• 정보처리학회논문지C
• /
• 제10C권1호
• /
• pp.39-44
• /
• 2003

혼잡상황이 발생한 후에는 네트웍 성능이 급격하게 떨어지게 되는 문제점을 해결하고자 큐 관리 알고리즘으로 RED(Random Early Detection) 알고리즘이 제시되었으며, 현재 RED 알고리즘이 표준으로 사용되고 있다. RED 알고리즘은 게이트웨이에서 능동적으로 대처할 수 있는 알고리즘이다. 그러나, RED 매개변수 분석을 통하여 고정된 매개변수 값을 사용할 경우, 현재 네트웍 트래픽 상태에 적절히 대처하지 못하는 문제점을 가지고 있다. 본 논문에서는 기존의 RED 알고리즘의 문제점인 고정된 매개변수 값 설정으로 인한 문제점을 해결하기 위하여 개선된 RED 알고리즘을 제안한다. 제안된 알고리즘에서는 현재의 네트웍 트래픽 상태에 따라 패킷 폐기 확률 값을 조성하여 게이트웨이에서의 혼잡 상황을 효율적으로 제어하도록 하였다 그리고, NS를 이용하여 개선된 RED 알고리즘의 성능을 검증하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제6권5호
• /
• pp.1463-1478
• /
• 2012

Based on the theory of local-world network, the composition self-similarity (CSS) of network traffic is presented for the first time in this paper for the study of DoS detection. We propose the concept of composition distribution graph and design the relative operations. The $(R/S)^d$ algorithm is designed for calculating the Hurst parameter. Based on composition distribution graph and Kullback Leibler (KL) divergence, we propose the composition self-similarity anomaly detection (CSSD) method for the detection of DoS attacks. We evaluate the effectiveness of the proposed method. Compared to other entropy based anomaly detection methods, our method is more accurate and with higher sensitivity in the detection of DoS attacks.

• 한국통신학회논문지
• /
• 제25권10B호
• /
• pp.1690-1700
• /
• 2000

TINA-C에서 정의하고 있는 TINA 체계의 핵심 관리 기능인 연결관리 기능은 통신망 연결 서비스 즉, 연결의 설정, 변경, 그리고 해제 가능을 수행한다. 이는 통신망 사용자의 연결 요구를 처리하는 것은 물론이고, 장애관리가 장애 복구를 위하여 대체경로를 설정하거나 성능관리가 망의 부하 분산을 위하여 연결을 재 설정할 때에도 반드시 필요한 기반 관리 가능이다. 이와 갇은 연결관리 기능에는 연결 요구에 가장 적합한 경로를 계산해 내는 경로 설정 기법이 반드시 필요하다. 본 논문은 이와 같은 TINA 연결관리 기능에 필수적인 경로 설정 기법을 제안한다. 또한 제안된 경로 설정 가법의 구현 방안과 구현 결과를 나다내고, 그 성능을 분석한다.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2008년도 춘계학술대회 논문집
• /
• pp.1712-1723
• /
• 2008

In the trackbed design using an elastic multi-layer model, the stress-dependent resilient modulus is the key input parameter, which reflects substructure performance under repeated traffic loading. The prediction models of resilient modulus of crushed stone and weathered granite soil were developed from nonlinear dynamic stiffness, which can be combined by in-situ and laboratory seismic measurements. The models accommodate the variation with the deviatoric and/or bulk stresses. To investigate the performance of the prediction models proposed, the elastic response of the test trackbed near PyeongTaek, Korea was evaluated using a 3-D nonlinear elastic computer program (GEOTRACK) and compared with measured elastic vertical displacement caused by the passages of freight and passenger trains. The material types of the test sub-ballasts are crushed stone and weathered granite soil, respectively. The calculated vertical displacements within the sub-ballasts are within the order of 1mm, and agree well with measured values with the reasonable margin. The prediction models are thus concluded to work properly in the preliminary investigation.

• Journal of Communications and Networks
• /
• 제15권4호
• /
• pp.370-382
• /
• 2013

Distributed massive MIMO systems, which have high bandwidth efficiency and can accommodate a tremendous amount of traffic using algorithms such as zero-forcing beam forming (ZFBF), may be deployed in large public venues with the antennas mounted under-floor. In this case the channel gain matrix H can be modeled as a multi-banded matrix, in which off-diagonal entries decay both exponentially due to heavy human penetration loss and polynomially due to free space propagation loss. To enable practical implementation of such systems, we present a multi-banded matrix inversion algorithm that substantially reduces the complexity of ZFBF by keeping the most significant entries in H and the precoding matrix W. We introduce a parameter p to control the sparsity of H and W and thus achieve the tradeoff between the computational complexity and the system throughput. The proposed algorithm includes dense and sparse precoding versions, providing quadratic and linear complexity, respectively, relative to the number of antennas. We present analysis and numerical evaluations to show that the signal-to-interference ratio (SIR) increases linearly with p in dense precoding. In sparse precoding, we demonstrate the necessity of using directional antennas by both analysis and simulations. When the directional antenna gain increases, the resulting SIR increment in sparse precoding increases linearly with p, while the SIR of dense precoding is much less sensitive to changes in p.

• 한국통신학회논문지
• /
• 제38C권9호
• /
• pp.740-745
• /
• 2013

본 논문은 다양한 통신 방식이 사용될 수 있는 M2M 환경에서 동일한 주파수 대역을 사용하는 통신 방식인 IEEE 802.15.4g와 IEEE 802.11 방식의 각 PHY Mode를 AWGN 채널 하에서 시뮬레이션을 통해 BER과 FER 성능을 비교한다. 이를 통하여 요구되는 파라미터에 적합한 통신 방식에 대해 고찰한다. IEEE802.15.4g의 경우, 구현의 복잡도와 낮은 가격을 위하여 FSK를 사용하고, 높은 성능이 요구될 경우 OFDM 방식을 사용하는 것이 적절하다. IEEE 802.11의 경우, 시스템의 트래픽 특성이 다양하고 높은 전송률이 요구될 때, 트래픽 특성에 맞는 OFDM PHY mode를 사용하는 것이 적절하다.

• 대한의용생체공학회:의공학회지
• /
• 제18권3호
• /
• pp.315-323
• /
• 1997

Driving is a complex vigilance task that includes improper lookout, excessive speed and inattention. The primary objective of this research is to detect driver drowsiness so that the driver can be alerted to an impending traffic accident in performance. We developed the automatic detection and warning system during drowsy driving. A drowsiness detection system must be able to monitor driver status and detect the detrimental changes of a driver performance. Eyeblink has been found to be a reliable factor of drowsiness detection in earlier studies. As an additional parameter, we also considered the yawning which often occurs in a low vigilance state and predicts the drowsy state. We used a computer vision method to extract the eyeblink and yawning in the face image sequences. When the drowsy state was detected, the driver was refreshed by alarming device and menthol scent generator after deciding the warning level by fuzzy logic. For the evaluation of our system, we measured the physiological parameters such as EOG and EEG. The results indicated that it is possible to detect and alert the driver drowsiness temporarily or continuously by using our system.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2005년도 춘계종합학술대회
• /
• pp.578-582
• /
• 2005

본 논문에서는 Wireless Local Area Network (WLAN)에서 트래픽의 특성 및 네트워크 상태에 따른 Quality of Service (QoS)를 제공하기 위해 제안된 Medium Access Control (MAC) 알고리즘을 분석한다. 제안한 알고리즘은 네트워크 상태를 나타내는 ACK Ratio (AR)를 사용하여 Backoff 알고리즘에 적용할 뿐 아니라, Inter Frame Space (IFS)를 적응적으로 변화시킴으로서 매체 이용률을 높여주어, Throughput을 향상시키고 최소한의 Fairness를 제공한다. 또한, Network Simulator-2(NS-2)를 사용하여 기존의 MAC 알고리즘과 제안하는 MAC 알고리즘의 성능을 분석한다.

• Journal of Power Electronics
• /
• 제16권1호
• /
• pp.238-248
• /
• 2016

The state-of-charge (SOC) and state-of-health (SOH) estimation of batteries play important roles in managing batteries for automotive applications. However, an accurate state estimation of a battery is difficult to achieve because of certain factors, such as measurement noise, highly nonlinear characteristics, strong hysteresis phenomenon, and diffusion effect of batteries. In certain vehicular applications, such as idle stop-start systems (ISSs), significant errors in SOC/SOH estimation may lead to a failure in restarting a combustion engine after the shut-off period of the engine when the vehicle is at rest, such as at a traffic light. In this paper, a dual extended Kalman filter algorithm with a dynamic equivalent circuit model of a lead-acid battery is proposed to deal with this problem. The proposed algorithm adopts a battery model by taking into account the hysteresis phenomenon, diffusion effect, and parameter variations for accurate state estimations of the battery. The validity of the proposed algorithm is verified through experiments by using an absorbed glass mat valve-regulated lead-acid battery and a battery sensor cable for commercial ISS vehicles.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권6호
• /
• pp.2128-2147
• /
• 2021

Cognitive radio systems are being implemented recently to tackle spectrum underutilization problems and aid efficient data traffic. Spectrum sensing is the crucial step in cognitive applications in which cognitive user detects the presence of primary user (PU) in a particular channel thereby switching to another channel for continuous transmission. In cognitive radio systems, the capacity to precisely identify the primary user's signal is essential to secondary user so as to use idle licensed spectrum. Based on the inherent capability, a new spectrum sensing technique is proposed in this paper to identify all types of primary user signals in a cognitive radio condition. Hence, a spectrum sensing algorithm using improved convolutional neural network and long short-term memory (CNN-LSTM) is presented. The principle used in our approach is simulated annealing that discovers reasonable number of neurons for each layer of a completely associated deep neural network to tackle the streamlining issue. The probability of detection is considered as the determining parameter to find the efficiency of the proposed algorithm. Experiments are carried under different signal to noise ratio to indicate better performance of the proposed algorithm. The PU signal will have an associated modulation format and hence identifying the presence of a modulation format itself establishes the presence of PU signal.