• KIPS Transactions on Computer and Communication Systems
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• v.7 no.9
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• pp.227-234
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• 2018

Guaranteeing the end-to-end delay deadline is an important issue for quality of service (QoS) of delay sensitive systems, such as real-time system, networked control system (NCS), and cyber-physical system (CPS). Most routing algorithms typically use the mean end-to-end delay as a performance metric and select a routing path that minimizes it to improve average performance. However, minimum mean delay is an insufficient routing metric to reflect the characteristics of the unpredictable wireless channel condition because it only represents average value. In this paper, we proposes a deadline-aware routing algorithm that maximizes the probability of packet arrival within a pre-specified deadline for CPS by considering the delay distribution rather than the mean delay. The proposed routing algorithm constructs the end-to-end delay distribution in a given network topology under the assumption of the single hop delay follows an exponential distribution. The simulation results show that the proposed routing algorithm can enhance QoS and improve networked control performance in CPS by providing a routing path which maximizes the probability of meeting the deadline.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.1295-1298
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• 2005

기존 TCP Reno 의 혼잡 제어는 트래픽에 수동적으로 동작하는 방법으로서 혼잡이 이미 발생한 상태에서 동작하게 되므로 발생 시점의 라우터 버퍼는 이미 최대치에 도달해 있게 된다. 따라서 이후에 도착하는 모든 패킷은 폐기되므로 이 패킷들을 전송한 모든 송신원은 거의 동시에 윈도우 크기를 줄이는 Slow-start 단계에 들어가게 되어 일시적으로 링크 사용률이 떨어지는 전역 동기화(global synchronization)가 발생하게 된다. 이러한 문제를 해결하기 위해서는 네트워크의 혼잡이 발생하기 전에 능동적으로 대처하는 방안이 필요하다. 본 논문에서는 새로운 RTT 계산 알고리즘인 순방향/역방향 전송지연 알고리즘을 이용하여 네트워크의 혼잡을 미리 예측하고 네트워크 혼잡에 능동적으로 대처할 수 있는 새로운 알고리즘을 제안한다. 본 논문에서는 리눅스(Linux) 커널(Kernel)의 TCP Reno 의 흐름제어 및 혼잡제어를 수정하여 네트워크 혼잡에 능동적으로 대처 할 수 있는 새로운 TCP Reno 를 설계, 구현하였다.

• The Journal of Natural Sciences
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• v.8 no.1
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• pp.123-129
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• 1995

This paper describes the design and implementation of multimedia presentation system based on the compensative synchronization algorithm. We proposed the compensative synchronization algorithm in compensation for previously preestimated delay-time in order to minimize delay-time in multimedia presentation system. The presentation system uses compensative synchronization algorithm and have multimedia objects as text, raster graphics, geometric graphics, or audio.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.43 no.8 s.350
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• pp.35-43
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• 2006

In the paper, we propose a new method for power optimization that uses path balancing based on stochastic estimation of glitch in Statistical Static Timing Analysis (SSTA). The proposed method estimates the probability of glitch occurrence using tightness probability of each node in timing graph. In addition, we propose efficient gate sizing technique for glitch reduction using accurate calculation of sizing effect in delay considering probability of glitch occurrence. The efficiency of proposed method has been verified on ISCAS85 benchmark circuits with $0.16{\mu}m$ model parameters. Experimental results show up to 8.6% of accuracy improvement in glitch estimation and 9.5% of optimization improvement.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.247-249
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• 2011

기존의 OFDMA 시스템에서의 자원할당 기술은 주로 완벽한 채널정보에 기반하여 송신 전력, 부반송파를 할당하였다. 하지만 실제 시스템에서는 사용자의 움직임이나 채널 피드백 지연에 의해 완전한 채널정보를 얻을 수 없다. 본 논문에서는 불완전한 채널 정보를 갖는 OFDMA 중계 네트워크를 위한 자원 할당 기법을 제안한다. 불완전한 채널 정보를 갖는 환경에서는 패킷 오류가 발생할 확률이 높기 때문에 이를 예측하여 적응적 데이터 전송률을 할당하는 기법이 필요하다. 제안된 알고리즘은 채널 정보를 예측하여 데이터 전송률, 그리고 부반송파 할당을 통해 유효처리율을 최대화시킨다. 모의 실험 결과 제안된 알고리즘은 채널정보를 예측하지 않는 단순한 알고리즘과 비교하여 더 높은 유효처리율을 갖음을 확인하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.755-761
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• 2017

In railways powered by AC power, the main circuit breaker (MCB) is used for supplying the electric power to the catenary of the vehicle. Generally, the main circuit breaker is located between the pantograph and the main transformer, and the phase of the power applied to the vehicle changes according to the operation timing of the main circuit breaker. The operation of the main circuit breaker should be actively controlled according to the phase of the power source, since the phase of the power causes unintended transient states in the vehicle's electrical system in the form of an inrush current and surge voltage. However, the MCB has a delay time when it operates which is not constant. Therefore, an intelligent controller is needed to predict the operation delay time and control the opening and closing of the MCB.

• Journal of Navigation and Port Research
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• v.35 no.1
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• pp.83-91
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• 2011

The accuracy of forecasting is remarkably important to reduce total cost or to increase customer services, so it has been studied by many researchers. In this paper, the artificial neural network (ANN), one of the most popular nonlinear forecasting methods, is compared with autoregressive integrated moving average(ARIMA) model through performing a prediction of container traffic. It uses a hybrid methodology that combines both the linear ARIAM and the nonlinear ANN model to improve forecasting performance. Also, it compares the methodology with other models in performance for prediction. In designing network structure, this work specially applies the genetic algorithm which is known as the effectively optimal algorithm in the huge and complex sample space. It includes the time delayed neural network (TDNN) as well as multi-layer perceptron (MLP) which is the most popular neural network model. Experimental results indicate that both ANN and Hybrid models outperform ARIMA model.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.5
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• pp.592-598
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• 2008

This paper presents collision prediction and avoidance method for AGVS (Automatic Guide Vehicle System). Also, we propose the PO(Right of Path Occupying) with decentralized delay time for collision avoidance. Classified essential element of AGV's working environment is modeled in this paper. Using this model, we propose a new shortest path algorithm using A* search algorithm and obtain the information on AGVs travel time, coordinates and rotation vector. Finally, we use the AGVs information data as input for simulation program. The simulation practice is used in order to evaluate a collision prediction and avoidance, and it has been presented to demonstrate the applicability of the minimize delay time.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.9B
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• pp.829-837
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• 2006

Due to the internet network congestion, packets may be dropped or delayed at routers. This phenomenon degrades the quality of streaming applications that require high QoS requirements. The proposed algorithm in this paper, called DBRC(Delay-Based Rate Control), tries to cause router queue occupancy to reach a steady state or equilibrium by throttling the transmission rate of the multimedia traffics when network delays tend to increase and also probing for more bandwidth when network delays tend to decrease. Simulation results show that the proposed algorithm provides smooth transmission rate, nearly constant delay and low packet loss rates, compared with TFRC(TCP Friendly Rate Control) that is one of dominant multimedia congestion control algorithms.

• The KIPS Transactions:PartC
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• v.11C no.5
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• pp.659-670
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• 2004

Handoff is one of the most important features for the user's mobility in a wireless cellular communication system. It is related to resource reservation at nearby cells. Resource reservation to the new connection point should occur prior to handoff to enable the user to receive the data or services at the new location, at the same level of service as at the previous location. For the efficient resource reservation, mobility prediction has been reported as an effective means to decrease the call dropping probability and to shorten the handoff latency in a wireless cellular environment. A recently proposed algorithm, ZMHB, makes use of the history of the user's positions within the current cell to predict the next cell. But, the prediction of the ZMHB algorithm is found to be 80∼85% accurate for regular and random movements. In this paper, we propose a new improved ZMHB mobility prediction algorithm, which is called Detailed-ZMHB that uses detailed-zone-based tracking of mo-bile users to predict user movements. The effectiveness of the proposed algorithm is then demonstrated through a simulation.