Current Work on Furnaces and Data Analysis to Improve the Uniformity and Noise Levels for Metal Fixed Points

2008 ◽  
Vol 30 (1) ◽  
pp. 296-305
Author(s):  
D. I. Head ◽  
J. Gray ◽  
M. de Podesta
Keyword(s):  
Data Analysis ◽  
Fixed Points ◽  
Current Work ◽  
Noise Levels

Data Documentation and Informed Consent in Research

2018 ◽  
pp. 127-154
Author(s):  
Dzever Linus Terry ◽  
Esan Adepeju Amudalat
Keyword(s):  
Data Analysis ◽  
Informed Consent ◽  
Information Sharing ◽  
Study Design ◽  
Current Work ◽  
Research Purpose ◽  
Future Research ◽  
Culturally Appropriate ◽  
User Friendliness ◽  
Data Documentation

This chapter examines data documentation and informed consent in research. The exercise of documenting data provides an opportunity for researchers to reflect on a study to guide current work and inform and enhance future research. The chapter explains data documentation, how data is created or digitized, what data mean, what their content and structure are and any data manipulations that may have taken place, specific steps for documenting data-based research beginning with the study design and ending with data analysis and guidelines for obtaining informed consent, developing culturally appropriate methods of sharing information for research purpose and discusses prevailing views on current controversies, ambiguities and problems with these guidelines and suggests potential solutions. The literature also includes many references to the need for data documentation and informed consent. Further research is needed to examine the validity and user friendliness of innovations in information sharing procedures for obtaining consent in different cultural settings.

scholarly journals Calibrating Range Measurements of Lidars Using Fixed Landmarks in Unknown Positions

2020 ◽  
Author(s):  
Anas Alhashimi ◽  
Martin Magnusson ◽  
Steffi Knorn ◽  
Damiano Varagnolo
Keyword(s):  
Fixed Points ◽  
Field Tests ◽  
Calibration Procedure ◽  
Light Detection And Ranging ◽  
Sensor Calibration ◽  
Inertial Reference Frame ◽  
Noise Levels ◽  
Calibration Problem ◽  
Distance Sensor ◽  
Additional Hardware

We consider the problem of calibrating distance measurement of Light Detection and Ranging (lidar) sensor without using additional hardware, but rather exploiting assumptions on the environment surrounding the sensor during the calibration procedure. More specifically we consider the assumption of calibrating the sensor by placing it in an environment so that its measurements lie in a 2D plane that is parallel to the ground, and so that its measurements come from fixed objects that develop orthogonally w.r.t. the ground, so that they may be considered as fixed points in an inertial reference frame. We moreover consider the intuition that moving the distance sensor within this environment implies that its measurements should be such that the relative distances and angles among the fixed points above remain the same. We thus exploit this intuition to cast the sensor calibration problem as making its measurements comply with this assumption that “fixed features shall have fixed relative distances and angles”. The resulting calibration procedure does thus not need to use additional (typically expensive) equipment, nor deploying special hardware. As for the proposed estimation strategies, from a mathematical perspective we consider models that lead to analytically solvable equations, so to enable deployment in embedded systems. Besides proposing the estimators we moreover analyse their statistical performance both in simulation and with field tests, reporting thus the dependency of the MSE performance of the calibration procedure as a function of the sensor noise levels, and observing that in field tests the approach can lead to a ten-fold improvement in the accuracy of the raw measurements.

scholarly journals Calibrating Range Measurements of Lidars Using Fixed Landmarks in Unknown Positions

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 155
Author(s):  
Anas Alhashimi ◽  
Martin Magnusson ◽  
Steffi Knorn ◽  
Damiano Varagnolo
Keyword(s):  
Fixed Points ◽  
Field Tests ◽  
Calibration Procedure ◽  
Light Detection And Ranging ◽  
Sensor Calibration ◽  
Noise Levels ◽  
Range Measurements ◽  
Calibration Problem ◽  
Dependent Measurement ◽  
Distance Sensor

We consider the problem of calibrating range measurements of a Light Detection and Ranging (lidar) sensor that is dealing with the sensor nonlinearity and heteroskedastic, range-dependent, measurement error. We solved the calibration problem without using additional hardware, but rather exploiting assumptions on the environment surrounding the sensor during the calibration procedure. More specifically we consider the assumption of calibrating the sensor by placing it in an environment so that its measurements lie in a 2D plane that is parallel to the ground. Then, its measurements come from fixed objects that develop orthogonally w.r.t. the ground, so that they may be considered as fixed points in an inertial reference frame. Moreover, we consider the intuition that moving the distance sensor within this environment implies that its measurements should be such that the relative distances and angles among the fixed points above remain the same. We thus exploit this intuition to cast the sensor calibration problem as making its measurements comply with this assumption that “fixed features shall have fixed relative distances and angles”. The resulting calibration procedure does thus not need to use additional (typically expensive) equipment, nor deploy special hardware. As for the proposed estimation strategies, from a mathematical perspective we consider models that lead to analytically solvable equations, so to enable deployment in embedded systems. Besides proposing the estimators we moreover analyze their statistical performance both in simulation and with field tests. We report the dependency of the MSE performance of the calibration procedure as a function of the sensor noise levels, and observe that in field tests the approach can lead to a tenfold improvement in the accuracy of the raw measurements.

scholarly journals Measuring noise in classrooms: a systematic review

CoDAS ◽  
2014 ◽  
Vol 26 (2) ◽  
pp. 155-158 ◽  
Author(s):  
Vanessa Luisa Destro Fidêncio ◽  
Adriane Lima Mortari Moret ◽  
Regina Tangerino de Souza Jacob
Keyword(s):  
Systematic Review ◽  
Data Analysis ◽  
Descriptive Analysis ◽  
Sound Level ◽  
Sound Level Meter ◽  
Noisy Environment ◽  
Inclusion Criteria ◽  
Noise Levels ◽  
Acoustic Adaptation ◽  
Level Meter

PURPOSE: The aim of this systematic review is to outline the main methodologies used for measuring noise in classrooms and if the noise levels found are suitable standards. METHODS: A survey of articles published in the last ten years, using six different databases. Were verified 1.088 publications and only eight studies met the inclusion criteria: (a) articles published in the last ten years, (b) articles available in full, (c) studies that have measured the noise in the classrooms of regular schools. Data analysis: descriptive analysis was performed of selected publications. RESULTS: Five studies conducted to measure the noise using a sound level meter. One measurement performed using a dosimeter and two studies used a laptop with audio recording software. In all classrooms, the noise level was higher than allowed. CONCLUSION: Classrooms are noisy environment and there is no standardization regarding the methodology that should be used to measure the noise in these places. Therefore, schools need to be guided constantly about the importance of acoustic adaptation in the classroom.

scholarly journals Defects Avoidance in E-commerce Projects using Rayleigh Method

2019 ◽  
Vol 8 (4) ◽  
pp. 11777-11784
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Development Process ◽  
User Acceptance ◽  
Current Work ◽  
Acceptance Test ◽  
Data Discovery ◽  
Latent Defects ◽  
Rayleigh Method ◽  
The Cost

With the advent of e-commerce business, many software providers have started developing e-commerce solutions. However, the emphasis has to be given on developing defect free e-commerce portals. The current work is produced based on quantitative analysis done on five e-commerce projects. The defect data (discovery, fix and regression) are fed into the development process of the subsequent projects that helped in preventing the similar defects. A data analysis is done using Rayleigh Method to estimate the number of latent defects which may seep to the customers. This enabled in reduction in the count of User Acceptance Test defects, in the projects developed subsequently there by greatly decreasing the cost of development.

scholarly journals ASPI experiment: measurements of fields and waves on board the INTERBALL-1 spacecraft

1997 ◽  
Vol 15 (5) ◽  
pp. 514-527 ◽  
Author(s):  
S. Klimov ◽  
S. Romanov ◽  
E. Amata ◽  
J. Blecki ◽  
J. Büchner ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Data Analysis ◽  
Plasma Waves ◽  
Field Vector ◽  
Low Noise ◽  
Plasma Current ◽  
Electric Field Vector ◽  
Noise Levels ◽  
Ac Electric Field ◽  
Flux Gate

Abstract. The plasma-wave experiment ASPI (analysis of spectra of plasma waves and instabilities) on board the INTERBALL spacecraft is a combined wave diagnostics experiment. It performs measurements of the DC and AC magnetic field vector by flux-gate and search-coil sensors, the DC and AC electric field vector by Langmuir double probes and the plasma current by Langmuir split probe. Preliminary data analysis shows the low noise levels of the sensors and the compatibility of new data with the results of previous missions. During several months of in-orbit operation a rich collection of data was acquired, examples of which at the magnetopause and plasma sheet are presented in second part of the paper.

scholarly journals Screening of Anticancer Drugs as Potential Candidates to Target COVID-19 Disease

2020 ◽  
Author(s):  
Gayatri Gurjar
Keyword(s):  
Molecular Docking ◽  
Data Analysis ◽  
Anticancer Drugs ◽  
Anticancer Agents ◽  
Current Work ◽  
Validation Methods ◽  
Biological Validation ◽  
The World ◽  
Potential Inhibitors

The current work was focused on predicting the potential of several anticancer drugs as potential inhibitors of COVID-19 disease. The work was accoplished using molecular docking performed using SwissDock tool. Information about COVID-19 proteins and anticancer drugs from databases like PDB, PubChem and Drugbank has been incorporated appropriately in the manuscript. Data analysis has revealed some highly promising anticancer drugs which can further be critically analyzed through both computational and biological validation methods.<div>This work was intended to support the urgent need of finding drugs/remedies against COVID-19. The results can be a foundation for other researchers around the world to further validate/test these anticancer agents against the pathogen. </div>

scholarly journals Screening of Anticancer Drugs as Potential Candidates to Target COVID-19 Disease

2020 ◽  
Author(s):  
Gayatri Gurjar
Keyword(s):  
Molecular Docking ◽  
Data Analysis ◽  
Anticancer Drugs ◽  
Anticancer Agents ◽  
Current Work ◽  
Validation Methods ◽  
Biological Validation ◽  
The World ◽  
Potential Inhibitors

The current work was focused on predicting the potential of several anticancer drugs as potential inhibitors of COVID-19 disease. The work was accoplished using molecular docking performed using SwissDock tool. Information about COVID-19 proteins and anticancer drugs from databases like PDB, PubChem and Drugbank has been incorporated appropriately in the manuscript. Data analysis has revealed some highly promising anticancer drugs which can further be critically analyzed through both computational and biological validation methods.<div>This work was intended to support the urgent need of finding drugs/remedies against COVID-19. The results can be a foundation for other researchers around the world to further validate/test these anticancer agents against the pathogen. </div>

scholarly journals Using machine learning algorithms to measure stellar magnetic fields

2018 ◽  
Vol 619 ◽  
pp. A22 ◽  
Author(s):  
J. C. Ramírez Vélez ◽  
C. Yáñez Márquez ◽  
J. P. Córdova Barbosa
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Magnetic Fields ◽  
Learning Algorithms ◽  
Synthetic Data ◽  
Machine Learning Algorithms ◽  
Line Profiles ◽  
Noise Levels ◽  
Regression Methods ◽  
Stellar Magnetic Fields

Context.Regression methods based on machine learning algorithms (MLA) have become an important tool for data analysis in many different disciplines.Aims.In this work, we use MLA in an astrophysical context; our goal is to measure the mean longitudinal magnetic field in stars (Heff) from polarized spectra of high resolution, through the inversion of the so-called multi-line profiles.Methods.Using synthetic data, we tested the performance of our technique considering different noise levels: In an ideal scenario of noise-free multi-line profiles, the inversion results are excellent; however, the accuracy of the inversions diminish considerably when noise is taken into account. We therefore propose a data pre-process in order to reduce the noise impact, which consists of a denoising profile process combined with an iterative inversion methodology.Results.Applying this data pre-process, we find a considerable improvement of the inversions results, allowing to estimate the errors associated to the measurements of stellar magnetic fields at different noise levels.Conclusions.We have successfully applied our data analysis technique to two different stars, attaining for the first time the measurement ofHefffrom multi-line profiles beyond the condition of line autosimilarity assumed by other techniques.

scholarly journals ANALISIS KEPUASAN WISATAWAN NUSANTARA BERBELANJA DI KRISNA OLEH-OLEH KHAS BALI

Jurnal IPTA ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 152
Author(s):  
Yosia Nanda Anggriawan ◽  
NMS. Wijaya ◽  
LGLK. Dewi
Keyword(s):  
Data Analysis ◽  
Statistical Data ◽  
Marketing Mix ◽  
Sampling Techniques ◽  
Noise Levels ◽  
Literature Study ◽  
Analysis Techniques ◽  
Average Value ◽  
Analyze Data ◽  
Domestic Tourist

The purpose of this study was to find out the satisfaction of shopping for domestic tourist at Krisna Oleh-Oleh Khas Bali. Based on statistical data, domestic tourists who choose shopping tourism activities and allocation of expenditure to buy souvenirs while on vacation to Bali ranks in the second place. Data were collected by observation, questionnaire, documentation, and literature study using accidental & purposive sampling techniques with a total of 100 respondents. To analyze data, the data analysis techniques used are validity, reliability, expectation and satisfaction. Measurements are made with three factors that influence the satisfaction of the tourist shopping of the domestic tourist in Krisna Oleh-Oleh Khas Bali. The three factors are in-store, out-store, and marketing mix and the average value of expectation is 4.14 which is in the important category, then the average value of the performance level of 3.81 is in the good category. From the results of the level of expectation and level of performance, the suitability level of 92.4% is categorized as less satisfied, which means that the domestic tourists who shop at Krisna Oleh-Oleh Khas Bali feel less satisfied. There are 7 indicators that are a priority in Krisna Oleh-Oleh Khas Bali to be improved, the indicators are the in-store scent, food court cleanliness, food court comfort, waiting area comfort, noise levels, special offers or discounts, and prices. The advice that can be given to Krisna Oleh-Oleh Khas Bali is to improve the performance that is deemed lacking like the priority already mentioned.

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