• The Journal of Korean Academy of Sensory Integration
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• v.14 no.1
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• pp.19-30
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• 2016

Objective : The purpose of this study was to identify the effects of Interactive Metronome (IM) training on short-term memory and attention for children with mental retardation. Methods : For this study, single-subject experimental research was conducted using an ABA design. We observed two children, twice a week for 9 weeks, which was 18 sessions in total. We evaluated the children's brain waves without intervention and the child's pseudo randomly selected sample of one short-term memory task as assessed in the baseline A phase for three sessions. In the intervention phase the children received 40-50 minutes of Interactive Metronome training twice a week, a total of 12 sessions. The short-term memory test and long form test as assessed after treatment, without brain wave in short form test measuring. During the baseline A phase, data were collected using the same procedure as the baseline A phase. Results : After the interactive metronome training, positive changes was observed in brain waves, attentions and short-term memory. Conclusion : The results of this study expect that IM training has a potential for improving cognitive functions of children with mental retardation. In addition, the results of this study can be used as basic data in attention and short-term memory of occupational therapy intervention for children with mental retardation.

• Korean Journal of Psychosomatic Medicine
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• v.6 no.2
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• pp.136-146
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• 1998

Objectives : This study was performed to evaluate the effects of PTSD on memory function, to investigate the difference of memory function between PTSD and non-PTSD patients, and to identify major variables correlated to PTSD scale and Memory Assessment Scale. Methods: The authors used PTSD-scale(Mississippi scale and Combat Exposure Scale) for measuring PTSD severity. And, Beck Depression Inventory was also used. Memory assessment scale was assessed by well trained psychologist. Thirty one Vietnam veterans who had been hospitalized were collected consecutively. These patients were evaluated by psychiatrists with interview and measurement for fifteen months since March, 1997. The collected data were analyzed by SPSS and the stastistic methods used for analysis Chi-square, t-test, and Pearson's correlation. Results : 1) There were significant differences in short-term memory and verbal memory between PTSD and non-PTSD in Vietnam veterans. 2) Mississippi scale and Combat Exposure Scale were negatively correlated to short-term memory and verbal memory(Pearson's correlation). 3) Religion status was a significant variable between PTSD and non-PTSD in Vietnam veterans. 4) There is no significant difference in visual memory and total memory scale between PTSD and Non-PTSD in Vietnam veterans Conclusions : Neuropsychological changes were found in the posttraumatic stress disorder. There were significant differences in short-term memory and verbal memory between PTSD and non-PTSD in Vietnam veterans. Mississippi scale and Combat Exposure Scale were negatively correlated to short-term memory and verbal memory. We suggest that neuropsychological test might be used for an objective assessment of patients with the combat related PTSD and be considered helpful in the assessment of patients with the diagnosis. And we also suggest rehabilitation strategies would be used to compensate for memory deficits in PTSD patients.

• Journal of Korean Medicine Rehabilitation
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• v.21 no.2
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• pp.15-30
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• 2011

Objectives : The present study investigated the effects of Achyranthis Radix on short-term memory, apoptotic neuronal cell death in the hippocampus following transient global ischemia in gerbils. Methods : The gerbils were divided into 5 groups(n=10); Sham operation group, ischemia-induced group, ischemia-induced and 50 mg/kg Achyranthis Radix-treated group, ischemia-induced and 100 mg/kg Achyranthis Radix-treated group, ischemia-induced and 200 mg/kg Achyranthis Radix-treated group. For this study, a step-down avoidance task, terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling(TUNEL) assay, immunohistochemistry for caspase-3 and BrdU(5-Bromo-2'-deoxyuridine), and western blotting for bax, bcl-2 were performed. Results : The results revealed that ischemic injury impaired short-term memory and increased apoototic neuronal cell death in the hippocampal CA1(cornu ammonis area 1) region. Ischemic injury enhanced cell proliferation in the hippocampal CA1 region, the compensatory and adaptive process for excessive apoptosis. Achyranthis Radix treatment improved short-term memory by suppressing ischemia-induced apoptotic neuronal cell death in the hippocampal CA1 region. Also, Achyranthis Radix suppressed the ischemia-induced increase in cell proliferation in the hippocampal CA1 region. Conclusions : We showed that Achyranthis Radix alleviates ischemia-induced apoptotic neuronal cell death, thus facilitates the recovery of short-term memory impairment induced by ischemic cerebral injury.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.101-101
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• 2020

Traditional stochastic simulation of hydroclimatological variables often underestimates the variability and correlation structure of larger timescale due to the difficulty in preserving long-term memory. However, the Long Short-Term Memory (LSTM) model illustrates a remarkable long-term memory from the recursive hidden and cell states. The current study, therefore, employed the LSTM model in stochastic generation of hydrologic and climate variables to examine how much the LSTM model can preserve the long-term memory and overcome the drawbacks of conventional time series models such as autoregressive (AR). A trigonometric function and the Rössler system as well as real case studies for hydrological and climatological variables were tested. Results presented that the LSTM model reproduced the variability and correlation structure of the larger timescale as well as the key statistics of the original time domain better than the AR and other traditional models. The hidden and cell states of the LSTM containing the long-memory and oscillation structure following the observations allows better performance compared to the other tested conventional models. This good representation of the long-term variability can be important in water manager since future water resources planning and management is highly related with this long-term variability.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.166-171
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• 2023

The Stock price analysis is an increasing concern in a financial time series. The purpose of the study is to analyze the price parameters of date, high, low, and news feed about the stock exchange price. Long short term memory (LSTM) is a cutting-edge technology used for predicting the data based on time series. LSTM performs well in executing large sequence of data. This paper presents the Long Short Term Memory Model has used to analyze the stock price ranges of 10 days and 20 days by exponential moving average. The proposed approach gives better performance using technical indicators of stock price with an accuracy of 82.6% and cross entropy of 71%.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.3
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• pp.747-756
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• 2019

Students studying interpretation perform additional study and training in addition to regular class. In simultaneous interpreting and consecutive interpreting, interpreter should memorize speaker's announcement because of different language structure. To improve short-term memory, students perform memory training that requires a pair of students. Therefore, they can not perform self-learning, and therefore, efficiency of studying decreases. To resolve this problem, computer based short-term memory training system has been proposed. Student can perform self-learning by changing words in text to special character in the training system. However, efficiency of studying decreases because computer has low portability. Since the number of words is larger than the number of words to be switched into special character, learning difficulty decreases. To resolve this problem, smart device based short-term memory training system has been proposed. Student can perform smart device based training system without space constraints. Since the proposed training system increases the number of words to be changed into special character, learning difficulty increases. We implemented and evaluated the functionalities of the proposed training system.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.4
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• pp.469-476
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• 2022

This study developed a Recurrent Neural Network model implemented through Long Short-Term Memory (LSTM) that generates long-term tidal level data at Busan Port using tide observation data. The tide levels in Busan Port were predicted by the Korea Hydrographic and Oceanographic Administration (KHOA) using the tide data observed at Busan New Port and Tongyeong as model input data. The model was trained for one month in January 2019, and subsequently, the accuracy was calculated for one year from February 2019 to January 2020. The constructed model showed the highest performance with a correlation coefficient of 0.997 and a root mean squared error of 2.69 cm when the tide time series of Busan New Port and Tongyeong were inputted together. The study's finding reveal that long-term tidal level data prediction of an arbitrary port is possible using the deep learning recurrent neural network model.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.4
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• pp.91-103
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• 2021

Purpose : This study aimed to evaluate the effects of a cognitive enhancement brain yoga program on short-term memory and serum brain-derived neurotrophic factor (BDNF) levels according to the cognitive state in men aged 20-29 years. Methods : Thirty healthy volunteers aged 20-29 years were divided into four groups: brain yoga group, yoga group, combined exercise group, and control group. Seven people were assigned randomly per group. A single-session intervention was conducted over 50 min and consisted of three parts: warm-up, main exercise (brain yoga, yoga, combined exercise, or non-exercise), and cool-down. Serum BDNF levels were measured using enzyme-linked immunosorbent assay, and short-term memory was evaluated using the forward number span test before and after the intervention. Results : BDNF levels significantly increased within the brain yoga group after the intervention (from 28874.37±5185.57 to 34074.80±7321.12, p=.003), whereas there were no significant differences pre-and post-intervention in the other groups. The inter-group comparison showed a significant interaction between the brain yoga group and the combined exercise group (p=.036) but no significant interaction between any of the other groups. Forward number span scores were significantly increased in the brain yoga group (from 9.43±9.83 to 23±7.92, p=.012) and theyoga group after the intervention (from 13.43±9.41 to 24.14±8.45, p=.011), whereas there were no significant changes after the intervention in any other groups. Conclusion : Our findings showed that a single-session, 50-minute brain yoga exercise improved short-term memory and increased serum BDNF levels in healthy men aged 20-29 years and that yoga improved only short-term memory in healthy men of this age group.

• Korean Journal of Exercise Nutrition
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• v.15 no.4
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• pp.173-182
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• 2011

Post-traumatic stress disorder (PTSD) is a stress-related mental disorder induced by severe external stressors such as assault, disaster or severe accident. We investigated the effects of treadmill exercise on short-term memory in relation to apoptosis and cell proliferation in the hippocampus following PTSD. Stress to the pregnant rats was induced by exposure of maternal rats to the hunting dog in an enclosed room. Exposure time was 10 min, repeated three times per day, with 1 hour interval. Exposure of maternal rats to the hunting dog was continued 7 days after pregnancy until delivery. The pregnant rats in the exercise groups were forced to run on a treadmill for 30 min once a day for the same duration of stress exposure. Step-down avoidance task for short-term memory, western blot for Bcl-2, Bax, and immunohistochemistry for caspase-3, 5-bromo-2'-deoxyuridine (BrdU), and Ki-67 were conducted. Maternal rats exposed to stress during pregnancy showed short-term memory impairment. Expressions of Bax, Bcl-2, ratio of Bax to Bcl-2, and caspase-3 in the hippocampus were increased in the PTSD rats. Cell proliferation in the hippocampal dentate gyrus was decreased in the PTSD rats. Treadmill exercise alleviated short-term memory impairment and suppressed expressions of Bax, the ratio of Bax to Bcl-2, and caspase-3. Treadmill exercise also increased cell proliferation. The present results indicate that treadmill exercise alleviated PTSD-induced short-term memory impairment by suppressing apoptotic cell death and enhancing cell proliferation in the hippocampus.

• Journal of Information Technology Applications and Management
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• v.29 no.5
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• pp.27-37
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• 2022

This study intends to link agricultural machine history data with related organizations or collect them through IoT sensors, receive input from agricultural machine users and managers, and analyze them through AI algorithms. Through this, the goal is to track and manage the history data throughout all stages of production, purchase, operation, and disposal of agricultural machinery. First, LSTM (Long Short-Term Memory) is used to estimate oil consumption and recommend maintenance from historical data of agricultural machines such as tractors and combines, and C-LSTM (Convolution Long Short-Term Memory) is used to diagnose and determine failures. Memory) to build a deep learning algorithm. Second, in order to collect historical data of agricultural machinery, IoT sensors including GPS module, gyro sensor, acceleration sensor, and temperature and humidity sensor are attached to agricultural machinery to automatically collect data. Third, event-type data such as agricultural machine production, purchase, and disposal are automatically collected from related organizations to design an interface that can integrate the entire life cycle history data and collect data through this.