In this paper, a color pattern recognition technique that is suitable for multicolor images of bark has been analyzed and evaluated. To extract the bark texture features, Gabor filter the image has been filtered with ...
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(纸本)1424406048
In this paper, a color pattern recognition technique that is suitable for multicolor images of bark has been analyzed and evaluated. To extract the bark texture features, Gabor filter the image has been filtered with four orientations and six scales filters, and then the mean and standard deviation of the image output are computed. In addition, the obtained Gabor feature vectors are fed up into radial basis function neural network (RBPNN) for classification. The performance of color space features is found to be better than that of the features which just extracted from gray image. The experimental results show this approach can be used to automatically identify the plant categories more effective
In this paper, we introduce our experiments on SLIM and DRBL diskless PC clusters. We constructed them by using 16 machines and only one disk. We run the matrix multiplication and bioinformatics software to evaluate t...
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In recent years, e-Learning has become a popular method of learning. Generally, an e-Learning Platform which provided multi-media content required a high capacity storage device such as NAS (Network Attached Storage) ...
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Since the beginning of the 21st century, knowledge has been accumulating at a tremendous speed. Access to global books, literature, and data are continually increasing in large quantities. With the development of Inte...
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Over the past decade, speed in the transmission of knowledge is no longer the way it used to be. Due to this influence, conventional educational methodology has also followed this trend and has gone through a momentou...
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The overall popularity of the Internet has helped e-learning become a hot method for learning in recent years. Over the Internet, learners can freely absorb new knowledge without restrictions on time or place. Many co...
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The overall popularity of the Internet has helped e-learning become a hot method for learning in recent years. Over the Internet, learners can freely absorb new knowledge without restrictions on time or place. Many companies have adopted e-learning to train their employees. An e-learning system can make an enterprise more competitive by increasing the knowledge of its employees. E-learning has been shown to have impressive potential in e-commerce. At present, most e-learning environment architectures use single computers or servers as their structural foundations. As soon as their work loads increase, their software and hardware must be updated or renewed. This is a big burden on organizations that lack sufficient funds. Thus, in this study we employ a kind of Grid computing technology, called the "Data Grid" to integrate idle computer resources in enterprises into e-learning platforms, thus eliminating the need to purchase costly high-level servers and other equipment.
In this paper, we evaluate the performance of Meghadoot - a packet based wireless mesh network architecture for low cost rural community networks. Meghadoot is designed for rural community networks as an alternative f...
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Since the beginning of the 21st century, knowledge has been accumulating at a tremendous speed. The amount of global books, literature, and data available has increased in astounding quantities. The traditional librar...
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Since the beginning of the 21st century, knowledge has been accumulating at a tremendous speed. The amount of global books, literature, and data available has increased in astounding quantities. The traditional library service system is no longer able to meet the requirements of the present reality. With the development of Internet and rapid advancement of information technology, a totally new knowledge transfer model has been developed: Books and other forms of data (including text, voice and images) are digitized and then provided to readers by way of a more convenient method, in order to search for and obtain the exact content they need from libraries. We propose a concept for a Global Digital Library Grid. This digital library organization would not only include new members (new libraries or new museums) but be flexible enough not to affect the systems and framework of the original Grid member. As the organization grows, it will form an enormous Virtual Grid Digital Library to provide readers with speedy Knowledge Service that meets their requirements.
In the present study, THUBioGrid, an experimental distributed computing application for bioinformatics (BioGrid) is proposed. THUBioGrid incorporates directory services (data and software), grid computing methods (sec...
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Efficient loop scheduling on parallel and distributed systems depends mostly on load balancing, especially on heterogeneous PC-based cluster and grid computing environments, In this paper, a general approach, named Pe...
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