• Clinical and Experimental Pediatrics
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• 제58권8호
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• pp.301-308
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• 2015

Purpose: We evaluated three blood glucose self-monitoring for measuring whole blood glucose levels in preterm and low-birth-weight infants. Methods: Between December 1, 2012 and March 31, 2013, 230 blood samples were collected from 50 newborns, who weighed, ${\leq}2,300g$ or were ${\leq}36$ weeks old, in the the neonatal intensive care unit of Eulji University Hospital. Three blood glucose self-monitoring (A: Precision Pcx, Abbott; B: One-Touch Verio, Johnson & Johnson; C: LifeScan SureStep Flexx, Johnson & Johnson) were used for the blood glucose measurements. The results were compared to those obtained using laboratory equipment (D: Advia chemical analyzer, Siemens Healthcare Diagnostics Inc.). Results: The correlation coefficients between laboratory equipment and the three blood glucose self-monitoring (A, B, and C) were found to be 0.888, 0.884, and 0.900, respectively. For glucose levels ${\leq}60mg/dL$, the correlation coefficients were 0.674, 0.687, and 0.679, respectively. For glucose levels>60 mg/dL, the correlation coefficients were 0.822, 0.819, and 0.839, respectively. All correlation coefficients were statistically significant. And the values from the blood glucose self-monitoring were not significantly different from the value of the laboratory equipment, after correcting for each device's average value (P>0.05). When using laboratory equipment (blood glucose ${\leq}60mg/dL$), each device had a sensitivity of 0.458, 0.604, and 0.688 and a specificity of 0.995, 0.989, and 0.989, respectively. Conclusion: Significant difference is not found between three blood glucose self-monitoring and laboratory equipment. But correlation between the measured values from blood glucose self-monitoring and laboratory equipment is lower in preterm or low-birth-weight infants than adults.

• Journal of Biosystems Engineering
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• 제24권1호
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• pp.25-30
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• 1999

The effectiveness of many greenhouse environment control methodologies depends on the growth information of crops. Acquisition of the growth information of crops requires a non-invasive and continuous monitoring method. Crop growth monitoring system using digital imaging technique was developed to conduct non-destructive and intact plant growth analyses. The monitoring system automatically measures crop growth information sends an appropriate control signal to the nutrient solution supplying system. To develop the monitoring system, a linear model that explains the relationship between the fresh weight and the top projected leaf area of a lettuce plant was developed from an experiment. The monitoring system was evaluated buy successive lettuce growing experiments. Results of the experiments showed that the developed system could estimate the fresh weight of lettuce from a lettuce image by using the linear model and generate an EC control signal according to the lettuce growth stage.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2005년도 제24회 춘계학술대회논문집
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• pp.248-251
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• 2005

본 연구에서는 가스 터빈 엔진의 결함에 의해 나타나는 엔진의 성능 저하를 진단하는 기법을 연구하였다. 대상 엔진을 모델화하기 위해 상용 프로그램 GSP를 이용하여 저하된 성능 진단을 위한 변수들을 추출하였으며 이를 바탕으로 Health Monitoring을 위한 Virtual Sensor Model을 구축하였다. 단일 결함과 복합 결함을 예측하기 위한 방법으로 Multiple Linear Regression기법과 가중치를 이용한 기법을 도입하여 엔진 구성품의 결함 위치 및 결함 정도를 예측하였다.

• 반도체디스플레이기술학회지
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• 제18권4호
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• pp.129-133
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• 2019

In this paper, we developed a system to monitor the storage capacity of suction-type device such as vacuum cleaner or crop harvesters. The monitoring system consists of load cells and a differential pressure sensor which simultaneously monitor the weight and volume of the stock. Since weighing objects stored in storage containers alone cannot fully monitor the level of filling, more accurate monitoring can be achieved by monitoring volume and fusion with weight information. The volume was monitored using a phenomenon in which the flow rate of the inhaled air varies depending on the volume of the object filled in the storage container. In this paper, we developed a system to monitor the storage in three stages: low, medium and high.

• 전기학회논문지P
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• 제66권4호
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• pp.224-228
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• 2017

Recently, in order to improve the efficiency of freight transportation on existing lines, a new freight train model is needed to develop urgently. The weight balance of the cargo for the freight vehicle is very important for the stability of the running train and the safe transportation of the cargo. For achieving the cargo weight balance, we proposed a Cargo Balancing Control(CBC) system on the Freight vehicle equipped in between under frame of car body and bogie system. The Cargo Safety Monitoring(CSM) system was designed to supervise status of the Cargo on freight train. The monitoring system can display real time status data from sensors and various signals effectively. We suggested that this paper is a very useful approach for keeping the safety of running freight trains on existing lines.

• 한국염색가공학회지
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• 제16권2호
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• pp.47-51
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• 2004

A differential refractive index detector was used for monitoring glucose contents in textile processing solutions. The sensitivity of the device was high enough to measure 0.05％ aqueous glucose solution that could not be measured by normal refractive index measurement. The device was set to monitor glucose concentration continuously in real time by measuring differential refractive index and calibrated by standard glucose solutions in a range of 0.1 to 1.0%. The possibility of industrial application of the device was demonstrated by real-time monitoring of glucose concentration in textile processing solutions such as desizing bath and cellulase treatment bath. Both of solutions contained glucose as a major degraded product. The device would be able to control the weight loss of cellulosic fiber during cellulase treatment since the amount of degraded products in a processing bath is proportional to its weight loss.

• 대한영양사협회학술지
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• 제21권3호
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• pp.194-202
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• 2015

The study examined dietary intake, satiety rate, and eating rate using rice bowls with an elevated bottom (diet rice bowl) and rice bowls with an elevated bottom and monitoring line (monitoring rice bowl). The monitoring rice bowl was used to help subjects monitor amounts they had eaten as they ate. Eighteen normal weight college female students participated in this study once a week for 2 weeks. Three hundred grams of fried rice in a diet rice bowl (1st week), and 300 g of fried rice in a monitoring rice bowl were served to the participants over 2 consecutive weeks. After each lunch, dietary intake, satiety rate, and eating rate were measured. The consumption amount of fried rice was 261.6 g in the diet rice bowl group, and 264.8 g in the monitoring rice bowl group. There was no significant difference in fried rice intake between the two groups. The satiety rate of fried rice in the monitoring rice bowl group was significantly higher than that of the diet rice bowl group after 1 hour and 2 hours (P<0.05). The eating rate of the diet rice bowl group (21.3 g/min) was significantly faster than that of the monitoring rice bowl group (18.7 g/min) (P<0.05). This result shows that food consumption monitoring can affect not only eating rate but also the subjective feelings of satiety after meal eating. Although more study is needed, these data suggest consumption monitoring in a rice bowl may help to control obesity and weight.

• 한국물환경학회지
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• 제23권6호
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• pp.843-849
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• 2007

Monitoring of NOM characteristics is important for improving removal efficiency of natural organic matter (NOM) in water treatment processes. In this study, several NOM characteristics, which include specific UV absorbance (SUVA), total carbonate content, molecular weight distribution, and fluorescence properties, were measured using samples collected from a pilot-scale water treatment plant consisting of coagulation/flocculation (C/F), filtration, ozonation and granular activated carbon (GAC) processes. The highest removal of NOM was observed in C/F and filtration processes as demonstrated by the reduction of dissolved organic carbon (DOC) by 25% and 21%, respectively. Despite nearly no change in DOC, however, the lowest SUVA value and the highest total carbohydrate content were observed in the sample from ozonation process. This indicates that non-degradable aromatic compounds become depleted and biodegradable organic compounds are enriched during the process. Comparison of synchronous fluorescence spectra of the samples showed that ozoation process increased protein-like fluorescence while it decreased fulvic-like and terrestrial humic-like fluorescence. Consistently, a slight peak of protein-like fluorescence was observed in the sample from ozonation process. The greatest change in molecular weight distributions of the samples was observed in C/F process. Comparison of size exclusion chromatogram of the samples revealed that NOM fractions with the molecular weight greater than 2000 Da were reduced by over 90% after C/F process. SUVA values and total carbohydrate content of the samples were well correlated with a ratio of protein-like fluorescence and terrestrial humic-like fluorescence intensities with the correlation coefficients of 0.99 and 0.91, respectively. This suggests that synchronous fluorescence properties of NOM could be used as useful tolls for monitoring changes of some NOM characteristics during water treatment processes.

• Human Ecology Research
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• 제54권1호
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• pp.27-43
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• 2016

This study initiates from the question of whether current advertising regulations are appropriate to be applied to the market. It confirms the relationship between misleading online advertisements of weight-loss food and consumer damages. This study argues that it is necessary to enforce monitoring and regulating (strengthening monitoring) for situations where misleading advertisements are exposed in the market with subsequent consumer damages. However, deregulation is needed for advertisements exposed in the name of misleading advertisements but with no consumer damages. In conclusion, the regulations of current weight loss foods are properly established $vis-{\grave{a}}-vis$ the market situation. However, misleading advertisements are prevalent for all regulated types: Type I (product quality and effect), Type II (endorsement and warranty), Type III (ways to use and safety), Type IV (comparison and superiority), and Type V (company information). Promotion targeting businesses, market monitoring and control are necessary to ensure that advertising regulations (which have existed only as an institution) can be appropriately applied. It is also confirmed that 'comparison advertising' (applicable to Type IV where consumer damages were not shown compared to other regulations) does not have an actual effect as a consumer protection regulation that should be considered in regulation revisions. Consumers also did not recognize Type III and V in the purchasing stage while consumer damages were demonstrated; consequently, this implies that consumers need to check and become attentive to these types.

• 드라이브 ㆍ 컨트롤
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• 제21권2호
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• pp.36-43
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• 2024

The yield is basic and necessary information in precision agriculture that reduces input resources and enhances productivity. Yield information is important because it can be used to set up farming plans and evaluate farming results. Yield monitoring systems are commercialized in the United States and Japan but not in Korea. Therefore, such a system must be developed. This study was conducted to develop a yield monitoring system that improved performance by correcting a previously developed flow sensor using a grain tank-weighing system. An impact-plated type flow sensor was installed in a grain tank where grains are placed, and grain tank-weighing sensors were installed under the grain tank to estimate the weight of the grain inside the tank. The grain flow rate and grain weight prediction models showed high correlations, with coefficient of determinations (R2) of 0.9979 and 0.9991, respectively. A main controller of the yield monitoring system that calculated the real-time yield using a sensor output value was also developed and installed in a combine harvester. Field tests of the combine harvester yield monitoring system were conducted in a rice paddy field. The developed yield monitoring system showed high accuracy with an error of 0.13%. Therefore, the newly developed yield monitoring system can be used to predict grain weight with high accuracy.