The basic idea of Hadoop is to use multiple independently working computers to form a cluster of computers that can be stored and calculated logically, and do not require other expensive facilities to run, but integra...
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The basic idea of Hadoop is to use multiple independently working computers to form a cluster of computers that can be stored and calculated logically, and do not require other expensive facilities to run, but integrate cheap equipment together. Hadoop technology is produced in the context of big data, to achieve the mass storage of big data, the most prominent advantage is the cost advantage. Based on Hadoop architecture, this paper designs the lzw compression algorithm for improving the storage efficiency of teaching resources, including the algorithm principle and algorithm flow. The system functions of resource collection, storage, management, migration and retrieval are designed. and designed the function module of each system. The function modules of the system form a whole system through parameter transfer, which has low coupling property. The research results assist the construction of an integrated sharing system of storage, management, transfer and retrieval of teaching resources to meet the demands of teaching resource sharing in the era of big data.
In this paper, fourteen descriptors are evaluated for urban-rural classification of aerial images. Among these fourteen descriptors, eleven descriptors consist of texture-based, color-based con combination of these tw...
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ISBN:
(纸本)9781614998006;9781614997993
In this paper, fourteen descriptors are evaluated for urban-rural classification of aerial images. Among these fourteen descriptors, eleven descriptors consist of texture-based, color-based con combination of these two descriptors. Rest three descriptors are based on dictionaries generated using the Lempel-Ziv-Welch (lzw) data compressionalgorithm. The classification is carried out using Support Vector Machine (SVM) with radial basis function as kernel function and KNN algorithm. The performance of these images descriptors are evaluated using accuracy, precision, sensitivity and specificity. From evaluation results, we conclude the Gabor descriptor combined with Dominant Color descriptor provides better performance, obtaining its accuracy more than 91%.
Effective data compression is the most important concern in data management methods. The lzwcompression method is one of the most popular algorithms in different compression method. There is one more concern i.e. com...
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ISBN:
(纸本)9781479939251
Effective data compression is the most important concern in data management methods. The lzwcompression method is one of the most popular algorithms in different compression method. There is one more concern i.e. compressed pattern matching. Compressed pattern matching is an emerging research area that addresses the problem in which finding patterns in the compressed data and report all the occurrences of the patterns without decompressing the compressed data. In this thesis has developed, analyzed and test a new data compression technique "compression data Based on Dictionary "and "Searching algorithm in Compressed data ". This algorithm generates the compression codes for words and maintains a dictionary for compression as well as decompression. Searching algorithm uses the quick search string matching algorithm for finding the required patterns.
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