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Compression, as a popular technique to reduce data size by exploiting data redundancy, can be used in delay sensitive wireless sensor networks (WSNs) to reduce end-to-end packet delay as it can reduce packet transmission time and contention on the wireless channel. However, the limited computing resources at sensor nodes make the processing time of compression a nontrivial factor in the total delay...
In text categorization, feature selection is an effective feature dimension-reduction methods. To solve the problems of unadaptable high original feature space dimension, too much irrelevance, data redundancy and difficulties in selecting a threshold, we propose an improved LAM feature selection algorithm (ILAMFS). Firstly, combining the gold segmentation and the LAM algorithm based on the characteristics...
This paper proposed a reasonable evaluation model with the decision-making attribute as the upper factor and the condition attribute as the lower factor, considering both the advantage of reduction in processing massive data and the advantage of AHP in decision-making. AHP has been used in reduction for the rules extracted. The attribute reduction algorithm utilized to improve the reduce of the magnanimous...
As processing power becomes cheaper and more available by using cluster of computers, the needs for parallel algorithms, which can harness these computing potentials, are increasing. Automatic database normalization is an application of parallel algorithms. Normalization is the most exercised technique for the analysis of relational databases. It aims at creating a set of relational tables with minimum...
The aim of this paper is to study the performance of wavelet filters, using SPIHT algorithm with tiling operations for image compression. Tiling operations will be useful when images to be compressed are larger in size. Performance of different wavelets on image compression for different level of wavelet decomposition and for different tiling size is studied. Data redundancy is a fundamental issue...
RFID is gaining significant thrust as the preferred choice of automatic identification and data collection system. However, there are various data processing and management problems such as missed readings and duplicate readings which hinder wide scale adoption of RFID systems. To this end we propose an approach that filters the captured data including both noise removal and duplicate elimination...
This paper proposes the chaos-genetic algorithm (CGA) based on the cat map in order to optimize a multidimensional and multimodal non-linear cost function for the seismic wavelet. The algorithm uses the initial sensitivity of the cat map to expand the scope of the search, and uses the ergodicity of the cat map to search the chaotic variables. Thus, reduces the data redundancy, maintains the diversity...
Security is one of the major issue for the ubiquitous sensor networks' (USNs) applications. The evolution of ubiquitous sensor networks provides a unique solution for many ubiquitous information services. Apparently, it challenges the data security and secrecy due to its hostile deployment which is not robust to physical attacks from restricted sources. In order to resolve, the security issue that...
The problem of data procession in a majority of units isn't the lake of data at present. The problem is large numbers of data redundancy and data disaccord. Data congesting comes forth in the units because of the contradiction between enormous data quantity and traditional data management plan. Therefore, equipment management system based on BI is brought forward in this article. Multi-view metadata...
In this paper, we study the problem of the data redundancy in XML Keyword Search by SLCA and propose a new mode to resolve it. We begin by introducing the notion of SLCA and analyzing its faults. Then we propose the concept of Indirect-SLCA (ISLCA) to reduce the redundancy basing on the notion of Heterogeneous node. In order to speed up the computation of ISLCA, we improve the Dewey code by bring...
Data fusion on remote sensing is one of important problems in current image processing. The key of a successful image fusion is to find an effective and practical image fusion algorithm. To eliminate high-order image data redundancy for two different remote sensing images which is nonnegative, a new approach using the nonnegative ordinal independent component analysis(ICA) based on Lagrange algorithm...
Normalization is the most exercised technique for the analysis of relational databases. It aims at creating a set of relational tables with minimum data redundancy that preserve consistency and facilitate correct insertion, deletion, and modification. A normalized database does not show anomalies due to future updates. It is very much time consuming to employ an automated technique to do this data...
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