This paper proposes a method based on Markov Logic Network (MLN) to determine the time order of entity attribute values. We use the characteristics of web sources’ currency, web sources inter-dependency and attribute...This paper proposes a method based on Markov Logic Network (MLN) to determine the time order of entity attribute values. We use the characteristics of web sources’ currency, web sources inter-dependency and attribute data currency in a certain web source as predicates in MLN. We define five rules (new rules can be added) to infer the currency of different values provided by different sources. On one hand, this method considers currency problem based on entity attribute instead of the entire entity, which is critical to improve the qualityof data provided by Web Integration Systems; on the other hand, this method summarizes characteristics of web sources and web data based on carefully analysis. It is noteworthy that it is not complicate for the MLN model to incorporate new rules, which shows that the proposed method is extensible.展开更多
In order to solve the problem the existing vertical handoff algorithms of vehicle heterogeneous wireless network do not consider the diversification of network's status, an optimized vertical handoff algorithm bas...In order to solve the problem the existing vertical handoff algorithms of vehicle heterogeneous wireless network do not consider the diversification of network's status, an optimized vertical handoff algorithm based on markov process is proposed and discussed in this paper. This algorithm takes into account that the status transformation of available network will affect the quality of service(Qo S) of vehicle terminal's communication service. Firstly, Markov process is used to predict the transformation of wireless network's status after the decision via transition probability. Then the weights of evaluating parameters will be determined by fuzzy logic method. Finally, by comparing the total incomes of each wireless network, including handoff decision incomes, handoff execution incomes and communication service incomes after handoff, the optimal network to handoff will be selected. Simulation results show that: the algorithm proposed, compared to the existing algorithm, is able to receive a higher level of load balancing and effectively improves the average blocking rate, packet loss rate and ping-pang effect.展开更多
In the current era of multimedia information,it is increasingly urgent to realize intelligent video action recognition and content analysis.In the past few years,video action recognition,as an important direction in c...In the current era of multimedia information,it is increasingly urgent to realize intelligent video action recognition and content analysis.In the past few years,video action recognition,as an important direction in computer vision,has attracted many researchers and made much progress.First,this paper reviews the latest video action recognition methods based on Deep Neural Network and Markov Logic Network.Second,we analyze the characteristics of each method and the performance from the experiment results.Then compare the emphases of these methods and discuss the application scenarios.Finally,we consider and prospect the development trend and direction of this field.展开更多
文摘This paper proposes a method based on Markov Logic Network (MLN) to determine the time order of entity attribute values. We use the characteristics of web sources’ currency, web sources inter-dependency and attribute data currency in a certain web source as predicates in MLN. We define five rules (new rules can be added) to infer the currency of different values provided by different sources. On one hand, this method considers currency problem based on entity attribute instead of the entire entity, which is critical to improve the qualityof data provided by Web Integration Systems; on the other hand, this method summarizes characteristics of web sources and web data based on carefully analysis. It is noteworthy that it is not complicate for the MLN model to incorporate new rules, which shows that the proposed method is extensible.
基金supported in part by the National Natural Science Foundation of China under grant No. 61271259, No. 61301123, No. 61471076Scientific and Technological Research Program of Chongqing Municipal Education Commission of Chongqing of China under Grant No.KJ130536
文摘In order to solve the problem the existing vertical handoff algorithms of vehicle heterogeneous wireless network do not consider the diversification of network's status, an optimized vertical handoff algorithm based on markov process is proposed and discussed in this paper. This algorithm takes into account that the status transformation of available network will affect the quality of service(Qo S) of vehicle terminal's communication service. Firstly, Markov process is used to predict the transformation of wireless network's status after the decision via transition probability. Then the weights of evaluating parameters will be determined by fuzzy logic method. Finally, by comparing the total incomes of each wireless network, including handoff decision incomes, handoff execution incomes and communication service incomes after handoff, the optimal network to handoff will be selected. Simulation results show that: the algorithm proposed, compared to the existing algorithm, is able to receive a higher level of load balancing and effectively improves the average blocking rate, packet loss rate and ping-pang effect.
基金This work was supported in part by National Science Foundation Project of P.R.China(Grant Nos.61503424,61331013)。
文摘In the current era of multimedia information,it is increasingly urgent to realize intelligent video action recognition and content analysis.In the past few years,video action recognition,as an important direction in computer vision,has attracted many researchers and made much progress.First,this paper reviews the latest video action recognition methods based on Deep Neural Network and Markov Logic Network.Second,we analyze the characteristics of each method and the performance from the experiment results.Then compare the emphases of these methods and discuss the application scenarios.Finally,we consider and prospect the development trend and direction of this field.
