• 한국정밀공학회지
• /
• 제17권11호
• /
• pp.151-157
• /
• 2000

The MRAC theory has proved to be one of the most popular algorithms in the field of adaptive control, particularly for practical application to devices such as an hydraulic servosystem of which parameters are unknown or varying during operation. For small sampling period, the discrete time system becomes a nonminimal phase system. The $\delta$-MRAC was introduced to obtain the control performance of nonminimal phase system, because the z-MRAC can not control the plant for small sampling period. In this paper, $\delta$-MRAC is applied to the control of an hydraulic servosystem which is composed of servovalve, hydraulic cylinder and inertia load.

• 한국컴퓨터정보학회:학술대회논문집
• /
• 한국컴퓨터정보학회 2022년도 제65차 동계학술대회논문집 30권1호
• /
• pp.353-355
• /
• 2022

본 논문에서는 외력에 의해 헤어가 움직일 때, 전체가 아닌 변형률이 큰 부분에 입자 제어점을 추가하여 베지에 곡선을 그리는 적응형 헤어 시뮬레이션 기법을 제안한다. 일반적인 정규화 샘플링을 통한 물리 시뮬레이션은 헤어의 움직임에 대한 정확도가 높은 반면, 계산량이 증가하고 메모리를 많이 차지하기 때문에 비효율적이다. 이 문제는 굽힘이 일어나는 특정 부분만 활용한 적응형 샘플링을 통해 해결할 수 있으며, 메모리뿐만 아니라 속도 측면에서도 모두 우수한 성능을 보인다. 본 논문에서 제안하는 방법을 이용한 굽힘 샘플링 기법은 헤어의 굽힘 패턴에 따라 실시간으로 표현되며 자연스럽고 부드러운 실제 헤어와 유사한 결과를 보여준다.

• 한국컴퓨터정보학회:학술대회논문집
• /
• 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
• /
• pp.559-562
• /
• 2022

본 논문에서는 젖은 머리카락의 응집력을 효율적으로 표현할 수 있는 적응형 샘플링 기법을 제안한다. 젖은 헤어는 인접 머리카락과 달라붙어 머리카락 하단으로 뭉치는 응집력 형태를 지닌다. 헤어 동역학은 수많은 입자 구조로 연결되어있으며 머리카락의 상호작용을 고려하는 젖은 헤어의 경우 응집력 계산이 개별적인 머리카락 단위로 표현되기 때문에, 이를 위한 계산과정을 효율적으로 풀어내는 것은 중요하다. 본 논문에서는 젖은 헤어의 시뮬레이션을 효율적으로 계산하기 위해 밀도와 각도, 그리고 포화도를 고려한 적응형 샘플링 기법을 제안한다. 이는 속도와 메모리 측면에서 최적화가 가능하며 헤어 입자의 추가와 삭제를 통해 사실적인 젖은 머리카락의 응집력 표현을 실시간으로 표현할 수 있다. 본 논문에서 제안하는 방법은 실제 젖은 헤어와 유사한 결과를 보여주며, 실시간 프로그램에서 사람의 젖은 모발 또는 동물의 젖은 털의 특징 등을 표현하는데 응용할 수 있다.

• 제어로봇시스템학회논문지
• /
• 제22권7호
• /
• pp.536-542
• /
• 2016

To enhance tracking efficiency, a target-tracking filter with a resource management algorithm is required. One of the resource management algorithms chooses or evaluates the proper sampling time using cost functions which are related to the target tracking filter. We propose a resource management algorithm for bearing only tracking environments. Since the tracking performance depends on the system observability, the bearing-only tracking is one of challenging target-tracking fields. The proposed algorithm provides the adaptive sampling time using the variation rate of the error covariance matrix from the target-tracking filter. The simulation verifies the efficiency performance of the proposed algorithm.

• International Journal of Naval Architecture and Ocean Engineering
• /
• 제10권6호
• /
• pp.730-740
• /
• 2018

Hydrofoil is the direct component to generate thrust for underwater glider. It is significant to improve propulsion efficiency of hydrofoil. This study optimizes the shape of a hydrofoil using Free-Form Deformation (FFD) parametric approach and Surrogate-based Optimization (SBO) algorithm. FFD approach performs a volume outside the hydrofoil and the position changes of control points in the volume parameterize hydrofoil's geometric shape. SBO with adaptive parallel sampling method is regarded as a promising approach for CFD-based optimization. Combination of existing sampling methods is being widely used recently. This paper chooses several well-known methods for combination. Investigations are implemented to figure out how many and which methods should be included and the best combination strategy is provided. As the hydrofoil can be stretched from airfoil, the optimizations are carried out on a 2D airfoil and a 3D hydrofoil, respectively. The lift-drag ratios are compared among optimized and original hydrofoils. Results show that both lift-drag-ratios of optimized hydrofoils improve more than 90%. Besides, this paper preliminarily explores the optimization of hydrofoil with root-tip-ratio. Results show that optimizing 3D hydrofoil directly achieves slightly better results than 2D airfoil.

• Journal of Information Processing Systems
• /
• 제9권2호
• /
• pp.333-348
• /
• 2013

Mobile authentication/identification has grown into a priority issue nowadays because of its existing outdated mechanisms, such as PINs or passwords. In this paper, we introduce gait recognition by using a mobile accelerometer as not only effective but also as an implicit identification model. Unlike previous works, the gait recognition only performs well with a particular mobile specification (e.g., a fixed sampling rate). Our work focuses on constructing a unique adaptive mechanism that could be independently deployed with the specification of mobile devices. To do this, the impact of the sampling rate on the preprocessing steps, such as noise elimination, data segmentation, and feature extraction, is examined in depth. Moreover, the degrees of agreement between the gait features that were extracted from two different mobiles, including both the Average Error Rate (AER) and Intra-class Correlation Coefficients (ICC), are assessed to evaluate the possibility of constructing a device-independent mechanism. We achieved the classification accuracy approximately $91.33{\pm}0.67%$ for both devices, which showed that it is feasible and reliable to construct adaptive cross-device gait recognition on a mobile phone.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권6호
• /
• pp.427-437
• /
• 2020

This study seeks to examine empirically the effect of leadership style on organizational commitment and organizational effectiveness. The data are from all departments of the undergraduate program at the State University in Central Java, Indonesia. The study comprises all divisions of the undergraduate program, which amounted to 207 people. The method for sampling is based on simple random sampling. Structural equation modeling (SEM) is applied in order to analyze the data. The results show that integrative adaptive leadership style has a positive effect on teamwork and affective commitment. Therefore, in order to improve teamwork, the organization should be assisted in completing the introduction of collaborative conflict resolution. Moreover, affective commitment positively affects organizational effectiveness. Thus, it can be said that efforts to improve the organizational effectiveness, should be supported by affective commitment. The study further revealed that integrative adaptive leadership style has a positive effect on teamwork. This means better execution of integrative adaptive leadership, higher level of coordination and vice versa. Each member has different responsibilities and duties, and it can be done or resolved in different ways. If the leader can accommodate the creativity of the faculty and staff, a solid team can be formed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제5권4호
• /
• pp.703-719
• /
• 2011

In multi-user wireless communication systems, adaptive modulation and scheduling are promising techniques for increasing the system throughput. However, a mass of wireless recourse will be occupied and spectrum efficiency will be decreased to feedback channel quality indication (CQI) of all users in every subcarrier or chunk for adaptive orthogonal frequency division multiplexing (OFDM) systems. Thus numerous limited feedback schemes are proposed to reduce the system overhead. The recently proposed compressive sensing (CS) theory provides a new framework to jointly measure and compress signals that allows less sampling and storage resources than traditional approaches based on Nyquist sampling. In this paper, we proposed two novel CQI feedback schemes based on general CS and subspace CS, respectively, both of which could be used in a wireless OFDM system. The feedback rate with subspace CS is greatly decreased by exploiting the subspace information of the underlying signal. Simulation results show the effectiveness of the proposed methods, with the same feedback rate, the throughputs with subspace CS outperform the discrete cosine transform (DCT) based method which is usually employed, and the throughputs with general CS outperform DCT when the feedback rate is larger than 0.13 bits/subcarrier.

• 한국HCI학회:학술대회논문집
• /
• 한국HCI학회 2009년도 학술대회
• /
• pp.719-724
• /
• 2009

털 렌더링은 사실적인 렌더링을 위해 많은 수의 털 데이터를 처리해야 하는 어려움이 있다. 대량의 털 데이터를 렌더링함에 있어서 가장 어려운 점은 렌더링 시간이 많이 걸린다는 점이다. 기존의 털 렌더링 방법은 털을 원통형의 실린더로 간주하고 2D 형태의 리본으로 변환하고 삼각화하여 렌더링하는 방법이다. 하지만 이 방법은 언더 샘플링(under sampling) 문제가 있고 렌더링 시간이 오래 걸린다는 단점이 있다. 이런 단점을 개선하기 위해서 이 논문에서는 새로운 알고리즘을 제안하였다. 털을 굵기에 따라 나누고 굵은 털과 가는 털에 각각의 렌더링 방법을 사용함으로써 렌더링 속도를 개선하였다. 또한 전체 렌더링 프레임워크에 대한 제안을 함으로써 보다 효과적인 렌더링을 수행할 수 있다.

• 한국정보통신학회논문지
• /
• 제8권4호
• /
• pp.879-885
• /
• 2004

본 논문에서는 DDC(Digital Down Convertor)를 가지는 디지털 수신기의 적응 신호처리에 대해 서술하였다. DDC는 NCO(Numerically Controlled Oscillator)와 디지털 LPF(Low Pass Filter)로 구성되어 있으며, 수치적 알고리즘에 의해 수신된 신호를 처리한다. 통과대역 샘플링 기법을 이용한 디지털 수신기의 시뮬레이션 결과를 보여주고 있으며, 수치적으로 처리되는 DDC에 의해 수신된 low IF 신호가 zero IF 신호로 변환되는 것을 확인하였다 또한, 고분해능을 가지는 MUSIC(Multiple Signal Classification) 알고리즘을 이용한 DOA(Direction Of Arrivals) 추정 기법을 기술하고 있다 DOA의 분해능의 정확도가 입력 샘플링 수와 안테나 소자 수에 의존하는 것을 확인하였다