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신문기사 분석을 통한 이슈 라이프사이클에 관한 연구 - 삼성 갤럭시노트7 사례 - (A Study on the Issue Lifecycle through the Analysis of News Texts - A Case of Samsung Galaxy Note 7 -)

  • 허필희;김양석;이충권
    • 스마트미디어저널
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    • 제7권4호
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    • pp.99-105
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    • 2018
  • 시장에 내놓은 제품이나 서비스가 문제를 일으켜서 해당 기업의 비즈니스와 이미지에 큰 타격을 입히는 사례가 자주 발생하고 있다. 발생한 문제에 적절하게 대응하고 피해를 최소화하는 것은 기업들에게 매우 중요한 일이다. 본 연구는 스마트폰 시장을 주도하고 있는 삼성이 개발하여 출시한 갤럭시노트7의 리콜 사태를 다루었던 뉴스를 수집하고 분석하였다. 이슈 라이프사이클에 기반하여 단계별로 뉴스의 특징을 표현하고 연관규칙을 이용하여 텍스트의 내용을 분석하고 시각화하였다. 본 연구의 결과는 이슈의 변화와 흐름을 이해하고 대응책을 모색해야 하는 기업들의 비즈니스 활동에 도움을 줄 것으로 기대된다.

Quantum-based exact pattern matching algorithms for biological sequences

  • Soni, Kapil Kumar;Rasool, Akhtar
    • ETRI Journal
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    • 제43권3호
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    • pp.483-510
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    • 2021
  • In computational biology, desired patterns are searched in large text databases, and an exact match is preferable. Classical benchmark algorithms obtain competent solutions for pattern matching in O (N) time, whereas quantum algorithm design is based on Grover's method, which completes the search in $O(\sqrt{N})$ time. This paper briefly explains existing quantum algorithms and defines their processing limitations. Our initial work overcomes existing algorithmic constraints by proposing the quantum-based combined exact (QBCE) algorithm for the pattern-matching problem to process exact patterns. Next, quantum random access memory (QRAM) processing is discussed, and based on it, we propose the QRAM processing-based exact (QPBE) pattern-matching algorithm. We show that to find all t occurrences of a pattern, the best case time complexities of the QBCE and QPBE algorithms are $O(\sqrt{t})$ and $O(\sqrt{N})$, and the exceptional worst case is bounded by O (t) and O (N). Thus, the proposed quantum algorithms achieve computational speedup. Our work is proved mathematically and validated with simulation, and complexity analysis demonstrates that our quantum algorithms are better than existing pattern-matching methods.

A Research on Difference Between Consumer Perception of Slow Fashion and Consumption Behavior of Fast Fashion: Application of Topic Modelling with Big Data

  • YANG, Oh-Suk;WOO, Young-Mok;YANG, Yae-Rim
    • 융합경영연구
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    • 제9권1호
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    • pp.1-14
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    • 2021
  • Purpose: The article deals with the proposition that consumers' fashion consumption behavior will still follow the consumption behavior of fast fashion, despite recognizing the importance of slow fashion. Research design, data and methodology: The research model to verify this proposition is topic modelling with big data including unstructured textual data. we combined 5,506 news articles posted on Naver news search platform during the 2003-2019 period about fast fashion and slow fashion, high-frequency words have been derived, and topics have been found using LDA model. Based on these, we examined consumers' perception and consumption behavior on slow fashion through the analysis of Topic Network. Results: (1) Looking at the status of annual article collection, consumers' interest in slow fashion mainly began in 2005 and showed a steady increase up to 2019. (2) Term Frequency analysis showed that the keywords for slow fashion are the lowest, with consumers' consumption patterns continuing around 'brand.' (3) Each topic's weight in articles showed that 'social value' - which includes slow fashion - ranked sixth among the 9 topics, low linkage with other topics. (4) Lastly, 'brand' and 'fashion trend' were key topics, and the topic 'social value' accounted for a low proportion. Conclusion: Slow fashion was not a considerable factor of consumption behavior. Consumption patterns in fashion sector are still dominated by general consumption patterns centered on brands and fast fashion.

최근 10년간 한방비만학회지의 연구동향 분석: 2010-2019년 한방비만학회지 게재논문을 중심으로 (Analysis of Research Trends in Papers Published in the Journal of Korean Medicine for Obesity Research: Focused on 2010-2019)

  • 박서현;송윤경
    • 한방비만학회지
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    • 제20권2호
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    • pp.149-177
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    • 2020
  • Objectives: This study performed to identify trends in research published in the Journal of Korean Medicine for Obesity Research during last one decade. Methods: All of the articles in the Journal of Korean Medicine for Obesity Research published from 2010 to 2019 were collected. Search were conducted through "http://jkomor.org." Collected articles were classified into year and type of publication. Additional data including study design, study topics, characteristics of participants and treatment, outcomes was extracted from full text of each study. Results: Total 135 articles were analyzed. The number of studies were increasing after 2015. According to classification by type of study, percentage of clinical study took 27%, preclinical study took 37%, literary study took 21%, and case report took 15%. The number of studies were grown and study topics have been diversified. However for the growth of quality, concern for subjects, study design, quality assessment according to research guidelines and ethical consideration is needed. Conclusions: The number of studies and issues each study focused on have been increasing. To improve the quality of studies, further studies should be followed.

채용정보 분석을 통한 비즈니스 직무 스펙 연구 (Research on Business Job Specification through Employment Information Analysis)

  • 이종화;이현규
    • 한국정보시스템학회지:정보시스템연구
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    • 제31권1호
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    • pp.271-287
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    • 2022
  • Purpose This research aims to study the changes in recruitment needed for the growth and survival of companies in the rapidly changing industry. In particular, we built a real company's worklist accounting for the rapidly advancing data-driven digital transformation, and presented the capabilities and conditions required for work. Design/methodology/approach we selected 37 jobs based on NCS to develop the employment search requirements by analyzing the business characteristics and work capabilities of the industry and company. The business specification indicators were converted into a matrix through the TF-IDF process, and the NMF algorithm is used to extract the features of each document. Also, the cosine distance measurement method is utilized to determine the similarity of the job specification conditions. Findings Companies tended to prefer "IT competency," which is a specification related to computer use and certification, and "experience competency," which is a specification for experience and internship. In addition, 'foreign language competency' was additionally preferred depending on the job. This analysis and development of job requirements would not only help companies to find the talents but also be useful for the jobseekers to easily decide the priority of their specification activities.

악안면 보철 연구: 체계적 고찰 (A study on maxillofacial prosthesis: systematic considerations)

  • 황성식;임용운
    • 대한치과기공학회지
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    • 제43권4호
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    • pp.139-144
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    • 2021
  • Purpose: This study aimed to provide basic data to identify the current status of use of maxillofacial prosthesis across the world and discuss its application and research directions in Korea. Methods: Existing literature (study period, 2010 to 2020) from international studies was collected from PsycINFO, CINAHL, and PubMed, whereas domestic studies were searched using KISS and RISS. Maxillofacial prosthesis was used as the search word. A total of three foreign and two domestic articles were searched, and as a result, a total of 12 documents were selected for analysis. Results: A total of 3,311 studies were searched in this study. Among them, 3,253 articles contained in duplicate inspection and exclusion criteria were removed, and 12 articles were selected by removing literature that did not meet the research criteria through title and green and text reviews. Finally, two researchers selected the final 12 articles through handwritten searches. Eleven of them were case studies, and the remaining one was a descriptive study. Conclusion: This study identified the current status of studies that implemented maxillofacial prosthesis, published from January 2010 to January 2020. Facial prosthetics improve the quality of life of patients by restoring defects that appear on different types of mouth and face and promote both function and aesthetics. Therefore, they can be used to treat various conditions and have a positive impact on the future.

Context Centrality in Distributions of Advertising Messages and Online Consumer Behavior

  • CHAE, Myoung-Jin
    • 유통과학연구
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    • 제20권8호
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    • pp.123-133
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    • 2022
  • Purpose: As moment-based marketing messages (i.e., messages related to current moments or event), companies put significant investments to distribute TV advertising related to external moments in a retail environment. While the literature offers strong support for the value of distributions of context-based messaging to advertisers, less attention has been given to how to design those messages to effectively communicate across channels. This research adds a new dimension of analysis to the study of advertising context and its cross-channel effects on online consumer behavior. Research Design, Data and Methodology: A system-of-equations Tobit regression model was adopted using data collected from an advertising agency that consists of 1,223 TV ads aired during the Rio Olympics and NCAA, tagging from consumers, and a text analysis. Results: First, TV ads with high centrality of context lead to lower online search behavior and higher online social actions. Second, how brands can design messages more effectively was explored by using product information as a moderator that could improve the impact of context-based TV advertisements. Conclusions: Given that expenses in traditional channels are still one of the biggest channel management decisions, it is critical to understand how consumer engagement varies by design of context-based TV advertising.

Analysis of Infertility Keywords in the Largest Domestic Mom Cafe Bulletin Board in Korea Using Text Mining

  • Sangmin Lee
    • 인터넷정보학회논문지
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    • 제24권4호
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    • pp.137-144
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    • 2023
  • The purpose of this study is to examine consumers' perceptions of domestic infertility support policies based on infertility-related keywords and the trends of their changes. To this end, Momsholic, a mom cafe which has the most active infertility-related bulletin boards on Naver, was selected as the analysis target, and 'infertility' was selected as a keyword for data search. The data was collected for three months. In addition, network analysis and visualization were performed using R for data collection and analysis, and cross-validation was attempted using the NetDraw function of 'textom 1.0' and the UCINET6 program. As a result of the analysis, the main keywords were cost, artificial insemination, in vitro fertilization, freezing, harvest, ovulation, and how much. Next, looking at the central value of the degree of connection, it was found that the degree of connection between the words cost, cost, how much, problem, public health center, and artificial insemination was high. According to the results of this study, women who visit mom cafes due to infertility in Korea are more interested in the cost. It is believed to be closely related to infertility treatment as well as in vitro fertilization and egg freezing. Therefore, by examining keywords related toinfertility, it has academic significance in that it is possible to identify major factors that end users are interested in. Furthermore, it is possible to redefine the guidelines for domestic infertility support policies by presenting infertility support policies that reflect the factors of interest of end consumers.

AI를 이용한 국방 기사의 효과적인 요약 모델 설계 및 성능 평가 (Designing Effective Summary Models for Defense Articles with AI and Evaluating Performance)

  • 남예린;최윤영;최종근;권혁진
    • 시스템엔지니어링학술지
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    • 제20권1호
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    • pp.64-75
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    • 2024
  • With the development of the Internet, the information in our lives has become fast and diverse. Especially in the field of defense, articles and information are pouring in from various sources every day, and fast information selection, understanding, and decision-making are required in the ever-changing situation. It is very cumbersome to go from platform to platform and read articles one by one to get the information you need. To solve this problem, this research aims to save time and provide quick access to the latest information by allowing you to quickly grasp key information from summarized content without having to read the entire article. This can improve efficiency by allowing defense professionals to focus more on important tasks rather than extensive information search and analysis.

음성정보 내용분석을 통한 골프 동영상에서의 선수별 이벤트 구간 검색 (Retrieval of Player Event in Golf Videos Using Spoken Content Analysis)

  • 김형국
    • 한국음향학회지
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    • 제28권7호
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    • pp.674-679
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    • 2009
  • 본 논문은 골프 동영상에 포함된 오디오 정보로부터 검출된 이벤트 사운드 구간과 골프 선수이름이 포함된 음성구간을 결합하여 선수별 이벤트 구간을 검색하는 방식을 제안한다. 전체적인 시스템은 동영상으로부터 분할된 오디오 스트림으로부터 잡음제거, 오디오 구간분할, 음성 인식 등의 과정을 통한 자동색인 모듈과 사용자가 텍스트로 입력한 선수 이름을 발음열로 변환하고, 색인된 데이터베이스에서 질의된 선수 이름과 상응하는 음성구간과 연결되는 이벤트 구간을 찾아주는 검색 모듈로 구성된다. 선수이름 검색을 위해서 본 논문에서는 음소 기반, 단어 기반, 단어와 음소를 결합한 하이브리드 방식을 적용한 선수별 이벤트 구간 검색결과를 비교하였다.