Voice field measurements—a new method of examination: the influence of hearing on the human voice

2004 ◽  
Vol 18 (2) ◽  
pp. 209-215 ◽  
Author(s):  
Mojmı́r Lejska
Keyword(s):  
Field Measurements ◽  
New Method ◽  
Human Voice

A New Method of Field Measurements for Small-Aperture Magnets

1991 ◽  
Vol 30 (Part 1, No. 9A) ◽  
pp. 2082-2084
Author(s):  
Mitsuo Kikuchi ◽  
Hisayoshi Nakayama
Keyword(s):  
Field Measurements ◽  
New Method ◽  
Small Aperture

Prediction of forest stem volume using kriging adapted to detected edges

2002 ◽  
Vol 32 (3) ◽  
pp. 509-518 ◽  
Author(s):  
Jörgen Wallerman ◽  
Steve Joyce ◽  
Coomaren P Vencatasawmy ◽  
Håkan Olsson
Keyword(s):  
Interpolation Method ◽  
Image Data ◽  
Field Measurements ◽  
Spatial Prediction ◽  
Detection Algorithm ◽  
New Method ◽  
Planning System ◽  
Stem Volume ◽  
Landsat Tm Image ◽  
Very High Spatial Resolution

The modern techniques of the global positioning system and geographic information system enable many new approaches to forestry planning problems. Using these it is possible to efficiently geoposition, store, and analyze each field measurement in a spatial context. This work is directed towards the application of a dynamic forestry planning system based on a forest map with very high spatial resolution created from geopositioned field plot data, instead of the traditional forest stand map. The new dynamic system is dependent on accurate methods to create a high-resolution map from a set of field measurements. This problem may be solved using the kriging spatial prediction (interpolation) method. The aim of this paper is to present and empirically evaluate a new kriging method side-by-side with global and stratified kriging. The new method uses the output from an edge-detection algorithm, here applied to Landsat TM image data, to increase the prediction accuracy. Prediction evaluation was made in terms of mean forest stem volume per hectare measured on circular field plots of 10 m radius. The new method showed a prediction root mean square error of 41% of the mean volume, compared with corresponding results of global, 58%, and stratified kriging, 45%.

scholarly journals Voice Recognition System Through Machine Learning

2019 ◽  
Vol 8 (10) ◽  
pp. 4478-4483
Keyword(s):  
Machine Learning ◽  
Supervised Learning ◽  
Learning Algorithm ◽  
Voice Recognition ◽  
Recognition System ◽  
New Method ◽  
Human Voice ◽  
Developing Area ◽  
Voice Processing ◽  
The Voice

Human voice recognition by computers has been ever developing area since 1952. It is challenging task for a computer to understand and act according to human voice rather than to commands or programs. The reason is that no two human’s voice or style or pitch will be similar and every word is not pronounced by everyone in a similar fashion. Background noises and disturbances may confuse the system. The voice or accent of the same person may change according to the user’s mood, situation, time etc. despite of all these challenges, voice recognition and speech to text conversion has reached a successful stage. Voice processing technology deserves still more research. As a tip of iceberg of this research we contribute our work on this are and we propose a new method i.e., VRSML (Voice Recognition System through Machine Learning) mainly focuses on Speech to text conversion, then analyzing the text extracted from speech in the form of tokens through Machine Learning. After analyzing the derived text, reports are created in textual as well graphical format to represent the vocabulary levels used in that speech. As Supervised learning algorithm from Machine Learning is employed to classify the tokens derived from text, the reports will be more accurate and will be generated faster.

scholarly journals Laue-DIC: a new method for improved stress field measurements at the micrometer scale

2015 ◽  
Vol 22 (4) ◽  
pp. 980-994 ◽  
Author(s):  
J. Petit ◽  
O. Castelnau ◽  
M. Bornert ◽  
F. G. Zhang ◽  
F. Hofmann ◽  
...  
Keyword(s):  
Standard Technique ◽  
Field Measurements ◽  
European Synchrotron Radiation Facility ◽  
Image Correlation ◽  
New Method ◽  
Polycrystalline Materials ◽  
Element Analysis ◽  
Analytical Functions ◽  
Local Stresses ◽  
Micrometer Scale

A better understanding of the effective mechanical behavior of polycrystalline materials requires an accurate knowledge of the behavior at a scale smaller than the grain size. The X-ray Laue microdiffraction technique available at beamline BM32 at the European Synchrotron Radiation Facility is ideally suited for probing elastic strains (and associated stresses) in deformed polycrystalline materials with a spatial resolution smaller than a micrometer. However, the standard technique used to evaluate local stresses from the distortion of Laue patterns lacks accuracy for many micromechanical applications, mostly due to (i) the fitting of Laue spots by analytical functions, and (ii) the necessary comparison of the measured pattern with the theoretical one from an unstrained reference specimen. In the present paper, a new method for the analysis of Laue images is presented. A Digital Image Correlation (DIC) technique, which is essentially insensitive to the shape of Laue spots, is applied to measure the relative distortion of Laue patterns acquired at two different positions on the specimen. The new method is tested on anin situdeformed Si single-crystal, for which the prescribed stress distribution has been calculated by finite-element analysis. It is shown that the new Laue-DIC method allows determination of local stresses with a strain resolution of the order of 10−5.

scholarly journals BEACH SLOPES FROM SATELLITE-DERIVED SHORELINES

2020 ◽  
pp. 36
Author(s):  
Kilian Vos ◽  
Mitchell D. Harley ◽  
Kristen D. Splinter ◽  
Andrew Walker ◽  
Ian L. Turner
Keyword(s):  
Optical Imaging ◽  
Satellite Altimetry ◽  
Critical Parameter ◽  
Spatial Scales ◽  
Field Measurements ◽  
New Method ◽  
Flood Modelling ◽  
Coastal Flood ◽  
Eastern Australia ◽  
Scientists And Engineers

The slope of the beach face is a critical parameter for coastal scientists and engineers studying sandy coastlines. However, despite its importance for coastal applications (engineering formulations, coastal flood modelling, swimming safety), it remains extremely difficult to obtain reliable estimates of the beachface slope over large spatial scales (hundreds to thousands of km of coastline). This presentation describes a new method to estimate the beach-face slope exclusively from space-borne observations: shoreline positions derived from publicly available optical imaging satellites and tide heights from satellite altimetry. This new technique is first validated against field measurements and then applied across hundreds of beaches in eastern Australia and California, USA (data available at http://coastsat.wrl.unsw.edu.au/).Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/U9zMbFX4gPk

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