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In music mood prediction, regression models are built to predict values on several mood-representing dimensions such as valence (level of pleasure) and arousal (level of energy). Many studies have shown that music mood is generally predictable based on music acoustic features, but these experiments were mostly conducted on datasets with homogeneous music. Little research has been done to explore the...
With the rapid spread of Internet and the mobile web, the number of news pages is increasing quickly as well as the content of news becomes highly dynamic. It's difficult for normal users to obtain specific information contained in a mass of news streams. So it's of great research significance to study how to analyze massive news, detect and track news hotspots automatically. This research proposes...
Electronics thermal management for high power applications is crucial. Modeling is an indispensable tool to help engineers design better electronics cooling systems. An efficient transient thermal model for electronics thermal management based on singular value decomposition (SVD) is proposed. The model generation process starts with computation fluid dynamics (CFD) results of an electronics model,...
Traditional agent-based modeling is inaccurate and not standard in building network active defense model. To solve such problems, this paper gives the model process of DDoS active defense based on multi-agent. The process models the system from static and dynamic aspects. At the same time, the paper proposes “Goal-Rule-Learn” hybrid agent structure model and “Autonomous-Cooperation-Fight” agent behavioral...
The performance of dynamic adsorption and the effects of height of filler, MB initial concentration and flow rate on the breakthrough curves were investigated by the dynamic adsorption experiment of the filler column. The results showed: Aged-refuse can effectively adsorb MB in the water, with the increase of filler height, the breakthrough point in the curve move toward the right and the breakthrough...
How to predict the self-similar network traffic with high burstiness is a great challenge for network management. The covariation orthogonal prediction could effectively capture the burstiness in the network traffic, and the artificial neural network prediction could adapt the network traffic change by self-learning. To improve the prediction accuracy, we propose a new hybrid network traffic prediction...
The traditional methods of network management (NM) simulative training have the problems such as low fidelity, difficult realization, without data packet transmission simulating and etc. This paper applied "object in the loop" technology and solved these problems effectively. Firstly, a simulative training architecture based on High Level Architecture (HLA) and real NM software was proposed,...
The distributed Tactical Internet (TI) simulative training has been the developing trend nowadays, and its network simulation needed dynamic and real-time requirement. Therefore, the paper proposed a TI simulative training architecture based on High Level Architecture (HLA) firstly, it resolved the distributed simulative training problem of TI. Secondly, the paper proposed a design scheme of TI network...
In this paper, a Web browser based garment and mannequin 3D display system for online cloth virtual fitting room is described. The system architecture and related techniques such as geometry description, data structure, real-time drawing, organization of scene and graphic primitives, communication with ActiveX control and JavaScript are discussed. The prototype system shows good display effect and...
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