• 제목/요약/키워드: Multi-dimension

검색결과 520건 처리시간 0.022초

효율적인 가변차원 하모닉 크기 양자화기법 (Efficient Variable Dimension Quantization of Harmonic Magnitude)

  • 신경진;이인성
    • 한국음향학회지
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    • 제20권7호
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    • pp.47-54
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    • 2001
  • 본 논문은 스펙트럴 크기 파라미터들에 대한 효율적인 가변 차원 양자화 기법을 제안한다. 특히, 하모닉 부호화 기에서의 스펙트럴 크기값 계수들은 가변차원이기 때문에 가변 차원의 양자화를 필요로 한다. 따라서, 본 논문에서는 스펙트럴 크기값 계수들에 대해 가변 이산 코사인 변환(DCT: Discrete Cosine Transform) 및 가변 차원에 적합한 훈련구조를 가지는 비정방형 변환 벡터 양자화 (NSTVQ: Nonsquare Transform Vector Quantization)를 홀수/짝수 구조 및 분할(Split) 구조 그리고 다단계(Multi-stage) 구조 등과 결합시킨 효율적인 양자화 기법을 제안한다. 제안된 양자화 기법의 성능평가는 스펙트럴의 크기값에 대한 주파수 왜곡(SD: Spectral Distortion) 값을 사용하였으며, 다단계 비정방형 변환 벡터 양자화(MSNSTVQ: Multi-Stage Nonsquare Transform Vector Quantization)가 가장 좋은 성능을 나타내었다.

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Fused inverse regression with multi-dimensional responses

  • Cho, Youyoung;Han, Hyoseon;Yoo, Jae Keun
    • Communications for Statistical Applications and Methods
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    • 제28권3호
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    • pp.267-279
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    • 2021
  • A regression with multi-dimensional responses is quite common nowadays in the so-called big data era. In such regression, to relieve the curse of dimension due to high-dimension of responses, the dimension reduction of predictors is essential in analysis. Sufficient dimension reduction provides effective tools for the reduction, but there are few sufficient dimension reduction methodologies for multivariate regression. To fill this gap, we newly propose two fused slice-based inverse regression methods. The proposed approaches are robust to the numbers of clusters or slices and improve the estimation results over existing methods by fusing many kernel matrices. Numerical studies are presented and are compared with existing methods. Real data analysis confirms practical usefulness of the proposed methods.

DECOUPLING OF MULTI-INPUT MULTI-OUTPYT TWO DIMENSIONAL SYSTEMS

  • Kawakami, Atsushi
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 26-27 Oct. 1990
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    • pp.1130-1134
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    • 1990
  • In this paper, we propose a mthod to decouple the multi-input multi-output two-dimensional system. Then, we analyze the realization dimension of the feedback, feedforward given to decouple. Moreover, we consider the possibility of the reduction of the dynamical dimension needed to decouple. Besides, in order to stabilize the decoupled two-dimensional system, we suggest a method to assign the poles of each entry of the transfer function matrix to the desired positions.

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2차원 및 3차원 연계해석을 통한 다단 자동냉간단조 공정의 강소성 유한요소해석 (Rigid-Plastic Finite Element Analysis of Multi-Stage Automatic Cold Forging Processes by Combined Analyses of Two-Dimension and Three-Dimensional Approaches)

  • 이민철;전만수
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2007년도 추계학술대회 논문집
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    • pp.195-200
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    • 2007
  • We analyzed a sequence of multi-stage automatic cold forging processes composed of four axisymmetric processes followed by a non-axisymmetric process using rigid-plastic finite element based forging simulators. The forging sequence selected for an example involves a piercing process and a heading process accompanying folding or overlapping, which all make it difficult to simulate the processes. To reduce computational time and to enhance the solution reliability, only the non-symmetric process was analyzed by the three-dimensional approach after the axisymmetric processes were analyzed by the two-dimensional approach. It has been emphsized that this capability is very helpful in simulating the multi-stage automatic forging processes which are next to axisymmetric.

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Multi-Dimensional Selection Method of Port Logistics Location Based on Entropy Weight Method

  • Ruiwei Guo
    • Journal of Information Processing Systems
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    • 제19권4호
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    • pp.407-416
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    • 2023
  • In order to effectively relieve the traffic pressure of the city, ensure the smooth flow of freight and promote the development of the logistics industry, the selection of appropriate port logistics location is the basis of giving full play to the port logistics function. In order to better realize the selection of port logistics, this paper adopts the entropy weight method to set up a multi-dimensional evaluation index, and constructs the evaluation model of port logistics location. Then through the actual case, from the environmental dimension and economic competition dimension to make choices and analysis. The results show that port d has the largest logistics competitiveness and the highest relative proximity among the three indicators of hinterland city economic activity, hinterland economic structure, and port operation capacity of different port logistics locations, which has absolute advantages. It is hoped that the research results can provide a reference for the multi-dimensional selection of port logistics site selections.

의류제품의 소비감정에 대한 구조 분석 (Structural Analysis of Consumption Emotions on Apparel Products)

  • 박은주;소귀숙
    • 복식문화연구
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    • 제11권2호
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    • pp.219-230
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    • 2003
  • The purpose of this study was to analyze the structure of consumption emotions that consumers experienced in the process of consuming apparel products. Data was collected from 144 female college students living in Busan, and analyzed by salience, diversity, H-index, Clamor's V, and multi-dimensional scaling. The results showed as following; 1. The consumption emotions related to apparel products appeared three dimensions; ‘Relaxed-tense’ dimension, ‘Pleasant-unpleasant’ dimension, and ‘Outward-inward’ dimension. Considering elements of consumption system, the dimensions of consumption emotions in relation to apparel performances were 'Pleasant-unpleasant' and ‘Outward-inward’. The dimensions of consumption emotions experienced in usage situations were ‘Relaxed-tense’ and ‘pleasant-unpleasant’. The consumption emotions related to specific products were composed of ‘Pleasant-unpleasant’ dimension and ‘Outward-inward’ dimension. 2. As the multi-dimension map of this study has much space, it suggested that the scope of consumption emotions related to apparel products was more limited than those related to general situations and products. 3. The structure of consumption emotions in relation to apparel performances appeared to be bisected, while those related to usage situations showed relatively to be dispersed. 4. Although Pleasant-unpleasant dimension was consistent with results of prestudies, the dimensions of ‘Relaxed-tense’ and ‘Outward-inward’ were newly confirmed as the dimensions of consumption emotions related to apparel products. Therefore, consumer's consumption emotions of apparel products were composed of three dimensions, tended to be more limited than those of general consumption situations and products, and differentiated across apparel performances, usage situation, and specific products.

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Design Appreciation at IDAS - an multi-dimensional approach

  • Ming, Leung;Santina, Bonini
    • 한국디자인학회:학술대회논문집
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    • 한국디자인학회 1999년도 춘계 학술발표대회 논문집
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    • pp.60-61
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    • 1999
  • Design appreciation is a once a week 16 week course Primarily it is a series of presentation and discussion about product design, aiming at increasing the awareness of design among students, and stimulating their own work.(omitted)

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다중해상도 알고리즘을 이용한 자동 해석모델 생성 (Automatic Generation of Analysis Model Using Multi-resolution Modeling Algorithm)

  • 김민철;이건우;김성찬
    • 한국CDE학회논문집
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    • 제11권3호
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    • pp.172-182
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    • 2006
  • This paper presents a method to convert 3D CAD model to an appropriate analysis model using wrap-around, smooth-out and thinning operators that have been originally developed to realize the multi-resolution modeling. Wrap-around and smooth-out operators are used to simplify 3D model, and thinning operator is to reduce the dimension of a target object with simultaneously decomposing the simplified 3D model to 1D or 2D shapes. By using the simplification and dimension-reduction operations in an appropriate way, the user can generate an analysis model that matches specific applications. The advantage of this method is that the user can create optimized analysis models of various simplification levels by selecting appropriate number of detailed features and removing them.

음성구간 검출기의 실시간 적응화를 위한 음성 특징벡터의 차원 축소 방법 (Dimension Reduction Method of Speech Feature Vector for Real-Time Adaptation of Voice Activity Detection)

  • 박진영;이광석;허강인
    • 융합신호처리학회논문지
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    • 제7권3호
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    • pp.116-121
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    • 2006
  • 본 논문에서는 다양한 잡음환경에서의 실시간 적응화 기법을 적용하기 위한 선결 과제로 다차원 음성 특정 벡터를 저차원으로 축소하는 방법을 제안한다. 제안된 방법은 특징 벡터를 확률 우도 값으로 매핑시켜 비선형적으로 축소하는 방법으로 음성 / 비음성의 분류는 우도비 검증 (Likelihood Ratio Test; LRT) 을 이용하여 분류하였다. 실험 결과 고차원 특징 벡터를 이용하여 분류한 결과와 대등하게 분류됨을 확인할 수 있었다. 그리고, 제안된 방법에 의해 검출된 음성 데이터를 이용한 음성인식 실험에서도 10차 MFCC(Mel-Frequency Cepstral Coefficient)를 사용하여 분류한 경우와 대등한 인식률을 보여주었다.

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An Efficient Algorithm for Performance Analysis of Multi-cell and Multi-user Wireless Communication Systems

  • Wang, Aihua;Lu, Jihua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권11호
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    • pp.2035-2051
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    • 2011
  • Theoretical Bit Error Rate (BER) and channel capacity analysis are always of great interest to the designers of wireless communication systems. At the center of such analyses people are often encountered with a high-dimensional multiple integrals with quite complex integrands. Conventional Gaussian quadrature is inefficient in handling problems like this, as it tends to entail tremendous computational overhead, and the principal order of its error term increase rapidly with the dimension of the integral. In this paper, we propose a new approach to calculate complex multi-fold integrals based on the number theory. In contrast to Gaussian quadrature, the proposed approach requires less computational effort, and the principal order of its error term is independent of the dimension. The effectiveness of the number theory based approach is examined in BER and capacity analyses for practical systems. In particular, the results generated by numerical computation turn out in good match with that of Monte-Carlo simulations.