• Title/Summary/Keyword: Hand Dimension

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Research Methodology on the Symbolism of Ritual Dress and Its Applications (의례복식의 상징작용에 관한 연구방법론과 그 적용)

  • 이은주
    • Journal of the Korean Society of Clothing and Textiles
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    • v.19 no.2
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    • pp.203-215
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    • 1995
  • The funning process in the symbolism of dress can be approached by the semiotics of C. S. Pierce. According to Pearce\ulcorners theory, symbiosis consists of sign, its object, and interpret ant. Especially Pierce classifies the sign into three categories; icon, index, and symbol. The icon is based on the similarity in properties and forms, and the index is based on the actual connection with their objects, while the symbol is based on the association of interpret ant. This classification method can be considered as a theoretical base for symbol of ritual dress. On the other hand, it was discussed the analyzing method of the concept of dress same (symbolic element) by introducing the isolate concept of structuralism for explaining how the symbol reveals itself. So it is discussed the several concepts of structuralism; the concept of relation syntagmatique and relation paradigmatique, the relation binaries, and the units. It would be also necessary to consider dimension of context in addition to dimension of dress itself for the dimension of total symbolic elements of ritual dress. It is proposed that the above developed dress symbol elements should be used for under\ulcornerstanding the society or culture that includes the elements by introducing the symbolic anthropology such as V. Turner's three dimensions of symbol.

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TRANSFER PROPERTIES OF GORENSTEIN HOMOLOGICAL DIMENSION WITH RESPECT TO A SEMIDUALIZING MODULE

  • Di, Zhenxing;Yang, Xiaoyan
    • Journal of the Korean Mathematical Society
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    • v.49 no.6
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    • pp.1197-1214
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    • 2012
  • The classes of $G_C$ homological modules over commutative ring, where C is a semidualizing module, extend Holm and J${\varnothing}$gensen's notions of C-Gorenstein homological modules to the non-Noetherian setting and generalize the classical classes of homological modules and the classes of Gorenstein homological modules within this setting. On the other hand, transfer of homological properties along ring homomorphisms is already a classical field of study. Motivated by the ideas mentioned above, in this article we will investigate the transfer properties of C and $G_C$ homological dimension.

An Ensemble Classifier using Two Dimensional LDA

  • Park, Cheong-Hee
    • Journal of Korea Multimedia Society
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    • v.13 no.6
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    • pp.817-824
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    • 2010
  • Linear Discriminant Analysis (LDA) has been successfully applied for dimension reduction in face recognition. However, LDA requires the transformation of a face image to a one-dimensional vector and this process can cause the correlation information among neighboring pixels to be disregarded. On the other hand, 2D-LDA uses 2D images directly without a transformation process and it has been shown to be superior to the traditional LDA. Nevertheless, there are some problems in 2D-LDA. First, it is difficult to determine the optimal number of feature vectors in a reduced dimensional space. Second, the size of rectangular windows used in 2D-LDA makes strong impacts on classification accuracies but there is no reliable way to determine an optimal window size. In this paper, we propose a new algorithm to overcome those problems in 2D-LDA. We adopt an ensemble approach which combines several classifiers obtained by utilizing various window sizes. And a practical method to determine the number of feature vectors is also presented. Experimental results demonstrate that the proposed method can overcome the difficulties with choosing an optimal window size and the number of feature vectors.

Comparison of accuracy between LC model and 4-PFM when COVID-19 impacts mortality structure

  • Choi, Janghoon
    • Communications for Statistical Applications and Methods
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    • v.28 no.3
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    • pp.233-250
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    • 2021
  • This paper studies if the accuracies of mortality models (LC model vs. 4-parametric model) are aggravated if a mortality structure changes due to the impact of COVID-19. LC model (LCM) uses dimension reduction for fitting to the log mortality matrix so that the performance of the dimension reduction method may not be good when the matrix structure changes. On the other hand, 4-parametric factor model (4-PFM) is designed to use factors for fitting to log mortality data by age groups so that it would be less affected by the change of the mortality structure. In fact, the forecast accuracies of LCM are better than those of 4-PFM when life-tables are used whereas those of 4-PFM are better when the mortality structure changes. Thus this result shows that 4-PFM is more reliable in performance to the structural changes of the mortality. To support the accuracy changes of LCM the functional aspect is explained by computing eigenvalues produced by singular vector decomposition

Design and Experiment of a Miniature 4/3-Way Proportional Valve for a Servo-Pneumatic Robot Hand (공압 구동식 로봇 손을 위한 소형 4/3-way 비례제어 밸브의 설계 및 실험)

  • 류시복;홍예선
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.12
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    • pp.142-147
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    • 1998
  • Developing robot hands with multi-degree-of-freedom is one of the topics that researchers have recently begun to improve the limitation by adding flexibility and dexterity. In this study, an articulated servo-pneumatic robot hand system with direct-drive joints has been developed whose main feature is the minimization of the dimension. The servo-pneumatic system is advantageous to fabricate a dexterous robot hand system due to the high torque-to-weight and torque-to-volume ratio. This enables the design of a finger joint with an integrated rotary vane type actuator which produces high output torque without reduction gears, being very robust. In order to control the servo-pneumatic finger joints, a miniature proportional valve that can be attached to the robot hand is required. In this paper, a flapper nozzle type 4/3-way proportional directional valve has been designed and tested. The experimental results show that the developed valve can control a finger joint satisfactorily without much vibratory joint movements and acoustic noises.

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The Analysis of the Dimensions of Affection Structure and Hand Movements (손동작과 정서 차원 분석)

  • Yoo Sang;Han Kwang-Hee;Cho Kyung-Ja
    • Science of Emotion and Sensibility
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    • v.9 no.2
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    • pp.119-132
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    • 2006
  • The dimensions of affection structure from hand movements was developed for the purpose of understanding relationship between affective words and physical factors to apply it to computing environment. To analyze hand movements, three dimensions -direction, time, weight- were found through reconstructing sub-properties of Laban Movement Analysis. The direction dimension has five freedoms of movement (horizontal, vertical, sagittal, circular, shaking) while the time and weight dimensions both have two sub categories each, (sudden, sustained), (light, strong) respectively. By factorial design using the three dimensions, twenty movement were videotaped. Participants rated a list of fifty korean affective words on each twenty movements. The results were studied by nonlinear principal component analysis. The results suggested that time and weight dimensions are closely related with arousal level dimension of affection. Strong and sudden movements associated with highly aroused affection, while light and sustained movements associated with the opposite affection. The direction sub-dimensions were found to be associated with the kinds of affection. Linear movements like horizontal, vortical and sagittal direction were correlated to highly aroused negative affection. Circular movements were found to correlate closely by fun and delight on the graph, while shaking movements were correlated to anxiety and impatience. These results imply that the dimensions of affection structure and sub-properties of hand movements are closely connected with each other.

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Basic Income: Norms and Experience of Policy Scientific Analysis - In the Center of the Youth Dividend Ordinance Discussion - (기본소득: 규범과 경험의 정책 과학적 분석 - 청년배당 지급조례 논의를 중심으로 -)

  • Lee, Myoung Hyun
    • Korean Journal of Social Welfare
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    • v.68 no.4
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    • pp.119-141
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    • 2016
  • This study analyzed on the basis of the norms and experience the Seongnam youth dividend ordinance. Youth dividend pros in the normative dimension to understand in order to achieve social justice. Further, youth dividend can replace the existing policy. On the other hand, the opposite of youth dividend is pointed out that the policy is ambiguous without morally justifiable. Also it has been pointed out inefficiencies means. Youth dividend Pros empirical dimension is a social considerations measures, there is a need for innovation by the failure of existing measures. On the other hand, youth dividend opposed to target efficiency is low, and that the problem is often to the contents of the salary. Because both sides are too contrast, consensus is difficult, can be political point of view is a significant impact. The basic income is a new thought experiment for human self-realization. Therefore, the production social welfare policy personality is a different policy science. That is, it is a long-term care social policy that requires a holistic life support. In addition, a non-empirical policy that requires a material support for the substantial freedom. Therefore, it is necessary to understand the philosophical meaning than scientific evaluation of traditional policy aiming to realize autonomous life. Therefore, radio waves of basic income through the welfare politics and exercise is still important strategy.

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Feature Analysis of Multi-Channel Time Series EEG Based on Incremental Model (점진적 모델에 기반한 다채널 시계열 데이터 EEG의 특징 분석)

  • Kim, Sun-Hee;Yang, Hyung-Jeong;Ng, Kam Swee;Jeong, Jong-Mun
    • The KIPS Transactions:PartB
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    • v.16B no.1
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    • pp.63-70
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    • 2009
  • BCI technology is to control communication systems or machines by brain signal among biological signals followed by signal processing. For the implementation of BCI systems, it is required that the characteristics of brain signal are learned and analyzed in real-time and the learned characteristics are applied. In this paper, we detect feature vector of EEG signal on left and right hand movements based on incremental approach and dimension reduction using the detected feature vector. In addition, we show that the reduced dimension can improve the classification performance by removing unnecessary features. The processed data including sufficient features of input data can reduce the time of processing and boost performance of classification by removing unwanted features. Our experiments using K-NN classifier show the proposed approach 5% outperforms the PCA based dimension reduction.

Numerical Simulation far the Non-Spherical Aggregation of Charged Particles (하전 입자의 비구형 응집 성장에 대한 수치적 연구)

  • Park, Hyeong-Ho;Kim, Sang-Su;Jang, Hyeok-Sang
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.26 no.2
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    • pp.227-237
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    • 2002
  • A numerical technique for simulating the aggregation of charged particles was presented with a Brownian dynamic simulation in the free molecular regime. The Langevin equation was used for tracking each particle making up an aggregate. A periodic boundary condition was used for calculation of the aggregation process in each cell with 500 primary particles of 16 nm in diameter. We considered the thermal force and the electrostatic force for the calculation of the particle motion. The electrostatic force on a particle in the simulation cell was considered as a sum of electrostatic forces from other particles in the original cell and its replicate cells. We assumed that the electric charges accumulated on an aggregate were located on its center of mass, and aggregates were only charged with pre-charged primary particles. The morphological shape of aggregates was described in terms of the fractal dimension. In the simulation, the fractal dimension for the uncharged aggregate was D$\_$f/ = 1.761. The fractal dimension changed slightly for the various amounts of bipolar charge. However, in case of unipolar charge, the fractal dimension decreased from 1.641 to 1.537 with the increase of the average number of charges on the particles from 0.2 to 0.3 in initial states. In the bipolar charge state, the average sizes of aggregates were larger than that of the uncharged state in the early and middle stages of aggregation process, but were almost the same as the case of the uncharged state in the final stage. On the other hand, in the unipolar charge state, the average size of aggregates and the dispersion of particle volume decreased with the increasing of the charge quantities.

The Effect of Barge-in Function of In-Vehicle Voice Conversational Interface on Driving Experience - Focus on Car Navigation and Music Services - (차량용 음성대화 인터페이스의 Barge-in 기능이 주행 경험에 미치는 효과 연구 - 내비게이션 및 음악서비스 중심으로 -)

  • Kim, Taek Soo;Kim, Ji Hyun;Choi, Jun Ho
    • Design Convergence Study
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    • v.17 no.1
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    • pp.17-28
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    • 2018
  • The manipulation of the device by hand while driving is a major factor to increase the risk of accidents, and the design of in-vehicle voice conversational interface that can compensate for this is being actively researched. The purpose of this study is to investigate the effect of the use of the barge-in function of in-vehicle voice interface on user experience. Participants were asked to carry out two tasks, one for navigation and one for music play. We conducted a survey to measure the functional user 's experience after each participant' s tasks, and measured usefulness, usability, satisfaction, and emotion as user experience factors. As a result, Barge-in has been rated as the better choice for most experience factors. There was a significant effect on usability dimension in navigation task and significant effects on usability dimension and emotional dimension in music play task. So it was found that barge-in function had a positive effect on actual user's usability and emotional dimension.