• 제목/요약/키워드: Classification society criteria

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효율적인 변압기 유중가스 분석 및 분류 방법 (Efficient Transformer Dissolved Gas Analysis and Classification Method)

  • 조윤정;김재영;김종면
    • 예술인문사회 융합 멀티미디어 논문지
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    • 제8권3호
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    • pp.563-570
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    • 2018
  • 본 논문에서는 기계학습 기반의 효율적인 변압기 유중가스 분석 및 분류 방법을 제안하여 기존 IEC 60599 진단기준 기반의 문제점을 해결하고 진단 성능을 개선한다. 기존 IEC 60599 진단기준은 조성비가 진단 기준에 존재하지 않거나 경계조건에 있는 경우 진단 전문가에게 의뢰하지 않고는 해석에 어려움이 있으며 진단영역이 겹치는 부분이 존재하므로 정확한 원인분석을 수행하는 데에 한계가 있다. 따라서 IEC 60599 진단 기준만으로 변압기 유중가스 데이터를 분석 및 분류하는 경우 IEC 60599 기준에 만족하지 않는 데이터를 분류하지 못한다는 문제점이 있다. 이와 같은 문제를 해결하기 위해 기계학습 기반의 변압기 유중가스 분석 및 분류 방법을 제안하였다. 제안한 기계학습 기반의 변압기 유중가스 분석 방법은 IEC 60599 진단기준으로 판단이 불가능한 데이터를 서포트 벡터 머신을 통해 정확히 분류 할 수 있다. 제안한 방법의 성능을 검증하기 위해 실제 유중가스 데이터를 사용하여 기계학습 기반의 변압기 유중가스 분석 방법의 효율성을 검증하였다.

전자 상거래에서 인터넷 쇼핑몰의 비지니스 평가 모델 (A Business Evaluation Model for Internet Shopping Mall in Electronic Commerce)

  • 박용진;한주윤;정봉주
    • 경영과학
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    • 제17권3호
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    • pp.97-118
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    • 2000
  • This paper proposes an evaluation model for internet shopping mall business by defining its characteristics and evaluation criteria. We analyzed the characteristics of internet shopping mall business environments and classified the business into four major categories. We derived the evaluation criteria which can evaluated all categories comprehensively. The proposed criteria are cost, netizen, technology, transaction, and marketing, each of which gives a significant impact on the business profitability. Based on these criteria, a quantitative evaluation method was developed. We also proposed a penta-classification scheme which can be used to identify the overall characteristics shape of each internet shopping mall business site. An actual application of our evaluation model was illustrated in order to show that our proposed model may be used in the real business sites.

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비즈니스 기능 중심 지식자산 분류체계에 따른 기업 지식관리 사례 탐색 (Exploring Corporate Knowledge Management Cases Based on Business Function Oriented Knowledge Asset Classification Schema)

  • 김인숙;최병구;이희석
    • 경영정보학연구
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    • 제3권2호
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    • pp.245-260
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    • 2001
  • While past knowledge management researches have focused on conceptualization and strategic implications, knowledge asset researches attempt to provide practical guidelines for companies. However, each research classifies knowledge asset from its own perspective, and thus it is not a trivial task to leverage consistent and inclusive criteria in managing corporate knowledge asset. The objective of this paper is to develop a knowledge asset classification schema on the basis of the three business functions: customer relationship management, product innovation, and infrastructure management. To demonstrate the feasibility of our schema, it has been applied to 9 Korean corporations. Knowledge assets are evaluated according to core capabilities, which are main drivers of sustainable competitive advantages. The results of case study show that the leveraged classification schema reflects current knowledge asset management and characteristics of corporations. Our finding is that most top-quality knowledge management corporations are likely to develop well-balanced knowledge asset.

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폐의 신경내분비 종양의 세침흡인 세포검사 소견 (Fine Needle Aspiration Cytologic Findings of Pulmonary Neuroendocrine Tumors)

  • 고재수
    • 대한세포병리학회지
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    • 제19권1호
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    • pp.9-15
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    • 2008
  • The major categories of neuroendocrine tumors of lung are typical carcinoid, atypical carcinoid, large cell neuroendocrine carcinoma, and small cell carcinoma. The histologic classification criteria of neuroendocrine tumors are well documented in the "WHO Classification of Tumors" based on mitotic figures and necrosis. Cytologic characteristics of neuroendocrine tumors are trabecular, acinar, and solid arrangement of tumor cells and occasional rosette formation. Nuclear chromatin patterns are characteristically described as "salt and pepper chromatin pattern". Many of cytologic classifications documented in the literature are before the "WHO Classification". In this review, the cytologic features of pulmonary neuroendocrine tumors are documented according to the WHO classification, and recent concepts of neuroendocrine tumors of lung are discussed.

Volumetric 3D Display: Features and Classification

  • Joonku Hahn;Woonchan Moon;Hosung Jeon;Minwoo Jung;Seongju Lee;Gunhee Lee;Muhan Choi
    • Current Optics and Photonics
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    • 제7권6호
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    • pp.597-607
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    • 2023
  • Volumetric 3D displays generate voxels to enable users to watch three-dimensional virtual objects from various angles, and they have a significant advantage over other types of 3D displays in terms of realism and the absence of vergence-accommodation conflict (VAC). By virtue of these advantages, various volumetric 3D display technologies incorporating novel approaches have been introduced competitively. As a result, the conventional classification criteria for volumetric 3D technology often fall short in categorizing these innovative methods. In this study, we present an improved classification framework capable of accommodating these new technologies. We expect that a new classification may offer some intuition to identify areas of technical deficiency and contribute to improving the technology.

인터넷중독 측정도구와 한국형 인터넷중독지표의 개발 (Development of Internet Addiction Measurement Scales and Korean Internet Addiction Index)

  • 박재성
    • Journal of Preventive Medicine and Public Health
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    • 제38권3호
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    • pp.298-306
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    • 2005
  • Objectives : To develop measurement scales of Internet addiction, and propose a Korean Internet Addiction Index (K-IAI) and classification criteria for Internet addiction from the threshold scores developed. Methods : The identification of the concept of 'Internet addiction' was based on the literature review. To select the scales, an exploratory factor analysis was applied. A construct validation was tested by a confirmatory factor analysis (CFA) with a structured equation model (SEM). In testing the validity of the classification criteria, ANOVA and non-recursive models with SEM were applied. Results : Out of 1,080 questionnaires distributed, 1,037 were returned,; a response rate of 96%. The Cronbach-$\alpha$ of all items was over 0.75. Using an exploratory factor analysis in the condition of a 6 factor constrain as the study model proposed, 23 of the initial 28 items were identified. In testing the discriminant and convergent validity of the selected 23 scales using CFA with SEM, the Internet addiction model explained about 93% of all variances of the data collected, and all the latent variables significantly explained the designated scales. A K-IAI was proposed using the T-scores of the sum of all factor averages. In the classification of users, the basic concept was a twostandard deviation approach of the K-IAI as the criteria of MMPI. The addiction group had a score ${\geq}70$ in the K-IAI, the pre-addiction group between ${\geq}50$ and <70, and the average user group <50. The Internet use times of the classified groups were statistically different in the ANOVA and multiple comparisons. Conclusions : The K-IAI is a reliable and valid instrument for measuring Internet addiction. Moreover, the taxonomy of the groups was also verified using various methods.

국내 보완대체의학 사용 실태조사 연구의 동향 분석 (Research Trend Analysis of the Prevalence of Complementary and Alternative Medicine in Korea)

  • 김슬기;이상훈;서현주;백승민;최선미
    • 대한한의학회지
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    • 제33권1호
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    • pp.24-41
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    • 2012
  • Objectives: This study reviewed research trends concerning the prevalence of complementary and alternative medicine (CAM) use and to suggest future research directions appropriate to medical circumstances in Korea. Methods: We searched for surveys of CAM use in 8 databases including 6 Korean databases, Ovid MEDLINE, and the CINAHL electronic database. Three independent reviewers working in pairs screened titles and abstracts of articles for eligibility. Full text was retrieved in case of disagreement on the eligibility. The main analysis targets included survey researcher's affiliation, terminology used in the title, study subject, definition of CAM, classifications of CAM modalities, and the area assortment of CAM and traditional Korean medicine (TKM). Results: 92 articles were included for analysis. The major constituent of affiliation was doctors (53%). According to years, study subjects were diversified to a large range of diseases. Since 2003, terminology is absorbed to use CAM. But actually, the most commonly used definition in the research was comprehensive such as "not generally considered part of major medicine" (55.4%) and the most used classification of CAM was self-criteria (61.9%). As for area assortment of CAM and TKM, many therapies exist in a gray zone between CAM and TKM. Conclusions: Standardized definition and classification criteria about CAM fit to the Korean healthcare system have not yet developed. For traditional Korean medicine academia, more concern should be paid to establishing appropriate development of definitions and classification criteria.

Proposal on Guideline for Quality Assurance of Radiation Treatment Planning System

  • Oh, Yoonjin;Shin, Dong Oh;Kim, Juhye;Kwon, Nahye;Lee, Soon Sung;Choi, Sang Hyoun;Ahn, Sohyun;Park, Dong-wook;Kim, Dong Wook
    • 한국의학물리학회지:의학물리
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    • 제28권4호
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    • pp.197-206
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    • 2017
  • We develop guidelines for the quality assurance of radiation treatment planning systems (TPS) by comparing and reviewing recommendations from major countries and organizations, as well as by analyzing the AAPM, ESTRO, and IAEA TPS quality assurance guidelines. We establish quality assurance items for acceptance testing, commissioning, periodic testing, system management, and security, and propose methods to perform each item within acceptable standards. Acceptance includes tests of hardware and network environments, data transmission, software, and benchmarking as specified by the system supplier, and apply the IAEA classification criteria. Commissioning includes dosimetric and non-dosimetric items for assessing TPS performance by applying the AAPM classification criteria and the latest technical items from the IAEA. Periodic quality assurance tests include daily, weekly, monthly, yearly, and occasional items by applying the AAPM classification criteria. System management and security items include the state and network connectivity of TPS, periodic data backup, and data access security. The guidelines for TPS quality assurance proposed in this study will help to improve the safety and quality of radiotherapy by preventing incidents related to radiotherapy.

노년여성의 족저 형태에 따른 인솔 패턴 개발 연구 (Development of Insole Pattern Depending on the Footprint Shape of Elder Women)

  • 이지은;권영아
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2008년도 추계학술대회
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    • pp.122-125
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    • 2008
  • Even though many researchers studied the foot shape and dimension, those applications lacked. The purpose of this study was to develop insole pattern of elderly women according to footprint. Discrepancy in the classification criteria among of foot parameters complicates attempts for elderly women classification of foot sole. To develop a footprint-based classification technique for the classification of foot sole types by allowing simultaneous use of several parameters. Foot sole data from static standing footprints were recorded from 48 elderly women. The factors of footprint shape were determined. Cluster analysis was applied to obtain individual foot sole classifications. The classification model of foot insole is proposed for a classification of footprint in elderly women. An application of ANOVA, Duncan's analysis, frequency analysis, factor analysis, and cluster analysis have been made to footprint data. In order to make clear foot sole characteristics, the factors of footprint shape have been discussed. The results are as follows. The factors of footprint shape have been classified into four types: foot length, sole slope, outside sole slope, and foot width. The types of foot sole shape have been classified into four types: longed, shortened, outside sloped, and toes sloped.

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Dynamic Text Categorizing Method using Text Mining and Association Rule

  • Kim, Young-Wook;Kim, Ki-Hyun;Lee, Hong-Chul
    • 한국컴퓨터정보학회논문지
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    • 제23권10호
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    • pp.103-109
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    • 2018
  • In this paper, we propose a dynamic document classification method which breaks away from existing document classification method with artificial categorization rules focusing on suppliers and has changing categorization rules according to users' needs or social trends. The core of this dynamic document classification method lies in the fact that it creates classification criteria real-time by using topic modeling techniques without standardized category rules, which does not force users to use unnecessary frames. In addition, it can also search the details through the relevance analysis by calculating the relationship between the words that is difficult to grasp by word frequency alone. Rather than for logical and systematic documents, this method proposed can be used more effectively for situation analysis and retrieving information of unstructured data which do not fit the category of existing classification such as VOC (Voice Of Customer), SNS and customer reviews of Internet shopping malls and it can react to users' needs flexibly. In addition, it has no process of selecting the classification rules by the suppliers and in case there is a misclassification, it requires no manual work, which reduces unnecessary workload.