• Title/Summary/Keyword: Combination Pattern

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Combination of engineering geological data and numerical modeling results to classify the tunnel route based on the groundwater seepage

  • Aalianvari, A.
    • Geomechanics and Engineering
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    • v.13 no.4
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    • pp.671-683
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    • 2017
  • Groundwater control is a significant issue in most underground construction. An estimate of the inflow rate is required to size the pumping system, and treatment plant facilities for construction planning and cost assessment. An estimate of the excavation-induced drawdown of the initial groundwater level is required to evaluate potential environmental impacts. Analytical and empirical methods used in current engineering practice do not adequately account for the effect of the jointed-rock-mass anisotropy and heterogeneity. The impact of geostructural anisotropy of fractured rocks on tunnel inflows is addressed and the limitations of analytical solutions assuming isotropic hydraulic conductivity are discussed. In this paper the unexcavated Zagros tunnel route has been classified from groundwater flow point of view based on the combination of observed water inflow and numerical modeling results. Results show that, in this hard rock tunnel, flow usually concentrates in some areas, and much of the tunnel is dry. So the remaining unexcavated Zagros tunnel route has been categorized into three categories including high Risk, moderately risk and low risk. Results show that around 60 m of tunnel (3%) length can conduit the large amount of water into tunnel and categorized into high risk zone and about 45% of tunnel route has moderately risk. The reason is that, in this tunnel, most of the water flows in rock fractures and fractures typically occur in a clustered pattern rather than in a regular or random pattern.

Impact of Conceptual Combination Pattern and Goal Congruence on User Experience : Focused on IPTV Design Factors (디지털 서비스의 결합유형과 목적 일치도가 사용자 경험에 미치는 영향 : IPTV 서비스의 디자인 요소를 중심으로)

  • Kim, So-Lyung;Park, Ji-Young;Kim, Jin-Woo
    • Korean Management Science Review
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    • v.27 no.3
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    • pp.43-70
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    • 2010
  • Influences of convergent services on the overall industry has become noticeable. Various services are becoming to converge into a single platform because of ever-hanging needs of digital service users. However, few studies have investigated how users' perception of convergent services as well as the quality of experience that service users have while using the convergent services. Therefore, this study aims at identifying perceived patterns of convergent services by IPTV users, which is one of the representative convergent-ervice platforms. It also aims at identifying the impact of perceived convergence pattern on the relationship between goal congruency among individual services and the quality of user experience. Two empirical studies were conducted to accomplish the research goals. We have constructed two prototypes of convergent digital services in the IPTV environment and conducted controlled experiments to verify the research hypotheses. The results indicate that design similarities of two services substantially influence the perceived patterns of convergent services. It was also found that the perceived convergent patterns have significant moderating effects on the impact of perceived goal congruence upon the quality of user experience. This paper ends with limitations as well as implications of the study results.

Local Feature Based Facial Expression Recognition Using Adaptive Decision Tree (적응형 결정 트리를 이용한 국소 특징 기반 표정 인식)

  • Oh, Jihun;Ban, Yuseok;Lee, Injae;Ahn, Chunghyun;Lee, Sangyoun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39A no.2
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    • pp.92-99
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    • 2014
  • This paper proposes the method of facial expression recognition based on decision tree structure. In the image of facial expression, ASM(Active Shape Model) and LBP(Local Binary Pattern) make the local features of a facial expressions extracted. The discriminant features gotten from local features make the two facial expressions of all combination classified. Through the sum of true related to classification, the combination of facial expression and local region are decided. The integration of branch classifications generates decision tree. The facial expression recognition based on decision tree shows better recognition performance than the method which doesn't use that.

A Study on Necktie Image of Striped Pattern according to Area-Ratio Variation of Chromatic and Achromatic Colors (무채색과 유채색의 면적비 변와에 따른 스트라이프 패턴의 넥타이 이미지 연구)

  • Sung, Nam-Suk;Choi, Su-Koung
    • Journal of the Korean Society of Costume
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    • v.59 no.4
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    • pp.67-81
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    • 2009
  • This study aims to characterize the effect of different combinations of chromatic-achromatic colors and 1:2:3 area-ratio variation of stripe necktie, and gender on the image of male wearer. The experimental materials developed for this study are a set of stimuli and response scales. The stimuli consist of 84 color pictures manipulated with every combination of 12 different colors and 7 different area-ratio. The 7-point scale designed for visual evaluation of image formation included 26 bipolar adjectives. The subjects were 2016 undergraduate students in Gyeongnam, Seoul, Busan, and Daegu areas. The results of this study were as follows. The analyses of images of male wearer in terms of combinations of chromatic-achromatic colors and I :2:3 area-ratio variation of oblique stripe necktie reveal that the concerned factors are of five characteristic dimensions of youth-activity, ability, attractiveness, appeal, and warmness. In addition, it has been found that individual images of male wearer are affected by observer's gender as well as combinations of chromatic-achromatic colors and 1:2:3 area-ratio variation of stripe neckties and that those images vary with every combination of each factor. The study results are highly expected to be used as useful sources in developing necktie designs.

An Analysis on the Costume Design in Rhythmic Gymnastics Competition (리듬 체조 경기 의상의 디자인 분석)

  • Kim, Sun Young
    • Korean Journal of Human Ecology
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    • v.24 no.6
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    • pp.875-887
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    • 2015
  • The analysis in this work is about costumes among the rhythmic gymnasts in competition, which is intended to develop designs about rhythmic gymnastics costume and provide the basic material from the results. In its research method and range, the general information on rhythmic gymnastics was reviewed in literature and the case analysis was followed about costumes of world high rankers in competition during 2012~2015 seasons. Research showed the following results. First, leotard took a shape of skirt-added one-piece type, where a combination with long tight sleeve, round neck line, and stand-up collar had a relatively higher percentage in design. With regard to a bottom line of skirt, an amorphous type was most common that highlights rhythmical beauty without any particular form. This design exposed shoulders and waists on both sides, expressing the feminine beauty. Second, in color used mainly, white appeared most frequently. In its combination, more than three were employed. Third, transparent mesh was applied as basic, where lace and chiffon were used. Abstract pattern took the highest portion in pattern. Particularly, crystal bead or gradation coloring was used to maximize the visually splendid image, giving an effect of optical illusion as if neckless clothing, choker, bracelet, or glove were worn. Fourth, it appeared that the costume for each event was changed in every season, when only music was substituted but the same earlier costume was put on for the different event.

Monitoring and Forecasting the Eyjafjallajökull Volcanic Ash using Combination of Satellite and Trajectory Analysis (인공위성 관측자료와 궤적분석을 이용한 Eyjafjallajökull 화산재 감시와 예측)

  • Lee, Kwon Ho
    • Journal of Korean Society for Atmospheric Environment
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    • v.30 no.2
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    • pp.139-149
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    • 2014
  • A new technique, namely the combination of satellite and trajectory analysis (CSTA), for exploring the spatio-temporal distribution information of volcanic ash plume (VAP) from volcanic eruption. CSTA uses the satellite derived ash property data and a matching forward-trajectories, which can generate airmass history pattern for specific VAP. In detail, VAP properties such as ash mask, aerosol optical thickness at 11 ${\mu}m$ ($AOT_{11}$), ash layer height, and effective radius from the Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite were retrieved, and used to estimate the possibility of the ash forecasting in local atmosphere near volcano. The use of CSTA for Iceland's Eyjafjallaj$\ddot{o}$kull volcano erupted in May 2010 reveals remarkable spatial coherence for some VAP source-transport pattern. The CSTA forecasted points of VAP are consistent with the area of MODIS retrieved VAP. The success rate of the 24 hour VAP forecast result was about 77.8% in this study. Finally, the use of CSTA could provide promising results for VAP monitoring and forecasting by satellite observation data and verification with long term measurement dataset.

A Study on the Pattern Classificatiion of the EMG Signals Using Neural Network and Probabilistic Model (신경회로망과 확률모델을 이용한 근전도신호의 패턴분류에 관한 연구)

  • 장영건;권장우;장원환;장원석;홍성홍
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.10
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    • pp.831-841
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    • 1991
  • A combined model of probabilistic and MLP(multi layer perceptron) model is proposed for the pattern classification of EMG( electromyogram) signals. The MLP model has a problem of not guaranteeing the global minima of error and different quality of approximations to Bayesian probabilities. The probabilistic model is, however, closely related to the estimation error of model parameters and the fidelity of assumptions. A proper combination of these will reduce the effects of the problems and be robust to input variations. Proposed model is able to get the MAP(maximum a posteriori probability) in the probabilistic model by estimating a priori probability distribution using the MLP model adaptively. This method minimize the error probability of the probabilistic model as long as the realization of the MLP model is optimal, and this is a good combination of the probabilistic model and the MLP model for the usage of MLP model reliability. Simulation results show the benefit of the proposed model compared to use the Mlp and the probabilistic model seperately and the average calculation time fro classification is about 50ms in the case of combined motion using an IBM PC 25 MHz 386model.

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Multilayer Neural Network Using Delta Rule: Recognitron III (텔타규칙을 이용한 다단계 신경회로망 컴퓨터:Recognitron III)

  • 김춘석;박충규;이기한;황희영
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.2
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    • pp.224-233
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    • 1991
  • The multilayer expanson of single layer NN (Neural Network) was needed to solve the linear seperability problem as shown by the classic example using the XOR function. The EBP (Error Back Propagation ) learning rule is often used in multilayer Neural Networks, but it is not without its faults: 1)D.Rimmelhart expanded the Delta Rule but there is a problem in obtaining Ca from the linear combination of the Weight matrix N between the hidden layer and the output layer and H, wich is the result of another linear combination between the input pattern and the Weight matrix M between the input layer and the hidden layer. 2) Even if using the difference between Ca and Da to adjust the values of the Weight matrix N between the hidden layer and the output layer may be valid is correct, but using the same value to adjust the Weight matrixd M between the input layer and the hidden layer is wrong. Recognitron III was proposed to solve these faults. According to simulation results, since Recognitron III does not learn the three layer NN itself, but divides it into several single layer NNs and learns these with learning patterns, the learning time is 32.5 to 72.2 time faster than EBP NN one. The number of patterns learned in a EBP NN with n input and output cells and n+1 hidden cells are 2**n, but n in Recognitron III of the same size. [5] In the case of pattern generalization, however, EBP NN is less than Recognitron III.

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A Study on Creating Textile Design Applied a Peony Blossom of Chinese Traditional Pattern (중국 원대 청화목단당초문합(靑花牡丹唐草汶盒)의 모란문양을 활용한 텍스타일 디자인 제안에 관한 연구)

  • Lee, Youn-Soon;Chen, Dan
    • Journal of the Korea Fashion and Costume Design Association
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    • v.12 no.1
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    • pp.1-10
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    • 2010
  • The purposes of this study are to review the Chinese traditional patterns and to apply one of them, the Peony Blossom pattern into modern textile designs for fashion For this purpose, first, the categories and symbolic meanings of the patterns existing in the Chinese traditional clothing from literature were reviewed. Second, the Peony Blossom patterns of Chinese traditional patterns from literature were reviewed and selected one of them, Third, authors applied the Peony Blossom pattern to creative textile design which would fit to appetite of people lived in modern society. The results were as follows: The patterns of Chinese traditional clothing could be classified as animal pattern, plant pattern, nature pattern, character pattern, lucky token pattern, geometric pattern and so on. All these patterns contained individual symbolic meaning, which varied according the different wearers. Moreover, it endows a peony blossom pattern of Chinese traditional patterns with modern style and purposes the textile design. The theme of the design is "Luxuriant Outing" with the concept of "Dream in Fantasy". The design target is the female born in the 1980's, that is, the target population between 20 and 30 years old. In addition, it is designed for the romantic one-piece. This paper perceives the national spirit revealed in the Chinese traditional patterns and designs with the combination of traditional culture and modernized technique of expression.

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A Study on the Measurement of Korean Women′s Hand -Focusing on Glove Size- (한국 성인 여성의 손 계측연구 -장갑의 치수 설정을 중심으로-)

  • 류경옥;서미아
    • The Research Journal of the Costume Culture
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    • v.12 no.2
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    • pp.262-278
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    • 2004
  • The purpose of this study was to develop the sizing system fur women's glove. The combination of anthropometric and engineering aspects of glove pattern-making is difficult problem in engineering clothing. And the traditional measurements is not enough for glove. Therefore, to develop the hand measurement method and dimension for glove, a comprehensive list of candidate measurements was reviewed and the manufacturers (Their career was over the 15years.) were interviewed on the method of glove pattern-making. This study was conducted traditional and creative 88 two-dimensional anthropometric measurements and 4 photometric measurements for glove pattern-making. In addition, 16 creative measurements were instrumented using a special hand measuring board for measuring of landmark locations on the hand. The subjects were 260 women's right hand in the age group of 18 to 35 years old in Korea.

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