A versatile, automated, cost-effective testing platform for hands-on UHF RFID measurements

2019 ◽  
Author(s):  
Niklas Beuster ◽  
Alexander Ihlow ◽  
Kurt Blau ◽  
Johannes Trabert ◽  
Carsten Andrich ◽  
...  
Keyword(s):  
Cost Effective ◽  
Uhf Rfid ◽  
Testing Platform ◽  
Hands On

Meta-analysis and machine learning-augmented mixed effects cohort analysis of improved diets among 5,847 medical trainees, providers, and patients

2021 ◽  
pp. 1-27
Author(s):  
Dominique J. Monlezun ◽  
Christopher Carr ◽  
Tianhua Niu ◽  
Francesco Nordio ◽  
Nicole DeValle ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cohort Study ◽  
Nutrition Education ◽  
Meta Analysis ◽  
Cohort Analysis ◽  
Cost Effective ◽  
Number Needed To Treat ◽  
Nutrition Counseling ◽  
Medical Trainees ◽  
Hands On

Abstract Objective: We sought to produce the first meta-analysis (of medical trainee competency improvement in nutrition counseling) informing the first cohort study of patient diet improvement through medical trainees and providers counseling patients on nutrition. Design: (Part A) A systematic review and meta-analysis informing (Part B) the intervention analyzed in the world’s largest prospective multi-center cohort study on hands-on cooking and nutrition education for medical trainees, providers, and patients. Settings: (A) Medical educational institutions. (B) Teaching kitchens. Participants: (A) Medical trainees. (B) Trainees, providers, and patients. Results: (A) Of the 212 citations identified (N=1,698 trainees), 11 studies met inclusion criteria. The overall effect size was 9.80 (95%CI 7.15-12.456.87-13.85; p<0.001), comparable to the machine learning (ML)-augmented results. The number needed to treat for the top performing high quality study was 12. (B) The hands-on cooking and nutrition education curriculum from the top performing study was applied for medical trainees and providers who subsequently taught patients in the same curriculum (N=5,847). The intervention compared to standard medical care and education alone significantly increased the odds of superior diets (high/medium versus low Mediterranean diet adherence) for residents/fellows most (OR 10.79, 95%CI 4.94-23.58; p<0.001) followed by students (OR 9.62, 95%CI 5.92-15.63; p<0.001), providers (OR 5.19, 95%CI 3.23-8.32, p<0.001), and patients (OR 2.48, 95%CI 1.38-4.45; p=0.002), results consistent with those from ML. Conclusions: This study suggests that medical trainees and providers can improve patients’ diets with nutrition counseling in a manner that is clinically and cost effective and may simultaneously advance societal equity.

scholarly journals Returning knowledge to the community: an innovative approach to sharing knowledge about drinking water practices in a peri-urban community

2013 ◽  
Vol 3 (4) ◽  
pp. 629-637 ◽  
Author(s):  
C. Furlong ◽  
J. Tippett
Keyword(s):  
Drinking Water ◽  
Knowledge Exchange ◽  
Cost Effective ◽  
Building Capacity ◽  
Production Of Knowledge ◽  
Hands On ◽  
Household Bleach ◽  
Capacity For Change ◽  
Engineering Projects ◽  
Effective Water

During previous research into drinking water quality in Peru, it was found that water was becoming contaminated in households, and there was a lack of understanding surrounding this contamination. It was felt that returning these findings to the community could build capacity, enabling people to make more informed choices about drinking water practices. Several participatory methods were explored. Ketso®, a hands-on kit for engagement, was thought to provide the most appropriate approach, and was used to deliver several workshops in the community. Thirty-five participants explored their understanding of drinking water and factors that caused contamination. The method allowed them to explore these factors in depth and to develop several practical and simple solutions. One solution capitalized on a novel finding; participants associated the taste of chlorine with clean water, but were unaware that household bleach could be used as a cost-effective water treatment. Feedback was excellent, with Ketso seen as giving participants space to better understand and question their practices, whilst building capacity for change. This co-production of knowledge also allowed the researcher to gain a better understanding of local knowledge and perceptions. Such innovative knowledge exchange has important implications for future implementation of new water technologies and engineering projects.

scholarly journals Using UHF-RFID Signals for Robot Localization Inside Pipelines

2021 ◽  
Author(s):  
Amal Gunatilake ◽  
Karthick Thiyagarajan ◽  
sarath kodagoda ◽  
Lasitha Piyathilaka ◽  
Poojaben Darji
Keyword(s):  
Particle Filter ◽  
Cost Effective ◽  
Measurement Model ◽  
Underground Water ◽  
Water Utilities ◽  
Robot Localization ◽  
Uhf Rfid ◽  
Localization Accuracy ◽  
Feature Based ◽  
Particle Filter Algorithm

<div>Underground water pipes are important to any country’s infrastructure. Overtime, the metallic pipes are prone to corrosion, which can lead to water leakage and pipe bursts. In order to prolong the service life of those assets, water utilities in Australia apply protective pipe linings. Long-term monitoring and timely intervention are crucial for maintaining those lining assets. However, the water utilities do not possess the comprehensive technology to achieve it. The main reasons for lacking such technology are the unavailability of sensors and accurate robot localization technologies. Feature based localization methods such as SLAM has limited use as the application of liners alters the features and the environment. Encoder based localization is not accurate enough to observe the evolution of defects over a long period of time requiring unique defect correspondence. This motivates us to explore accurate contact-less and wireless based localization methods. We propose a cost-effective localization method using UHFRFID signals for robot localization inside pipelines based on Gaussian process combined particle filter. Experiments carried out in field extracted pipe samples from the Sydney water pipe network show that using the RSSI and Phase data together in the measurement model with particle filter algorithm improves the localization accuracy up to 15 centimeters precision.</div>

scholarly journals Teaching Helping Babies Breathe via Telehealth: A New Application in Rural Guatemala

2019 ◽  
Vol 4 (3) ◽  
pp. 1-6
Author(s):  
Caitlin Jones-Bamman ◽  
Susan Niermeyer ◽  
Kelly McConnell ◽  
John F. Thomas ◽  
Christina Olson
Keyword(s):  
Nursing Students ◽  
Neonatal Resuscitation ◽  
Cost Effective ◽  
Helping Babies Breathe ◽  
Life Saving ◽  
Percent Improvement ◽  
Hands On ◽  
Post Test ◽  
Course Material ◽  
Passing Scores

Background: Helping Babies Breathe (HBB) is a neonatal resuscitation curriculum that teaches life-saving interventions utilized in the first minutes after birth, reducing morbidity and mortality. Traditionally, it requires in-person facilitators for didactic and hands-on training. Objectives: The aim of this study was to offer HBB to nurses and nursing students in Guatemala, with the lead facilitator presenting concepts via telehealth and in-person facilitators providing hands-on demonstration. Methods: Learners completed pre- and post-tests that included the standard HBB knowledge check, as well as an assessment of the course teaching model. Learners also completed the standard Objective Structured Clinical Evaluations (OSCEs). Results: Eighteen learners were included in the analysis. All but one learner (94%) passed the course, and the average percent improvement from the pre- to post-test was 12%. All learners achieved passing scores on the OSCEs. Learners responded positively to questions regarding the technology, connection with the instructor, and ability to ask questions. Ninety-four percent of the learners agreed with the statement “this lecture was as good via telehealth as in person.” A cost analysis demonstrated approximately USD 3,979.00 in savings using telehealth compared to a standard in-person course. Conclusions: The telehealth model was successful in delivering course material to the learners and was well received. This model represents a cost-effective way to improve access to HBB. This study may not be generalizable to other populations, and the ability to use telehealth requires reliable internet connectivity, which may not be available in all settings. Further study and expansion of this pilot are needed to assess success in other settings.

scholarly journals Measurement system for over-the-air evaluation of UHF RFID tags quality

2016 ◽  
Vol 4 (1) ◽  
pp. 33-41 ◽  
Author(s):  
Riccardo Colella ◽  
Luca Catarinucci ◽  
Luciano Tarricone
Keyword(s):  
Radio Frequency Identification ◽  
Cost Effective ◽  
Automatic Identification ◽  
Rfid Tags ◽  
Uhf Rfid ◽  
Wireless Power ◽  
Measurement Systems ◽  
Frequency Identification ◽  
Selection Of

Radio-frequency identification (RFID) technology is a consolidated example of wireless power transfer system in which passive electromagnetic labels called tags are able to harvest electromagnetic energy from the reader antennas, power-up their internal circuitry and provide the automatic identification of objects. Being fully passive, the performance of RFID tags is strongly dependent on the context, so that the selection of the most suitable tag for the specific application becomes a key point. In this work, a cost-effective but accurate system for the over-the-air electromagnetic characterization of assembled UHF RFID tags is firstly presented and then validated through comparison with a consolidated and diffused measurement systems. Moreover, challenging use-cases demonstrating the usefulness of the proposed systems in analyzing the electromagnetic performance of label-type tags also when applied on different material or embedded into concrete structures have been carried out.

Report: 1996 Cost-Effective, Hands-On Chemistry Education Conference

1996 ◽  
Vol 73 (10) ◽  
pp. A236 ◽  
Author(s):  
Jeanne Murgado Dyer ◽  
Carol Chen ◽  
Patricia B. Strawbridge
Keyword(s):  
Chemistry Education ◽  
Cost Effective ◽  
Hands On ◽  
Education Conference

scholarly journals Generations of Software Engineering

2021 ◽  
Vol 9 (8) ◽  
pp. 1960-1962
Author(s):  
Archit Gupta
Keyword(s):  
Software Engineering ◽  
Coming Out ◽  
New Technologies ◽  
Cost Effective ◽  
Research Papers ◽  
Computer Languages ◽  
Hands On ◽  
The World ◽  
Day By Day

Abstract: Software Engineering has grown and developed from the 1960’s till now a lot as our knowledge and understanding of software is increasing day-by-day due to which software is becoming increasingly reliable and cost effective. Previous research was not able to express clearly how software engineering transitioned, how new technologies and services for software came to be known and were started using in the world of software engineering, decade or year wise. I use data from different websites and research papers to tell how software engineering has evolved along with the years with details about what happened in particular years, with respect to the corresponding decades. There are also details about manifestos and the developers of computer languages. The findings indicate that the software engineering field is vast and is still far from being fully developed, in a world where we have hands on every technology possible and hence new software’s and services are coming out on a regular basis now.

scholarly journals Measurement of Leaf Spot Disease Severity in Turmeric Plant

2020 ◽  
Vol 3 (12) ◽  
pp. 164-167
Author(s):  
Manjula R. Chougala ◽  
A. C. Ramachandra
Keyword(s):  
Image Processing ◽  
Leaf Spot ◽  
Cost Effective ◽  
Area Measurement ◽  
Leaf Spot Disease ◽  
Agriculture Sector ◽  
Major Constraint ◽  
Hands On ◽  
Infected Area ◽  
Colour Feature

Digital Image Processing (DIP) applications in agriculture sector is becoming popular because of its fast, cost-effective and accurate solutions related to diseases and marketing. The hands-on solutions are being provided through various applications. Leaf Sopot disease has become the major constraint in the turmeric cultivation in India. Colletotrichum capsici is a fungal disease commonly known as leaf Spot. The brown spots of 4-5 cm length and 2-3 cm width with a grey centre are found on either surface of the leaves. If not treated timely, it causes the heavy loss in terms of quality and quantity. This paper proposes the methodology using Image Processing for measuring the severity of this disease in plant pathology. The image acquisition of infected leaves is done in the first stage then the images are pre-processed. Histogram is used for colour feature extraction The Edge detection methodology is used for infected area measurement and the results are fed to disease classifier to identify the stage of disease. This helps the plant pathologist in preparing consultative module to eradicate the disease completely.

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