Development and Validation of a Pattern-Recognition Engine for Visualization of Glycemic Patterns in Individuals Performing Low-Frequency SMBG

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 916-P ◽  
Author(s):  
GIACOMO VESPASIANI ◽  
ANTONIO NICOLUCCI ◽  
MILENA SALEH ◽  
JOCHEN SIEBER ◽  
GIUSEPPE PROSPERINI ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Low Frequency ◽  
Development And Validation

scholarly journals Damage evolution in wood – pattern recognition based on acoustic emission (AE) frequency spectra

Holzforschung ◽  
2015 ◽  
Vol 69 (3) ◽  
pp. 357-365 ◽  
Author(s):  
Franziska Baensch ◽  
Markus G.R. Sause ◽  
Andreas J. Brunner ◽  
Peter Niemz
Keyword(s):  
Pattern Recognition ◽  
Acoustic Emission ◽  
Cluster Formation ◽  
Low Frequency ◽  
Tensile Tests ◽  
Most Probable Number ◽  
Frequency Spectra ◽  
Probable Number ◽  
Ae Signal ◽  
Ae Signals

Abstract Tensile tests on miniature spruce specimens have been performed by means of acoustic emission (AE) analysis. Stress was applied perpendicular (radial direction) and parallel to the grain. Nine features were selected from the AE frequency spectra. The signals were classified by means of an unsupervised pattern recognition approach, and natural classes of AE signals were identified based on the selected features. The algorithm calculates the numerically best partition based on subset combinations of the features provided for the analysis and leads to the most significant partition including the respective feature combination and the most probable number of clusters. For both specimen types investigated, the pattern recognition technique indicates two AE signal clusters. Cluster A comprises AE signals with a relatively high share of low-frequency components, and the opposite is true for cluster B. It is hypothesized that the signature of rapid and slow crack growths might be the origin for this cluster formation.

Intelligent Control Circuit Integral with Pattern Recognition Techniques for High-Pressure Sodium Lamps

2017 ◽  
Vol 26 (07) ◽  
pp. 1750108
Author(s):  
Yuzhuo Pan ◽  
Chen Lv ◽  
Shanhe Su ◽  
Jincan Chen
Keyword(s):  
Pattern Recognition ◽  
High Pressure ◽  
Intelligent Control ◽  
High Frequency ◽  
Pulse Width Modulation ◽  
Smart Cities ◽  
Control Strategies ◽  
Low Frequency ◽  
Acoustic Resonance ◽  
Working Device

The paper presents the analysis, simulation, and experimental methods to eliminate acoustic resonance in high-frequency high-pressure sodium (HPS) lamps and integrate intelligent control strategies in the working device. Based on the pulse-width modulation (PWM) output generated by the microcontroller, the acoustic resonance in the high-frequency lamp can be successfully eliminated by modulating the high-frequency driving current via a low-frequency signal. Particularly, by implementing the pattern recognition, the control system enables the lamp to have the abilities of accurate timing, gradient dimming, automatic protection, and intellisense. The proposed model will provide useful information for designing intelligent lighting system towards smart cities.

scholarly journals Development and Validation of a Masking System for Mitigation of Low-Frequency Audible Noise from Electrical Substations

2021 ◽  
Author(s):  
Rogerio Dias Regazzi ◽  
Brunno Cunha ◽  
Hugo Villela de Miranda ◽  
Juan José Gómez Acosta ◽  
Carlos Roberto Hall Barbosa ◽  
...  
Keyword(s):  
Urban Areas ◽  
Low Frequency ◽  
Noise Spectrum ◽  
Major Drawback ◽  
The Public ◽  
Measurement Results ◽  
Urban Scenario ◽  
Human Ear ◽  
Electrical Substation ◽  
Development And Validation

Low-frequency audible noise generated by the magnetostriction effect inherent to the operation of power transformers has become a major drawback, especially in cases where the electrical substation is located in urban areas subject to strict environmental regulations that imposes sound pressure limits, differing for day and night periods. Such regulations apply a +5 dB penalty if a tonal component of noise is present, which is clearly the case of magnetostriction noise, typically concentrated at twice the industrial frequency (50 Hz or 60 Hz, depending on the country). The strategy used to eliminate the tonal characteristics, therefore contributing to establish compliance with the applicable regulation and to alleviate the discomfort it causes to the human ear, consisted in superimposing to the substation noise a masking sound synthesized from “sounds of nature” with suitable intensities, to flatten the noise spectrum while enhancing the soundscape. The masking system (heavy-duty speakers powered by a microprocessor platform) was validated at an already judicialized urban scenario. Measurement results confirmed that the masking solution was capable of flattening the tonal frequencies, whose beneficial effect yielded the cancellation of the public civil action filed by the neighbors. The proposed solution is ready to be replicated to other scenarios.

Search Time as a Function of Context Letter Frequency

Perception ◽  
1972 ◽  
Vol 1 (1) ◽  
pp. 57-71 ◽  
Author(s):  
C R Latimer
Keyword(s):  
Pattern Recognition ◽  
Reaction Time ◽  
High Frequency ◽  
Relative Frequency ◽  
Search Time ◽  
Low Frequency ◽  
Frequency Of Occurrence ◽  
Template Model ◽  
Letter Frequency ◽  
Feature Frequency

Neisser (1967) posits the operation of purely feature analytic processes in the scanning of context letters in search lists. This contention was tested by varying the relative frequency of occurrence in English of the context letters in alphanumeric search lists, while holding their feature content constant. It was hypothesized that faster search time on lists of high-frequency context letters would indicate letter-level processing. Equality of search time would indicate the purely feature-level processing required by Neisser's theory. Context letters were segregated into high- and low-frequency sets and their features defined and held constant according to two feature analyses. This yielded a 2 × 2 design with 22 subjects per condition. Attention was given to the control of feature frequency, size of the context-letter set, and approximation of English at the level of bigram, trigram, and word. Results supported a letter level or template model of processing but were shown also to be explainable in terms of some feature-testing models of pattern recognition. Apparatus which allowed for the removal of reaction time in search lists is described.

scholarly journals Development and validation of a low-frequency modeling code for high-moment transmitter rod antennas

Radio Science ◽  
2009 ◽  
Vol 44 (6) ◽  
pp. n/a-n/a ◽  
Author(s):  
Jared Williams Jordan ◽  
Ben K. Sternberg ◽  
Steven L. Dvorak
Keyword(s):  
Low Frequency ◽  
High Moment ◽  
Modeling Code ◽  
Development And Validation

scholarly journals Development and Validation of a Masking System for Mitigation of Low-Frequency Audible Noise from Electrical Substations

2021 ◽  
Vol 11 (17) ◽  
pp. 7771
Author(s):  
Rogerio Regazzi ◽  
Brunno Cunha ◽  
Hugo Villela de Miranda ◽  
Juan José Gómez Acosta ◽  
Carlos Roberto Hall Barbosa ◽  
...  
Keyword(s):  
Urban Areas ◽  
Low Frequency ◽  
Noise Spectrum ◽  
Major Drawback ◽  
The Public ◽  
Measurement Results ◽  
Urban Scenario ◽  
Human Ear ◽  
Electrical Substation ◽  
Development And Validation

Low-frequency audible noise generated by the magnetostriction effect inherent to the operation of power transformers has become a major drawback, especially in cases where the electrical substation is located in urban areas subject to strict environmental regulations that impose noise limits, differing for day and night periods. Such regulations apply a +5 dB penalty if a tonal component of noise is present, which is clearly the case of magnetostriction noise, typically concentrated at twice the industrial frequency (50 Hz or 60 Hz, depending on the country). The strategy used to eliminate the tonal characteristics, therefore contributing to establish compliance with the applicable regulation and to alleviate the discomfort it causes to the human ear, consisted in superimposing to the substation noise a masking sound synthesized from “sounds of nature” with suitable intensities, to flatten the noise spectrum while enhancing the soundscape. The masking system (heavy-duty speakers powered by a microprocessor platform) was validated at an already judicialized urban scenario. Measurement results confirmed that the masking solution was capable of flattening the tonal frequencies, whose beneficial effect yielded the cancellation of the public civil action filed by the neighbors. The proposed solution is ready to be replicated in other scenarios.

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