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Nowadays, the population has been overgrowing due to urbanization, yielding many severe problems in the urban area, including traffic congestion, unbalanced distribution of urban hotspots, air pollution and so on. Due to the uncertainty of the urban environment, it always needs to integrate experts' domain knowledge into solving these issues. In recent years, the visual analytics method has been widely...
With the development of information technology, the electric power system has gradually entered a new stage. And the security problem of electric power system has become an important research filed. In this paper, we applied wavelet technology and digital watermarking algorithm to improve the security level of the electric power system. This two technologies can complete sensitive information hidden...
In this paper, we propose a novel deep end-to-end network to automatically learn the spatial-temporal fusion features for video-based person re-identification. Specifically, the proposed network consists of CNN and RNN to jointly learn both the spatial and the temporal features of input image sequences. The network is optimized by utilizing the siamese and softmax losses simultaneously to pull the...
In this paper, a hierarchical and informative summarization framework is proposed, which facilitates rapid video browsing. Moreover, a method for loitering detection is exploited to indicate potential abnormal behaviors. The hierarchical framework includes two levels: a holistic-level and an object-level. The holistic-level summarization provides viewers with a comprehensive and compact representation...
We can find potential relationship behind the data by data mining for e-commerce, so adjust dynamically web page structure, improve service, and meet better consumer demand. This paper discusses the data resources used by data mining in e-commerce and their characteristics, gives the basic process of data mining, analysing e-commerce data mining techniques used, at last points out the current problems...
Data streaming (DS) over peer-to-peer (P2P) networks has been intensively studied in recent years and there have been various schemes proposed already. To evaluate these schemes, either measurement in experimental implementations, or simulation and theoretical analysis have been used. The former is inadequate as data are collected from different experiments, while the latter lacks a proper theoretical...
For intelligent video surveillance application, the problem of ghosts that appears on motion detection may impose adverse impact on target identification. Based on the spatial-temporal correlations at pixels of the contour area of foreground blobs (PCFB), an efficient method for detecting ghost and left objects is proposed in this paper. This method contains three main steps: firstly, the average...
This study used a theory from the field of knowledge management to evaluate the effectiveness of an on-line activity which was implemented in a grade eight class in Taiwan. In this activity, students were asked to search and share related knowledge to design and build a golf ball slide. The result showed that Students were retrieving prior knowledge more frequently than capturing new knowledge. Also,...
In opportunistic networks, communities of mobile entities may be utilized to improve the efficiency of message forwarding. However, identifying communities that are dynamically changing in mobile environment is non-trivial. Based on random walk on graphs, in this paper we present a community detection algorithm that takes into account the aging and weight of contacts between mobile entities. Our idea...
Information integration has been an important area of research for many years, and the problem of integration of geographic data has recently emerged and is an important content of geography information science researches. The traditional spatial data integration mainly pays attention to transformation between data filespsila form, the vector and the grid data, the different scale and the automatic...
Based on the switching function algorithm of the traditional matrix converter, that of matrix rectifier (MR) is derived in positive and negative phase sequence with four-quadrant capability. Afterward that of MR under unbalanced input voltage conditions is also derived by detecting and using instantaneous values of input voltages. But the gained algorithm in the case is not fully suitable for the...
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