Intelligent assistants are ubiquitous and will grow in importance. Apple’s well-known assistant Siri uses Active Ontologies to process user input and to model the provided functionalities. Supporting new features requires extending the ontologies or even building new ones. The question is no longer “How to build an intelligent assistant?” but “How to do it efficiently?” We propose EASIER, an ap...

The explosive growth of World Wide Web (WWW) has necessitated the development of Web personalization systems in order to understand the user preferences to dynamically serve customized content to individual users. To reveal information about user preferences from Web usage data, Web Usage Mining (WUM) techniques are extensively being applied to the Web log data. Clustering techniques are widely...

In order to quickly and accurately realize target recongnition when the crop demanding, adopt green strength of RGB`s method to identify the crop from the background of elaphic, the recognition accuracy was more than 98%. Use density DBSCAN fuzzy clustering algorithm, by means of setting two parameters ε and MinN, in the density DBSCAN fuzzy clustering algorithm, to determine a cluster gather o...

The spatial and dynamical structure of star-forming regions can help provide insights on stellar formation patterns. amount data from current upcoming surveys calls for robust objective procedures to detect structure, so the results be statistically analysed different compared. We community with a tool able small scale significant above random expectation, in regions, which could imprint proces...

To solve the problem of orchard environmental perception, a 2D LiDAR sensor was used to scan fruit trees on both sides test platform obtain their position. Firstly, two-dimensional iterative closest point (2D-ICP) algorithm complete cloud data sides. Then, combining lightning connection (LAPO) and density-based clustering (DBSCAN), tree detection method based (LAPO-DBSCAN) proposed. After obtai...