• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.665-666
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• 2022

Differential evolution is an efficient algorithm for continuous optimization problems. However, applying differential evolution to solve large-scale optimization problems quickly degrades performance and exponentially increases runtime. To overcome this problem, a new cooperative coevolution differential evolution based on Spark (referred to as SparkDECC) is proposed. The divide-and-conquer strategy is used in SparkDECC.

• Information and Communications Magazine
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• v.29 no.1
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• pp.30-37
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• 2011

아이폰으로 촉발된 스마트 혁명이 우리의 생활상과 글로벌 시장의 경쟁구도, IT의 역할을 진화시키고 있다. 스마트 혁명으로 언제 어디서나 인터넷을 통해 정보와 콘텐츠 소비가 가능해지며, 소비자들은 일상생활 속에서 문명의 이기를 마음껏 누리고 있다. 시장의 경쟁 구도는 플랫폼과 SW 콘텐츠에 대한 혁신적 성향을 가진 사업자들이 자사의 핵심역량을 기반으로 스마트 생태계를 구축하고 있다. 이에 전통적인 IT 사업자들은 시장에서 쇠퇴하는 위기도 맡고있다. 우리나라는 스마트 혁명에 뒤늦게 합류하였지만, 스마트 혁명을 주도하기 위해 다양한 기술적 정책적 노력을 진행 중이다. 그 동안의 기기 경쟁력을 기반으로 스마트폰, 3D TV 등의 첨단부문에서 글로벌 경쟁력 확보에 성공하였다. 그럼에도 지식 기반의 혁신기업들이 IT시장을 선도하며, 국내 IT는 다시금 힘겨운 노력을 해야 하는 상황이다. 우리는 SW와 콘텐츠, 플랫폼 등에서는 상대적으로 역량 확보에 미진한 점을 인정하고 산학연이 연계하여 다양한 대응 체계를 구축하고있다. 본고에서는 스마트 코리아 실현을 위한 IT R&D 추진 전략에 대해 논의하였다. 지식기반 기업들의 시장내 확산에 대응하여, 우리나라 IT현황을 재검토하고 미래 스마트 시장에 대한 대응 전략을 제시하는 것이다. 미래 IT의 역할은 단순히 기기 서비스 기반의 스마트 라이프 실현을 넘어, 유관산업의 신시장 개척, 글로벌 이슈 해결까지 확장될 것으로 기대되고 있다. IT를 기반으로 스마트코리아 실현을 위해서는 전방위적 전략이 필요한 시점이다. 스마트 IT기술의 특성과 산업내의 IT 진화 및 역할 변화를 고려할 때 창의형 원천연구, IT융합기술, 메가프로젝트 추진, 모바일 이후 시대의 학제적 연구를 장기적인 관점의 IT R&D 전략으로 제안하고자한다.

• Cartoon and Animation Studies
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• s.45
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• pp.127-146
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• 2016

The most presentative case would be functional evolution of webtoon as a contents business model, which has taken a initiating role in both innovated strategic experiments and outcomes. Most of all, There are the launch of PPS(Page Profit Sharing) sevice in NAVER webtoon, the paid service model implementation in KAKAOpage and potential business as an exclusive application in Lezhin entertainment This study to analyze these phenomina and results can figure out how the business model in the webtoon platform is developed in various fields diversely and what makes this model evolved and extended. Especially, the diversification of the webtoon platform has been received attention since it pursued the grouped spin off through horizontal convergence and transformational expansion among similar platforms, and also this shows that which factors enhance these phenomina to be controled and expanded. On the basis of the result of this study, we try to find the way to connect business vision of the domestic webtoon platform with affiliated business. Furthermore, it proposes the interrelationship between this and the business strategy for overseas in the globalized platform.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.243-244
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• 2020

본 논문에서는 SIM(Soft Island Model)을 통해 소집단 정보를 이동시키기 위한 KSDE라고 하는 수많은 전략을 제안한다. 먼저, 전체 모집단은 k- 평균 군집 알고리즘에 의해 k 개의 하위 모집단으로 분리된다. 둘째, 소집단에 돌연변이 조작을 수행하기 위해 전략 풀에서 돌연변이 전략을 무작위로 선택한다. 마지막으로, 이 알고리즘의 모집단 다양성을 개선하기 위해 하위 집단 정보가 SIM을 통해 마이그레이션 된다.

• Journal of The Korean Association For Science Education
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• v.35 no.4
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• pp.691-707
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• 2015

This study aims to develop biology teachers' education program based on argumentation activity about core concepts of evolution and to analyze the characteristics of core concepts of evolution learned during the program. The eight core concepts of evolution in this study were variation, heritability of variation, competition, natural selection, adaptation, differential reproductive rate of individuals, changes in genetic pool within a population, and macroevolution. The performances of teachers participating in the program were compared before and after argumentation activities; consisting of seven sessions on the eight core concepts of evolution. The process of the program was specially designed by learning cycle model for teacher education, consisting of seven phases: identification of the task, production of a tentative argument, small group's written argument, share arguments with the other groups, reflective discussion, final written argument, and organization by an instructor. Participants in the study were two pre-service biology teachers and four in-service biology teachers. The results suggest that biology teachers reduced the teleological explanation for biological evolution and improve its adequacy after the intervention. Teachers lacked the opportunity to discuss variation, heritability of variation, competition, and macroevolution because science textbooks lack information on the concepts of biological evolution. The results of this study suggest that because the argumentation program developed for teachers helps to improve understanding the concepts of evolution and to reduce inadequate conceptions in biology, teacher education programs using argumentation activity and eight core concepts of evolution will play a role for efficient evolution education for biology teachers.

• Cartoon and Animation Studies
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• s.18
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• pp.37-56
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• 2010

This paper focalizes on the 'evolution' of monster animation and . Actually, Many characters' 'Evolution' is a very powerful convention of Japanese genre animation. Lots of young people feel a huge pleasure about character's evolution. It is a fantastic spectacle to boys and girls. The first characteristic point of characters' evolution is growing-up body to an adult. For example, magical girls genre shows a woman's sexy body. This scene gives a sexual fantasy to young girl spectators, a voyeuristic visual pleasure to young boy spectators. The second point is that a transforming-body gains some super power or magical power. The third point is that a great many characters is in one text. In , characters' numbers go on increasing through 6 ways-hybrid type, mutant-reiteration type, metamorphosis type, simple-grownup type, narrative type, multiple evolution type. The evolution of has to pay attention to only one transforming way. Most Digimon characters are becoming to a human-weapons cyborg. In my opinion, this is very dangerous phenomenon with a political ideology.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.293-303
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• 2016

Analysis of bargaining games utilizing evolutionary computation in recent years has dealt with important issues in the field of game theory. In this paper, we investigated interaction and coevolution process among heterogeneous artificial agents using evolutionary computation in the bargaining game. We present three kinds of evolving-strategic agents participating in the bargaining games; genetic algorithms (GA), particle swarm optimization (PSO) and differential evolution (DE). The co-evolutionary processes among three kinds of artificial agents which are GA-agent, PSO-agent, and DE-agent are tested to observe which EC-agent shows the best performance in the bargaining game. The simulation results show that a PSO-agent is better than a GA-agent and a DE-agent, and that a GA-agent is better than a DE-agent with respect to co-evolution in bargaining game. In order to understand why a PSO-agent is the best among three kinds of artificial agents in the bargaining game, we observed the strategies of artificial agents after completion of game. The results indicated that the PSO-agent evolves in direction of the strategy to gain as much as possible at the risk of gaining no property upon failure of the transaction, while the GA-agent and the DE-agent evolve in direction of the strategy to accomplish the transaction regardless of the quantity.

• Journal of Intelligence and Information Systems
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• v.3 no.2
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• pp.1-9
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• 1997

These papers propose an evolutionary algorithm for re-using output of waste fuel of light water reactor system in nuclear power plants. Evolutionary algorithm is useful for optimization of the large space problem. The wastes contain several re-useable elements, and they should be carefully selected and blended to satisfy requirements as input material to the heavy water nuclear reactor system. This problem belongs to a NP-hard like the 0/1 Knapsack problem. Two evolutionary strategies are used as a, pp.oximation algorithms in the highly constrained combinatorial optimization problem. One is the traditional strategy, using random operator with evaluation function, and the other is heuristic based search that uses the vector operator reducing between goal and current status. We also show the method, which performs the feasible teat and solution evaluation by using the vectorized data in problem. Finally, We compare the simulation results of using random operator and vector operator for such combinatorial optimization problems.

• Electronics and Telecommunications Trends
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• v.24 no.2
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• pp.56-66
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• 2009

모바일 관련 산업의 중요성이 증대되고 모바일 기술이 급격히 발전하는 시점에, 지난 수 년간 우리 사회의 곳곳에서 등장한 2.0 패러다임은 모바일 웹 2.0패러다임을 등장시키며 정보통신산업에 큰 변화를 초래하고 있다. 사업자들은 유무선 네트워크 간의 경계가 희미해지고, 전통적인 통신산업의 가치사슬 내의 사업영역이 붕괴되면서 무한경쟁 체제로 진화되어 가고 있는 환경 변화에 순응하고 다양한 모바일 웹 2.0 관련사업을 시도하며 발전시켜 가고 있다. 모바일 웹 2.0사업의 진화 패러다임은 개방/공유/참여의 서비스 모델, 광고수익 모델, 사업자 간 인수 합병 및 전략적 제휴의 활성화, 무선망개방과 풀브라우징의 확대, 유무선 연계 통합 서비스 등으로 요약이 가능하다. 국내외 관련 사업자들은 이러한 패러다임에 순응하고 진화시켜 가며 모바일 웹 시장의 성장을 위한 지속적인 노력을 하고 있으나, 아직까지도 모바일 웹 시장은 도입기 단계에 머무르고 있다. 이는 모바일 웹 시장의 활성화를 위한 환경 조성이 미비하기 때문인 것으로 분석되며, 이러한 환경개선을 위해 망과 플랫폼의 개방, 투명한 요금제의 확산, 관련 기술의 표준화의 정착을 위한 지속적인 노력이 필요한 시점이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.559-560
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• 2021

Differential evolution is an efficient algorithm for solving continuous optimization problems. However, applying differential evolution to solve large-scale optimization problems dramatically degrades performance and exponentially increases runtime. Therefore, a novel cooperative coevolution differential evolution based on Spark (known as SparkDECC) is proposed. The divide-and-conquer strategy is used in SparkDECC.