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131.
Unicorn系统中简编记录升级为详编记录的新方法研究 总被引:1,自引:0,他引:1
概括介绍了在Unicorn 系统中如何使详编记录在装载时成批替换数据库中的简编记录, 以及这种方法的可行性、应用情况和提高替换率的方法。 相似文献
132.
John C. Wagaman 《Teaching Statistics》2017,39(2):52-56
This article describes four semesters of introductory statistics courses that incorporate service learning and gardening into the curriculum with applications of the binomial distribution, least squares regression and hypothesis testing. The activities span multiple semesters and are iterative in nature. 相似文献
133.
Rebecca Smith 《Discourse: Studies in the Cultural Politics of Education》2017,38(5):701-712
Using document analysis, this paper examines the historical emergence of the quantified child, revealing how the collection and use of data has become normalized through legitimizing discourses. First, following in the traditions of Foucault's genealogy and studies examining the sociology of numbers, this paper traces the evolution of data collection in a range of significant education policy documents. Second, a word count analysis was used to further substantiate the claim that data collection and use has been increasingly normalized through legitimizing discourses and routine actions in educational settings. These analyses provide evidence that the need to quantify educational practices has been justified over long periods of time through a variety of documents and that the extent to which data governs educators’ thoughts, discourses, and actions has dramatically increased during the past century. 相似文献
134.
由于城乡土地建设的发展需要,建立一个能够统一分类、统一调查、统一统计的城乡一体化信息系统便成为了当务之急。本文从建立城乡一体化地籍空间数据库的几个关键问题展开论述,分析了城乡一体化地籍的管理模式,提出了采用SDE来实现空间信息和非空间信息的统一管理,研究了新旧地类的转换和转换方法。 相似文献
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138.
Jeffrey K. Uhlmann 《Journal of The Franklin Institute》2004,341(7):569-593
This paper examines some of the combinatorial issues associated with the batch data association problem arising in tracking and correlation applications. A procedure is developed that addresses a large class of data association problems involving the calculation of permanents of submatrices of the original association matrix. This procedure yields what is termed the Joint Assignment Matrix (JAM), which can be used to optimally rank associations for hypothesis selection. Because the computational cost of the permanent scales exponentially with the size of the matrix, improved algorithms are developed both for calculating the exact JAM and for generating approximations to it. Empirical results suggest that at least one of the approximations is suitable for real-time hypothesis generation in large scale tracking and correlation applications. Novel theoretical results include an improved upper bound on the calculation of the JAM and new upper bound inequalities for the permanent of general nonnegative matrices. One of these inequalities is an improvement over the best previously known inequality. 相似文献
139.
Hong-Guang Ma Xiao-Fei Zhu Ming-Shun Ai Ji-Dong Wang 《Journal of The Franklin Institute》2007,344(8):1102-1112
A fault diagnosis method for analog circuit is proposed in this paper. An all-purpose amplifier is taken as the typical circuit under test (CUT). The chaotic signal, which is generated by an improved Chua's circuit, is employed as the excitation signal of CUT. The algorithm for phase-space reconstruction of chaotic time series is a combination algorithm of multiple autocorrelation and Γ-test. The circuit state is estimated based on detecting the geometric change of Chua's attractor with a data-mining approach. For the purpose of information fusion, another eight features are extracted from the testing data to comprehensively determine the CUT states. A discussion is made for comparing the effectiveness of each feature according to the testing results. 相似文献
140.
Current citation-based document retrieval systems generally offer only limited search facilities, such as author search. In order to facilitate more advanced search functions, we have developed a significantly improved system that employs two novel techniques: Context-based Cluster Analysis (CCA) and Context-based Ontology Generation frAmework (COGA). CCA aims to extract relevant information from clusters originally obtained from disparate clustering methods by building relationships between them. The built relationships are then represented as formal context using the Formal Concept Analysis (FCA) technique. COGA aims to generate ontology from clusters relationship built by CCA. By combining these two techniques, we are able to perform ontology learning from a citation database using clustering results. We have implemented the improved system and have demonstrated its use for finding research domain expertise. We have also conducted performance evaluation on the system and the results are encouraging. 相似文献