To increase the coding speed of the quality Scalable High efficiency Video Coding (SHVC), a new intra prediction algorithm based on quality SHVC was proposed. Firstly, the potential depth was predicted by using inter-layer correlation, and the depths with low possibility were eliminated. Secondly, for the likely depth, Inter-Layer Reference (ILR) mode was used to code and examine the residual distribution by using distribution fitting to determine whether the residuals follow a Laplace distribution. If the residual followed the Laplace distribution, intra prediction was skipped. Finally, the depth residual coefficient of depth coding was tested to determine whether to satisfy the depth of early termination, if the condition was met, the code process would be terminated to improve the coding speed. The experimental results show that the proposed algorithm can improve the coding speed by 79% with negligible coding loss.

Radio Frequency IDentification (RFID) systems often require multiple readers to ensure coverage of the entire target area. When there are too much readers, because of the mutual interference between the readers, the efficiency of the whole RFID system and the recognition efficiency are reduced. To resolve the problem, a new reader anti-collision algorithm based on graph theory was proposed. Firstly, the reader network was considered as a simple graph with time slot of the reader groups, the readers with the same time slot were regarded as a group, and the adjacent readers were assigned with different time slot, thus avoiding the interference caused by overlapping. At the same time, considering the frequency interference problem within the group of readers, the readers in the group with the same frequency were regarded as a group, and the adjacent readers were assigned with different frequency, thus avoiding the frequency collision caused by too large interference range. Next, according to the grouping information, the time slots and the frequency resources were assigned to each reader by the central server through the arrangement command. Finally, the working order of each group of readers was assigned by the central server through the ordering commands. The simulation results showed that compared with the Neighbor-Friendly Reader Anti-Collision (NFRA) algorithm, the average work efficiency of the proposed scheme was improved by 6.5 percentage points and the efficiency of a system with 1000 readers was improved by 9.5 percentage points. The results demonstrate that the proposed algorithm based on graph theory can optimize the number of working readers in the given time and reduce the number of idle readers.