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ON A SELF-SIMILAR MEASURE ON A SELF-SIMILAR CANTOR SET

  • Baek, In-Soo
    • 충청수학회지
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    • 제16권2호
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    • pp.1-10
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    • 2003
  • We compare a self-similar measure on a self-similar Cantor set with a quasi-self-similar measure on a deranged Cantor set. Further we study some properties of a self-similar measure on a self-similar Cantor set.

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SIMPLE APPROACH TO MULTIFRACTAL SPECTRUM OF A SELF-SIMILAR CANTOR SET

  • BAEK, IN-Soo
    • 대한수학회논문집
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    • 제20권4호
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    • pp.695-702
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    • 2005
  • We study the transformed measures with respect to the real parameters of a self-similar measure on a self-similar Can­tor set to give a simple proof for some result of its multifractal spectrum. A transformed measure with respect to a real parameter of a self-similar measure on a self-similar Cantor set is also a self­similar measure on the self-similar Cantor set and it gives a better information for multifractals than the original self-similar measure. A transformed measure with respect to an optimal parameter deter­mines Hausdorff and packing dimensions of a set of the points which has same local dimension for a self-similar measure. We compute the values of the transformed measures with respect to the real parameters for a set of the points which has same local dimension for a self-similar measure. Finally we investigate the magnitude of the local dimensions of a self-similar measure and give some correlation between the local dimensions.

Synthetic Self-Similar 네트워크 Traffic의 세 가지 고정길이 Sequence 생성기에 대한 비교 (A Comparison of Three Fixed-Length Sequence Generators of Synthetic Self-Similar Network Traffic)

  • 정해덕;이종숙
    • 정보처리학회논문지C
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    • 제10C권7호
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    • pp.899-914
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    • 2003
  • 최근의 통신 네트워크에서 teletraffic의 양상은 Poisson 프로세스보다 self-similar프로세스에 의해서 더 잘 반영된다. 이는 통신 네트워크의 teletraffic에 관련하여 self-similar한 성질을 고려하지 않는다면, 통신 네트워크의 성능에 관한 결과는 부정확 할 수밖에 없다는 의미가 된다. 따라서, 통신 네트워크에 관한 시뮬레이션을 수행하기 위한 매우 중요한 요소 중에 하나는 충분히 긴 self-similar한 sequence를 얼마나 잘 생성하느냐의 문제이다. 본 논문에서는 FFT〔20〕, RMD〔12〕 그리고 SRA〔5, 10〕 방법을 이용한 세 개의 pseudo-random self-similar sequence 생성기를 비교 분석하였다. 본 Pseudo-random self-similar sequence 생성기의 성질을 매우 긴 sequence를 생성하는데 요구되는 통계적인 정확도와 생성시간에 대해서 분석하였다. 세 개의 pseudo-random self-similar sequence 생성기의 성능은 Hurst 변수의 상대적인 정확도로 보았을 때는 유사했으나, RMD와 SRA 방법을 이용한 pseudo-random self-similar sequence 생성기가 FFT 방법을 이용한 것보다 속도 면에서는 훨씬 빠른 것으로 나타났다. 또한 본 연구를 통해서 pseudo-random self-similar sequence 생성기의 비교분석을 위한 좀더 좋은 방법이 필요하다는 것을 보여주었다.

ON A QUASI-SELF-SIMILAR MEASURE ON A SELF-SIMILAR SET ON THE WAY TO A PERTURBED CANTOR SET

  • Baek, In-Soo
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제11권1호
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    • pp.51-61
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    • 2004
  • We find an easier formula to compute Hausdorff and packing dimensions of a subset composing a spectral class by local dimension of a self-similar measure on a self-similar Cantor set than that of Olsen. While we cannot apply this formula to computing the dimensions of a subset composing a spectral class by local dimension of a quasi-self-similar measure on a self-similar set on the way to a perturbed Cantor set, we have a set theoretical relationship between some distribution sets. Finally we compare the behaviour of a quasi-self-similar measure on a self-similar Cantor set with that on a self-similar set on the way to a perturbed Cantor set.

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SRA 알고리즘을 이용한 Self-Similar 네트워크 Traffic의 생성 (Algorithmic Generation of Self-Similar Network Traffic Based on SRA)

  • 정해덕;이종숙
    • 정보처리학회논문지C
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    • 제12C권2호
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    • pp.281-288
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    • 2005
  • 최근의 컴퓨터 네트워크에서 teletraffic의 양상은 Poisson 프로세스보다 self-similar 프로세스에 의해서 더 잘 반영된다. 이는 컴퓨터 네트워크의 teletraffic에 관련하여 self-similar한 성질을 고려하지 않는다면, 컴퓨터 네트워크의 성능에 관한 결과는 부정확 할 수밖에 없다는 의미가 된다. 따라서, 통신 네트워크에 관한 시뮬레이션을 수행하기 위한 매우 중요한 요소 중에 하나는 충분히 긴 self-similar한 sequence를 얼마나 잘 생성하느냐의 문제이다. 본 논문에서는 SRA (successive random addition) 방법을 이용한 pseudo-random self-similar sequence 생성기를 구현 및 분석하였다. 본 pseudo-random self-similar sequence 생성기의 성질을 매우 긴 sequence를 생성하는데 요구되는 통계적인 정확도와 생성시간에 대해서 분석하였다. 본 논문에서 제안한 SRA 방법을 이용한 pseudo-random self-similar sequence 생성기의 성능은 Hurst 변수의 상대적인 정확도로 보았을 때, 그리고 sequence의 생성시간을 고려했을 때에 적합함을 보였다. 이 생성기의 이론적 complexity는 n개의 난수를 발생하는데 O(n)이 요구된다.

FGN과 Daubechies Wavelets을 이용한 빠른 Self-Similar 네트워크 Traffic의 생성 (Fast Self-Similar Network Traffic Generation Based on FGN and Daubechies Wavelets)

  • 정해덕;이종숙
    • 정보처리학회논문지C
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    • 제11C권5호
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    • pp.621-632
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    • 2004
  • 최근의 통신 네트워크에서 teletraffic의 양상은 Poisson 프로세스보다 self-similar 프로세스에 의해서 더 잘 반영된다. 이는 통신 네트워크의 teletraffic에 관련하여 self-similar한 성질을 고려하지 않는다면, 통신 네트워크의 성능에 관한 결과는 부정확 할 수밖에 없다는 의미가 된다. 따라서, 통신 네트워크에 관한 시뮬레이션을 수행하기 위한 매우 중요한 요소 중에 하나는 충분히 긴 self-similar한 sequence를 얼마나 잘 생성하느냐의 문제이다. 본 논문에서는 fractional Gaussian noise와 wavelet 변환을 이용한 새로운 pseudo-random self-similar sequence 생성기를 구현 및 분석하였다. 특별히 본 생성기는 다른 wavelet 변환보다 long range dependent한 프로세스들의 self-similar 구조에 잘 맞기 때문에 좀더 정확한 결과를 유도할 수 있는 Daubechies wavelet을 사용하였다. 본 생성기를 이용하여 매우 긴 sequence를 생성하는데 요구되는 통계적인 정확도와 생성시간에 대해서 분석하였으며, 본 논문에서 제안한 생성기의 성능은 Hurst 변수의 상대적인 정확도로 보았을 때, 그리고 sequence의 생성시간을 고려했을 때에 매우 우수함을 보였다. 이 생성기의 이론적 complexity는 n개의 난수를 발생하는데 0(n)이 요구된다.

Extraction of similar XML data based on XML structure and processing unit

  • Park, Jong-Hyun
    • 한국컴퓨터정보학회논문지
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    • 제22권4호
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    • pp.59-65
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    • 2017
  • XML has established itself as the format for data exchange on the internet and the volume of its instance is large scale. Therefore, to extract similar information from XML instance is one of research topics but is insufficient. In this paper, we extract similar information from various kind of XML instances according to the same goal. Also we use only the structure information of XML instance for information extraction because some of XML instance is described without its schema. In order to efficiently extract similar information, we propose a minimum unit of processing and two approaches for finding the unit. The one is a structure-based method which uses only the structure information of XML instance and another is a measure-based method which finds a unit by numerical formula. Our two approaches can be applied to any application that needs the extraction of similar information based on XML data. Also the approach can be used for HTML instance.

Enhancing Similar Business Group Recommendation through Derivative Criteria and Web Crawling

  • Min Jeong LEE;In Seop NA
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권10호
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    • pp.2809-2821
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    • 2023
  • Effective recommendation of similar business groups is a critical factor in obtaining market information for companies. In this study, we propose a novel method for enhancing similar business group recommendation by incorporating derivative criteria and web crawling. We use employment announcements, employment incentives, and corporate vocational training information to derive additional criteria for similar business group selection. Web crawling is employed to collect data related to the derived criteria from 'credit jobs' and 'worknet' sites. We compare the efficiency of different datasets and machine learning methods, including XGBoost, LGBM, Adaboost, Linear Regression, K-NN, and SVM. The proposed model extracts derivatives that reflect the financial and scale characteristics of the company, which are then incorporated into a new set of recommendation criteria. Similar business groups are selected using a Euclidean distance-based model. Our experimental results show that the proposed method improves the accuracy of similar business group recommendation. Overall, this study demonstrates the potential of incorporating derivative criteria and web crawling to enhance similar business group recommendation and obtain market information more efficiently.

유사의료행위에 관한 법적 검토 (Legal Review of Similar Medical Practice)

  • 김한나;김계현
    • 의료법학
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    • 제10권2호
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    • pp.427-453
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    • 2009
  • This study aims to review legal problems of similar medical practice and suggest methods of improvement. Similar medical practice refers to all medical practices conducted in the state that human qualification is not fulfilled. It may cause serious damages on health and lives of national people. Currently, similar medical practices are recognized as unlicensed medical practices and prohibited based on the Medical law and additionally punished by then special law in Korea. However, the current Medical Law does not provide clear and accurate concept of medical practices so that it is difficult to regulate similar medical practices. The issue of complementary and alternative therapy related to similar medical practices is also in special state different from other countries. In addition, since similar medical practices lack of evidences in terms of safety, the dangerousness of accidents is high and it may affect badly on health of national people and health care policies. Methods of improvement in order to resolve problems regarding similar medical practices are: first, concept and scope of medical practice should be clear, accurate and concrete. Second, complementary and alternative therapies related to similar medical practices need to be strictly examined and the supervisory right should be given to doctors should be given even though a part of it is allowed. Third, research institutes specialized in the field should be established for scientific examination of complementary and alternative therapy and objective research results should be open to the public. Finally, since damage cases caused by similar medical practices by non-medical personnel, national management and supervision for similar medical practices should be reinforced.

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데이터 트래픽 Self-Similar 특성에 관한 연구 (Self-Similarity Characteristic in Data traffic)

  • 장우현;오행석
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2000년도 추계종합학술대회
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    • pp.272-277
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    • 2000
  • 본 논문에서는 Self-similar 확률과 정의 및 트래픽외 특성, 그리고 최근 논문들에서 보고된 사례에 대한 동향과 실제의 데이터 트래픽 특성에 대한 분석연구를 통하여 Self-similar 패턴에 대한 연구 결과를 제시하고자 한다.

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