• Journal of Korea Game Society
• /
• v.21 no.2
• /
• pp.79-88
• /
• 2021

Particle and noise are effectively used to implement unspecific VFX like an explosion, magic. Particle can create freely but, The more usage, the higher CPU/GPU usage. This paper using polygon mesh that is hard to change but consumes fixed resources to overcome the demerit of particle and reduce CPU/GPU usage. Also, using shader, apply noise texture that is suitable unspecific pattern to vertex and surface texture mapping of polygon mesh for implement VFX in unity. As a result of experiment, shader applied sphere polygon mesh show 2~4ms CPU, 1~2ms GPU usage in profiler. Also It has been shown that shader can be used to implement unspecific VFX.

• Fire Science and Engineering
• /
• v.29 no.1
• /
• pp.12-18
• /
• 2015

This study has conducted an experiment of comparing the flame resistant performance and combustion characteristics according to flame resistant treatment using the Cypress Luba and particle board that is commonly used for interior decoration and furniture. As a result of testing the flame resistant performance of Cypress Luba, the Cypress Luba injected with flame resistant resin using the vacuum pressure treatment has shown to have better performances (carbonized area 9.55% and carbonized length 22.91%) than the Cypress Luba treated with flame resistant coating having rubberized plastic components on its surface. For particle board, the specimen attached with fireproof film was identified to be better (carbonized area 40.10% and carbonized length 43.40%) than the specimen with non-fireproof film. For the results of combustion characteristics using the Cone Calorimeter, the specimen treated with flame resistant coating on the surface had faster ignition than the Cypress Luba injected with fire resistant resin using vacuum pressure treatment, and in the total release of calories, the Cypress Luba injected with fire resistant resin using vacuum pressure had $68.2MJ/m^2$, and the specimen treated with fire resistant coating on the surface had $111.52MJ/m^2$. For the particle board, the ignition time had a little difference but in the total release of calories, the specimen attached with fireproof film had $90.1MJ/m^2$ and the specimen with non-fireproof film had $107.6MJ/m^2$.

• Journal of Korea Water Resources Association
• /
• v.55 no.10
• /
• pp.761-774
• /
• 2022

Accurate hydrologic prediction is essential to analyze the effects of drought, flood, and climate change on flow rates, water quality, and ecosystems. Disentangling the uncertainty of the hydrological model is one of the important issues in hydrology and water resources research. Hydrologic data assimilation (DA), a technique that updates the status or parameters of a hydrological model to produce the most likely estimates of the initial conditions of the model, is one of the ways to minimize uncertainty in hydrological simulations and improve predictive accuracy. In this study, the two ensemble-based sequential DA techniques, ensemble Kalman filter, and particle filter are comparatively analyzed for the daily discharge simulation at the Yongdam catchment using airGRdatassim. The results showed that the values of Kling-Gupta efficiency (KGE) were improved from 0.799 in the open loop simulation to 0.826 in the ensemble Kalman filter and to 0.933 in the particle filter. In addition, we analyzed the effects of hyper-parameters related to the data assimilation methods such as precipitation and potential evaporation forcing error parameters and selection of perturbed and updated states. For the case of forcing error conditions, the particle filter was superior to the ensemble in terms of the KGE index. The size of the optimal forcing noise was relatively smaller in the particle filter compared to the ensemble Kalman filter. In addition, with more state variables included in the updating step, performance of data assimilation improved, implicating that adequate selection of updating states can be considered as a hyper-parameter. The simulation experiments in this study implied that DA hyper-parameters needed to be carefully optimized to exploit the potential of DA methods.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
• /
• 1999.11a
• /
• pp.30-36
• /
• 1999

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.3
• /
• pp.551-560
• /
• 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 agriculture & life science
• /
• v.46 no.2
• /
• pp.43-48
• /
• 2012

This study was investigated on the properties of board made from Miscanthus sinensis var. purpurascens particles differed in density of board and mixed ratio of powder type- and liquid type-phenolic resin. As the board density increase, thickness swelling and bending strength increased while water absorption decreased. With increasing the resin content, water absorption and thickness swelling decreased while MOR and internal bond strength increased. The board made of liquid type phenol-formaldehyde resin was low in water absorption and thickness swelling, and there were similar bending strengths between power type- and liquid type-phenol resin in resin cont of 11% and 13% at the board density $0.4g/cm^3$ and internal bond strength was higher with liquid type-phenolic resin in its bending strength.

• The KIPS Transactions:PartB
• /
• v.18B no.1
• /
• pp.11-20
• /
• 2011

Pictorial Structures is known as an effective method that recognizes and tracks human poses. In this paper, the upper body pose is also tracked by PS and a particle filter(PF). PF is one of dynamic programming methods. But Markov chain-based dynamic motion model which is used in dynamic programming methods such as PF, couldn't predict effectively the highly articulated upper body motions. Therefore PF often fails to track upper body pose. In this paper we propose the key pose-based proposal distribution for proper particle prediction based on the similarities between key poses and an upper body silhouette. In the experimental results we confirmed our 70.51% improved performance comparing with a conventional method.

• Journal of the Korean Wood Science and Technology
• /
• v.30 no.1
• /
• pp.34-39
• /
• 2002

This study examined the effect of carbonized wastewoods on purification of waste water. The purification ability of charcoals(lump-shaped, approximately 3×3×3 cm) maded by wood-based material for waste water from a kitchen and septic tank was superior to those of thinned wood. For lump-shaped charcoal, gaps between particles in particleboard, and gaps between fibers in MDF were much more effective than micropore in purification of waste water. After purification test, color of waste water from wood-based material charcoals were much more lighter than thinned wood charcoals. In addition, odors of waste water from both charcoals tended to be decreased.

• Journal of Korea Water Resources Association
• /
• v.50 no.4
• /
• pp.241-252
• /
• 2017

This study aims to evaluate applicability of both online and offline parameter calibration techniques on rainfall-runoff modeling using a conceptual lumped hydrologic model. To achieve the goal, the storage function model was selected and then two different automatic calibration techniques: SCE-UA (offline method) and particle filter (online method) were applied to calibrate the optimal parameter sets for 9 rainfall events in the Cheoncheon catchment, upper area of the Yongdam multi-purpose dam. In order to assess reproducibility of hydrographs from the parameter sets of both techniques, the observed discharge of each event was divided into low flow (below average flow) and high flow (over average flow). The results show that the particle filter method, updating the parameters in real-time, provides more stable reproducibility than the SCE-UA method regardless of low and high flow. The optimal parameters estimated by SCE-UA are very sensitive to the selected objective functions used in this study: RMSE and HMLE. In particular, the parameter sets from RMSE and HMLE demonstrate superior goodness-of-fit values for high flow and low flow periods, respectively.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.25 no.1
• /
• pp.70-77
• /
• 2015

This paper proposes an application of unscented Kalman filter(UKF) for localization of an underwater robot. The method compares the bathymetric measurement from the robot with the seabed terrain information. For the measurement of bathymetric range to seabed, it uses a DVL which typically yields four range data together with velocity of the robot. Usual extended Kalman filter is not appropriated for application in case of terrain navigation, since it is not feasible to derive Jacobian for the bathymetric range measurement. Though particle filter(PF) is a nice solution which doesn't require Jacobian and can deal with non-linear and non-Gaussian system and measurement, it suffers from heavy computational burden. The paper compares the localization performance and the computation time of the UKF approach and PF approach. Though there have been some UKF methods which are used for underwater navigation, application of the UKF for bathymetric localization is rare. Especially, the proposed method uses only four range data whereas many of the bathymetric navigation methods have used multibeam sonar which yields hundreds of scanned range data. The result shows feasibility of the UKF approach for terrain-based navigation using small numbers of range data.