• Atmosphere
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• v.31 no.1
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• pp.73-83
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• 2021

Numerical weather prediction (NWP) models play an essential role in predicting weather factors, but using them is challenging due to various factors. To overcome the difficulties of NWP models, deep learning models have been deployed in weather forecasting by several recent studies. This study adapts long short-term memory (LSTM), which demonstrates remarkable performance in time-series prediction. The combination of LSTM model input of meteorological features and activation functions have a significant impact on the performance therefore, the results from 5 combinations of input features and 4 activation functions are analyzed in 9 Automated Surface Observing System (ASOS) stations corresponding to cities/islands/mountains. The optimized LSTM model produces better performance within eight forecast hours than Local Data Assimilation and Prediction System (LDAPS) operated by Korean meteorological administration. Therefore, this study illustrates that this LSTM model can be usefully applied to very short-term weather forecasting, and further studies about CNN-LSTM model with 2-D spatial convolution neural network (CNN) coupled in LSTM are required for improvement.

• Journal of Korean Neurosurgical Society
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• v.65 no.1
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• pp.151-160
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• 2022

Continuous monitoring of intracranial pressure is a well established medical procedure. Still, little is known about long-term behavior of intracranial pressure in normal pressure hydrocephalus. The present study is designed to evaluate periodicity of intracranial pressure over long-time scales using intraventricular pressure monitoring in patients with normal pressure hydrocephalus. In addition, the circadian and diurnal patterns of blood pressure and body temperature in those patients are studied. Four patients, selected with "probable" normal pressure hydrocephalus, were monitored for several dozen hours. Intracranial pressure, blood pressure, and body temperature were recorded hourly. Autocorrelation functions were calculated and cross-correlation analysis were carried out to study all the time-series data. Autocorrelation results show that intracranial pressure, blood pressure, and body temperature values follow bimodal (positive and negative) curves over a day. The cross-correlation functions demonstrate causal relationships between intracranial pressure, blood pressure, and body temperature. The results show that long-term fluctuations in intracranial pressure exhibit cyclical patterns with periods of about 24 hours. Continuous intracranial pressure recording in "probable" normal pressure hydrocephalus patients reveals circadian fluctuations not related to the day and night cycle. These fluctuations are causally related to changes in blood pressure and body temperature. The present study reveals the complete loss of the diurnal blood pressure and body temperature rhythmicities in patients with "probable" normal pressure hydrocephalus.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.500-511
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• 2016

This study examined the effects of the physical functions (ADL, IADL), mental functions (CES-D, MMSE-K) and oral health impact profile (OHIP-14) on the quality of life (WHOQOL-BREF) of the elderly in long-term care facilities. The study subjects were 602 elderly people, who were surveyed at the entrance to the long-term care facilities. The interviews were conducted using a questionnaire during the period from May 1, to June 30, 2014. As a result, the quality of life was affected more by the CES-D and MMSE-K than by the ADL and IADL or by OHIP-14; the quality of life improved with a higher ADL, IADL, and OHIP-14 and a higher CES-D and MMSE-K. A higher OHIP-14, ADL and IADL resulted in a higher CES-D and MMSE-K. These results suggested that the quality of life is correlated significantly with the physical functions (ADL, IADL), mental functions (CES-D, MMSE-K), and the oral health impact profile (OHIP-14).

• Korean Institute of Interior Design Journal
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• v.14 no.2 s.49
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• pp.142-152
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• 2005

It is estimated that the need to build health facilities for the elderly will grow in the near future as the Korean society is aging. Thus the study on the spatial composition of 22 facilities as well as on the cases of health facilities for the elderly in Japan, where public health and medicare for aged people are well taken care of, was conducted and the following are the results: 1. As of 2000, there was one facility for every 8,000 and 1,100 aged citizen under long-term care, and these facilities secured beds enough for $8\%$ of those who need long-term care. 2. The spatial composition was categorized into general living space, long-term care, management, provision, and home assistance, and housing was provided. Moreover, the space was divided according to their nature of use, the arrangement, the form of entrance into the building, moving line inside, the relationship with the health facilities and their characteristics are analyzed based on different users, managers, moving line including that of provision of food, the relationship between different spaces with different functions as well as on the relationship between locations of each space. 3. The total capacity, building area and actual area of the welfare facilities for the elderly are analyzed, and area per person, detailed area for each space, percentage of each living space for long-term care patients and characteristics of recuperation room are suggested.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.5
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• pp.393-398
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• 2007

In this paper, we propose the development of Artificial Hippocampus Algorithm(AHA) which remodels a principle of brain of hippocampus. Hippocampus takes charge auto-associative memory and controlling functions of long-term or short-term memory strengthening. We organize auto-associative memory based 4 steps system (EC, DG CA3, and CA1) and improve speed of teaming by addition of modulator to long-term memory teaming. In hippocampus system, according to the 3 steps order, information applies statistical deviation on Dentate Gyrus region and is labeled to responsive pattern by adjustment of a good impression. In CA3 region, pattern is reorganized by auto-associative memory. In CA1 region, convergence of connection weight which is used long-term memory is learned fast a by neural network which is applied modulator. To measure performance of Artificial Hippocampus Algorithm, PCA(Principal Component Analysis) and LDA(Linear Discriminants Analysis) are applied to face images which are classified by pose, expression and picture quality. Next, we calculate feature vectors and learn by AHA. Finally, we confirm cognitive rate. The results of experiments, we can compare a proposed method of other methods, and we can confirm that the proposed method is superior to the existing method.

• The Transactions of the Korean Institute of Power Electronics
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• v.26 no.3
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• pp.183-191
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• 2021

A battery management system (BMS) provides some functions for ensuring safety and reliability that includes algorithms estimating battery states. Given the changes caused by various operating conditions, the state-of-health (SOH), which represents a figure of merit of the battery's ability to store and deliver energy, becomes challenging to estimate. Machine learning methods can be applied to perform accurate SOH estimation. In this study, we propose a Long-Term Recurrent Convolutional Network (LRCN) that combines the Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM) to extract aging characteristics and learn temporal mechanisms. The dataset collected by the battery aging experiments of NASA PCoE is used to train models. The input dataset used part of the charging profile. The accuracy of the proposed model is compared with the CNN and LSTM models using the k-fold cross-validation technique. The proposed model achieves a low RMSE of 2.21%, which shows higher accuracy than others in SOH estimation.

• Journal of Food Hygiene and Safety
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• v.37 no.3
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• pp.121-128
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• 2022

The rapid development of biotechnology has increased the importance of microorganisms or their genetic information. Thus, the Nagoya Protocol on access to genetic resources and the fair and equitable sharing of benefits arising from their utilization was established, and countries are working to secure industrially and academically useful bioresources to deal with the agreement. In the case of Korea, because 67% of bioresources are imported from abroad, we are required to secure domestic bioresources as well. The number of isolated foodborne illness-causing microorganisms is predicted to invrease based on the incresing number of outbreaks of foodborne illness each year. Consequently, appropriate long-term preservation methods are necessary to secure the isolated microorganisms for the purpose of research and resourcification. Therefore, the long-term preservation methods for bacteria, fungi, viruses, and protozoa were investigated in this study, from domestic and international bioresource banks, and the functions of the cryoprotectants were reviewed and discussed. This review should be informative in the preservation of microorganisms and contribute to the development of biotechnology.

• Journal of Home Health Care Nursing
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• v.30 no.3
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• pp.298-310
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• 2023

Purpose: This study synthesized the literature on non-pharmacological interventions for chronic pain in older adults in long-term care facilities. Methods: Scoping review and thematic analysis methods were combined. On June 1, 2023, searches of primary electronic databases, including PubMed, Embase, PsycINFO, CINAHL DBpia, KMbase, NDSL, and RISS, were performed, restricting the publication date from January 1, 2010 to December 31, 2022. Guidelines from the Joanna Briggs Institute were used as a framework to set and conduct the scoping review. Results: The review identified 1,095 abstracts, from which 14 studies were included in the review. Consequent to the study, there were 10 randomized controlled experimental study designs, and 6 out of 14 studies were conducted in China. The numeric rating scale was widely used for pain assessment. Exercise intervention was provided in 7 studies and physiotherapy was provided in three studies. The outcome variables measured were pain self-efficacy, physical functions, and depression. Conclusion: This comprehensive overview guided nursing staff in long-term care facilities for planning and intervention of effective non-pharmacological interventions for chronic pain in the elderly.

• Journal of Korean Society of Forest Science
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• v.81 no.2
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• pp.124-138
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• 1992

This study was carried out to estimate long-term demand functions, and to project consumption of roundwood to the year 2030, using time series data for the period 1970-1990. Especially, the unique features of this study are in the estimation of demand functions for roundwood by species group and by end-use with help of dummy variables. It also, attempts to show how dummy variables can be utilized for improving the estimation result. The result of this study reveals that hardwood roundwood consumption is being substituted by softwood roundwood due to the rapid increase in the relative price of softwood, and this trend is expected to continue in the near future. The consumption of roundwood by mining industry is projected to fall as the coal :mining is expected to decline. The parametric estimates of timber demand function by species group and by end-use indicate that the demand for timber in Korea is more responsive to the performance of domestic economy as a whole, represented by GDP in this study, than to other variables such as own and substitute prices. The effects of population growth and substitute prices could not be determined.

• Korea Journal of Hospital Management
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• v.28 no.2
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• pp.9-20
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• 2023

Purpose: This study classified the actual functions of geriatric hospitals and examined the differences in their characteristics, in order to provide a basis for discussions on defining the functions of geriatric hospitals and how to pay for care. Methodology: This study used various administrative data such as health insurance data and long-term care insurance data. Cluster analysis was used to categorize geriatric hospitals. To examine the validity of the cluster analysis results, we conducted a discriminant analysis to calculate the accuracy of the classification. To examine cluster characteristics, we examined structure, process, and outcome indicators for each cluster. Findings: The cluster analysis identified five clusters. They were geriatric hospitals with relatively short stays for cancer patients(cluster 1; cancer patient-centered), geriatric hospitals with relatively large numbers of patients using rehabilitation services(cluster 2; rehabilitation patient-centered), geriatric hospitals with a high proportion of relatively severe elderly patients(cluster 3; severe elderly patient-centered), geriatric hospitals with a high proportion of mildly ill elderly patients with various conditions(cluster 4; mildly ill elderly patient-centered), and geriatric hospitals with a significantly higher proportion of dementia patients(cluster 5; dementia patient-centered). The largest number of geriatric hospitals were categorized in clusters 4 and 5, and the structure and process indicators for these clusters were generally lower than for the other clusters. Practical Implications: We have confirmed the existence of geriatric hospitals where the medical function, which is the original purpose of a geriatric hospital, has been weakened. It has been observed that the quality level of these geriatric hospitals is likely to be lower compared to hospitals that prioritize enhanced medical functions. Therefore, it is suggested to consider the conversion of these geriatric hospitals into long-term care facilities, and careful consideration should be given to the review of care-giver payment coverage.