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Traditional micro-Doppler (m-D) analysis theories largely focus on isolated targets, making these theories difficult to utilize in monitoring and recognizing space group targets. This letter proposes an algorithm for separating ballistic group targets based on the extraction of micromotion features. Modeling the ballistic targets as cone–cylinder models, the skeleton extraction method in morphology...
Nowadays, every country pay attention to environment protection, so study on environmental monitoring management system (EMMS) will play more important role. This study integrated the big data technology into EMMS. First, it describes the traditional EMMS which has basic functions. Next it introduced big data technologies and analyzed EMMS system structure integrating with big data and gives an actual...
The real-time information on the Web changes dynamically and surge quickly, which cause considerable difficulty in access to interested information. How to mine hot events, how to analyze the correlation of events and how to organize information structurally are challenging tasks. In this paper, to address these problems, we propose STeller, an approach to mine context-aware story — a series of correlated...
While e-commerce has grown substantially over last several years, more and more people are utilizing this popular channel to purchase products and services. Thus the ability to predict user demographics, including gender, age and location has important applications in advertising, personalization, and recommendation. In this paper, we aim to automatically predict the users' genders based on their...
Computer simulations are being seen as the third mode of science, complementing theory and experiment. The vast quantities of data that simulation system produce, gather and store fuel the demand for more effective means of deriving value from them. Data mining technique can discover the valuable knowledge from the massive data automatically. Through analyzing the massive simulation data by data mining...
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