In recent years,the in silico epitopes prediction tools have facilitated the progress of vaccines development significantly and many have been applied to predict epitopes in viruses successfully. Herein,a general over...In recent years,the in silico epitopes prediction tools have facilitated the progress of vaccines development significantly and many have been applied to predict epitopes in viruses successfully. Herein,a general overview of different tools currently available,including T cell and B cell epitopes prediction tools,is presented. And the principles of different prediction algorithms are reviewed briefly. Finally,several examples are present to illustrate the application of the prediction tools.展开更多
Admission control plays an important role in providing QoS to network users. Motivated by the measurement-based admission control algorithm, this letter proposed a new admission control approach for integrated service...Admission control plays an important role in providing QoS to network users. Motivated by the measurement-based admission control algorithm, this letter proposed a new admission control approach for integrated service packet network based on traffic prediction. In the letter, FARIMA(p, d, q) models in the admission control algorithm is deployed. A method to simplify the FARIMA model fitting procedure and hence to reduce the time of traffic modeling and prediction is suggested. The feasibility-study experiments show that FARIMA models which have less number of parameters can be used to model and predict actual traffic on quite a large time scale. Simulation results validate the promising approach.展开更多
With the development of large numbers broadband Internet access,global satellite communications is moving towards High Throughput Satellites(HTS).Now,USA,Canada,Europe,Thailand,Japan,United Arab Emirates,Australia hav...With the development of large numbers broadband Internet access,global satellite communications is moving towards High Throughput Satellites(HTS).Now,USA,Canada,Europe,Thailand,Japan,United Arab Emirates,Australia have already developed HTS systems.However,there is little research to analyze the factors influencing high throughput.Thus,from the design perspective,the throughput of HTS and influencing factors are calculated and compared at a system level.Finally,the application of HTS is analyzed and forecasted.展开更多
In order to improve the precision of personal credit risk assessment, applying rough set and neural network to the credit risk scoring prediction problem in an attempt to suggest a new model with better classification...In order to improve the precision of personal credit risk assessment, applying rough set and neural network to the credit risk scoring prediction problem in an attempt to suggest a new model with better classification accuracy. To evaluate the prediction accuracy of the model, we compare its performance with those of SVM, linear discriminate analysis, logistic regression analysis, K-nearest neighbors, classification and regression tree, neural network and PCA-NN. The experimental results show the model have a very good prediction accuracy展开更多
基金The National Natural Science Foundations of China (30870131)the National Key Projects in the Infectious Fields (2008ZX10002-011, 2008ZX10004-004)
文摘In recent years,the in silico epitopes prediction tools have facilitated the progress of vaccines development significantly and many have been applied to predict epitopes in viruses successfully. Herein,a general overview of different tools currently available,including T cell and B cell epitopes prediction tools,is presented. And the principles of different prediction algorithms are reviewed briefly. Finally,several examples are present to illustrate the application of the prediction tools.
基金Supported in part by the National Natural Science Foundation of China under grant No.69872025,the Information Office of Tianjin Municipal Government and a Gift from Cisco System
文摘Admission control plays an important role in providing QoS to network users. Motivated by the measurement-based admission control algorithm, this letter proposed a new admission control approach for integrated service packet network based on traffic prediction. In the letter, FARIMA(p, d, q) models in the admission control algorithm is deployed. A method to simplify the FARIMA model fitting procedure and hence to reduce the time of traffic modeling and prediction is suggested. The feasibility-study experiments show that FARIMA models which have less number of parameters can be used to model and predict actual traffic on quite a large time scale. Simulation results validate the promising approach.
文摘With the development of large numbers broadband Internet access,global satellite communications is moving towards High Throughput Satellites(HTS).Now,USA,Canada,Europe,Thailand,Japan,United Arab Emirates,Australia have already developed HTS systems.However,there is little research to analyze the factors influencing high throughput.Thus,from the design perspective,the throughput of HTS and influencing factors are calculated and compared at a system level.Finally,the application of HTS is analyzed and forecasted.
文摘In order to improve the precision of personal credit risk assessment, applying rough set and neural network to the credit risk scoring prediction problem in an attempt to suggest a new model with better classification accuracy. To evaluate the prediction accuracy of the model, we compare its performance with those of SVM, linear discriminate analysis, logistic regression analysis, K-nearest neighbors, classification and regression tree, neural network and PCA-NN. The experimental results show the model have a very good prediction accuracy
