高校图书馆自动化的可行途径——兼论公用系统支持的图书馆自动化

提出由公用计算机系统支撑的大学图书馆自动化系统模型。以一个假想系统LASO(青岛海洋大学未来的图书馆自动化系统 为例。阐述该模型的可行性。     

人工神经网络方法反演东中国海悬移质浓度

海中悬移质是决定海洋光学性质、海洋水质,河口海岸带演变动力过程的重要环境参数。本文利用模拟遥感反射比数据集建立人工神经网络反演悬移质浓度,并利用东中国海现场同步数据对该算法进行验证。     

A brief catalogue of failures: Framing evaluation and learning in fisheries resource management

We propose a framework for enabling a systematic evaluation of a fisheries resource management system, which we define as a feed-back mechanism coupled to a fishery. The resource management system includes four basic functions: diagnostics, intervention, goal setting, and decision making. This model allows for the development of an evaluation framework for fisheries resource management by facilitating a typology of failures. We suggest that the potential for systemic and interdisciplinary learning will be significantly enhanced through the process of developing such a framework.     

Food Preferences of Dominant Salt Marsh Herbivores and Detritivores

Abstract. Food preferences of six dominant salt marsh invertebrates were studied to identify detritivores and to assess differences in their diets. Animals fed on agar suspensions of dead and live foods in petri dishes with four compartments. Only two foods were included in each dish. Relative palatability was assessed by measuring the amount of suspension removed or by counting the number of feeding marks left on the surface of the suspensions.
Feeding marks reflected differences in mouth parts and feeding mechanisms of the six invertebrates. Melampus bidentatus, Orchestia grillus , and Philoscia vittata preferred dead litter over live tissues of marsh graminoids, blue-green algae, and sulfur bacteria. No preference for detritus from different graminoids was shown by M. bidentatus. Orchestia grillus fed preferentially on Spartina patens detritus. Philoscia vittata preferred detritus from S. alterniflora and S. patens. Blue-green algae and sulfur bacteria were preferred over detritus by Littorina saxatalis , but detritus was preferred over live graminoids. Littorina saxatalis fed preferentially on Juncus gerardi detritus. Blue-green algae, sulfur bacteria, and live graminoids were preferred over detritus by L. littorea. Talorchestia longicornis also preferred blue-green algae.
On the basis of their food preferences, Littorina saxatalis, Melampus bidentatus, Orchestia grillus , and Philoscia vittata were classified as detritivores. Feeding on detritus from different plant species could result in a partitioning of this food resource in the detritus-based food chains of the salt marsh ecosystem.     

基于BP人工神经网络的水体遥感测深方法研究

利用Landsat7ETM＋遥感图像反射率和实测水深值之间的相关性,建立了动量BP人工神经网络水深反演模型,并对长江口南港河段水深进行了反演.结果表明：具有较强非线性映射能力的动量BP神经网络模型能较好地反演出长江口南港河段的水深分布情况;由于受长江口水体高含沙量的影响,模型对小于5 m的水深值反演精度较高,而对大于10 m的水深值反演精度较低.     

一种基于拍卖理论的移动Agent资源分配模型

描述了 1种以区间值为价格的移动 Agent资源底价密封拍卖模型 ,并赋予资源所有者参与价格制定的权利     

煤矿区地质环境与地质灾害遥感集成监测系统的关键技术

面向“数字矿山”应用系统的需要,在分析煤矿区地质环境和地质灾害特点及其在遥感监测理论依据的基础上,提出了煤矿区地质环境与地质灾害遥感集成监测系统的技术思路和体系结构,强调各种监测技术手段、不同时空尺度、不同数据源和不同主题信息的集成,并针对这一集成系统实现与应用中的多目标遥感信息处理、环境传感器网络应用、遥感监测数据与专题分析模型的集成、数据质量控制等关键问题进行了探讨。     

基于GIS的城市交通网络要素可视化表达方法研究

城市交通网络要素的可视化表达是GIS—T研究和应用领域中的一个难题,本文在对目前流行的交通网络数据模型进行系统研究的基础上,选择了动态分段技术下的结点-弧段模型,对交通网络复杂要素进行可视化表达,并对城市交通网络要素的可视化表达方法和形式进行了分析,最后结合交通网络复杂要素的可视化表达,设计和创建了具体的数据结构表和数据结构图。     

基于BP神经网络的地图数字化误差纠正

由于在数字化采集过程中不可避免地会引入系统误差和异常误差,因此消除和削弱这些误差的影响是提高空间数据质量的关键。然而由于图纸变形不均匀,扫描误差又极其复杂,用常规的多项式拟合技术只能消除部分有规律的系统误差,很难完全消除它们对地图数字化坐标的影响。BP神经网络是一个高度非线性映射系统,能以任意精度逼近。结合地图数字化坐标改正的特点,本文给出了基于BP神经网络地图数字化坐标误差纠正的方法,并通过实例验证了该方法的有效性。