• Title/Summary/Keyword: Font Data

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Clustering Korean Stock Return Data Based on GARCH Model (이분산 시계열모형을 이용한 국내주식자료의 군집분석)

  • Park, Man-Sik;Kim, Na-Young;Kim, Hee-Young
    • Communications for Statistical Applications and Methods
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    • v.15 no.6
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    • pp.925-937
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    • 2008
  • In this study, we considered the clustering analysis for stock return traded in the stock market. Most of financial time-series data, for instance, stock price and exchange rate have conditional heterogeneous variability depending on time, and, hence, are not properly applied to the autoregressive moving-average(ARMA) model with assumption of constant variance. Moreover, the variability is font and center for stock investors as well as academic researchers. So, this paper focuses on the generalized autoregressive conditional heteroscedastic(GARCH) model which is known as a solution for capturing the conditional variance(or volatility). We define the metrics for similarity of unconditional volatility and for homogeneity of model structure, and, then, evaluate the performances of the metrics. In real application, we do clustering analysis in terms of volatility and structure with stock return of the 11 Korean companies measured for the latest three years.

An implementation of the mixed type character recognition system using combNET (CombNET 신경망을 이용한 혼용 문서 인식 시스템의 구현)

  • 최재혁;손영우;남궁재찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.12
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    • pp.3265-3276
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    • 1996
  • The studies of document recongnition have been focused mainly on Korean documents. But most of documents composed of Korean and other characters. So, in this paper, we propose the document recognition system that can recognize the multi-size, multi font and mixed type characters. We have utilized a large scale network model, "CombNET" which consists of a 4 layered network with combstructure. And we propose recognition method that can recognize characters without discrimination of character type. The first layer constitutes a Kohonen's SOFM network which quantizes an input feature vector space into several sub-spaces and the following 2-4 layers constitutes BP network modules which classify input data in each sub-space into specified catagories. An experimental result demonstrated the usefulness of this approach with the recognition rates of 95.6% for the training data. For the mixed type character documents we obtained the recognition rates of 92.6% and recognition speed of 10.3 characters per second.

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A STUDY OF RESIDUAL IMAGE IN CHARGED-COUPLED DEVICE (CCD 잔존영상 분석)

  • Jin, Ho;Lee, C.U.;Kim, S.L.;Kang, Y.B.;Goo, J.L.;Han, W.
    • Journal of Astronomy and Space Sciences
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    • v.22 no.4
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    • pp.483-490
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    • 2005
  • For an image sensor CCD, electrons can be trapped at the front-side $Si-SiO_2$ surface interface in a case of exceeding the full well by bright source. Residual images can be made by the electrons remaining in the interface. These residual images are seen in the font-side-illuminated CCDs especially. It is not easy to find a quantitative analysis for this phenomenon in the domestic reports, although it is able to contaminate observation data. In this study, we find residual images iB dark frames which were obtained from the front-side-illuminated CCD at Mt. Lemmon Optical Astronomy Observatory (LOAO), and analyze the effect to contaminated observation data by residual charges.

The fashion brand logo development and design application - Focused on L fashion - (패션브랜드 로고 개발과 디자인 적용 - L패션을 중심으로 -)

  • Shin, Nam-Jin;Lee, Keum-Hee
    • The Research Journal of the Costume Culture
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    • v.20 no.5
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    • pp.679-694
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    • 2012
  • The purpose of this study was to develop a logo type for a new fashion brand and to present design cases that apply the relevant logo type to suggest an advisable direction for logo design. This study analyzed the logo designs of domestic and foreign fashion brands and used the data to develop a logo type for a brand name that reflects the concept of the newly launched brand, in addition to presenting the relevant design process and method. Besides a literature review, this study conducted case analyses of domestic and foreign fashion brand logos. This is an empirical study in which researchers developed a logo type and presented designs that applied it. The research results are as follows. The brand name of the new L Fashion brand in Korea is 'LEAY'. This study developed a logo using the initials L, E, A, and Y, each standing for life, love, and liberty; esteem, eternity; act, art; and youth. The Caslon type font, which evokes a casual yet modern sentiment, was used for the design. Cleats and zippers, which are decorative subsidiary materials used in labels, tags, shopping bags, clothing, and props, were applied in the design of the developed logo type. All design cases was produced into articles. The case of fashion brand logo design and development presented in this study implies that the development of fashion brand logos and the logo-applied product design must be tied to the launching and planning process; thus, logo development must be based on the brand concept in relation to the market entry strategy that satisfies both producers and customers.

Analysis of Muscle Contribution on Snatch Motion (역도 인상동작에 대한 근력의 기여도 분석)

  • Kang, Chan-Keum;Park, Eun-Hye
    • Korean Journal of Applied Biomechanics
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    • v.13 no.3
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    • pp.265-276
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    • 2003
  • The objective of this research is to provide basic data for improving athletic performances, suggesting methods that can be utilized at games and coaching movements in the snatch, by analyzing the level of contribution of muscles to the movements of the snatch lift through three-dimensional imaging and EMG analysis between skilled and unskilled lifters. To this end, three high school students (the skilled group), three middle school student (the unskilled group) were selected; two digital video cameras and electromyography were used. The muscles measured by an EMG include gastrocnemius muscle, biceps femoris muscle, erector spinae, latissimus dorsi muscle, trapezius muscle, and brachioradialis. Based on the Ariel Performance Analysis System (APAS) program, the results of the analysis are summarized as follows. 1. In performing snatch pulls, the skilled lifters were found to simultaneously move the weight centers of the body and the barbell close to vertical, close to the shoulders in the pulling portion; in snatching and grabbing the barbell from a sited position, it was observed that the shorter the time for adjusting to change in the height of the barbell by using rotational inertia, the better it is to perform the movements. 2. The skilled lifters were observed to perform stable and efficient movements in grabbing the bar in a sited position, by moving the barbell and weight center of the body close to vertical and moving the shoulder joint under the bar fast. 3. The results of the EMG analysis of the entire movements from the snatching portion to the portion of grabbing the bar in a sited position show that when the skilled lifters lifted the barbell vertically during the pulling portion, their shoulder joints were extended to put more weight on biceps femoris muscle and brachioradialis; and in snatching and grabbing the bar from a sited position, it was found desirable to increase the myoelectrical activity of erector spinae in order to achieve a balance in the movements of the hip joint between font and rear, as the weight centers of the body and the barbell move higher. On the other hand, the unskilled lifters were found that in response to change in posture, they increase their muscular strength inefficiently in performing the movements throughout the entire lifting process.

A Study on the online of PDF Electronic Documents System (인터넷 원거리출판의 응용과 PDF의 인쇄활용에 관한 연구)

  • 유영수;강영립;김병현;이광수
    • Proceedings of the Korean Printing Society Conference
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    • 2001.06a
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    • pp.63-77
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    • 2001
  • PDF(Portable Document Format) is a file format that Adobe advances postscritp technique and use in managing document information or electric publishing(internet, CD-ROM, DVD). PDF is a devised document type for being able to read and print anywhere, independent of OS, printer type, resolution, and the kind of computer etc. Because this includes a compressing function, it transfers document through a small size of file in internet or intranet. In addition, that is a file format has various advantages-sharing of information and transfering documents in on line or off line environment. In this paper, we developed electronic document system using PDF format. Electronic document system consists of filter, automatic indexing, special searching system and web server. The information used in this paper is database made using Zwon\`s DocuCom. The filter recognizes various kinds of document structure. And according to property of document, it produces ASCII output. In addition to processing various formats of document, the filter can extract keywords in documents of MS WORD, Excel, Powerpoint, PDF, CAD etc. This filter uses the structure of window printer drive and can extract the information for text, page, font type and size from relevant document. The automatic indexing recognizes the formatted tag of document form ASCII text produced by filter and extracts adequate keyword to structure and property of document. PDF electronic document systems proposed in this paper can be used in Internet, PC communication. Users can choose and read electronic documents by two ways. First, users can choose and read relevant books using PDF electronic document homepage. Second, users can use PDF integrated-search system. User can search after inputing keyword and choose reference field and type of data. But, now, PDF products of Adobe can\`t support the Korean character. If this problem is resolved, we thick that PDF applications system looks active. Although there is limited function in case of using Zwon DocuCom used in this study, we think that there isn\`t a great deal of difficulty in electronic document and building digital database.

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A study of improve vectorising technique on the internet (인터넷에서의 개선된 벡터라이징 기법에 관한 연구)

  • 김용호;이윤배
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.2
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    • pp.271-281
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    • 2002
  • Currently, most web designers guarante high quality using bitmap graphics as fixed font size, but that has defects about file size and flexibility. Especially, to provide high quality of banner and advertise characters, after you should use a bitmap edit program, and then we should follow the method we add that program to HTML documents as bitmap data. In this study, as I show a couple of new tags in front of HTML documents, I show methods which can be presented diverse effects. When text information are stored, because we print out a screen with simple control points and outside information, it can be possible for us to express the same quality of Hangul characters like printed documents in a web browser. Regardless of the second class of platform, we can make it possible the character expression with exact character expressions and diverse effects.

Automatic Title Detection by Spatial Feature and Projection Profile for Document Images (공간 정보와 투영 프로파일을 이용한 문서 영상에서의 타이틀 영역 추출)

  • Park, Hyo-Jin;Kim, Bo-Ram;Kim, Wook-Hyun
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.3
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    • pp.209-214
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    • 2010
  • This paper proposes an algorithm of segmentation and title detection for document image. The automated title detection method that we have developed is composed of two phases, segmentation and title area detection. In the first phase, we extract and segment the document image. To perform this operation, the binary map is segmented by combination of morphological operation and CCA(connected component algorithm). The first phase provides segmented regions that would be detected as title area for the second stage. Candidate title areas are detected using geometric information, then we can extract the title region that is performed by removing non-title regions. After classification step that removes non-text regions, projection is performed to detect a title region. From the fact that usually the largest font is used for the title in the document, horizontal projection is performed within text areas. In this paper, we proposed a method of segmentation and title detection for various forms of document images using geometric features and projection profile analysis. The proposed system is expected to have various applications, such as document title recognition, multimedia data searching, real-time image processing and so on.

A Study on demands of education training about copyright for infant and early childhood education institutions (영유아교육기관을 위한 저작권 교육 연수 요구조사)

  • Oh, Eun-Sun;Lee, So-Hyun
    • Journal of Digital Contents Society
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    • v.17 no.5
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    • pp.349-357
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    • 2016
  • The purpose of this study is to analyze demands of education training about copyright for Infant and early childhood education institutions. This study investigated demands of education training about copyright for infant and early childhood education institutions targeting 248 directors and teachers. Using a questionnaire, research data was analyzed using the program spss. Demands of education training about copyright for infant and early childhood education institutions appeared differently depending on education institution type, position, education career, etc. copyright training topics include the highest demands for understanding of the copyright associated with the work of the early childhood education. Training contents had higher demands for using typeface(font) and video material. So these results reported that directors and teachers require copyright education relating to the work of Early childhood education. The results of this study suggest the implications for developing and implementing copyright training programs for Infant and Early childhood education institutions.

A Study on Type Classification and Subpattern Extraction Using Structural Information of Radical in Printed Hanja (인쇄체 한자에서 Radical의 구조적 정보를 이용한 형식분류 및 부분패턴 추출에 관한 연구)

  • 김정한;조용주;남궁재찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.3
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    • pp.232-247
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    • 1991
  • This paper proposes a new classification algorithm using characteristic and structural information of printed Hanja as preliminary stages of Hanja-character recognition. Hanja is difficult for not only recognition but classification as many character and complicated structure. In this paper, to solve thie problem, extracted common subpattern in classified pattern after processing type classification fot Hanja pattern. First, we extracted subpattern, after we process preprecessing about input of character pattern, extracting directional segment, labeling on 4-directional pattern and 12 type classified using structural information based on the subpattern existing region of character pattern. Though the experiment, this study obtained that classified rate of Hanja is 93.07% on 1800 character of educational Hanja and 90.12% on 4888 character of KS C5601 standard TRIGEM LBP Hanja font and saw that as extracting subpattern at classified data was this paper possibly applied to the recognition.

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