• Proceedings of the IEEK Conference
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• 2003.07a
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• pp.469-472
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• 2003

음성 중심의 기존 2G CDMA/PCS의 성능 및 용량을 분석하기 위한 트래픽 모델링에서는 시간당 평균 호 발생률, 발생 간격의 분포, 호 유지시간(Holding Time), 그리고 최번시(Busy Hour)를 결정하는 것이 주요 과제였으며, 이를 이용한 트래픽 엔지니어링은 음성호의 Blocking 확률과 지연시간을 최소화 하기위한 충분한 호 자원 확보에 중심을 두었던 것이 사실이다. 그러나 CDMA2000 1X 및 1xEV-DO/DV와 같은 3G 고속 데이터 이동통신 시스템에서의 패킷 데이터 트래픽의 특성은 자기 유사성(Self-similarity)이라는 성질을 가진다는 것은 잘 알려진 사실이다. 이와같은 고속 데이터 이동통신 시스템에서 요구되는 효율적인 망의 설계 및 디멘져닝을 위해서는 무엇보다도 데이터 트래픽의 주요 특성인 버스트함과 자기유사성이 반영된 모델 분석이 요구된다. 이러한 관점에서 본 논문에서는 데이터 트래픽의 자기유사성 및 큐잉 지연을 고려한 유효대역폭 산출식을 유도하여 시뮬레이션 결과와 비교 분석하였다.

• Proceedings of the KAIS Fall Conference
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• 2006.11a
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• pp.180-185
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• 2006

자기 유사성(self-similarity)은 다양한 네트워크 환경에서 공통적으로 발생하는 현상인 것으로 정체 제어에서 자기 유사성 트래픽의 장거리 상관 구조를 활용할 가능성과 MTS(Multiple Time Scale) 정체 제어의 프레임워크를 발전시켜, 이 프레임워크가 전송 율 기반 피드백 제어의 성능을 향상시키는 데 시뮬레이션을 통해 트래픽 조건으로 다음과 같이 연구한다. 자기유사성 트래픽 조건에서 3가지 단계로 구성한다. 먼저 TCP의 모듈 형 확장에서 Tahoe, Reno, Vegas등 다양한 버전의 TCP에 적용되는 간단한 인터페이스를 통한 함수 호출을 정의하고, 이것이 성능을 크게 향상시는 것을 입증한다. 두 번째로, 광대역 WAN에서 지연-대역폭의 곱이 높을 경우 더욱 심각해지는 사후 제어의 불확실성 차이를 해소함으로써 MTS TCP가 기반 피드백 제어에 사전성을 부여한다는 것을 입증한다. 세번째는 트래픽 제어의 3가지 차원인, 즉 추적 능력, 연결 지속 기간, 공정성이 성능에 미치는 영향 등을 비교 분석하여 입증한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.344-355
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• 2008

In this paper, we are dealing with the problems of performance evaluation of Differentiated Services(DiffServ) networks. For successful performance evaluation, the ability to accurately represent "real" traffic on the network by suitable traffic models is an essential ingredient. Many research results on the nature of real traffic measurements demonstrated LRD(long-range dependence) property for the Internet traffic including Web, TELNET, and P2P traffic. The LRD can be effectively represented by self-similarity. In this paper, we design and implement self-similar traffic generator using the aggregated On/Off source model, based on the analysis of the On-Off source model, FFT-FGN(Fast Fourier Transform-Fractional Gaussian Noise) model, and RMD(Random Midpoint Displacement) model. We confirmed the self-similarity of our generated traffic by checking the packet inter-arrival time of TCPdump data. Further we applied the implemented traffic generator to the performance evaluation of DiffServ networks and observed the effect of performance to the a value of the On/Off model, and performance of EF/BE class traffic by CBQ.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.507-512
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• 2001

Feature-based similarity has become an important research issue in multimedia database systems. The features of multimedia data are useful for discriminating between multimedia objects. the performance of conventional multidimensional data structures tends to deteriorate as the number of dimensions of feature vectors increase. The $R^{*}-Tree$ is the most successful variant of the R-Tree. In this paper, we propose a SOM-based $R^{*}-Tree$ as a new indexing method for high-dimensional feature vectors. The SOM-based $R^{*}-Tree$ combines SOM and $R^{*}-Tree$ to achieve search performance more scalable to high-dimensionalties. Self-Organizingf Maps (SOMs) provide mapping from high-dimensional feature vectors onto a two-dimensional space. The map is called a topological feature map, and preserves the mutual relationships (similarity) in the feature spaces of input data, clustering mutually similar feature vectors in neighboring nodes. Each node of the topological feature map holds a codebook vector. We experimentally compare the retrieval time cost of a SOM-based $R^{*}-Tree$ with of an SOM and $R^{*}-Tree$ using color feature vectors extracted from 40,000 images. The results show that the SOM-based $R^{*}-Tree$ outperform both the SOM and $R^{*}-Tree$ due to reduction of the number of nodes to build $R^{*}-Tree$ and retrieval time cost.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.6B
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• pp.575-583
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• 2004

In this paper, we extend the multiple time scale control framework to the window-based congestion control, in particular, such as the TCP. This is performed by interfacing the TCP with a large time scale control module which adjusts the aggressiveness of the bandwidth consumption behavior exhibited by the TCP as a function of large time scale Self-Similar network state. i.e., conformation that exceeds the horizon of the feedback loop as determined by the RTT. How to effectively utilize such an information-due to its probabilistic nature, dispersion over the multiple time scales, and affection on the top of the existing window-based congestion controls-is a non-trivial problem. The evaluation performance of the multiple time scale TCP is facilitated by a simulation of the bench-mark environment which is based on the physical modeling of a self-similar traffic. We explicate our methodology for discerning and evaluating the impact of changes in transport protocols in the protocol stack under the self-similar traffic conditions. We discuss issues arising in the comparative performance evaluation under heavy-tailed workloads.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.2
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• pp.295-303
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• 2004

In this Paper, we discuss an active TCP link of unsynchronized transmission mode network in two-way traffic and the Improvement of its traffic patron thorough the network pathway of protocol is shown. This is because the traffic pattern is performed on the basis of existing windows which are distributing information in several periods of time in the way of interfacing LTS control module, which is controlling by an information of exceeding the time limit of feedback loop determined by RTP, with TCP. The simulation to utilize this efficiently is performed with the circumstance of bench mark based on physical modeling of the self-similarity traffic in the performance of TCP. In this paper, we use a methodology to understand and evaluate the effect of change of transmitting protocol in sticks under the condition of the self-similar traffic in two-way network and it is shown that an improvement of congestion control by self-similarity under a heavy condition.

• The KIPS Transactions:PartC
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• v.14C no.3 s.113
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• pp.199-208
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• 2007

In a ubiquitous network environment, detecting the leakage of personal information is very important. The leakage of personal information might cause severe problem such as impersonation, cyber criminal and personal privacy violation. In this paper, we have proposed a detection method of personal information leakage based on network traffic characteristics. The experimental results indicate that the traffic character of a real campus network shows the self-similarity and Proposed method can detect the anomaly of leakage of personal information by malicious code.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.3
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• pp.416-420
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• 2002

Traditional queueing analyses are very useful for designing a network's capacity and predicting there performances, however most of the predicted results from the queueing analyses are quite different from the realistic measured performance. And recent empirical studies on LAN, WAN and VBR traffic characteristics have indicated that the models used in the traditional Poisson assumption can't properly predict the real traffic properties due to under estimation of the long range dependence of network traffic and self-similarity In this parer self-similar characteristics over statistical approaches and real time network traffic measurements are estimated It is also shown that the self- similar traffic reflects network traffic characteristics by comparing source model.

• Proceedings of the KOSOMBE Conference
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• v.1994 no.05
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• pp.43-48
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• 1994

본 논문은 반복 수축 변환의 프랙탈(fractal) 이론에 근거한 심전도 데이터 압축에 관한 연구이다. 심전도 데이터에 반복 함수계(Iterated Function System : IFS) 모델을 적용하여 신호 자체의 자기 유사성(self-similarity)을 반복 수축 변환으로 표현하고, 그 매개변수만을 저장한다. 재구성시는 변환 매개변수를 반복 적용하여 원래의 신호에 근사되어지는 값을 얻게 된다. 심전도 데이타는 부분적으로 자기 유사성을 갖는다고 보고, 부분 자기-유사 프랙탈 모델(piecewise self-affine fractal model)로 표현될 수 있다. 이 모델은 신호를 특정 구간들로 나누어 각 구간들에 대해 최적 프랙탈 보간(fractal interpolation)을 구하고 그 중 오차가 가장 작은 매개변수만을 추출하여 저장한다. 이 방법을 심전도 데이타에 적용한 결과 특정 압축율에 대해 아주 적은 재생오차 (percent root-mean-square difference : PRD)를 얻을 수 있었다.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.11-16
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• 2024

Recently, the health-pleasure trend, which means enjoying health care through exercise or diet and certifying it on SNS is spreading to the MZ generation. This study examined the effect of personality traits on SNS upload behavior and subjective well-being related to health care. As a result, 1) parallel comparison and narcissism had a positive effect on the SNS upload attitude and intention, and the downward comparison had a negative effect on both SNS upload variable. Self-esteem had a positive effect only on the attitude of uploading SNS. Next, 2) self-esteem had a positive effect on both subjective well-being, while narcissism had a negative effect on stress, and parallel comparisons had a positive effect on life satisfaction. In other words, it was confirmed that comparisons with similar people had a positive effect on SNS upload behavior and their subjective well-being, while health care for self-show or recognition of others had a negative effect on their subjective well-being. The results of this study should be actively reflected not only for the marketing market but also for a media and cultural environment in which the MZ generation can lead a healthy life.