Because of massive changes, new business models appear and determines the relocation of new solutions for software design, organization and management. This paper presents aspects related to the business environment u...
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An ultracompact fiber inline Mach-Zehnder interferometer (MZI) has been formed by side-ablating a U-shape microcavity in a single-mode optical fiber with the fiber core partially removed using a femtosecond (fs) laser...
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Today implementation of sort leads to lower and easier order time. Our purpose in this article are trying to introduce an algorithm with lower cost of Bubble sort and nearly same as Selection sort. A way is in orderly...
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For the purpose of acquiring the immersion and reality of flight simulation, there is a necessity to reproduce 3D sound field of aircraft cockpit. In this paper, a 3D sound simulation system which is integrated into f...
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A dynamic load balance model of the distributed storage system in digital gas fields is introduced. In the meantime, the distributed load balance of digital gas fields' storage management information system is put...
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With the development of the Broadcasting and Video network, the Monitoring System on Digital Video Broadcasting is becoming more and more important. Image recognition technology is widely applied to detect the degrade...
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ISBN:
(纸本)9781612848372
With the development of the Broadcasting and Video network, the Monitoring System on Digital Video Broadcasting is becoming more and more important. Image recognition technology is widely applied to detect the degraded video in the television observation system. Mosaic block easily occurs in the TV signals, which will degrade the video quality. The conventional mosaic detection algorithm can’t distinguish Chinese character from real mosaic block. In order to solve the problem, we propose a mosaic block detection method based on fuzzy c-means clustering to detect mosaic block. The method contains three steps. First, the frame is processed by Sobel edge detection algorithm to obtain the edge image. Second, clustering features are extracted for the fuzzy c-means clustering algorithm. Third, a fuzzy c-means clustering is employed to distinguish mosaic blocks from all the normal image blocks. Experimental results show that our algorithm could differentiate Chinese character with real mosaic block.
Base on RS and GIS, 1993, 2000, 2007 and 2009 TM images of Tangshan Nanhu Wetland are taken as the data source, Landscape characteristics and change are studied. The knowledge discovery and feature extraction on the b...
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The referees of gymnastics give objective evaluation of performance subjectively according to the competition rules. Due to their differences of aesthetic value and understanding of competition rules, it may easily ca...
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Where IP cores to be mapped must be carefully solved for any given application in order to optimize different performance metrics in Network-on-Chip (NoC) design flow. The optimization of different performance metrics...
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Many protein complexes prediction approaches are based on the assumptions that (i) protein complexes have dense protein-protein interactions (PPI) among their subunits, and (ii) high functional similarity for the subu...
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