A 3-D topology architeeture based on Spidergon and its generation method are proposed. Aiming at establishing relationships between the topology architecture and the latency, the 3-D topology latency model based on pr...A 3-D topology architeeture based on Spidergon and its generation method are proposed. Aiming at establishing relationships between the topology architecture and the latency, the 3-D topology latency model based on prototype is proposed, and then the optimization topology structure with minimum latency is determined based on it. Meanwhile, in accordance with the structure, the adaptive routing algorithm is designed. The algorithm sets longitudinal direction priority to adaptively searching the equivalent minimum path between the source nodes and the destination nodes in order to increase network throughput. Simulation shows that in case of approximate saturation network, compared with the same scale 3-D mesh structure, 3-D Spidergon has 17% less latency and 16.7% more network throughput.展开更多
Customer loyalty of B2C e-commerce is studied by testing the hypotheses on five latent variables using the structural equation modeling method. After correcting model, online store image is obviously fundamental basis...Customer loyalty of B2C e-commerce is studied by testing the hypotheses on five latent variables using the structural equation modeling method. After correcting model, online store image is obviously fundamental basis on expectations of shopping online, experience of shopping online, customer satisfaction and customer loyalty between which there are seven positive relationships accepted in the AMOS model. The results provide scientific evidence for B2C e-commerce.展开更多
It is illegal to spread and transmit pornographic images over internet,either in real or in artificial format.The traditional methods are designed to identify real pornographic images and they are less efficient in de...It is illegal to spread and transmit pornographic images over internet,either in real or in artificial format.The traditional methods are designed to identify real pornographic images and they are less efficient in dealing with artificial images.Therefore,criminals turn to release artificial pornographic images in some specific scenes,e.g.,in social networks.To efficiently identify artificial pornographic images,a novel bag-of-visual-words based approach is proposed in the work.In the bag-of-words(Bo W)framework,speeded-up robust feature(SURF)is adopted for feature extraction at first,then a visual vocabulary is constructed through K-means clustering and images are represented by an improved Bo W encoding method,and finally the visual words are fed into a learning machine for training and classification.Different from the traditional BoW method,the proposed method sets a weight on each visual word according to the number of features that each cluster contains.Moreover,a non-binary encoding method and cross-matching strategy are utilized to improve the discriminative power of the visual words.Experimental results indicate that the proposed method outperforms the traditional method.展开更多
Based on the analysis of the feature of cognitive radio networks, a relevant interference model was built. Cognitive users should consider especially the problem of interference with licensed users and satisfy the sig...Based on the analysis of the feature of cognitive radio networks, a relevant interference model was built. Cognitive users should consider especially the problem of interference with licensed users and satisfy the signal-to-interference noise ratio （SINR） requirement at the same time. According to different power thresholds, an approach was given to solve the problem of coexistence between licensed user and cognitive user in cognitive system. Then, an uplink distributed power control algorithm based on traditional iterative model was proposed. Convergence analysis of the algorithm in case of feasible systems was provided. Simulations show that this method can provide substantial power savings as compared with the power balancing algorithm while reducing the achieved SINR only slightly, since 6% S1NR loss can bring 23% power gain. Through further simulations, it can be concluded that the proposed solution has better effect as the noise power or system load increases.展开更多
In this paper,we propose a systemic architecture of network selection based on context-awareness services,which gathers contextual information that includes such network information,user information and local informat...In this paper,we propose a systemic architecture of network selection based on context-awareness services,which gathers contextual information that includes such network information,user information and local information.This network selection strategy considers the Quality of Service(QoS) and user preferences.Also,it perceives contexts such as speed,coverage percentage and location,etc.,and it eventually performs network selection decision making and network execution based on multiple factors.From the perspective of network decision,it presents two network selection algorithms,namely the fuzzy mathematics evaluation method and multiple attribute decision making using the TOPSIS evaluation method.System simulations suggest that network selection based on the mathematics evaluation method is much faster than the TOPSIS evaluation method.However,the TOPSIS evaluation method is practically more efficient.The network selection method based on context-awareness provides an effective and flexible network vertical handover strategy,and ensures a good accuracy and efficiency.展开更多
In this paper, transmission power control problem for uplink LTE network is investigated and a new autonomic uplink power control scheme was proposed based on utility function, which is a self- organized algorithm. Th...In this paper, transmission power control problem for uplink LTE network is investigated and a new autonomic uplink power control scheme was proposed based on utility function, which is a self- organized algorithm. The whole approach is based on the economic concept named utility function. Then a self-organized algorithm is distributed in each mobile users to control the transmission power and to maximize the transmission utility. The proposed scheme is solved through the Lagrange multiplier technique. It is proved that the utility function based algorithm optimal power level can be model. is applicable and the achieved based on our展开更多
Four executives of Chinese video-sharing site Qvod Technology Co.Ltd.stood trial at the Haidian District People’s Court in Beijing on January 7-8 on charges of profiting from spreading pornographic content online.
基金Supported by the National Nature Science Foundation of China(61076019)the Aviation Science Foundation(20115552031)the Science and Technology Support Program of Jiangsu Province(BE2010003)~~
文摘A 3-D topology architeeture based on Spidergon and its generation method are proposed. Aiming at establishing relationships between the topology architecture and the latency, the 3-D topology latency model based on prototype is proposed, and then the optimization topology structure with minimum latency is determined based on it. Meanwhile, in accordance with the structure, the adaptive routing algorithm is designed. The algorithm sets longitudinal direction priority to adaptively searching the equivalent minimum path between the source nodes and the destination nodes in order to increase network throughput. Simulation shows that in case of approximate saturation network, compared with the same scale 3-D mesh structure, 3-D Spidergon has 17% less latency and 16.7% more network throughput.
文摘Customer loyalty of B2C e-commerce is studied by testing the hypotheses on five latent variables using the structural equation modeling method. After correcting model, online store image is obviously fundamental basis on expectations of shopping online, experience of shopping online, customer satisfaction and customer loyalty between which there are seven positive relationships accepted in the AMOS model. The results provide scientific evidence for B2C e-commerce.
基金Projects(41001260,61173122,61573380) supported by the National Natural Science Foundation of ChinaProject(11JJ5044) supported by the Hunan Provincial Natural Science Foundation of China
文摘It is illegal to spread and transmit pornographic images over internet,either in real or in artificial format.The traditional methods are designed to identify real pornographic images and they are less efficient in dealing with artificial images.Therefore,criminals turn to release artificial pornographic images in some specific scenes,e.g.,in social networks.To efficiently identify artificial pornographic images,a novel bag-of-visual-words based approach is proposed in the work.In the bag-of-words(Bo W)framework,speeded-up robust feature(SURF)is adopted for feature extraction at first,then a visual vocabulary is constructed through K-means clustering and images are represented by an improved Bo W encoding method,and finally the visual words are fed into a learning machine for training and classification.Different from the traditional BoW method,the proposed method sets a weight on each visual word according to the number of features that each cluster contains.Moreover,a non-binary encoding method and cross-matching strategy are utilized to improve the discriminative power of the visual words.Experimental results indicate that the proposed method outperforms the traditional method.
基金Project(61071104) supported by the National Natural Science Foundation of China
文摘Based on the analysis of the feature of cognitive radio networks, a relevant interference model was built. Cognitive users should consider especially the problem of interference with licensed users and satisfy the signal-to-interference noise ratio （SINR） requirement at the same time. According to different power thresholds, an approach was given to solve the problem of coexistence between licensed user and cognitive user in cognitive system. Then, an uplink distributed power control algorithm based on traditional iterative model was proposed. Convergence analysis of the algorithm in case of feasible systems was provided. Simulations show that this method can provide substantial power savings as compared with the power balancing algorithm while reducing the achieved SINR only slightly, since 6% S1NR loss can bring 23% power gain. Through further simulations, it can be concluded that the proposed solution has better effect as the noise power or system load increases.
基金supported by the National Basic Research Program of China(973 Program)under Grant No.2012CB315805supported by the National Natural Science Foundation of China under Grants No.71172135,No.71231002,No.71201011,No.71271099the Ministry of Education of the People's Republic of China under Grant No.20120005120001
文摘In this paper,we propose a systemic architecture of network selection based on context-awareness services,which gathers contextual information that includes such network information,user information and local information.This network selection strategy considers the Quality of Service(QoS) and user preferences.Also,it perceives contexts such as speed,coverage percentage and location,etc.,and it eventually performs network selection decision making and network execution based on multiple factors.From the perspective of network decision,it presents two network selection algorithms,namely the fuzzy mathematics evaluation method and multiple attribute decision making using the TOPSIS evaluation method.System simulations suggest that network selection based on the mathematics evaluation method is much faster than the TOPSIS evaluation method.However,the TOPSIS evaluation method is practically more efficient.The network selection method based on context-awareness provides an effective and flexible network vertical handover strategy,and ensures a good accuracy and efficiency.
文摘In this paper, transmission power control problem for uplink LTE network is investigated and a new autonomic uplink power control scheme was proposed based on utility function, which is a self- organized algorithm. The whole approach is based on the economic concept named utility function. Then a self-organized algorithm is distributed in each mobile users to control the transmission power and to maximize the transmission utility. The proposed scheme is solved through the Lagrange multiplier technique. It is proved that the utility function based algorithm optimal power level can be model. is applicable and the achieved based on our
文摘Four executives of Chinese video-sharing site Qvod Technology Co.Ltd.stood trial at the Haidian District People’s Court in Beijing on January 7-8 on charges of profiting from spreading pornographic content online.
