• Journal of Plant Biology
• /
• 제26권3호
• /
• pp.151-160
• /
• 1983

Structuer, ontogeny, classification and taxonomic significance of trichomes have been studied in 39 genera and 125 species of the selected families in Malvales. They were studied on both vegetative and floral organs. There are nine types of eglandular and eight of glandular trichomes. The trichomes were classified on the basis of their form, structure and contents. All of them originated from a single papillate hair initial. According to the trichome data, the Malvales was comfirmed as a natural order with 5 homogenous families: Malvaceae, Bombacaceae, Sterculiaceae, Tiliaceae, and Elaeocarpaceae.

• 전자공학회논문지B
• /
• 제31B권12호
• /
• pp.100-107
• /
• 1994

This article describes the hardware design scheme of Hamming MAXNET algorithm which is appropriate for binary pattern classification with minimum HD measurement between stimulus vector and storage vector. Circuit integration is profitable to Hamming MAXNET because the structure of hamming network have a few connection nodes over the similar neuro-algorithms. Designed hardware is the two-layered structure composed of hamming network and MAXNET which enable the characteristics of low power consumption and fast operation with biline volgate sensing scheme. Proposed Hamming MAXNET hardware was designed as quantize-level converter for simulation, resulting in the expected binary pattern convergence property.

• 한국비블리아학회지
• /
• 제11권2호
• /
• pp.25-38
• /
• 2000

지식 분류는 그 대상 목적 시대, 지역, 학자에 따라 각기 다른 지식 체계의 유형을 제시하고 있다. 그러나 지식분류의 내용을 살펴보면, 지식의 표현 방식이 다르고 지식표현의 배열이 우선 순위로 차이가 있을 뿐이지, 그 시대나 지역에서 내용의 류구분은 별다른 차이가 없음을 알 수 있다. 지식분류나 문헌분류는 그 시대의 사회적 구조를 반영하는 형태를 취하며 그 시대의 사회철학에 의하여 결정된다고 볼 수 있다. 과거의 지식 체계의 기본 골격은 고대에 형성된 후 계속해서 변화해 왔다. 이 변화의 과정에서 학문의 발전은 다른 학문 분야를 형성시켜 전체 학문 체계의 변천에 중요한 역할을 하였다. 앞으로도 이러한 발전은 계속해서 일어나 많은 새로운 분야의 지식이 나타날 것이며 지식분류의 한자리를 차지하게 될 것이다.

• 한국콘텐츠학회논문지
• /
• 제2권1호
• /
• pp.68-76
• /
• 2002

클러스터링은 부품 분류의 대표적인 방법인데, 클래스나 모듈의 응집도와 결합도를 이용한 기존의 클러스터링 방법은 클래스간의 관계에 중점을 둔 디자인 패턴을 기존의 클러스터링 방법을 이용하는 것은 효과적일 수 있다. 본 논문에서는 디자인 패턴을 분류하기 위해 패턴 구조의 특성을 가지고 분류하였다. 그리고 클러스터링에 의한 분류는 패싯 분류에 의한 방법보다 높은 정확도를 보여주었다. 따라서 자동화된 분류방법인 클러스터링 알고리즘을 사용하여 디자인 패턴을 분류하는 것이 효과적이라 할 수 있다. 디자인 패턴의 분류는 검색 시 유사한 패턴들이 같은 카테고리에 저장이 되므로 유사 패턴을 비교하여 사용할 수 있으며, 패턴 클러스터링에 의해 분류되고, 패턴의 링크정보를 이용하여 저장하므로 저장소를 효율적으로 관리할 수 있다.

• 한국문헌정보학회지
• /
• 제14권
• /
• pp.19-65
• /
• 1987

Library classification schedule IS based on the classification theory, principle and the system of the classification of science. It should be consisted of the basic principle of library classification which should use the library materials effectively. Continuous study and research on the each subject field of the discipline are essential for keeping up with the transformation of each learning field and the change of modern society. In this paper, I studied comparatively the sections and subsections of the management in KDC, DDC and NDC and reviewed the academic systems of each subject area in the management. I tried to compare the relationship beween the structure of library classifications and academic systems for the more specialized subsections of the management. KDC is influenced by the principle and structure of DDC, but I found that KDC is more similar to NDC than DDC in the sections and subsections of the management. Being un sufficient of subsections of KDC and NDC, they are not enough for the expansion and specialization of the subsections in the management. DDC is necessary to re-schedule for the proper expansion of 650 and 658 with reflection of the importance of that sections and academic systems. In this study, I adoped 9 sections of management, (1) Management policy (2) Administrative organization (3) Personnel (4) Office management and business information management (5) Marketing (6) Financial management (7) Production management (8) Accounting (9) International management. It would be necessary for us to study continuously about the specilized subsubsections of the management for the more professional classification.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2008년도 추계학술대회 논문집 전력기술부문
• /
• pp.360-362
• /
• 2008

Based on classification systems of power and IT standard dictionaries, scientific and technological standard, SPARK, power IT fields of IEC and organization units of corporations, we propose a new classification system for the standardization of power of terminologies. The classification system consists of a hierarchical structure with general classification, application fields and specific technologies while keeping the conventional matrix-type classification system. Interpretation work of the power of terminologies confirms that the proposed classification system is efficient.

• 한국도서관정보학회지
• /
• 제40권4호
• /
• pp.401-425
• /
• 2009

이 연구는 건축공학 분야의 학문체계와 KDC, DDC, LCC의 분류체계 및 한국연구재단의 연구분야분류표의 건축공학 분야의 분류체계에 대해 비교 분석한 후, 이를 토대로 KDC 건축공학 분야의 분류체계를 개선할 수 있는 방안을 제시하고자 시도하였다. 분석결과 KDC 제5판의 건축공학 분야는 학문발전의 추세를 반영하는 분류항목의 추가, 건축구조공학 분야의 등위류 분류용어의 적절한 전개, 세부 주제의 추가 전개, 적절한 분류용어의 선택, 분류기호, 영문표기의 오류, 분류항목의 상관색인 누락 등에 대한 개선이 필요한 것으로 나타났다. 이 연구에서는 이러한 문제들을 해결하기 위한 개선 방안을 제시하였다.

• IEIE Transactions on Smart Processing and Computing
• /
• 제6권1호
• /
• pp.53-59
• /
• 2017

Optical character recognition (OCR) automatically recognizes text in an image. OCR is still a challenging problem in computer vision. A successful solution to OCR has important device applications, such as text-to-speech conversion and automatic document classification. In this work, we analyze character recognition performance using the current state-of-the-art deep-learning structures. One is the AlexNet structure, another is the LeNet structure, and the other one is the SPNet structure. For this, we have built our own dataset that contains digits and upper- and lower-case characters. We experiment in the presence of salt-and-pepper noise or Gaussian noise, and report the performance comparison in terms of recognition error. Experimental results indicate by five-fold cross-validation that the SPNet structure (our approach) outperforms AlexNet and LeNet in recognition error.

• 대한인간공학회지
• /
• 제31권4호
• /
• pp.493-498
• /
• 2012

Objective: The purpose of this study is to suggest the hierarchical structure with three layers of input task, input interaction, and input device. Background: Understanding the input interaction is very helpful to design an interface design. Method: We made a model of three layered input structure based on empirical approach and applied to a gesture interaction in TV. Result: We categorized the input tasks into six elementary tasks which are select, position, orient, text, and quantify. The five interactions described in this paper could accomplish the full range of input interaction, although the criteria for classification were not consistent. We analyzed the Microsoft kinect with this structure. Conclusion: The input interactions of command, 4 way, cursor, touch, and intelligence are basic interaction structure to understanding input system. Application: It is expected the model can be used to design a new input interaction and user interface.

• 한국CDE학회논문집
• /
• 제8권2호
• /
• pp.122-132
• /
• 2003

STEP AP218 has a standard schema to represent the structural model of a midship section. While it helps to exchange ship structural models among heterogeneous automation systems, most shipyards and classification societies still exchange information using 2D paper drawings. We propose a feature parameter input method to generate a 3D STEP model of a ship structure from 2D drawings. We have analyzed the ship structure information contained in 2D drawings and have defined a data model to express the contents of the drawing. We also developed a QUI for the feature parameter input. To translate 2D information extracted from the drawing into a STEP AP2l8 model, we have developed a shape generation library, and generated the 3D ship model through this library. The generated 3D STEP model of a ship structure can be used to exchange information between design departments in a shipyard as well as between classification societies and shipyards.