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A novel blind separation algorithm based on double compression for single-channel JPEG permuted image was proposed in this paper. Firstly, the permuted image was compressed again, and then the primary compression factors were estimated by calculating the correlation coefficients of image blocks in pre and post recompression. Secondly, a `mapping space' was constructed based on the primary compression...
Management of traffic incident is an essential part of emergency management. Impact analysis of incident becomes more and more important in the operation of Intelligent Traffic System. This paper uses flow data collected from loop detectors to analyze the impact of incident in urban traffic system. A complex network model using correlation coefficient as the edge weight is constructed. Then, the random...
Whether enterprise project investment can success or not, the key is how to evaluate various programs. This paper based on grey relational analysis theory, according to relational degree formula calculates the grey relational degree of initial decision matrix with the optimal sequence and the worst separately. On this basis, building the project investment grey comprehensive decision model. Finally,...
This paper proposes a method to assess human motion. This method supposes a skill acquisition support for trainee. By using the proposed method, trainee enables to evaluate how coincident own motions are with the motions of trainer. This evaluation is represented as trainee's point. Moreover, this method enables to define a number of motions as evaluation figure. These motions are conducted by a specific...
An up-to-date comparison of state-of-the-art low-level color and texture feature extraction methods, for the purpose of content-based image retrieval (CBIR) is presented in this paper. The CBIR problem is motivated by the need to search the exponentially increasing space of image and video databases efficiently and effectively. We implement and compare color and texture feature extraction algorithms...
Normal profiles have specific properties which would be changed when an attack occurs. The main property we have considered for each behavior is the correlation between the parameters of it. We compute a correlation matrix for normal sessions in the training phase. Then we select effective security parameters for our detection engine using an equivalent class with a graphical illustration namely correlation...
It has been proven that detecting the type of coal burning in the boiler is very important to the thermal power plants. But the identification of the coals online is hard, especially for the blended coals. In this paper, three flame information including average, standard deviation and oscillation frequency are extracted by a flame detector, and using the information extracted composes the flame feature...
The image match technology has become one of domain key technologies in pictorial information processing, and it has the widespread application background. Existed image match algorithm may divide into two kinds: one is based on image geometry characteristic match and another is based on picture element grey level match. It is mainly used correlation method of correlates to realize the template match...
Measuring taxonomic similarity between words plays an important role in many semantic-based applications but still remains a challenging task today. We propose a new method which utilizes restrictive context matrices for this problem. We learn a set of special lexico-syntactic patterns automatically and use them to extract taxonomic related contexts of words from raw text. These restrictive contexts...
In this paper, link level adaptation algorithms in a system applying spatial multiplexing in the presence of channel uncertainty are considered. The first part of this paper deals with the impact of accuracy of the channel knowledge on the post-processing signal-to-noise ratio (SNR) of transmitted multiple streams. This is evaluated by means of correlation coefficient between post-processing SNR values...
Traditionally, the sewer inspection usually discovers sewer failures on numerous CCTV images by human interpretation. However, it remains to be improved in both consideration of economic and efficient due to humanpsilas fatigue and subjectivity. To enhance the sewer inspection approaches, this paper attends to employ artificial intelligence into image process to extract the failure features of the...
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