• Title/Summary/Keyword: Text features

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System Implementation for Mobile-Based Diagnostic Medical Image Service (모바일 진단의료영상 서비스를 위한 시스템 구현)

  • Kim, Yong-Soo;Jeon, Joonhyeon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.11
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    • pp.870-878
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    • 2013
  • The objective of this paper is to develop mobile-based PACS(Picture Archiving Communication System: mPACS) for diagnostic medical image service available via Android-based mobile smartphone. The proposed mPACS provides an integrated platform for mobile application of diagnostic medical images stored in hospital PACS, and allows the smartphone to store, retrieve, manipulate and transfer the diagnostic medical images. Then, the mPACS platform includes the following features for use in the Android framework (i. e., diagnostic medical image processing) : transfer protocols between PACS, mPACS and smartphone, image format converter, JPEG and JPEG2000 coders, text and avatar search, and etc. This mPACS is shown to be useful and effective in providing a solution for mobile-based diagnostic medical image service.

An Analytical Study of National and International Care Label Systems of Textile and Apparel Products

  • Sanad, Reham A.;Kang, Zi Young
    • Fashion & Textile Research Journal
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    • v.20 no.3
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    • pp.331-342
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    • 2018
  • This paper enables stakeholders involved in textile industry to gain an overview of standards used for care labelling and help establish a common standard that could be used as a universal standard. This study provides a comprehensive and detailed analytical study of care labelling standards adopted by common countries in the textile market. It was found that the development of a universal system for care labeling could enhance the trade of textile articles and assist consumers in caring for textile articles. Universal care label systems could be characterized by two main features of inclusiveness and comprehensiveness. The range of instructions and symbols presented were found different among standards. Insignificant differences in symbols' shapes were found between standards for bleaching, ironing and professional cleaning. The washing process had the widest variety of instructions; in addition, options were provided by stated standards. Different meanings were found for similar shapes in some tumble drying symbols. The study findings show the importance of enhancing text based standards or the development of an understandable format across as many cultures as possible. The unification of symbols and meanings may be needed to provide global consumers consistent guidance. The efficiency of a detailed standard that provides and covers a wide range of instructions is an important aspect. The visibility and practicality of offering variable options/symbols in one standard is an important aspect for developing a universal care label system.

A Distance Approach for Open Information Extraction Based on Word Vector

  • Liu, Peiqian;Wang, Xiaojie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.6
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    • pp.2470-2491
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    • 2018
  • Web-scale open information extraction (Open IE) plays an important role in NLP tasks like acquiring common-sense knowledge, learning selectional preferences and automatic text understanding. A large number of Open IE approaches have been proposed in the last decade, and the majority of these approaches are based on supervised learning or dependency parsing. In this paper, we present a novel method for web scale open information extraction, which employs cosine distance based on Google word vector as the confidence score of the extraction. The proposed method is a purely unsupervised learning algorithm without requiring any hand-labeled training data or dependency parse features. We also present the mathematically rigorous proof for the new method with Bayes Inference and Artificial Neural Network theory. It turns out that the proposed algorithm is equivalent to Maximum Likelihood Estimation of the joint probability distribution over the elements of the candidate extraction. The proof itself also theoretically suggests a typical usage of word vector for other NLP tasks. Experiments show that the distance-based method leads to further improvements over the newly presented Open IE systems on three benchmark datasets, in terms of effectiveness and efficiency.

A Study on automatic assignment of descriptors using machine learning (기계학습을 통한 디스크립터 자동부여에 관한 연구)

  • Kim, Pan-Jun
    • Journal of the Korean Society for information Management
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    • v.23 no.1 s.59
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    • pp.279-299
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    • 2006
  • This study utilizes various approaches of machine learning in the process of automatically assigning descriptors to journal articles. The effectiveness of feature selection and the size of training set were examined, after selecting core journals in the field of information science and organizing test collection from the articles of the past 11 years. Regarding feature selection, after reducing the feature set using $x^2$ statistics(CHI) and criteria that prefer high-frequency features(COS, GSS, JAC), the trained Support Vector Machines(SVM) performed the best. With respect to the size of the training set, it significantly influenced the performance of Support Vector Machines(SVM) and Voted Perceptron(VTP). However, it had little effect on Naive Bayes(NB).

The Acoustic Analysis of Korean Read Speech - with respect to the prosodic phrasing - (한국어 낭독체 문장의 음향분석 -바람과 햇님의 운율구 생성을 중심으로-)

  • Sung Chuljae
    • Proceedings of the KSPS conference
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    • 1996.02a
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    • pp.157-172
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    • 1996
  • This study aims to suggest some theoretical methodology for analysis of the prosodic patterns in Korean Read Speech. The engineering effort relevant to the phonetic study has focused to the importance of prosodic phrasing which may play a major role in analyzing the phonetic DB. Before establishing the prosodic phrase as the prosodic unit, we should describe the features of the boundary signal in a target sentence. With this in mind, the general characteristics of Read Speech and the ToBI(tones and Break Indices), which has been currently in vogue with respect to the prosodic labelling system were presented as the first step. The concrete analysis was carried out with the fable 'North Wind and the Sun' Korean version, where about 25 prosodic units were discriminated by perceptual approach for 5 subjects. Establishing various informations which can be used for deciding a boundary position systematically, we can proceed to the next, viz. acoustic analysis of prosodic unit. The most important which we primarily study for improving the naturalness of synthetic speech may be, at first, detecting the boundary signals in the speech file and accordingly reestablishment it within the raw text.

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Deconstructive Features of Headdress Found in Jean Paul Gaultier's Collection (Jean Paul Gaultier 컬렉션에 나타난 헤드드레스의 해체적 특성)

  • Kim, Sun-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.5
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    • pp.489-500
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    • 2012
  • This work surveys the trend and dissolution characteristics in headdress that appear in Jean Paul Gaultier's collection. Along with a related literature review, a total of 903 headdress pieces shown in collections 40 times (excluding the common caps and hats) were analyzed, covering from 2001S/S to 2010 F/W of Jean Paul Gaultier's Haute Couture and Pret-a-Porter. The headdress trend indicated in his collections was divided into such subgroup forms of folklore, usage of natural things, usage of artificial things, religion, retro, scarf, variations in headgear, mask and veil, atypical type and abstract. Such an expression tendency was so unique and mixed characteristic that it was hard to define its form and structure thanks to enlargement and exaggeration, extremity in ornaments, and use of foreign materials, which led to creative dynamics. Gaultier's headdress also reflected the following characteristics: first, expression of difference indicative of time deconstruction; second, uncertainty of meanings via deconstruction; third, text interactivity via deconstruction of gender and material adopted; fourth, decentralization through dissolution of the Orient and the Occident.

Automatic Extraction of Alternative Words using Parallel Corpus (병렬말뭉치를 이용한 대체어 자동 추출 방법)

  • Baik, Jong-Bum;Lee, Soo-Won
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.12
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    • pp.1254-1258
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    • 2010
  • In information retrieval, different surface forms of the same object can cause poor performance of systems. In this paper, we propose the method extracting alternative words using translation words as features of each word extracted from parallel corpus, korean/english title pair of patent information. Also, we propose an association word filtering method to remove association words from an alternative word list. Evaluation results show that the proposed method outperforms other alternative word extraction methods.

A Study on the Distinctive Features of "Hwangjenaegyeongtaeso(黃帝內經太素)" by Yang Sangseon and his Medical Theory ("황제내경태소(黃帝內經太素)"의 특징(特徵) 및 양상선(楊上善)의 의학이론(醫學理論)에 대한 연구(硏究))

  • Lee, Sang-Hyup;Kim, Joong-Han
    • Journal of Korean Medical classics
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    • v.22 no.2
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    • pp.35-69
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    • 2009
  • Yang Shangseon(楊上善)'s "Hwangjenaegyeongtaeso(黃帝內經太素)" was the first commentary book of "Hwangjenaegyeong(黃帝內經)", its importance often mentioned in level with Wang Bing (王冰)'s "Somun(素問)" "Yeongchu(靈樞)". The distinctive feature of Yang Sangseon(楊上善)'s commentary is that it is easy to comprehend in accordance with an organized classification, and that the explanations are simple and clear. Despite strict application of the Eumyang(陰陽, Yinyang) theory and Five phases[五行] theory throughout the text, should there be sentences which fall out of consistency with the basic theories, he added his own substantial commentary. His medical theory gives attention to the Meridian system[經絡], lays emphasis on developing the soul[神], and has a unique opinion about the Opening closing and pivot[開闔樞] theory along with the Myeongmun(命門). To explain the methods for preserving health[養生], he adopted the Nojang philosophy(老莊思想); to enrich the vitality he adopted the Buddhist philosophy(佛敎思想); and to analyze physiologic and pathogenic factors, he adopted the Confucian philosophy(儒家思想).

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Voice Activity Detection Algorithm using Wavelet Band Entropy Ensemble Analysis in Car Noisy Environments (프로세싱에서 삼각함수 공식을 응용한 장식적 타입페이스 제안)

  • Chun, Christine Hyeyeon
    • Journal of Korea Multimedia Society
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    • v.20 no.12
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    • pp.1992-1999
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    • 2017
  • This study proposes a decorative typeface which is produced through the concept of trigonometric functions in an open-source programming language known as Processing. First, the theoretical background of Processing and trigonometric functions as well as previous research in this area are analyzed. Second, basic modules of 'V', 'I', 'O', and 'M' were created for use as the final alphabet typeface with the concept of a trigonometric function. Third, a decorative parabolic curve that encircles the base module was created. Finally, the modules created on Processing were edited in Adobe Illustrator to create a typeface set with characters from A to Z. Various artworks using Programming can produce an infinite number of different versions by modifying only some of the variables and codes, and this method can include multimedia features such as text, images, videos, interactive art and various forms of content and media. Therefore, with regard to expression, the possibilities are endless. In this study, I attempt to expand the field of visual culture using programming and computational methodologies. In contrast to the digital typeface production method, which relies on existing graphic tools, this study is meaningful because it expands the range of use of decorative typefaces.

Korean Summarization System using Automatic Paragraphing (단락 자동 구분을 이용한 문서 요약 시스템)

  • 김계성;이현주;이상조
    • Journal of KIISE:Software and Applications
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    • v.30 no.7_8
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    • pp.681-686
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    • 2003
  • In this paper, we describes a system that extracts important sentences from Korean newspaper articles using automatic paragraphing. First, we detect repeated words between sentences. Through observation of the repeated words, this system compute Closeness Degree between Sentences(CDS ) from the degree of morphological agreement and the change of grammatical role. And then, it automatically divides a document into meaningful paragraphs using the number of paragraph defined by the user´s need. Finally. it selects one representative sentence from each paragraph and it generates summary using representative sentences. Though our system doesn´t utilize some features such as title, sentence position, rhetorical structure, etc., it is able to extract meaningful sentences to be included in the summary.