According to the adaptive bitstream matching technology of terminal services pull mode, this paper proposes a real-time adaptive bitstream switching algorithm for HTTP streaming. It uses the sliding window to analyze the time for downloading each video segmen. Hypothesis testing is used to judge whether there is a rate jump, which degrades the estimation significantly, in present observing window. The Ek/D/1/N queue is employed to model the number of segments in the receiver buffer and to figure out the underflow probability. Customized values of loss and benefit are set to underflow risk and stream quality respectively. A stream with optimal integrated benefit is considered to be the target stream. Experimental results show that the proposed algorithm can determine the appropriate downloading stream based on the current available bandwidth, with good performance of rate adaption.
In the process of mobile communication, the service efficiency is low if the communication situation cannot be known in advance. Aiming at this question, this paper proposes a method for communication situation estimating based on the Hidden Markov Model(HMM). In general, user behaviors change as the time goes. It utilizing this feature gives a time slots division method and concrete algorithm according to the difference of efficiency, genetic algorithm or traversal algorithm. Then by mining the relationship between time, location and service, it builds HMM. This paper utilizes Viterbi algorithm to predict the communication situation. Simulation results show that the location predicting success rate is 73% and the behavior predicting success rate is 75% when the pattern feature value is 0.8.
In order to help people find researchers, knowledge and fields of study more accurately and efficiently, this paper designs and develops a recommendation system based on the academic relationship of researchers like co-authors relationship. It models the researcher using the keywords in the papers that the researcher has authored, and uses the academic relationship of co-authors in papers to calculate the similarity to other researchers and recommend researchers. Experimental result verifies that compared with the method without considering the academic relationship, the precision can be increased by 5% or more.
Considering the unique characteristics of low data transfer rate and high energy consumption in Underwater Acoustic Sensor Network(UWASN), this paper presents a routing protocol based on correlation-aware in UWASN. It merges data according to their correlation during the process of routing for reducing communication and network energy consumption. Moreover, this protocol can also balance energy consumption of varies nodes in case some nodes exhaust their energy. Simulation results show that the protocol achieves relatively high packet transmit rate with low energy consumption.
Based on the thorough analysis and study on the structural characteristics of Context-based Adaptive Variable Length Coding(CAVLC) code tables, this paper proposes a new table lookup algorithm for CAVLC decoding with the statistical law of code tables. The idea of this algorithm is based on the relationship between the numbers of zero in code prefix and the length of code. With it, it proposes a scheme, in which the code suffix and the code value are determined by the relationship between the numbers of zero in code prefix and the length of code, and it can decode the input code quickly. As a result, a specific input code can be decoded with only one time table lookup. Test results show that the optimized algorithm can achieve 20% speed-up in the table lookup compared with the original algorithm.