• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.133-142
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• 2011

When TCP operates in multi-hop wireless networks, it suffers from severe performance degradation due to the different characteristics of wireless networks and wired networks. This is because TCP reacts to wireless packet losses by unnecessarily decreasing its sending rate assuming the losses as congestion losses. Although several loss differentiation algorithms (LDAs) have been proposed to avoid such performance degradation, their detection accuracies are not high as much as we expect. In addition the schemes have a tendency to sacrifice the detection accuracy of congestion losses while they improve the detection accuracy of wireless losses. In this paper, we suggest a new sender-based loss differentiation scheme which enhances the detection accuracy of wireless losses while minimizing the sacrifice of the detection accuracy of congestion losses. Our scheme estimates the rate of queue usage which is highly correlated with the congestion in the network path between a TCP sender and a receiver, and it distinguishes congestion losses from wireless losses by comparing the estimated queue usage with a certain threshold. In the extensive experiments based on a network simulator, QualNet, we measure and compare each detection accuracy of wireless losses and congestion losses, and evaluate the performance enhancement in each scheme. The results show that our scheme has the highest accuracy among the LDAs and it improves the most highly TCP performance in multi-hop wireless networks.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.2
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• pp.227-231
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• 2010

The TFRC is a congestion control mechanism which supports the requirements of video streaming applications and controls its sending rate by using the information such as loss event rate and RTT (round-trip time). However, TFRC has a performance degradation in wireless networks because it performs congestion control by judging all the losses occurred in wireless network as a congestion signal. In this paper, we propose new loss discrimination mechanism which is using ECN in order to solve the performance degradation of TFRC. Through the results of simulation, we proved that the proposed mechanism can improve the performance of TFRC.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.637-645
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• 2019

The RFID group proof is an extension of the yoking proof proving that multiple tags are scanned by a reader simultaneously. Existing group proof schemes provide only delayed tag loss detection which detects loss of tag response in a verification phase. However, delayed tag loss detection is not suitable for real-time applications where tag loss must be detected immediately. In this study, I propose a tag response loss detection scheme which detects loss of tag response in the proof generation process quickly. In the proposed scheme, the tag responds with the sequence number assigned to the tag group, and the reader detects the loss of the tag response through the sequence number. Through an experiment for indistinguishability, I show that the sequence number is secure against an analyzing message attack to distinguish between specific tags and tag groups. In terms of efficiency, the proposed scheme requires fewer transmissions and database operations than existing techniques to determine which tags response is lost.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.453-455
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• 2012

본 논문에서는 유 무선 이종망의 네트워크에서 혼잡손실과 무선손실의 구별을 하지 못하고 전송률을 감소하는 TFRC의 성능을 개선하기 위한 최소 전송률을 보장하는 TFRC 제어방법을 제안한다. 제안 하는 TFRC기법은 기존의 TFRC 기법의 패킷손실률에 따른 loss event rate를 제한하고 피드백 타임아웃에 따른 전송률 감소를 제한하여 비디오의 최소전송률을 보장하는 방법이다. TCP와 제안하는 TFRC를 같은 네트워크망에서 경쟁하는 환경으로 실험 했을 때 기존의 TFRC와 비교해서 제안한 TFRC의 전송률이 보장되어 더 좋은 성능을 보였다. 무선구간에서의 손실까지도 혼잡손실로 판단하고 전송률을 감소시켜 다중 네트워크에서 대역폭을 보장받지 못하는 TFRC기법을 최소전송률 보장을 통해 비디오 스트리밍 서비스를 제공함으로써 서비스의 품질을 보장한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1494-1497
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• 2011

본 논문에서는 유 무선 이종망의 네트워크에서 혼잡손실과 무선손실의 구별을 하지 못하고 전송률을 감소하는 TFRC의 성능을 개선하기 위한 최소 전송률을 보장하는 TFRC 제어방법을 제안한다. 제안하는 TFRC기법은 기존의 TFRC기법의 패킷손실률에 따른 loss event rate를 제한하고 피드백 타임아웃에 따른 전송률 감소를 제한하여 비디오의 최소전송률을 보장하는 방법이다. TCP와 제안하는 TFRC를 같은 네트워크망에서 경쟁하는 환경으로 실험 했을 때 기존의 TFRC와 비교해서 제안한 TFRC의 전송률이 보장되어 더 좋은 성능을 보였다. 무선구간에서의 손실까지도 혼잡손실로 판단하고 전송률을 감소시켜 다중 네트워크에서 대역폭을 보장받지 못하는 TFRC기법을 최소전송률 보장을 통해 비디오 스트리밍 서비스를 제공함으로써 서비스의 품질을 보장한다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.685-687
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• 1999

인터넷의 발달과 이동단말기 서비스의 확대는 이동단말기를 이용한 인터넷 서비스의 요구를 증대시키고 있다. 이동 환경에서의 인터넷 서비스를 지원하기 위해서는 기존 유선망에서 널리 사용되고 있는 TCP 프로토콜의 개선이 반드시 필요하다. TCP 프로토콜의 개선은 이동단말기의 여러 제약점들을 극복하는 문제에 집중되어 있다. 첫째, 무선링크(wireless line)에서 나타나는 패킷손실의 원인에서 혼잡에 의한 원인과 링크자체의 전송에러(transmission error)에 의한 원인을 구별해 내는 능력을 부가하여야 한다. 둘째로, 이동단말기의 협소한 대역폭으로 인한 TCP 프로토콜의 헤더 압축에 대한 개선이 필요하다. 셋째로, 이동단말기의 위치정보를 실시간으로 관리할 수 있는 기능과 하위계층의 프로토콜과의 상호연동 기능도 추가되어야 할 것이다. 본 논문에서는 이러한 여러 가지 개선 방안들 중에서 무선링크의 사용으로 인한 패킷 손실의 원인을 구별해 내고 그 개별적 원인에 따라 적절하게 제어하는 기법들을 소개하고 비교분석한다.

• Journal of Broadcast Engineering
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• v.23 no.5
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• pp.614-621
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• 2018

This paper proposes a method of restoring corrupted depth image captured by depth camera through unsupervised learning using generative adversarial network (GAN). The proposed method generates restored face depth images using 3D morphable model convolutional neural network (3DMM CNN) with large-scale CelebFaces Attribute (CelebA) and FaceWarehouse dataset for training deep convolutional generative adversarial network (DCGAN). The generator and discriminator equip with Wasserstein distance for loss function by utilizing minimax game. Then the DCGAN restore the loss of captured facial depth images by performing another learning procedure using trained generator and new loss function.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.7
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• pp.1609-1617
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• 2013

TFRC(TCP-Friendly Rate Control) has a performance degradation in wireless networks because it performs congestion control by judging all the losses occurred in wireless networks as a congestion indicator. It is also degraded by the increased Round Trip Time(RTT) due to packet retransmission and contention overhead in the link layer. In this paper, we propose an adaptive rate control scheme based on cross-layer to improve the quality of streaming services in the wireless networks. It provides new RTT estimation and loss discrimination methods to improve transmission rate of TFRC. The simulation results show that the proposed scheme can improve the performance of TFRC.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.3
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• pp.117-124
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• 2013

In this paper we propose a TFRC(TCP Friendly Rate Control) which guarantees a minimum rate in order to improve the efficiency of the previous TFRC which cannot distinguish congestion losses and wireless losses and decreases throughput both in wired and wireless networks. This TFRC technique is able to guarantee a minimum rate for video by restricting a loss event rate with packet loss probability about existing TFRC and constraining a rate reduction from the feedback timeout. When we experimented both the existing TFRC and the new one with TCP in the same network, we found that the latter is better than the former. Consequently, it shows that the proposed TFRC can improve video streaming quality using a guaranteed minimum transmission rate.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.4B
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• pp.202-209
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• 2005

In this paper, a dynamic TCP-friendly rate control (TFRC) is proposed to adjust the coding rates according to the channel characteristics of the wireless-to-wired network consisting of wireless first-hop channel. To avoid the throughput degradation of multimedia flows traveling through wireless lint the proposed rate control system employs a new wireless loss differentiation algorithm (LDA) using packet loss statistics. This method can produce the TCP-friendly rates while sharing the backbone bandwidth with TCP flows over the wireless-to-wired network. Experimental results show that the proposed rate control system can eliminate the effect of wireless losses in flow control of TFRC and substantially reduce the abrupt quality degradation of the video streaming caused by the unreliable wireless link status.