• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.721-724
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• 2006

최근 인간 유전체 연구에 대한 관심이 증대되어 유전자원 정보에 대한 효율적 활용을 위한 정보 수집 및 관리 활동이 지속적으로 이루어지고 있다. 그러나 현재까지 연구된 보건의료분야 표준 코드체계들은 유전자원 정보 식별을 위한 적합한 표현방법을 고려하지 않아 유전자원 정보관리에 적용하기 어려운 문제점을 갖고 있으며, 현재 사용되는 식별체계 또한 기관에 따라 자체적으로 운영되고 있는 것이 현실이다. 따라서 이 논문에서는 보건의료 정보 관리에 적용되는 국내 외 표준 코드체계를 분석하고 유전자원 표준 코드체계 설계를 위한 정보 요구사항 및 기본방향을 제시하였다.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.1-8
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• 2020

Recently, the number of APT(Advanced Persistent Threats) attack using malware has been increasing, and research is underway to prevent and detect them. While it is important to detect and block attacks before they occur, it is also important to make an effective response through an accurate analysis for attack case and attack type, these respond which can be determined by analyzing the attack group of such attacks. Therefore, this paper propose a framework based on genetic algorithm for analyzing malware and understanding attacker group's features. The framework uses decompiler and disassembler to extract related code in collected malware, and analyzes information related to author through code analysis. Malware has unique characteristics that only it has, which can be said to be features that can identify the author or attacker groups of that malware. So, we select specific features only having attack group among the various features extracted from binary and source code through the authorship clustering method, and apply genetic algorithm to accurate clustering to infer specific features. Also, we find features which based on characteristics each group of malware authors has that can express each group, and create profiles to verify that the group of authors is correctly clustered. In this paper, we do experiment about author classification using genetic algorithm and finding specific features to express author characteristic. In experiment result, we identified an author classification accuracy of 86% and selected features to be used for authorship analysis among the information extracted through genetic algorithm.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.1-10
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• 2015

Generating chord score based on melody is essential for composition and arrangement, while it is picky for amateurs who do not have harmonics knowledges. To solve this problem, we developed automatic chord score generating program, ACGP. Based on genetic algorithm, it successfully reflects diverse hormonic factors and the mood of the music. User interface was also implemented so that anyone can use the program conveniently. Additional analysis was conducted to prove the utility of ACGP.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.11a
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• pp.23-27
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• 2008

In this study, Real Coded Genetic Algorithm(RCGA) and Artificial Neural Network(ANN) are used for developing the defect diagnostics of the aircraft turbo-shaft engine. ANN accompanied with large amount data has a most serious problem to fall in the local minima. Because of this weak point, it becomes very difficult to obtain good convergence ratio and high accuracy. To solve this problem, GA based ANN has been suggested. GA is able to search the global minima better than ANN. GA based ANN has shown the RMS defect error of 5% less in single and dual defect cases.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.53-58
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• 2010

코드 난독화 기법 중의 하나인 인라인(Inline)은 코드의 복사를 통하여 함수의 호출 구조를 파괴하여서 코드의 복원과 이해를 어렵게 만든다. 하지만 적절한 전략 없이 인라인 기법을 적용하게 되면, 프로그램 성능이 저하되며 난독화의 결과도 기대 이하일 가능성이 존재한다. 따라서 지나친 성능의 저하를 막으면서 결과적으로 코드의 복원과 이해를 최대한 어렵게 하기 위한 인라인 수행 전략이 필요하다. 이를 위하여 본 논문에서는 정적 함수 호출 그래프를 기반으로 인라인의 적용 여부를 유전 알고리즘을 사용하여 결정하도록 한다. 그리고 인라인 전후의 효용을 보여주기 위하여 정보이론 및 제어 흐름의 복잡도에 기반하여 전체 프로그램의 복잡도를 정의하였다. 마지막으로 해당 기법의 효용을 실험을 통해 보였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.135-140
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• 2016

In this paper, we analyze the [UC;AG] code which is genetic information standard DNA code, with 64 trigram. DNA which contains human genetic information, is a shape of adding three billion pairs of four bases which are A(adenine), C(cytosine), G(guanine) and T(thymine) to phosphoric acid and glucose. We present standard DNA code to 64 trigram which is $64{\times}4$ matrix with Kronecker product. This $64{\times}4$ matrix has double helix duplex property, and we can get the $4{\times}4$ matrix RNA code by removing the duplex of it. We present the DNA double helix to matrices and analysis the trigram array code of genetic information and the examples of it are presented in example 5, 6.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.180-184
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• 2009

The memory is very sensitive to the soft error because the integration of the memory increases under low power environment. Error correcting codes (ECCs) are commonly used to protect against the soft errors. This paper proposes a new genetic ECC design method which reduces power consumption. Power is minimized using the degrees of freedom in selecting the parity check matrix of the ECCs. Therefore, the genetic algorithm which has the novel genetic operators tailored for this formulation is employed to solve the non-linear power optimization problem. Experiments are performed with Hamming code and Hsiao code to illustrate the performance of the proposed method.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.733-735
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• 2021

유전 프로그래밍 기법을 이용하여 완성된 프로그램 코드를 생성하는 연구는 최근까지 실용적으로 사용할 만한 결과를 만들지 못하고 있다. 우리는 완성된 프로그램 코드를 만들지 않고, 특정 기능을 갖는 함수 코드를 자동 생성하는 연구에 중점을 두었다. 실제 구현을 위한 시스템을 설계하고 타당성을 검토 하였다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.06a
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• pp.148-155
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• 2002

Multithreaded models improve the efficiency of parallel systems by combining inner parallelism, asynchronous data availability and the locality of von Neumann model. This model executes thread code which is generated by compiler and of which quality is given by the method of generation. But multithreaded models have the demerit that execution model is restricted to a specific platform. On the contrary, Java has the platform independency, so if we can translate from threads code to Java bytecode, we can use the advantages of multithreaded models in many platforms. Java executes Java bytecode which is intermediate language format for Java virtual machine. Java bytecode plays a role of an intermediate language in translator and Java virtual machine work as back-end in translator. But, Java bytecode which is translated from multithreaded models have the demerit that it is not secure. This paper, multhithread code whose feature of platform independent can execute in java virtual machine. We design and implement translator which translate from thread code of multithreaded code to Java bytecode and which check secure problems from Java bytecode.

• The Science & Technology
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• v.17 no.7 s.182
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• pp.20-22
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• 1984

해저유전개발 로보트 등장 / 식물을 사용하는 발전소 / 비행기 진단 컴퓨터 / 전기코드가 없는 다리미 / 살아있는 콘택트렌즈 / 스웨덴 연구개발예산 크게 늘려