Characteristics of the Internet traffic data flow are studied based on the chaos theory. A phase space that is isometric with the network dynamic system is reconstructed by using the single variable time series of a n...Characteristics of the Internet traffic data flow are studied based on the chaos theory. A phase space that is isometric with the network dynamic system is reconstructed by using the single variable time series of a network flow. Some parameters, such as the correlative dimension and the Lyapunov exponent are calculated, and the chaos characteristic is proved to exist in Internet traffic data flows. A neural network model is construct- ed based on radial basis function （RBF） to forecast actual Internet traffic data flow. Simulation results show that, compared with other forecasts of the forward-feedback neural network, the forecast of the RBF neural network based on the chaos theory has faster learning capacity and higher forecasting accuracy.展开更多
To improve question answering （QA） performance based on real-world web data sets,a new set of question classes and a general answer re-ranking model are defined.With pre-defined dictionary and grammatical analysis,t...To improve question answering （QA） performance based on real-world web data sets,a new set of question classes and a general answer re-ranking model are defined.With pre-defined dictionary and grammatical analysis,the question classifier draws both semantic and grammatical information into information retrieval and machine learning methods in the form of various training features,including the question word,the main verb of the question,the dependency structure,the position of the main auxiliary verb,the main noun of the question,the top hypernym of the main noun,etc.Then the QA query results are re-ranked by question class information.Experiments show that the questions in real-world web data sets can be accurately classified by the classifier,and the QA results after re-ranking can be obviously improved.It is proved that with both semantic and grammatical information,applications such as QA, built upon real-world web data sets, can be improved,thus showing better performance.展开更多
Application of data fusion technique in intrusion detection is the trend of next- generation Intrusion Detection System (IDS). In network security, adopting security early warn- ing technique is feasible to effectivel...Application of data fusion technique in intrusion detection is the trend of next- generation Intrusion Detection System (IDS). In network security, adopting security early warn- ing technique is feasible to effectively defend against attacks and attackers. To do this, correlative information provided by IDS must be gathered and the current intrusion characteristics and sit- uation must be analyzed and estimated. This paper applies D-S evidence theory to distributed intrusion detection system for fusing information from detection centers, making clear intrusion situation, and improving the early warning capability and detection efficiency of the IDS accord- ingly.展开更多
In this paper, we first consider the position restriction scheduling problems on a single machine. The problems have been solved in certain special cases, especially for those obtained by restricting the processing ti...In this paper, we first consider the position restriction scheduling problems on a single machine. The problems have been solved in certain special cases, especially for those obtained by restricting the processing time pj = 1. We introduce the bipartite matching algorithm to provide some polynomial-time algorithms to solve them. Then we further consider a problem on unrelated processors.展开更多
This paper analyzes current status of teachers＇ speaking test, applies presently mature C/S system structure and oilers a network way for teachers＇ speaking exam. We provide the whole process of design and developme...This paper analyzes current status of teachers＇ speaking test, applies presently mature C/S system structure and oilers a network way for teachers＇ speaking exam. We provide the whole process of design and development in online speaking exam, illustrate several functional designs including item bank construction, auto-generating examination paper and test paper analysis and discuss various network programming development technology during teachers＇ speaking network examination intensively. Directed by software engineering theory, the system is finally designed and realized through feasible research, requirement analysis, general design, detailed design, and tests with popular system development language and powerful database management.展开更多
OBJECTIVE： To assess the clinical effectiveness and safety of injections of ginkgo （GI） combined with Western Medicine （WM） for cerebral infarction （C/）. METHODS; Randomized controlled trials （RCTs） of C/trea...OBJECTIVE： To assess the clinical effectiveness and safety of injections of ginkgo （GI） combined with Western Medicine （WM） for cerebral infarction （C/）. METHODS; Randomized controlled trials （RCTs） of C/treated by GI were searched in China National Knowledge Infrastructure Database, Wanfang, China Science and Technology Journal Database, Web of Science, Cochrane library, Embase, PubMed and Chinese Biomedical Literature Database, with the publication data no later than April, 2016. The Co- chrane risk of bias method was used to evaluate the methodological quality of the RCTs. The data were analyzed by Review Manager 5.3, Stata 13.0, and WinBUGS 14 software.RESULTS： Totally 37 RCTs involving 4330 patients were included. By direct comparison, the results of GI group were significantly superior to the routine WM group in the total effective rates [OR = 3.61, 95% CI （2.93, 4.44）, P 〈 0.0001], the neural function defect score （NFDS） [MD = - 4.39, 95% CI （- 5.47, - 3.32）, P 〈 0.0001]. Network Meta-analysis （NMA） results showed that, between S GIs in efficacy, the difference comparing ginaton injections （GbE） to ginkgo-dipyidamolum injections （GD） [OR = 1.74, 95% CI （0.73, 3.65）], shuxuening injections （SXN） [OR = 1.06, 95% CI （0.609, 1.697）] or ginkgolides in- jections （GK） [OR = 4.711, 95% CI （1.178, 13.21）] reach statistical significance; the difference compar- ing GD to GK reach statistical significance [OR = 2.791, 95% CI （0.866, 6.908）]; the difference com- paring SXN to GK reach statistical significance [OR = 4.537, 95% CI （1.203, 12.41）]. Besides, there was no difference between 4 GIs in NFDS. Proba- bility ranking result showed a great possibility for GK [Surface under the Cumulative Ranking curve （SUCRA） = 80.3%] in improving the total effective rates, which were followed by GD （SUCRA = 73.34%）, SXN （SUCRA = 46.59%）, GbE （SUCRA = 45.46%）, floium ginkgo extract and tertram ethy- pyrazine sodium chloride injections （FT） （SU- CRA = 35.64%）. However, GK （SUCRA = 80.3%） or GbE （SUCRA = 69.4%） was better than other GIs in reducing NFDS.GK ＋ WM is the best treatment measures to reduce NFDS in cerebral infarction, which were followed by SXN ＋ WM （SUCRA = 51.6%）, GD ＋ WM （SUCRA = 48.1%）. CONCLUSION： GIs was more effectiveness on CI than the routine Western Medicine. But based on the limitations of the study, more high-quality ran- domized controlled trials will be necessary.展开更多
Accurate prediction of wind power is significant for power system dispatching as well as safe and stable operation. By means of BP neural network, radial basis function neural network and support vector machine, a new...Accurate prediction of wind power is significant for power system dispatching as well as safe and stable operation. By means of BP neural network, radial basis function neural network and support vector machine, a new combined method of wind power prediction based on cooperative game theory is proposed. In the method, every single forecasting model is regarded as a member of the cooperative games, and the sum of square error of combination forecasting is taken as the result of cooperation. The result is divided among the members according to Shapley values, and then weights of combination forecasting can be obtained. Application results in an actual wind farm show that the proposed method can effectively improve prediction precision.展开更多
文摘Characteristics of the Internet traffic data flow are studied based on the chaos theory. A phase space that is isometric with the network dynamic system is reconstructed by using the single variable time series of a network flow. Some parameters, such as the correlative dimension and the Lyapunov exponent are calculated, and the chaos characteristic is proved to exist in Internet traffic data flows. A neural network model is construct- ed based on radial basis function （RBF） to forecast actual Internet traffic data flow. Simulation results show that, compared with other forecasts of the forward-feedback neural network, the forecast of the RBF neural network based on the chaos theory has faster learning capacity and higher forecasting accuracy.
基金Microsoft Research Asia Internet Services in Academic Research Fund(No.FY07-RES-OPP-116)the Science and Technology Development Program of Tianjin(No.06YFGZGX05900)
文摘To improve question answering （QA） performance based on real-world web data sets,a new set of question classes and a general answer re-ranking model are defined.With pre-defined dictionary and grammatical analysis,the question classifier draws both semantic and grammatical information into information retrieval and machine learning methods in the form of various training features,including the question word,the main verb of the question,the dependency structure,the position of the main auxiliary verb,the main noun of the question,the top hypernym of the main noun,etc.Then the QA query results are re-ranked by question class information.Experiments show that the questions in real-world web data sets can be accurately classified by the classifier,and the QA results after re-ranking can be obviously improved.It is proved that with both semantic and grammatical information,applications such as QA, built upon real-world web data sets, can be improved,thus showing better performance.
文摘Application of data fusion technique in intrusion detection is the trend of next- generation Intrusion Detection System (IDS). In network security, adopting security early warn- ing technique is feasible to effectively defend against attacks and attackers. To do this, correlative information provided by IDS must be gathered and the current intrusion characteristics and sit- uation must be analyzed and estimated. This paper applies D-S evidence theory to distributed intrusion detection system for fusing information from detection centers, making clear intrusion situation, and improving the early warning capability and detection efficiency of the IDS accord- ingly.
文摘In this paper, we first consider the position restriction scheduling problems on a single machine. The problems have been solved in certain special cases, especially for those obtained by restricting the processing time pj = 1. We introduce the bipartite matching algorithm to provide some polynomial-time algorithms to solve them. Then we further consider a problem on unrelated processors.
文摘This paper analyzes current status of teachers＇ speaking test, applies presently mature C/S system structure and oilers a network way for teachers＇ speaking exam. We provide the whole process of design and development in online speaking exam, illustrate several functional designs including item bank construction, auto-generating examination paper and test paper analysis and discuss various network programming development technology during teachers＇ speaking network examination intensively. Directed by software engineering theory, the system is finally designed and realized through feasible research, requirement analysis, general design, detailed design, and tests with popular system development language and powerful database management.
基金Supported by National Natural Science Foundation of China:Study on the Key Influencing Factors of Anaphylaxis in Traditional Chinese Medicine Injection(No.81473547)Multidimensional Clinical Evaluation Model of Salvia Injection for the Treatment of Unstable Angina Pectoris(No.81673829)
文摘OBJECTIVE： To assess the clinical effectiveness and safety of injections of ginkgo （GI） combined with Western Medicine （WM） for cerebral infarction （C/）. METHODS; Randomized controlled trials （RCTs） of C/treated by GI were searched in China National Knowledge Infrastructure Database, Wanfang, China Science and Technology Journal Database, Web of Science, Cochrane library, Embase, PubMed and Chinese Biomedical Literature Database, with the publication data no later than April, 2016. The Co- chrane risk of bias method was used to evaluate the methodological quality of the RCTs. The data were analyzed by Review Manager 5.3, Stata 13.0, and WinBUGS 14 software.RESULTS： Totally 37 RCTs involving 4330 patients were included. By direct comparison, the results of GI group were significantly superior to the routine WM group in the total effective rates [OR = 3.61, 95% CI （2.93, 4.44）, P 〈 0.0001], the neural function defect score （NFDS） [MD = - 4.39, 95% CI （- 5.47, - 3.32）, P 〈 0.0001]. Network Meta-analysis （NMA） results showed that, between S GIs in efficacy, the difference comparing ginaton injections （GbE） to ginkgo-dipyidamolum injections （GD） [OR = 1.74, 95% CI （0.73, 3.65）], shuxuening injections （SXN） [OR = 1.06, 95% CI （0.609, 1.697）] or ginkgolides in- jections （GK） [OR = 4.711, 95% CI （1.178, 13.21）] reach statistical significance; the difference compar- ing GD to GK reach statistical significance [OR = 2.791, 95% CI （0.866, 6.908）]; the difference com- paring SXN to GK reach statistical significance [OR = 4.537, 95% CI （1.203, 12.41）]. Besides, there was no difference between 4 GIs in NFDS. Proba- bility ranking result showed a great possibility for GK [Surface under the Cumulative Ranking curve （SUCRA） = 80.3%] in improving the total effective rates, which were followed by GD （SUCRA = 73.34%）, SXN （SUCRA = 46.59%）, GbE （SUCRA = 45.46%）, floium ginkgo extract and tertram ethy- pyrazine sodium chloride injections （FT） （SU- CRA = 35.64%）. However, GK （SUCRA = 80.3%） or GbE （SUCRA = 69.4%） was better than other GIs in reducing NFDS.GK ＋ WM is the best treatment measures to reduce NFDS in cerebral infarction, which were followed by SXN ＋ WM （SUCRA = 51.6%）, GD ＋ WM （SUCRA = 48.1%）. CONCLUSION： GIs was more effectiveness on CI than the routine Western Medicine. But based on the limitations of the study, more high-quality ran- domized controlled trials will be necessary.
文摘Accurate prediction of wind power is significant for power system dispatching as well as safe and stable operation. By means of BP neural network, radial basis function neural network and support vector machine, a new combined method of wind power prediction based on cooperative game theory is proposed. In the method, every single forecasting model is regarded as a member of the cooperative games, and the sum of square error of combination forecasting is taken as the result of cooperation. The result is divided among the members according to Shapley values, and then weights of combination forecasting can be obtained. Application results in an actual wind farm show that the proposed method can effectively improve prediction precision.
