As a new direction in network security,the survivability of information systems is different from traditional network security.This paper presents a service self-organization method based on connection handoff.According to service processing flow,the system is divided into communication,service distribution,and service supply modules.Backup modules survivability information is send to online modules and gets the list of newest service states.When the survivability of a module is highest,the self-organization strategies are implemented using multi-handoff technology.The system possesses the merits such as transparency to users,flexibility and operability of the configuration.Experiments confirm that this method can enhance the quality of service and improve service survivability.
As community detection having been a hot issue in recent years, firstly the correlate clustering technologies based on local information are studied and summarized. Secondly, the label propagation algorithm that is short for LPA is researched and analyzed in depth. Finally, for the random strategy of LPA results that the network partition is always not optimal, we introduces the concept of the similarity of nodes' attributes, and proposes label propagation algorithm on the basis of the similarity of nodes' attributes called LPA-SNA for short.
Existing algorithms for canonical correlation analysis(CCA) of multidimensional data streams are mostly based on approximate techniques,but are not the precise algorithms for updates in essence.In this study,a novel canonical correlation analysis algorithm,called TCCA(Tracking CCA),is proposed for tracking the correlations rapidly and accurately between two multidimensional data streams in the time-varying environments.By introducing the technique of rank two modifications to update the eigen-subspace of the sample covariance matrix in parallel,TCCA can rapidly track the correlations of data streams.Theoretical analysis and experimental results indicate that the TCCA algorithm has better stability,high computational efficiency and accuracy.It could be presented as a basic tool for correlation detection on data streams,feature fusion,dimension reduction and other areas of data streams mining.
Selective ensemble classifiers can improve classification accuracy rate of data set.But for a specific data classification,the classifiers contained by ensemble can not be the best combination.Proceed from adaptation of data,two-phase selective ensemble of data streams is presented.According to location of data in the eigenspace,individual classifier is selected to classify this data.Theories and empirical analyses indicate this algorithm has more classification accuracy rate,in contrast with GASEN algorithm.
Chance discovery is a new research field of artificial intelligence and decision making.A new multi-scan implement model based on studying KeyGraph is proposed.The material calculation is realized by using the matrix decomposition.This method effectively enhances the efficiency of the algorithm,decreases the quantity of computing data and reduces the time and space complexity.
With the development of information technology,privacy leakage becomes a serious problem,therefore,it is in urgent need to prevent personal privacy disclosure in data publishing.For this reason,many researchers have proposed different ways to achieve data publishing of privacy protection.To sum up the previous work,we introduced research significance of privacy protection data release technology and its development process,described background attack model and privacy model during the study in this field,deeply analysed existing generalization / suppression method and clustering method to achieve anonymity data release,summarized information metrics of related anonymous dada quality,also discussed incremental data release method caused by data update as well as high-dimensional data and mobile data release,finally,looked further research trends in this field.
In order to increase the prediction accuracy of protein folding,a prediction strategy of combining the improved simulated annealing algorithm and the sequential quadratic programming is brought forward.In this strategy,the sequential quadratic programming is introduced into the simulated annealing algorithm with tempering annealing function,and its local optimization capacity is used to optimize the optimal result gained by the simulated annealing algorithm once more,then the global optimization can be achieved.Simulation results show that the proposed method can effectively improve the prediction accuracy of protein folding by comparison with other methods.
Based on the qualitative analysis of the faults on the Pinghu slope of Xihu Sag,we conducted the semi-quantitative study of their sealing capacity in this paper.According to the lateral and vertical framework of the faults,the fault system in the Pinghu slope can be divided into four fault zones,i. e.theKsynthetic fault zone,Wantithetic fault zone,Psynthetic fault zone andNgrabentype fault zone from north to south.Results showed that the fault sealing capacity was higher in the middle part of the slope rather than in the south and north parts.The sealing capacity of mostK synthetic fault zone andWantithetic fault zone was high.However,due to the long-term activity of the main Pinghu fault,the fault sealing capacity became ordinary as a whole.As the result of the weak compressive inversion of the Longjing movement by the end of Miocene,the sealing capacity of thePsynthetic fault zone was fine.But the fault sealing capacity of theNgraben-type fault zone was low,due to the long-term activity of the main Pinghu fault and the occurrence of the faults in subsidence period.
The East China Sea Shelf Basin lies in the southeast margin of the Eurasian Plate. It is characterized by the feature of east-west zonation and north-south blocking. The east belt of the depression includes the Fujiang Sag, Diaobei Sag and Xihu Sag. This paper selected 11 balanced cross-sections from the Xihu Sag and 2 from the Diaobei Sag. The extensional and compressive ratios of the Xihu and Diaobei sags in Cenozoic were calculated by using the technique of balanced cross-sections. The results showed that both the Xihu and Diaobei Sags were in a stretched state in T50-T34. However, they were different in other stages, for instance, the Xihu Sag was in a compressed state in T34-T12, while the Diaobei Sag in a compressed state in T34-T30 and in a stretched state in T30-T12. Both of them started subsiding since T12. The Xihu Sag had remained in compress since middle Eocene. The three tectonic movements: Yuquan (T30), Huagang (T20) and Longjing (T12), intensified the compression. Together with the history of basin filling, the Diaobei Sag could be divided into four evolutionary stages since Eocene: early-middle Eocene graben-type rifting, late Eocene and Oligocene depression, early-middle Miocene rifting and subsidence since late Miocene. Similarly, The Xihu Sag has also experienced four stages of evolution since Paleocene: Paleocene and early-middle Eocene rifting, late Eocene and Oligocene depression, early-middle Miocene reversion and subsidence since late Miocene. The Xihu and Diaobei sags are very different in terms of tectonic evolution that is the reason of the north-south zonation in the East China Sea Shelf Basin.
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