Mixel decomposition of remote sensing images is one of valid assistance means for improving quality of feature extraction from the images. Some problems exist in normal linear mixels decomposition, for example, regist...
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This paper proposes an agent-based data access mechanism of mobile device. In the mechanism, mobile device use agents to manage local database and connect to remote agent. Remote agent receives data and query remote d...
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This paper proposes an agent-based data access mechanism of mobile device. In the mechanism, mobile device use agents to manage local database and connect to remote agent. Remote agent receives data and query remote database. The local database is designed using partial detailed concept. The partial detailed database can store different details of content for query to avoid unnecessary connection to reduce local memory space, data flow, and energy. The performance evaluation is conducted to demonstrate the effectiveness of the remote data access. An implementation of proposed mechanism also shows that the mechanism is suitable for the mobile computing environment.
In this paper to further enhance the measuring precision of vibration signal in the process of rotary machine fault diagnosis, a new data fusion method is presented on the basis of correlation function to determine th...
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In this paper, a hybrid good point set-evolutionary strategy is applied to solve the problem of tuning both network structure and parameters of a feedforward neural network. PSO frame can make the resulting evolutiona...
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ISBN:
(纸本)9781424445424
In this paper, a hybrid good point set-evolutionary strategy is applied to solve the problem of tuning both network structure and parameters of a feedforward neural network. PSO frame can make the resulting evolutionary algorithm more robust and statically sound, especially for global optimization. Good Point Set can make the local search achieve the same sound results just as the state-of-the-art methods do, such as orthogonal method. But the precision of the algorithm is not confined by the dimension of the space. An integrated mechanism is used to enrich the exploration and exploitation abilities of the approach *** presented approach is effectively applied to solve the examples on forecasting the sunspot numbers.
Recently, there has been a bursting demand to corporate multimedia content delivery over the Wireless Multimedia Sensor Networks (WMSNs). This feature could not only enhance several existing applications in the commer...
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The Video Transmission over the multi-path fading wireless channel has to overcome the inherent vulnerability of compressed video to the channel errors. To effectively prevent the corruption of video stream and error ...
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Spyware is a rapidly spreading security issue. Traditional spyware detection can mainly be classified into two categories: signature based detection and behavior based detection. The former is not able to detect unkno...
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Spyware is a rapidly spreading security issue. Traditional spyware detection can mainly be classified into two categories: signature based detection and behavior based detection. The former is not able to detect unknown spyware and variants of known spyware. The latter fails when spyware attempts to blend in with legitimate behavior. This paper presents a novel spyware detection technique which is based on an abstract characterization of the interests of spyware programs. For sensitive and critical data, we monitor two kinds of actions which are general behaviors for spyware, copy-and-paste and transmission, performed by every program. Then with backward cloud generator we get the interests of every program. If the interests of one program are just the sensitive and critical data, we can tell the program is the spyware program. The experiment verifies the feasibility of our method.
A de-noising method using wavelet transform and morphology for low light level image is presented. The intensity of noise field is different from the intensity of normal image region, which has reduce the quality of v...
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A de-noising method using wavelet transform and morphology for low light level image is presented. The intensity of noise field is different from the intensity of normal image region, which has reduce the quality of vision and after works of image processing such as segmentation, feature extraction and identification. Since there are a number of noises in low light level image, this paper did some research of finding the source of noise that constitute the main problems and contrasted the existing noise reduction techniques, and then the method proposed makes the best of the multi-resolution characteristic of wavelet transform to process the specific part of image. Experiment indicates that this method can resolve noise reduction problem of reserving image detail and is effective on noise reduction and contrast enhancement in low light level image.
The importance of digital signature in internet transaction security is expatiated, and the correlative technique of digital signature is introduced. The defaults of the technique of digital signature based on public ...
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Fatigue cracking in concealment of large-scale overloaded supporting shaft often causes accident, breaks product line, and results in high loss for enterprises due to the unobserved and random characteristics. A novel...
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Fatigue cracking in concealment of large-scale overloaded supporting shaft often causes accident, breaks product line, and results in high loss for enterprises due to the unobserved and random characteristics. A novel approach is proposed to detect the fatigue cracking based on time series and fuzzy clustering. The vibration signal with structural state information can be collected from its pedestal position through analyzing the features of such fatigue cracking. The AR diagnosis model is established by using the time series method based on MATLAB procedure. The model parameters with integrated failure information are taken as feature values to form standard failure mode feature vectors space. The fuzzy clustering theory is applied to achieve the failure pattern recognition, and combined with the Euclidean distance discriminant function to match the candidate vector with maximal subjection degree among the standard vector space. Thus, the fatigue cracking of measuring supporting shaft can be diagnosed. In the end, the result of an example demonstrates that the proposed approach is effective and easy to implement.
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