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A novel denoising method which introduces guided filter form image processing filed to denoise acoustic signal is proposed in this paper. It is important to choose a right guidance signal for the guided filter and wavelet denoising will be used to get guidance signal in this paper. For acoustic signal, getting the actual signal without noise is difficult, and it will affect the identification of the...
MOOCs are developing rapidly with low completion rates which is questioned widely. But with its massive participation, there still are many MOOCs completers, who are what the course designers and investors want to attract and develop. What are the differences between the learners who complete the MOOCs and those who do not? How was the professional training MOOC designed to improve the completion...
Neural Networks have been widely used in the field of intelligent information processing such as classification, clustering, prediction, and recognition. Unsupervised learning is the main method to collect and find features from large unlabeled data. In this paper a new unsupervised learning clustering neuron network—Dynamic Growing Self-organizing Neuron Network (DGSNN) is presented. It uses a new...
This paper presents a new approach to single-image super-resolution reconstruction, based on sparse signal representation using classified dictionaries. The high-resolution and low-resolution image patches training sets are divided into two categories respectively by two new classification templates which give consideration to direction and edge features. Then, we train a pair of learning dictionaries...
Collaboration is to make full use of the advantages of each one, not only saving time but also saving resources. As a form of collaboration, online reviews attract attentions of scholars and businessmen in China. However, previous research mostly explores how review quality affects product sales or how review content influences quality of online review. In this study, we present how social capital...
Basing on the fact that the cartoon and texture in one image have different morphological characteristics, we propose a new model to zoom image. Combining with RDWT, the dictionary sparsely representing the cartoon, and WAT, the dictionary sparsely representing the texture, the presented model can effectively obtain the cartoon and texture. Then, we zoom the cartoon by C&E model and zoom the texture...
In this paper, we propose a new decomposition model combined with sparse representation and total variation (SRTV), which allows us to separate cartoon and texture components from an image. The SRTV model naturally fits into the framework of separation and produces separated layers, meanwhile, denoising and inpainting process appears as the byproducts. Therefore, the new approach incorporates separation,...
Presents the hardware implementation of a wavelet image coder. It proposes the architectures to achieve 2-D Discrete Wavelet Transform (DWT) and a fast zerotree image coding (FZIC). The Verilog HDL models for 2-D DWT and FZIC are programmed, and extensive simulation has been carried out to optimize the design. The completed design is synthesized to Altera CPLD.
Perfluorooctane sulfonate (PFOS) has increasingly attracted global concerns in recent years and has also been proposed as the candidates of persistent organic pollutants due to their world-wide distribution, environmental persistence and bioaccumulation potential. The adsorption mechanism of PFOS from aqueous solutions onto granular activated carbon (GAC) was investigated. The adsorption reaction...
The traditional fault diagnosis expert system is dependent on knowledge acquisition of the experts. Knowledge acquisition is recognized as the "bottleneck" problem of expert system. In addition, there are also some limitations of adaptive capacity, learning ability and real-time. And artificial neural network with good fault-tolerance and associative memory function, as well as very strong...
Nowday, wireless LANs are widely deployed in various places such as corporate office conference rooms, industrial warehouses, Internet-ready classrooms, etc. However, new concerns regarding security have been raised. Intrusion detection, as the second line of defense, is an indispensable tool for highly survivable networks. In this paper two anomaly intrusion detection methods are proposed for wireless...
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