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In this paper, we will present a multi-stage adaptive binarization scheme for document images taken under challenging illumination condition. The approach includes two phases. In the first phase, the document image is roughly separated into background part and text part based on a coarse adaptive method. In the second phase, based on the information obtained in the previous stage, the document image...
Reverse nearest neighbor (RNN) queries have a broad application base such as decision support, profile-based marketing, resource allocation, data mining, etc. Previous work on RNN search does not take obstacles into consideration. In the real world, however, there are many physical obstacles (e.g., buildings, blindages, etc.), and their presence may affect the visibility/distance between two objects...
Spatial information data grid is powerful for distributed data sharing and collaborating. But the difference among meta-data produced by space agencies around the world makes it difficult to re-organize data and share them when enabling spatial information data grid. In this paper, a way named meta-data adapter is proposed, which can interpreter original meta-data with different syntax and semantic...
Mobile ad hoc networks possess the following features: open transmission medium, dynamic topology structure, acentric management and distributed cooperation, and so on. Therefore, Ad Hoc Networks have high practical value, while at the same time it is difficult for which to guarantee the routing security, which is the most important component of the entire network's security, it is also a difficult...
In this paper, we have proposed a method to identify and track the drifted topics in the background of the social media through exploring the heated comments published, discussed, and voted by the participants of the social media. Based on this approach, we have further developed a way to optimize the recommendation of the relevant news to the readers of certain news by using the keywords generated...
This paper analyses three existing methods of WSN data storage. Based on disadvantage of data-centric storage(DCS), the shortest path first of DCS(SPF-DCS) is present. Compared to DCS, the advantage of this method is that home node finds only one node as its own replica node. SPF-DCS can reduce communication between home node and other nodes, decrease the power consumption of node and prolong lifetime...
In this paper, we present a novel title extraction method from loosely structured data records (LSDRs). Firstly, we automatically identify the format of titles and then extract them accordingly. For the Web page whose title is occurred in all the data records, we obtain the one in the candidate titles which has the largest length of the dasiasame contentpsila as the accurate title. And for the Web...
Extracting loosely structured data records (DRs) has wide applications in many domains, such as forum pattern recognition, blog data analysis, and books and news review analysis. Currently existing methods work well for strongly structured DRs only. In this paper, we address the problem of extracting loosely structured DRs through mining strict patterns. In our method, we utilize both content feature...
Given a set of trajectories D, a query object (point or trajectory) q, and a query interval T, a mutual (i.e., symmetric) nearest neighbor (MNN) query over trajectories finds from D within T, the set of trajectories that are among the k1 nearest neighbors (NNs) of q, and meanwhile, have q as one of their k2 NNs. This type of queries considers proximity of q to the trajectories and the proximity of...
The upcoming 3G environment is surely of heterogeneous mobile devices and heterogeneous wireless networks. Many applications such as multimedia streaming, online games and peer-to-peer file sharing will be widely used in such an environment in which users can have their own individual choices of devices and services. In particular, users can carry heterogeneous mobile devices with different cache...
When people realized that relational databases fall short in supporting advanced applications including multimedia data management due to the limited modeling power of the relational data model, researchers went ahead with devising semantic, object-oriented data models in the 80's (until early 90's). While the later commercial development of database systems has led to the so-called object- relational...
On-Line Analytical Processing(OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision support purposes. Data warehouses tend to be extremely large. Queries tend to be complex and ad hoc, often requiring computationally expensive operations such as multi-table joins and aggregation. To solve this problem, a novel pre-aggregation algorithm,...
The OLAP (on-line analytical processing) queries are ad hoc, complex aggregation queries on massive data set. How to effectively aggregate the query data becomes the key issue for OLAP query evaluation. To solve this problem, a novel grouping aggregation algorithm, DHEGA(grouping aggregation based on the dimension hierarchical encoding), is proposed in this paper. It utilizes the fairly short DHE(dimension...
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