• Journal of Mechanical Science and Technology
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• 제16권4호
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• pp.454-467
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• 2002

It has been established that a crack has an important effect on the dynamic behavior of a structure. This effect depends mainly on the location and depth of the crack. Toidentifythelocation and depth of a crack in a structure, a method is presented in this paper which uses neuro-fuzzy-evolutionary technique, that is, Adaptive-Network-based Fuzzy Inference System (ANFIS) solved via hybrid learning algorithm (the back-propagation gradient descent and the least-squares method) and Continuous Evolutionary Algorithms (CEAs) solving sir ale objective optimization problems with a continuous function and continuous search space efficiently are unified. With this ANFIS and CEAs, it is possible to formulate the inverse problem. ANFIS is used to obtain the input(the location and depth of a crack) - output(the structural Eigenfrequencies) relation of the structural system. CEAs are used to identify the crack location and depth by minimizing the difference from the measured frequencies. We have tried this new idea on beam structures and the results are promising.

• 인지과학
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• 제17권4호
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• pp.375-398
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• 2006

인간은 보고, 듣고, 따라하고, 행하고, 느끼면서 배운다. 이 모든 과정에 뇌가 관여한다. 최근 뇌과학 연구의 비약적 발전과 뇌과학 연구와 인지과학 연구의 활발한 협력은 '뇌기반 학습과학(Brain-Based Learning Science)', '교육신경과학(Educational Neuroscience)', 혹은 신경교육학(Neuro-Education)이라 불리우는 새로운 연구 분야를 탄생시켰다. 뇌기반 학습과학은 기존의 '학습과학'을 넘어서 실제 학습과 교육환경에 적지 않은 변화를 줄 것으로 기대되는 만큼 그 가능성에 대해 회의적인 입장도 공존하고 있다. 이 논문에서는 뇌기반 학습과학의 정의와 기본가정을 살펴보고, 인지신경과학의 최신 연구가 어떻게 이루어지고 있는지를 소개하고 이러한 연구결과에서 교육적 함의를 도출해 보고자 하였다. 또한 신경계에 대한 신화적 사고와 그 문제점을 열거하고, 뇌과학과 학습-교육 현장의 연계 가능성 및 향후 뇌기반 학습과학의 전망과 한계에 대해 논의하였다.

• Molecular & Cellular Toxicology
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• 제5권2호
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• pp.147-152
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• 2009

This study was conducted to evaluate the inflammatory mechanisms of LPS-stimulated BV-2 microglial cells. The inflammation mechanism was evaluated in BV-2 cells with or without LPS treated using the Affymetrix microarray analysis system. The microarray analysis revealed that B cell receptor signaling pathway, cytokine-cytokine receptor interaction, Jak-STAT signaling pathway, MAPK signaling pathway, Neuro-active ligand-receptor interaction, TLR signaling path-way, and T cell receptor signaling pathway-related genes were up-regulated in LPS stimulated BV-2 cells. Selected genes were validated using real time RTPCR. These results can help an effective therapeutic approach to alleviating the progression of neuro-in-flammatory diseases.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 1993년도 제5회 한글 및 한국어정보처리 학술대회
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• pp.317-328
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• 1993

본 논문은 신경망과 퍼지 이론을 결합한 한국어 철자 교정기 KSCNN(Korean Spelling Corrector using Neural Network)에 대하여 기술한다. KSCNN은 퍼셉트론(perceptron) 학습을 이용한 연상 메모리(associative memory)로 구성되며 자판 배열 특성을 고려한 퍼지 멤버쉽 함수에 의해 신경망의 입력값을 정한다. 본 철자 교정기의 장점은 인지적인 방법으로 철자를 교정하기 때문에 기존의 VA나 BNA와는 달리 오류의 종류에 영향을 받지 않으며 교정된 철자나 후보자들에 대한 견인값(attraction value)을 측정하여 시스템의 신뢰도를 높일 수 있다는 데 있다. 또한, 본 논문은 실험을 통해서 퍼지 멤버쉽 함수에 의한 입력 노드의 활성화가 자판 배열특성을 고려할 수 있기 때문에 시스템의 성능을 향상시킨다는 사실을 보여준다.

• 대한간호학회지
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• 제48권3호
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• pp.298-310
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• 2018

Purpose: The purpose of this study was to examine the effects of the laughter therapy program on perceived stress and psycho-neuro-endocrine-immune responses in obese women. Methods: A nonequivalent control group with a pretest-posttest design was used. The participants (n=60), whose age ranged from 30 to 50 years (pre-menopausal and body mass index of over $25kg/m^2$), were assigned to the experimental group (n=24) or control group (n=26). The experimental group was provided with the laughter therapy program (12 sessions) for 6 weeks. Results: There were significant differences in perceived stress, psychological stress response, fasting blood sugar, interleukin-6, and tumor necrosis factor alpha between the two groups after the program. However, there were no significant differences in normalized low frequency (norm LF), normalized high frequency (norm HF), LF/HF ratio, and cortisol between the two groups after the program. Conclusion: It was found that the laughter therapy program had positive effects on some variables in terms of perceived stress and psycho-neuro-endocrine-immuno responses. It is suggested that the laughter therapy in this study can provide the direction for developing a program for obese women.

• Steel and Composite Structures
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• 제34권1호
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• pp.155-170
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• 2020

Different parameters potentially affect the properties of corroded reinforced concrete beams. However, the high number of these parameters and their dependence cause that the effectiveness of the parameters could not be simply identified. In this study, an adaptive neuro-fuzzy inference system (ANFIS) was employed to determine the most influencing parameters on the properties of the corrosion-damaged reinforced concrete beams. 207 ANFIS models were developed to analyze the collected data from 107 reinforced concrete (RC) beams. The impact of 23 input parameters on nine output factors was investigated. The results of the paper showed the order of influence of each input parameter on the outputs and revealed that the input parameters regarding the uncorroded properties of concrete beams are the most influencing factors on the corresponding corroded properties of the beams.

• 통합자연과학논문집
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• 제11권4호
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• pp.167-183
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• 2018

Electroencephalogram (EEG) recording provides a new way to support human-machine communication. It gives us an opportunity to analyze the neuro-dynamics of human cognition. Machine learning is a powerful for the EEG classification. In addition, machine learning can compensate for high variability of EEG when analyzing data in real time. However, the optimal EEG electrode location must be prioritized in order to extract the most relevant features from brain wave data. In this paper, we propose an intelligent system model for the extraction of EEG data by training the optimal electrode location of EEG in a specific problem. The proposed system is basically a fuzzy system and uses a neural network structurally. The fuzzy clustering method is used to determine the optimal number of fuzzy rules using the features extracted from the EEG data. The parameters and weight values found in the process of determining the number of rules determined here must be tuned for optimization in the learning process. Genetic algorithms are used to obtain optimized parameters. We present useful results by using optimal rule numbers and non - symmetric membership function using EEG data for four movements with the right arm through various experiments.

• 한국안전학회지
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• 제37권1호
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• pp.78-87
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• 2022

In the risk assessment of urban railway systems, a hazard log is created by identifying hazards from accident and failure data. Then, based on a risk matrix, evaluators analyze the frequency and severity of the occurrence of the hazards, conduct the risk assessment, and then establish safety measures for the risk factors prior to risk control. However, because subjective judgments based on the evaluators' experiences affect the risk assessment results, a more objective and automated risk assessment system must be established. In this study, we propose a risk assessment model in which an adaptive neuro-fuzzy inference system (ANFIS), which is combined in artificial neural networks (ANN) and fuzzy inference system (FIS), is applied to the risk assessment of urban railway systems. The newly proposed model is more objective and automated, alleviating the limitations of risk assessments that use a risk matrix. In addition, the reliability of the model was verified by comparing the risk assessment results and risk control priorities between the newly proposed ANFIS-based risk assessment model and the risk assessment using a risk matrix. Results of the comparison indicate that a high level of accuracy was demonstrated in the risk assessment results of the proposed model, and uncertainty and subjectivity were mitigated in the risk control priority.

• 한국엔터테인먼트산업학회논문지
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• 제15권5호
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• pp.45-53
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• 2021

디지털 몰핑은 영화의 내러티브를 효과적으로 표현하면서 현실 넘어서는 상상을 사실로 구현한다. <블랙 스완>(2013)에서 디지털적으로 구현된 몰핑 이미지는 포스트 시네마로서 오늘날 영화의 특징을 잘 보여주고 있는데, 컴퓨터 기술을 적극적으로 활용해 마술 같은 환각적 이미지를 제공한다. 디지털 몰핑 기술은 주인공이 발레를 추는 동안 기괴하게 변형되어 가는 신체를 현실과 환영이 구분되지 않게 제시함으로써 충격을 준다. 이러한 이미지는 어트랙션 효과로 그치지 않고 신자유주의 시대의 강도를 정동의 흐름으로 가시화해 낸다. 신체 변형의 기이한 효과는 신자유주의 현실의 징후인 것이다. 또한 이러한 몰핑 이미지는 파트리샤 피스터스가 말한 신경-이미지 체제의 부상을 말해준다. 디지털 스크린에 나타난 신경 병리학적인 양상들은 신경-이미지에 해당되는 것으로, 들뢰즈의 시간-이미지 체제를 넘어서 미래의 시간성을 띤다. <블랙 스완>의 몰핑의 경우 니나의 신체가 흑조와 혼종화 되어서 계속적으로 변화하는 동안 신경-이미지적인 특성이 두드러지게 나타난다. 신경 이미지로서 이 영화의 디지털 몰핑은 주체가 겪는 현실의 충격을 조절하는 효과를 지닌다. 이 영화의 몰핑은 디지털 시대의 사회적 통제의 효과이자 그 통제를 조절하는 포스트 시네마의 역량을 보여주고 있다.

• 한국약용작물학회지
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• 제27권6호
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• pp.365-375
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• 2019

Background: Oxidative stress plays an important role in neuro-degenerative disorders such as Alzheimer's disease. Oxidative stress is mediated by reactive oxygen species (ROS), which are implicated in the pathogenesis of numerous diseases, and account for the toxicity of a wide range of compounds. Methods and Results: In order to study the neuro-protective effect of the complex extracts of Aster scaber Thunberg (AS) and Chaenoleles sinensis Koehne (CSK) against hydrogen peroxide in PC12 cells, cell viability was evaluated by the MTT assay using tetrazole, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide and the intracellular ROS levels were determined the by 2',7'-dichlorofluorescein diacetate (DCF-DA) assay. In order to examine the anti-amnesic effects of the complex extracts of AS and CSK, behavioral tests were performed on male ICR mice. The ameliorating effect of the complex extracts against Aβ_1-42-induced learning and memory impairment was analyzed by y-maze and passive avoidance tests. The AS and CSK extracts showed neuro-protective activity both in vitro and in vivo, and the neuro-protective effect of their 60 : 40 (AS : CSK) mixture was better than that of the other mixtures. Moreover, the complex extracts synergistically inhibited acetylcholinesterase activity and rapid peroxidation. Conclusions: A mixture of the AS and CSK extracts could be used to develop functional foods and serve as raw materials for the development of therapeutics against Alzheimer's disease.