• Journal of Korean Society for Atmospheric Environment
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• v.10 no.4
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• pp.224-232
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• 1994

A new neural network model has been developed to predict short-term air pollution concentration. In addition, a multiple regression model widely used in statistical analysis was tested. These models were applied for prediction of daily maximum ozone concentration in Seoul during the summer season of 1991. The time periods between May and September 1989 and 1990 were utilized to train set of learning patterns in neural network model, and to estimate multiple regression model. To evaluate the results of the different models, several Performance indices were used. The results indicated that the multiple regression model tended to underpredict the daily maximum ozone concentration with small r$^{2}$(0.38). Also, large errors were found in this model; 21.1 ppb for RMSE, 0.324 for NMSE, and -0.164 for MRE. On the other hand, the results obtained from the neural network model were very promising. Thus, we can know that this model has a prominent efficiency in the adaptive control for the non-linear multi- variable systems such as photochemical oxidants. Also, when the recent new information was added in the neural network model, prediction accuracy was increased. From the new model, the values of RMSE, NMSE and r$^{2}$ were 13.2ppb, 0.089, 0.003 and 0.55 respectively.

• Korean Journal of Remote Sensing
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• v.27 no.3
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• pp.259-276
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• 2011

Short-term land cover changes, such as forest fire scar and crop harvesting, can be detected by high temporal resolution satellite imagery like MODIS and AVHRR. Because these optical satellite images are often obscured by clouds, the static cloud-free composite methods (maximum NDVI, minblue, minVZA, etc.) has been used based on non-overlapping composite period (8-day, 16-day, or a month). Due to relatively long time lag between successive images, these methods are not suitable for observing short-term land cover changes in near-real time. In this study, we suggested a new dynamic cloud-free composite algorithm that uses cut-and-patch method of cloud-masked daily MODIS data using MOD35 products. Because this dynamic composite algorithm generates daily cloud-free MODIS images with the most recent information, it can be used to monitor short-term land cover changes in near-real time. The dynamic composite algorithm also provides information on the date of each pixel used in compositing, thereby makes accurately identify the date of short-term event.

• Journal of Wetlands Research
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• v.5 no.2
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• pp.1-13
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• 2003

In Korea, most of the rainfalls have been concentrated in the flood season and the flood study has received more attention than low flow analysis. One of the reasons that the analysis of low flows has less attention is the lacks of the required data like daily rainfall and so we have used the stochastic processes such as pulse noise, exponential distribution, and state model of Markov chain for the rainfall simulation in short term such as daily. Especially this study will pay attention to the state model of Markov chain. The previous study had performed the simulation study by the state model without considerations of the flood and non-flood periods and without consideration of the frequency of rainfall for the period of a state. Therefore this study considers afore mentioned two cases and compares the results with the known state model. As the results, the RMSEs of the suggested and known models represent the similar results. However, the PRE(relative percentage error) shows the suggested model is better results.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.1-13
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• 2019

Purpose: Rehabilitation nursing requires an interdisciplinary comprehensive team approach that allows for enough time to promote patients' functional recovery. We identified the effects of a nurse-led rehabilitation intervention program on subacute stroke patients' activities of daily living, anger, and muscle strength, as well as their chief caregivers' satisfaction. Methods: Intervention group participants (n = 20) completed a rehabilitation intervention program, which integrated physical activities with psychological and social approaches. Results: The program did not significantly improve patients' activities of daily living or anger management; however, it significantly affected both anger-in (t = 3.384, p = .002) and anger-out (t = 2.167, p = .037) attitudes. Caregivers' satisfaction among the intervention group (t = 6.935, p < .001) decreased more significantly than that of the comparison group (t = 0.224, p = .825). Conclusion: Rehabilitation intervention program should enlist nurses' participation and promote a team-based approach during the rehabilitation program. Further, patients and their caregivers should be encouraged to express their emotions during counseling.

• PNF and Movement
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• v.9 no.3
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• pp.31-39
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• 2011

Purpose : The purpose of this study was to evaluate the criterion-related validity of the Berg balance test between fallers and non-fallers in individuals with Parkinson's disease. Methods : Thirty-one patients were recruited for this study. Their initial diagnosis had been made on average $30.1{\pm}10.1$ years earlier. Score of Berg balance test showed significant correlations with indicators of motor functioning and daily living capacity. Berg balance test score was inversely associated with the unified Parkinson's disease rating scale-motor score, and Schwab and England activities of daily living rating scale. Results : In all 3 correlations, lower scores on the Berg balance test correlated with higher unified Parkinson's disease rating scale-motor scores. Results support the criterion-related validity of the Berg balance test. Conclusion : Our research results agree with other published research in suggesting that the Berg balance test may be used as a screening tool and ongoing assessment tool for patients with Parkinson's disease.

• Proceedings of the Korean Environmental Health Society Conference
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• 2005.06a
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• pp.286-288
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• 2005

This study was conducted to compare the fluoride concentrations in urine of preschool children aged 3${\sim}$6 years between residing in community water fluoridation area(Kwangju City) and non-fluoridation area(Sungnam City). The acid-diffusible fluoride in the urine and drinking water was isolated by the acid-diffusion technique and measured with a fluoride electrode. The mean daily fluoride excretion to urine of children residing in Kwangju and Sungnam were $1.27{\pm}0.75mgF^-$/g creatinine and $0.87{\pm}47 mgF^-$/g creatinine, respectively. It is concluded from this investigation that the $F^-$concentration in urine sample of kindergarten and drinking water of children living in Kwanju(fluoridated areas) were significantly higher than that of children living in Sungnam(non-fluoridated areas).

• Journal of Biomedical Engineering Research
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• v.38 no.5
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• pp.264-270
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• 2017

A Doppler radar sensor was applied to detect respirations and heartbeats of persons who were lying on a bed. This study is preliminary study aiming at non-contact and non-intrusive respiration and heart rate monitoring during sleep in daily life. For the experiments, 10GHz Doppler radar with patch-type antenna was used and installed on the upper right and the distance between the body and the antenna was 1 m. The results show that each signal of respiration and heartbeat is observed in each frequency band however the frequency band and the waveform vary according to the subjects and the posture. The results show that the heartbeats can be detected with the peak detection in some frequency band. This study shows the feasibility of applying the Doppler radar to detection of heartbeat and respiration during sleep and further studies about heartbeat detection algorithm are required.

• International Commerce and Information Review
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• v.11 no.1
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• pp.239-264
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• 2009

As the competitive market environment and industry circumstances become more and more competitive on a daily basis, it is not easy to find an opportunity to initiate small business, or increase performances of Small and Medium Business. The research findings are as follows. First, entrepreneurship(innovation, progressive, social responsibility) has significant effects on the market orientation. Second, company competence(individual resource, technology resource) has significant effects on the market orientation. Third, market orientation has significant effects on the non-financial performance(Internal process performance, learning & growth performance, customer performance). Finally, non-financial performance(Internal process performance, learning & growth performance, customer performance) has significant effects on the financial performance.

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.11
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• pp.1523-1529
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• 2016

Soybean meal (SBM), a commonly used protein source for animal feed, contains anti-nutritional factors such as trypsin inhibitor, phytate, oligosaccharides among others, which limit its utilization. Microbial fermentation using bacteria or fungi has the capability to improve nutritional value of SBM by altering the native composition. Both submerged and solid state fermentation processes can be used for this purpose. Bacterial and fungal fermentations result in degradation of various anti-nutritional factors, an increase in amount of small-sized peptides and improved content of both essential and non-essential amino acids. However, the resulting fermented products vary in levels of nutritional components as the two species used for fermentation differ in their metabolic activities. Compared to SBM, feeding non-ruminants with fermented SBM has several beneficial effects including increased average daily gain, improved growth performance, better protein digestibility, decreased immunological reactivity and undesirable morphological changes like absence of granulated pinocytotic vacuoles.

• Journal of Industrial Technology
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• v.42 no.1
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• pp.13-18
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• 2022

Diabetes mellitus is an abnormally high glucose level in the bloodstream. Several pharmaceuticals are administered to diabetic patients to control their glucose levels. Early diagnosis and proper glycemic management are essential in this situation to prevent further progression and complications. Biosensor-based detection has progressed and shown potential in portable and inexpensive daily assessment of glucose levels because of its simplicity, low cost, and convenient operation without sophisticated instrumentation. This review discusses various systemic aspects of non-invasive glucose monitoring, including materials for monitoring and managing diabetes.