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We present a novel statistical analysis of legislative rhetoric in the US Senate that sheds a light on hidden patterns in the behaviour of Senators as a function of their time in office. Using natural language processing, we create a novel comprehensive data set based on the speeches of all Senators who served on the US Senate Committee on Energy and Natural Resources in 2001–2011. We develop a new...
Recent advances in airborne light detection and ranging (LiDAR) technology allow us to rapid measure the topographical information over large areas. LiDAR remote sensed data has been widely used in many applications, e.g. forest management, urban planning, disaster predictions, etc. However, extracting useful information from LiDAR data remains challenging, especially in the urban remote sensing,...
Context: The assessment of Threats to Validity (TTVs) is critical to secure the quality of empirical studies in Software Engineering (SE). In the recent decade, Systematic Literature Review (SLR) was becoming an increasingly important empirical research method in SE. One of the mechanisms of insuring the level of scientific value in the findings of an SLR is to rigorously assess its validity. Hence,...
This paper uses fuzzy clustering iteration method to cluster the data of many years rainfall, and then considers sensitiveness coefficient as the foundation of calculating weight, which affects the crop output by valid rainfall in each growth stage. On this base, by means of the principle and method of R/S analysis, this paper establishes the predicting model to research on time series data mining...
The objective of this letter is to integrate multiscale information for urban mapping using very high resolution (VHR) imagery. Three multiscale fusion methods were presented: 1) vector stacking (VS); 2) multiple support vector machines (multi-SVMs) fuzzy output; and 3) multi-SVMs voting. Two kinds of spatial features were used to obtain multiscale representations of VHR images: morphological structural...
Based on the theories of Fuzzy Math and Analytic Hierarchy Process(AHP), combining the natural, social and economic characteristics of rock and soil filled dam and adequately considering different factors or indexes imposed on the safe operation of earthfill dam, the general safety assessment of earthfill dam through using multi-stratum fuzzy evaluation has been established. Furthermore, the safety...
Object categorization has become active in the field of pattern recognition. There are two main factors which affect the performance of classification. One is the representation of images, and the other is the design of classifier. The representation of images based on bag-of-word (BOW) has become a popular method because of its simpleness and high efficiency. This paper aims to compare some state-of-the-art...
In the following years, the desktop-based applications will be changed to cloud computing gradually. Since all users' profile and context data will be stored on the service supplier side based on their ID. ID is becoming a security bottleneck: attackers can trace all other information via user ID. Increasingly, a simple service may be involved in a chain of service clouds; each cloud is able to access...
Novel network architectures with distributed service components on both routers and end-systems have been proposed to provide the necessary flexibility in the next-generation Internet. Such architectures allow services to be composed along the data path to satisfy different communication requirements. A major operational challenge in such systems is to determine where to perform the required services...
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