• 한국기계연구소 소보
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• s.19
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• pp.125-139
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• 1989

As an adaptive control function generator, the CMAC (Cerebellar Model Arithmetic or Articulated Controller) based learning control has drawn a great attention to realize a rather robust real-time manipulator control under the various uncertainties. There remain, however, inherent problems to be solved in the CMAC application to robot motion control or perception of sensory information. To apply the CMAC to the various unmodeled or modeled systems more efficiently, it is necessary to analyze the effects of the CMAC control parameters on the trained net. Although the CMAC control parameters such as size of the quantizing block, learning gain, input offset, and ranges of input variables play a key role in the learning performance and system memory requirement, these have not been fully investigated yet. These parameters should be determined, of course, considering the shape of the desired function to be trained and learning algorithms applied. In this paper, the interrelation of these parameters with learning performance is investigated under the basic learning schemes presented by authors. Since an analytic approach only seems to be very difficult and even impossible for this purpose, various simulations have been performed with pre specified functions and their results were analyzed. A general step following design guide was set up according to the various simulation results.

• Journal of vocational education research
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• v.29 no.3
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• pp.133-156
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• 2010

This study examines corporate support in learning on individual participation in learning and organizational learning. For this purpose, First, what does corporate support in learning affect individual participation in learning? Second, what does corporate support in learning and individual participation influence organizational learning? This study analyzed 1,268 employees at 139 companies. Sample sizes averaged about 9.22 employee per corporate. This paper used statistical method of hierarchical linear model. Above all, the findings show that corporate support in both formal and informal learning has meaningful effect on individual participation in formal learning and relationship. The findings reveal that corporate support in formal learning has influence on capacity, organizational memory, learning competency, adaptation to environment except sharing value. Furthermore, individual participation in learning has positive effect of increased organizational learning in all areas. In particular, it is shown that participation in informal relationship plays an important role to improve individuals' organizational learning ability.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.19-27
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• 2020

In this paper, we propose a machine learning method for diagnosing the failure of a gas pressure regulator. Originally, when implementing a machine learning model for detecting abnormal operation of a facility, it is common to install sensors to collect data. However, failure of a gas pressure regulator can lead to fatal safety problems, so that installing an additional sensor on a gas pressure regulator is not simple. In this paper, we propose various machine learning approach for diagnosing the abnormal operation of a gas pressure regulator with only the flow rate and gas pressure data collected from a gas pressure regulator itself. Since the fault data of a gas pressure regulator is not enough, the model is trained in all classes by applying the over-sampling method. The classification model was implemented using Gradient boosting, 1D Convolutional Neural Networks, and LSTM algorithm, and gradient boosting model showed the best performance among classification models with 99.975% accuracy.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.5
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• pp.124-130
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• 2017

Character encoding is the method used to represent characters or symbols on a computer, and there are many encoding detection software tools. For the widely used encoding detection software"uchardet", the accuracy of encoding detection of unmodified normal text document is 91.39%, but the accuracy of language detection is only 32.09%. Also, if a text document is encrypted by substitution, the accuracy of encoding detection is 3.55% and the accuracy of language detection is 0.06%. Therefore, in this paper, we propose encoding and language detection of text document using the deep learning algorithm called LSTM(Long Short-Term Memory). The results of LSTM are better than encoding detection software"uchardet". The accuracy of encoding detection of normal text document using the LSTM is 99.89% and the accuracy of language detection is 99.92%. Also, if a text document is encrypted by substitution, the accuracy of encoding detection is 99.26%, the accuracy of language detection is 99.77%.

• Journal of the Korean earth science society
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• v.26 no.6
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• pp.469-476
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• 2005

The objective of this study is to investigate the effects of a new learning method called, 'e-Learning,' by applying this method on a middle school science curriculum and study the influence it has on the students’ short and long term memory. The study was performed on two classes of sixth grade students at 'K middle school' in Yangsan. By handing out structured study assignment in e-Learning, I was able to observe how it affected the learners’ short and long term retention. The results of the study were as follows: First, classes that underwent studies using e-Learning did not show any influence on short term retention. Second, e-Learning had positive influence on long term retention. Third, learners who experienced e-Learning had positive cognition on e-Learning.

• Korean Journal of Cognitive Science
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• v.23 no.4
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• pp.425-455
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• 2012

Multi-dimensional verbal short-term memory mechanisms are largely divided into the phonological channel and the lexical-semantic channel. The former is called phonological short-term memory and the latter is called semantic short-term memory. Phonological short-term memory is further segmented into the phonological input buffer and the phonological output buffer. In this study, the language performance of each of three patients with similar levels of conduction aphasia was analyzed in terms of multi-dimensional verbal short-term memory. To this end, three patients with conduction aphasia were instructed to perform four different aspects of language tasks that are spontaneous speaking, repetition, spontaneous writing, and dictation in both word and sentence level. Moreover, the patients' phonological memories and semantic short-term memories were evaluated using digit span tests and verbal learning tests. As a result, the three subjects exhibited various types of performances and error responses in the four aspects of language tests, and the short-term memory tests also did not produce identical results. The language performance of three patients with conduction aphasia can be explained according to whether the defects occurred in the semantic short-term memory, phonological input buffer and/or phonological output buffer. In this study, the relations between language and multi-dimensional verbal short-term memory were discussed based on the results of language tests and short-term memory tests in patients with conduction aphasia.

• Korean Journal of Food Science and Technology
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• v.45 no.5
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• pp.661-665
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• 2013

The aim of this study was to investigate the anti-amnesic effect of daebo (Castanea crenata) extract on trimethyltin chloride (TMT)-induced learning and memory impairment, in vivo. The inner skin of daebo was extracted using distilled water under reflux conditions. At the end of the adaptation period, ICR mice were divided into a control group, a TMT injection group (negative control), and a sample group (C5: 5 mg/kg body weight; C10: 10 mg/kg body weight; and C20: 20 mg/kg body weight), and were tested with learning and memory tests. The ethylacetate fraction of the daebo inner skin extract was found to increase TMT-induced memory deficit in the Y-maze and passive avoidance test. Brain tissue analysis showed that the ethylacetate fraction of daebo extract lowered the acetylcholine esterase (AChE) activity and malondialdehyde (MDA) content of neuronal cells, both of which are indicative of lipid peroxidation.

• BMB Reports
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• v.42 no.1
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• pp.6-15
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• 2009

The most common genetic disorder Down syndrome (DS) displays various developmental defects including mental retardation, learning and memory deficit, the early onset of Alzheimer's disease (AD), congenital heart disease, and craniofacial abnormalities. Those characteristics result from the extra-genes located in the specific region called 'Down syndrome critical region (DSCR)' in human chromosome 21. In this review, we summarized the recent findings of the DYRK1A and RCAN1 genes, which are located on DSCR and thought to be closely associated with the typical features of DS patients, and their implication to the pathogenesis of neural defects in DS. DYRK1A phosphorylates several transcriptional factors, such as CREB and NFAT, endocytic complex proteins, and AD-linked gene products. Meanwhile, RCAN1 is an endogenous inhibitor of calcineurin A, and its unbalanced activity is thought to cause major neuronal and/or non-neuronal malfunction in DS and AD. Interestingly, they both contribute to the learning and memory deficit, altered synaptic plasticity, impaired cell cycle regulation, and AD-like neuropathology in DS. By understanding their biochemical, functional and physiological roles, we hope to get important molecular basis of DS pathology, which would consequently lead to the basis to develop the possible therapeutic tools for the neural defects in DS.

• Journal of Physiology & Pathology in Korean Medicine
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• v.28 no.3
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• pp.337-345
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• 2014

The present study examined the effects of soybean-derived phosphatidylserine (SB-PS) on the learning and memory function and the neural activity in rats with trimethyltin (TMT)-induced memory deficits. The cognitive improving efficacy of SB-PS on the amnesic rats, which was induced by TMT, was investigated by assessing the Morris water maze test and by performing cholineacetyl transferase (ChAT), acetylcholinesterase (AChE) and cAMP responsive element binding protein (CREB) immunohistochemistry. A positron emission tomography (PET) scanning the rat brain was by performed administer 18F-Fluorodeoxy-glucose (18F-FDG). The rats with TMT injection showed impaired learning and memory of the tasks and treatment with SB-PS produced a significant improvement of the escape latency to find the platform in the Morris water maze at the 2nd day compared to that of the MCT group. In the retention test, the SB-PS group showed increased time spent around the platform compared to that of the MCT group. Consistent with the behavioral data, SB-PS 50 group significantly alleviated the loss of acetyl cholinergic neurons in the hippocampus compared to that of the MCT group. Treatment with SB-PS significantly increased the CREB positive neurons in the hippocampus as compared to that of the MCT group. In addition, SB-PS groups increased the glucose uptake in the hippocampus and SB-PS 50 group increased the glucose uptake in the frontal lobe, as compared to that of the MCT group. These results suggest that SB-PS may be useful for improving the cognitive function via regulation of cholinergic marker enzyme activity and neural activity.

• The Korean Journal of Pain
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• v.35 no.3
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• pp.261-270
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• 2022

Background: The rostral ventromedial medulla (RVM) is a critical region for the management of nociception. The RVM is also involved in learning and memory processes due to its relationship with the hippocampus. The purpose of the present study was to investigate the molecular mechanisms behind orexin-A signaling in the RVM and hippocampus's effects on capsaicin-induced pulpal nociception and cognitive impairments in rats. Methods: Capsaicin (100 g) was applied intradentally to male Wistar rats to induce inflammatory pulpal nociception. Orexin-A and an orexin-1 receptor antagonist (SB-334867) were then microinjected into the RVM. Immunoblotting and immunofluorescence staining were used to check the levels of cyclooxygenase-2 (COX-2) and brain-derived neurotrophic factor (BDNF) in the RVM and hippocampus. Results: Interdental capsaicin treatment resulted in nociceptive responses as well as a reduction in spatial learning and memory. Additionally, it resulted in decreased BDNF and increased COX-2 expression levels. Orexin-A administration (50 pmol/1 µL/rat) could reverse such molecular changes. SB-334867 microinjection (80 nM/1 µL/rat) suppressed orexin's effects. Conclusions: Orexin-A signaling in the RVM and hippocampus modulates capsaicin-induced pulpal nociception in male rats by increasing BDNF expression and decreasing COX-2 expression.