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There is frost in Bohai bay every winter due to the geographical latitude and the cold air coming down from the north. The annual winter sea ice in the Bohai Bay has become a natural disaster which affects the port manipulation, shipping transportation severely. At present, the remote sensing technology has been very mature in sea ice monitoring. As one of the most important multispectral data source...
Automatic data collection (ADC) systems are becoming increasingly common in transit systems throughout the world. Although these ADC systems are often designed to support specific fairly narrow functions, the resulting data can have wide-ranging application, well beyond their design purpose. Relative to traditional manual survey, transportation planners only need to dig existed database to get both...
The problem of measuring the semantic similarity between words has been considered a fundamental operation in the field of computational lexical semantics, but the accuracy of existing computational methods is not very close to what humans would perceive. This paper presents a new approach to measure the semantic similarity between words in the hierarchy of WordNet. Our approach considers not only...
In this paper, we propose a new measure framework for evaluating taxonomy relationships in ontologies using lexical semantic relatedness. First, we suggest a new quantitative measure model for WordNet, the model can be used to compute the semantic relatedness of concepts in ontologies. Next, according to the relativities of concepts, we describe the way to estimate the classification consistency of...
A significant percentage of online content is now published and consumed via the mechanism of crowdsourcing. While any user can contribute to these forums, a disproportionately large percentage of the content is submitted by very active and devoted users, whose continuing participation is key to the sites' success. As we show, people's propensity to keep participating increases the more they contribute,...
The universal trapezoidal tapered ring has been widespread applied in the tunnel engineering. However, it is difficult to select rational ring-key position location. As it can be defined as a restrictive multi-classes problem, traditional method cannot be used directly. This paper proposed a novel method, CBPSO-RMCSVM, which combines chaos binary particle swarm optimization (CBPSO) with restrictive...
Data visualization can represent clearly the data difference and data change trend. It can help scientific researchers find the rules and trends behind the data quickly. In the process of monitoring eco-environment in Three Gorges reservoir area, a large database (>TB) of data has been acquired. How to fully utilize these data to analyze the trend and evaluate the eco-environmental impact of Three...
In college English teaching (CET), evaluation is not only to check the results of learning but also a strategy to reform teaching model. The focus in the article is placed on the formative evaluation strategies to facilitate studentspsila interaction and autonomous learning. The principle of Criterion First and the evaluation interpretation strategies--- student team achievement division (STAD) and...
Spatial clustering is an important research topic in spatial data mining (SDM). Many methods have been proposed in the literature, but few of them have taken into account constraints that may be present in the data or constraints on the clustering. These constraints have significant influence on the results of the clustering process of large spatial data. In this paper, we discuss the problem of spatial...
Spatial clustering is an important research topic in spatial data mining (SDM). It is not only an important effective method but also a prelude of other task for SDM. Grouping similar data in large 2-dimensional spaces to find hidden patterns or meaningful sub-groups has many applications such as satellite imagery, geographic information systems, medical image analysis, marketing, computer visions,...
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