A Multiple Classification Model for the Prediction of Work-Related Musculoskeletal Disorder
Amadi Chimeremma Sandra,
John-Otumu Adetokunbo Macgregor,
Eze Peter Uchenna
Issue:
Volume 11, Issue 1, February 2022
Pages:
1-6
Received:
3 December 2021
Accepted:
23 December 2021
Published:
8 January 2022
Abstract: In recent times, musculoskeletal disorders (MSD) represent one of the most common and expensive occupational health problems in both developed and developing countries. Work-related musculoskeletal disorders (WRMSD) are impairments that are mostly caused by the workplace and immediate environment. A two-step predictive model is introduced here using KNN and Decision tree machine learning algorithms. This model for predicting WRMSD enables for early detection and correction of upper and lower back disorders, carpal tunnel syndrome and other WRMSD disorders associated with office workers. Key informant interview technique, observation of previous methods, online repository and published related works were used in data gathering. In training the model, 80% of the dataset was used while 20% was used for testing the model to prevent overfitting using python programming language. JavaScript, Hypertext preprocessor (PHP), Hypertext Markup Language (HTML), Cascading Stylesheet (CSS) and MySQL were also used to develop the front and backend of the application. The result revealed that the proposed model had 90.44% accuracy, 92.71% Recall (sensitivity), 97.16% precision, and 94.88% F1-Score. The proposed model, however, makes it easy for multiple classifications in other to predict both present and future risk of WRMSD. Performance is estimated to have high accuracy, recall, precision and f1 score in comparison to other existing algorithms.
Abstract: In recent times, musculoskeletal disorders (MSD) represent one of the most common and expensive occupational health problems in both developed and developing countries. Work-related musculoskeletal disorders (WRMSD) are impairments that are mostly caused by the workplace and immediate environment. A two-step predictive model is introduced here usin...
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Radial Casting Algorithm for Extraction of Man-Made Features from High Resolution Digital Satellite Imagery
Issue:
Volume 11, Issue 1, February 2022
Pages:
7-13
Received:
22 February 2022
Accepted:
12 March 2022
Published:
18 March 2022
Abstract: The extraction of man-made features from high resolution digital satellite imagery is an important step to underpin management of geo-information in any country. Man-made features and buildings in particular are required for various applications such as urban planning, creation of geographic information systems databases and generation of urban models. Manual extraction processes are expensive, labor intensive, need well trained personnel and cannot cope with high demand of geo-information and changing environment. This paper, presents a Radial Casting Algorithm (RCA) used to extract buildings from high resolution digital satellite imagery. The algorithm measures only a single point on an approximate center of the building on an image and the fine measurement is automatically determined. The algorithm is a modification from original snakes model developed by Kass et al whereby the external constraints energy term is removed which negatively affects the convergence properties of the contour to provide the ability of the snake contour to cope with high variability of buildings on an image. The algorithm was tested on three areas of different environment. The quantitative measures were employed to evaluate the accuracy, efficiency and capability of the algorithm which shows that the time of extracting a single building was reduced by 32 percent, the extraction rate was 92 percent and the Area coverage of extracted polygons was 98 percent.
Abstract: The extraction of man-made features from high resolution digital satellite imagery is an important step to underpin management of geo-information in any country. Man-made features and buildings in particular are required for various applications such as urban planning, creation of geographic information systems databases and generation of urban mod...
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