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Aimed to solve the efficiency and timeliness problems in the traditional road updating method, the authors propose a new solution based on floating car data. By the procedures of map matching, point density analysis and automatic vectorization, the authors successfully extract plenty of new roads. The validation result shows that the method proposed here is a more efficient and timely way to update...
Nowadays, the lung lobe segmentation is the most basic step in Lung CAD (Computer-aided diagnosis) and is playing an increasingly important role in the early diagnosis of lung diseases and the analysis of pulmonary functions. The key to achieving lung lobe segmentation is to detect and locate lung fissures. With the wide applications of HRCT (High-Resolution Computed Tomography), CT data with higher...
How to extract envelopes accurately is the most important problem in analyzing heart sound signals, especially for abnormal heart sound signals. An effective envelope extraction is a key to the detection of S1 and S1 periods and noise separation, moreover, for estimating the type of heart disease. This paper compares six efficient envelope extraction methods based on abnormal heart sounds, with comparisons...
Solving the fundamental matrix is an important research topic in computer vision. The relationship between the epipole and the parameters of fundamental matrix can be found from the fundamental matrix of rank 2. A new model is equivalent to the fundamental matrix of rank 2. The model of the fundamental matrix, whose rank equals 2 can be provided. According to the relationship between the parameters,...
The problem of gait period detection was transformed to that of regional characteristics analysis in a single frame, namely, the gait period was divided according to region characteristic variable in each frame. A method for gait period detection based on regional characteristics analysis is proposed in this paper. Gait video sequences were coarsely classified into frontal and non-frontal ones in...
In this paper, we solve for the optimal spectrum management of the sum-rate maximization problem in two-user symmetric interference channels. A sum-power constraint, or equivalently, equal power constraints are assumed. First, by solving a closed form equation, we explicitly obtain the optimal spectrum management in flat channels as an optimal combination of flat FDMA and flat frequency sharing, exploiting...
The paper points out problems in some existing themes,and puts forward a new method for predicting the mobile path based on pattern mining and matching, called PMM.The paper compares the performance of the PMM with Order-k Markov predictors using a trace of the mobility patterns of 1,200 users on real Wi-Fi wireless network.And the result shows that this method can achieve a relatively perfect predicting...
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