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The Role Effect Loyalty of Internet: A Causal Model

  • Kim, Gye-Soo
    • International Journal of Quality Innovation
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    • v.6 no.2
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    • pp.17-30
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    • 2005
  • The Internet can provide benefits obtained from changing the structure of a business, such as emphasizing the importance of different types of personnel. In addition, the Internet alters the process for business activity, both within and outside the organization. Using structural equation modeling, I empirically test a number of hypothesized relationship based on a sample of 126 Internet Community users. The results are as follows: loyalty is significantly influenced by trust and relationship, repeat purchase is significantly influenced bye-loyalty. In addition, word of mouth is significantly influenced by e-loyalty.

Keyword Visualization based on the number of occurrences (출현회수에 따른 키워드 가시화 연구)

  • Lee, HyunChang;Shin, SeongYoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.484-485
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    • 2019
  • Recently, interest in data analysis has increased as the importance of big data becomes more important. Particularly, as social media data and academic research communities become more active and important, analysis becomes more important. In this study, co-word analysis was conducted through altmetrics articles collected from 2012 to 2017. In this way, the co-occurrence network map is derived from the keyword and the emphasized keyword is extracted.

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Keyword Visualization based on the Number of Occurrences (키워드 빈도수에 따른 시각화 연구)

  • Lee, HyunChang;Shin, SeongYoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.565-566
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    • 2021
  • Recently, interest in data analysis has increased as the importance of big data becomes more important. Particularly, as social media data and academic research communities become more active and important, analysis becomes more important. In this study, co-word analysis was conducted through altmetrics articles collected from 2012 to 2017. In this way, the co-occurrence network map is derived from the keyword and the emphasized keyword is extracted.

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An Analysis on Sentence Structures and Interpretation Errors in Word Problems in Mathematics -Focussing on the 2nd grade elementary students- (수학 문장제의 문장 구조와 해석상의 오류 분석 -초등학교 2학년을 중심으로-)

  • Lee, Byeong-Ok;Ahn, Byeong-Gon
    • Journal of Elementary Mathematics Education in Korea
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    • v.12 no.2
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    • pp.185-204
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    • 2008
  • The purposes of this study are to analyze sentence structures of word problems suggested in educational math programs for the 2nd grade elementary students and error patterns in sentence interpretation, and examine how sentence structures influence on errors during sentence comprehension. Based on the results of the analysis on 168 word problems suggested in math textbooks for the 2nd grade elementary students and error patterns observed while 160 the 2nd grade elementary students attempted to solve math word problems, easy and simple vocabularies are repeatedly used in the sentence structures of word problems and specific real life materials such as fruits, books, the number of people and etc. were repeatedly used. 51.56% of errors in sentence interpretation observed was higher than 39.20% of calculation errors and backtracking operation, a length of sentences, the numbers used in questions and off were analyzed to be involved in the errors in interpretation. Therefore, it is very important to make word problems from a student's points of view rather than a teacher's point of view and the study suggests that teachers help students learn basic sentence interpretation skills.

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Linguistic Characteristics of Domestic Men's Formal Wear Brand Names

  • Kwon, Hae-Sook
    • Journal of Fashion Business
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    • v.14 no.6
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    • pp.11-22
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    • 2010
  • The main purpose of this research was to examine the linguistic characteristics of domestic men's formal wear brand name. Four linguistic characteristics of language type, combined structure type of language, word class, length of brand name were investigated in this research and also examined the difference between brand type. For sample selection, the 209 men's fashion brands were selected from '2009 Korea Fashion Yearbook' and then, 25 brands which could not collect proper informations about the brand name or naming were excluded. Among total 184 men's brand names, 66 men's formal wear brands were selected and studied. For data analysis, quantitative evaluation of the frequency and qualitative evaluation have been used. The result as follows.; (1) Seven language types were found in domestic men's formal wear brand names. English has been used the most, then followed by Italian and French. (2) For combined structure type of brand name language, the single word used the most, followed by separately combined word type, artificially combined word, and unified word type. (3) The most frequently used the type of word class was noun, and followed by phrase, adjective, and verb. In the noun type, 6 different types which expressed a person, concrete & abstract entity, place, acronym, and neologic were found. For phrase, only noun type was appeared, however, 6 out of 20 phrases were abbreviated type. All eight adjective brand names implied an attributive character of the brand such as 'Dainty' or 'Solus(Solo)'. (4) The long name used most and then followed by normal and short length of brand name. Looking by the number of syllable, 4 syllables appeared the most and then followed by 3, 5, 6, 2 & 7 showed the same rate, and 8 syllables. (5) The result which compared the difference according to each brand type showed a difference in its language type, language combined style, word class, but length of brand name.

A Study of Interpretation Effect of Passwords to Password Generation (패스워드 표기 방식이 패스워드 생성에 미치는 영향)

  • Kim, Seung-Yeon;Kwon, Taekyoung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.5
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    • pp.1235-1243
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    • 2015
  • The purpose of this study was to find if the password composition of domestic users is affected by the different form of the word 'Password' in the interface of login or password change. In particular, 'Password', foreign notation, and 'Secret Number', notation translated by Korean, have a semantic difference. According to the survey of 200 students in S university, passwords made under the word 'Secret Number' are heavy on numbers than alphabet. Because these passwords make much smaller composition space than another case, they have bad security impact. We expect to make use of this paper as a base line data for study to find how improve domestic user's password security.

Relationship between Maternal Conversational Function and Question Type and Early Language Development (어머니가 사용한 담화기능 및 질문유형과 영아의 언어발달과의 관계)

  • Lee Kwee-Ock
    • The Korean Journal of Community Living Science
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    • v.17 no.3
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    • pp.3-14
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    • 2006
  • The purpose of this study was to investigate the relationship between conversational function and question type in mothers' utterances and their infant's language development. The subjects were 20 infants from 1;07 to 1;11 years of age in Yanji, China. Each child's spontaneous natural speech during interaction with his/her mother was videotaped for about 30 minutes. The children and their mother's spontaneous utterances were transcribed and coded for the number of type and token of word, grammatical morpheme conversational function and type of question in mother's language input to her child. The result showed that mothers used questions as the most frequent conversational function with their infants. The number of questions in conversational function in mothers' utterances positively correlated with the type of word, type of morpheme and grammatical morpheme in infants' utterance. However, there was no correlation between mothers' language input and infant early language development.

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THE FRACTIONAL TOTIENT FUNCTION AND STURMIAN DIRICHLET SERIES

  • Kwon, DoYong
    • Honam Mathematical Journal
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    • v.39 no.2
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    • pp.297-305
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    • 2017
  • Let ${\alpha}$ > 0 be a real number and $(s_{\alpha}(n))_{n{\geq}1}$ be the lexicographically greatest Sturmian word of slope ${\alpha}$. We investigate Dirichlet series of the form ${\sum}^{\infty}_{n=1}s_{\alpha}(n)n^{-s}$. To do this, a generalization of Euler's totient function is required. For a real ${\alpha}$ > 0 and a positive integer n, an arithmetic function ${\varphi}{\alpha}(n)$ is defined to be the number of positive integers m for which gcd(m, n) = 1 and 0 < m/n < ${\alpha}$. Under a condition Re(s) > 1, this paper establishes an identity ${\sum}^{\infty}_{n=1}s_{\alpha}(n)n^{-S}=1+{\sum}^{\infty}_{n=1}{\varphi}_{\alpha}(n)({\zeta}(s)-{\zeta}(s,1+n^{-1}))n^{-s}$.

The Development of Gesture in the Early Communication of Korean Infants (한국 영아의 초기 의사소통 : 몸짓의 발달)

  • Chang-Song, You-Kyung;Choi, Yun-Young;Kim, So-Yeun
    • Korean Journal of Child Studies
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    • v.26 no.1
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    • pp.155-167
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    • 2005
  • Korean infants' use of gesture was examined with 45 10-to 17-month olds. The mothers of infants were asked to check each word in the MacArthur Communicative Development Inventory-Korean (MCDI-K) vocabulary checklist if their infant had a gesture for a given word and to indicate what kind of early communicative behavior she showed in 5 different situations. The results show that infants in this study have 11 gestures, of which many are learned within the context of routines or games. Referential gestures were rarely reported. There was no positive correlation between the number of gestures and the number of expressive words. However, more qualitative measures on early communicative behaviors show that there was a positive correlation between "frequent use of gestures" and "try to communicate by verbal means".

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Deriving TrueType Features for Letter Recognition in Word Images (워드이미지로부터 영문인식을 위한 트루타입 특성 추출)

  • SeongAh CHIN
    • Journal of the Korea Society for Simulation
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    • v.11 no.3
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    • pp.35-48
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    • 2002
  • In the work presented here, we describe a method to extract TrueType features for supporting letter recognition. Even if variously existing document processing techniques have been challenged, almost few methods are capable of recognize a letter associated with its TrueType features supporting OCR free, which boost up fast processing time for image text retrieval. By reviewing the mechanism generating digital fonts and birth of TrueType, we realize that each TrueType is drawn by its contour of the glyph table. Hence, we are capable of deriving the segment with density for a letter with a specific TrueType, defined by the number of occurrence over a segment width. A certain number of occurrence appears frequently often due to the fixed segment width. We utilize letter recognition by comparing TrueType feature library of a letter with that from input word images. Experiments have been carried out to justify robustness of the proposed method showing acceptable results.

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