Automatic Assessment of Quality of your Data for AI

2022 ◽  
Author(s):  
Hima Patel ◽  
Nitin Gupta ◽  
Naveen Panwar ◽  
Ruhi Sharma Mittal ◽  
Sameep Mehta ◽  
...  
Keyword(s):  
Automatic Assessment

scholarly journals The design of RIP belts impacts the reliability and quality of the measured respiratory signals

2021 ◽  
Author(s):  
Kristofer Montazeri ◽  
Sigurdur Aegir Jonsson ◽  
Jon Skirnir Agustsson ◽  
Marta Serwatko ◽  
Thorarinn Gislason ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Sleep Apnea ◽  
Automatic Assessment ◽  
Signal Reliability ◽  
Respiratory Airflow ◽  
Flow Quality ◽  
The Mean ◽  
Home Sleep Apnea Testing ◽  
Apnea Testing

Abstract Purpose Evaluate the effect of respiratory inductance plethysmography (RIP) belt design on the reliability and quality of respiratory signals. A comparison of cannula flow to disposable cut-to-fit, semi-disposable folding and disposable RIP belts was performed in clinical home sleep apnea testing (HSAT) studies. Methods This was a retrospective study using clinical HSAT studies. The signal reliability of cannula, thorax, and abdomen RIP belts was determined by automatically identifying periods during which the signals did not represent respiratory airflow and breathing movements. Results were verified by manual scoring. RIP flow quality was determined by examining the correlation between the RIP flow and cannula flow when both signals were considered reliable. Results Of 767 clinical HSAT studies, mean signal reliability of the cut-to-fit, semi-disposable, and disposable thorax RIP belts was 83.0 ± 26.2%, 76.1 ± 24.4%, and 98.5 ± 9.3%, respectively. The signal reliability of the cannula was 92.5 ± 16.1%, 87.0 ± 23.3%, and 85.5 ± 24.5%, respectively. The automatic assessment of signal reliability for the RIP belts and cannula flow had a sensitivity of 50% and a specificity of 99% compared with manual assessment. The mean correlation of cannula flow to RIP flow from the cut-to-fit, semi-disposable, and disposable RIP belts was 0.79 ± 0.24, 0.52 ± 0.20, and 0.86 ± 0.18, respectively. Conclusion The design of RIP belts affects the reliability and quality of respiratory signals. The disposable RIP belts that had integrated contacts and did not fold on top of themselves performed the best. The cut-to-fit RIP belts were most likely to be unreliable, and the semi-disposable folding belts produced the lowest-quality RIP flow signals compared to the cannula flow signal.

scholarly journals A Machine Vision Rapid Method to Determine the Ripeness Degree of Olive Lots

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2940
Author(s):  
Luciano Ortenzi ◽  
Simone Figorilli ◽  
Corrado Costa ◽  
Federico Pallottino ◽  
Simona Violino ◽  
...  
Keyword(s):  
Machine Vision ◽  
Nearest Neighbors ◽  
Calibration Method ◽  
Mobile App ◽  
Harvest Time ◽  
Automatic Assessment ◽  
K Nearest Neighbors ◽  
Olive Ripeness ◽  
Olive Ripening

The degree of olive maturation is a very important factor to consider at harvest time, as it influences the organoleptic quality of the final product, for both oil and table use. The Jaén index, evaluated by measuring the average coloring of olive fruits (peel and pulp), is currently considered to be one of the most indicative methods to determine the olive ripening stage, but it is a slow assay and its results are not objective. The aim of this work is to identify the ripeness degree of olive lots through a real-time, repeatable, and objective machine vision method, which uses RGB image analysis based on a k-nearest neighbors classification algorithm. To overcome different lighting scenarios, pictures were subjected to an automatic colorimetric calibration method—an advanced 3D algorithm using known values. To check the performance of the automatic machine vision method, a comparison was made with two visual operator image evaluations. For 10 images, the number of black, green, and purple olives was also visually evaluated by these two operators. The accuracy of the method was 60%. The system could be easily implemented in a specific mobile app developed for the automatic assessment of olive ripeness directly in the field, for advanced georeferenced data analysis.

scholarly journals POSSIBILITIES OF ULTRASONIC MONITORING OF ENDOMETRIUM AND OVARIES IN PATIENTS AFTER CANCELLATION OF LONG-TERM RECEPTION OF COMBINED ORAL CONTRACEPTIVES WHEN PLANNING PREGNANCY

2019 ◽  
Vol 6 (4) ◽  
pp. 215-220
Author(s):  
Sh. N Bortsvadze ◽  
Evgeniya A. Svidinskaya ◽  
T. A Dzhibladze ◽  
I. D Khokhlova ◽  
Yan Van
Keyword(s):  
Menstrual Cycle ◽  
Oral Contraceptives ◽  
Ovarian Tissue ◽  
Hormonal Contraception ◽  
Reproductive Function ◽  
Good Health ◽  
Automatic Assessment ◽  
Normal Limits ◽  
Ultrasound Diagnostics

The article aims to assess the possibility of ultrasound scanning and dopplerstudy in the assessment of the condition of the ovaries and endometrial in patients after long intake of COC, predicting the restoration of reproductive function after the abolition of hormonal contraception. Material and methods. In 2018-2019, 37 women were examined after the abolition of oral contraceptives, which they took for a long period of time. At the time of the examination, all the patients stopped taking COC at least 2 months ago due to the fact that they were planning a pregnancy. UW the study was conducted on the apparat Voluson E8 Expert (General Electric), improving the quality of diagnostics used Automatic assessment of follicle condition based on ultrasonic echography (Sono AVCTM follicle) and tomographic ultrasound (TUI). Results. According to the study significant changes recorded 17 patients whose menstrual cycle did not recover within the first 6 months after the cancellation of COC. In a group of 20 patients with a regular menstrual cycle, the results of the study were within normal limits, pregnancy within 6 months occurred on their own in 8 of them. Conclusion. The possibilities of 3 dimensional reconstruction and programs for evaluating the follicular apparatus significantly improve the quality of ultrasound diagnostics, give more information about the presence of small follicles, blood flow in the ovarian tissue, the structure of the cortical apparatus substances and stroma, whichis the ability of a clinician to obtain a complete understanding of the condition of the ovaries and endometrial and predicting a good health of patients. The article may be of interest to obstetricians-gynecologists, ultrasound specialists, endocrinologists, reproductive specialists.

scholarly journals Automatic Assessment of Prosodic Quality in Down Syndrome: Analysis of the Impact of Speaker Heterogeneity

2019 ◽  
Vol 9 (7) ◽  
pp. 1440 ◽  
Author(s):  
Mario Corrales-Astorgano ◽  
Pastora Martínez-Castilla ◽  
David Escudero-Mancebo ◽  
Lourdes Aguilar ◽  
César González-Ferreras ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Video Game ◽  
Relative Weight ◽  
Assessment System ◽  
Developmental Level ◽  
Prosodic Features ◽  
Automatic Assessment ◽  
Speaker Variability ◽  
The Impact

Prosody is a fundamental speech element responsible for communicative functions such as intonation, accent and phrasing, and prosodic impairments of individuals with intellectual disabilities reduce their communication skills. Yet, technological resources have paid little attention to prosody. This study aims to develop an automatic classifier to predict the prosodic quality of utterances produced by individuals with Down syndrome, and to analyse how inter-individual heterogeneity affects assessment results. A therapist and an expert in prosody judged the prosodic appropriateness of a corpus of Down syndrome’ utterances collected through a video game. The judgments of the expert were used to train an automatic classifier that predicts prosodic quality by using a set of fundamental frequency, duration and intensity features. The classifier accuracy was 79.3% and its true positive rate 89.9%. We analyzed how informative each of the features was for the assessment and studied relationships between participants’ developmental level and results: interspeaker variability conditioned the relative weight of prosodic features for automatic classification and participants’ developmental level was related to the prosodic quality of their productions. Therefore, since speaker variability is an intrinsic feature of individuals with Down syndrome, it should be considered to attain an effective automatic prosodic assessment system.

Method and algorithm of automatic color rendition quality assessment of digital aerial and space photos

2018 ◽  
Vol 937 (7) ◽  
pp. 45-56
Author(s):  
I.A. Anikeeva
Keyword(s):  
Quality Assessment ◽  
Experimental Verification ◽  
Experimental Check ◽  
Automatic Assessment ◽  
Assessment Criterion ◽  
Space Images ◽  
Quality Research ◽  
Research Problems ◽  
Method Of Assessment

Today the photographic quality assessment of aerial and space images is made visually, with a big deal of subjectivity. The main problems are the lack of parameters characterizing the photographic quality of images and the lack of methods for determining these parameters. The correctness of color rendition is one of the most important indicators of the photographic aerial and space images’ quality. Research problems included the developing methods for determining the color imbalance of digital images; developing the assessment criterion of color imbalance and a method of its calculation; as well as the experimental verification of the suggested method by correcting the color balance of an image. The article describes the algorithm for automatic color imbalance detection of a digital image that enables searching pixels as parts of gray field areas of an image; the value of a color imbalance is estimated by selected gray pixels. One of the most important indicators of the photographic quality of aerial and space images was determined, it is the color imbalance expressed numerically. The method of automatic assessment of color rendition correctness is offered, the criterion of estimation of color imbalance of the photographic image and a method of its calculation is specified, results of the experimental check of the offered method of assessment of color rendition correctness are given.

scholarly journals Evaluation of an Algorithm for Automatic Grading of Forum Messages in MOOC Discussion Forums

2021 ◽  
Vol 13 (16) ◽  
pp. 9364
Author(s):  
Raquel L. Pérez-Nicolás ◽  
Carlos Alario-Hoyos ◽  
Iria Estévez-Ayres ◽  
Pedro Manuel Moreno-Marcos ◽  
Pedro J. Muñoz-Merino ◽  
...  
Keyword(s):  
Online Courses ◽  
Research Work ◽  
Massive Open Online Courses ◽  
Three Dimensions ◽  
Future Research ◽  
Discussion Forums ◽  
Automatic Assessment ◽  
Automatic Grading ◽  
The Impact

Discussion forums are a valuable source of information in educational platforms such as Massive Open Online Courses (MOOCs), as users can exchange opinions or even help other students in an asynchronous way, contributing to the sustainability of MOOCs even with low interaction from the instructor. Therefore, the use of the forum messages to get insights about students’ performance in a course is interesting. This article presents an automatic grading approach that can be used to assess learners through their interactions in the forum. The approach is based on the combination of three dimensions: (1) the quality of the content of the interactions, (2) the impact of the interactions, and (3) the user’s activity in the forum. The evaluation of the approach compares the assessment by experts with the automatic assessment obtaining a high accuracy of 0.8068 and Normalized Root Mean Square Error (NRMSE) of 0.1799, which outperforms previous existing approaches. Future research work can try to improve the automatic grading by the training of the indicators of the approach depending on the MOOCs or the combination with text mining techniques.

scholarly journals AUTOMATIC ASSESSMENT OF ACQUISITION AND TRANSMISSION LOSSES IN INDIAN REMOTE SENSING SATELLITE DATA

2016 ◽  
Vol III-1 ◽  
pp. 129-133
Author(s):  
D. Roy ◽  
B. Purna Kumari ◽  
M. Manju Sarma ◽  
N. Aparna ◽  
B. Gopal Krishna
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Drop Out ◽  
Automatic Assessment ◽  
Quality Estimation ◽  
Raw Data ◽  
Ground Station ◽  
Product Generation ◽  
Line Loss

The quality of Remote Sensing data is an important parameter that defines the extent of its usability in various applications. The data from Remote Sensing satellites is received as raw data frames at the ground station. This data may be corrupted with data losses due to interferences during data transmission, data acquisition and sensor anomalies. Thus it is important to assess the quality of the raw data before product generation for early anomaly detection, faster corrective actions and product rejection minimization. Manual screening of raw images is a time consuming process and not very accurate. In this paper, an automated process for identification and quantification of losses in raw data like pixel drop out, line loss and data loss due to sensor anomalies is discussed. Quality assessment of raw scenes based on these losses is also explained. This process is introduced in the data pre-processing stage and gives crucial data quality information to users at the time of browsing data for product ordering. It has also improved the product generation workflow by enabling faster and more accurate quality estimation.

scholarly journals Automatic assessment of the quality of G-banded metaphases A preliminary study

1992 ◽  
Vol 33 (SUPPLEMENT) ◽  
pp. 152-158 ◽  
Author(s):  
CLAES LUNDSTEEN ◽  
JAN MAAHR ◽  
AND TOMMY GERDES
Keyword(s):  
Automatic Assessment ◽  
Preliminary Study
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