• Title/Summary/Keyword: 진화기법

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A Study on the Countermeasure of Cyber Attacks Using Anonymous Network (익명네트워크를 이용한 사이버공격에 대한 대응방안 연구)

  • Lee, Jung-Hyun;Ahn, Kwan-Joon;Park, Won-Hyung;Lim, Jong-In
    • Convergence Security Journal
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    • v.11 no.3
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    • pp.31-37
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    • 2011
  • Recently on tile network to ensure the anonymity of Mixed networking has been actively researched. It uses encrypted communications between Nodes and communications path is changed often to the attacker traceback and response, including the difficult thing is the reality. National institutions and infrastructure in these circumstances, the attack on the national level, if done on a large scale can be disastrous in. However, an anonymous network technology to cover up their own internet communication, it malicious form of Internet use by people who enjoy being continually updated and new forms of technology being developed is a situation continuously. In addition, attacks in the future application of these technologies is expected to continue to emerge. However, this reality does not deserve this thesis is prepared. In this paper, anonymously using a network to respond effectively to a cyber attack on the early detection research is to proceed.

An Efficient Dynamic Prediction Clustering Algorithm Using Skyline Queries in Sensor Network Environment (센서 네트워크 환경에서 스카이라인 질의를 이용한 효율적인 동적 예측 클러스터링 기법)

  • Cho, Young-Bok;Choi, Jae-Min;Lee, Sang-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.7
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    • pp.139-148
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    • 2008
  • The sensor network is applied from the field which is various. The sensor network nodes are exchanged with mobile environment and they construct they select cluster and cluster headers. In this paper, we propose the Dynamic Prediction Clustering Algorithm use to Skyline queries attributes in direction, angel and hop. This algorithm constructs cluster in base mobile sensor node after select cluster header. Propose algorithm is based made cluster header for mobile sensor node. It "Adv" reduced the waste of energy which mobile sensor node is unnecessary. Respects clustering where is efficient according to hop count of sensor node made dynamic cluster. To extend a network life time of 2.4 times to decrease average energy consuming of sensor node. Also maintains dynamic cluster to optimize the within hop count cluster, the average energy specific consumption of node decreased 14%.

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Impulse Noise Filtering through Evolutionary Approach using Noise-free Pixels (무잡음 화소를 이용한 진화적인 방법의 임펄스 잡음 필터링)

  • Mahmood, Muhammad Tariq;Choi, Young Kyu
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.5
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    • pp.347-352
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    • 2013
  • In impulse noise filtering techniques window size play an important role. Usually, an appropriate window is determined according to the noise density. A small window may not be able to suppress noise properly whereas a large window may remove edges and fine image details. Moreover, the value of the central pixel is estimated by considering all pixels within the window. In this work, contrary to the previous approaches, we propose an iterative impulse noise removal scheme that emphasizes on noise-free pixels within a small neighborhood. The iterative process continues until all noisy pixels are replaced with the estimated pixels. In order to estimate the optimal value for a noisy pixel, a genetic programming (GP) based estimator is evolved that takes few noise-free pixels as input. The estimator is constituent of noise-free pixels, arithmetic operators and random constants. Experimental results show that theproposed scheme is capable of removing impulse noise effectively while preserving the fine image details. Especially, our approach has shown effectiveness against high impulse noise density.

Introduction To A New Created Scientific Disciline: Management Of allSelves' Enlightenment and Empowerment(MOSEE) with 5th Dimension Spirit Paradigm shift will conciliate the modern Management Philosophies (1st Issue)-CSV (새 학문 창시 소개함: 깨달음경영학의 5차원 의식(영성) 철학을 통한 현대 경영철학들의 통섭 고찰(1회)-공유가치론(CSV)-)

  • Rhee, Jaeyoon
    • Proceedings of the Korea Contents Association Conference
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    • 2018.05a
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    • pp.57-58
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    • 2018
  • 자본주의가 인류사회의 행복과 공동번영에 기여하는 경제체제로서 역할을 다하려면, 자본주의 역시 시대의 변화에 맞추어 진화해야 한다. 본 논문에서는 새 시대에 걸 맞는 자본주의의 대안을 논의하고자, 저자 이재윤이 창시한 깨달음경영학(MOSEE; Management Of allSelves' Enlightenment and Empowerment)의 새로운 과학적 학문연구를 통해 새로운 실현성 영역을 추구하는 동시에, 깨달음경영의 새로운 5차원 요소인 영적 자원 및 자산(SRA: Spirit Resource and Asset)과 본질적으로 무(無)에서 유(有)를 창조하는 창조경영(MOC: Management Of Creation)에 대한 연구 및 인간의식 성장 방법론에 대하여 발표 하고자 한다. 따라서 깨달음경영학(MOSEE)에 관한 고유한 철학, 고유한 탐구 영역, 이론, 방법, 기법, 도구, 운영 원리 및 활용 분야 등을 체계적으로 설명하는 것이 목적이다. 이로써 현대의 주요한 여러 경영철학들 예컨대 CSV(마이클 포터) SI(개리 함멜) 복잡계 철학 미덕(美德)경영 등의 내재된 구조적 제약들을 분석 평가하고 한계를 극복하는 방안들을 제시함으로써 이들을 5차원의 깨달음경영학(MOSEE)의 의식(영성)경영철학으로써 통섭을 고찰하고 21세기 우주 인류 신문명 창달을 위한 5차원의 깨달음경영 혁명을 성취하고자 한다. 즉 2040년 전에 지구 인류의 고도 영성 초 과학기술 문명을 넘어서 우주 인류의 초 영성 초 과학기술 문명 창달을 선도하는 학문연구 교육 인류 사회활동을 지속적으로 해갈 것이다. 위와 같이 21세기 우주 인류의 영원한 평화 자유 지속적 번영을 이루고자 한다. 본 연구는 통섭 고찰 제1회로 마이클 포토의 공유가치(CSV: Creating Shared Value)의 통섭을 고찰한다.

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Signal Sequence Prediction Based on Hydrophobicity and Substitution Matrix (소수성과 치환행렬에 기반한 신호서열 예측)

  • Chi, Sang-Mun
    • Journal of KIISE:Software and Applications
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    • v.34 no.7
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    • pp.595-602
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    • 2007
  • This paper proposes a method that discriminates signal peptide and predicts the cleavage site of the secretory proteins cleaved by the signal peptidase I. The preprocessing stage uses hydrophobicity scales of amino acids in order to predict the presence of signal sequence and the cleavage site. The preprocessing enhances the performance of the prediction method by eliminating the non-secretory proteins in the early stage of prediction. for the effective use of support vector machine for the signal sequence prediction, the biologically relevant distance between the amino acid sequences is defined by using the hydrophobicity and substitution matrix; the hydrophobicity can be used to Predict the location of amino acid in a cell and the substitution matrix represents the evolutionary relationships of amino acids. The proposed method showed 98.9% discrimination rates from signal sequences and 88% correct rate of the cleavage site prediction on Swiss-Prot release 50 protein database using the 5-fold-cross-validation. In the comparison tests, the proposed method has performed significantly better than other prediction methods.

Storage Rate Estimation of Irrigation Reservoir by Long term Rainfall-Runoff Modeling (장기유출모의를 통한 농업용저수지 저수율 예측)

  • Park, Jong-Pyo;Jeong, Soon-Chan;Yu, Chang-Hwan;Won, Chang-Yeon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.321-326
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    • 2012
  • 장기유출모형을 이용하여 농업용저수지 유입량을 예측하고 농업용수 필요수량 및 홍수기 저수지 홍수조절을 통한 방류량 데이터를 이용하여 장기간에 대한 농업용저수지 저수율을 계산하였다. 계산결과와 실측 저수율 데이터의 비교 검증을 통하여 모형의 적용성을 평가하였다. 대상유역은 담양댐 지점이며 유역면적은 $47.2km^2$ 이며 주 하천 연장은 12.0km 이다. 담양댐은 저수용량에 비하여 유역면적이 작기 때문에 댐 계획 당시 순창군 구림면에 유역면적 $18.4km^2$ 인 2개의 보를 축조하여 유역변경방식으로 간접유역 유출량을 비관개기 및 홍수시에 도수하며 최대 도수량은 $10m^3/s$이다. 장기유출모의는 한국수자원공사(2001)에서 수행한 전역최적화기법인 콤플렉스 혼합진화기법을 통하여 추정된 나주지점의 모형보정 성과를 활용하였으며 모의기간은 1981-2010년(30년)이다. 장기유출모의 결과 담양댐 유역의 평균 유출율은 67% 인 것으로 분석되었다. 농업용수 필요수량은 한국농촌공사에서 산정한 연도별 필요수량 산정결과를 이용하여 실측 농업용수 월별 방류량 자료를 기준으로 관개개간인 4월 21일-9월 20일(163일)동안 월별로 분배하여 적용하였다. 홍수조절은 기존 댐 상시만수위, 홍수기제한수위 데이터를 근거로 운영하였다. 일별저수지 운영모형은 미공병단의 HEC-5 모형을 이용하였으며 한국농어촌공사 농촌용수종합 정보시스템(RAMIS)의 댐 일별 저수율 현황과 기존저수지 일별 저수지 모의운영결과를 비교 검증하였다. 모형수행결과 실측저수율과 모형수행결과의 상관계수는 0.93 인 것으로 분석되었다. 연구결과, 장기유출모의 결과와 연계하여 농업용수, 하천유지용수, 홍수조절을 고려한 저수지 운영을 통하여 비교적 정확하게 농업용저수지 저수율을 예측할 수 있을 것으로 판단된다. 본 연구성과를 바탕으로 농업용저수지의 장기적인 용수수급현황을 예측하여 효율적인 용수공급계획을 수립할 수 있을 것으로 기대된다.

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A Performance Improvement of Automatic Butterfly Identification Method Using Color Intensity Entropy (영상의 색체 강도 엔트로피를 이용한 나비 종 자동 인식 향상 방법)

  • Kang, Seung-Ho;Kim, Tae-Hee
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.624-632
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    • 2017
  • Automatic butterfly identification using images is one of the interesting research fields because it helps the related researchers studying species diversity and evolutionary and development process a lot in this field. The performance of the butterfly species identification system is dependent heavily on the quality of selected features. In this paper, we propose color intensity (CI) entropy by using the distribution of color intensities in a butterfly image. We show color intensity entropy can increase the recognition rate by 10% if it is used together with previously suggested branch length similarity entropy. In addition, the performance comparison with other features such as Eigenface, 2D Fourier transform, and 2D wavelet transform is conducted against several well known machine learning methods.

Android-Based Open Platform Intelligent Vehicle Services Middleware Application (안드로이드 기반의 지능형자동차 미들웨어 오픈플랫폼 서비스 응용)

  • Choi, Byung-Kwan
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.8
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    • pp.33-41
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    • 2013
  • Intelligent automobile technology and IT convergence, the development of new imaging technology media applications based on open source Android installed on tracked, wheeled smart phone application technology and the development of intelligent vehicles as a new paradigm a lot of research and development being made. Android-based intelligent automotive applications, technology, and evolved into the center of a set of various multimedia technologies move beyond the limits of the means of each of multimedia platforms, services and applications that have been developed in such a distributed environment, has been developed according to a variety of services through technology mobile terminal device technology is an absolute requirement. In this paper, SVC Codec, real-time video and graphics processing and SoC design intelligent vehicles middleware applications with monolithic system specification through Android-based design of intelligent vehicles dedicated middleware research experiments on open platforms, and provides various terminal services functions SoC based on a newly designed and standardized interface analysis techniques in this study were verified through experiments.

Removing Long Parameter List Using Semantic Matrix (메소드의 매개변수 리스트의 간소화를 위한 리팩토링 방안)

  • Ham, Dong Hwa;Lee, Jun Ha;Park, Soo Jin;Park, Soo Young
    • Journal of Software Engineering Society
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    • v.26 no.4
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    • pp.93-103
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    • 2013
  • Complexity and maintenance cost of software increase as much as software has been evolved, therefore importance of software maintenance recently arise. There are many signs that are difficulties to maintain software, called bad smell, in a large-scale software. The bad smell should be removed to improve maintainability. Recently, many software refactoring methods have researched to terminate the bad smell. In this paper, we propose how to identify long parameter list, which causes bad smell, and how to solve the problem for increasing software maintainability. In our approach, we classify the parameters for creating new objects by measuring semantic similarity among them. This is evaluated by experienced software developers, and the result is statistically verified.

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A Review of the Research on E-commerce Ecosystem in China (중국 전자상거래 생태계 동향에 관한 연구)

  • Gao, Lan;Han, Jeong-Soo;Kim, Hyung-Ho
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.141-148
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    • 2019
  • Based on the theory of information ecology, this paper conducts a quantitative analysis on the research literature of e-commerce ecosystem in China, and clarifies the research hotspots and development trends, so as to provide reference for subsequent studies. With the key words related literatures collected by CNKI as the data source, and the software CiteSpaceIV is used to draw a visual knowledge map, the distribution of e-commerce ecosystem research papers in China is statistically analyzed by econometric analysis method, and literature research is summarized and evaluated. The research results show that previous studies mainly focus on the concept of e-commerce ecosystem, and there are relatively few research results on the construction and evolution mechanism of e-commerce ecosystem, so the depth and breadth of research should be expanded. Applying the concept of e-commerce ecosystem to solve the problems in cross-border e-commerce will be the future research trend.