• 대한한의학회지
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• 제21권2호
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• pp.25-36
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• 2000

Objectives : This study demonstrates the effects of Daejo-hwan on learning and memory impairment induced by L-NAME (75 mg/kg) treatment and on cerebral ischemic damage induced by middle cerebral artery (MCA) occlusion in rats. Methods : Daejo-hwan emulsion (73.3 mg/100 g/l ml) was administered to rats along a timed study schedule. The Moms water maze was used for learning and memory test of the rats. The MCA was occluded by using the intraluminal thread method. The brain slices were stained by 2 % triphenyl tetrazolium chloride (TTC) and 1 % cresyl violet solution. Infarct size, neuron cell number and size in penumbra was measured by using computer image analysis system. Results : 1. The escape latency of the Daejo-hwan treated group decreased significantly with respect to the control group. 2.The memory score of the Daejo-hwan treated group showed increase tendency, And the swimming distance was not different between the normal, the control, and the Daejo-hwan treated group. 3. The infarct size of the Daejo-hwan treated group decreased significantly with respect to the control group. 4. The total infarct volume of the Daejo-hwan treated group showed decrease tendency. And the brain edema index of the Daejo-hwan treated group decreased significantly with respect to the control group. 5. The neuron cell number and cell size in penumbra of the Daejo-hwan treated group increased significantly with respect to the control group. Conclusions : According to the above results, it is supposed that Daejo-hwan is clinically applicable to the vascular dementia.

• The Korean Journal of Physiology and Pharmacology
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• 제13권2호
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• pp.85-89
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• 2009

Puerariae flos (PF) is a traditional oriental medicinal plant and has clinically been prescribed for a long time. The purpose of the present study was to examine the effect of PF on repeated stress-induced alterations of learning and memory on a Morris water maze (MWM) test in ovariectomized (OVX) female rats. The changes in the reactivity of the cholinergic system were assessed by measuring the immunoreactive neurons of choline acetyltransferase (ChAT) in the hippocampus after behavioral testing. The female rats were randomly divided into four groups: the nonoperated and nonstressed group (normal), the sham-operated and stressed group (control), the ovariectomized and stressed group (OS), and the ovariectomized, stressed and PF treated group (OSF). Rats were exposed to immobilization stress (IMO) for 14 d (2 h/d), and PF (400 mg/kg, p.o.) was administered 30 min before IMO stress. Results showed that treatments with PF caused significant reversals of the stress-induced deficits in learning and memory on a spatial memory task, and also increased the ChA T immunoreactivities. In conclusion, administration of PF improved spatial learning and memory in OVX rats, and PF may be useful for the treatment of postmenopausal-related dementia.

• 한국멀티미디어학회논문지
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• 제10권11호
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• pp.1516-1522
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• 2007

FPA(Fixed Partition Averaging) 기법은 기억공간의 효율적인 사용과 분류성능의 향상을 위하여 제안되었던 메모리 기반 추론 기법으로 대상 패턴 공간을 분할 한 후 대표 패턴을 추출하여 분류 기준 패턴으로 사용한다. 이 기법은 메모리 사용 효율과 분류 성능 면에서 우수한 결과를 보인다. 그러나 여러 클래스가 혼합된 분할패턴공간의 경우에 원래의 패턴들을 그대로 저장하여 메모리와 분류성능에 부담으로 작용하는 문제점을 가지고 있다. 본 논문에서는 여러 클래스가 혼합된 분할공간에서 패턴비율을 고려하여 고정분할을 반복적으로 실행하여 초월평면을 생성하고 분류하는 반복적 고정분할평균기법을 제안한다. 본 논문에서 제안한 기법은 기존의 k-NN 기법과 비교하여 현저하게 줄어든 대표패턴을 이용하여 유사한 분류 성능을 보여주며, NGE 이론을 구현한 EACH 시스템과 FPA 기법 등과 비교하여 탁월한 분류 성능을 보여준다.

• Biomolecules & Therapeutics
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• 제22권5호
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• pp.467-473
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• 2014

The purpose of this study is to investigate the memory enhancing effect and underlying molecular mechanism of arabinoxylan (AX), a major component of dietary fiber in wheat against scopolamine (SCO)-induced amnesia in Sprague-Dawley (SD) rats. Diverse behavior tests including Y-maze, Morris water maze, and passive avoidance tests were performed to measure cognitive functions. SCO significantly decreased the spontaneous alterations in Y-maze test and step-through latency in passive avoidance test, whereas increased time spent to find the hidden platform in Morris water maze test compared with the sham control group. In contrast, oral administration of AX (25 mg/kg and 50 mg/kg) effectively reversed the SCO-induced cognitive impairments in SD rats. Furthermore, AX treatment up-regulated the expression of brain-derived neurotrophic factor (BDNF) in the cortex and hippocampus via promoting activation of cAMP response element binding protein (CREB). Therefore, our findings suggest that AX can improve SCO-induced learning and memory impairment possibly through activation of CREB and up-regulation of BDNF levels, thereby exhibiting a cognition-enhancing potential.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.249-251
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• 2021

본 논문에서는 노령층 인구가 도보시 일어날 수 있는 낙상상황을 텐서플로워를 이용하여 인지하기 위한 시스템에 대하여 소개한다. 낙상감지는 고령자의 몸에 착용한 가속센서 데이터에 대해서 텐서플로워를 이용하여 학습된 LSTM(long short-term memory)을 기반하여 낙상과 일상생활을 판별한다. 각각 7가지의 행동 패턴들에 대하여 학습을 실행하며, 4가지는 일상생활에서 일어나는 행동 패턴이고, 나머지 3가지는 낙상시의 패턴에 대하여 학습한다. 3축 가속도 센서의 가공하지 않은 데이터와 가공한 SVM(Sum Vector Magnitude)를 이용하여 LSTM에 적용해서 학습하였다. 이 두 가지 경우에 대해서 테스트한 결과 데이터를 혼합하여 학습하면 더 좋은 결과를 기대할 수 있을 것으로 예상된다.

• 전자공학회논문지B
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• 제33B권2호
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• pp.118-130
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• 1996

Fuzzy inference is very useful in expressing ambiguous problems quantitatively and solving them. But like the most of the knowledge based inference systems. It has many difficulties in constructing rules and no learning capability is available. In this paper, we proposed a fuzzy inference system based on fuzy associative memory to solve such problems. The inference system proposed in this paper is mainly composed of learning phase and inference phase. In the learning phase, the system initializes it's basic structure by determining fuzzy membership functions, and constructs fuzzy rules in the form of weights using learning function of fuzzy associative memory. In the inference phase, the system conducts actual inference using the constructed fuzzy rules. We applied the fuzzy inference system proposed in this paper to a pattern classification problem and show the results in the experiment.

• 통합자연과학논문집
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• 제11권4호
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• pp.204-208
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• 2018

Comparison of different optimizer performance in photovoltaic power modeling using artificial neural deep learning techniques is described in this paper. Six different deep learning optimizers are tested for Long-Short-Term Memory networks in this study. The optimizers are namely Adam, Stochastic Gradient Descent, Root Mean Square Propagation, Adaptive Gradient, and some variants such as Adamax and Nadam. For comparing the optimization techniques, high and low fluctuated photovoltaic power output are examined and the power output is real data obtained from the site at Mokpo university. Using Python Keras version, we have developed the prediction program for the performance evaluation of the optimizations. The prediction error results of each optimizer in both high and low power cases shows that the Adam has better performance compared to the other optimizers.

• Nuclear Engineering and Technology
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• 제54권4호
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• pp.1230-1244
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• 2022

This paper proposes an algorithm for signal validation using unsupervised methods in emergency situations at nuclear power plants (NPPs) when signals are rapidly changing. The algorithm aims to determine the stuck failures of signals in real time based on a variational auto-encoder (VAE), which employs unsupervised learning, and long short-term memory (LSTM). The application of unsupervised learning enables the algorithm to detect a wide range of stuck failures, even those that are not trained. First, this paper discusses the potential failure modes of signals in NPPs and reviews previous studies conducted on signal validation. Then, an algorithm for detecting signal failures is proposed by applying LSTM and VAE. To overcome the typical problems of unsupervised learning processes, such as trainability and performance issues, several optimizations are carried out to select the inputs, determine the hyper-parameters of the network, and establish the thresholds to identify signal failures. Finally, the proposed algorithm is validated and demonstrated using a compact nuclear simulator.

• BMB Reports
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• 제49권4호
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• pp.199-200
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• 2016

Gene regulation in the brain is essential for long-term plasticity and memory formation. Despite this established notion, the quantitative translational map in the brain during memory formation has not been reported. To systematically probe the changes in protein synthesis during memory formation, our recent study exploited ribosome profiling using the mouse hippocampal tissues at multiple time points after a learning event. Analysis of the resulting database revealed novel types of gene regulation after learning. First, the translation of a group of genes was rapidly suppressed without change in mRNA levels. At later time points, the expression of another group of genes was downregulated through reduction in mRNA levels. This reduction was predicted to be downstream of inhibition of ESR1 (Estrogen Receptor 1) signaling. Overexpressing Nrsn1, one of the genes whose translation was suppressed, or activating ESR1 by injecting an agonist interfered with memory formation, suggesting the functional importance of these findings. Moreover, the translation of genes encoding the translational machineries was found to be suppressed, among other genes in the mouse hippocampus. Together, this unbiased approach has revealed previously unidentified characteristics of gene regulation in the brain and highlighted the importance of repressive controls.

• 생약학회지
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• 제41권3호
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• pp.196-203
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• 2010

Black sesame (Sesami semen nigrum) has been used to treat dizziness, earnoise, constipation in the traditional Chinese medicine. In the present study, we assessed memory enhancing properties of 70% ethanolic extract of black sesame (EBS70) and its ameliorating activities on learning and memory impairments induced by scopolamine. Drug-induced amnesia was made by scopolamine treatment (1 mg/kg, i.p.). Single EBS70 (200 mg/kg, p.o.) administration significantly enhanced cognitive function and attenuated scopolamine-induced cognitive impairments as determined by the passive avoidance and Y-maze tasks (P<0.05) and also reduced escape-latency on the Morris water maze task (P<0.05). In addition, EBS70 increased BDNF expression in hippocampus 4 h after its administration (P<0.05). These results suggest that EBS70 enhances learning and memory in normal state and attenuates amnesic state caused by cholinergic dysfunction.