• Title/Summary/Keyword: 구조적 패턴 특징

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Development of the Automobile Industry and Capitalism in Korea (한국자본주의와 자동차산업의 전개)

  • Kim, Jung-Ihl
    • The Journal of the Korea Contents Association
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    • v.8 no.9
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    • pp.226-233
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    • 2008
  • The objective of this study is to use the Korean Automobile Industry to exemplify typical problems with Korean capitalism by studying the structural characteristics of the Asian New Industrialization movement and analyzing the establishment and reorganization of the Korean Big Three System. Through comparative analysis taken from previous research, it was found that the Asian New Industrialization movement emphasized not only exports also but also included the importing of parts to Japan. Additionally, the pattern of development, technical accumulation, and other characteristics of the automobile industry were analyzed from the perspective of the Asian New Industrialization movement. Since the start of this movement is closely associated with the history of Korean capitalism, we have also analyzed the structural characteristics of the Korean New Industrialization movement. Through this analysis, that the study clearly shows that the Korean Automobile Industry has the framework characteristics of the Asian New Industrialization movement.

Structure and Variability of the Isolation Calls of Juvenile Oriental Discoloured Bats (Vespenilio superans) from Korea (안주애기 박쥐 (Vespenilio superans) 새끼의 Isolation Call의 구조와 변화)

  • 서병희;박시룡
    • The Korean Journal of Zoology
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    • v.35 no.2
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    • pp.226-230
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    • 1992
  • 5마리의 안주애기박쥐(Vespenilio superons) 새끼들의 Isolation call에 대해 연구를 하였다. 이들의 소리는 각각의 unit(2-9)로 구성되어 있으며 연결음을 내고 있다. 배음의 unit가운데 기본음의 주파수 범위는 5-23 kHz에 놓여 있다. 주파수 변조 패턴에 따라 대개의 unit들은 2타임으로 분류되나, 개체적 변이가 발견되었다. 새끼들의 소리는 개체마다 특징적으로 나타났다. (unit 수/call, 사용된 unit 유형, 주파수 범위 ); 이들의 전형적인 유형은 발달 과정을 통해 고유한 소리로 나타났다.

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A Study on Information Architecture & User Experience of the Smartphone (스마트폰의 정보구조와 사용자경험)

  • Lee, Young-Ju
    • Journal of Digital Convergence
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    • v.13 no.11
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    • pp.383-390
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    • 2015
  • In this study it placed the object of the present invention is to provide a more efficient user interface experience to analyze the structure information and the user experience when using the pattern of the search with the number of intended use of the smart phone. Naver and Daum were the results of the study will consist of 28 dogs and 15 each category Naver and Daum had both a top-down sequential structure. In the case of Naver it has raised the possibility of cognitive load through the use of duplicate content and excessive scrolling news Daum has been in the case of shopping categories at the bottom of this error was raised the possibility of using touch gestures.

Iris Pattern Recognition for Personal Identification and Authentication Algorithm (개인확인 및 인증 알고리즘을 위한 홍채 패턴인식)

  • Go, Hyoun-Joo;Lee, Sang-Won;Chun, Myung-Geun
    • The KIPS Transactions:PartC
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    • v.8C no.5
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    • pp.499-506
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    • 2001
  • In this work, we present an iris pattern recognition method as a biometrically based technology for personal identification and authentication For this, we propose a new algorithm for extracting an unique feature from the iris of the human eye and representing this feature using the discrete Walsh-Hadamard transform. From the computational simplicity of the adopted transform, this can perform the personal identification and authentication in a fast manner to accomplish the information security.

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A Study of the Relations between the Furnace and Housing structure - Focusing on The Honam Area - (원시$\cdot$고대의 노시설과 주거구조와의 상관성 연구 - 호남지역을 중심으로 -)

  • Lee Min-seok
    • KOMUNHWA
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    • no.62
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    • pp.29-58
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    • 2003
  • It has been well known that the function of the furnace is to cook, to heat, and to light. Especially, it is easy to grasp relations between the furnace forms and the dwelling structure because the furnace was a part of the most important housing culture.

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Feature Extraction of Asterias Amurensis by Using the Multi-Directional Linear Scanning and Convex Hull (다방향 선형 스캐닝과 컨벡스 헐을 이용한 아무르불가사리의 특징 추출)

  • Shin, Hyun-Deok;Jeon, Young-Cheol
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.3
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    • pp.99-107
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    • 2011
  • The feature extraction of asterias amurensis by using patterns is difficult to extract all the concave and convex features of asterias amurensis nor classify concave and convex. Concave and convex as important structural features of asterias amurensis are the features which should be found and the classification of concave and convex is also necessary for the recognition of asterias amurensis later. Accordingly, this study suggests the technique to extract the features of concave and convex, the main features of asterias amurensis. This technique classifies the concave and convex features by using the multi-directional linear scanning and form the candidate groups of the concave and convex feature points and decide the feature points of the candidate groups and apply convex hull algorithm to the extracted feature points. The suggested technique efficiently extracts the concave and convex features, the main features of asterias amurensis by dividing them. Accordingly, it is expected to contribute to the studies on the recognition of asterias amurensis in the future.

Establishment Moving Picture & Recover of Image Eliminated Overlap Pixel using Picture Resemblance pattern (닮은패턴을 이용한 중첩영상 소거 동영상 화면복원법)

  • Jin, Hyun-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.29-35
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    • 2012
  • In this paper, it is presented the method of image recovering which existing is only pixel processing, but suggesting method is concluding image clustering overlap degree after classfying around unit fixel to crowd pixel. Concluding overlap degree threshold value is after identifying pattern pixel and grasping geometry structure of sample pattern and deduction of deciding function. distinguishing feature space is above four dimension is reason of not visual observation of pattern structure. consideration of distribution structure is distance of center of crowd pixel, the number of each crowd pattern pixel and standard deviation. The over threshold value elimate the overlap image and the downward is recovered and established dynamic image. memory storage deduction of 20% and elevation of 15% performance is estimated in recovery of image.

Postprocessing Algorithm of Fingerprint Image Using Isometric SOM Neural Network (Isometric SOM 신경망을 이용한 지문 영상의 후처리 알고리듬)

  • Kim, Sang-Hee;Kim, Yung-Jung;Lee, Sung-Koo
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.5
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    • pp.110-116
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    • 2008
  • This paper presents a new postprocessing method to eliminate the false minutiae, that caused by the skelectonization of fingerprint image, and an image compression method using Isometric Self Organizing Map(ISOSOM). Since the SOM has simple structure, fast encoding time, and relatively good classification characteristics, many image processing areas adopt this such as image compression and pattern classification, etc. But, the SOM shows limited performances in pattern classification because of it's single layer structure. To maximize the performance of the pattern classification with small code book, we a lied the Isometric SOM with the isometry of the fractal theory. The proposed Isometric SOM postprocessing and compression algorithm of fingerprint image showed good performances in the elimination of false minutiae and the image compression simultaneously.

A Single-End-Point DTW Algorithm for Keyword Spotting (핵심어 검출을 위한 단일 끝점 DTW알고리즘)

  • 최용선;오상훈;이수영
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.3
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    • pp.209-219
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    • 2004
  • In order to implement a real time hardware for keyword spotting, we propose a Single-End-Point DTW(SEP-DTW) algorithm which is simple and less complex for computation. The SEP-DTW algorithm only needs a single end point which enables efficient applications, and it has a small wont of computations because the global search area is divided into successive local search areas. Also, we adopt new local constraints and a new distance measure for a better performance of the SEP-DTW algorithm. Besides, we make a normalization of feature same vectors so that they have the same variance in each frequency bin, and each frame has the same energy levels. To construct several reference patterns for each keyword, we use a clustering algorithm for all training patterns, and mean vectors in every cluster are taken as reference patterns. In order to detect a key word for input streams of speech, we measure the distances between reference patterns and input pattern, and we make a decision whether the distances are smaller than a pre-defined threshold value. With isolated speech recognition and keyword spotting experiments, we verify that the proposed algorithm has a better performance than other methods.

A Region Splitting Strategy for Spatial Access Structures Using Transformation Techniques (변환기법을 이용한 공간 액세스 구조의 영역분할 전략)

  • Yoon, Dong-Ha;Lee, Jong-Hak
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.04a
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    • pp.109-112
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    • 2002
  • 물리적 데이터베이스 설계기법은 최적의 질의처리 성능을 제공하기 위하여 데이터베이스의 액세스 구조를 결정하는 과정이다. 본 논문에서는 변환기법을 이용한 공간 액세스 구조의 물리적 데이터베이스의 설계를 위한 영역분할 전략을 제시한다. 변환기법을 이용한 공간 액세스 구조는 원공간(original space)에서의 공간 객체들을 공간의 차원을 두 배로 하는 변환공간(transformation space)내의 점 객체들로 변환하여 관리하는 방법이다. 먼저, 원공간에 주어지는 모든 공간 질의가 변환공간에서는 한가지 형태의 범위 질의로 변환되는 특징이 있음을 보인다. 그리고, 변환공간상에서 이 범의 질의가 위치하는 질의 영역의 모양과 데이터 페이지가 위치하는 페이지 영역의 모양 사이의 관련성을 이용하여 질의처리의 성능을 향상시킬 수 있는 영역분할 전략을 제안한다. 성능평가의 결과에 의하면, 주어진 질의 패턴에 따라 최적의 공간 액세스 구조를 구성할 수 있었으며, 이차원 원공간에 대한 사차원 변환 공간인 경우에 질의의 형태에 따라 질의처리의 성능이 다섯배 이상까지 향상되었다.

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