头潮汐潮流精细化预报、海上搜救辅助决策、海上溢油及化学品漂移扩散辅助决策、海洋环境预警预报等功能于一体的宁波市海洋专题保障预报综合信息服务平台,为宁波涉海涉渔部门提供精准直观、灵活多样的各项专题海洋预报产品,更好地服务宁波市海洋经济的发展,提升地方政府海上突发事件应急能力。     

一种顾及道路影响的点要素注记配置遗传禁忌搜索算法

为使地图上点要素注记配置更美观易读,利用遗传算法的全局寻优能力和禁忌搜索算法的"爬山能力",在考虑传统点要素注记配置约束条件的同时,考虑点要素与道路间的关系,提出了一种顾及道路要素影响的遗传禁忌搜索算法,并从解算精度、运行效率及稳健性3个方面对该算法进行评价。本文以福建省泉州市惠安县1：20万比例尺的乡村点状地形图数据进行试验,试验结果表明,与遗传算法、禁忌搜索算法和ArcGIS软件相比,该算法的算法精度和稳健性均有所提高,但是计算效率略低于禁忌算法,且点要素注记与点要素、道路要素的压盖量最少,与点要素、道路要素注记的交叉量最少。     

GISVlog模型的设计与实现

本文以地理信息系统(GIS为基础,分析了地理信息系统沃客(GISVlog,)形成的两个背景——网络新技术提高GIS生命力和沃客(Vlog,Vedio log的缩写)为网络增值;分别论述了GISVlog形成对GIS发展和Vlog发展的意义;在普通GIS的系统功能结构和Vlog的系统功能结构的基础上构建GISVlog的框架结构并加以实现;论文最后展望了GISVlog的发展前景,提出GISVlog是网络搜索技术新的研究方向。     

一种获取Klobuchar电离层改正模型的新方法

介绍了利用松弛搜索法对Klobuchar模型的参数进行拟合,并利用IGS提供的IONEX格式对全球电离层数据进行试验分析,获得了可靠的结果。     

Similarity of electrophoretic dissolved protein spectra from coastal to pelagic seawaters

Dissolved proteins in seawater samples collected from a coastal area of Tokyo Bay, Sagami Bay and a location off the Kuroshio Current were investigated by one-dimensional sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and high resolution two-dimensional electrophoresis (2-DE). Four to nine protein bands were detected in SDS-PAGE in the apparent molecular weight (MW) range from 12 kilo Dalton (kDa) to 49 kDa. The 2-DE technique distinguished 10 to 46 protein spots exhibiting isoelectric point (pI)/MW ranging 4.3–9.2/12–63 kDa. The elecrophoretic patterns were similar between the coastal and pelagic samples, as well as previously reported patterns from various pelagic areas. The close similarity of electrophoretic mobility on both SDS-PAGE and 2-DE gels indicates the compositional homogeneity of dissolved proteins in seawater throughout a broad range of marine environments. Proteinaceous dissolved organic matter (DOM) that was unresolved and smeared staining characteristics on both SDS-PAGE and 2-DE gels was first observed in Tokyo Bay waters in the present study and its possible sources are discussed. Although the two protein species, 48 kDa and 39 kDa proteins, have been identified as homologues of Porin P and low molecular weight-alkaline phosphatase of Pseudomonas aeruginosa PAO1, respectively, four strains of P. aeruginosa and two species of Pseudomonas spp. have been newly identified as the source organisms of these proteins using the N-terminal amino acid sequence data determined in previous studies.