• Title/Summary/Keyword: metric structure

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An Exploratory Study on Donor Location Strategies in Data Fusion

  • Kim, Jonathan S.;Cho, Sung-Bin
    • Management Science and Financial Engineering
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    • v.14 no.2
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    • pp.1-12
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    • 2008
  • This study explores several donor location strategies and discusses experiment results, which contributes to the saving of time and effort required in designing data fusion processes. In particular, three concepts are introduced. The Mahalanobis distance is applied to locate the nearest neighbors more effectively; which incorporates the covariance structure of attributes. The ideal point helps reduce the dimensionality problem that arises in conjoint-type experiments. The correspondence analysis is used to derive the coordinates from non-metric attributes. The Monte Carlo simulation results show that the proposed donor location strategies provide better fusion performance, compared to the currently-in-use methods.

Human Gait Recognition Based on Spatio-Temporal Deep Convolutional Neural Network for Identification

  • Zhang, Ning;Park, Jin-ho;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.23 no.8
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    • pp.927-939
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    • 2020
  • Gait recognition can identify people's identity from a long distance, which is very important for improving the intelligence of the monitoring system. Among many human features, gait features have the advantages of being remotely available, robust, and secure. Traditional gait feature extraction, affected by the development of behavior recognition, can only rely on manual feature extraction, which cannot meet the needs of fine gait recognition. The emergence of deep convolutional neural networks has made researchers get rid of complex feature design engineering, and can automatically learn available features through data, which has been widely used. In this paper,conduct feature metric learning in the three-dimensional space by combining the three-dimensional convolution features of the gait sequence and the Siamese structure. This method can capture the information of spatial dimension and time dimension from the continuous periodic gait sequence, and further improve the accuracy and practicability of gait recognition.

A Study on the Performance Metrics and Optimal Implementation of Ad hoc (Ad hoc 성능 지표와 적정 운용성에 대한 연구)

  • 이광제;정진욱
    • The Journal of the Korea Contents Association
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    • v.3 no.1
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    • pp.64-70
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    • 2003
  • In this paper, us describe about the performance metrics and optimal implementation of Ad hoc network that is constructed easily by mobile terminals without infra-structure and is used in emergency sites and army field. And the results are used in study on DQM based ad hoc routing protocol.

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THE UNIT TANGENT SPHERE BUNDLE WHOSE CHARACTERISTIC JACOBI OPERATOR IS PSEUDO-PARALLEL

  • Cho, Jong Taek;Chun, Sun Hyang
    • Bulletin of the Korean Mathematical Society
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    • v.53 no.6
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    • pp.1715-1723
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    • 2016
  • We study the characteristic Jacobi operator ${\ell}={\bar{R}({\cdot},{\xi}){\xi}$ (along the Reeb flow ${\xi}$) on the unit tangent sphere bundle $T_1M$ over a Riemannian manifold ($M^n$, g). We prove that if ${\ell}$ is pseudo-parallel, i.e., ${\bar{R}{\cdot}{\ell}=L{\mathcal{Q}}({\bar{g}},{\ell})$, by a non-positive function L, then M is locally flat. Moreover, when L is a constant and $n{\neq}16$, M is of constant curvature 0 or 1.

Some results on metric fixed point theory and open problems

  • Kim, Tae-Hwa;Park, Kyung-Mee
    • Communications of the Korean Mathematical Society
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    • v.11 no.3
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    • pp.725-742
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    • 1996
  • In this paper we give some sharp expressions of the weakly convergent sequence coefficient WCS(X) of a Banach space X. They are used to prove fixed point theorems for involution mappings T from a weakly compact convex subset C of a Banach space X with WCS(X) > 1 into itself which $T^2$ are both of asymptotically nonexpansive type and weakly asymptotically regular on C. We also show that if X satisfies the semi-Opial property, then every nonexpansive mapping $T : C \to C$ has a fixed point. Further, some questions for asymtotically nonexpansive mappings are raised.

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Intelligent Test Plan Metrics on Adaptive Use Case Approach

  • Kim, R. Young Chul;Lee, Jaehyub
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.1
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    • pp.70-77
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    • 2002
  • This paper describes a design driven approach to drive intelligent test plan generation based on adaptive use case (3,5). Its foundation is an object-oriented software design approach which partitions design schema into design architecture of functional components called “design component”. A use case software development methodology of adaptive use case approach developed in I.I .T is employed which preserves this unit architecture on through to the actual code structure. Based on the partition design schema produced during the design phase of this methodology, a test plan is generated which includes a set of component and scenario based test. A software metric is introduced which produces an ordering of this set to enhance productivity and both promote and capitalize on test case reusability, This paper contains an application that illustrates the proposed approach.

Moleculer structure analysis and fabrication of PMDAlMDA Polyimide thin-films (PMDA/MDA Polyimide 박막의 제조와 분자구조 분석)

  • Lee, B.J.;Ryu, D.H.;Lee, J.;Park, J.K.;Park, K.S.;Lee, D.C.
    • Proceedings of the KIEE Conference
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    • 1996.07c
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    • pp.1639-1641
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    • 1996
  • Polyirnide thin films were fabricated an using vapor deposition polymerization apparatus, and their FT-IR and TGA characteristics were investigated. The peaks of $720cm^{-1}$ and $1380cm^{-1}$ show C=O stretch mode and C-N stretch mode, and that of the cured polyimide at $300^{\circ}C$ were saturated. TGI(Thormogravi metric index) was showed at $459^{\circ}C$ from reaserch of thermal resistivity characteristics by TGA.

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PERTURBATION OF DOMAINS AND AUTOMORPHISM GROUPS

  • Fridman, Buma L.;Ma, Daowei
    • Journal of the Korean Mathematical Society
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    • v.40 no.3
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    • pp.487-501
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    • 2003
  • The paper is devoted to the description of changes of the structure of the holomorphic automorphism group of a bounded domain in \mathbb{C}^n under small perturbation of this domain in the Hausdorff metric. We consider a number of examples when an arbitrary small perturbation can lead to a domain with a larger group, present theorems concerning upper semicontinuity property of some invariants of automorphism groups. We also prove that the dimension of an abelian subgroup of the automorphism group of a bounded domain in \mathbb{C}^n does not exceed n.

Turbo Decoding for Precoded Systems over Multipath Fading Channels

  • Zhang, Qing;Le-Ngoc, THo
    • Journal of Communications and Networks
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    • v.6 no.3
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    • pp.203-208
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    • 2004
  • A combined precoding and turbo decoding strategy for multi-path frequency-selective fading channels is presented. The precoder and multi-path fading channel are jointly modeled as a finite-state probabilistic channel to provide the multi-stage turbo decoder with its statistics information. Both a priori and a posteriori probabilities are used in the metric computation to improve the system performance. Structures of the combined turbo-encoder, interleaver, and precoder in the transmitter and two-stage turbo decoder in the receiver are described. Performance of the proposed scheme in fixed, Rician and Rayleigh multi-path fading channels are evaluated by simulation. The results indicate that the combined precoding and two-stage turbo decoding strategy provides a considerable performance improvement while maintaining the same inner structure of a conventional turbo decoder.

Locating the damaged storey of a building using distance measures of low-order AR models

  • Xing, Zhenhua;Mita, Akira
    • Smart Structures and Systems
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    • v.6 no.9
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    • pp.991-1005
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    • 2010
  • The key to detecting damage to civil engineering structures is to find an effective damage indicator. The damage indicator should promptly reveal the location of the damage and accurately identify the state of the structure. We propose to use the distance measures of low-order AR models as a novel damage indicator. The AR model has been applied to parameterize dynamical responses, typically the acceleration response. The premise of this approach is that the distance between the models, fitting the dynamical responses from damaged and undamaged structures, may be correlated with the information about the damage, including its location and severity. Distance measures have been widely used in speech recognition. However, they have rarely been applied to civil engineering structures. This research attempts to improve on the distance measures that have been studied so far. The effect of varying the data length, number of parameters, and other factors was carefully studied.