• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2008.05a
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• pp.551-554
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• 2008

In the recent year, Unmanned helicopters of airline industries are using in various industries such as monitoring system, agriculture and forest fire. A unmanned helicopter is needed a powerful engine for transport weighty payload and have to need a light weight. Therefore it is necessary a light weight transmission of the unmanned helicopter. Initially a rectangular transmission housing has been considered, but an empty space in the housing is not useful for light weight design. In this study, new model has been introduced into the transmission housing by using rapid prototyping. As a result, the weight of new transmission housing can be reduced very much as 67%.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.11a
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• pp.91-92
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• 2015

This study was performed for application of Structural Health Monitoring system of Jamsil Lotte World Tower. Axial stresses of mega column and core wall are measured in the past 29 months for axial stress monitoring and evaluating predicted self weight. We use the midas gen program(FEM analysis program) with construction stage analysis mode to predict axial stress. 8 mega column axial stressmeters are installed at 21st floor and 4 core wall stressmeters are installed at 38th floor. Measurement data was obtained without creep and shrinkage effect.

• Structural Monitoring and Maintenance
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• v.10 no.2
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• pp.175-190
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• 2023

This article aims to quantitatively predict the snowmelt in extreme cold regions, considering a combination of grayscale and neural models. The traditional non-equidistant GM(1,1) prediction model is optimized by adjusting the time-distance weight matrix, optimizing the background value of the differential equation and optimizing the initial value of the model, and using the BP neural network for the first. The adjusted ice forecast model has an accuracy of 0.984 and posterior variance and the average forecast error value is 1.46%. Compared with the GM(1,1) and BP network models, the accuracy of the prediction results has been significantly improved, and the quantitative prediction of the ice sheet is more accurate. The monitoring and maintenance of the structure by quantitative prediction model by gray models was clearly demonstrated in the model.

• Smart Structures and Systems
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• v.17 no.6
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• pp.1087-1105
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• 2016

Traffic load and volume is one of the most important physical quantities for bridge safety evaluation and maintenance strategies formulation. This paper aims to conduct the statistical analysis of traffic volume information and the multimodal modeling of gross vehicle weight (GVW) based on the monitoring data obtained from the weigh-in-motion (WIM) system instrumented on the arch Jiubao Bridge located in Hangzhou, China. A genetic algorithm (GA)-based mixture parameter estimation approach is developed for derivation of the unknown mixture parameters in mixed distribution models. The statistical analysis of one-year WIM data is firstly performed according to the vehicle type, single axle weight, and GVW. The probability density function (PDF) and cumulative distribution function (CDF) of the GVW data of selected vehicle types are then formulated by use of three kinds of finite mixed distributions (normal, lognormal and Weibull). The mixture parameters are determined by use of the proposed GA-based method. The results indicate that the stochastic properties of the GVW data acquired from the field-instrumented WIM sensors are effectively characterized by the method of finite mixture distributions in conjunction with the proposed GA-based mixture parameter identification algorithm. Moreover, it is revealed that the Weibull mixture distribution is relatively superior in modeling of the WIM data on the basis of the calculated Akaike's information criterion (AIC) values.

• Nutrition Research and Practice
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• v.13 no.5
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• pp.415-424
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• 2019

BACKGROUND/OBJECTIVES: Existing evidence on lifestyle modification programs for weight loss is limited by the high attrition rate of such programs. Identifying predictors of adherence to a lifestyle modification program could result in program improvement. However, little is known about behavior-specific adherence and its psychological predictors. This study aimed to examine the psychological predictors of adherence after one-month participation in a community-based lifestyle modification program among Chinese overweight and obese adults in Hong Kong. SUBJECTS/METHODS: A total of 205 Chinese overweight and obese adults aged $38.9{\pm}10.5years$ completed the study. Data were collected at baseline and after one month using self-reported questionnaires, which assessed knowledge (self-developed scale), motivation (Treatment Self-Regulation Questionnaire), stage of change (Stage of Exercise Scale) and self-efficacy (Self-Rated Abilities for Health Practices Scale). At one month, a 4-day dietary recall and the International Physical Activity Questionnaire-Short Form were used to assess dietary and physical activity (PA) adherence. Food and PA diaries were examined to indicate self-monitoring. Program attendance was tracked between baseline and one-month follow-up. RESULTS: After one month, participants reported high dietary adherence, attendance, and adherence to self-monitoring but low PA adherence. Multiple regression analyses suggested that diet self-efficacy (baseline) and nutrition knowledge (one-month change) were independent predictors of dietary adherence score at one month, whereas autonomous PA motivation (baseline) and PA self-efficacy (both baseline and one-month change) were independent predictors of PA adherence score at one month. No significant psychological predictor was identified for attendance or self-monitoring. CONCLUSIONS: The results suggest that the effect of psychological factors on adherence differs between diet and PA adherence outcomes. To promote adherence, practitioners should assess self-efficacy, knowledge, and motivation at the beginning of a weight-loss program and explore behavior-specific strategies to improve knowledge and self-efficacy. The results of this study have direct implications for program improvements.

• Journal of the Institute of Convergence Signal Processing
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• v.16 no.2
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• pp.69-73
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• 2015

In this study, a method for estimating the amount of urination for men, was suggested and its performance was evaluated. This study is a preliminary one for the development of a health monitoring system that needs un-constraining, non-intrusive and long-term measurements in daily life. To estimate the amount of urination, a wide weighing plate with load cell was built and the difference in a man's weights between before and after urination was measured while he was standing on the plate. The results showed that the amount of urination can be estimated with the measured weight difference under the condition of mild movements. The largest measurement error of the suggested method was 40g, which means that this method can be applied to health monitoring in daily life. It is expected that the results of this study will be the basis for developing practical un-constraining and non-intrusive health monitoring system for daily use at home.

• Journal of the Korean Society of Food Culture
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• v.30 no.1
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• pp.129-136
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• 2015

The purpose of this study was to investigate improvement of food habits and eating behavior in children with obesity and precocious puberty by nutritional education monitoring. The results are as follows. Average height and weight of subjects exceeded Korean height and weight standards for children as outlined by The Korea Pediatric Society. Using nutrition education monitoring, meals became more regular, overeating significantly decreased, and eating speed decreased. Further, frequencies of eating-out and night-eating significantly decreased. The most preferred menu item when eating-out was Korean food, and the most preferred menu item for night-eating was fruits, fast food, & processed food. Meat & fish and vegetable intakes all significantly increased. Fruit and milk intakes also significantly increased while bread, snack, and ice cream intakes decreased. Further, fast food & instant food intakes decreased. However, water intake was not significantly affected. The favorite food of children was meat & fish, followed by fast food & processed food. This study may provide information on dietary behavior of children with obesity and precocious puberty and suggests that nutrition education or counseling can improve food habits and eating behavior.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.236-236
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• 2015

Flood is one of the major natural disasters affecting millions of people. Thailand also, frequently faces with this type of disaster. Especially, 2011 mega flood in Central Thailand, inundated highway severely attributed to the failure of national economic and risk to life. Lesson learned from such an extreme event caused flood monitoring and warning becomes one of the sound mitigations. The highway flood hazard mapping accomplished in this research is one of the strategies. This is due to highway flood is the potential risk to life and limb, and potential damage to property. Monitoring and warning therefore help reducing live and property losses. In this study, degree of highway flood hazard was assessed by weighting factors for each cause of the highway flood using Multi Criteria Analysis (MCA) based Analytic Hierarchy Process (AHP). These weighting factors are the essential information to classify the degree of highway flood hazard to enable pinpoint on flood monitoring and flood warning in hazard areas. The highway flood causes were then investigated. It was found that three major factors influence to the highway flood are namely the highway characteristics, the hydrological characteristics and the land topography characteristics. The weight of importance for each cause of the highway flood in the whole country was assessed by weighting 3 major factors influence to the highway flood. According to the result of MCA analysis, the highway, the hydrological and the land topography characteristics were respectively weighted as 35, 35 and 30 percent influence to the cause of highway flood. These weighting factors were further utilized to classify the degree of highway flood hazard. The Weight Linear Combination (WLC) method was used to compute the total score of all highways according to each factor. This score was later used to categorize highway flood as high, moderate and low degree of hazard levels. Highway flood hazard map accomplished in this research study is applicable to serve as the handy tool for highway flood warning. However, to complete the whole warning process, flood water level monitoring system for example the camera gauge should be installed in the hazard highway. This is expected to serve as a simple flood monitor as part of the warning system during such extreme or critical event.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• v.10 no.1
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• pp.341-344
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• 2005

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.1
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• pp.61-67
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• 2013

Wheelchair users have a difficulty in managing their weight because there is lack of measure systems and even though the users have the system, it costs too much. Thus, purpose of this study is for developing the portable weight scale automatic device to help wheelchair users by monitoring their weight on the wheelchairs in real time. Portable weight scale automatic device composed by four strain gauges, and the device was connected with mobile phone so that wheelchair users were able to check their weight in real time. In order to evaluate the device performance, 10 normal subjects and 10 disabled subjects participated in this study. The subjects' truth weight and measured weight by the device are compared. The weigh difference within normal subjects was $0.75{\pm}0.80kg$, and the weigh difference within disabled subjects was $1.02{\pm}0.74kg$. Difference between the truth weigh and the measured weigh were not statistically different. The reason for this error occurred is inaccuracy of the loadcell installation and calibration. If this problems get solved, the measured indicator is expected to help wheelchair users to manage their weight.