• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2003.06a
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• pp.106-127
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• 2003

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2000.11a
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• pp.104-112
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• 2000

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.62-69
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• 2012

The newly developed field of media art is quickly making progress to include various and up-to-date forms of expression. Unlike in traditional art, the communication between the art and the viewer has become vastly important, in which the viewer is an active agent who participates and interacts with the artwork. These digital artworks can now be readily observed in everyday places and things, rather than being confined solely in the gallery space. By encouraging open interaction with the public, media art has become more accessible. Accordingly, this thesis examines the construction of a real-time multimedia clock piece using particle systems. Time has always been a significant theme in the realm of traditional art, which continues to be explored extensively in various forms of expression. In an attempt to express the continuity of time and the state of being value of existence based on technological skills, the thesis presents an artwork that uses the popular medium of a clock while also providing both usability and emotional satisfaction for the viewer's sensibility through interaction.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.7
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• pp.629-635
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• 2016

This paper presents a method for predicting and tracking the irregular motion of bio-systems, - such as petals of flowers, butterflies or seeds of dandelion - based on the particle filtering theory. In bio-inspired system design, the ability to predict the dynamic motion of particles through adequate, experimentally verified models is important. The modeling of petal particle systems falling in air was carried out using the Bayesian probability rule. The experimental results show that the suggested method has good predictive power in the case of random disturbances induced by the turbulence of air.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2002.05a
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• pp.56-56
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• 2002

제지산업의 발전에 따라 치환도가 다른 여러 가지 용도의 양성 전분이 개발되어 적 용되고 있다. 특히 보류제로서 양성전분을 사용할 경우 보류 향상과 더불어 강도개선 효과를 동시에 얻을 수 있는 이점을 지니고 었다. 하지만 용수 조건의 악화, 미세분 함 량의 증가 등과 같은 점차 열악해지는 초지공정에 적용하기 위해서는 보다 높은 치환 도의 전분이 요구 되고 있다. 이에 본 연구에서는 고치환 양성 전분이 초지계 내에 첨가되었올 경우 나타나는 홉 착 특성을 파악하고, 보류 및 탈수 성능을 평가함으로서 올바른 적용 방법을 제시하고 적용 효율의 극대화를 모색하고자 하였다. 산-염기 세척과정을 거쳐 제조한 활엽수 BKP를 이용해 지료를 조성하고, DDA

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.551-552
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• 2012

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.8
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• pp.818-822
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• 2008

The purpose of this study is to develop realistic painting simulation in real-time as well as to represent the thickness of the deposited paint on the surface. The Gaussian model is used for a painting deposition model to calculate the thickness of paints. For a painting simulation, rather than implementing particle systems, we propose a new heuristic algorithm for painting process based on a few number of rays. After we find the collision points of the rays with an environment, we compute the painted area using flood-fill searching method on the texture map and visualize paint effects. We analyzed time complexity of our method to verify that our system is suitable for real-time VR applications.

• Journal of Korea Game Society
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• v.3 no.1
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• pp.3-9
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• 2003

This paper deals with animation of snowy scenery using texture mapping and particle system. Two different OpenGL programs were prepared and compared for implementation and evaluation of their performance. One used glPointSize(), and the other used glut SoildSphere(). Result of implementation revealed that the first was faster than the second. So the first is considered to be more useful for the slow PC. In relation to the first method, I found that control of shape of snow flake conflicts with that of color. Fortunately, I found out an esoteric method which handles the back ground image for scene that is used in texture mapping, I present that method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.551-560
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• 2011

Recently, There has been increasing concern about WLAN-based indoor positioning system. Most of the existing WLAN-based positioning systems use a fingerprinting method as a main approach. In the fingerprinting approach, the accuracy of the location of a mobile objects is proportional to the number of reference points. However, depending on the increasing number of reference points in the training phase, it requires more time and effort to create fingerprint database. To solve these problems, we propose the new indoor positioning algorithm that calculate the distance between a mobile objects and an AP using the information of surrounding environment WLAN based APs and applied the particle filter to the proposed algorithm in order to improve the accuracy of the estimated location in this paper. To implement this algorithm, at first environmental information database such as wall, iron door, glass door, partition etc. existing in the periphery of the AP should be established. The positioning use attenuation model and path loss model. Our experimental results with proposed algorithm are verified that the positioning accuracy was low but solved the problems with fingerprinting, compared with other positioning algorithms.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.25 no.4
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• pp.355-362
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• 2012

Remaining useful life(RUL) prediction of a system is important in the prognostics field since it is directly linked with safety and maintenance scheduling. In the physics-based prognostics, accurately estimated model parameters can predict the remaining useful life exactly. It, however, is not a simple task to estimate the model parameters because most real system have multivariate model parameters, also they are correlated each other. This paper presents representative methods to estimate model parameters in the physics-based prognostics and discusses the difference between three methods; the particle filter method(PF), the overall Bayesian method(OBM), and the sequential Bayesian method(SBM). The three methods are based on the same theoretical background, the Bayesian estimation technique, but the methods are distinguished from each other in the sampling methods or uncertainty analysis process. Therefore, a simple physical model as an easy task and the Paris model for crack growth problem are used to discuss the difference between the three methods, and the performance of each method evaluated by using established prognostics metrics is compared.