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A Study on the Definition and Measure Development for EA Functions (전사 아키텍처(EA)의 기능 정의 및 측정지표에 관한 실증적 연구)

  • Jeon, Seung-Ryul;Kang, Jae-Hwa;Lee, Bong-Gyou
    • The KIPS Transactions:PartD
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    • v.17D no.1
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    • pp.77-86
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    • 2010
  • Recently, Enterprise Architecture (EA) has emerged as the important keyword in both private and public sectors. With this phenomenon, there are tremendous need for the measures of EA functions, one of the key EA research variables, to provide academic insights and accumulate research findings in this area. Thus far, multiple definitions and concepts for EA functions exist, causing confusion among observers. Thus, in order to clarify the conceptual meaning behind the term "functions of EA" once and for all, this study reviews previous literature and provides conceptual definition. Then, we identify 24 items and rigorously develop and validate the measurement instrument for EA functions, which results in five domains: Infrastructure Systemization, Integration Management, IT Governance Support, Development and Operation Management, and Investment Management.

Organizational Ostracism: A Potential Framework in Order to Deal with It

  • Mlika, Mona;Khelil, Mehdi Ben;Salem, Nidhal Haj
    • Safety and Health at Work
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    • v.8 no.4
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    • pp.398-401
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    • 2017
  • Background: Organizational ostracism is defined as a violation of norms that we are suggested to acknowledge at the workplace. It results in the exclusion of one person or multiple persons, and causes damage to our innate need to belong. This kind of behaviorism can be engaged through a hierarchical or nonhierarchical relationship. Three elements interact in the framework of organizational ostracism: the actor, the target, and the institution. Our aim was to describe the different factors interacting with every element in order to produce recommendations targeting to prevent the occurrence of such behaviorism in an institution and to help targets of such a violence in order to handle this situation and go forward. As psychological impact of ostracism has frequently been studied in the literature, we focused on its impact on professional tasks. Methods: We performed a questionnaire-based study about organizational ostracism. This questionnaire was established through an online platform (https://www.sondageonline.com) and made available through the following link: https://goo.gl/forms/KrkVXe3bMEc79cau2. A keyword was sent to all participants. We created a 23-interrogation questionnaire with open and short questions. Nonwritten consent was obtained from all participants. Results: The actor of ostracism engaged in ostracism, in most of the cases, with other persons without a real purpose. The actor of ostracism had an antecedent of problematic relationship at work in 82.9% of the cases. Of the participants, 58.5% were of the view that ostracism aimed to cause hurt and isolate them. Professional isolation was observed in 58.5% of the cases; 51.2% of the participants tried to improve their work potential and explained their reaction by an intrinsic motivation. The organization atmosphere was judged to be bad in most of the cases. Conclusion: Our study showed that ostracism was mainly observed in public practice.

A Study of Western-Style First Birthday Clothing for Girls from Online Shopping Malls (온라인 쇼핑몰의 서양식 여아 돌복 연구)

  • Kwon, Sang-Hee
    • Fashion & Textile Research Journal
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    • v.21 no.1
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    • pp.13-26
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    • 2019
  • In this study, Western-style first birthday clothing for girls from online shopping malls was explored. Specifically, clothing types, forms, colors, textiles, prints/patterns, and trimmings were examined. Using the keyword dol bok (meaning "first birthday clothing") and the search engines Naver and Daum, online shopping malls that sell or rent Western-style first birthday clothing for girls were found. From 15 online shopping malls, 317 dresses, 76 outers, and 69 bonnets were analyzed. The one-piece dress was the main item of Western-style first birthday clothing for girls. Most first birthday dresses were white or ivory in terms of color; other common features were the bell silhouette, a high waistline, a midi- or knee-length skirt with multiple layers, and bow trimming. The upper bodices of dresses featured round necklines without collars and sleeves, and the main textiles used for dresses were satin, lace, organza, and tulle. Two main types of outers were jackets and capes. Most outers were white or ivory and waist-length or shorter, with elbow-length or longer sleeves. Outers were typically made of fur, satin, and lace. Most bonnets were also white or ivory in color, made of satin and lace, and decorated with ribbon ties and frills/ruffles. Because a precedent study indicates that a monochromatic color scheme was the least favorite and that consumers want a proper fit and length-adjustable design, conclusions of this study point to the need for color diversification; color combinations for two-piece dresses, outers, and accessories; and lacing or shoulder snaps instead of zippers.

Automated infographic recommendation system based on machine learning (기계학습 기반의 인포그래픽 자동 추천 시스템)

  • Kim, Hyeong-Gyun;Lee, Sang-hee
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.17-22
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    • 2021
  • In this paper, a machine learning-based automatic infographic recommendation system is proposed to improve the existing infographic production method. This system consists of a part that machine learning multiple infographic images and a part that automatically recommends infographics with artificial intelligence only by inputting basic data from the user. The recommended infographics are provided in the form of a library, and additional data can be input by drag & drop method. In addition, the infographic image is designed to be dynamically adjusted according to the size of the input data. As a result of analyzing the machine learning-based automatic infographic recommendation process, the matching success rate for layout and keyword was very high, and the matching success rate for type was rather low. In the future, a study to improve the matching success rate for the image type for each part of the infographic will be needed.

Consumers' perceptions of dietary supplements before and after the COVID-19 pandemic based on big data

  • Eunjung Lee;Hyo Sun Jung;Jin A Jang
    • Journal of Nutrition and Health
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    • v.56 no.3
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    • pp.330-347
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    • 2023
  • Purpose: This study identified words closely associated with the keyword "dietary supplement" (DS) using big data in Korean social media and investigated consumer perceptions and trends related to DSs before (2019) and after the coronavirus disease 2019 (COVID-19) pandemic (2021). Methods: A total of 37,313 keywords were found for the 2019 period, and 35,336 keywords were found for the 2021 period using blogs and cafes on Daum and Naver. Results were derived by text mining, semantic networking, network visualization analysis, and sentiment analysis. Results: The DS-related keywords that frequently appeared before and after COVID-19 were "recommend", "vitamin", "health", "children", "multiple", and "lactobacillus". "Calcium", "lutein", "skin", and "immunity" also had high frequency-inverse document frequency (TF-IDF) values. These keywords imply a keen interest in DSs among Korean consumers. Big data results also reflected social phenomena related to DSs; for example, "baby" and "pregnant woman" had lower TD-IDF values after the pandemic, suggesting lower marriage and birth rates but higher values for "joint", indicating reduced physical activity. A network centered on vitamins and health care was produced by semantic network analysis in 2019. In 2021, values were highest for deficiency and need, indicating that individuals were searching for DSs after the COVID-19 pandemic due to a lack an awareness of the need for adequate nutrient intake. Before the pandemic, DSs and vitamins were associated with healthcare and life cycle-related topics, such as pregnancy, but after the COVID-19 pandemic, consumer interests changed to disease prevention and treatment. Conclusion: This study provides meaningful clues regarding consumer perceptions and trends related to DSs before and after the COVID-19 pandemic and fundamental data on the effect of the pandemic on consumer interest in dietary supplements.

Monitoring Seasonal Influenza Epidemics in Korea through Query Search (인터넷 검색어를 활용한 계절적 유행성 독감 발생 감지)

  • Kwon, Chi-Myung;Hwang, Sung-Won;Jung, Jae-Un
    • Journal of the Korea Society for Simulation
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    • v.23 no.4
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    • pp.31-39
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    • 2014
  • Seasonal influenza epidemics cause 3 to 5 millions severe illness and 250,000 to 500,000 deaths worldwide each year. To prepare better controls on severe influenza epidemics, many studies have been proposed to achieve near real-time surveillance of the spread of influenza. Korea CDC publishes clinical data of influenza epidemics on a weekly basis typically with a 1-2-week reporting lag. To provide faster detection of epidemics, recently approaches using unofficial data such as news reports, social media, and search queries are suggested. Collection of such data is cheap in cost and is realized in near real-time. This research aims to develop regression models for early detecting the outbreak of the seasonal influenza epidemics in Korea with keyword query information provided from the Naver (Korean representative portal site) trend services for PC and mobile device. We selected 20 key words likely to have strong correlations with influenza-like illness (ILI) based on literature review and proposed a logistic regression model and a multiple regression model to predict the outbreak of ILI. With respect of model fitness, the multiple regression model shows better results than logistic regression model. Also we find that a mobile-based regression model is better than PC-based regression model in estimating ILI percentages.

A Research on the Use of Faceted Navigation of KOLIS-NET (KOLIS-NET의 패싯 네비게이션 활용에 관한 연구)

  • Yoon, Cheong-Ok
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.1
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    • pp.109-132
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    • 2019
  • The purpose of this study is to examine and propose to improve the features of a simple keyword search box and faceted navigations of KOLIS-NET operated by the National Library of Korea. A record group of '2011-2020 (776)' under 'Publication date' facet, out of 3,702 records retrieved from a search of '김훈', were examined. Major findings are as follows: (1) Five facets including 'Format', 'Publication date', 'Subject', 'Language' and 'Country' are used to limit search results only in the first step, and multiple facets cannot be simultaneously used; (2) With 'Publication date' facet formed in the span of ten years, a separate publication year cannot be identified; (3) 'Subject' facet based on KDC limits the results only in broad subject classes without sub-facets; (4) Under 'Format' facet, a special format such as large print texts cannot be identified; (5) Without 'Author' facet, authors cannot be identified; and (6) 'Publication date missing', 'Language missing', and 'Miscellaneous subject' record groups cannot be clicked and displayed, a navigation to-and-fro between a brief list and bibliographic records is not smooth, etc. Therefore an application of multiple facets in all stages of limiting the search result, a construction of sub-facets for 'Publication date' and 'Subject' facets, an accurate description and coding of 'General Material Designation', etc. are suggested to improve KOLIS-NET's faceted navigation.

Trends in Pre-service Science Teacher Education Research in Korea (우리나라 예비 과학교사 교육 연구의 동향)

  • Lee, Gyeong-Geon;An, Taesoo;Mun, Seonyeong;Hong, Hun-Gi
    • Journal of The Korean Association For Science Education
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    • v.42 no.1
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    • pp.127-147
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    • 2022
  • Pre-service science teacher education is important to elaborate the quality of science teaching and learning in schools. Therefore, many pre-service science teacher education researches have been done in Korea. However, almost no research has comprehensively reviewed those literatures including secondary teacher education context. This study reviewed 410 pre-service science teacher education researches in Korea, from 1995 to 2021 published by 17 journals in KCI. The trends were analyzed with respect to the number of article according to period, keyword frequency, and qualitative features. The qualitative features were coded in multiple aspects of pre-service teachers' type, major, subject-matter in research context, research approach, data type, and the number of participants. The results indicate that the number of research articles has increased by about 40 for every 5-year period. JKASE has published most articles, and the diversity of journals has increased since 2010. Keyword frequency revealed that scientific concepts, science teaching efficacy, nature of science, and other teaching and learning contexts were emphasized. In qualitative features, the most frequent pre-service type was secondary in 'general' science context. For research topic, 'pre-service teacher education program' and 'perception and cognitive domain' were the most frequent. Most of the articles have 'analyzed' the phenomena or consequence of educational issue. Most research was conducted with 11 to 30 participants. These patterns of qualitative features have differed according to period, and types of pre-service teacher. Suggestions for the future pre-service science teacher education research topic were explored, such as policy-administrative research, integrated science teacher education, teacher agency, and environmental education.

A study on the Domestic Consumer's Perception of "Hansik" with Big Data Analysis : Using Text Mining and Semantic Network Analysis (빅데이터를 통한 내국인의 '한식' 인식 연구 : 텍스트마이닝과 의미연결망 중심으로)

  • Park, Kyeong-Won;Yun, Hee-Kyoung
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.145-151
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    • 2020
  • 'Hansik', or Korean cuisine is one of Korea national brands. To understand the domestic consumer awareness of Korean cuisine, data was gathered under the keyword search, 'Hansik.' Textom 3.5 was used to gather data from blogs, news media found on Naver from November 1, 2018, to October 31, 2019. The results from frequency and TF-IDF analysis indicate that the 'buffet' had the largest proportion in terms of consumer awareness to Hansik. Also, broadcasting contents starring star chefs had a great influence. The Hansik awareness did not remain in the domains of its traditionality, but also branched into extents into areas such as fusional and gourmet cuisine. UCINET6 and NetDraw were used to conduct CONCOR analysis. Four cluster formations have been found; various food cultural cluster, high-end restaurant cluster referring to aired restaurants on media, Hansik brand cluster, and Hansik buffet cluster. This study proposes presenting a various menu of Hansik which use a multiple number of ingredients. Also, a promotion that introduces fine Hansik and a development of marketing views and media contents about the convenient HMRs make the associated imagery of Hansik to be strengthen.

Analysis of Sea Trial's Title for Naval Ships Based on Big Data (빅데이터 기반 함정 시운전 종목명 분석)

  • Lee, Hyeong-Sin;Seo, Hyeong-Pil;Beak, Yong-Kawn;Lee, Sang-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.420-426
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    • 2020
  • The purpose and main points of the ROK-US Navy were analyzed from various angles using the big data technology Word Cloud for efficient sea trials. First, a comparison of words extracted through keyword cleansing in the ROK-US Navy sea trial showed that the ROK Navy conducted a single equipment test, and the US Navy conducted an integrated test run focusing on the system. Second, an analysis of the ROK-US Navy sea trials showed that approximately 66.6% were analyzed as similar items, of which more than two items were 112 items Approximately 44% of the 252 items of the ROK Navy sea trials overlapped, and that 89 items (35% of the total) could be reduced when integrated into the US Navy sea trials. A ship is a complex system in which multiple equipment operates simultaneously. The focus on checking the functions and performance of individual equipment, such as the ROK Navy's sea trials, will increase the sea trial period because of the excessive number of sea trial targets. In addition, the budget required will inevitably increase due to an increase in schedule and evaluation costs. In the future, further research will be needed to achieve more efficient and accurate sea trials through integrated system evaluations, such as the U.S. Navy sea trials.