• 소성∙가공
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• 제17권2호
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• pp.117-123
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• 2008

In this study, optimum processing condition of rolled AZ31 Mg alloy was investigated by utilizing processing map and constitutive equation considering microstructure evolution(dynamic recrystallization) occurring during hot-working. A series of mechanical tests were conducted at various temperatures and strain rates to construct a processing map and to formulate the recrystallization kinetics in terms of grain size. Dynamic recrystallization(DRX) was observed to occur at a domain of $250^{\circ}C$ and 1/s(maximum dissipation-efficiency region). The effect of DRX kinetics on microstructure evolution was implemented in a commercial FEM code followed by remapping of the state variables. The volume fraction and grain size of deformed part were predicted using a modified FEM code and were compared with those of actual hot forged part. A good agreement was observed between the experimented results and predicted ones.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2007년도 추계학술대회 논문집
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• pp.31-34
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• 2007

In this study, optimum processing condition of AZ31 Mg alloy was investigated utilizing processing map and constitutive equation considering microstructure evolution (dynamic recrystallization) during hot-working. A series of mechanical tests were conducted at various temperatures and strain rates to construct a processing map and to formulate the recrystallization kinetics and grain size relation. Dynamic recrystallization (DRX) was observed to occur revealing maximum intensity at a domain of $250^{\circ}C$ and 1/s. The effect of DRX kinetics on microstructure evolution was implemented in a commercial FEM code followed by remapping of the state variables. The volume fraction and grain size of deformed part were predicted using a modified FEM code and compared with those of actual hot forged one. A good agreement was observed between the experimental results and predicted ones.

• 소성∙가공
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• 제10권1호
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• pp.35-41
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• 2001

The high temperature deformation behavior of SCM 440 can be characterized by the hot torsion test in the temperature ranges of $900^{\circ}C$~$1100^{\circ}C$ and strain rate ranges of 0.05/sec~5/sec. The aim of this paper is to establish the quantitative equation of the volume fraction of dynamic recrystallization (DRX) as a function of processing variables, such as strain rate ($\varepsilon$), temperature (T), and strain ('$\varepsilon$). During hot deformation, the evolution of microstructure could be analyzed from work hardening rate ($\theta$). For the exact prediction of dynamic softening mechanism the critical strain ($\varepsilon_c$), the strain for maximum softening rate ($\varepsilon^*$ and Avrami' exponent (m') were quantitatively expressed by dimensionless parameter, Z/A, respectively. The transformation-effective strain-temperature curve for DRX could be composed. It was found that the calculated results were agreed with the experimental data for the steel at any deformation conditions.

• 소성∙가공
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• 제9권1호
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• pp.72-79
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• 2000

Dynamic recrystallization (DRX), which may occur during hot deformation, is important for the microsturctural evolution of 304 stainless steel. Especially, the current interest in modelling hot rolling demands quantitative relationships among the thermomechanical process variables, such as strain, temperature, strain rate, and etc. Thus, this paper individually presents the relationships for flow stress and volume fraction of DRX as a function of processing variables using torsion tests. The hot torsion tests of 304 stainless steel were performed at the temperature range of 900~110$0^{\circ}C$ and the strain rate range of 5x10-2~5s-1 to study the high temperature softening behavior. For the exact prediction of flow stress, the equation was divided into two regions, the work hardening (WH) and dynamic recovery (DRV) region and the DRX region. Especially, The flow stress of DRX region could be expressed by using the volume fraction of DRX (XDRX). Since XDRX was consisted of the critical strain($\varepsilon$c) for initiation of dynamic recrystallization (DRX) and the strain for maximum softening rate ($\varepsilon$*), that were related with the evolution of microstructure. The calculated results predicted the flow stress and the microstructure of the alloy at any deformation conditions well.

• 전자공학회논문지S
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• 제34S권8호
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• pp.56-64
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• 1997

In distributed autonomous robotic systems, each robot must behaves by itself according to the its states and environements, and if necessary, must cooperates with other orbots in order to carray out a given task. Therefore it is essential that each robot has both learning and evolution ability to adapt the dynamic environments. In this paper, the new learning and evolution method based on reinforement learning having delayed reward ability and distributed genectic algorithms is proposed for behavior learning and evolution of collective autonomous mobile robots. Reinforement learning having delayed reward is still useful even though when there is no immediate reward. And by distributed genetic algorithm exchanging the chromosome acquired under different environments by communication each robot can improve its behavior ability. Specially, in order to improve the perfodrmance of evolution, selective crossover using the characteristic of reinforcement learning is adopted in this paper, we verify the effectiveness of the proposed method by applying it to cooperative search problem.

• Smart Structures and Systems
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• 제26권3호
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• pp.345-360
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• 2020

Modern swarm intelligence heuristic search methods are widely applied in the field of structural health monitoring due to their advantages of excellent global search capacity, loose requirement of initial guess and ease of computational implementation etc. To this end, a hybrid strategy is proposed based on butterfly optimization algorithm (BOA) and differential evolution (DE) with purpose of effective combination of their merits. In the proposed identification strategy, two improvements including mutation and crossover operations of DE, and dynamic adaptive operators are introduced into original BOA to reduce the risk to be trapped in local optimum and increase global search capability. The performance of the proposed algorithm, hybrid butterfly optimization and differential evolution algorithm (HBODEA) is evaluated by two numerical examples of a simply supported beam and a 37-bar truss structure, as well as an experimental test of 8-story shear-type steel frame structure in the laboratory. Compared with BOA and DE, the numerical and experimental results show that the proposed HBODEA is more robust to detect the reduction of stiffness with limited sensors and contaminated measurements. In addition, the effect of search space, two dynamic operators, population size on identification accuracy and efficiency of the proposed identification strategy are further investigated.

• 기술혁신연구
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• 제18권2호
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• pp.253-288
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• 2010

본 연구는 기업의 지속적 생존과 성장이 변화하는 환경에 대응할 수 있는 지속적인 제품혁신에 있음에 초점을 두고, 산업 진화과정이 기업의 제품혁신 유형에 어떤 영향을 미치고 있는지와 인지, 기회구현, 변형의 세 가지 동태적 역량이 제품혁신에 미치는 영향을 분석하였다. 연구분석을 위해 1999년부터 2008년까지 산업의 도입기부터 성장기, 성숙기, 쇠퇴기를 모두 경험함으로써 종단적 분석에 적합한 한국 무선인터넷 산업의 7개 상장 기업에 대한 인터뷰와 문헌조사를 통한 사례연구를 수행하였다. 본 연구의 분석을 통하여 발견된 주요 결과는 다음과 같다. 첫째, 산업의 성장률이 둔화되는 성숙기 또는 쇠퇴기에는 제품혁신의 경로종속성은 낮아지고, 산업진화 과정의 외생적 변수가 중요해진다. 둘째, 기업의 인지활동은 상위 수준의 전략에 영향을 많이 받으며, 인지활동 범위와 제품혁신의 유형과는 밀접한 관계가 있다. 따라서 지속적인 성장을 위해서는 다양한 영역의 인지활동이 필요하다. 셋째, 기회구현역량은 제품혁신의 성공가능성에 영향을 미치며, 궁극적으로 기업의 재무적 성과에 기여하게 된다. 특히 경로종속성이 높은 제품혁신을 선택했을 때 높은 성과를 얻을 수 있으며, 적절한 비즈니스 모델의 개발과 필요한 자원 및 역량의 조달이 병행될 때 가능성은 높아진다. 넷째, 변형역량이 강한 기업이 그렇지 못한 기업에 비해 기존 역량을 활용할 수 있는 점진적 유형의 제품혁신을 선택할 확률이 크다. 결론적으로 기업이 성공적인 제품혁신을 추진하기 위해서는 산업 진화과정의 고려와 함께 균형적인 동태적 역량의 개발이 반드시 필요하며 이것이 기업의 지속적인 생존과 성장에 중요한 영향을 미친다고 할 수 있다.

• 천문학회보
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• 제16권
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• pp.15.3-16
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• 1991

• 한국전자거래학회지
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• 제18권2호
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• pp.27-46
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• 2013

융합 서비스를 빠른 시간 안에 시장에 제공하기 위해서는 외부 서비스와 자신의 핵심 역량을 융합하는 능력이 필요하며, 정보시스템 아키텍처는 이러한 서비스 융합을 효과적으로 지원해야 한다. 서비스 지향 아키텍처는 이러한 서비스 융합을 성공적으로 지원할 수 있는 정보시스템 아키텍처이다. 그러나 기존의 서비스 지향 아키텍처를 이용한 융합 서비스의 구현은 개별 서비스 진화가 융합 서비스의 진화로 반영되지 않는 단점이 있다. 본 논문에서는 서비스 지향 아키텍처의 맥락하에서 개별 서비스의 진화에 따른 융합 서비스의 자체적 진화를 지원하기 위한 프로파일 기반 동적 서비스 바인딩 기법의 도입을 제안하였다. 이를 위해 프로파일 기반 동적 서비스 바인딩 기술의 필요성을 제시하기 위해 스마트 운동 기구와 관련된 융합 서비스 시나리오를 제시하고 해당 기술이 구현해야 할 요구 사항을 도출하였다. 그리고 도출된 요구 사항을 만족시킬 수 있는 프로파일 기반 동적 서비스 바인딩 기술의 개념 및 구조를 제안하였다. 마지막으로 OSGi, Apache Camel, Apache CXF 등을 이용하여 프로파일 기반 동적 서비스 바인딩 기술의 프로토타입을 구현하여 제안된 기술에 대한 간략한 평가를 수행하였다.

• Journal of Information Technology Applications and Management
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• 제18권2호
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• pp.23-38
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• 2011

The advance of All-IP digital convergence is now triggering fundamental changes in the media industry. This article analyzes the evolution of the media industry based on a value chain model, with a special emphasis placed on the impact of digital technology on the structure of media production, distribution, and consumption. As the Internet has evolved into an access channel for all forms of media, the boundaries of the media industry remain unclear and open thus enabling anyone to become a creator of media. Furthermore, the scope of media continues to become more dynamic as competition grows between older and more innovative forms of media. In this light, adapting to innovative technologies and more effectively meeting the needs of customers represent key factors for the continued evolution of the media.