• Title/Summary/Keyword: 적응 최적화

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Improvement of Search Efficiency in Optimization Algorithm using Self-adaptive Harmony Search Algorithms (매개변수 자가적응 화음탐색 알고리즘의 성능 비교를 통한 최적해 탐색 효율 향상)

  • Choi, Young Hwan;Lee, Ho Min;Yoo, Do Guen;Kim, Joong Hoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.1-11
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    • 2018
  • In various engineering fields, determining the appropriate parameter set is a cumbersome and difficult task when solving optimization problems. Despite the appropriate parameter setting through parameter sensitivity analysis, there are limits to evaluating whether the parameters are appropriate for all optimization problems. For this reason, kinds of a Self-adaptive Harmony searches have been developed to solve various engineering problems by the appropriate setting of algorithm's own parameters according to the problem. In this study, various types of Self-adaptive Harmony searches were investigated and the characteristics of optimization were categorized. Six algorithms with a differentiation of optimization process were applied and compared with not only the mathematical optimization problem, but also the engineering problem, which has been applied widely in the algorithm performance comparisons. The performance of each algorithm was compared, and the statistical performance indicators were used to evaluate the application results quantitatively.

Threshold Selection Method for Capacity Optimization of the Digital Watermark Insertion (디지털 워터마크의 삽입용량 최적화를 위한 임계값 선택방법)

  • Lee, Kang-Seung;Park, Ki-Bum
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.1
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    • pp.49-59
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    • 2009
  • In this paper a watermarking algorithm is proposed to optimize the capacity of the digital watermark insertion in an experimental threshold using the characteristics of human visual system(HVS), adaptive scale factors, and weight functions based on discrete wavelet transform. After the original image is decomposed by a 3-level discrete wavelet transform, the watermarks for capacity optimization are inserted into all subbands except the baseband, by applying the important coefficients from the experimental threshold in the wavelet region. The adaptive scale factors and weight functions based on HVS are considered for the capacity optimization of the digital watermark insertion in order to enhance the robustness and invisibility. The watermarks are consisted of gaussian random sequences and detected by correlation. The experimental results showed that this algorithm can preserve a fine image quality against various attacks such as the JPEG lossy compression, noise addition, cropping, blurring, sharpening, linear and non-linear filtering, etc.

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Implementation of Neural Filter Optimal Algorithms for Image Restoration (영상복원용 신경회로망 필터의 최적화 알고리즘 구현)

  • Lee, Bae-Ho;Mun, Byeong-Jin
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.7
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    • pp.1980-1987
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    • 1999
  • Restored image is always lower quality than original one due to distortion and noise. The purpose of image restoration is to improve the image quality by fixing the noise or distortion information. One category of spatial filters for image restoration is linear filter. This filter algorithm is easily implemented and can be suppressed the Gaussian noise effectively, but not so good performance for spot or impulse noise. In this paper, we propose the nonlinear spatial filter algorithm for image restoration called the optimal adaptive multistage filter(OAMF). The OAMF is used to reduce the filtering time, increases the noise suppression ratio and preserves the edge information. The OAMF optimizes the adaptive multistage filter(AMF) by using weight learning algorithm of back-propagation learning algorithm. Simulation results of this filter algorithm are presented and discussed.

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Optimal Design of a Hybrid Structural Control System using a Self-Adaptive Harmony Search Algorithm (자가적응 화음탐색 알고리즘을 이용한 복합형 최적 구조제어 시스템 설계)

  • Park, Wonsuk
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.6
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    • pp.301-308
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    • 2018
  • This paper presents an optimal design method of a hybrid structural control system considering multi-hazard. Unlike a typical structural control system in which one system is designed for one specific type of hazard, a simultaneous optimal design method for both active and passive control systems is proposed for the mitigation of seismic and wind induced vibration responses of structures. As a numerical example, an optimal design problem is illustrated for a hybrid mass damper(HMD) and 30 viscous dampers which are installed on a 30 story building structure. In order to solve the optimization problem, a self-adaptive Harmony Search(HS) algorithm is adopted. Harmony Search algorithm is one of the meta-heuristic evolutionary methods for the global optimization, which mimics the human player's tuning process of musical instruments. A self-adaptive, dynamic parameter adjustment algorithm is also utilized for the purpose of broad search and fast convergence. The optimization results shows that the performance and effectiveness of the proposed system is superior with respect to a reference hybrid system in which the active and passive systems are independently optimized.

Performance Evaluation of Variable-Vocabulary Isolated Word Speech Recognizers with Maximum a Posteriori (MAP) Estimation-Based Speaker Adaptation in an Office Environment (최대 사후 추정 화자 적응을 이용한 가변어휘 고립단어 음성인식기의 사무실 환경에서의 성능 평가)

  • 권오욱
    • The Journal of the Acoustical Society of Korea
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    • v.17 no.2
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    • pp.84-89
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    • 1998
  • 본 논문에서는 임의의 단어를 인식하기 위하여 음성학적으로 최적화된 (phonetically-optimized word) 음성 데이터베이스를 사용하여 훈련된 가변어휘 고립단위 음 성인식기의 실제 인식기 사용 환경에서의 성능을 평가하였다. 이를 위하여, 훈련 데이터베이 스에서와 상이한 환경에서 수집된 음성학적으로 균형 잡힌(phonetically-balanced word) 고 립 단어 음성을 테스트 데이터로 사용하였다. 테스트 데이터는 일반적인 사무실에서 작동하 는 노트북 PC에서 내장 마이크를 사용하여 녹음되었다. 이렇게 녹음된 음성을 사용하여 고 립단어 인식기의 인식률을 측정하였다. 이 인식기는 최대 사후(maximum a posteriori) 추정 알고리듬을 사용하여 화자의 변화에 적응하였다. 컴퓨터 모의실험 결과에 의하면 화자 적응 을 하지 않은 기본 시스템은 깨끗한 음성에 대하여 81.3%에서 사무실 환경 음성에 대하여 69.8%로 인식률이 저하되었다. 사무실 환경 음성에 대하여, 비교사 점진(unsupervised incremental) 모드에서 최대 사후 추정 화자 적응 알고리듬을 적용하였을 경우에는 화자적 응을 하지 않은 경우에 비하여 9%의 에러를 감소시키며, 50단어의 적응 단어를 사용하여 교사 묶음(supervised batch) 모드에서 최대 사후 추정 화자 적응 알고리듬을 적용하였을 경우에는 16%의 에러를 감소시켰다.

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Design of Smart OTT Platform based on the Analysis of Adaptive Buffering (적응 버퍼링 성능분석 기반의 스마트 OTT 플랫폼 설계☆)

  • Kim, Inki;Kang, Mingoo
    • Journal of Internet Computing and Services
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    • v.17 no.4
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    • pp.19-26
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    • 2016
  • In this paper, the dynamic buffering based smart OTT platform was proposed, and analyzed for adaptive bit-rate video delivery with the optimization of HLS (HTTP Live Streaming). This platform consists of the software platform between sever and client which detects the bandwidth capacity, and adjusts the quality of the streaming for multiple bit-rates resolutions. In order to apply adaptive buffering, two buffers are added to the basic HLS player, and each buffer is responsible for constantly buffering a previous and the next channels relative to the current channel. This adaptive transmitting with smart OTT platform is superior to delivering a static video file at a single buffering, because the video stream of adaptive double buffers can be switched streaming according to client's available network speed. As a result, this proposed smart OTT can be cooperated to the application of HLS server with segmented H.265 MPEG-2 TS video & m3u8 files with its information based on the optimized transmission channel state of live and VOD, and applied to PLC transmission, too.

Optimum Transmission Method with Energy Saving and Frame length on the Adaptive Modulation Mobile System (적응변조 이동통신 시스템의 프레임 길이와 에너지소비에 따른 적절한 전송방법)

  • Oh, Euy-Kyo
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.401-406
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    • 2013
  • In this paper, the optimum transmission method is proposed to save the energy and to increase the throughput of the adaptive modulation mobile radio system with frame length control. Traditionally, adaptive modulation has been used to improve the throughput using the power margin of the system design. Considering the frame length vs energy saving and adaptive modulation, the optimum transmission method is proposed for hub and mobile station each.

Performance Analysis of Tentative Decision Devices for Adaptive Parallel Interference Canceller in DS-CDMA System (DS-CDMA 시스템에서 적응 병렬간섭제거기의 시험검파기에 대한 성능분석)

  • Lee, Sang-Hoon;Kim, Nam
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.9A
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    • pp.1492-1498
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    • 2001
  • DS-CDMA 시스템에서 다중 사용자간섭에 의한 성능 저하를 방지하기 위하여 비교적 구조가 간단하고, 성능이 우수한 병렬 간섭제거기가 이용된다. 본 논문에서는 병렬간섭제거기에 이용되는 기존 검파기의 파라미터의 최적화를 통하여 적응 병렬간섭제거기의 성능을 분석하고, 새로운 시험검파기인 HTNZ 검파방식을 제안한다. 적응 병렬간섭제거기는 기존의 부분 병렬간섭제거기에서 사용하는 고정된 값의 가중치를 NLMS 적응 알고리즘을 이용하여 적응적으로 계산하는 방법을 사용하였다. 시뮬레이션 결과 제안하는 방법이 기존의 hard 검파방식에 비해 사용자 용량이 57% 증가하는 향상된 결과를 얻었다.

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An Optimal Design of Neuro-Fuzzy Logic Controller Using Lamarckian Co-adaptation (라마키안 상호 적응에 의한 뉴로-퍼지 제어기의 최적 설계)

  • 이한별;김대진
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.10a
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    • pp.384-389
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    • 1998
  • 본 논문은 특정 응용에 적합한 퍼지 제어기의 최적 설계 파라메터(퍼지 규칙과 소속 함수)를 찾는데 역전파 학습 과정과 유전 알고리즘을 결합한 Lamarckian 상호적응 기법을 이용한 뉴로-퍼지 제어기의 새로운 설계 방법을 제안한다. 설계 파라메타들은 진화에 의한 전역적 탐색을 통해 높은 포함값과 유용한 퍼지 규칙들을 갖는 규칙 베이스와 작은 근사화 오차와 좋은 제어 성능을 갖는 소속 함수들을 얻도록 제어기간 파라메타 조절을 수행하며, 학습에 의한 국부적 탐색을 통해 각 퍼지 제어기가 원하는 제어 결과를 나타내도록 제어기내 파라메타 조절을 수행한다. 제안한 상호적응 설계 방법은 유전 알고리즘의 모든 세대에서 역전파 학습이 이루어지므로 보다 좋은 근사화 능력을 나타나고, 사용한 무게 중심 비퍼지화기가 정확한 비퍼지화값을 계산하므로 보다 좋은 제어 성능을 가지며, 퍼지 규칙 베이스와 소속 함수들의 최적화 탐색 과정이 입출력 공간의 같은 퍼지 분할 상에서 통합된 적응 함수에 의하여 동시에 수행되므로 탐색을 위한 작업 공간이 아주 작아지는 장점이 있다. 시뮬레이션 결과는 Lamarckian 상호 적응에 의해 얻어진 FLC가 퍼지 규\ulcorner 수, 근사화 능력, 제어 성능등 모든면에서 다른 방법에 의해 얻어진 FLC보다 가장 우수함을 보여준다.

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