• Title/Summary/Keyword: Co-evolutionary

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Identification of Research Areas and Evolution of 2D Materials by the Keyword Mapping Methodology (키워드 매핑 기반 2차원 물질 연구 영역 탐지와 발전 과정 분석)

  • Ahn, Sejung;Lee, June Young
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.31 no.1
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    • pp.11-18
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    • 2018
  • Two-dimensional (2D) materials such as transition metal dichalcogenides have attracted tremendous scientific interests owing to their potential of solving the zero band-gap issue of graphene. In this work, the research areas and technology evolutionary dynamics of the 2D materials were identified using the scientometric method focusing on keyword mapping and clustering. The time-series analysis showed that the technological progress of 2D material is in the early growth period. The overlay mapping analysis were carried out to investigate the technology evolution of 2D materials with time. The strategic diagram of co-word analysis classifying the topological positions of keyword was derived to support the analysis results. It is conjectured that extensive research will be conducted widely on the application of 2D materials not only in electronic and optoelectronic devices, but also in various other fields such as biomedical applications, and that their development will be more rapid based on accumulated results of extant graphene research.

Usefulness of Drones in the Urban Delivery System: Solving the Vehicle and Drone Routing Problem with Time Window (배송 네트워크에서 드론의 유용성 검증: 차량과 드론을 혼용한 배송 네트워크의 경로계획)

  • Chung, Yerim;Park, Taejoon;Min, Yunhong
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.3
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    • pp.75-96
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    • 2016
  • This paper investigates the usefulness of drones in an urban delivery system. We define the vehicle and drone routing problem with time window (VDRPTW) and present a model that can describe a dual mode delivery system consisting of drones and vehicles in the metropolitan area. Drones are relatively free from traffic congestion but have limited flight range and capacity. Vehicles are not free from traffic congestion, and the complexity of urban road network reduces the efficiency of vehicles. Using drones and vehicles together can reduce inefficiency of the urban delivery system because of their complementary cooperation. In this paper, we assume that drones operate in a point-to-point manner between the depot and customers, and that customers in the need of fast delivery are willing to pay additional charges. For the experiment datasets, we use instances of Solomon (1987), which are well known in the Vehicle Routing Problem society. Moreover, to mirror the urban logistics demand trend, customers who want fast delivery are added to the Solomon's instances. We propose a hybrid evolutionary algorithm for solving VDRPTW. The experiment results provide different useful insights according to the geographical distributions of customers. In the instances where customers are randomly located and in instances where some customers are randomly located while others form some clusters, the dual mode delivery system displays lower total cost and higher customer satisfaction. In instances with clustered customers, the dual mode delivery system exhibits narrow competition for the total cost with the delivery system that uses only vehicles. In this case, using drones and vehicles together can reduce the level of dissatisfaction of customers who take their cargo over the time-window. From the view point of strategic flexibility, the dual mode delivery system appears to be more interesting. In meeting the objective of maximizing customer satisfaction, the use of drones and vehicles incurs less cost and requires fewer resources.

추력기를 이용한 우주비행체 자세제어설계

  • Sun, Byung-Chan;Park, Yong-Kyu
    • Aerospace Engineering and Technology
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    • v.4 no.1
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    • pp.186-195
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    • 2005
  • This paper deals with attitude control design for a thruster system which is mainly used as a control system of space vehicles. Attitude controllers are designed based on a simple blowing-down thruster system structure. In order to consider severe time-delay effects of the thruster system during controller design, the control design problem is defined based on the corresponding limit cycle analysis. Optimal roll controllers and optimal pitch/yaw controllers are resulted from co-evolutionary optimum design processes for each flight phase. The control performances are verified by computer simulations.

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DUST-OBSCURED RADIO AGNS FROM THE WISE SURVEY

  • Kim, Minjin;Lonsdale, Carol J.;Lacy, Mark;Kimball, Amy;Condon, Jim
    • Publications of The Korean Astronomical Society
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    • v.27 no.4
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    • pp.289-290
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    • 2012
  • Feedback from accreting BH (AGN) is thought to be responsible for the co-evolution of BHs and galaxies. It is likely to be prominent in the most luminous dust-obscured quasars, particularly those containing radio sources too luminous to be powered by starbursts. In order to investigate the feedback mechanism in detail, we select a unique sample containing ~ 200 of the most luminous obscured QSOs by cross-matching the WISE catalog with the FIRST and NVSS radio surveys. We present overall statistics for the observed range of colors and radio/mid-IR flux density ratio. We also present our efforts to understand the physical and evolutionary nature of these extreme feedback candidates using various telescopes such as Magellan, SOAR, Herschel, and ALMA.

Implementation of Wireless Network Planning System for HSPA + and CCC (HSPA+와 CCC를 위한 무선망 설계 시스템의 구현)

  • Bae, Young-Ho;Kim, Byung-Woo;Lee, Seong-Choon
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.9 no.4
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    • pp.158-163
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    • 2010
  • KT will deploy HSPA+/CCC network in this year to handle data explosion. CCC is an evolutionary wireless network architecture which divides a node B into baseband and radio part. By collecting baseband units in a digital unit central station and installing only remote units on desired sites, the operator can reduce the total cost of ownership and $CO_2$ emission. In this paper, we describe some expected problems in deploying HSPA+/CCC network, and how to implement the wireless network planning system to solve them effectively.

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DESIGN EVALUATION OF NO SPIN DIFFERENTIAL MODELS USING THE AXIOMATIC APPROACH

  • Pyun, Y.S.;Jang, Y.D.;Cho, I.H.;Park, J.H.;Combs, A.;Lee, Y.C.
    • International Journal of Automotive Technology
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    • v.7 no.5
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    • pp.595-601
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    • 2006
  • Two No Spin Differential(NSD) models were benchmarked for a project of Dual-Use Technology. The Axiomatic approach is utilized to evaluate the designs of the models. The Independence Axiom is satisfied at the top level of design but not at the second level, which implies the design exhibits coupling and will admit design improvements. The detailed process of design evaluation is described. It is shown that it is possible to develop a unique and evolutionary NSD design by solving the problems that cause coupling within two models.

Model Infrared Spectra for Evolving Red Supergiants

  • Suh, Kyung-Won
    • Bulletin of the Korean Space Science Society
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    • 1993.04a
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    • pp.13-13
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    • 1993
  • The space and ground based infrared spectra of red supergiants are modeled and arranged in order of their evolutionary status with their theoretical model Parameters. Because of their large amplitude pulsation, the observational data taken at different phases show wide discrepancies. The chemical compositions of the dust shells around red supergiants are affected by the nuclearreactions and dredge-up processes of the cental stars. Those processes aresensitiTelr dependent on the initial ma:ss, the initial chemical coMposition,and the evolutionarr status. Miras, infrared carbon stars, and OHAR starshaTe a close link in their evolution iii many aspects, i.e. the chemicalcomposition, the optical depths and the mass loss rates. The evolutionarytracks for the three classes of red super91iants on infrared Huo-color diagamhave been constructed.

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Schema Co-Evolutionary Algorithm for Automatic Generation of fuzzy Rules (퍼지 규칙의 자동 생성을 위한 스키마 공진화 알고리즘)

  • 변광섭;이동욱;심귀보
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.353-356
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    • 2004
  • 비선형 시스템의 제어에서 널리 사용되는 방식이 퍼지 제어기이다. 퍼지 제어기에서 가장 중요한 것은 퍼지 룰의 설계이다. 퍼지 룰을 설계하는 많은 기법들이 제안되어 있는데, 최근 들어 진화 알고리즘에 대한 관심이 증가하고 있다 그 중에서도 공생적 공진화 알고리즘이 최적의 퍼지룰을 찾기 위해 이용되는데, 본 논문에서는 스키마 공진화 알고리즘을 이용한다. 스키마 공진화 알고리즘의 성능을 입증하기 위해, 이동 로봇의 행동제어를 위한 퍼지 제어기를 스키마 공진화 알고리즘을 이용하여 설계하고, 다른 공생적 공진화 알고리즘인 바이러스_진화 유전 알고리즘과 Handa의 공진화에 대해 비교하고 실험한다.

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Biological Network Evolution Hypothesis Applied to Protein Structural Interactome

  • Bolser, Dan M.;Park, Jong Hwa
    • Genomics & Informatics
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    • v.1 no.1
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    • pp.7-19
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    • 2003
  • The latest measure of the relative evolutionary age of protein structure families was applied (based on taxonomic diversity) using the protein structural interactome map (PSIMAP). It confirms that, in general, protein domains, which are hubs in this interaction network, are older than protein domains with fewer interaction partners. We apply a hypothesis of 'biological network evolution' to explain the positive correlation between interaction and age. It agrees to the previous suggestions that proteins have acquired an increasing number of interaction partners over time via the stepwise addition of new interactions. This hypothesis is shown to be consistent with the scale-free interaction network topologies proposed by other groups. Closely co-evolved structural interaction and the dynamics of network evolution are used to explain the highly conserved core of protein interaction pathways, which exist across all divisions of life.

Pattern Mining of Biological Data by Co-evolutionary Learning with Multi-populations (다중 개체 집단의 공진화적 학습에 의한 바이오 데이터의 패턴 마이닝)

  • Kim Soo-Jin;Joung Je-Gun;Zhang Byoung-Tak
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06a
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    • pp.46-48
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    • 2006
  • 현재 각 분야에서 다양한 실험 데이터가 산출되면서 이종(heterogeneous) 데이터간의 상관관계 분석에 대한 중요성이 더욱 부각되고 있다. 특히, 대규모 실험에 의해 급속하게 증가하고 있는 대량의 바이오 데이터에서 이런 문제를 해결하기 위한 새로운 데이터 마이닝 방법이 요구된다. 본 논문은 특성이 다른 두 데이터 셋에서 서로 상관관계가 있는 부분 패턴을 파악할 수 있는 새로운 알고리즘을 제안한다. 제안한 알고리즘은 다중 개체 집단을 유지하면서 상호간 공진화하는 확률적 진화컴퓨팅 방법에 기반하고, 전체의 탐색 포인트들을 분해하여 최적해를 찾는 점에서 장점을 가지고 있다. 실험 결과, 본 논문에서는 효모 유전자에 대한 발현 데이터와 모티프 데이터의 이종 데이터에 적용해 보았으며, 이러한 데이터에 있어서 주요 상관관계가 있는 패턴들을 추출한 결과를 제시한다.

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