The linear correlations among sensor data
Sequential Bayesian Inference for Dynamic Linear Models of Sensor Data
... that by using parallel computing techniques the program would speed up the process, but the speed-up size never achieves the number of cores used if some part of the program cannot be parallelised. Amdahl’s law only ...
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A mean field method with correlations determined by linear response
... if data is of very high quality, in practical applications this is unlikely, sam- pling will be subject to errors and performance may not be significantly improved over NMF, the more interest- ing comparison of ...
Small and negative correlations among clustered observations: A simulation study about limitations of the linear mixed effects model
... the linear mixed effects model is used for analysing clustered ...clustered data may ...the linear mixed effects model is an inappropriate tool for analysing clustered data containing negative ...
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An Enhanced Underwater Linear Wireless Sensor Network Deployment Strategy for Data Collection
... collects data from the BSN ...mobile sensor nodes are also commonly used for the monitoring of linear structures such as the long-range water pipelines, this system is designed by deploying mobile ...
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Data compression in ViSAR sensor networks using non linear adaptive weighting
... The main shortcoming in the design of LMMSE interpolator is to select equal weights for two corre- sponding pixels which are in the same direction. Ac- cording to logic of greedy algorithms, LMMSE is not classified into ...
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KLI Linear CCD Image Sensor
... Noise Noise is defined as any unwanted signal added to the imager output. Temporal noise sources present in a typical imager include the dark current, photon shot noise, reset transistor noise, CCD clocking noise, and ...
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Linear Programming Model of Sensor Network
... communication data exchanged between the sensor nodes, Tsai proposed a simple method to share keys [31] ...each sensor node behaves as a beacon, where they broadcast string of random bits in their ...
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Exploring correlations among copy number variants
... this data matrix are purely categori- cal; there is no numerical significance attached to these ...the data matrices obtained from the Yoruba and European individuals have 60 columns while that from the ...
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Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks
... dimensional linear statistics of high-dimensional measurement data along with decision rules defined in the low-dimensional space in the case when the probability density of the mea- surements and class ...
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Towards data centric control of sensor networks through Bayesian dynamic linear modelling
... the data communica- tion in comparison with the original ...temperature sensor at a precision requirement level of ϵ = ...actual data communication of the local level model is ...original data ...
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Utilizing Correlations to Compress Time-Series in Traffic Monitoring Sensor Networks
... Wireless sensor networks present significant oppor- tunities for fine-grained and continuous monitoring of road traf- fic, enabling careful city planning, automated road maintenance and accident ...car-flow ...
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CMOS x 1 Linear Image Sensor
... pixel data from the previously- scanned line is available on one of the differential output pins while the current scan line data is being ...pixel data is ...pixel data toggles between the ...
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Genetic correlations among psychiatric and immune-related phenotypes based on genome-wide association data [preprint]
... names, data sources, and estimated SNP heritability using the linkage disequilibrium score regression (LDSC) and heritability estimation from summary statistics (HESS) methods, as well as the GWAS sample size and ...
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Genetic Correlations among Selected Traits in Canadian Holsteins
... systematic data recording (Miglior et ...genetic correlations among economically important traits (Miglior et ...exist among studies, there is a general unfavorable relationship reported ...
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Correlations among adiposity measures in school-aged children
... skinfold thickness using equations [26,27]. Skinfold thick- nesses may or may not improve adiposity prediction when combined with BMI [9,28]; in our study, adding the sum of skinfolds variable to a linear ...
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Effective and Unsupervised Fractal-based Feature Selection for Very Large Datasets: removing linear and non-linear attribute correlations
... Big Data, unfortunately, they all fail to identify/eliminate non-linear correlations between ...eliminates linear and non-linear attribute correlations as well as irrelevant ...
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Visualizing Sensor Data
... resulting data type (compare to section ...the data type is 1-dimensional, too, according to Shneiderman ...of sensor data to the dimension of the measurand, the final data type will be ...
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Correlations between Inertial Body Sensor Measures and Clinical Measures in Multiple Sclerosis
... interactions among body parts ...interactions among body parts, named as Causality Index, provides the best separability performance between the healthy controls and MS ...the correlations with other ...
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Determining the Position of an Accelerometer Sensor using Linear Regression
... acceleration data at 78RPM for 10 seconds, the turntable was stopped, the device was moved 1cm to the right, and the turntable was ...a linear regression algorithm to determine the radius of rotation, and ...
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Node Ranking in Wireless Sensor Networks with Linear Topology
... wireless sensor networks with linear topology, knowing the physical order in which nodes are deployed is useful not only for the target application, but also to some network services, like routing or ...
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