A bursty traffic model is introduced in this paper to describe the statistical characteristics of packet video. The performance of leady bucket algorithm with bursty traffic input is analyzed. The influences of variou...A bursty traffic model is introduced in this paper to describe the statistical characteristics of packet video. The performance of leady bucket algorithm with bursty traffic input is analyzed. The influences of various parameters on QOS (Quality of Service) are investigated. The analysis shows that although the loss probability decreases through expanding the buffer capacity, the delay and delay jitter increase, whose effect on QOS will not be negligible.展开更多
A quantitative analysis of knowledge representation is attempted.Based on the fractal theory and information measuring principles and methods,a series of quantitative concepts for knowledge representation,e.g.informat...A quantitative analysis of knowledge representation is attempted.Based on the fractal theory and information measuring principles and methods,a series of quantitative concepts for knowledge representation,e.g.information capacity,entropy,information processing channel (IPC),are proposed.From the viewpoint of information processing,the principles of maximum entropy and increasing entropy are discussed,and the types,characteristics and structures of information processing channel are also discussed.Finally,the quantitative theoretical analyses of several typical knowledge representation methods are given.展开更多
基金Supported by Foundation of Electronic Science Institutethe National Natural Science Foundation of China
文摘A bursty traffic model is introduced in this paper to describe the statistical characteristics of packet video. The performance of leady bucket algorithm with bursty traffic input is analyzed. The influences of various parameters on QOS (Quality of Service) are investigated. The analysis shows that although the loss probability decreases through expanding the buffer capacity, the delay and delay jitter increase, whose effect on QOS will not be negligible.
基金Project supported by the National Natural Science Foundation of China, the Climb Project and the 863 Intellgent Computer Project.
文摘A quantitative analysis of knowledge representation is attempted.Based on the fractal theory and information measuring principles and methods,a series of quantitative concepts for knowledge representation,e.g.information capacity,entropy,information processing channel (IPC),are proposed.From the viewpoint of information processing,the principles of maximum entropy and increasing entropy are discussed,and the types,characteristics and structures of information processing channel are also discussed.Finally,the quantitative theoretical analyses of several typical knowledge representation methods are given.
