Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,s...Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,spatial and social correlation.Recommending friends instantly based on current location of users in the real world has become increasingly popular in LMSN.However,the existing friend recommendation methods based on topological structures of a social network or non-topological information such as similar user profiles cannot well address the instant making friends in the real world.In this article,we analyze users' check-in behavior in a real LMSN site named Gowalla.According to this analysis,we present an approach of recommending friends instantly for LMSN users by considering the real-time physical location proximity,offline behavior similarity and friendship network information in the virtual community simultaneously.This approach effectively bridges the gap between the offline behavior of users in the real world and online friendship network information in the virtual community.Finally,we use the real user check-in dataset of Gowalla to verify the effectiveness of our approach.展开更多
There is a deviation between actual and theoretical perceived positions of virtual object in stereoscop-ic display.Therefore,methods for precise position perception in real world are proposed in this paper.The causes ...There is a deviation between actual and theoretical perceived positions of virtual object in stereoscop-ic display.Therefore,methods for precise position perception in real world are proposed in this paper.The causes for the deviation are analyzed on the basis of geometrical optics .Then deviation correctionsare performed by error compensation with mathematic method and by remodeling virtual viewpoint dynami-cally with the movement of physical viewpoint.Experimental results show that these methods can reducethe position deviation to less than 10 millimeter,meeting the requirements for direct manipulation in mul-ti-sensory virtual environment.展开更多
基金National Key Basic Research Program of China (973 Program) under Grant No.2012CB315802 and No.2013CB329102.National Natural Science Foundation of China under Grant No.61171102 and No.61132001.New generation broadband wireless mobile communication network Key Projects for Science and Technology Development under Grant No.2011ZX03002-002-01,Beijing Nova Program under Grant No.2008B50 and Beijing Higher Education Young Elite Teacher Project under Grant No.YETP0478
文摘Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,spatial and social correlation.Recommending friends instantly based on current location of users in the real world has become increasingly popular in LMSN.However,the existing friend recommendation methods based on topological structures of a social network or non-topological information such as similar user profiles cannot well address the instant making friends in the real world.In this article,we analyze users' check-in behavior in a real LMSN site named Gowalla.According to this analysis,we present an approach of recommending friends instantly for LMSN users by considering the real-time physical location proximity,offline behavior similarity and friendship network information in the virtual community simultaneously.This approach effectively bridges the gap between the offline behavior of users in the real world and online friendship network information in the virtual community.Finally,we use the real user check-in dataset of Gowalla to verify the effectiveness of our approach.
基金supported by the National Natural Science Foundation of China(No.60674052)
文摘There is a deviation between actual and theoretical perceived positions of virtual object in stereoscop-ic display.Therefore,methods for precise position perception in real world are proposed in this paper.The causes for the deviation are analyzed on the basis of geometrical optics .Then deviation correctionsare performed by error compensation with mathematic method and by remodeling virtual viewpoint dynami-cally with the movement of physical viewpoint.Experimental results show that these methods can reducethe position deviation to less than 10 millimeter,meeting the requirements for direct manipulation in mul-ti-sensory virtual environment.
