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Hadoop Distributed File System (HDFS) provides the storage to keep analyzing outcomes for the diversity of frameworks. MapReduce, Storm, and Spark each applies on batching, streaming and in-memory computing, all of them need the HDFS to collect and assemble results. For coping with Big-Data analysis in the real world, complicated platforms required working together. However, collaborating analysis...
The parallel algorithm of Petri net based on multi-core clusters is put forward in order to make the Petri net system with concurrent synchronous function realize parallel control and running. First, select different Petri net structures and conduct transformation, and give the partitioning method of the subnets of place invariant-based Petri net system. Then, put forward the parallel algorithm of...
Maximal compression of a file may not be desirable in a practical communications network with varying bandwidth constraints and diverse computational power at network host and client locations. Maximizing compression can stress both the compressor and decompressor, while leaving data pathway(s) under utilized, and conversely, insufficient compression can introduce unnecessary bottlenecks. We present...
Visual servoing, using the visual measurements direct in the control loop, is a problem that in recent years has grown in interest. One of the main problems involved in these systems is that, while the robot manipulator has a well known model and identification methods have been available, the vision system introduces a nonlinear transformation and modifies the dynamics as seen in the image plane...
In this paper, an effective synthetic aperture radar image segmentation method is proposed. Gaussian mixture models optimized by greedy expectation maximization algorithm are applied. The immune genetic algorithm is employed to initialize greedy expectation maximization algorithm and search the optimal values in the whole range, instead of general k-means algorithm, which is different from the traditional...
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