• Title/Summary/Keyword: Virtual methods

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Real-time collision detection for dynamic objects (동적 객체간의 실시간 충돌 감지 알고리즘)

  • Oh, Sang-Young;Hwang, Seon-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.3
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    • pp.717-720
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    • 2008
  • This paper studies a collision detection technique to dealing with moving polyhedra. Even though the problem is well-studied in computer graphics, the existing methods are inapplicable to highly dynamic environments. We use the GJK algorithm to determine collisions between convex objects. Also, our method is applied for moving objects.

Investigation Problem-Solving in Virtual Spaces: The Knowledge Network of Experts (온라인 공간에서의 문제해결: 전문가 지식 네트워크에 관한 사례연구)

  • Koh, Joon;Jeon, Sungil
    • Knowledge Management Research
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    • v.6 no.2
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    • pp.149-168
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    • 2005
  • Owing to the limits of IT System-driven knowledge management(KM) for innovation processes, alternative KM methods has been suggested such as: (1) the knowledge network of experts or (2) communities-of-practice. This study analyzes two cases in terms of on-line expert knowledge networks for problem-solving, with the dimensions of analysis based on a theoretical framework. By analyzing the cases of S company's expert network and Naver's Ji-sik-iN, we found that system quality(e.g., ease of use, accessibility, and searching function), information/knowledge quality(e.g., usefulness, accuracy, and timeliness), knowledge-sharing culture, social capital and relevant reward systems are important for stimulating a Q&A-based problem-solving knowledge network. Implications of the findings and future research directions are discussed.

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Flowing Water Editing and Synthesis Based on a Dynamic Texture Model

  • Zhang, Qian;Lee, Ki-Jung;WhangBo, Taeg-Keun
    • Journal of Korea Multimedia Society
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    • v.11 no.6
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    • pp.729-736
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    • 2008
  • Using video synthesis to depict flowing water is useful in virtual reality, computer games, digital movies and scientific computing. This paper presents a novel algorithm for synthesizing dynamic water scenes through a sample video based on a dynamic texture model. In the paper, we treat the video sample as a 2-D texture image. In order to obtain textons, we analyze the video sample automatically based on dynamic texture model. Then, we utilize a linear dynamic system (LDS) to describe the characteristics of each texton. Using these textons, we synthesize a new video for dynamic flowing water which is prolonged and non-fuzzy in vision. Compared with other classical methods, our method was tested to demonstrate the effectiveness and efficiency with several video samples.

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Efficient Compression Schemes for Double Random Phase-encoded Data for Image Authentication

  • Gholami, Samaneh;Jaferzadeh, Keyvan;Shin, Seokjoo;Moon, Inkyu
    • Current Optics and Photonics
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    • v.3 no.5
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    • pp.390-400
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    • 2019
  • Encrypted images obtained through double random phase-encoding (DRPE) occupy considerable storage space. We propose efficient compression schemes to reduce the size of the encrypted data. In the proposed schemes, two state-of-art compression methods of JPEG and JP2K are applied to the quantized encrypted phase images obtained by combining the DRPE algorithm with the virtual photon counting imaging technique. We compute the nonlinear cross-correlation between the registered reference images and the compressed input images to verify the performance of the compression of double random phase-encoded images. We show quantitatively through experiments that considerable compression of the encrypted image data can be achieved while security and authentication factors are completely preserved.

Extension of the variational theory of complex rays to orthotropic shallow shell structures

  • Cattabiani, Alessandro;Barbarulo, Andrea;Riou, Herve;Ladeveze, Pierre
    • Advances in aircraft and spacecraft science
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    • v.3 no.3
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    • pp.317-330
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    • 2016
  • Nowadays, the interest of aerospace and automotive industries on virtual testing of medium-frequency vibrational behavior of shallow shell structures is growing. The development of software capable of predicting the vibrational response in such frequency range is still an open question because classical methods (i.e., FEM, SEA) are not fully suitable for the medium-frequency bandwidth. In this context the Variational Theory of Complex Rays (VTCR) is taking place as an ad-hoc technique to address medium-frequency problems. It is a Trefftz method based on a weak variational formulation. It allows great flexibility because any shape function that satisfies the governing equations can be used. This work further develops such theory. In particular, orthotropic materials are introduced in the VTCR formulation for shallow shell structures. A significant numerical example is proposed to show the strategy.

A Study on the Effects of Storytelling on Digital Game Development (스토리텔링이 디지털 게임 개발에 미치는 영향에 관한 연구)

  • Park, Chanik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.4
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    • pp.149-154
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    • 2018
  • A game story that used to be free needs a work of concrete and artificial organizing and arranging these days. This is because a game story is frequently made into a new genre such as a movie or an animation. As shown in many previous studies, most of the movies made from successful digital games failed to receive satisfying box office results. To overcome this, narratively completed storytelling should be presented from the development phase of a game. The methods are as follows: It is necessary to maximize the synergy effect through the interaction between storytelling experts, game developers, animators, and movie producers in developing a game. This will help to create a game with more sophisticated and complete narrative structure than now. It is necessary to secure the diversification of game genres. Currently in Korea, online games are unusually leading the game industry. PC games or console games are more advantageous than online games for putting a finished narrative structure into a game.

Realistic Scenes Reproduction Based on Total Variation

  • Li, Weizhong;Ma, Honghua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.11
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    • pp.4413-4425
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    • 2020
  • In order to completely record all the information of realistic scenes, high dynamic range (HDR) images have been widely used in virtual reality, photography and computer graphics. A simple yet effective tone mapping method based on total variation is proposed so as to reproduce realistic scenes on low dynamic range (LDR) display devices. The structural component and texture component are obtained using total variation model in logarithmic domain. Then, the dynamic range of the structural component is compressed with an adaptive arcsine function. The texture component is processed by Taylor series. Finally, we adjust the saturation component using sigmoid function and restore the color information. Experimental results demonstrate that our method outperforms existing methods in terms of quality and speed.

Augmented Reality Framework for Efficient Access to Schedule Information on Construction Sites (증강현실 기술을 통한 건설 현장에서의 공정 정보 활용도 제고 방안)

  • Lee, Yong-Ju;Kim, Jin-Young;Pham, Hung;Park, Man-Woo
    • Journal of KIBIM
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    • v.10 no.4
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    • pp.60-69
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    • 2020
  • Allowing on-site workers to access information of the construction process can enable task control, data integration, material and resource control. However, in the current practice of the construction industry, the existing methods and scope is quite limited, leading to inefficient management during the construction process. In this research, by adopting cutting edge technologies such as Augmented Reality(AR), digital twins, deep learning and computer vision with wearable AR devices, the authors proposed an AR visualization framework made of virtual components to help on-site workers to obtain information of the construction process with ease of use. Also, this paper investigates wearable AR devices and object detection algorithms, which are critical factors in the proposed framework, to test their suitability.

CADRAM - Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing

  • Abdullah, M.;Surputheen, M. Mohamed
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.95-100
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    • 2022
  • Cloud computing platform is a shared pool of resources and services with various kind of models delivered to the customers through the Internet. The methods include an on-demand dynamically-scalable form charged using a pay-per-use model. The main problem with this model is the allocation of resource in dynamic. In this paper, we have proposed a mechanism to optimize the resource provisioning task by reducing the job completion time while, minimizing the associated cost. We present the Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing CADRAM system, which includes more than one agent in order to manage and observe resource provided by the service provider while considering the Clients' quality of service (QoS) requirements as defined in the service-level agreement (SLA). Moreover, CADRAM contains a new Virtual Machine (VM) selection algorithm called the Node Failure Discovery (NFD) algorithm. The performance of the CADRAM system is evaluated using the CloudSim tool. The results illustrated that CADRAM system increases resource utilization and decreases power consumption while avoiding SLA violations.