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Heart sound signal has great value in clinical application, before identifying the components and doing further analysis, removing interference noise is necessary. In order to remove noise from heart sound signal well and be convenient to use, we apply generalized mathematical morphology in handling the signal which contains noise, high-frequency and low-frequency noise could be eliminated by a combination...
Data warehousing continues to play an important role in global information systems for businesses. Meanwhile, applications of data warehousing have evolved from reporting and decision support systems to mission critical decision making systems. This requires data warehouses to combine both historical and current data from operational systems. Since a join operation is one of the most expensive operations...
The telecommunication network has a large scale and an intense complexity. Agents distributed over diverse network elements have collected an immense number of KPI data, the key indicators of network performance. These time series data can have mutual impact. This paper puts forward an improved algorithm named AFP-Growth to mine association rules of inter-transaction time series in the telecommunication...
Junction is a necessary operation when vector-data entering into database to be stored. The current widespread use of junction is based on map. But the algorithm which restricted by the border of map canpsilat meet the demand of junction of arbitrary scope. In order to achieve the seamless integration of the spatial database after incremental updates, the algorithm of junction of arbitrary scope which...
In this paper, we present an algorithm for segmenting moving objects from videos based on lifting wavelet transform. We firstly segment a video into scenes. Then several iteration of 1D lifting wavelet transforms are performed on each scene on time axis. Because wavelets have the ability of telling apart different frequency, we can extract the sections with high frequency, which represent the moving...
Based on equilibrium chance theory, this paper presents a new class of fuzzy random minimum risk portfolio selection problem. In this problem, values of some functions are numerical characteristics of fuzzy random phenomena dependent on decision variables. This feature leads to the main difficulty encountered in solving the proposed portfolio selection problem. Therefore, conventional solution methods...
This paper mainly focuses on the construction algorithm for ad hoc virtual backbone. The virtual backbone is approximated by minimum connected dominating set in unit-disk graphs. The approximation algorithms to compute network blocking are called CDS algorithms. There are various distributed CDS algorithms. We propose improved measures based on a cost-aware algorithm. The improved algorithm optimizes...
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