• 제목/요약/키워드: Domain-independent

검색결과 456건 처리시간 0.021초

Dynamic analysis of structures in frequency domain by a new set of Ritz vectors

  • Aliasghar Arjmandi, S.;Lotfi, Vahid
    • Structural Engineering and Mechanics
    • /
    • 제39권5호
    • /
    • pp.703-716
    • /
    • 2011
  • The accurate dynamic analysis of structures is usually performed by a fine finite element discretization with very large number of degrees of freedom. Apart from modal analysis, one can reduce the number of final equations by assuming the deformed shape of the structure as a linear combination of independent Ritz vectors. The efficiency of this method relies heavily on the vectors selected. In this paper, a new set of Ritz vectors is proposed. It is primarily proved that these vectors are linearly independent. Subsequently, various two and three-dimensional examples are analyzed based on the proposed method. In each case, the results are compared with the ones obtained based on usual Ritz and modal analysis methods. It is finally concluded that the proposed method is very effective and efficient method for dynamic analysis of structures in frequency domain.

4채널 환경에서 독립벡터분석 및 주파수대역 빔형성 알고리즘에 의한 혼합잡음제거 (Mixed Noise Cancellation by Independent Vector Analysis and Frequency Band Beamforming Algorithm in 4-channel Environments)

  • 최재승
    • 한국전자통신학회논문지
    • /
    • 제14권5호
    • /
    • pp.811-816
    • /
    • 2019
  • 본 논문에서는 잡음이 포함된 4채널의 음원신호를 주파수 대역의 독립벡터분석 알고리즘에 의하여 깨끗한 음성신호와 혼합잡음신호를 분리하는 기법을 먼저 제안한다. 제안한 독립벡터분석 알고리즘에 의하여 분리된 음원신호를 주파수대역 지연합 빔형성기로부터 출력되는 신호와 독립벡터분석으로부터 분리된 출력신호 간의 상호 상관성을 이용하여 향상된 출력음성신호를 구한다. 본 실험에서는 백색잡음이 포함된 0dB, -5dB의 SNR의 입력 혼합잡음음성에 대하여, 본 논문에서 제안하고 있는 알고리즘이 주파수대역 지연합 빔형성기 알고리즘만을 사용하였을 때 보다 최대 10.90dB의 SNR 및 10.02dB의 Segmental SNR이 개선되었음을 확인하였다. 따라서 본 논문의 알고리즘 기법이 주파수대역 지연합 빔형성기와 비교하여 음성품질이 향상된 것을 실험 및 고찰을 통하여 확인할 수 있었다.

A Domain-independent Dual-image based Robust Reversible Watermarking

  • Guo, Xuejing;Fang, Yixiang;Wang, Junxiang;Zeng, Wenchao;Zhao, Yi;Zhang, Tianzhu;Shi, Yun-Qing
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제16권12호
    • /
    • pp.4024-4041
    • /
    • 2022
  • Robust reversible watermarking has attracted widespread attention in the field of information hiding in recent years. It should not only have robustness against attacks in transmission but also meet the reversibility of distortion-free transmission. According to our best knowledge, the most recent robust reversible watermarking methods adopt a single image as the carrier, which might lead to low efficiency in terms of carrier utilization. To address the issue, a novel dual-image robust reversible watermarking framework is proposed in this paper to effectively utilize the correlation between both carriers (namely dual images) and thus improve the efficiency of carrier utilization. In the dual-image robust reversible watermarking framework, a two-layer robust watermarking mechanism is designed to further improve the algorithm performances, i.e., embedding capacity and robustness. In addition, an optimization model is built to determine the parameters. Finally, the proposed framework is applied in different domains (namely domain-independent), i.e., Slantlet Transform and Singular Value Decomposition domain, and Zernike moments, respectively to demonstrate its effectiveness and generality. Experimental results demonstrate the superiority of the proposed dual-image robust reversible watermarking framework.

Optimization of Domain-Independent Classification Framework for Mood Classification

  • Choi, Sung-Pil;Jung, Yu-Chul;Myaeng, Sung-Hyon
    • Journal of Information Processing Systems
    • /
    • 제3권2호
    • /
    • pp.73-81
    • /
    • 2007
  • In this paper, we introduce a domain-independent classification framework based on both k-nearest neighbor and Naive Bayesian classification algorithms. The architecture of our system is simple and modularized in that each sub-module of the system could be changed or improved efficiently. Moreover, it provides various feature selection mechanisms to be applied to optimize the general-purpose classifiers for a specific domain. As for the enhanced classification performance, our system provides conditional probability boosting (CPB) mechanism which could be used in various domains. In the mood classification domain, our optimized framework using the CPB algorithm showed 1% of improvement in precision and 2% in recall compared with the baseline.

음원신호 추출을 위한 주파수영역 응용모델에 기초한 독립성분분석 (Independent Component Analysis Based on Frequency Domain Approach Model for Speech Source Signal Extraction)

  • 최재승
    • 한국전자통신학회논문지
    • /
    • 제15권5호
    • /
    • pp.807-812
    • /
    • 2020
  • 본 논문은 여러 음원신호가 혼합된 환경에서 목적으로 하는 음원신호만을 분리하기 위하여 마이크로폰을 사용한 블라인드 음원분리 알고리즘을 제안한다. 제안하는 알고리즘은 독립성분분석 방법을 기반으로 한 주파수영역 표현모델이다. 따라서 2 음원에 대한 주파수영역 독립성분분석의 실제 환경에서의 유효성 검증을 목적으로, 음원의 종류를 변경하여 주파수영역 독립성분분석을 실행하여 음원분리를 실시하여 그 향상효과를 검증한다. 파형에 의한 실험결과로부터 원래의 파형과 비교하여 2채널의 음원신호를 깨끗하게 분리할 수 있음을 명확히 하였다. 또한 목표 신호 대 간섭 에너지비율을 사용하여 비교한 실험 결과로부터 본 논문에서 제안한 알고리즘의 음원분리 성능이 기존의 알고리즘에 비하여 성능이 향상되었다는 것을 알 수 있었다.

ON THE PRINCIPAL IDEAL THEOREM

  • Chang, Gyu-Whan
    • 대한수학회보
    • /
    • 제36권4호
    • /
    • pp.655-660
    • /
    • 1999
  • Let R be an integral domain with identity. In this paper we will show that if R is integrally closed or if t-dim $R{\leq}1$, then R[{$X_{\alpha}$}] satisfies the principal ideal theorem for each family {$X_{\alpha}$} of algebraically independent indeterminates if and only if R is an S-domain and it satisfies the principal ideal theorem.

  • PDF

An Integrated Neural Network Model for Domain Action Determination in Goal-Oriented Dialogues

  • Lee, Hyunjung;Kim, Harksoo;Seo, Jungyun
    • Journal of Information Processing Systems
    • /
    • 제9권2호
    • /
    • pp.259-270
    • /
    • 2013
  • A speaker's intentions can be represented by domain actions (domain-independent speech act and domain-dependent concept sequence pairs). Therefore, it is essential that domain actions be determined when implementing dialogue systems because a dialogue system should determine users' intentions from their utterances and should create counterpart intentions to the users' intentions. In this paper, a neural network model is proposed for classifying a user's domain actions and planning a system's domain actions. An integrated neural network model is proposed for simultaneously determining user and system domain actions using the same framework. The proposed model performed better than previous non-integrated models in an experiment using a goal-oriented dialogue corpus. This result shows that the proposed integration method contributes to improving domain action determination performance.

Power line interference noise elimination method based on independent component analysis in wavelet domain for magnetotelluric signal

  • Cao, Xiaoling;Yan, Liangjun
    • Geosystem Engineering
    • /
    • 제21권5호
    • /
    • pp.251-261
    • /
    • 2018
  • With the urbanization in recent years, the power line interference noise in electromagnetic signal is increasing day by day, and has gradually become an unavoidable component of noises in magnetotelluric signal detection. Therefore, a kind of power line interference noise elimination method based on independent component analysis in wavelet domain for magnetotelluric signal is put forward in this paper. The method first uses wavelet decomposition to change single-channel signal into multi-channel signal, and then takes advantage of blind source separation principle of independent component analysis to eliminate power line interference noise. There is no need to choose the layer number of wavelet decomposition and the wavelet base of wavelet decomposition according to the observed signal. On the treatment effect, it is better than the previous power line interference removal method based on independent component analysis. Through the de-noising processing to actual magnetotelluric measuring data, it is shown that this method makes both the apparent resistivity curve near 50 Hz and the phase curve near 50 Hz become smoother and steadier than before processing, i.e., it effectively eliminates the power line interference noise.

영역-독립적인 인공지능 계획기를 이용한 시간 추론 서비스의 구현 (Implementation of temporal reasoning services using a domain-independent AI planner)

  • 김현식;박찬영;김인철
    • 한국산업정보학회논문지
    • /
    • 제14권4호
    • /
    • pp.37-48
    • /
    • 2009
  • 가정용 서비스 로봇들은 사용자들에게 다양한 시간 추론 서비스들을 제공할 수 있어야 한다. 본 논문에서는 영역-독립적인 인공지능 계획기를 이용하여 이러한 시간 추론 서비스를 효과적으로 구현하는 방법을 제안한다. 영역-독립적인 인공지능 계획기를 이용하여 시간 추론 서비스를 개발하기 위해서는 다양한 실세계 시간 제약들을 어떻게 하나의 계획 영역 정의 언어로 표현하느냐 하는 지식 공학적 문제뿐만 아니라, 인공지능 계획기와 서비스 소비자 사이의 인터페이스를 어떻게 구현하여야 하느냐 하는 시스템 설계 문제를 함께 해결하여야 한다. 본 논문에서는 가정용 서비스 로봇이 고려해야 하는 하나의 예제 시나리오와 전형적인 시간 제약들을 제시하고, 이들을 표준 계획 영역 정의 언어로 표현하는 방법을 제시한다. 또한 본 논문에서는 새로운 시간 추론 서비스를 효율적으로 생성하고 제공하기 위해, 인공지능 계획기를 기초로 하나의 서비스 에이전트를 구현하는 방법에 대해서도 설명한다.

근거리 힘 계산의 새로운 고속화 방법 (A New Fast Algorithm for Short Range Force Calculation)

  • 안상환;안철오
    • 유체기계공업학회:학술대회논문집
    • /
    • 유체기계공업학회 2006년 제4회 한국유체공학학술대회 논문집
    • /
    • pp.383-386
    • /
    • 2006
  • In this study, we propose a new fast algorithm for calculating short range forces in molecular dynamics, This algorithm uses a new hierarchical tree data structure which has a high adaptiveness to the particle distribution. It can divide a parent cell into k daughter cells and the tree structure is independent of the coordinate system and particle distribution. We investigated the characteristics and the performance of the tree structure according to k. For parallel computation, we used orthogonal recursive bisection method for domain decomposition to distribute particles to each processor, and the numerical experiments were performed on a 32-node Linux cluster. We compared the performance of the oct-tree and developed new algorithm according to the particle distributions, problem sizes and the number of processors. The comparison was performed sing tree-independent method and the results are independent of computing platform, parallelization, or programming language. It was found that the new algorithm can reduce computing cost for a large problem which has a short search range compared to the computational domain. But there are only small differences in wall-clock time because the proposed algorithm requires much time to construct tree structure than the oct-tree and he performance gain is small compared to the time for single time step calculation.

  • PDF