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The problem of image Gaussian noise filtering in the framework of Pulse Coupled Neural Network (PCNN) time matrix is addressed. The time matrix, generated by PCNN, contains useful information related to spatial structure of the image under processing. It is a mapping from image spatial information to time sequence. Through time matrix, Gaussian noisy pixels can be detected and then processed by using...
The problem of watermarking for binary images in the framework of wavelet transform is addressed. At first, wavelet transform is implemented to the original binary image, and then those areas that have more rich veins were selected to be inserted watermark by analyzing the wavelet coefficients. The selection of the areas and the locations to insert watermark is controlled by a secret key. Watermark...
Knowledge representation and organization takes an important role in an e-learning system. In this paper, we put forward a metadata model for agriculture e-commerce knowledge management on the base of our investigation. The metadata model contains three classes which are personnel information class, agriculture e-commerce knowledge class and agriculture e-commerce domain class. Furthermore, we also...
This paper describes a novel algorithm of image enhancement based on pulse coupled neural network (PCNN) time matrix and rough set indiscernibility relation. Firstly, detect image noise using PCNN time matrix, and then partition the original image into three sub-images according to intensity attribute and noise attribute. Secondly, denoise using filtering methods based upon PCNN. Lastly, complete...
To identify differentially expressed genes in lung squamous cell carcinomas (SCCs), the suppression subtractive hybridization method (SSH) was performed comparing six lung tumour tissues and 10 morphologically normal bronchial epithelial tissues. A cDNA library consisting of 220 upregulated genes in tumour tissue was established and named as LSCC (lung squamous cell carcinoma). Of them, six were tested...
The E2F3 transcription factor has an established role in controlling cell cycle progression. In previous studies we have provided evidence that nuclear E2F3 overexpression represents a mechanism that drives the development of human bladder cancer and that determines aggressiveness in human prostate cancer. We have proposed a model in which E2F3 overexpression co-operates with removal of the E2F inhibitor...
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