• 제목/요약/키워드: Technology evolution

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전이금속 이중층 수산화물 기반 산소발생반응 촉매 연구 동향 (Transition Metal-Based Layered Double Hydroxides for Oxygen Evolution Reaction Catalysts)

  • 한다운;박경배
    • 한국전기전자재료학회논문지
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    • 제37권4호
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    • pp.358-373
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    • 2024
  • Oxygen evolution reaction is a critical bottleneck for the development of efficient electrochemical hydrogen production because of its sluggish reaction. Among various catalysts, transition metal-based layered double hydroxide has drawn significant attention due to their excellent catalytic properties and cost-effectiveness. This paper begins with basic crystal structures, and then conventional adsorbate evolution mechanism of layered double hydroxide. Strategies for enhancing catalytic properties based on adsorbate evolution mechanism and lattice oxygen mechanism that could surpass theoretical limit of adsorbate evolution mechanism are discussed. This paper ends with a brief discussion on the challenges and future directions of layered double hydroxide-based oxygen evolution reaction catalysts.

공진화 분석기반 기술 인텔리전스 : 반도체 패키지공정 사례 (Technology Intelligence based on the Co-evolution Analysis : Semiconductor Package Process Case)

  • 이병준;신준석
    • 기술혁신연구
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    • 제28권4호
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    • pp.63-93
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    • 2020
  • 본 연구는 반도체 제품과 설비기술을 대상으로 제품-공정기술 공진화를 교차영향분석(cross impact analysis)을 통해 구체화하고, 공진화 관계를 기술 인텔리전스의 대표적 도구 중 하나인 기술레이더에 통합하는 방법을 제시한다. 교차영향분석을 통해 공정기술 발전과 제품특성 개선이 반복되는 공진화 경로와 축이 되는 세부기술들을 파악했다. 또한 공진화 관계를 기술레이더의 기술가치평가 프로세스에 반영해 가치평가와 연구개발 포트폴리오의 신뢰성을 제고했다. 학술적 측면에서 기술간 공진화를 세부기술 단위에서 구체화했으며, 기술 공진화 이론과 기술 인텔리전스의 접점을 제시했다는 의미가 있다. 실무적 측면에서는 반도체 관통전극-하이브리드 패키지 제품과 주요 후공정 기술간 공진화 및 기술레이더 분석 실례를 제시하고, 이를 통해 기술간 공진화 관계를 기존 기술전략 및 기획도구에 반영해 기업의 미래준비역량과 전략기획의 신뢰성을 제고하는 방법을 구체화했다는 점에서 가치가 있다.

A Semantic Aspect-Based Vector Space Model to Identify the Event Evolution Relationship within Topics

  • Xi, Yaoyi;Li, Bicheng;Liu, Yang
    • Journal of Computing Science and Engineering
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    • 제9권2호
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    • pp.73-82
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    • 2015
  • Understanding how the topic evolves is an important and challenging task. A topic usually consists of multiple related events, and the accurate identification of event evolution relationship plays an important role in topic evolution analysis. Existing research has used the traditional vector space model to represent the event, which cannot be used to accurately compute the semantic similarity between events. This has led to poor performance in identifying event evolution relationship. This paper suggests constructing a semantic aspect-based vector space model to represent the event: First, use hierarchical Dirichlet process to mine the semantic aspects. Then, construct a semantic aspect-based vector space model according to these aspects. Finally, represent each event as a point and measure the semantic relatedness between events in the space. According to our evaluation experiments, the performance of our proposed technique is promising and significantly outperforms the baseline methods.

Numerical Simulation of Phase Separation in Bulk Hetero-junction Photoactive Layer

  • Hang, Nguyen Thi;Van Thuong, Dinh;Nhat, Hoang Nam;Van Chau, Dinh
    • International Journal of Advanced Culture Technology
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    • 제4권1호
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    • pp.31-36
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    • 2016
  • Morphology evolution of the active layer in bulk hetero-junction organic photovoltaic is modeled and visualized. The width of the phase domain can be predicted using the relationship of characteristics length and evolution time of the process. The 3D numerical simulation of the PCBM/P3HT blend morphology evolution with respect to time is presented. It is observed that the domain width of composition phase can be predicted by using the relationship between value of characteristic length R(t) and evolution time t.

Evolutionary Design of Image Filter Using The Celoxica Rc1000 Board

  • Wang, Jin;Jung, Je-Kyo;Lee, Chong-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1355-1360
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    • 2005
  • In this paper, we approach the problem of image filter design automation using a kind of intrinsic evolvable hardware architecture. For the purpose of implementing the intrinsic evolution process in a common FPGA chip and evolving a complicated digital circuit system-image filter, the design automation system employs the reconfigurable circuit architecture as the reconfigurable component of the EHW. The reconfigurable circuit architecture is inspired by the Cartesian Genetic Programming and the functional level evolution. To increase the speed of the hardware evolution, the whole evolvable hardware system which consists of evolution algorithm unit, fitness value calculation unit and reconfigurable unit are implemented by a commercial FPGA chip. The Celoxica RC1000 card which is fitted with a Xilinx Virtex xcv2000E FPGA chip is employed as the experiment platform. As the result, we conclude the terms of the synthesis report of the image filter design automation system and hardware evolution speed in the Celoxica RC1000 card. The evolved image filter is also compared with the conventional image filter form the point of filtered image quality.

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Differential Evolution Algorithm for Job Shop Scheduling Problem

  • Wisittipanich, Warisa;Kachitvichyanukul, Voratas
    • Industrial Engineering and Management Systems
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    • 제10권3호
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    • pp.203-208
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    • 2011
  • Job shop scheduling is well-known as one of the hardest combinatorial optimization problems and has been demonstrated to be NP-hard problem. In the past decades, several researchers have devoted their effort to develop evolutionary algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for job shop scheduling problem. Differential Evolution (DE) algorithm is a more recent evolutionary algorithm which has been widely applied and shown its strength in many application areas. However, the applications of DE on scheduling problems are still limited. This paper proposes a one-stage differential evolution algorithm (1ST-DE) for job shop scheduling problem. The proposed algorithm employs random key representation and permutation of m-job repetition to generate active schedules. The performance of proposed method is evaluated on a set of benchmark problems and compared with results from an existing PSO algorithm. The numerical results demonstrated that the proposed algorithm is able to provide good solutions especially for the large size problems with relatively fast computing time.

Hardness prediction based on microstructure evolution and residual stress evaluation during high tensile thick plate butt welding

  • Zhou, Hong;Zhang, Qingya;Yi, Bin;Wang, Jiangchao
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제12권1호
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    • pp.146-156
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    • 2020
  • Two High Tensile Strength Steel (EH47) plates with thickness of 70 mm were butt-welded together by multi-pass Submerged Arc Welding (SAW), also the hardness and welding residual stress were investigated experimentally. Based on Thermal-Elastic-Plastic Finite Element (TEP FE) computation, the thermal cycles during entire welding process were obtained, and the HAZ hardness of multi-pass butt welded joint was computed by the hardenability algorithm with considering microstructure evolution. Good agreement of HAZ hardness between the measurement and computational result is observed. The evolution of each phase was drawn to clarify the influence mechanism of thermal cycle on HAZ hardness. Welding residual stress was predicted with considering mechanical response, which was dominantly determined by last cap welds through analyzing its formation process.

Highly Active Electrocatalyst based on Ultra-low Loading of Ruthenium Supported on Titanium Carbide for Alkaline Hydrogen Evolution Reaction

  • Junghwan, Kim;Sang-Mun, Jung;Kyu-Su, Kim;Sang-Hoon, You;Byung-Jo, Lee;Yong-Tae, Kim
    • Journal of Electrochemical Science and Technology
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    • 제13권4호
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    • pp.417-423
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    • 2022
  • With the emerging importance of catalysts for water electrolysis, developing efficient and inexpensive electrocatalysts for water electrolysis plays a vital role in renewable hydrogen energy technology. In this study, a 1nm thickness of TiC-supported Ru catalyst for hydrogen evolution reaction (HER) has been successfully fabricated using an electron (E)-beam evaporator and thermal decomposition of gaseous CH4 in a furnace. The prepared Ru/TiC catalyst exhibited an outstanding performance for alkaline hydrogen evolution reaction with an overpotential of 55 mV at 10 mA cm-2. Furthermore, we demonstrated that the outstanding HER performance of Ru/TiC was attributed to the high surface area of the support and the metal-support interaction.

『시리우스 제국의 실험』에 나타난 도리스 레싱의 진화에 관한 시각 (Doris Lessing's Views on Evolution in The Sirian Experiments)

  • 민경숙
    • 영어영문학
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    • 제58권4호
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    • pp.655-678
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    • 2012
  • Doris Lessing, who considers science and technology as instruments of capitalism, deals with the theme of 'biological evolution' in The Sirian Experiments, the third book in the Canopus in Argos: Archives series. One of her themes that repeats throughout is that of 'spiritual evolution,' and in The Four-Gated City she even used 'biological evolution' as its metaphor. This paper analyzes The Sirian Experiments using scientific knowledge such as the concept of 'biological evolution' from Charles Darwin's evolution theory and Edward O. Wilson's sociobiology. Lessing concludes that while 'biological evolution' not accompanied with 'spiritual evolution' puts humans in existential problems and mental breakdown, the one in equilibrium with the other can bring social and political revolution. Lessing's concept of 'spiritual evolution' is basically a product of her holistic view and her own philosophical view that human evolution is a necessary process following the Universal Order, which shows that she is influenced by Sufism. The basic tenet in Sufi philosophy is to achieve equilibrium between the rational and non-rational modes of consciousness. Lessing incorporates her rational and irrational ideas into The Sirian Experiments to make a field for confluence where the biological, the sociological, and the spiritual thinking converge.

Online Evolution for Cooperative Behavior in Group Robot Systems

  • Lee, Dong-Wook;Seo, Sang-Wook;Sim, Kwee-Bo
    • International Journal of Control, Automation, and Systems
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    • 제6권2호
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    • pp.282-287
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    • 2008
  • In distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior learning finds an optimal state-action mapping of a robot for a given operating condition. In behavior learning, a Q-learning algorithm is modified to handle delayed rewards in the distributed robot systems. A group of robots implements cooperative behaviors through communication with other robots. Individual robots improve the state-action mapping through online evolution with the crossover operator based on the Q-values and their update frequencies. A cooperative material search problem demonstrated the effectiveness of the proposed behavior learning and online distributed evolution method for implementing cooperative behavior of a group of autonomous mobile robots.