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We presented a new algorithm of underwater bubble recognition, which employs background modeling, image segmentation and pattern recognition. After obtaining underwater bubble images, we can separate single bubble from it manually and construct the database. Having computed Hu moment of samples for training and test, we can get the threshold and store. Then inputting the other images of sample, we...
This paper proposes a speech/music classification system based on i-vector. An analysis of two classification methods, namely cosine distance score (CDS) and support vector machine (SVM) is performed. Two session compensation methods, within-class covariance normalization (WCCN) and linear discriminant analysis (LDA) are also discussed. The performance of proposed systems yields better results compared...
We present a method for automatically learning object and state models, which can be used for recognition in an augmented reality task guidance system. We assume that the task involves objects whose appearance is fairly consistent, but the background may vary. The novelty of our approach is that the system can be automatically constructed from examples of experts performing the task. As a result,...
Frequent pattern mining is an important data mining task. Since its introduction, it has drawn attention from many researchers. Consequently, many frequent pattern mining algorithms have been proposed, which include level-wise Apriori-based algorithms, tree-based algorithms, and hyperlinked array structure based algorithms. While these algorithms are popular and benefit from a few advantages, they...
In order to solve the small sample problems and the linear inseparable problems caused by some nonlinear factors, this paper proposed a method to generate multiple virtual samples similar to the original images by its class, then all virtual samples were combined as a new database for training. The method not only helps to increase more samples, but strengthens the reliance of virtual samples on the...
Lactobacillus delbrueckii has been widely used in combination with Streptococcus thermophilus for yogurt fermentation. It has genes encoding both D- and L-type lactate dehydrogenase (LDH) that catalyze the production of L (+) or D (−) stereoisomer of lactic acid, respectively. D-lactic acid is the primary lactate product by L. delbrueckii, yet it cannot be metabolized by human intestine. Since L....
When kernel principal component analysis (KPCA) is applied for pattern classification problems such as face recognition, the more training samples are not leading to the easier way to get the useful principal components for classification. The reason is there are some samples containing lots of redundant information which is not conducive to classification and must be excluded from the training samples...
With the high-speed development of the network, the web platform has been wildly applied to various kinds of industries. The paper analyses MVC pattern framework, which can truly achieve a complete separation of the view, controller and model, implement the separation of business logic and presentation layer, and improve the development efficiency and software reusability. The research is designed...
We present a new gait identification method based on dynamic time warping (DTW), as video surveillance system requires high accuracy and precision. It could reduce computational cost of gait recognition, significantly improve the recognition rate for gait and meet the demand of video surveillance. The characters of human appearance have been utilized to extract entire binary image of human silhouette...
Recognizing human activities from common color image sequences faces many challenges, such as complex backgrounds, camera motion, and illumination changes. In this paper, we propose a new 4-dimensional (4D) local spatio-temporal feature that combines both intensity and depth information. The feature detector applies separate filters along the 3D spatial dimensions and the 1D temporal dimension to...
E-commerce Web sites provide the economic information by query interfaces. Query interfaces are considered as deep Web services that indirectly reflect the real schema of the hidden databases. The valid accessing method of deep Web is through query interfaces. However, the query interfaces are designed and coded in different development models and using different programming languages and the semantic...
This paper creates an operational swift solution for automatic analyzing water quality in case II waters. The HJ-1 satellites of China was successfully launched, this provides a good opportunity for case II water (inland and coastal water) environment monitoring. However, there is no operational monitoring system in China and abroad. The traditional processing methods were developed for expert users,...
Water pollution incidents have taken place in China frequently resulting in an enormous economic loss. How to solve the problem timely, effectively and efficiently becomes a significant issue to scrub the deleterious effects of sudden pollution accidents. Emergency pollution incident management system is a complete system composed of data layer, model layer and the system interface layer. It has early...
This paper presented a new gait identification and authentication method based on Haar wavelet and Radon transform. This method consists of two stages, gait modeling and recognition. In the first stage, images extracted from video sequences are pre-processed into binary silhouette. In terms of gait cycle, they are divided into 4 states, in each of which the distinct images are selected. The horizontal...
We present a face recognition method based on sparse representation for recognizing 3D face meshes under expressions using low-level geometric features. First, to enable the application of the sparse representation framework, we develop a uniform remeshing scheme to establish a consistent sampling pattern across 3D faces. To handle facial expressions, we design a feature pooling and ranking scheme...
A bibliometric analysis was applied in this work to evaluate global scientific production of data mining papers of the science citation index (SCI), which was compiled by Institute for Scientific Information (ISI), Philadelphia, USA. The published output analysis showed that data mining research steadily increased over the past 20 years and the annual paper production in 2007 was about three times...
The turbo-generator unit is very important equipments for electric power production, which has a high rate of fault and causes a lot of harm because of the structural complexity and the special circumstance. With the increasing of the capacity of the unit, the condition monitoring and fault diagnosis plays an important role to ensure safe operation and guarantee the efficiency. Therefore, the real-time...
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