同步N-策略多重休假的M/M/C/WV排队

考虑同步N-策略多重休假和工作休假M/M/c排队,简记为M/M/c（N-WV）。在休假期间,服务员并未完全停止工作而是以较低的速率为顾客服务。用拟生灭过程与矩阵几何解方法,给出了系统稳态队长和稳态条件等待时间的分布。此外,也得到了队长和等待时间的条件随机分解结构及附加队长和附加延迟的分布。     

Mapping the farming-pastoral ecotones in China

Conventional farming-pastoral ecotones methods of delineating were not quantitative and could not fully show their spatial distribution. The present paper attempts to develop quantitative methods for mapping farming-pastoral ecotones in China. Nine indicators, related to temperature, precipitation and altitude aspects, were selected to quantify ecological susceptibility of vegetation （crops and forage）. Methods of analytic hierarchy process （AHP） and expert score ranking combined with fuzzy set theory were applied to assign the weight for each indicator and to define the membership functions. The geographic information system （GIS） was used to manage the spatial database and conduct the spatial analysis. According to the spatial calculation of evaluation model integrated with GIS, the ecological susceptibility of vegetation （crops and forage） was mapped. Three different zones, pastoral area, farming-pastoral ecotones and farming area, were classified by spatial cluster analysis and the maximum likelihood classification for the numeric map of vegetation ecological susceptibility by GIS. This map was validated by the economic statistical result based on the ratio of the output value from animal husbandry in total output value of agriculture by the National Bureau of Statistics in China, indicating that the mapping of the farming-pastoral ecotones may be accepted.     

交通大数据在人文与经济地理学的应用及学科影响

交通大数据能够反映人类社会经济活动产生的位移与时空轨迹,不仅能够满足学者们在微观尺度更深入、更精细的研究粒度要求,而且能够为宏观尺度的研究提供广范围、多视角的连续性观测,其研究与发展为人文与经济地理学带来了新思路和新技术。本文以交通大数据的研究前沿为基础,梳理了区位论、时空行为、复杂网络、流空间等理论研究的发展方向,勾勒了“大数据时代”背景下人文与经济地理学的研究框架体系,探讨了新旧技术方法融合的可能性,并讨论了对各个分支学科相关研究的影响。接着,本文总结了交通大数据在人文与经济地理学的主要应用方向与趋势,主要包括出行即服务的交通规划理论与方法,“人工智能+大数据”的城市管理科学,大尺度交通流迁移的模拟,以及“流空间”与“场所空间”的多维度研究等。最后,本文指出了交通大数据应用在获取难度和数据有偏性等方面值得注意的问题并进行了展望。     

基于LANDSAT 8卫星热红外影像反演珠江口海表温度

海水表面温度是研究气候变化的重要参数,具有巨大的研究意义.在近海海域进行研究时对分辨率具有较高的要求.在珠江口区域,利用LANDSAT 8影像热红外波段,结合美国中等分辨率成像光谱仪(MODIS)的近红外水汽二级产品MOD05,运用Jiménez-Mu1oz提出的单通道法,优化了部分参数,建立海表温度的反演流程.为了确定可行性,将与LANDSAT 8影像同一日期的MODIS海表温度产品MOD28作为实验的对照组,利用实测数据对比验证2组数据的质量.结果表明,反演结果时空分布规律与MOD28趋近一致,均呈现为夏季西高东低而冬季西低东高,全年温度变化接近准正弦曲线,并且反演结果精度更优,具有良好的应用前景.     

2006年4月17日北京特大降尘的地球化学特征

2006年4月17日北京遭遇了近年来最为严重的一次降尘天气。分析了降尘的主量、微量和稀土元素地球化学特征,并与洛川马兰黄土和几次北京降尘进行对比,结果显示本次北京降尘与洛川马兰黄土具有相似的元素分布模式,表明与黄土具有相似的物质组成,并在搬运过程中经历了充分的混合,同时,北京降尘与黄土相比具有一定程度的差异性,表现为北京降尘中Mg、Na相时富集,Ca明显亏损并含有较高的烧失量,降尘CIA值较低,表明降尘源区化学风化程度较弱,处于化学风化的初始阶段,降尘∑REE显著高于黄土,同时轻、重稀土分馏程度也较黄土高,4次北京降尘间稀土元素分布模式对比表明,粒度是影响重稀土元素间分馏程度不同的主要因素。     

一种新型数字水准仪室内检定装置

数字化精密水准测量仪器在水准及形变测量领域中起着极其重要的作用,而对数字水准仪的计量检定工作是使其正常运行的前提,针对其检定项目室内化的难题,介绍了一种国产新型数字水准仪的室内检定装置.     

山东地壳运动GPS观测网的建设与初步结果分析

简述山东地壳运动GPS观测网的建设和数据处理的基本方法，并对系统所得的初步结果进行分析，分析表明，该系统可产出连续、高精度的GPS基准站三维坐标及基线数据，可为地震监测和地壳运动的科学研究提供良好的GPS数据素材。     

论船舶物权变动登记之公信力

船舶物权变动采用登记公示方式,登记应当具有公信力,登记公信力制度的确立旨在保护第三人之利益。登记是制度创设,应该承认船舶登记的公信力以满足该制度之宗旨。船舶登记的对抗效力不影响登记公信力的存在,但该登记的公信力受到限制。     

基于网络的入侵检测系统分析与设计

分析了入侵检测系统及NIDS的基本原理.利用WinPcap驱动和Libnids技术在Windows环境下对网卡进行编程,从网络数据包的捕获和分析着手,设计并实现了一个网络入侵检测系统.     

Mapping of Regional Soil Salinities in Xinjiang and Strategies for Amelioration and Management

Information on the spatial distribution of soil salinity can be used as guidance in avoiding the continued degradation of land and water resources by better informing policy makers. However, most regional soil-salinity maps are produced through a conventional direct-linking method derived from historic observations. Such maps lack spatial details and are limited in describing the evolution of soil salinization in particular instances. To overcome these limitations, we employed a method that included an integrative hierarchical-sampling strategy(IHSS) and the Soil Land Inference Model(So LIM) to map soil salinity over a regional area. A fuzzy c-means(FCM) classifier is performed to generate three measures, comprising representative grade, representative area, and representative level(membership). IHSS employs these three measures to ascertain how many representative samples are appropriate. Through this synergetic assessment, representative samples are obtained and their soil-salinity values are measured. These samples are input to So LIM, which is constructed based on fuzzy logic, to calculate the soil-forming environmental similarities between representative samples and other locations. Finally, a detailed soil-salinity map is produced through an averaging function that is linearly weighted, which is used to integrate the soil salinity value and soil similarity. This case study, in the Uyghur Autonomous Region of Xinjiang of China, demonstrates that the employed method can produce soil salinity map at a higher level of spatial detail and accuracy. Twenty-three representative points are determined. The results show that 1) the prediction is appropriate in Kuqa Oasis(R2 = 0.70, RPD = 1.55, RMSE = 12.86) and Keriya Oasis(R2 = 0.75, RPD = 1.66, RMSE = 10.92), that in Fubei Oasis(R2 = 0.77, RPD = 2.01, RMSE = 6.32) perform little better than in those two oases, according to the evaluation criterion. 2) Based on all validation samples from three oases, accuracy estimation show the employed method(R2 = 0.74, RPD = 1.67, RMSE = 11.18) performed better than the multiple linear regression model(R2 = 0.60, RPD = 1.47, RMSE = 14.45). 3) The statistical result show that approximately half(48.07%) of the study area has changed to salt-affected soil, mainly distributed in downstream of oases, around lakes, on both sides of rivers and more serious in the southern than the northern Xinjiang. To deal with this issue, a couple of strategies involving soil-salinity monitoring, water management, and plant diversification are proposed, to reduce soil salinization. Finally, this study concludes that the employed method can serve as an alternative model for soil-salinity mapping on a large scale.