• The Science & Technology
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• no.10 s.425
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• pp.39-39
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• 2004

• Proceedings of the KTCVS Conference
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• 1993.06a
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• pp.85-85
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• 1993

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.667-669
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• 2005

TCP Vegas나 FAST TCP는 RTT(Round Trip Time) 동안 실제 처리량(actual throughput)이 기대 처리량 (expected throughput)보다 특정 임계값보다 더 작으면 혼잡 상황으로 판단하고 송신측에서 내보내는 데이터 양을 감소시킴으로써 혼잡을 제어한다. 그러나 RTT 기반의 처리량(Throughput) 측정은 송수신 경로가 다를 경우 양방향 경로의 혼잡 상황을 구분하지 않는 문제점을 가지고 있다. 따라서 본 논문에서는 TCP Timestamp를 이용하여 양방향 혼잡 상황을 구분하여 혼잡을 제어하는 메커니즘을 제안한다. 그리고 제안한 방식에 대한 성능 분석을 위해 NS-2의 TCP Vegas를 수정하여 시뮬레이션한 결과를 제시한다.

• Journal of Chest Surgery
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• v.28 no.9
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• pp.829-836
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• 1995

Ninety-one adult patients underwent three different methods of annuloplasty and compared them by the amount of tricuspid regurgitation. Group I [n=17 is Kay method, Group II [n=46 is modified Kay method and Group III [n=28 is De Vega and modified De Vega method. Preoperative and postopeative size of the liver and its function, the cardiothoracic ratio, EKG and echocardiogram were analyzed. The follow up was done for all the patients [mean 20.0$\pm$ 8.5 months . The postoperative size of the liver, the postoperative cardiothoracic ratio and the postoperative systolic pressure of the right ventricle decreased significantly compared to preoperative size, ratio and pressure [p=0.0001, p=0.0001, p=0.0001 . But there were no differences between the groups. The results of annuloplasty revealed that tricuspid regurgitation improved postoperatively [p=0.0001 even though there was no statistically significant differences in relation to the methods of annuloplasty. The right ventricular systolic pressure and the amount of regurgitation decreased significantly during the postoperative period by performing 3 different methods of annuloplasty, although we could not find the differences between the three different methods.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.522-524
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• 1999

This paper addresses the systematic approach to the fuzzy modeling of the class of complex and uncertain nonlinear systems. While the conventional genetic algorithm (GA) only searches the global solution, Virus-Evolutionary Genetic Algorithm(VEGA) can search the global and local optimal solution simultaneously. In the proposed method the parameter and the structure of the fuzzy model are automatically identified at the same time by using VEGA. To show the effectiveness and the feasibility of the proposed method, a numerical example is provided. The performance of the proposed method is compared with that of conventional GA.

• Journal of The Korean Astronomical Society
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• v.47 no.6
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• pp.279-291
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• 2014

I show that the WFIRST microlensing survey will enable detection and precision orbit determination of Kuiper Belt Objects (KBOs) down to $H_{vega}=28.2$ over an effective area of ${\sim}17deg^2$. Typical fractional period errors will be ${\sim}1.5%{\times}10^{0.4(H-28.2)}$ with similar errors in other parameters for roughly 5000 KBOs. Binary companions to detected KBOs can be detected to even fainter limits, $H_{vega}=29$, corresponding to R~30.5 and effective diameters D~7 km. For KBOs H~23, binary companions can be found with separations down to 10 mas. This will provide an unprecedented probe of orbital resonance and KBO mass measurements. More than a thousand stellar occultations by KBOs can be combined to determine the mean size as a function of KBO magnitude down to H~25. Current ground-based microlensing surveys can make a significant start on finding and characterizing KBOs using existing and soon-to-be-acquired data.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.3
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• pp.242-248
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• 2007

In this paper, we implement the internet-based remote control system for intelligent robot. For remote control of the robot, it uses the socket communication of the TCP/IP. It consists of the user interface and the robot control interface. Robot control interface transmits the navigation and environmental informations of the robot into the user interface. In order to transmit the large environmental images, a JPEG compression algorithm is used. User interface displays the navigation status of the robot and transmits the navigation order into the robot control interface. Also, we propose the design method of the fuzzy controller using navigation data acquired by expert's knowledge or experience. To do this, we use virus-evolutionary genetic algorithm(VEGA). Finally, we have shown the proposed system can be operated through the real world experimentations.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.325-327
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• 2007

In this paper, we implement the internet- based remote control system for intelligent robot. For remote control of the robot, it uses the socket communication of the TCP/IP. It consists of- the user interface and the robot control interface. Robot control interface transmits the navigation and environmental informations of the robot into the user interface. In order to transmit the large environmental images, a JPEG compression algorithm is used. User interface displays the navigation status of the robot and transmits the navigation order into the robot control interface. Also, we propose the design method of the fuzzy controller using navigation data acquired by expert's knowledge or experience. To do this, we use virus-evolutionary genetic algorithm(VEGA). Finally, we have shown the proposed system can be operated through the real world experimentations.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.4
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• pp.35-44
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• 2004

Recently announced TCP Vegas predicts the degree of congestion in the network and then control the congestion window size. Thus it shows better performance than TCP Reno. however, TCP vegas does not assume any network model, its congestion window control is very limited. Because or this limitation, TCP vegas still can not adapt to fast changing available bandwidth. In this paper, we introduce a new TCP algorithm which adapts to fast changing available bandwidth well. To devise such a TCP, we model the end to end network of TCP connection as a queueing system and finds congestion window size which can utilize the available bandwidth sufficiently but not make the network congested. The simulation results show that our algorithm adapts to the avaliable bandwidth faster than TCP vegas and as a results, when the available bandwidth is changing rapidly, our algorithm not only operates more stably than TCP Vegas, but also it shows higher thruput than TCP Vegas.

• The KIPS Transactions:PartC
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• v.13C no.3 s.106
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• pp.353-358
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• 2006

Unlike TCP Reno, TCP Vegas recognizes network congestion through the measuring of RTT (Round Trip Time) and decides the main congestion control parameters, such as Windows size. But, congestion avoidance scheme of Vegas poorly reflects asymmetric characteristics of packet path because TCP Vegas uses the measuring of RTT that reflects forward/backward packet transmission delay as a forward delay. The RTT can't infer the forward/backward transmission delay variation because it only measures the packet's turn around time. In this paper, We have designed and implemented a new Vegas congestion control algorithm that can distinguish forward/backward network congestion. We have modified the source codes of TCP Vegas in Linux 2.6 kernel and verified their performance.