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With the rapid development of Internet and information technology, information literacy has become an essential skill in the information society. China pays great attention to the development of information literacy of primary and secondary students. Nowadays, many countries have developed authoritative assessment scale, however, most of them only use it as a testing tool but fail to have real effects...
An investigation on classification of emotional speech cross different language families is proposed in this paper. Datasets on three languages, CDESD in Mandarin, Emo-DB in German, and DES in Danish are analyzed. With 2-D classifications on arousal-appraisal space, better recognition performances are observed in arousal dimension than in appraisal dimension. The classification rates in cross language...
A cross-corpus classification of emotional speech on two datasets, Emo-DB in German and DES in Danish is investigated in this paper. 2-D classifications on arousal-appraisal space leads to significant improvement than in one-step classifications. Emotions are better recognized in arousal dimension than in appraisal dimension. The best classification rate in the cross-corpus test is achieved on male...
Ultra Wideband (UWB) radio regulations have been discussed in recent years because of the potential interference of UWB radios to other radio systems with which they share the spectrum. A mitigation technique for UWB devices named Detect and Avoid (DAA) has been proposed as a potential solution to reduce the risk of interference. DAA testing presents specific challenges related to the low emission...
Virtual Experiment Testing System and Virtual Experiment Education Platform are two different Virtual Experiment systems developed by two different groups for different purposes. However, in order to guarantee all kinds of virtual experiment resources designed by different developers can be shared in the platform, they should be all tested by the Virtual Experiment Testing System before storage. Since,...
This paper presents a hybrid algorithm which combines chaos, immune and genetic algorithm to design the radial basis function neural networks. We use the chaos variable which has the characters of pseudo-randomness and irregularity in chaos theory to generate the initial population, ensuring the initial solutions would map into the whole solution space. Moreover, by introducing the affinity calculated...
As one of the most important problems in data mining, many studies have been done on mining outliers. However, mining outliers in high-dimension has not been well addressed. In this paper, the concepts of reference radius and local deviation index are defined. A novel algorithm OMHKLD based on single-parameter-k local density in high-dimension for mining outliers is proposed. According to a new clustering...
The aim of this paper is to investigate the potential of Visible and short-wave near-infrared spectroscopy (Vis/SWNIR) technique used for brand discrimination of milk powder. Fifty samples for each brand were studied. Based on the independent components (ICs) as the input variable obtained from fast fixed-point independent component analysis (FastICA), Least-squares Support Vector Machine (LS-SVM)...
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