• 대한수학회보
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• 제53권5호
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• pp.1327-1339
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• 2016

Self-organizing systems arise very naturally in artificial intelligence, and in physical, biological and social sciences. In this paper, we modify the classic Cucker-Smale model at both microscopic and macroscopic levels by taking the target motion pattern driving forces into consideration. Such target motion pattern driving force functions are properly defined for the line-shaped motion pattern and the ball-shaped motion pattern. For the modified Cucker-Smale model with the prescribed line-shaped motion pattern, we have analytically shown that there is a flocking pattern with an asymptotic flocking velocity. This is illustrated by numerical simulations using both symmetric and non-symmetric pairwise influence functions. For the modified Cucker-Smale model with the prescribed ball-shaped motion pattern, our simulations suggest that the solution also converges to the prescribed motion pattern.

• 한국의류학회지
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• 제20권1호
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• pp.113-127
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• 1996

In this study, the pattern was copied by the method of Tight Fitting Techinque, which resulted from the changed body by the upper limb motion-front-vertical motion(or vertical motion in front), side-vertical motion, and horizontal motion. And, this study analyzed the change of the pattern and the observed items dimension changed to the pattern. The results are as follows: 1. In the observation of the degree of the pattern change according to the motion of upper limb, the result provides that the motion change in the range of $135^{\circ}$ to $180^{\circ}$ is the largest in front-vertical motion, $45^{circ}~90^{\circ}$ in side-vertical motion, and $0^{circ}~45^{\circ}$ in horizontal motion respectively. 2. The probability test result of the items of the motion is more related with the horizontal width item rather than the vertical length item in the front and back pattern where the back pattern has more effect than the front pattern. And the upper limb-surrounding items are more related than any otheer item. 3. The change of the pattern according to the motion shows the decrese of the neck width and the shoulder legth, the rising of the point of shoulder (or shoulder point) and armpit point, the decrease of the pattern width and the increase of the pattern length. As the angle of the motion grows vertically motion. The change of the shoulder length in the horizontal motion is smaller than that vertical. But as the angle of the motion grows horizontally, it has a tendency of decreas in th width of the front patten and the length of the pattern, whereas the width of the back pattern is noticeably increases.

• Journal of Platform Technology
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• 제6권3호
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• pp.23-30
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• 2018

동작 패턴 생성이란 로봇이 어떤 동작을 안정하게 수행하기 위해 미리 안정적인 동작 궤적을 계산해 내는 것을 말하며 자세 제어는 미리 생성된 동작 패턴을 이용하여 동작을 수행하는 도중 발생하는 외란을 제거하여 로봇의 자세를 안정 하게 만들어주는 것을 말한다. 본 논문에서는 수치적 방법이나 로봇의 상체 구조를 간략화하여 근사적으로 생성하는 기존의 보행 패턴 방법과는 다르게 범용적으로 사용 가능한 뉴럴네트워크 학습기법을 이용한 로봇의 동작패턴 생성방법에 대하여 연구한다.

• 공학교육연구
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• 제15권4호
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• pp.48-52
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• 2012

The purpose of this paper is to design and implement the user motion pattern control system for the simulated vehicle. After analyzing the user motion patterns in the system, the patterns are used to control the moving direction of the simulated vehicle such as forward, backward, turn right, turn left etc. The patterns in the system around are sent to the simulated vehicle in real time. In order to execute the suggested user motion pattern control system, the Kinect is used for executing the system. The Kinect recognizes the specified user motion patterns and it transmits the data to the user motion pattern control system. There are nine kinds of the user motion patterns in the system for controlling the simulated vehicle. In addition to this, some sensors are used to detect the condition of the simulated vehicle. GPS is also used to estimate the current location of the simulated vehicle and to obtain the driving information.

• 한국전문물리치료학회지
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• 제28권1호
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• pp.13-17
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• 2021

A normal range of motion is essential for performing activities of daily living. The capsular pattern is the proportional motion restriction in range of motion during passive exercises due to tightness of the joint capsule. Although the capsular pattern is widely referred to in clinical practice, there is no scientific evidence to support the concept. In this review, the appropriateness of the capsular pattern for evaluation of joint pathology was assessed. In the Textbook of Orthopaedic Medicine written by Cyriax, the capsular pattern did not specify how much reduction in angular motion is considered motion restriction. As the definition proposed initially was unclear, different methods have been used in previous studies investigating capsular pattern. In addition, the capsular pattern described all the major joints of the human body, but only the hip joint, knee joint, and shoulder joint were studied in experimental studies. Sensitivity and specificity were reported in one study and were meaningful in specific pathologies (loss of extension to loss of flexion). There was no consensus on the reliability and validity. In summary, the capsular pattern suggested by Cyriax or Kaltenborn is not supported or applies only to certain conditions. Various components around a joint complement each other and provide stability to the joint. It is recommended that the therapist perform multiple assessments rather than rely on a single assessment when evaluating joints.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.339-342
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• 2005

We present an efficient block-based motion estimation algorithm with motion analysis. The motion analysis determines a size of search pattern and a maximum repeated count of search pattern. In case of large movement in large image, we reduce search points and the local minimum which caused by low performance. The proposed algorithm employs with searching step of 2. The first step determines an initial search point with neighbor block vector and a size of initial search pattern. The second step determines a size of search pattern and a maximum repeated count with motion analysis. We improve motion prediction accuracy while reducing required computational complexity compared to other fast block-based motion estimation algorithms.

• PNF and Movement
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• 제18권3호
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• pp.435-444
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• 2020

Purpose: This study aimed to compare the elector spine muscle tone using the irradiation of the proprioceptive neuromuscular facilitation (PNF) arm pattern according to angular motion. Methods: Thirty subjects participated in this study. Elector spine muscle tone was measured using a Myotonpro device while in the sitting position according to the angular motion (70°, 100°, 130°) of the PNF arm pattern using a D1 flexion pattern. Each angular motion of the PNF arm pattern was performed with a continuous passive motion (CPM). The change in elector spine muscle tone was statistically evaluated using a repeated one-way ANOVA test. Post-hoc analysis was performed using the Bonferroni method. Results: The results revealed a significant change in elector spine muscle tone when performing the PNF arm pattern using D1 flexion pattern. Specifically, the elector spine muscle tone had significantly increased at 100° and 130° motion in the PNF arm pattern when compared to the initial muscle tone (p < 0.05). No significant muscle tone changes were noted for any of the angular motions of the PNF upper arm pattern (p > 0.05). Conclusion: The results of this study indicate a positive increase in elector spine muscle tone with irradiation of the PNF upper arm pattern exercise with 100° or 130° angular motion. The minimum angle at which the effect of the irradiation of the PNF arm pattern could be seen was 100°.

• 정보처리학회논문지B
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• 제10B권7호
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• pp.811-814
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• 2003

본 논문에서는 십자패턴과 육각패턴을 이용한 고속 블록 정합 동작 예측 기법을 제안한다. 블록 기반 탐색에서 전역 탐색방법이 가장 좋은 동작벡터를 찾지만, 탐색영역 내의 모든 전을 검색하기 때문에 많은 시간을 필요로 하게 된다. 본 방법은 대부분의 동영상에서 동작벡터가 블록의 중심 부근에 집중적으로 분포함을 착안하여 십자패턴으로 중앙을 우선 탐색한 다음 움직임이 큰 동작벡터를 육각패턴을 사용하여 찾는다. 실험결과, 본 방법은 기존의 탐색방법보다 화질과 탐색시간에서 대부분의 경우에 좋은 성능을 보임을 알 수 있다.

• 한국정보통신학회논문지
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• 제13권8호
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• pp.1527-1533
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• 2009

본 논문에서는 MVP 분포의 움직임 방향 치우침 특성을 이용한 방향성 탐색 패턴을 디자인하고, 탐색점의 이동 방향에 따라 탐색 패턴을 적응적으로 변화시키는 방향 적응적 십자형 다이아몬드 탐색 방법을 제안 한다. 제안한 방법은 이웃 매크로 블록으로부터 모션 벡터를 예측하고, 예측한 모션 벡터를 이용하여 초기 움직임 방향을 설정 한다. 탐색 과정에서 BMP의 이동 방향에 따라 제안한 탐색 패턴을 적응적으로 변화시킴으로써 탐색 효율을 향상시킨다. 실험 결과, 제안한 방법 은 움직임 추정에 소요되는 계산량을 기존의 십자형 다이아몬드 탐색에 비해 $0.43%{\sim}1.76%$ 감소시킴으로써 고속 움직임 추정이 가능함을 알 수 있었다.

• 대한전자공학회논문지SP
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• 제41권2호
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• pp.73-78
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• 2004

본 논문에서는 블록정합 알고리즘을 영상 블록들의 상관도 함수로 모델링하여, 고속 블록정합 방법을 위한 탐색 패턴을 유도하였으며, 이는 고속 블록정합 방법에서 주로 사용되는 다이아몬드 형태의 탐색 패턴에 대한 이론적인 기반을 제공한다. 이와 더불어, 능동적인 탐색 패턴과 물체의 움직임에 따른 통계적인 특성을 사용하여 새로운 고속 블록정합 움직임 예측방법을 제안하였다. 적절한 움직임 탐색 패턴을 얻기 위해 움직임 벡터와 영상간 블록들의 차이값 사이의 통계적인 관계를 이용하였다. 제안한 방법을 움직임 탐색 패턴을 능동적으로 변화시키면서 다른 고속 블록정합 방법들과 비교해 보면, 요구되는 탐색점의 개수를 감소시키면서 움직임 예측성능을 향상됨을 확인할 수 있었다.