Earticle

We investigate the problem of achieving utility function optimization for distributed channel selection using game theoretic solutions in opportunistic spectrum access system, where secondary users are spatially located and mutual interference only emerges between neighboring users. In addition, interference graph of spatial position is introduced to measure interference and evaluate the possible opportunities of spectrum access. Based on this we propose an optimization problem of minimizing loss throughput, which is solved by a game theory and an optimal channel selection set is derived. The main work of this paper is to prove that this game is an exact potential game, which has at least one pure strategy Nash equilibrium. Finally simulation results is given to verify the correctness of the theoretical analysis. Especially meanwhile after considering spatial reuse by users’ position, the system throughput is significantly increased, thus the spectrum utilization rate is effectively improved.

IVEF is the protocol designed for the exchange of marine transportation information between the vessel traffic control systems and between the vessels. Standardization of the IVEF service is under way as a part of the next-generation marine navigation system called e-Navigation. This paper suggests an IVEF protocol based on the XmlPullParser, which supports faster processing speed and requires less memory than the existing SAX parser. It also suggests a server/client system which simulates the V-145 protocol in the wireless environment. Android-based smart phones were used to emulate the vessels, and Windows 7-based desktops were used to emulate the VTS (Vessel Traffic Service) service center.

The paper presents the results of an assessment with a range as real AE signals are received at destruction of spot welding, and imitated by means of a AE transducer are given in work, efficiency use of high-frequency area for recognition of AE signals against hindrances is shown. The actuator is excited by an impulse signal instead of a sinewave, and the responses are measured with the PE sensors. The spectral characteristics of AE signals should use broadband transducers with the rise in the PE side of the treble to compensate for PE of the sample, and partly of the signal spectrum, which is reduced the measurement error of the absolute values. The damage could be indicated in an experiment, but it turned out that the sensitivity is low if the damage is not in the path between actuator and sensor. When a machine has a mistake, it leads to energy loss and results in the transformation of sound, heat and the whole performance. The basis of most condition monitoring techniques WT has been constructed by the various features.

In this paper, a compromised method is presented for the interlaced signals. The interlaced signals are vertically reconstructed by interpolation method. The efficient edge directed line average method is the advanced version of edge directed line average method, which uses two more useful metrics to assess edge direction. On the other hand, Bob method does not consider edge direction, rather its results are the average results of upper and lower lines. We used information entropy to give weights. Considered two methods were efficient edge directed line average and Bob methods, and we obtain compromised approach. Experimental results show that the presented method provides satisfactory results.

The music is an art which reflects the reality emotion for the human. The music has a great influence on the life of the college students. According to listening to the music, the college students can obtain the perceived value. In this paper, we apply the regression analysis method to study whether the perceived value that the college students obtain by listening music can influence the music preference. According to investigating the college students in different backgrounds, we establish various hypotheses. Then we test these hypotheses by the data analysis and SPSS to achieve our purpose. Through the research results, we can guide better the college students to form the correct outlook of life and the values. This paper can also provide an effective reference for the subsequent researches. It has a certain theoretical value and practical significance.

The Audio switcher is high performance intelligent matrix switch equipment which is specially designed for the broadcasting of the audio signal. It is widely used in speech engineering, audio-visual teaching, and command and control center, multi-media conference room and so on and used for switching audio signal. Most of the existing audio switcher support serial control protocol and it can be controlled by the third party software. In this paper, a directive programmable audio switcher intelligent control system was realized. Any kind of audio switcher which supports serial communication protocol can be controlled by this system without any software changing. The only thing to be needed is to change the programmable command list.

Feature based image Steganalysis demands the best feature model for accurate steganalysis. The extracted feature model includes the components in DCT features of JPEG image. Existing research in this field show extraction of different types of image features that show slightly improved classification accuracies. Though few recent methods of image steganalysis involve extracting all possible features of the image, they suffer dimensionality problem. The dataset used in our research include raw images from the BOSS database. The original dimension of the feature set extracted has 8726 features from 2000 images. While a larger feature set is expected to have all important information about the steganographic changes, it affects the classifier accuracy due to redundancy. To overcome the curse of dimensionality, we intend to introduce an unsupervised optimization technique before classification. The individual classifiers implemented are SVM and MLP and the fusion techniques implemented to combine these classifiers are Bayes, Dempster Schafer and Decision Template schemes. The performances of classifiers are analyzed for optimization based on Euclidean distance measure and Mahalanobis distance measure. Comparing individual classifiers, it has been found that SVM classifier outperforms MLP classifier for both Euclidean distance measure and Mahalanobis distance measure. Among the fusion schemes, the accuracy of Bayes fusion scheme proves to be best compared to Decision template and Dempster Schafer schemes. Also, the best possible classification accuracy has been obtained for Euclidean distance based optimization followed by Bayes fusion classifier scheme. The classification accuracies obtained in our research are better compared to existing methods.

Based on in-depth analyzing the calculation of web pages relevance to the topic and prediction algorithm. A focus crawler which is based on thesaurus classification is proposed, the algorithm pre-judgment the relevance to the topic through the analysis of page title, the pages which have high priority to the topic are first crawled, and the precision rate is improved. Experiment results show that the precision rate by the crawler which is based on thesaurus classification is improved, and the web pages which are relative to topic is good determined

Track and field training is a practical and highly participatory training and learning of bilateral activities, less network resources compared to other disciplines, and the lack of systematic and complete. So in this context, relying more mature college campus network, based on Internet technology, computer technology, multimedia technology, modern communication technology, design and development of an oriented the track and field network training platform is very necessary. Based on computer network technology, multimedia technology and modern communications technology, this paper designs and develops interactive network training platform for the college track and field training and track and Field daily management.