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This paper is aimed at solving the problem in the data acquisition process of WSN network, such as energy problem, the correlated problem of data acquisition and the dynamic problem of network topology. An efficient data collection solution based on TRIZ contradiction matrix and innovation principle is presented in the paper. Firstly, the contradiction matrix is used to obtain the corresponding principle,...
In view of the deficiency of existing power line networking algorithms, the paper proposes a novel improved clustering multipath blind routing algorithm, which meets the requirements of survivability and real-time, solves the problem of network reconstruction on link invalidation. Also, solutions to some abnormal situations, such as node joining and exiting are given. Finally, the validity and superiority...
The support is generally higher when the classical apriori algorithm is used as mining data based on association rules, if the support is small low then redundant frequent item set and redundant rules are produced large, so the local effective association rules has a larger confidence and a smaller support can not be mined out, which is the fatal defects of the classical apriori algorithm. According...
For real time and high availability cluster, key characteristics are datas computing must be finished before the deadline in every computing period and systems never fail in a long life term. First, an real time and high availability cluster platform based on task distributing table is described in the paper, then measures from aspects of process scheme and message transferring are introduced to guarantee...
A dynamic clustering algorithm based on hybrid particle swarm-ant colony optimization (PS-ACO) algorithm is presented in the paper. In the algorithm, the number of cluster is dynamic, ACO algorithm is modified by particle swarm optimization (PSO), both the external function and internal function are used to measure the quality evaluation for clustering. The optimal partition is fulfilled by improved...
This paper proposes a novel algorithm for modulation recognition of MQAM signals which uses the combination of subtractive clustering (SC) and particle swarm optimization (PSO) (PSO-SC) to extract the discriminating features. The method uses PSO to search for the best clustering radius of SC in order to enable reconstructed constellation optimal. Then, the best clustering radius (CR) is used as classification...
The paper presents a novel Three-tier Parallel Simulated Annealing algorithm with Memory function (TPSAM) based on multi-core computer with Threading Building Blocks (TBB). The purpose of a new memory function is not to trap into a local optimization. TPSAM is decomposed into three-tier: data decomposition parallelism, task processing parallelism and data composition parallelism and it can improve...
Due to the rapid technological developments in image/video capturing, huge data storage, video compression and networking, huge amount of video data are produced each day all over the world. Finding effective ways to store, index and retrieve these video remains a hot researching area. It is especially important for the producers/editors of television programs, since to keep track of the 1000's of...
To simulate the auto-focus mechanism of human's eyes by using artificial neural networks is a reasonable and available way to improve the auto-focus effect of digital cameras. The evaluation of image definition plays a key role in the auto-focus of digital cameras, so constructing the image definition evaluation is an important step of designing auto-focus systems. In this paper, we use the pattern...
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