• 제목/요약/키워드: Augmented Behavior

검색결과 72건 처리시간 0.029초

온라인 TCG 게임에의 현실 카드 적용 방안 연구 (A Study on Applying Real Card to Online Trading Card Game)

  • 박종일;김수홍
    • 한국게임학회 논문지
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    • 제12권4호
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    • pp.45-51
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    • 2012
  • 상호작용 증강현실 인터페이스는 실세계에 가상 정보를 혼합하여 사용자의 인식을 증강시킬 수 있으며 사용자에게 실세계에서 이용되는 오브제를 가상 게임에 그대로 제공함으로써 현실과 가상 환경을 자연스럽게 연계할 수 있다. 우리는 실생활과 가상 게임 환경과의 이음새 없는 환경을 위해 TCG(Trading Card Game; 이하 TCG로 약칭) 게임에 실제 카드를 적용하는 방안을 연구하였다. 스마트 폰 카메라를 통해 인식된 카드를 가상의 TCG 게임 인터페이스로 사용한다. 기존 연구에 비해 보다 빠르고 스케일, 방향, 포즈, 회전에 무관하게 실 카드를 인식하기 위해 2 단계 이미지 키포인트 추출/매칭 방법(Two Phases Image eyPoint Extraction/Matching Method)을 스마트폰 환경에서 개발하고 이것을 가상 TCG 게임 시스템에 실험적으로 적용하였다. 이와 같은 창의적인 시도는 현실과 가상 환경을 자연스럽게 연결하여 게임에의 몰입감과 현실감을 배가시킬 것이다.

웹 사용자의 실시간 사용 패턴 분석을 이용한 정상 사용자 판별 방법 (A Real-Time User Authenticating Method Using Behavior Pattern Through Web)

  • 장진구;문종섭
    • 정보보호학회논문지
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    • 제26권6호
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    • pp.1493-1504
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    • 2016
  • 인터넷을 통한 사이버 위협이 증대됨에 따라 개인정보 침해도 지속적으로 발생하고 있다. 악의적인 사용자들은 유출된 개인정보를 도용하여 정상 사용자처럼 해당 웹사이트를 접근하고 불법적인 행동을 할 수 있다. 본 논문에서는 이러한 불법 사용자의 접근을 실시간으로, 효과적으로 탐지하기 위해 정상 사용자의 웹사이트 평시 사용 패턴을 멤버십 분석(membership analysis)과 마르코프 체인 모델(markov chain model)을 기반으로 프로파일링 함으로써, 정상 사용자를 판별하는 방법을 제안한다. 아울러 이러한 프로파일에 시간적인 특성, 즉 시간 가중치(time weight)를 적용하여, 시간적으로 변하는 사용자의 행동을 사용자의 프로파일에 반영한다. 이에 따라 시간에 따른 사용자의 성향을 반영한 결과를 얻을 수 있다. 본 연구를 통해 생성한 사용자별 프로파일을 기반으로 개인정보를 도용한 악의적인 사용자를 적발할 수 있고, 정상적인 사용자이더라도 민감한 정보에 접근하는 것을 방지할 수 있다. 본 연구를 적용한 결과, 정상 사용자에 대해 96%의 높은 판별 정확도를 보여주었다.

토양미생물에 의한 2, 4-D 분해에 관한 연구 (1) (2,4-D Biodegradation Using Microorganism Extracted From Soil (1))

  • 정연규;이병찬;김진욱
    • 상하수도학회지
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    • 제13권4호
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    • pp.45-53
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    • 1999
  • The microbial organisms named "Pseudomonas sp. LK-14" were isolated from farm land and shallow river sediment, activated, augmented and identified; which were using 2,4-D (2,4-Dichlorophenoxyacetic acid) as a sole carbon source and energy source. 2,4-D removal efficiency of LK-14 with 2,4-D sole carbon source (reactor S) were higher than that of Activated Sludge with 2,4-D sole carbon source (reactor A). Dynamic bioligical reaction kinetic parameters (sole carbon source was 2,4-D) obtained from batch reactor experiments were ${\mu}_{max}$ $0.105hr^{-1}$, $K_{s,24D}$ 15.64mg/L, $K_{i,24D}$ $1.94h^{r-1}$, $Y_{24D}$ 0.39 for LK-14 and ${\mu}_{max}$ $0.008hr^{-1}$, $K_{s,24D}$ 26.95mg/L, $K_{i,24D}$ $1.75hr^{-1}$, $Y_{24D}$ 0.10 for Activated Sludge. Using these parameters, we could predict the behaviors of 2,4-D substrate utilized by LK-14 and Activated Sludge in batch reactors. The kinetic parameters are enable to predict the 2,4-D substrate and microbial population behavior entering into wastewater treatment plants by using unsteady states dynamic simulation modeling technique.

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Human Activity Recognition Using Spatiotemporal 3-D Body Joint Features with Hidden Markov Models

  • Uddin, Md. Zia;Kim, Jaehyoun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권6호
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    • pp.2767-2780
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    • 2016
  • Video-based human-activity recognition has become increasingly popular due to the prominent corresponding applications in a variety of fields such as computer vision, image processing, smart-home healthcare, and human-computer interactions. The essential goals of a video-based activity-recognition system include the provision of behavior-based information to enable functionality that proactively assists a person with his/her tasks. The target of this work is the development of a novel approach for human-activity recognition, whereby human-body-joint features that are extracted from depth videos are used. From silhouette images taken at every depth, the direction and magnitude features are first obtained from each connected body-joint pair so that they can be augmented later with motion direction, as well as with the magnitude features of each joint in the next frame. A generalized discriminant analysis (GDA) is applied to make the spatiotemporal features more robust, followed by the feeding of the time-sequence features into a Hidden Markov Model (HMM) for the training of each activity. Lastly, all of the trained-activity HMMs are used for depth-video activity recognition.

수학적 최적화기법을 이용한 결함인식 연구 (Crack Identification Using Optimization Technique)

  • 서명원;유준모
    • 대한기계학회논문집A
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    • 제24권1호
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    • pp.190-195
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    • 2000
  • It has been established that a crack has an important effect on the dynamic behavior of a structure. This effect depends mainly on the location and depth of the crack. To identify the location and depth of a crack in a structure. Nikolakopoulos et. al. used the intersection point of the superposed contours that correspond to the eigenfrequency caused by the crack presence. However the intersecting point of the superposed contours is not only difficult to find but also incorrect to calculate. A method is presented in this paper which uses optimization technique for the location and depth of the crack. The basic idea is to find parameters which use the structural eigenfrequencies on crack depth and location and optimization algorithm. With finite element model of the structure to calculate eigenfrequencies, it is possible to formulate the inverse problem in optimization format. Method of optimization is augmented lagrange multiplier method and search direction method is BFGS variable metric method and one dimensional search method is polynomial interpolation.

대단면터널 특성을 고려한 지보설계 개선방안 연구 (Large-span Tunnel Support Design supplemented by Analytical Methods)

  • 정재호;이희석;허종석;윤상길
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2006년도 춘계 학술발표회 논문집
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    • pp.949-959
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    • 2006
  • Despite of the popularity of using empirical methods for support design, empirical rules suffer from the inherent problem of providing no indication of the safety degree of the design. For the support design of large span tunnel, it was considered that the empirical design guidelines should be augmented by more explicit design methods. This paper presents an overview of the analytical support design methodology that is used to refine initial empirical recommendations. The initial support design supplemented by analytical methods is validated by probabilistic and deterministic approach applied to stress-induced and structurally controlled gravity-driven instability problem each. As a result, the extent of the potential failure zone is sorted out and numerical parametric studies were performed to gain insight into the overall behavior of tunnel in the potential failure zone. Concequently, it was decided that additional conservation techniques have to be planed as a reserved support pattern.

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Simultaneous resonances of SSMFG cylindrical shells resting on viscoelastic foundations

  • Foroutan, Kamran;Ahmadi, Habib
    • Steel and Composite Structures
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    • 제37권1호
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    • pp.51-73
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    • 2020
  • The present paper investigates the simultaneous resonance behavior of spiral stiffened multilayer functionally graded (SSMFG) cylindrical shells with internal and external functionally graded stiffeners under the two-term large amplitude excitations. The structure is embedded within a generalized nonlinear viscoelastic foundation which is composed of a two-parameter Winkler-Pasternak foundation augmented by a Kelvin-Voigt viscoelastic model with a nonlinear cubic stiffness. The cylindrical shell has three layers consist of ceramic, FGM, and metal. The exterior layer of the cylindrical shell is rich ceramic while the interior layer is rich metal and the functionally graded material layer is located between these layers. With regard to classical shells theory, von-Kármán equation, and Hook law, the relations of stress-strain are derived for shell and stiffeners. The spiral stiffeners of the cylindrical shell are modeled according to the smeared stiffener technique. According to the Galerkin method, the discretized motion equation is obtained. The simultaneous resonance is obtained using the multiple scales method. Finally, the influences of different material and geometrical parameters on the system resonances are investigated comprehensively.

IRK vs Structural Integrators for Real-Time Applications in MBS

  • Dopico D.;Lugris U.;Gonzalez M.;Cuadrado J.
    • Journal of Mechanical Science and Technology
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    • 제19권spc1호
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    • pp.388-394
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    • 2005
  • Recently, the authors have developed a method for real-time dynamics of multibody systems, which combines a semi-recursive formulation to derive the equations of motion in dependent relative coordinates, along with an augmented Lagrangian technique to impose the loop closure conditions. The following numerical integration procedures, which can be grouped into the so-called structural integrators, were tested : trapezoidal rule, Newmark dissipative schemes, HHT rule, and the Generalized-${\alpha}$ family. It was shown that, for large multi body systems, Newmark dissipative was the best election since, provided that the adequate parameters were chosen, excellent behavior was achieved in terms of efficiency and robustness with acceptable levels of accuracy. In the present paper, the performance of the described method in combination with another group of integrators, the Implicit Runge-Kutta family (IRK), is analyzed. The purpose is to clarify which kind of IRK algorithms can be more suitable for real-time applications, and to see whether they can be competitive with the already tested structural family of integrators. The final objective of the work is to provide some practical criteria for those interested in achieving real-time performance for large and complex multibody systems.

Asymmetric Information Spillovers between Trading Volume and Price Changes in Malaysian Futures Market

  • Go, You-How;Lau, Wee-Yeap
    • The Journal of Asian Finance, Economics and Business
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    • 제1권3호
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    • pp.5-16
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    • 2014
  • This study aims to examine the dynamics of price changes and trading volume of Kuala Lumpur Options and Financial Futures Exchange (KLOFFE) from 2000 to 2008. With augmented analysis, our results support two hypotheses. First, under information spillover, our findings support noise traders' hypothesis as the time span for variance of past trading volume to cause variance of current return is found to be asymmetric under bull and bear markets. Second, looking at the dynamic relation between volume and volatility of price changes, our findings support Liquidity-Driven Trade hypothesis as past trading volume and subsequent volatility of return exhibit positive correlation. In terms of investors' behavior in response to the news, we find that investors are more risk taking in bull market and more risk reverse in bear market. Our study suggests that investors should adjust their strategy in the futures market in a dynamic manner as the time span of new information arrival is not consistent. Also, uninformed investors with information asymmetry should expect noninformational trading from informed investors to establish their desired positions for better liquid position.

Impact Factors Analysis on AR Shopping Service's Immersion

  • SHIN, Myoung-Ho;LEE, Young-Min;KIM, Jin-Hwan
    • 유통과학연구
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    • 제17권12호
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    • pp.13-21
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    • 2019
  • Purpose - It is very important to examine customer's behavior about AR shopping either practically or academically. Thus, it will be worthwhile to discuss more in details about AR utility which is even in early stage of distribution industry now. Research design, data, and methodology - This study has designed in consideration of control effects of perceived complexity based on customer's flow as dependent variable, and on AR characteristics and technology readiness as independent variables. Study data has been collected from questionnaires after using AR shopping service directly by those who are 20-30 years old of male and female respondents, which has been analyzed with 167 questionnaires. Hypothesis is verified using by hierarchical regression analysis. Results - After results of hypothesis verified, positive influence has been shown in terms of sensory immersion, manipulation, and optimism, however, it is rejected in relation to navigation and innovativeness. Control effect of perceived complexity has not been appeared. Conclusions - Implications of this study are as follows. First, AR shopping service has to provide an informational value. Second, by providing AR service to customer group, marketing activities will be in effects. Third, recognized complexity is not connected with significant control effect in terms of customer's devotion of service.