• Title/Summary/Keyword: Evolve

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Wearable Computer (패션으로 만나는 컴퓨터)

  • Ahn, Young-Moo
    • Journal of Fashion Business
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    • v.11 no.4
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    • pp.173-182
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    • 2007
  • The concept of wearable computer says to be able to connect to network freely without restrict of place and time through the garment that contain the wire and circuit. Thereby we can realize the ubiquitous circumstances. Wearable computer plays a role of center in controlling the electronic equipments under the ubiquitous circumstances and also it will become the main stream of the future computer development. The current wearable computer displays ugly appearance by attaching the parts of computer on the garment instead of installing them in the box. However, as size of computer components are minimized and it's speed is getting faster, it is certain that wearable computer will evolve as fashionable computer, still retaining garment's original purpose such as fitting and fasion even though the computer is being installed to the clothing. This study reviewed about components, future market share, developed goods, human-being becoming cyborg, application area, restrict and on-going research of wearable computer.

Urban Uses of Underground Space around the World

  • Nelson, Suasn R.
    • Tunnel and Underground Space
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    • v.2 no.1
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    • pp.1-10
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    • 1992
  • As our global population grows each day, it is apparent that we must find new ways to provide space for habitation and the services necessary to support large urban areas. It is no longer advisable nor acceptable to continue to expand our cities on the surface, encroaching on valuable agricultural land and open space. We must also find ways to be more energy efficient in every aspect of our societies. Effective use of underground space can provide the space necessary to accommodate larger populations and the services necessary for their support in existing urban areas we can also find new ways to utilize underground facilities to improve urban efficiency and function. Underground technology has improved dramatically in the last two decades and continues to evolve to meet a great variety of applications. The confluence of available technology, economic feasibility, and greater acceptance of underground solutions with recognition of the need to change the ways we build and use out urban areas and their surrounding environment indicates that we are witnessing only the beginning of appropriate and innovative use of underground space future generations will indeed 'Think deep'.

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A Statistical Review on the Changes in the Elderly Living Arrangements in Chejoo-do for the Elderly Housing Supply (노인주택 공급을 위한 고령자가구구성의 변화에 관한 통계적 연구 -제주도를 중심으로-)

  • 배정인
    • Journal of the Korean housing association
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    • v.13 no.2
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    • pp.15-22
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    • 2002
  • This paper aims to analyze the changes in the living arrangements of the elderly in Chejoo-do for the elderly housing supply by using census data. The conclusions are as follows; The rate of living alone and living with spouse only of the elderly have been increasing. The trend in county was higher than that in city. Living alone rate of the elderly of Chejoo-do was higher than that of Korean average. Even in the oldest old, living alone rate has been increasing in Chejoo-do. It is a unique phenomenon in Korea and similar with U.S. In Chejoo-do, it is strongly required to evolve elderly housing by universal design for living alone elderly in county as well as for living alone elderly in city.

Behavior Analysis of Evolved Neural Network based on Cellular Automata

  • Song, Geum-Beom;Cho, Sung-Bae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.181-184
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    • 1998
  • CAM-Brain is a model to develop neural networks based in cellular automata by evolution, and finally aims at a model as and artificial brain,. In order to show the feasibility of evolutionary engineering to develop an artificial brain we have attempted to evolve a module of CAM-Brain for the problem to control a mobile robot, In this paper, we present some recent results obtained by analyzing the behaviors of the evolved neural module. Several experiments reveal a couple of problems that should be solved when CAM-Brain evolves to control a mobile robot. so that some modification of the original model is proposed to solve them. The modified CAM-Brain has evolved to behave well in a simulated environment, and a thorough analysis proves the power of evolution.

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Alignments of interacting haloes in the Horizon run 4 simulation

  • L'Huillier, Benjamin;Park, Changbom;Kim, Juhan
    • The Bulletin of The Korean Astronomical Society
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    • v.40 no.2
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    • pp.29.2-29.2
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    • 2015
  • Interactions such as mergers and flybys play a fundamental role in shaping galaxy morphology. We used the Horizon Run 4 cosmological N-body simulations to study the aligments of spins and shapes of interacting haloes as a function of the halo mass and large-scale density. Interactions preferentially occur in the plane of rotation, and in the direction of the major axis of prolate haloes, and the trajectories are preferentially radial and prograde. We found a very strong alignment of the shapes already at redshift as high as 4. The spins are initially unaligned or even anti-aligned, and become more and more aligned as the redshift decreases. The alignment signals are stronger and evolve more at lower densities, and mass plays a secondary role.

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Statistical Analysis of Fly-by interactions between Galaxies via Cosmological Simulations

  • An, Sung-Ho;Kim, Jeonghwan;Yun, Kiyun;Kim, Juhan;Yoon, Suk-Jin
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.2
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    • pp.51.2-51.2
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    • 2013
  • Galactic fly-by interactions are believed to be far more frequent than direct mergers, acting as hidden drivers of galaxy evolution. We perform a tree-particle-mesh code GOTPM, and investigate the statistical properties of the fly-by interactions as functions of halo masses and ambient environments. Based on the total energy of the two halos of interest, impulsive fly-by pairs are identified from eventual merger candidates. We find three obvious results as follows: (1) Halos in the high-dense environment experience more frequent mergers and fly-by encounters than those in the low-dense region; (2) In the massive halos, both merger and fly-by fractions evolve more dramatically with time than those in dwarfs; and (3) The fly-by fraction decreases as approaching the present epoch, in contrast to the increase of the merger fraction.

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Analysis of Blanking Process for Aluminium Foil by FEM (유한요소법에 의한 초박판 알루미늄 블랭킹 공정해석)

  • Lee, S.K.;Kim, J.;Kang, B.S.
    • Proceedings of the KSME Conference
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    • 2001.06c
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    • pp.498-501
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    • 2001
  • Blanking is one of the most frequently used processes in sheet metal forming. In this paper, attention is paid to the blanking simulation of aluminium foil with $20{\mu}m$ thickness which is used an anode in lithium-ion polymer battery. In order to study the shearing mechanism for the metallic foil, finite element analysis with Crockroft and Latham fracture criterion was performed. The objective of the present work is to evolve a methodology to obtain the optimum punch-die clearance for a given aluminium foil by the simulation of the blanking process using a general purpose FEM code.

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Co-Evolutionary Algorithms for the Realization of the Intelligent Systems

  • Sim, Kwee-Bo;Jun, Hyo-Byung
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.3 no.1
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    • pp.115-125
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    • 1999
  • Simple Genetic Algorithm(SGA) proposed by J. H. Holland is a population-based optimization method based on the principle of the Darwinian natural selection. The theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. Although GA does well in many applications as an optimization method, still it does not guarantee the convergence to a global optimum in some problems. In designing intelligent systems, specially, since there is no deterministic solution, a heuristic trial-and error procedure is usually used to determine the systems' parameters. As an alternative scheme, therefore, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve. In this paper we review the existing co-evolutionary algorithms and propose co-evolutionary schemes designing intelligent systems according to the relation between the system's components.

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Activities and Programs to Cultivate Mathematical Interest and Ability

  • Gardiner, Tony
    • Research in Mathematical Education
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    • v.12 no.4
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    • pp.293-299
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    • 2008
  • Young children have manifold potentialities. As any teacher or parent knows, a child's most obvious strengths contribute to their development in unexpected ways. A sporting or musical forte may provide an invaluable youthful opportunity to experience "the pursuit of excellence," but may then be laid aside. It is exceedingly rare for a strength which informed observers might "identify" at school level to develop in a predictable way. Most strengths blossom and are then laid aside, whilst some evolve sideways (for example, when the inner muse shies away from the required level of commitment, or takes fright at the miniscule prospects of success in the given field). In their place other strengths-which one may have noticed, but which were never "diagnosed" in the same way-take over and flourish.

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An Alternative Approach in Analyzing the Impacts of Online Feedback System;A Bayesian Inference Model

  • Yoo, Byung-Joon;Lee, Gun-Woong
    • 한국경영정보학회:학술대회논문집
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    • 2007.06a
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    • pp.395-400
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    • 2007
  • Previous studies present the mixed results on online reputation mechanism. In this study, we have found that an approach based on Bayesian statistics can explain most results of previous studies which are conflicting with each others. With this model, we explain why negative ratings have more significant marginal impacts on sellers' reputation than positive ones do. Furthermore, we even show why the feedbacks with a few negative ratings may increase the value of the item and final prices by confirming buyers' prior beliefs on the sellers' reputation much more than those without negative ratings. Also, we explain why there are not many negative ratings. Even though some studies suggest this because of generosity of users, our model shows that the reason is that the existence of FS itself prevents bad sellers from participating to the market as a signal itself. Even further, we show how this extreme tendency of positive ratings gets even stronger as markets evolve. Finally, to validate our analytical results, we examine the previous studies and see what factors effect the outcomes of their analyses.

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