• Korean Journal of Computational Design and Engineering
• /
• v.12 no.1
• /
• pp.15-26
• /
• 2007

We have developed a method that enables a user to better understand and enjoy the contents of 3D digital archives, thereby enhancing the user's experience. The system's interactive interface, built using virtual reality technology, enables the user to "walk through" the archives, comparing two or the same content at different points in time. For example, a user can compare the proposed design for a building with the actual building and can compare the states of restoration of a cultural heritage site over time. This ability to perform multilateral comparisons enables the user to clarify the relationship between contents, the influence of one content on another, and the causal relationship between contents. Testing of a prototype system for a 3D digital archive of cultural heritage sites showed that it worked smoothly and that the users could easily operate the navigation system.

• Journal of Korea Spatial Information System Society
• /
• v.11 no.2
• /
• pp.73-78
• /
• 2009

Real-time 3D visualization of terrain data is one of the important issues in GIS(Geographic Information System) field. We present a real-time terrain rendering engine that can use several types of GIS data source such as DEM(Digital Elevation Map), DTED(Digital Terrain Elevation Data) and LIDAR(Light Detection And Ranging). Our rendering engine is a quadtree-based terrain rendering framework with several acceleration modules. This can generate an ocular and binocular image. Also it can be applied to the flight simulation, walk-through simulation and a variety of GIS applications.

• Journal of Veterinary Clinics
• /
• v.16 no.1
• /
• pp.65-68
• /
• 1999

This study was carried to get detailed information about the analeptic effect of yohimbine on succinylcholine muscle relaxant. Succinylcholine was administered intra- venously at a dose rate of 0.05 mg per kg of body weight and then ten minutes after the succinylcholine injection, yohimbine was administered intravenously at a dose rate of 0.1 mg per kg of body weight. The results obtained were as follows. 1. Induction time of muscle relaxation was fast and favourable as 38 seconds. 2. Mean arousal time and mean walk time were significantly shortened by yohimbine administration in the dogs immobilized with succinylcholine (p＜0.01). 3. Heart rate was slightly increased after succinylcholine administration, and increased significantly after yohimbine administration compared to the control group (p＜0.05). 4. Glucose concentration was slightly increased after succinylcholine administration, and decreased after yohimbine administration compared to the control group.

• 한국연소학회:학술대회논문집
• /
• 1999.10a
• /
• pp.139-148
• /
• 1999

In oder to analyze the effect of operating conditions on pulverized coal combustion, a numerical study is conducted at the pulverized coal combustor. Eulerian approach is used for the gas phase, whereas Lagrangian approach is used for the particle phase. Turbulence is modeled using standard ${\kappa}-{\varepsilon}$ model. The description of species transport and combustion chemistry is based on the mixture fraction/probability density function(PDF) approach. Radiation is modeled using P-l model. The turbulent dispersion of particles is modeled using discrete random walk model. Swirl number of secondary air affects the flame front, particle residence time and carbon conversion. Primary/Secondary air mass ratio also affects the flame front but little affects the carbon conversion and particle residence time. Air-fuel ratio only affects the flame front due to lack of oxygen. Radiation strongly affects the flame front and gas temperature distribution because pulverized coal flame of high temperature is considered.

• Proceedings of the KIEE Conference
• /
• 2003.11c
• /
• pp.449-451
• /
• 2003

The estimation of time-series data is fundamental process in many data analysis cases. However, the unwanted measurement error is usually added to true data, so that the exact estimation depends on efficient method to eliminate the error components. The wavelet transform method nowadays is expected to improve the accuracy of estimation, because it is able to decompose and analyze the data in various resolutions. Therefore, the wavelet based Kalman filter method for the estimation of time-series data is proposed in this paper. The wavelet transform separates the data in accordance with frequency bandwidth, and the detail wavelet coefficient reflects the stochastic process of error components. This property makes it possible to obtain the covariance of measurement error. We attempt the estimation of true data through recursive Kalman filtering algorithm with the obtained covariance value. The procedure is verified with the fundamental example of Brownian walk process.

• Journal of Korean Society for Quality Management
• /
• v.21 no.1
• /
• pp.181-189
• /
• 1993

Over the past two decades, forecasting has gained widespread acceptance as an integral part of business planning and decision making. Accurate forecasting is a prerequisite to successful planning. Accordingly, recent advances in forecasting techniques are of exceptional value to corporate planners. But most of forecasting mothods are reveal its limit and problem for precision and reliability duing to each relationship for raw data and possibility of explanation for each variable. Therefore, to construct the Integrated Forecasting Model(IFM) for Information Factor Analysis, it shoud be considered that whether law data has time lag and variables are explained. For this. following several method can be used : Least Square Method, Markov Process, Fibonacci series, Auto-Correlation, Cross-Correlation, Serial Correlation and Random Walk Theory. Thus, the unified property of these several functions scales the safety and growth of the system which may be varied time-to-time.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.41 no.4
• /
• pp.467-478
• /
• 2016

In this paper, we try to find the optimal locations of NeNB(Nomadic evolved NodeB)s for maximizing the overall throughput of the PS-LTE networks. Since finding optimal locations of all NeNBs in a given area is NP-hard(Non-deterministic Polynomial time-hard) problem, we proposed a PSO-based heuristic approach. In order to evaluate the performance, we conducted two experiments. We compared performance with other schemes such as Exhaustive Search, Random Walk Search, and locating neighboring NeNBs with the same NeNB-to-NeNB distance. The proposed method showed the similar results to the exhaustive search method in terms of locating optimal position and user's data throughput. The proposed method, however, has the fast and consistent convergence time.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.2 no.3
• /
• pp.43-56
• /
• 1982

A recursive algorithms for prediction of streamflows by Kalman filtering theory and Self-tuning predictor based on the state space description of the dynamic systems have been studied and the applicabilities of the algorithms to the rainfall-runoff processes have been investigated. For the representation of the dynamics of the processes, a low-order ARMA process has been taken as the linear discrete time system with white Gaussian disturbances. The state vector in the prediction model formulated by a random walk process. The model structures have been determined by a statistical analysis for residuals of the observed and predicted streamflows. For the verification of the prediction algorithms developed here, the observed historical data of the hourly rainfall and streamflows were used. The numerical studies shows that Kalman filtering theory has better performance than the Self-tuning predictor for system identification and prediction in rainfall-runoff processes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.10a
• /
• pp.594-597
• /
• 2017

The purpose of this study is to evaluate the effects of Action-observational training program on gait and balance of patients with hemiplegia. Subjects of this study, among the patients who received the diagnosis cerebral vascular accident, for patients total of 4 people have agreed to research. Experimental group 2 people, control group 2 people, was a total of 4 people. Group-specific arbitration method, was applied to Action-observational training program(experimental group) and general Task-oriented training program(control group). Each training courses 30 minutes for 4 weeks, examined the changes in 10 Meter Walk Test(10MWT), gait speed, Berg Balance Scale(BBS) and time up and go(TUG) ability to examine a total of 4-week course effectively. The intervention were compared by measuring before and after. There were significant improvements in the subscales of the gait and balance test of those who practiced with the Action-observational training program, while the control group showed no significant changes. Therefore, Action-observational training program is effective in improvement of to improve the gait and balance in patients with hemiplegia.

• Journal of Korea Water Resources Association
• /
• v.31 no.3
• /
• pp.347-360
• /
• 1998

Numerical simulations for fluid flow and solute transport in a fracture rock masses are performed by using a transient flow model, which is based on the three-dimensional stochastic and discrete fracture network model (DFN model) and is coupled hydraulic model with mechanical model. In the numerical simulations of the solute transport, we used to the particle following algorithm which is similar to an advective biased random walk. The purpose of this study is to predict the response of the tracer test between two deep bore holes (GPK1 and GPK2) implanted at Soultz sous Foret in France, in the context of the geothermal researches.l The data sets used are obtained from in situcirculating experiments during 1995. As the result of the transport simulation, the mean transit time for the non reactive particles is about 5 days between two bore holes.