The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In the era of big data, massive data has been accumulated in integrated application platform of traffic management of public security. Confidential information leakage is one issue of great importance in the process of data collecting, storing, processing and utilizing. In this work, we propose an anomaly detection approach for the prevention of confidential information leakage. Assume that users'...
A face recognition algorithm based on weighted wavelet transform and compressive sensing is proposed in this paper. Considering the influence of wavelet transform on each component, the low-frequency components, the horizontal and vertical components are weighted fused. It can reduce the loss of the identification information and the dimensionality of face images. Then, principal component analysis...
Knowledge about fluid mud acoustic properties is a key to understanding acoustic wave propagation in sediments and is very important for military oceanography and ocean engineering, especially for the typical rapid depositional areas of estuaries and coasts. The acoustic parameters of fluid mud are essential to the in-situ measurement of the thickness and physical properties of fluid mud. In this...
This paper builds improved Stochastic Filtering Model (SFM) for Condition Based Maintenance (CBM) using covariates obtained from Dynamic Principal Component Analysis (DPCA) of oil data. DPCA covariates, derived from DPCA of the oil data, represent most of the variability in the original data with reduced dimension and little cross-correlation. This makes DPCA covariates ideal for maintenance modeling...
In order to make better use of existing environmental data resources and enhance regional environmental management and improve the environment, this paper uses the work method which is effectively integrated by GIS and multivariate statistical analysis technology, through the regional air pollution relevant data of the combination of urban and rural areas in western Beijing, using the principal component...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.