• Fisheries and Aquatic Sciences
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• 제10권3호
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• pp.159-169
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• 2007

The complex 2-dimensional movements of fish during an annual migration circuit were generated and simulated by a chaotic model of fish movement, which was expanded from a small-scale movement model. Fish migration was modeled as a neural network including stimuli, central decision-making, and output responses as variables. The input stimuli included physical stimuli (temperature, salinity, turbidity, flow), biotic factors (prey, predators, life cycle) and landmarks or navigational aids (sun, moon, weather), values of which were all normalized as ratios. By varying the amplitude and period coefficients of the klinokinesis index using chaotic equations, model results (i.e., spatial orientation patterns of migration through time) were represented as fish feeding, spawning, overwintering, and sheltering. Simulations using this model generated 2-dimesional annual movements of sea bream migration in the southern and western seas of the Korean Peninsula. This model of object-oriented and large-scale fish migration produced complicated and sensitive migratory movements by varying both the klinokinesis coefficients (e.g., the amplitude and period of the physiological month) and the angular variables within chaotic equations.

• 감성과학
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• 제8권2호
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• pp.155-160
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• 2005

본 연구는 관절통 모델에서 웅담 우황과 웅담 우황 사향의 약침액의 효과를 검사하기 위해 수행되었다. 할로탄 마취하에서 관절통은 수컷 쥐의 관절강내에 $2\%$ carrageenan을 주입하여 유발시켰다. 운동자극에 대한 감각신경의 반응은 약침을 시술하기 전과 후에 기록하였다. 경혈에 주입한 약침은 유해한 운동 자극에 대한 신경의 반응을 억제시켰다 족삼리에 시술한 약침은 합곡에 비해 유해한 자극에 대한 관절 감각신경의 반응을 더 많이 억제시켰다. 이러한 결과는 웅담 우황과 웅담 우황 사향의약침이 관절통을 완화하는 데 효과적인 치료법을 제공할 수 있다는 것을 시사한다.

• The Journal of Korean Physical Therapy
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• 제27권1호
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• pp.38-42
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• 2015

Purpose: Accuracy and variability of movement in daily life require synchronization of muscular activities through a specific chronological order of motor performance, which is controlled by higher neural substrates and/or lower motor centers. We attempted to investigate whether transcranial direct current stimulation (tDCS) over primary sensorimotor areas (SM1) could influence movement variability in healthy subjects, using a tapping task. Methods: Twenty six right-handed healthy subjects with no neurological or psychiatric disorders participated in this study. They were randomly and equally assigned to the real tDCS group or sham control group. Direct current with intensity of 1 mA was delivered over their right SM1 for 15 minutes. For estimation of movement variability before and after tDCS, tapping task was measured, and variability was calculated as standard deviation of the inter-tap interval (SD-ITI). Results: At the baseline test, there was no significant difference in SD-ITI between the two groups. In two-way ANOVA with repeated measurement no significant differences were found in a large main effect of group and interaction effect between two main factors (i.e., group factor and time factor (pre-post test)). However, significant findings were observed in a large main effect of the pre-post test. Conclusion: Our findings showed that the anodal tDCS over SM1 for 15 minutes with intensity of 1 mA could enhance consistency of motor execution in a repetitive-simple tapping task. We suggest that tDCS has potential as an adjuvant brain facilitator for improving rhythm and consistency of movement in healthy individuals.

• 한국과학예술포럼
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• 제37권3호
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• pp.125-134
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• 2019

본 연구는 영상콘텐츠 제작과정에서 배경음악 선정의 자동화를 위하여 영상의 특성을 분류, 분석할 수 있는 프로그램을 구성하였다. 연구 결과 및 내용은 다음과 같다. 영상의 특성은 '주제 범주', '감정', '픽셀 움직임 속도', '색상', '등장인물' 로 선정하며, '주제 범주'와 '감정'은 Microsoft사의 Azure Video Indexer를, '픽셀 움직임 속도'는 Optical flow, '색상'은 Image Histogram, '등장인물'은 CNN (Convolutional Neural Network)을 활용하여 데이터를 추출하였다. 이러한 본 연구의 결과는 최근 주목을 받고있는 '인터넷 1인 방송 크리에이터'들의 콘텐츠 제작과정에서 배경음악 매칭을 위한 영상 특성 분석이 이루어졌다는 점에서 의의가 있다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.124-131
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• 2000

In this study, the NEURAL NETWORK (hereinafter referred to as NN) was applied to control of the nonlinear factors for turning movement of the crawler vehicle and experiment was carried out using a small model of crawler vehicle in order to inspect an application of NN. Furthermore, CHAOS NEURAL NETWORK (hereinafter referred to as CNN) was also applied to this control so as to compare with conventional NN. CNN is especially effective for plane in many variables with local minimum which conventional NN is apt to fall into, and it is relatively useful to nonlinear factors. Experiment of turning on the slope of crawler vehicle was performed in order to estimate an adaptability of nonlinear problems by NN and CNN. The inclination angles of the road surface which the vehicles travel on, were respectively 4deg, 8deg, 12deg. These field conditions were selected by the object for changing nonlinear magnitude in turning phenomenon of vehicle. Learning of NN and CNN was carried out by referring to positioning data obtained from measurement at every 15deg in turning. After learning, the sampling data at every 15deg were interpolated based on the constructed learning system of NN and CNN. Learning and simulation programs of NN and CNN were made by C language ("Association of research for algorithm of calculating machine (1992)"). As a result, conventional NN and CNN were available for interpolation of sampling data. Moreover, when nonlinear intensity is not so large under the field condition of small slope, interpolation performance of CNN was a little not so better than NN. However, when nonlinear intensity is large under the field condition of large slope, interpolation performance of CNN was relatively better than NN.

• 센서학회지
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• 제10권1호
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• pp.52-61
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• 2001

이 논문에서는 선택적 주의 집중 기능을 갖는 도약 안구 시각 시스템을 제안한다. Saliency map 모델은 주어진 자연 영상에 대하여 선택위치를 순차적으로 출력하여 시선 이동 경로를 발생시킨다. 발생한 선택위치로의 신속한 움직임을 위하여 도약 안구 운동 모델을 개발하였다. 도약 안구 운동 모델은 시각 자극에 의한 반사적 도약 안구 운동 발생 시각 경로를 세 부분으로 구분하고, 시각 경로에 포함되는 뇌 조직들의 기능 및 역할이 반영되도록 각각의 세부 경로를 서로 다른 신경회로망을 이용하여 모델 하였다. 구현한 Saliency map 모델과 도약 안구운동 모델을 기반으로 한 능동 시각 시스템을 CCD 카메라와 BLDC 모터를 이용하여 실제 구성하고, 제안한 능동 시각 시스템이 실제 도약 안구의 움직임을 잘 추종하는지를 실험을 통하여 검증하였다.

• 한국환경독성학회:학술대회논문집
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• 한국환경독성학회 2002년도 춘계학술대회(Genomics, Proteomics, and Risk Assesment):환경독성 및 위해성 평가 국제 심포지움
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• pp.71-71
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• 2002

• 한국컴퓨터그래픽스학회논문지
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• 제26권2호
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• pp.11-19
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• 2020

캐릭터의 자세가 변할 때 마다 캐릭터의 무게 중심(COM) 위치도 변하게 된다. 이 때 무게 중심의 위치 변화는 걷기, 뛰기, 쭈그려 앉기 등 다양한 동작 각각에 대응되는 독자적인 패턴을 가지므로 이를 이용하면 원래 동작의 정보를 알아낼 수 있다. 본 논문에서는 캐릭터의 무게 중심의 위치 변화를 토대로 동작을 예측하는 모션 생성 기법을 제안한다. 이 방법을 이용하면 무게 중심 정보를 통해 원래 동작의 유형에 대한 별도의 라벨 없이도 다양한 동작을 생성할 수 있다. 그러므로 네트워크의 학습 및 실행을 위한 데이터셋을 만들 때 사람의 손을 거칠 필요 없이 전처리를 비롯한 모든 과정을 자동으로 진행할 수 있다. 본 논문에서 제안하는 신경망 모델은 캐릭터의 모션 이력(history) 정보와 무게 중심 정보들을 입력 받아 현재 프레임에서의 포즈 정보를 출력하며, 연속적인 시계열 모션 데이터를 다루기 위해 1차원 Convolution을 수행하는 간단한 형태의 Convolutional Neural Network(CNN)를 사용하여 학습되었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.645-650
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• 2003

Legged robots can avoid an obstacle by crawling-over or striding, according to the obstacle’s nature and the current state of the robot. Thus, it can be observed that the mobility efficiency to reach a destination is improved by such action. Moreover, if robots have many legs like 4-legged or 6-legged types, then the robot movement range is affected by the order of swing leg. In this paper, the avoidance action of a quadruped robot is generated by a neural network (NN) whose inputs are information on the position of the destination, the obstacle configuration and the robot's self-state. To realize a free gait in static walking, the order of swing leg is determined using an another NN whose inputs are the amount of movements and the robot’s self-state. The design parameter of the latter NN is adjusted by using genetic algorithm (GA).

• Korean Journal of Acupuncture
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• 제35권4호
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• pp.187-202
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• 2018

Objectives : Non-invasive transcranial electrical stimulation is one of therapeutic interventions to change in neural excitability of the cortex. Transcranial electro-acupuncture (TEA) can modulate brain functions through changes in cortical excitability as a model of non-invasive transcranial electrical stimulation. Some composites of fermented Scutellaria baicalenis (FSB) can activate intercellular signaling pathways for activation of brain-derived neurotrophic factor that is critical for formation of neural plasticity in stroke patients. This study was aimed at evaluation of combinatory treatment of TEA and FSB on behavior recovery and cortical neural excitability in rodent focal stroke model. Methods : Focal ischemic stroke was induced by photothrombotic injury to the motor cortex of adult rats. Application of TEA with 20 Hz and $200{\mu}A$ in combination with daily oral treatment of FBS was given to stroke animals for 3 weeks. Motor recovery was evaluated by rotating bean test and ladder working test. Electrical activity of cortical pyramidal neurons of stroke model was evaluated by using multi-channel extracellular recording technique and thallium autometallography. Results : Compared with control stroke group who did not receive any treatment, Combination of TEA and FSB treatment resulted in more rapid recovery of forelimb movement following focal stroke. This combination treatment also elicited increase in spontaneous firing rate of putative pyramidal neurons. Furthermore expression of metabolic marker for neural excitability was upregulated in peri-infract area under thallium autometallography. Conclusions : These results suggest that combination treatment of TEA and FSB can be a possible remedy for motor recovery in focal stroke.