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Speech feature learning is very important for the design of classification algorithm of Parkinson's disease (PD). Existing speech feature learning method for classification of PD just pays attention to the speech feature. This paper proposed a novel hybrid feature learning algorithm which puts the features of all the speech segments of each subject together, thereby obtaining new and high efficient...
The Geostationary Interferometric Microwave Sounder (GIMS) is millimeter wave imaging sounder concept proposed for China's next generation geostationary meteorological satellite (FY-4M). GIMS is supposed to utilize a rotating circular thinned array, instead of a stationary Y-shape array, to reduce the required number of the antenna elements. A proof-of-concept 53GHz ground-based GIMS demonstrator...
Ship detection using synthetic aperture radar (SAR) is an important application in maritime transportation monitoring. However, azimuth ambiguities are inevitably caused by the undersampling of the echo signals, which can be easily mistaken as ship targets in the detection result. To solve the problem mentioned above, a fast object-oriented method for azimuth ambiguities removal based on quantitative...
Current TCP/IP based network is suffering from the usage of IP especially in the era of Internet of things (IoT). Recently Content Centric Network (CCN) is proposed as an alternative of the future network architecture. In CCN, data itself, which is authenticated and secured, is a name and can be directly requested at the network level instead of using IP and Domain Name System (DNS). Another difference...
Software testability is the degree of difficulty to test a program. Code visibility is important to support design principles, such as information hiding. It is widely believed that code visibility has effects on testability. However, little empirical evidence has been shown to clarify whether and how software testability is influenced by code visibility. We have performed an empirical study to shed...
A new method is presented for maintenance personnel ability evaluation. It's rebuilt from the FCE method. First, the paper designed an evaluation index model. Then the application steps of the fuzzy evaluating method are introduced, combined with an instance.
The characteristic of EEG signal in drowsy driving was researched. A method based on power spectrum analysis and FastICA algorithm was proposed to determining the fatigue degree. In a driving simulation system, the EEG signals of subjects were captured by instrument NT-9200 in two states, one state was sober, and the other was drowsy. The multi channel signals were analyzed with FastICA algorithm,...
Modeling Internet topology is necessary for analyzing of network characteristics for the large and even growing network size. For example, the evolution of network structure and node attributes in the network is a key issue for us to understand the network properties and to design appropriate internetworking technology. In this paper, we define ??favorability degree?? to quantity the attributes of...
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