• 한국농촌생활과학회지
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• 제5권2호
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• pp.107-115
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• 1994

This study was conducted to provide a counterplan for preventing so celled “plastic house syndrome” revealed among farmers spending much time in the plastic houses. For this, working environment inside a plastic house was observed. Then, experiments were carried out mostly in a climatic chamber with three kinds of working posture on uneven($D_1-F_1$) or even($D_2-F_2$) ground surface. Tested work loads with three kinds of working posture were : moving in a sitting posture with attaching breast to legs and waving arms ($A_1$), moving in a bending posture with waving arms ($B_1$), and moving a 6kg weighting luggage in a standing posture ($C_1$) Physiological responses in the workers to three different work loads were observed in a climatic chamber, with or without using some instruments, to evaluate work efficiencies. The results obtained are summerized as follows. 1. $C_1$ was the hardest work and $B_1$ was harder than $A_1$ on the even ground. 2. Worker's physiological fatigue and physical loads remarkably decreased when using the instruments such as a chair and a cart with some rollers on the even ground. 3. Working with pushing a cart($F_1$) was the hardest work, and standing($D_1$) was harder than walking($E_1$) on the uneven ground. 4. Worker's physiological fatigues and physical loads remarkably decreased on the even ground. 5. Similar results were obtained when the same experiment was carried out in a plastic house.

• 산업경영시스템학회지
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• 제41권4호
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• pp.1-8
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• 2018

Whole body fatigue detection is an important phenomenon and the factors contributing to whole body fatigue can be controlled if a mathematical model is available for its assessment. This research study aims at developing a model that categorizes whole body exertion into fatigued and non-fatigued states based on physiological and perceived variables. For this purpose, logistic regression was used to categorize the fatigued and non-fatigued subject as dichotomous variable. Normalized mean power frequency of eight muscles from 25 subjects was taken as physiological variable along with the heart rate while Borg scale ratings were taken as perceived variables. The logit function was used to develop the logistic regression model. The coefficients of all the variables were found and significance level was checked. The detection accuracy of the model for fatigued and non-fatigues subjects was 83% and 95% respectively. It was observed that the mean power frequency of anterior deltoid and the Borg scale ratings of upper and lower extremities were significant in predicting the whole body fatigued when evaluated dichotomously (p < 0.05). The findings can help in better understanding of the importance of combined physiological and perceived exertion in designing the rest breaks for workers involved in squat lifting tasks in industrial as well as health sectors.

• 한국의류학회지
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• 제29권7호
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• pp.918-925
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• 2005

The following are the results from the infrared body temperature image test to verify the changes in facial temperature according to call duration with a cellular phone. As for the body temperatures, it appears to be the mean value at the upper central point of phone's battery among 7 different points that are measured, and to be the highest at srernocleido-mastoid and scapular trapezius muscle triangle zone$(34.25^{\circ}C\; and\;34.05^{\circ}C\;each)$. The changes of body temperature according to the time duration shows that the body temperature rises according to the length of phone use because of the heat emitted from the battery. As for the temperature changes according to blocking materials, the one without processing appears to be higher in the mean temperature compared to the others that are processed, NSS(Nano Silver Silk) and NSG(Nano Silver Silk Gold) appear to be the lowest in the temperature to show the best blocking property. As for the temperature changes according to measuring points, it appears to be the highest at P4, P5 with all materials, and one with NSG to be the lowest at Pl, P2, P3, and one with NSS to be the lowest at P3, P4, P5, P6, which is due to the thermal conduction of Au and Ag. And the mean temperature at each point appears to be different according to the materials. Therefore, the study conducted with human participants requires a proper particle size of it which would not penetrate cellular tissues and a proper binder and binding treatment for it, to prevent the physical fatigues and the potential diseases. However, it is highly required for back-up researches to verify various aspects in applying nano silver to textile products.