Due to a rapid increase in the number of functionally equivalent web services at open and dynamic Io T service environment,Qo S has become a major discrimination factor to reflect the user's expectation and experi...
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Due to a rapid increase in the number of functionally equivalent web services at open and dynamic Io T service environment,Qo S has become a major discrimination factor to reflect the user's expectation and experience of using a *** are different languages and models for expressing Qo S advertisements and requirements among service providers and ***,it leads to the issues of semantic interoperability of Qo S information and semantic similarity match between a semantic description of the service being requested by the service consumer,and a formal description of the service being offered by the service *** this paper,we propose a hierarchical two-layer semantic Qo S ontology to promote the description and declaration of Qo S-based service information in detail for any domain and ***,we develop a semantic matchmaking algorithm to compare the web services according to their Qo S information and adopt analytical hierarchy process( AHP) to make decision for the ranked services depending on the Qo S *** comparison study and experimental result show that our proposed system is superior to other service ranking approaches.
P2 P-based content request has been widely used because of its numerous advantages, such as flexibility, load distribution, efficiency and so on. However, there are still some problems to be solved such as service sta...
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ISBN:
(纸本)9781509038237;9781509038220
P2 P-based content request has been widely used because of its numerous advantages, such as flexibility, load distribution, efficiency and so on. However, there are still some problems to be solved such as service stability, adaptation and so on. The fragmentation methods used in existing P2 P systems are generally fixed block-size method or fixed duration method,which have significantly different performances in different network conditions and cannot adjust to the change of network conditions. In this paper, a novel method is presented to provide adaptive adjustment of fragmentation size for enhancing the performance and service stability. To calculate the adaptive size of fragmentation, several factors are taken into consideration including transmission rate, packet loss rate, file distributions and different peers. The simulation results show that the presented method performs better than the other methods in most network conditions.
A novel back-projection framework for single image super-resolution is proposed in this paper. In our framework, the edge of the high-resolution image is firstly detected by the canny edge detection algorithm and the ...
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ISBN:
(纸本)9781467321969
A novel back-projection framework for single image super-resolution is proposed in this paper. In our framework, the edge of the high-resolution image is firstly detected by the canny edge detection algorithm and the bilateral filtering algorithm, and the high-resolution image is divided into edge area and flat area. Then the edge area of the high resolution image is filtered by the adaptive kernel regression denoising algorithm in the iterative back-projection process. And the flat area of the high resolution image is reconstructed by the iterative back- projection method. Experimental results demonstrate that the proposed method can reconstruct high quality images in both the measure of objective quality and the subjective perception.
In this paper, a novel video back projection super- resolution method using non-local prior is proposed. Our approach has three steps. First, we make initial motion estimation with block-matching and fine block matchi...
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ISBN:
(纸本)9781467321969
In this paper, a novel video back projection super- resolution method using non-local prior is proposed. Our approach has three steps. First, we make initial motion estimation with block-matching and fine block matching to search for the pixels with similar structural content from video sequences. In this process, an adaptive technique is introduced to avoid redundant search. Second, we do initial interpolation to the input video sequences and a bilateral filtering is applied to the interpolation frames to achieve edge-preserving image smoothing. Third, a video non-local means filter is applied to modify the error image in iteration step of the iterative back projection. The experimental result shows that the proposed method can increase image details, moreover, the chessboard effect and ringing effect along image edges can be removed and sharp and clear edges in visual perception will be obtained.
Convolutional neural networks in deep learning models have dominated the recent image recognition *** the lack of capacity to maintain spatial invariance makes identification of micronucleus cells as a classic task in...
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ISBN:
(数字)9781510630765
ISBN:
(纸本)9781510630758
Convolutional neural networks in deep learning models have dominated the recent image recognition *** the lack of capacity to maintain spatial invariance makes identification of micronucleus cells as a classic task in digital pathology still a challenge *** this paper,a novel convolutional neural network for feature maps spatial transformation(FSTCNN) is proposed,which incorporates a Spatial Transformer *** model allows the spatial manipulation of data within the network,provides the ability of active spatial transformation for neural network without any extra *** compared the results of inserting STN into different convolutional layers and found that such a network can transform the input image more steadily,correct the image to one certain position,make it fill the whole screen to create a better environment for image *** results show a distinct advantage over other convolutional neural networks for medical image recognition.
Based on the sequence entropy of Shannon information theory, we work on the network coding technology in wirelesssensornetwork (WSN). In this paper, we take into account the similarity of the transmission sequences ...
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Based on the sequence entropy of Shannon information theory, we work on the network coding technology in wirelesssensornetwork (WSN). In this paper, we take into account the similarity of the transmission sequences at the network coding node in the multi-sources and multi-receivers network in order to compress the data redundancy. Theoretical analysis and computer simulation results show that this proposed scheme not only further improves the efficiency of network transmission and enhances the throughput of the network, but also reduces the energy consumption of sensor nodes and extends the network life cycle.
Colorization is a computer-aided process of automatically adding colors to grayscale images or videos according to the colors scribbled on by the user. In this paper, we propose a novel colorization method which based...
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ISBN:
(纸本)9781467321969
Colorization is a computer-aided process of automatically adding colors to grayscale images or videos according to the colors scribbled on by the user. In this paper, we propose a novel colorization method which based on correlation neighborhood similarity pixels priori. First, according to a key observation that similar intensities neighboring pixels have similar colors, our method searches the similarity neighborhood pixels group. Then, we compute the weighted coefficients of the neighborhood pixels in the luminance image and transmit the weighted coefficients to the chrominance. Finally, we obtain the chrominance values by solving a quadratic optimization problem which uses the colors scribbled on by the user as the linear constraints. The experimental results show that our approach is quite effective especially in the boundary parts. Moreover, our method can give better visually results when only a few colors scribbled on.
In cognitive radio system, the Cournot game model is used for analyzing the spectrum allocation of primary users. Considering the noise is random, the spectrum allocation of primary user based on Bayesian game is prop...
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ISBN:
(纸本)9781467321969
In cognitive radio system, the Cournot game model is used for analyzing the spectrum allocation of primary users. Considering the noise is random, the spectrum allocation of primary user based on Bayesian game is proposed in this paper. First, the transmit power is viewed as one factor of the cost function. And considering the noise is uncertain, the high noise and the low noise are viewed as two different types of primary users. Then, we can obtain the strategy of primary user by using dynamic Bayesian game. The experimental results on spectrum allocation demonstrate the effectiveness of the proposed scheme.
This paper combines adaptive sub-carriers allocation, power allocation in OFDMA with the transmission of the H.264 SVC (Scalable Video Coding) encoded video sequences in order to support more user and provide better q...
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ISBN:
(纸本)9781467321969
This paper combines adaptive sub-carriers allocation, power allocation in OFDMA with the transmission of the H.264 SVC (Scalable Video Coding) encoded video sequences in order to support more user and provide better quality of service (Qos) to the subscribers. Firstly we compute the maximum number of users the system can support by our proposed CAC (call admission control), and then our proposed adaptive resource allocation algorithm is utilized to allocate resource to these users On the premise of meeting the most basic requirements of all the users, our proposed scheme can select appropriate resolution adaptively for users according to the channel information. Experimental results demonstrate that our scheme performs better than systems with a fixed resource allocation strategy.
In Internet of Things (IoT), the similar functional services are evolving in different quality of services (QoS) due to the widespread deployment of spatially distributed things on dynamic networks through the web. Th...
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