• Title/Summary/Keyword: 지식전파

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A Coevolution of Artificial-Organism Using Classification Rule And Enhanced Backpropagation Neural Network (분류규칙과 강화 역전파 신경망을 이용한 이종 인공유기체의 공진화)

  • Cho Nam-Deok;Kim Ki-Tae
    • The KIPS Transactions:PartB
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    • v.12B no.3 s.99
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    • pp.349-356
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    • 2005
  • Artificial Organism-used application areas are expanding at a break-neck speed with a view to getting things done in a dynamic and Informal environment. A use of general programming or traditional hi methods as the representation of Artificial Organism behavior knowledge in these areas can cause problems related to frequent modifications and bad response in an unpredictable situation. Strategies aimed at solving these problems in a machine-learning fashion includes Genetic Programming and Evolving Neural Networks. But the learning method of Artificial-Organism is not good yet, and can't represent life in the environment. With this in mind, this research is designed to come up with a new behavior evolution model. The model represents behavior knowledge with Classification Rules and Enhanced Backpropation Neural Networks and discriminate the denomination. To evaluate the model, the researcher applied it to problems with the competition of Artificial-Organism in the Simulator and compared with other system. The survey shows that the model prevails in terms of the speed and Qualify of learning. The model is characterized by the simultaneous learning of classification rules and neural networks represented on chromosomes with the help of Genetic Algorithm and the consolidation of learning ability caused by the hybrid processing of the classification rules and Enhanced Backpropagation Neural Network.

Theory and Implementation of Dynamic Taint Analysis for Tracing Tainted Data of Programs (프로그램의 오염 정보 추적을 위한 동적 오염 분석의 이론 및 구현)

  • Lim, Hyun-Il
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.7
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    • pp.303-310
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    • 2013
  • As the role of software increases in computing environments, issues in software security become more important problems. Dynamic taint analysis is a technique to trace and manage tainted data originated from unreliable sources during the execution of a program. This analysis can be applied to software security verification as well as software behavior understanding, testing unexpected errors, or debugging. In the previous researches, they focussed only to show the analysis results of dynamic taint analysis, and they did not logically describe propagation process of tainted data and analysis procedures. So, there were difficulties in understanding the analysis procedures or applying to other analysis. In this paper, by theoretically describing the analysis procedure, we logically show how the propagation process of tainted data can be traced, and present a theoretical model for dynamic taint analysis. In addition, we verify the correctness of the proposed model by implementing an analyser, and show that propagation of tainted data can be traced by the model. The proposed model can be applied to understand the analysis procedures of data flows in dynamic taint analysis, and can be used as an base knowledge for designing and implementing analysis method, which applies such analysis method.

The Change of the Knowledge Field in a Transition Period based on the Transition of the Status of Chinese Novels - Focusing Liang Qichao's Assertion, the Revolution of the Novel World (중국소설의 위상 변천으로 본 과도기 지식 장(場)의 변화 - 양계초(梁啓超)의 소설계혁명(小說界革命)을 중심으로 -)

  • Jung, Sun Kyung
    • (The)Study of the Eastern Classic
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    • no.55
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    • pp.115-145
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    • 2014
  • In this paper, the transition of the status of Chinese novels and the change of the knowledge field in the modern times from the end of 19th century to the early 20th century, the transition period between the tradition and the modern times, have been investigated based on Liang Qichao's assertion of the Revolution of the Novel World. How the traditional novels have been evaluated, how modern novels enlightened a people and changed the political society, and what role novels acted in the change of the knowledge field are investigated. Especially I looked into the accumulations of knowledge and changes inside China which were overlooked in the previous researches which focused on the inflow of the Western culture and its impact on Chinese culture. Firstly the evaluation and classification of the traditional novels are considered. Because the transition of the status of novels and the classification method of the catalog of books are tightly coupled with the change of academic ideologies. Later I tried to understand novels as a way of thinking the modern times with a discussion on the changes of modern knowledge society and the consideration of Liang Qichao's Revolution of the Novel World in the two viewpoints, i.e. the relationship between novels and political society, and novels and the style of writing. Liang Qichao raised novels to the topmost position of literature. He pushed the traditional poetry off the top position and replaced it with popular novels. As the outside impact of Western culture made Chinese novels a tool for enlightening the ignorant people and the medium of propagating the knowledge, the status of novels was elevated to the highest level which novels had never reached in the past. With the limitation that the valuation was not based on the aesthetic appreciation of art but based on the value for politics and society, novel was a discourse of life and death to save the country and a container of knowledge to rebuild the people's mind and convert the crisis of the national ruin.

An Adaptive Search Strategy using Fuzzy Inference Network (퍼지추론 네트워크를 이용한 적응적 탐색전략)

  • Lee, Sang-Bum;Lee, Sung-Joo;Lee, Mal-Rey
    • Journal of the Korea Society of Computer and Information
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    • v.6 no.2
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    • pp.48-57
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    • 2001
  • In a fuzzy connectionist expert system(FCES), the knowledge base can be constructed of neural logic networks to represent fuzzy rules and their relationship, We call it fuzzy rule inference network. To find out the belief value of a conclusion, the traditional inference strategy in a FCES will back-propagate from a rule term of the conclusion and follow through the entire network sequentially This sequential search strategy is very inefficient. In this paper, to improve the above search strategy, we proposed fuzzy rule inference rule used in a FCES was modified. The proposed adaptive search strategy in fuzzy rule inference network searches the network according to the search priorities.

Automatic Synthesis of Fault Tree Using Object-oriented Unit Modeling (객체지향 장치 모델링을 이용한 Fault Tree의 자동합성)

  • Hwang Kyu Suk;Hou Bo Kyeng
    • Journal of the Korean Institute of Gas
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    • v.5 no.2 s.14
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    • pp.1-8
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    • 2001
  • Fault tree construction for hazard assessment requires so much time and labor, so it is very difficult to be applied to the large scale chemical plant. In this study, for the synthesis of fault tree in chemical processes, the object-oriented knowledge framework is proposed to represent the deviations of process variables in the equipment and cause-consequence relationship with equipment faults. The cause of fault is searched by using the object-oriented modeling of equipments and the connectivity among equipments, and then a fault tree is synthesized. we have discussed the performance of the methodology on nitric acid cooling process to evaluate its effectiveness.

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Ad hoc network Security Mechanism for Secure Data Sharing in Mobile Social Network (모바일 소셜 네트워크에서 안전한 데이터 공유를 위한 애드혹 네트워크 보안 메커니즘)

  • Kim, Ga-Rin;Hong, Choong-Seon
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06d
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    • pp.363-365
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    • 2012
  • 최근 빠르게 확산되고 있는 소셜 네트워크 서비스(Social Network Service)는 사용자의 인맥을 관리하며 새로운 인맥을 형성하는 것을 목표로 한다. 또한 사용자들이 자신의 관심사에 관한 지식이나 정보를 공개함으로써 정보의 효율성을 높이고 다른 사용자들에게 정보를 전파한다. 하지만 현재의 소셜 네트워크 서비스는 새로운 인맥을 형성하는 것보다 실제 사회에서의 인맥을 가상의 공간에서도 유지하고 관리하여 실제로 만나지 않더라도 관계를 유지할 수 있도록 하는 용도로 사용되어 소셜 네트워크의 목표를 달성하지 못하고 있다. 하지만 특정한 공간의 동일한 관심사를 가진 사람들 간의 제한적 정보 공유는 소셜 네트워의 단점을 보안하고 궁극적 목표를 달성할 수 있다. 또한 특정 관심사를 기반으로 그룹을 생성함으로써 정보의 신뢰도를 높이며 새로운 인맥을 형성에도 효과적 일 것이다. 하지만 이러한 네트워크는 모바일 환경의 특징으로 인해 빠르게 변화할 수 있으며 위치를 기반으로 특정 공간의 다른 사용자들과 통신함으로 완전히 새로운 인맥을 형성하게 된다. 그러므로 안전하게 신뢰관계를 구축하기위해 사용자의 평판 관리가 필요하다. 본 논문에서는 소셜 네트워크에서 동일한 관심사를 가진 폐쇄적 정보공유에서의 악의적 노드의 고립을 위한 평판 메커니즘을 제안한다.

Modeling and Visualization of Flood Inundation in Natural River (자연하천의 홍수범람 모의 및 가시화)

  • Goh, Tae-Jin;Jung, Tae-Sung
    • Journal of the Korean Society of Hazard Mitigation
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    • v.8 no.3
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    • pp.157-164
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    • 2008
  • A modeling and visualization system of flood inundation in natural river, FloodViz, has been developed. Unsteady river flow and flood inundation are calculated by FLDWAV model. FLDWAV model and HEC-RAS model have been applied to a flood event at the same time to check model reliability. Simulation results of the two models showed good agreements. Flood propagation and inundation process can be analyzed accurately and easily by using visualization function of the FloodViz. Even though FloodViz users don't know well about both hydraulics and hydrology, they can understand flood inundation phenomena easily. This system can be used as a useful tool in forecasting flood inundation and observing the simulation results. Countermeasures for natural disaster prevention due to flood inundation can be established rapidly by using the FloodViz.

Neural Logic Network-Based Fuzzy Inference Network and its Search Strategy (신경논리망 기반의 퍼지추론 네트워크와 탐색 전략)

  • Lee, Heon-Joo;Kim, Jae-Ho
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.5
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    • pp.1138-1146
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    • 1996
  • Fuzzy logic ignores some informations in the reasoning process. Neural networks are powerful tools for the pattern processing. However, to model human knowledges, besides pattern processing capability, the logical reasoning capability is equally important. Another new neural network called neural logic network is able to do the logical reasoning. Because the fuzzy logical reasoning, we construct fuzzy inference net-work based on the neural logic network, extending the existing rule-inferencing network. And the traditional propagation rule is modified. For the search strategies to find out the belief value of a conclusion in the fuzzy inference network, we conduct a simulation to evaluate the search cost for searching sequentially and searching by means of priorities.

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IT innovation and the Korean Culture Wave(Hanrhyu) (IT 혁신과 한류열풍)

  • Kim Yoon-ho;Song Hag-hyun;Yoon Byong-min
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.4
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    • pp.698-702
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    • 2005
  • As a rapidly progressing of globalization and real time Prcessing in market, Korea's IT is developing, which is aimming at world market. In addition, propagation of cultivation is forming natually by lead to CT in the Asia. Latest in '90's hallyu(korean culture wave) was generated from in the east-north China province and moved to the east south Asia. It is also spreading form TV drama, music to movie, game, food, fashion and so on. This paper analyzed the outcome related with hallyu and IT innovation in knowledge-based economic society. It also addressed some effective strategies for advancing world market incorporating hallyu waves into IT.

Fracture Characteristics in Geologic Media for Groundwater Flow : Review (암반의 지하수유동해석을 위한 지하매질의 열극특성 개념에 대한 고찰)

  • 배대석;송무영
    • The Journal of Engineering Geology
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    • v.5 no.2
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    • pp.201-213
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    • 1995
  • Understanding of the fracture processes in rock mass for hydrogeology necessitates such information as fracture mechanics including genesis, propagation, termination, and the relation of fracture distribution to geologic structures and fracture modelling, etc. A current status of information on fracture for groundwater flow in rock mass, however, is very paucity except on a few special fields throughout the world. The desired and reasonable approach method in the evaluation on the groundwater flow in fractured rock mass must be based on the thorough understanding of fracture processes and a simplified model representing fracture properties which would be met to natural conditions for the interpretation and prediction.

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