• 제목/요약/키워드: artificial noise(AN)

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노이즈가 완화된 거품 효과를 표현하기 위한 인공신경망 기반의 투영맵 정제 (Refinement of Projection Map Based on Artificial Neural Networks to Represent Noise-Reduced Foam Effects)

  • 김종현
    • 한국컴퓨터그래픽스학회논문지
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    • 제27권4호
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    • pp.11-24
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    • 2021
  • 본 논문에서는 액체 시뮬레이션에서 표현되는 거품 효과(Foam effects)를 노이즈 없이 디테일하게 표현할 수 있는 인공신경망 프레임워크를 제안한다. 거품 입자의 생성 위치와 이류는 기존의 스크린 투영법을 활용하여 계산되며, 이 과정에서 나타나는 노이즈 문제를 인공신경망을 통해 풀어낸다. 스크린 투영 접근법에서 중요한 것은 투영맵이지만 이산화된 스크린 공간에 운동량을 투영하는 과정에서 투영맵에 노이즈가 발생하며, 우리는 인공신경망 기반의 디노이징(Denoising) 네트워크를 활용하여 이 문제를 효율적으로 풀어낸다. 투영맵을 통해 거품 생성 영역이 선별되면 2D를 3D 공간으로 역변환하여 거품 입자를 생성한다. 우리는 작은 크기의 거품들이 소실되는 기존의 디노이징 네트워크 문제를 해결하였다. 뿐만 아니라, 제안하는 알고리즘을 스크린 공간 투영 프레임워크와 통합함으로써 이 접근법이 갖는 모든 장점을 그대로 수용할 수 있다. 결과적으로 깔끔한 거품 효과 뿐만 아니라, 디노이징 과정으로 인해 소실된 거품을 안정적으로 표현할 수 있는지 다양한 실험을 통해 보여준다.

인공생명 알고리듬을 이용한 프로팅 링 저널 베어링 지지 축계의 최적설계 (Optimum design of rotor supported on floating ring journal bearing by the enhanced artificial life optimization algorithm)

  • 송진대;석호일;양보석
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문집
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    • pp.1034-1037
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    • 2002
  • This paper presents an optimum design of rotor-bearing system using a hybrid method to compute the solutions of optimization problem. The present hybrid algorithm namely Enhanced Artificial Life Algorithm(EALA), is a synthesis of an artificial life algorithm(ALA) and the random tabu search(R-tabu) method. We applied EALA to the optimum design of rotor-shaft system supported by the floating ring journal bearings. we will propose the optimum shape of rotor, position and shape of bearings. Through this study, we investigate the reliability and usefulness of EALA.

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인공생명 알고리듬을 이용한 프로팅 링 저널 베어링 지지 축계의 최적설계 (Optimum design of rotor supported on floating ring journal bearing by the enhanced artificial life optimization algorithm)

  • Song, Jin-Dea;Suk, Ho-Il;Yang, Bo-Suk
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문초록집
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    • pp.400.1-400
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    • 2002
  • This paper presents an optimum design of rotor-bearing system using a hybrid method to compute the solutions of optimization problem. The present hybrid algorithm, namely Enhanced Artificial Life Algorithm(EALA), is a synthesis of an artificial life algorithm(ALA) and the random tabu search(R-tabu) method. We applied EALA to the optimum design of rotor-shaft system supported by the floating ring journal bearings. (omitted)

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위성통신 시스템에서 수신기 모뎀 성능을 시험하기 위한 인위 잡음 발생 방법 (An artificial noise generation method for MODEM performance test in satellite communication system)

  • 조태종
    • 한국인터넷방송통신학회논문지
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    • 제20권4호
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    • pp.59-64
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    • 2020
  • 위성통신 시스템에서 모뎀의 성능을 시험하는 경우가 종종 발생한다. 하지만 일반적으로 위성단말 수신기는 높은 신호 대 잡음비(Signal to Noise Ratio, SNR)을 확보되도록 설계되어 있어서 시스템 단위에서의 모뎀 성능을 확인하기 위해서는 인위적인 악조건을 조성해야 한다. 대표적인 방법으로는 위성 중계기의 출력을 조절하거나 잡음 발생 계측기를 이용하는 것이지만, 현실적으로 이는 비용과 시간, 절차가 많이 소요된다. 이를 극복하기 위해 본 논문에서는 효율적인 위성단말 수신기의 잡음 레벨을 인위적으로 발생하여 SNR을 조절하는 방법을 제안한다. 우선, 일반적인 헤테로다인 위성단말 수신기의 SNR을 계산하였고, 수식에 기초하여 저잡음 증폭장치 앞 단에 가변 감쇠기를 추가한 모델을 제시하였다. 시뮬레이션 결과 가변 감쇠기가 추가된 위성단말 수신기에서는 인위적으로 잡음이 발생되었으며, 이를 통해 위성통신 시스템에서 모뎀 성능 시험이 가능하다는 것을 확인하였다.

중간 지지된 유체 유동 외팔형 원통셸의 임계유속 (Critical Fluid Velocity of Fluid-conveying Cantilevered Cylindrical Shells with Intermediate Support)

  • 김영완
    • 한국소음진동공학회논문집
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    • 제21권5호
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    • pp.422-429
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    • 2011
  • The critical fluid velocity of cantilevered cylindrical shells subjected to internal fluid flow is investigated in this study. The fluid-structure interaction is considered in the analysis. The cantilevered cylindrical shell is supported intermediately at an arbitrary axial position. The intermediate support is simulated by two types of artificial springs: translational and rotational spring. It is assumed that the artificial springs are placed continuously and uniformly on the middle surface of an intermediate support along the circumferential direction. The steady flow of fluid is described by the classical potential flow theory. The motion of shell is represented by the first order shear deformation theory (FSDT) to account for rotary inertia and transverse shear strains. The effect of internal fluid can be considered by imposing a relation between the fluid pressure and the radial displacement of the structure at the interface. Numerical examples are presented and compared with existing results.

Online correction of drift in structural identification using artificial white noise observations and an unscented Kalman Filter

  • Chatzi, Eleni N.;Fuggini, Clemente
    • Smart Structures and Systems
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    • 제16권2호
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    • pp.295-328
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    • 2015
  • In recent years the monitoring of structural behavior through acquisition of vibrational data has become common practice. In addition, recent advances in sensor development have made the collection of diverse dynamic information feasible. Other than the commonly collected acceleration information, Global Position System (GPS) receivers and non-contact, optical techniques have also allowed for the synchronous collection of highly accurate displacement data. The fusion of this heterogeneous information is crucial for the successful monitoring and control of structural systems especially when aiming at real-time estimation. This task is not a straightforward one as measurements are inevitably corrupted with some percentage of noise, often leading to imprecise estimation. Quite commonly, the presence of noise in acceleration signals results in drifting estimates of displacement states, as a result of numerical integration. In this study, a new approach based on a time domain identification method, namely the Unscented Kalman Filter (UKF), is proposed for correcting the "drift effect" in displacement or rotation estimates in an online manner, i.e., on the fly as data is attained. The method relies on the introduction of artificial white noise (WN) observations into the filter equations, which is shown to achieve an online correction of the drift issue, thus yielding highly accurate motion data. The proposed approach is demonstrated for two cases; firstly, the illustrative example of a single degree of freedom linear oscillator is examined, where availability of acceleration measurements is exclusively assumed. Secondly, a field inspired implementation is presented for the torsional identification of a tall tower structure, where acceleration measurements are obtained at a high sampling rate and non-collocated GPS displacement measurements are assumed available at a lower sampling rate. A multi-rate Kalman Filter is incorporated into the analysis in order to successfully fuse data sampled at different rates.

마커 자동 인식 향상 방법에 관한 연구 (The study for improve a method of Marker auto- identification)

  • 이현섭
    • 한국운동역학회지
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    • 제13권1호
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    • pp.23-38
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    • 2003
  • The purpose of this study is to develop an improved marker auto-identification algorithm for reduce of data processing time through improve the efficiency of noise elimination and marker separation. The maker auto-identification algorithm was programming named KUMAS used Delphi language. For the study, various experiments were conducted for the verification of KUMAS. and compared two systems of established with the KUMAS. Four different motions - cycling, gait, rotation, and pendulum -, were selected and tested. Motions were filmed 30Hz frames rate per second. ${\chi}^2$ used for statistical analysis. Significant level were ${\alpha}=.05$. The test results were as follow. 1. Increased the success ratio of marker auto-identification. 2. The efficiency of marker auto-identification was remarkably improved through marker separation, noise elimination. 3. The marker auto-identification ability was improved in 2D-image plane include the 3D motion. 4. Significant different were found between KUMAS and B-SYS(established system) with non-input the artificial noise frames, input the artificial noise frames and total frames.

천해역 선박 소음 자동 탐지를 위한 인공지능 기법 적용 (Application of the artificial intelligence for automatic detection of shipping noise in shallow-water)

  • 김선효;정섬규;강돈혁;김미라;조성호
    • 한국음향학회지
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    • 제39권4호
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    • pp.279-285
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    • 2020
  • 항행 선박의 시·공간적 모니터링 기술 연구는 연안 해양공간에서 해양 생태계 보호 및 효율적인 관리를 위해서 중요하다. 본 연구에서는 실험해역에서 측정된 선박 소음 특징인 광대역 줄무늬 패턴 자료에 인공지능 기술을 적용하여 항행하는 선박을 자동 탐지하는 연구를 수행하였다. 소음 스펙트럼 이미지와 선박의 항행정보를 수집하기 위한 해상시험은 2016년 7월 15일부터 26일까지 제주 남부 해역에서 실시되었고, 컨볼루션 신경망 모델은 수집된 이미지를 기반으로 학습, 교차검증 과정을 거쳐 최적화되었다. 선박 소음 자동 탐지 기법의 성능은 정밀도(0.936), 재현율(0.830), 평균 정밀도(0.824) 그리고 정확도(0.949)로 평가되었다. 결론적으로 인공지능 기법을 활용하여 선박 소음의 자동 탐지 가능성을 확인하였다. 본 연구의 결과로부터 성능을 향상시킬 수 있는 방안 및 향후 연구에 대하여 제안하였다.

건축 설비기기 소음의 특성 및 평가에 관한 연구 (A Study on the Evaluation and Characteristics of Architectural Facility-equipment Noise in Building)

  • 변운섭;최둘;김재수
    • 설비공학논문집
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    • 제21권10호
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    • pp.537-544
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    • 2009
  • On account of the technological development, intelligent building is on increasing where the artificial regulation on indoor environment is possible, thence the concern about those facilities such as water-supply facility, water-heater and drainage facility has becomes higher. However, due to diversification and complicated system of the facility-equipments, the noise generating from such facility equipment is gradually becoming a problem, and since especially equipment noises arising at the machine room frequently infringe into the resident's pleasant living environment with the complex types of an air-borne sound and a structure-borne sound, it is becoming the civil complaint. On such viewpoint, this Study ever observed the characteristics of noise generating from various facility-equipments in the building, and intended to evaluate the facility-noises by use of the valuation index such as PSIL, N, NC, NR. As result of, the facilities noise which happens in the machine room makes normal conversation very difficult due to high sound pressure level. Based on such data, this study is willing to present it as an essential material for establishment an efficient measure against the facility-noises arising at machine room hereafter.

Transmitter Beamforming and Artificial Noise with Delayed Feedback: Secrecy Rate and Power Allocation

  • Yang, Yunchuan;Wang, Wenbo;Zhao, Hui;Zhao, Long
    • Journal of Communications and Networks
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    • 제14권4호
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    • pp.374-384
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    • 2012
  • Utilizing artificial noise (AN) is a good means to guarantee security against eavesdropping in a multi-inputmulti-output system, where the AN is designed to lie in the null space of the legitimate receiver's channel direction information (CDI). However, imperfect CDI will lead to noise leakage at the legitimate receiver and cause significant loss in the achievable secrecy rate. In this paper, we consider a delayed feedback system, and investigate the impact of delayed CDI on security by using a transmit beamforming and AN scheme. By exploiting the Gauss-Markov fading spectrum to model the feedback delay, we derive a closed-form expression of the upper bound on the secrecy rate loss, where $N_t$ = 2. For a moderate number of antennas where $N_t$ > 2, two special cases, based on the first-order statistics of the noise leakage and large number theory, are explored to approximate the respective upper bounds. In addition, to maintain a constant signal-to-interferenceplus-noise ratio degradation, we analyze the corresponding delay constraint. Furthermore, based on the obtained closed-form expression of the lower bound on the achievable secrecy rate, we investigate an optimal power allocation strategy between the information signal and the AN. The analytical and numerical results obtained based on first-order statistics can be regarded as a good approximation of the capacity that can be achieved at the legitimate receiver with a certain number of antennas, $N_t$. In addition, for a given delay, we show that optimal power allocation is not sensitive to the number of antennas in a high signal-to-noise ratio regime. The simulation results further indicate that the achievable secrecy rate with optimal power allocation can be improved significantly as compared to that with fixed power allocation. In addition, as the delay increases, the ratio of power allocated to the AN should be decreased to reduce the secrecy rate degradation.