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Memcached is an in-memory key-value caching system, which is used to resolve the principal contradiction of the disk-based database between the CPU and input/output, has been widely used as an effective way to solve the distance and improve the capacity of the source server. We optimize the performance of Memcached memory access through two ways: improve the density of memory storage and ameliorate...
Traditional differential evolution (DE) algorithm has a tendency to suffer from premature convergence. In this paper, we proposed an improved DE based on dynamic mutation operator and opposition learning strategy. These mechanisms can expand the search area and is helpful to balance exploration and exploitation of DE. Numerical experiments demonstrate that our algorithm is effective.
The parameter establishment of differential evolution algorithm (DE) is generally determined by the experience selection method, whose shortcomings include the massive operational parameters, the difficulty in obtaining the best parameter combination, and further obstacle to improve the optimization ability of the algorithm to a great extent. The article introduces the uniform design method of differential...
RF and microwave networks are often characterized using scattering or S-parameters. The S-parameters of a network provide a clear physical interpretation of the transmission and reflection performance of devices. Vector-network-analyzer can measure S-parameters rapidly with a great accuracy. When a calibration has been performed, we need to use verification kits to check the performance of the VNA...
The emerging High-Efficiency Video Coding (HEVC) standard has introduced a number of new coding tools, such as a quad-tree based coding unit (CU). The quadtree-structured coding unit achieves significant coding efficiency improvements compared to H264/AVC. However, the complexity of CU depth decision associated with Rate-Distortion (R-D) cost computation dramatically increased. In order to alleviate...
In this paper, a hybrid optimization algorithm, consisting of a central force optimization and a gradient-based method, is constructed. The central force optimization is used to locate decent points for previously converged local minima. The combined algorithm balance explores and exploits.
To reduce the computational complexity and latency of Turbo decoding, a new decoding scheme is proposed. Firstly, the Max-Log-MAP algorithm is modified to improve performance while guarantee the calculation simplicity at the same time. Then, the parallel decoding scheme was introduced, and an improvement is made so that the two SISO decoders can work at the same time. The simulation results show that...
Rate-Distortion (R-D) optimization technique plays an important role in video coding. R-D sense discarding (thresholding) technique can make great improvement on the coding efficiency. This work first proposes a multi-level coefficient discarding scheme, which is composed of coefficient-level (CL), block-level and macroblock-level discarding. In CL, coefficient-level R-D cost function is formulated...
Standardization is the basic requirement of chain operation, it relates the chain's development speed and success. Calculation standardization level don't get enough attention. Referring to 6¦Ò quality management theory, using discrete coefficient method and choosing some key factors from customer perspective which influenced performance of the chain as evaluation indexes, the paper established an...
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