• 한국콘텐츠학회논문지
• /
• 제9권2호
• /
• pp.309-317
• /
• 2009

본 연구는 뇌손상 흰쥐에서 기억과 학습훈련을 통해 인지기능회복과 해마의 신경 성장인자에 미치는 영향을 알아보고자 하였다. 뇌손상은 Sprague-Dawley계 흰쥐 36마리를 중대뇌동맥(middle cerebral artery)을 폐색하여 유발하였고, 실험 군들은 3개 군으로 분류하였다; 실험 군 I은 뇌손상유발 군(n=12), 실험 군 II는 뇌손상 유발 후 트레드밀훈련 군(n=12), 실험 군 Ⅲ은 뇌손상 유발 후 기억과 학습훈련 군(n=12)으로 나누었다. 인지기능 검사를 위해 수중모리스미로 습득검사와 파지검사를 실시하였으며, 조직학적 검사는 해마조직의 BDNF(brain-derived neurotrophic factor) 면역조직화학 반응을 관찰하였다. 수중모리스미로 습득 검사(Morris water maze acquisition test)는 시간과 군사이의 교호작용이 유의한 차이가 나타났고(p<.001), III군에서 9일에서 12일째까지 원형도피대를 찾는 시간이 I, II군에 비해 단축되었다. 수중모리스미로 파지검사(retention test)는 군 사이에서도 유의한 차이가 나타났으며(p<.001), 13일째 III군에서 원형도피대가 있었던 사분원에 배회하는 시간이 가장 길었다. 조직학적 검사는 III군에서 7일째 해마조직의 CA1에서 BDNF의 면역조직화학반응이 I, II군에 비해 면역양성반응의 증가를 관찰하였다. 뇌손상 흰쥐에서 기억과 학습훈련이 신경성장인자 발현 변화와 이로 인한 신경연접 가소성의 변화를 통해 인지기능회복에 더 좋은 영향을 주었다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.195-195
• /
• 2000

In this paper, intelligent control method using neural network as a nonlinear controller is presented, Neural network controller is implemented on DSP board in PC to make real time computing possible, On-line training algorithm for neural network control is proposed, As a test-bed, a large a-x table was build and interface with PC has been implemented, Experimental results under different PD controller gains show excellent position tracking for circular trajectory compared with those for PD controller only.

• 한국전문물리치료학회지
• /
• 제12권4호
• /
• pp.7-11
• /
• 2005

The purposes of this study were to investigate the effects of variability of training on the acquisition of motor skill of closed loop type tracking task using Rotary Pursuit, and to determine if there was a bilateral transfer effect to the non-dominant hand following practice with the dominant hand. Twelve healthy volunteer students (5 males and 7 females, aged 25 to 37) were randomly divided into a constant practice group and a variable practice group. A photoelectric rotary pursuit apparatus with stop clock and repeat cycle timer by Lafayette Instrumentation Co. was used for this study. Rotary pursuit is a closed loop task in which a subject attempts to keep a photoelectric stylus on a lighted target in motion. Subjects performed the clockwise circular pursuit task while standing. Experimental procedure was divided into three sessions, namely, pre-test, training, and post-test. The constant group practiced all 60 trials at 30 rpm. Variable practice group did a varied practice session with 15 trials at speeds of 20 rpm, 26 rpm, 34 rpm, and 46 rpm. No one in either group practiced with their non-dominant arm. A Mann-Whitney test and a Wilcoxon Signed Ranks test were used for statistical analyses. The results of this study showed no different training effect between groups on the post-test with the dominant hand. However, bilateral transfer effect of rotary pursuit task between hands was demonstrated. Possible mechanisms are discussed.

• 한국항공우주학회지
• /
• 제35권9호
• /
• pp.783-791
• /
• 2007

FAA AC 120-63 등급 C 또는 FTD 등급 5에 규정된 헬리콥터 모의 비행 훈련장치에 사용될 단일 로터 회전익기의 수학적 모델에 대해 고찰하였다. 선정된 비행 운동 모델의 비행 운동 성능 평가를 통해서 그 유용성을 파악하였다. 이로부터 훈련은 물론 조종 성능시험이 가능한 비행 훈련장치 개발을 통해서 헬리콥터 비행성 평가를 위한 모의 비행 시험환경을 구현하였다.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2001년도 하계학술대회 논문집 D
• /
• pp.2726-2728
• /
• 2001

This paper describes an optimal synthesis method of binary neural network(BNN) for an approximation problem of a circular region using a newly proposed learning algorithm[7] Our object is to minimize the number of connections and neurons in hidden layer by using a Newly Expanded and Truncated Learning Algorithm(NETLA) for the multilayer BNN. The synthesis method in the NETLA is based on the extension principle of Expanded and Truncated Learning(ETL) and is based on Expanded Sum of Product (ESP) as one of the boolean expression techniques. And it has an ability to optimize the given BNN in the binary space without any iterative training as the conventional Error Back Propagation(EBP) algorithm[6] If all the true and false patterns are only given, the connection weights and the threshold values can be immediately determined by an optimal synthesis method of the NETLA without any tedious learning. Futhermore, the number of the required neurons in hidden layer can be reduced and the fast learning of BNN can be realized. The superiority of this NETLA to other algorithms was proved by the approximation problem of one circular region.

• 한국통신학회논문지
• /
• 제31권2A호
• /
• pp.103-109
• /
• 2006

OFDM 시스템은 전송단과 수신단의 발진기의 불일치로 인해 발생하는 주파수 오프셋의 영향에 민감하다는 단점을 가지고 있다. 주파수 오프셋은 정수 부분과 소수 부분으로 구분할 수 있다. 정수 부분 주파수 오프셋은 부반 송파 사이의 직교성에는 영향을 주지는 않지만, 수신된 데이터 심볼들 간에 순환성 천이를 일으켜 비트 오류 확률이 0.5가 되게 한다. 이 논문에서는 다중 경로 페이딩(multipath fading) 채널 환경에서 학습 심볼 하나 만을 요구하면서 최대 우도(Maximum Likelihood: ML) 함수를 이용한 새로운 정수 부분 주파수 오프셋 추정 방법을 제안한다. 제안한 방법이 학습 심볼의 수를 줄여 줄뿐만 아니라, 복잡성을 늘이지 않으면서 성능이 우수함을 모의 실험을 통해 보인다.

• 대한인간공학회지
• /
• 제19권2호
• /
• pp.47-61
• /
• 2000

To study the characteristic of the weight center control of humans, the tracking control capability of circular and wave motion by weight center movement was conducted by using the force platform. The control performance(the integrated value of the $|Object\;value(X)-Control\;Value(Y)|^{2}$) and control trace record was used to evaluate the individual performance characteristics. The size of the population for this study was 73, which consisted of engineering students, students majoring in taekwondo, students majoring in dance, all of which were in their twenties, and also people in their sixties. The results of this study indicate that the weight center control characteristics of humans can be represented by the evaluation method and values. People who were capable of tracking the object did not stop nor overshot the objective. In addition, habits or training characteristics and aging seemed to influence the performance of the subjects. In the future, development of different objectives for weight center control could be used to determine the severity of the disease of the subject and the effects of the treatment.

• 한국해양공학회지
• /
• 제13권4호통권35호
• /
• pp.143-150
• /
• 1999

Multipurpose fisheries base was conceptually designed to establish marine ranching system in the coastal waters around Tongyoung, southern sea of Korea. Fisheries base for marine ranching system has integrated various facilities which were required for the process of spawning, rearing, training, releasing, monitoring and catching functions. This base has five steel piles for supporting upper structure and systems. Four steel piles are surrounded by circular net pen made by steel wire, they have the function of the protection against fouling for pile and scouring for bottom soil as well as secondary rearing and short stocking. We can use the last pile to moor a ship and access to the base. Principal structure with steel piles is designed by optimization technique considering design external forces in the coastal waters of return period of 50 years. Design optimization Problem is formulated for this base. Optimal design of multipurpose fisheries base is numerically investigated by sequential quadratic programming method.

• 제어로봇시스템학회논문지
• /
• 제7권11호
• /
• pp.918-926
• /
• 2001

In this paper, intelligent control method using neural network as a nonlinear controller is presented. Simulation studies for three link rotary robot are performed. Neural network controller is implemented on DSP board in PC to make real time computing possible. On-line training algorithms for neural network control are proposed. As a test-bed, a large x-y table was build and interface with PC has been implemented. Experiments such as inverted pendulum control and large x-y table position control are performed. The results for different PD controller gains with neural network show excellent position tracking for circular trajectory compared with those for PD controller only. Neural control scheme also works better for controlling inverted pendulum on x-y table.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 1995년도 추계학술대회 논문집
• /
• pp.1054-1058
• /
• 1995

There have been many research works for the indirect cutting force measurement in machining process, which deal with the case of one-axis cutting process. In multi-axis cutting process, the main difficulties to estimate the cutting forces occur when the feed direction is reversed. This paper presents the indirect cutting force measurement method in contour NC milling processes by using current signals of servo motors. An artificial neural network (ANN) system are suggested. An artificial neural network(ANN) system is also implemented with a training set of experimental cutting data to measure cutting force indirectly. The input variables of the ANN system are the motor currents and the feedrates of x and y-axis servo motors, and output variable is the cutting force of each axis. A series of experimental works on the circular interpolated contour milling process with the path of a complete circle has been performed. It is concluded that by comparing the ANN system with a dynamometer measuring cutting force directil, the ANN system has a good performance.