Data Filtering
Redundant Data Filtering in WSN and RFID Network Integration
... RFID Data Filtering Scheme proposed by Dong-Hyun Lee, redundant data is divided into two types: inter-cluster and intra-cluster ...RFID data packet received by the cluster head is decided from ...
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Performance Analysis of Data Filtering in Scientific Workflows
... of data involved in data-intensive experiments, this filtering becomes difficult to be planned a priori, since it is defined based on runtime analysis of partial ...produced data, which do not ...
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GNSS data filtering optimization for ionospheric observation
... This paper faces a delicate and crucial aspect of GNSS data analysis, i.e. the discrimination between ionospheric and environmental disturbances. In particular, this work is focused on the long term effects ...
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An adaptive data filtering model for remaining useful life estimation
... multidimensional data is filtered into amore appropriate form for prognosis, the multi-step ahead prediction needs to be obtained for RUL ...historical data is available and the failure is expected to ...
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Evaluation of nonlinear filtering for radar data tracking
... linear filtering becomes more and more difficult to satisfy the demands of radar tracking, while nonlinear filtering can solve problems such as non-Gaussian ...nonlinear filtering algorithms at ...
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Techniques of Recommender System
... reachable data online and also the number of users have lead to the information overload ...three data filtering methods such as content based filtering technique, collaborative based ...
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Application of the HLSVD Technique to the Filtering of X-Ray Diffraction Data
... the data pro- cessing chain is an e ff ective and adaptive noise filtering [1– ...XRD data filtering are performances in noise suppression, capability to preserve the peak position, ...
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Robust Local Weighted Regression for Magnetic Map Based Localization on Smartphone Platform
... original data, which makes the established map more sta- ble and ...average filtering model is used to filter the magnetic data which rely by particle filter as observation in the process of indoor ...
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SECURED DATA DISSEMINATION IN WIRELESS SENSOR NETWORKS
... bogus data filtering capacity thereby ensuring end to end data security of the data delivered to the sink, MAC structure is used to handle the authentication keys of the nodes, the number of ...
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Ranking Passages for Argument Convincingness
... of data filtering, combining strategies is not always ...MACE filtering has already been done, it is generally better to leave cycle- inducing passage sets in the training ...MACE filtering ...
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A Study on Image Enhancement and Resolution through fused approach of Guided Filter and high resolution Filter
... The guided filter is not simply a smoothing filter but it be used as the local linear model, the output q is used as scaling of the guidance I. This makes possible to transfer structure from the guidance I to the output ...
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RATACA: ROBUST AND AUTHENTIC TECHNIQUE AGAINST COLLUSION ATTACK
... The main work of any sensor network is to transfer the accurate data to the destination. The collusion attack biased the nodes to change the reading of the sensor nodes. It leads to inaccurate readings. This paper ...
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Automatic filtering of outliers in RR intervals before analysis of heart rate variability in Holter recordings: a comparison with carefully edited data
... automatic filtering of RR ...when filtering of data from subjects in the oldest age-group, a relatively low value of the filtering threshold should be used to remove the ectopic ...the ...
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The Review of Data Mining based on Image Filtering Techniques
... processing, filtering is a basic operate to obtain various task like reduction of noise, insertion of something new & sampling ...of filtering on the details of images is used maximum times in image ...
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Filtering and Mining Parallel Data in a Joint Multilingual Space
... Parallel data, also called bitexts, is an important resource to train neural machine translation sys- tems ...parallel data are international organizations like the European Par- liament or the United ...
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Data Fusion Method Based on Adaptive Kalman Filtering
... encoder filtering process is combined the with previous corrected uncertainty of ultrasonic sensor filtering process, following the uncertainty combination guide suggested in ISO GUM ...
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Spam Filtering Using Statistical Data Compression Models
... In this paper, we consider the use of adaptive data compression models for spam filtering. Specifically, we employ the dynamic Markov compression (Cormack and Horspool, 1987) and pre- diction by partial ...
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Dynamic Collaborative Filtering Recommendation on Sparse Data Sets
... The Sparsemodel discovered user background knowledge from user local instance repositories, rather than documents read and judged by users. Thus, the Sparseuser profiles were not as precise as the TREC user profiles. ...
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Application of the trend filtering algorithm for photometric time series data
... observational data, have allowed astronomers to explore the time domain in ...series data, or “light curves”, which monitor the brightness of a stellar object on time-scales varying from minutes to ...
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Collaborative Filtering Approach For Big Data Applications in Social Networks
... Big Data concerns large-volume, complex, growing data the recommendation accuracy based on users ratings may sets with multiple, autonomous sources so existing be ...
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