redundant data
Redundant Data Filtering in WSN and RFID Network Integration
... distribute data in decentralized dynamic ...which redundant data is critical as it is coupled with time delay and energy consumption which results in waste of various network ...paper ...
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REDUCED REDUNDANT DATA IN THE WIRELESS SENSOR NETWORK USING PARTICLE SWARM OPTIMIZATION
... for data transmission task by selection process based on weighted sum of the parameters and ...total data in the network during complete lifetime. About an average 74% data is reduced in LEACH-PSO ...
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Elimination of Redundant Data In Cloud With Secured Access Control
... the data records F to users whose privilege belongs to the tone set PF= fpjg plus ...the data of the ships are recorded by the tag F = TagGen (F) to the location waiter secrete remote, who will return F; p ...
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REDUCTION IN STORAGE SPACE BY ELIMINATION OF REDUNDANT DATA
... of data, and has been widely used in cloud storage to reduce storage space and upload ...sensitive data also arises when they are outsourced by users to ...the data chunks are distributed across ...
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A Performance Measure of Deduplication in Hadoop Framework
... In the real world, the amount of data is growing exponentially; small and medium enterprises or educational organization will suffer from insufficient space problem. Therefore, in this paper, to face this ...
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IJCSMC, Vol. 2, Issue. 10, October 2013, pg.5 – 13 RESEARCH ARTICLE A Novel Syndrome Coding Scheme for Embedding and Minimizing Distortion in Steganography
... medium’s redundant data bits (those that can be modified without destroying that medium’s integrity) ...these redundant data bits with data from the hidden ...
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Reducing Cloud Bandwidth and Eliminate Redundant Network Traffic in Cloud Computing
... and redundant data in network have been reduced because of the algorithm Traffic redundancy elimination and Predictive ...eliminate redundant data in network links so bandwidth and cloud cost ...
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An effective study on data fusion models in wireless sensor networks
... for data collections and in some cases sensor fails to collect the data due to the external factors such as pressure, temperature and electromagnetic ...measurements. Data fusion is the best solution ...
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AUTOMATED CELL NUCLEUS SEGMENTATION AND ACUTE MYELOGENOUS LEUKEMIA DETECTION IN BLOOD MICROSCOPIC IMAGES
... Feature extraction in image processing is a approach of reexamine a large set of redundant data into a set of features of reduced dimension. Converting the input data into the set of features is ...
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REMOVAL OF REDUNDANT AND IRRELEVANT DATA FROM TRAINING DATASETS USING SPEEDY FEATURE SELECTION METHOD
... removes redundant and irrelevant features. The redundant data is removed using entropy measure, creating the graph, constructing minimum spanning tree, tree partitioning and representing attribute ...
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Phenotyping of poplar seedling leaves based on a 3D visualization method
... of data fitting, a specific method using the angle of adjacent two-point normal vectors was introduced to filter redundant data, kept essential sample values as the control points, and then used the ...
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Cloud data redundancy check mechanism for secure integrated public clouds
... digital data has made this paper to propose a novel idea for secure deduplication in cloud ...eliminates redundant data among multiple users over multiple integrated clouds without affecting the ...
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The reliability model of a distributed data storage in case of explicit and latent disk faults
... to data fragment recovery1 𝜇 ⁄ ...recover data fragment is made up of the time from the moment of disk failure to its detection and the time from the failure detection to the moment when the fragment to be ...
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ENHANCE INTRUSION DETECTION CAPABILITIES VIA WEIGHTED CHI SQUARE, DISCRETIZATION AND SVM
... This study is a part of an on-going research towards enhancing the existing TCP technique for event sequences. This paper will present the application of the redundancy factor in the TCP process by considering the values ...
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Elimination of Redundant Information for Web Data Mining
... These days, billions of Web pages are created with HTML or other markup languages. They only have a few uniform structures and contain various authoring styles compared to traditional text-based documents. However, users ...
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An Exploration of Redundancy in Classification Schemes on the Web: A Study of EIA and Amazon Websites
... As Belkin (1986) pointed out, the terms in the user’s mind may be different from the terms used to represent the same meaning in the classification scheme. Although the topics are overlapping, they provide more possible ...
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3D Visualization of Poplar Seedlings Based on ToF Camera
... Three-dimensional (3D) visualization technology, especially for the purpose of crop phenotyping and observation is the cutting edge of agriculture and forestry research. Currently, 3D visualization mainly concentrates on ...
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How Does the Spatial Data Redundancy Affect Query Performance in Geographic Data Warehouses?
... spatial data does affect query processing performance in geographic data warehouses; (ii) if non- redundant spatial data are represented as point data, an approach to avoid additional ...
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An Optimal Group Based Routing Using Social Behavior
... The paper [15] presented a heuristic routing protocol that utilizes the social relations between nodes to reduce redundant copying of packets. The results of [15] show that the proposed protocol significantly ...
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Classification of data center to maximize energy utilization and save total cost of ownership
... environment in which the data processing equipment is installed. These systems are composed of air handlers, air conditioners, chillers, plenums to channel airflow, and so on. The electrical systems provide the ...
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