• Journal of Korea Society of Industrial Information Systems
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• v.20 no.2
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• pp.65-72
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• 2015

An anti-virus is a widely used solution for detecting malicious software in client devices. In particular, signature-based anti-viruses detect malicious software by comparing a file with a signature of a malicious software. Recently, the number of malicious software dramatically increases and hence it results in a performance degradation issue: detection time of signature-based anti-virus increases and throughput decreases. In this paper, we summarize the research results of signature-based anti-viruses which are focusing on solutions overcoming of performance limitations, and propose a new solution. In particular, comparing our solution to SplitScreen which has been known with the best performance, our solution reduces client-side workload and decreases communication cost.

• The Journal of the Korea Contents Association
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• v.4 no.4
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• pp.153-161
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• 2004

An efficient mobility management for mobile stations plays an important role in mobile communication networks. In this paper, we intend to improve the performance of the movement-based location update scheme which is simple to implement and shows good performance. The basic idea used in the proposed location update scheme is to avoid the location update if the mobile subscriber moves around the cell where the last location update was performed. This Is made possible by utilizing the simple movement history information. The performance of the proposed scheme is evaluated and compared with the movement-based location update scheme through simulation. The simulation results show that the proposed location update scheme provides the better performance compared with the movement-based location update scheme by minimizing the unnecessary location updates.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.2B
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• pp.203-209
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• 2004

In OBS networks, the burst dropping due to contention significantly affects the performance of TCP, but existing drop policies have not considered this problem and researches related to TCP have been mainly studied on burst assembling. We propose the drop policy considering retransmission of TCP to improve the performance of TCP in OBS networks. The proposed drop policy is the Retransmission Count-based DP that regards retransmission count of bursts as priority when it selects dropping burst. This paper evaluates the performance of RC-based DP model and general DP model using ns-2. The metrics of performance evaluation are TCP throughput, maximum sequence number of received TCP packets and drop rate of packet as simulation time increases.

• Wind and Structures
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• v.31 no.2
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• pp.165-183
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• 2020

The first step of performance-based design for transmission lines is the determination of wind fields as well as wind loads, which are largely depending on local wind climate and the surrounding terrain. Wind fields in a mountainous area are very different with that in a flat terrain. This paper firstly investigated both mean and fluctuating wind characteristics of a typical mountainous wind field by wind tunnel tests and computational fluid dynamics (CFD). The speedup effects of mean wind and specific turbulence properties, i.e., turbulence intensity, power spectral density (PSD) and coherence function, are highlighted. Then a hybrid simulation framework for generating three dimensional (3D) wind velocity field in the mountainous area was proposed by combining the CFD and proper orthogonal decomposition (POD) method given the properties of the target turbulence field. Finally, a practical 220 kV transmission line was employed to demonstrate the effectiveness of the proposed wind field generation framework and its role in the performance-based design. It was found that the terrain-induce turbulence effects dominate the performance-based structural design of transmission lines running through the mountainous area.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.3
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• pp.249-254
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• 2005

In this paper, we analysis the recognition performance of PCA/LDA by distance measures. We are adapt to ORL face database with the fourteen distance measures. In case of PCA, it has high performance for the manhattan distance and the weighted SSE distance to face recognition, In case of PCA/LDA, it has high performance for the angle-based distance and the modified SSE distance. Also, PCA/LDA is better than PCA for reduction of dimension. Therefore, the PCA/LDA method and the angle-based distance have the most performance and a few dimension for face recognition with ORL face database.

• Journal of Labour Economics
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• v.34 no.2
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• pp.29-52
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• 2011

Using occupational wage structure survey(1996-2006) by Korean ministry of employment and labor, we explored the effect of performance based pay on the pay dispersion within firm. Pay dispersion is defined as the within-firm variance of wage residuals after controlling the individual characteristics in the labor market. The results show that introduction of performance-based pay system increases the level of pay dispersion significantly. However, The relationship of employees' ratio who receive performance-based pay and the level of pay dispersion is an inverted U-shaped($\bigcap$).

• Journal of IKEEE
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• v.20 no.1
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• pp.75-81
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• 2016

This paper proposes a design of the tile based on graphic pipeline to improve the graphic application performance in SIMT based GP-GPU. The proposed Tile based on graphics pipeline avoids unnecessary graphic processing operation, and processes the rasterization step in parallel. The massive data processing in parallel through SIMT architecture improve the computational performance, thereby improving the 3D graphic pipeline performance. The more vertex data of 3D model, the higher performance. The proposed structure was confirmed to improve processing performance of up to 3 times from about 1.18 times as compared to 'RAMP' and previous studies.

• MALSORI
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• no.54
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• pp.27-43
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• 2005

Existing standard speech coders can provide speech communication of high quality while they degrade the performance of speech recognition systems that use the reconstructed speech by the coders. The main cause of the degradation is that the spectral envelope parameters in speech coding are optimized to speech quality rather than to the performance of speech recognition. For example, mel-frequency cepstral coefficient (MFCC) is generally known to provide better speech recognition performance than linear prediction coefficient (LPC) that is a typical parameter set in speech coding. In this paper, we propose a speech coder using MFCC instead of LPC to improve the performance of a server-based speech recognition system in network environments. However, the main drawback of using MFCC is to develop the efficient MFCC quantization with a low-bit rate. First, we explore the interframe correlation of MFCCs, which results in the predictive quantization of MFCC. Second, a safety-net scheme is proposed to make the MFCC-based speech coder robust to channel error. As a result, we propose a 8.7 kbps MFCC-based CELP coder. It is shown from a PESQ test that the proposed speech coder has a comparable speech quality to 8 kbps G.729 while it is shown that the performance of speech recognition using the proposed speech coder is better than that using G.729.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.129-143
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• 2021

This paper proposes actuator fault detection and adaptive fault-tolerant control algorithms using performance index and human-like learning for longitudinal autonomous vehicles. Conventional longitudinal controller for autonomous driving consists of supervisory, upper level and lower level controllers. In this paper, feedback control law and PID control algorithm have been used for upper level and lower level controllers, respectively. For actuator fault-tolerant control, adaptive rule has been designed using the gradient descent method with estimated coefficients. In order to adjust the control parameter used for determination of adaptation gain, human-like learning algorithm has been designed based on perceptron learning method using control errors and control parameter. It is designed that the learning algorithm determines current control parameter by saving it in memory and updating based on the cost function-based gradient descent method. Based on the updated control parameter, the longitudinal acceleration has been computed adaptively using feedback law for actuator fault-tolerant control. The finite window-based performance index has been designed for detection and evaluation of actuator performance degradation using control error.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.53-58
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• 2019

In this paper, we propose a new definition for the Private interface communication protocol structures order to improve the performance of LDAP-based Ud interface. Performance tests were separated by LDAP-based interface method and Private based interface method and analyzed the results of the performance test. As a result, it was confirmed the amount of processing of the received message and the response message to the result of the performance test that the Private based Ud interface method is 1.7 times(avg.) higher than the LDAP based Ud interface method.