• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.159-161
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• 2004

Many motion object detection algorithms rely on the process of background subtraction, an important technique that is used for detecting changes from a model of the background scene. This paper propose a novel method to update the background model image of a visual surveillance system which is not stationary. In order to do this, we use a background model based on statistical qualities of monitored images and another background model that excluded motions. By comparing each changed area computed from the two background model images and current monitored image, the areas that will be updated are decided.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 1995.10a
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• pp.32-32
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• 1995

선박의 운항 상태를 재현하기 위한 시뮬레이터의 가시화 프로그램은 컴퓨터 그래픽 기법을 이용하여 사용자에게 실제로 선박을 운항하는 현실감을 제공하는 기능을 가져야 한다. 시뮬레이터를 위한 3차원 그래픽의 특성은 실제 상황을 실시간(real-time)으로 재현(15∼30Hz Update rates)해야 하는 기능이 요구되기 때문에 시점 변화에 빠른 그래픽 관련 계산 및 화면 표시에 필요한 시간 제약이 비교적 적은 CAD나 Animation용 3차원 그래픽 시스템과 달리, 시뮬레이션 대상 물체의 운동 상태를 정확히 표현하기 위한 빠른 3차원 그래픽 재현 기능이 매우 중요한 요소가 된다. 그러나 현실감 재현의 관점에서 광고 및 영화용 Animation시스템에서와 같은 Poto-Realistic한 현실감 재현 기능도 무시할 수 없는 요소이고, 현재 최신 컴퓨터 그래픽 기술의 발전과 고성능 그래픽 장비의 개발로 빠른 update rate의 현실감 있는 화면 재현이 가능해 지고 있고 이러한 기능의 요구가 점차 높아지고 있다.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.2
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• pp.160-171
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• 2008

MU's mobility patterns can be found from a movement history data. The prediction accuracy and model complexity depend on the degree of application of history data. The more data we use, the more accurate the prediction is. As a result, the location management cost is reduced, but complexity of the model increases. In this paper, we classify MU's mobility patterns into four types. For each type, we find the respective optimal number of application of history data, and predictive location area by using the simulation. The optimal numbers of four types are shown to be different. When we use more than three application of history data, the simulation time and data storage are shown to increase very steeply.

• The Journal of Information Systems
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• v.10 no.1
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• pp.279-301
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• 2001

This study was examined empirically the relationship between exogenous and endogenous variables to use internet shopping malls. Exogenous variables in our model are retrieval simpleness, quality of order treatment, web reputation, update and system quality and endogenous variables are perceived usefulness, perceived ease of use and intention of using internet shopping malls. The results of the path analysis are shown as follows. All exogenous variables have a direct effect on perceived ease of use while both retrieval simpleness and update has a direct effect on perceived usefulness. The perceived ease of use has a direct effect on the intention of using internet shopping malls and has a indirect effect on the intention through perceived usefulness. Especially, web reputation among the exogenous variables has the strongest impact on the perceived ease of use and retrieval has the strongest impact on the perceived usefulness.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.37 no.2
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• pp.1-7
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• 2000

In this paper, an adaptive control law for nonlinear systems represented by input-output models are proposed under the assumption that unknown system parameters are in a known compact and convex set. Contrary to the previous results, the compact and convex set is not restricted to a ball whose center is at the origin or convex hypercube. It is proven that the proposed parameter update rule produces a sequence of parameters which reside in the set and guarantees that the position, velocity, and acceleration error converges to zero as time goes to infinity. This theoretical result was justified through simulations.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.822-825
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• 1999

This paper compares two methods of GPS/INS integration ; tightly-coupled integration ana loosely-coupled integration. In the tightly -coupled method an integrated Kalman filter is designed to process raw GPS measurement data for state update and INS data for propagation. The loosely-coupled integration method uses the solution outputs from a stand-alone GPS receiver for update. The loosely-coupled method is simpler and can readily be applied to off-the-self receivers and sensors while the tightly-coupled integration requires access to raw measurement mechanism of the receiver. Simulation result show that the tightly-coupled integration system exhibits better performance and robustness than loosely-coupled integration method.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.1-8
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• 2017

In this paper, we propose a new hybrid wear leveling technique for NAND Flash memory, called Time-Aware Wear Leveling (TAWL). Our proposal prolongs the lifetime of NAND Flash memory by using dynamic wear leveling technique which considers the wear level of hot blocks as well as static wear leveling technique which considers the wear level of the whole blocks. TAWL also reduces the overhead of garbage collection by separating hot data and cold data using update frequency rate. We showed that TAWL enhanced the lifetime of NAND flash memory up to 220% compared with previous wear leveling techniques and our technique also reduced the number of copy operations of garbage collections by separating hot and cold data up to 45%.

• Genomics & Informatics
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• v.6 no.2
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• pp.95-97
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• 2008

Many bioinformatics sites have managed local bio-databases, including major databases such as GenBank and PIR with update load. We have developed several programs to monitor the update status of these databases and to FTP them automatically. These programs can be used for maintaining local bio-databases as recent versions and providing up-to-date databases through FTP sites. Currently, the program serves major bio-databases and will extend to accommodate many more bio-databases.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.509-513
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• 2002

This paper presents a semi-blind Minimum Mean Square Error (MMSE) beamforming adaptive algorithm used far OFDM/CDMA combined system. The proposed algorithm exploits the transmitting pilot signal in the initial period of the transmission to update the weight vector. Then it applies the blind adaptive period to update the weight vector, in which the pilot signal is no longer used. The derivation of the algorithm based on the Mean Square Error (MSE) criterion is also presented. Computer simulation is carried out to verify the performance of the proposed approach.

• Journal of the Semiconductor & Display Technology
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• v.18 no.3
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• pp.1-6
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• 2019

Foreground/background segmentation in video sequences is often one of the first tasks in machine vision applications, making it a critical part of the system. In this paper, we present an improved sample-based technique that provides robust background image as well as segmentation mask. The conventional multiple interval sampling (MIS) algorithm have suffer from the unbalance of computation time per frame and the rapid change of confidence factor of background pixel. To balance the computation amount, a random-based pixel update scheme is proposed and a spatial and temporal smoothing technique is adopted to increase reliability of the confidence factor. The proposed method allows the sampling queue to have more dispersed data in time and space, and provides more continuous and reliable confidence factor. Experimental results revealed that our method works well to estimate stable background image and the foreground mask.