Measurement of Sit-Stand Desk Usage by Desk-Mounted Sensors

Ergonomics in Design The Quarterly of Human Factors Applications ◽

10.1177/1064804620947630 ◽

2020 ◽

pp. 106480462094763

Author(s):

Daniel Viggiani ◽

Jeffery M. Barrett ◽

Eric Will ◽

Jack P. Callaghan

Keyword(s):

Logistic Model ◽

Accuracy Rate ◽

Work Activities ◽

Prolonged Sitting ◽

Component Testing ◽

User Behaviors

Quantifying user behaviors at sit-stand desks is critical to understanding the efficacy of these workstations to reduce exposures to prolonged sitting or standing. A custom after-market desk-mounted sensor predicting sit-stand desk use by measuring desk floor heights, desk user distances, and the temperature in front of the desk was tested. We performed sensor component testing, a survey of desk height ranges, and a logistic model to estimate gross posture and user presence with a 95.6% accuracy rate. This approach can aid researchers and ergonomists in understanding sit-stand desk use in the field, with the end goal of reducing sedentary work activities.

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Predictive Models for Pre-Operative Diagnosis of Rotator Cuff Tear: A Comparison Study of Two Methods between Logistic Regression and Artificial Neural Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.595.263 ◽

2014 ◽

Vol 595 ◽

pp. 263-268

Author(s):

Chen Chiang Lin ◽

Hsin Hui Chan ◽

Chen Yuan Huang ◽

Nang Shu Yang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Logistic Regression ◽

Rotator Cuff ◽

Logistic Model ◽

Predictive Accuracy ◽

Rotator Cuff Tears ◽

Comparison Study ◽

Accuracy Rate ◽

Artificial Neural

Rotator cuff tears are the most common disorder of the shoulders.agnetic resonance Image (MRI) is the diagnostic gold standard of rotator cuff tears. However, there are some dilemmas in the rotator cuff tears treatment. Clinically, surgical results of rotator cuff tears are sometimes different from MRI results of rotator cuff tears. The main purpose of this study is to build up predicative models for pre-operative diagnosis of rotator cuff tears There are two models of this study are proposed: logistic regression model and artificial neural network model. Patients are divided into two sets: Set1 is patients with full thickness rotators cuff tears. Set 2 is patients with partial thickness rotators cuff tears. The charts of 158 patients are completely reviewed and the collected data were analyzed. The results showed that the predictive accuracy of artificial neural networks model is higher than the predictive accuracy of logistic model. The application of this study can assist doctors to increase the accuracy rate of pre-operative diagnosis and to decrease the legal problems.

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Aplikasi Persamaan Diferensial Dalam Mengestimasi Jumlah Penduduk dengan Menggunakan Model Eksponensial dan Logistik

Griya Journal of Mathematics Education and Application ◽

10.29303/griya.v1i1.7 ◽

2021 ◽

Vol 1 (1) ◽

pp. 44-55

Author(s):

Nasrun Rozikin ◽

Ketut Sarjana ◽

Arjudin Arjudin ◽

Nurul Hikmah

Keyword(s):

Population Growth ◽

Logistic Model ◽

Research Result ◽

Logistic Models ◽

Exponential Model ◽

Accuracy Rate ◽

Average Decrease ◽

Descriptive Research ◽

The Subject ◽

The City

This research was aimed to describe the application of differential equations of the population growth model in the City of Mataram, which is an exponential and logistic models for estimating the population of the City of Mataram in 2024. The research method used in this research is descriptive research with a qualitative approach carried out by observation and analyze the subject. The subject of this research was data on the population of the City of Mataram from 2006 to 2019. Meanwhile, to determine the accuracy and validity of the research data, the triangulation of sources was used. The data used comes from the Dispendukcapil and BPS the City of Mataram. The research result, it shows that the exponential model has an accuracy rate of 99,6%, which is very accurate, while for estimating with a logistic model each criterion is very accurate but the confidence level is 97,9%. Estimation results also show that population growth in the city of Mataram in the future will slowdown in its growth every 2 years, with an average decrease of 0.5%.

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