• Title/Summary/Keyword: Knowledge Evolution

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WALLABY - the ASKAP HI All-Sky Survey

  • Oh, Se-Heon
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.2
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    • pp.235-235
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    • 2012
  • The "Widefield ASKAP L-band Legacy All-sky Blind surveY" (WALLABY) is an extragalactic HI survey which aims to examine HI properties and large-scale distribution of ~500,000 galaxies out to z ~ 0.27, covering a wide range of science goals associated with galaxy formation and evolution (P.I.: B. Koribalski & L. Staveley-Smith). The combination of ASKAP's exquisite column density sensitivity and a large primary beam will make it possible to systematically investigate the rarely explored low column-density HI in the universe. Ultimately, the largest and most homogeneous data set from WALLABY will drastically improve and broaden our knowledge on galaxy formation and evolution. ASKAP will be on-line in 2013, so to ensure timely and efficient reduction and analysis of the large WALLABY data set, we have been developing and testing reliable source finding tools and data analysis pipelines. In this talk I present recent progress of WALLABY, especially on the kinematic parameterisation pipeline for the spatially resolved galaxies detected by WALLABY.

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Evolutionary PSR Estimator for Classification of Sonar Target (소나표적의 식별을 위한 진화적 PSR 추정기)

  • Kim, Hyun-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.08a
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    • pp.149-150
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    • 2008
  • Generally, the propeller shaft rate (PSR) estimation algorithm for the classification of the sonar target has the following problems: it requires both accurate and efficient the fundamental finding method because it is essential and difficult to distinguish harmonic family from the frequency spectrum, and further, it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an evolutionary PSR estimation algorithm using an expert knowledge and the evolution strategy, is proposed. Simulation results show that the proposed algorithm effectively solves the problems in the realtime system application.

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How to optimize aesthetic outcomes in implant-based breast reconstruction

  • Nava, Maurizio Bruno;Catanuto, Giuseppe;Rocco, Nicola
    • Archives of Plastic Surgery
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    • v.45 no.1
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    • pp.4-13
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    • 2018
  • The evolution of breast reconstructive surgery keeps pace with the evolution of breast oncologic surgery. The reconstructive choice should always balance the optimal local control of disease and the best cosmetic result, reflecting an informed decision that is shared with the patient, who is always at the center of the decision-making process. Implant-based breast reconstruction following mastectomy represents a complex choice. In order to obtain optimal results, the following considerations are mandatory: thorough preoperative planning, a complete knowledge of the devices that are used, accurately performed surgery, and appropriate follow-up.

The Review the Mathematical model: Aspect of Geographic Agglomeration and Innovation (집적지의 성장에 대한 수리모형의 재 조명: Tomas Breuner와 Metcalf 논문 중심으로)

  • Han, Junghee
    • Journal of Industrial Convergence
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    • v.14 no.1
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    • pp.39-45
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    • 2016
  • This paper deals with the consideration of mathematical models with regards to growth of cluster and firms by reviewing the Metcalf and Breuner's articles. prior studies have been argued the phenomenon of local industrial clusters and districts. Several concepts have been adopted to support the success of and changes to these clusters and firm growth. Through the review of two papers, evolution of both cluster and firm growth may be achieved in terms of utilizations of the different local aspects and mechanisms. This paper supports the theoretical back bone with regards to the regional cluster policy implementing in Korea for the purpose of regional developments. In particular, a mathematical model that, on a more abstract level, captures the fundamental dynamic structure of all the observed mechanisms. On the basis of this model, the emergence and evolution of local clusters can be described. Also this model has given that the knowledge sharing between firms has an important role to firms and cluster' growth.

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African great apes (chimpanzee and gorilla) : feature, phylogeny and evolution (아프리카 대형 유인원(침팬지, 고릴라) : 특징, 계통 및 진화)

  • 홍경원;김희수
    • Journal of Life Science
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    • v.13 no.2
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    • pp.175-183
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    • 2003
  • The chimpanzee and gorilla are classified into hominidae, catarrhini, primates. These species are originated from Africa, so called African great apes. Recently, primatologists have classified that there are 2 species 5 subspecies of the chimpanzee and gorilla, respectively. Since the human genome project has been finished, the chimpanzee genome project has been launched to understand human evolution and genetic diseases. The sequences of chimpanzee chromosome 22 homologous to human chromosome 21 were completed, and then the Y chromosome of chimpanzee is being analyzed. Comparative analysis of human, chimpanzee and gorilla could provide the key for understanding of various human diseases and human origin. By detecting human specific-functional genes or mobile genetic elements (HERV, LINE, SINE) through primate research, we could understand what is human being\ulcorner gradually, For these comparative researches, we summarized fundamental knowledge of the feature, phylogeny and evolution of African great apes including humans.

Handwritten Digit Recognition with Softcomputing Techniques

  • Cho, Sung-Bae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.707-712
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    • 1998
  • This paper presents several softcomputing techniques such as neural networks, fuzzy logic and genetic algorithms : Neural networks as brain metaphor provide fundamental structure, fuzzy logic gives a possibility to utilize top-down knowledge from designer, and genetic algorithms as evolution metaphor determine several system parameters with the process of bottom up development. With these techniques, we develop a pattern recognizer which consists of multiple neural networks aggregated by fuzzy integral in which genetic algorithms determine the fuzzy density values. The experimental results with the problem of recognizing totally unconstrained handwritten numeral show that the performance of the proposed method is superior to that of conventional methods.

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MODERN COSMOLOGY: ASSUMPTIONS AND LIMITS

  • Hwang, Jai-Chan
    • Journal of The Korean Astronomical Society
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    • v.45 no.3
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    • pp.65-69
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    • 2012
  • Physical cosmology tries to understand the Universe at large with its origin and evolution. Observational and experimental situations in cosmology do not allow us to proceed purely based on the empirical means. We examine in which sense our cosmological assumptions in fact have shaped our current cosmological worldview with consequent inevitable limits. Cosmology, as other branches of science and knowledge, is a construct of human imagination reflecting the popular belief system of the era. The question at issue deserves further philosophic discussions. In Whitehead's words, "philosophy, in one of its functions, is the critic of cosmologies". (Whitehead 1925).

Towards a Improved Methodology for developing domain ontology (향상된 도메인 온톨로지 구축 방법 연구)

  • Liu Haitao;Kong Hyunjang;Kim Pankoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.11a
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    • pp.591-594
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    • 2004
  • Existing methodologies and practical ontology development experiences have explored a broad spectrum of knowledge management challenges. Each has its own characteristics and evaluates only a subset of specific domain. However, there is still no one 'correct' way or methodology for developing ontologies. In this paper, we described a methodology for domain driven ontology development, covering the whole lifecycle from the formalization of domain to the evolution of ontologies.

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Technopolis and Regional Development : A Review of Development Experience in Hsinchu, Taiwan

  • Hu, Tai-Shan;Lin, Chien-Yuan
    • World Technopolis Review
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    • v.2 no.2
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    • pp.50-63
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    • 2013
  • The Hsin-Chu Science-Based Industrial Park (HSIP), established in 1980, has made significant contribution to the development of Hsinchu technopolis. In the past three decades, not only the population structure and industrial patterns have changed significantly, but also a special knowledge-based industrial network has been developed. The 30 years experience of HSIP development provides an excellent opportunity for planners to review the long term impacts of science park development. This paper will review the evolution Hsinchu technopolis in areas of socioeconomic transformation and knowledge interactions between technology community and industrial clustering. In addition to the interpretation of its development by prevailing theories, critical factors influencing the future development of HSIP technopolis will also be discussed in this paper.

An Exploratory Research on the Accumulation of Basic Research Capability in the Newly Developing Countries (신흥공업국의 기초연구능력 축적과정의 특성에 대한 탐색연구 -한국 사례를 중심으로-)

  • Hwang, Hye-Ran
    • Journal of Korea Technology Innovation Society
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    • v.7 no.1
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    • pp.42-63
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    • 2004
  • Recent trend of rapid growth in the basic research activities in East-Asian newly industrialized countries bring about the change in the world knowledge production structure. Particularly, Korea showed the changing patterns not only in the number of publication, but also in the aspect of structural change of basic research activities. The stylized facts of basic research activities in Korea can be summarized in three aspects; first, selective development patterns, second, reverse pattern of evolution, and finally, the rapid growth of basic research activities in major firms. This paper analyse the evolutionary patterns of basic research activities in empirical base and propose the policy implication for supporting basic research activity in newly industrializing countries.

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