• Title/Summary/Keyword: Keywords Analysis

Search Result 1,488, Processing Time 0.031 seconds

Study for Analyzing Defense Industry Technology using Datamining technique: Patent Analysis Approach (데이터마이닝을 통한 방위산업기술 분석 연구: 특허분석을 중심으로)

  • Son, Changho
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.19 no.10
    • /
    • pp.101-107
    • /
    • 2018
  • Recently, Korea's defense industry has advanced highly, and defense R&D budget is gradually increasing in defense budget. However, without objective analysis of defense industry technology, effective defense R&D activities are limited and defense budgets can be used inefficiently. Therefore, in addition to analyzing the defense industry technology quantitatively reflecting the opinions of the experts, this paper aims to analyze the defense industry technology objectively by quantitative methods, and to make efficient use of the defense budget. In addition, we propose a patent analysis method to grasp the characteristics of the defense industry technology and the vacant technology objectively and systematically by applying the big data analysis method, which is one of the keywords of the 4th industrial revolution, to the defense industry technology. The proposed method is applied to the technology of the firepower industry among several defense industrial technologies and the case analysis is conducted. In the process, the patents of 10 domestic companies related to firepower were collected through the Kipris in the defense industry companies' classification of the Korea Defense Industry Association(KDIA), and the data matrix was preprocessed to utilize IPC codes among them. And then, we Implemented association rule mining which can grasp the relation between each item in data mining technique using R program. The results of this study are suggested through interpretation of support, confidence lift index which were resulted from suggested approach. Therefore, this paper suggests that it can help the efficient use of massive national defense budget and enhance the competitiveness of defense industry technology.

Association of a Pre-miR-27a Polymorphism with Cancer Risk: an Updated Meta-analysis

  • Bai, Rong-Pan;Weng, Yu;Su, Li-Ling;Jin, Ming-Juan;Xu, Zheng-Ping;Lu, Li-Qin;Chen, Guang-Di
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.15 no.23
    • /
    • pp.10107-10114
    • /
    • 2015
  • MicroRNA-27a is highly expressed in cancers and has been identified as an oncogenic microRNA. A genetic variant in pre-miR-27a (rs895819) with a transition of A to G has been demonstrated to be associated with cancer risk; however, the results of these studies remain conflicting rather than conclusive. Therefore, we performed a meta-analysis to derive a more precise estimation. Through searching PubMed or other databases up to March 2014 using the following MeSH terms and keywords, "miR-27a", "polymorphism" and "cancer", seventeen case-control studies were identified in this meta-analysis, including 7,813 cases and 9,602. Crude odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated to investigate the association strength between rs895819 and the susceptibility of cancer. The results of the overall meta-analysis did not suggest any association between rs895819 polymorphism and cancer susceptibility, and this remained in Asians as a subgroup. In Caucasians, however, the rs895819 was associated with a reduced cancer risk in heterozygous (OR, 0.83; 95%CI, 0.75-0.93) and dominant models (OR, 0.84; 95%CI, 0.76-0.93), and the [G] allele of rs895819 showed a protective effect (OR, 0.90, 95%CI, 0.84-0.97). Further studies showed a significant association between the [G] allele of rs895819 and decreased risk of breast cancer (0.91; 95%CI, 0.85-0.98), and stratified analyses indicated a protective effect of the [G] allele in Caucasians (OR, 0.89; 95%CI, 0.82-0.98), younger breast cancer cases (OR, 0.87; 95%CI, 0.79-0.96), and in the group of unilateral breast cancer patients (OR, 0.90; 95%CI, 0.83-0.97). These findings suggest an association between pre-miR-27a polymorphism rs895819 and cancer risk in Caucasians. The protective effect of rs895819 [G] allele in younger breast cancer and in the group of unilateral breast cancer patients await further confirmation since the included studies in this meta-analysis were limited.

Analysis of Digital Exhibitions Reflecting Participation Experience of Visitors in Digital Exhibition Space (디지털 전시 공간에서 발생하는 관람자의 참여 경험이 반영된 디지털 전시의 분석)

  • Park, Si-Eun;Sung, Junghwan
    • The Journal of the Korea Contents Association
    • /
    • v.18 no.1
    • /
    • pp.336-344
    • /
    • 2018
  • This research proposes a suitable classification and analysis standard for digital exhibition to analyze digital exhibition. Through the previous studies on digital exhibition classification, the necessity of the new standard is suggested and the analysis standard which can be easily applied to the change of concept and form of the newly emerging digital exhibition is established. Digital exhibition should take into account the elements of audience participation that naturally arise from exhibition planning and interactive storytelling format. Classification and analysis of existing digital exhibition spaces are conceptual classification based on keywords. This is because traditional exhibition methodology has been applied in the process of classifying exhibitions and works. However, in digital exhibitions, the interactive aspect between exhibition space, works, and visitors become so important that it is necessary to perform a performative classification between the works and the audience in the digital exhibition. Accordingly, the way of participating directly or indirectly in the exhibition classification should be considered based on what the audience feel. In this research, the interpretation of the classification and composition of the exhibition is based on Benjamin's argument which the classification of the sensory experience of the audience and 'Aktualisierung' closely related to the interaction with the audience. We also present analysis standard for digital exhibition according to the structure of the art exhibition narrative based on the narrative structure of Chatman. This classification methodology will provide the exhibition information in a way that can be easily understood by the visitors and it will be a precedent research that secures the expansion and accessibility of the digital exhibition.

Trend Analysis of the Technological Innovation Context in South Korea using Network Analysis: Focusing on Science and Technology Published by the Korean Federation of Science and Technology Societies, 1968-2017 (한국 과학기술계 기술혁신 논의의 흐름과 변화 : 한국과학기술단체총연합회의 『과학과 기술』을 중심으로, 1968-2017)

  • Lee, Juyoung;Jung, Hyojung
    • Journal of Korea Technology Innovation Society
    • /
    • v.20 no.4
    • /
    • pp.1015-1035
    • /
    • 2017
  • This paper analyzes how the concept of 'technological innovation' has changed in South Korea. We conducted keyword co-occurrence network analysis on articles in Science and Technology, a magazine published by the Korean Federation of Science and Technology Societies since 1968. With writers and readership from professional science and technology communities, government officers, as well as citizens, Science and Technology is a suitable archival source to represent discourses relating to South Korean use of the term 'technological innovation'. We used all the articles from 1968 to 2017 that include the term 'technological innovation' in their title. Also, we analyzed the keywords that co-occur with 'technological innovation' by the frame divided into three periods. The following conclusions were elicited: The term 'technological innovation' has been understood as a leading factor for government-driven industrial development since the 1960s. Nevertheless, the meaning of the term evolved over time. In the 1960s and 70s, 'technological innovation' referred to the introduction, assimilation, and transfer of technology. However, since the 1980s it has acquired a more multilateral meaning, connecting various industrial sectors and interest groups. This conclusion reveals that the meaning of 'technological innovation' is not static, but rather it is constructed over time. This study is expected to contribute to research on the direction of the technological innovation policy of Korea.

Analysis of dieting practices in 2016 using big data (빅데이터를 통한 2016년의 다이어트 실태 분석)

  • Jung, Eun-Jin;Chang, Un-Jae;Jo, Kyungae
    • Korean Journal of Food Science and Technology
    • /
    • v.51 no.2
    • /
    • pp.176-181
    • /
    • 2019
  • The aim of this study was to analyze dieting practices and tendencies in 2016 using big data. The keywords related to diet were collected from the portal site Naver and analyzed through simple frequency, N-gram, keyword network, and analysis of seasonality. The results showed that exercise had the highest frequency in simple frequency analysis. However, diet menu appeared most frequently in N-gram analysis. In addition, analysis of seasonality showed that the interest of subjects in diet increased steadily from February to July and peaked in October 2016. The monthly frequency of the keyword highfat diet was highest in October, because that showed the 'Low Carbohydrate High Fat' TV program. Although diet showed a certain pattern on a yearly basis, the emergence of new trendy diets in mass media also affects the pattern of diet. Therefore, it is considered that continuous monitoring and analysis of diet is needed rather than periodic monitoring.

A Study on the Time-Sectional Analysis of Apartment Housing related research in Korea (국내 아파트 관련 연구의 연구주제 시계열 분석)

  • Kim, Tae-Sok;Park, Jong-Mo;Park, Eu-Gene;Han, Dong-Suk
    • Journal of the Architectural Institute of Korea Planning & Design
    • /
    • v.34 no.3
    • /
    • pp.45-52
    • /
    • 2018
  • Currently, apartments have become an important research subject for the overall area of politics, economics, and culture as well as urban architectural study. However, there are few analyses of the research trends related to the current interest in the apartment research and prediction of the future changes of an apartment in politics and industry. In this study, the research information related to the apartment has classified, and the changes in the research trends have analyzed. Based on the classified data, the first thesis and dissertation related to the apartment and changes of academic notation have discovered. In addition, future interests and future research directions through Frequency of Appearance, Degree Centrality Analysis, and Betweenness Centrality Analysis of author keywords were predicted. As a result of the analysis, 'Space,' 'Residential Mobility' and 'Apartment Complex' studies were found to be important research topics throughout the entire period. 'Han Gang Apartment,' 'Small Size Apartment,' 'Civic Apartments,' 'Jamsil,' and 'Child' were newly interested topics until 70's era. '(Super) High-rise Apartment,' 'Perception,' 'Jugong Apartment,' 'Housing Environment,' 'Housewife,' 'Apartment Layout,' and 'Busan' were newly interested topics during the 80's and 90's era. 'Apartment Price,' 'Energy,' 'Remodeling,' 'Noise,' 'Resident Satisfaction,' 'Community,' and 'Apartment Lotting-out' were newly interested topics after the year 2000. New concerns for last decade are found to be 'Super High-rise Apartment', 'Remodeling', 'Indoor'(2007), 'Apartment Reconstruction Project', 'Brand', 'AHP', 'Housing Environment'(2008), 'Ventilation'(2009), 'Apartment Lotting-out'(2010), 'Economic Assessment'(2011), 'Cost'(2012), 'Green Building', 'Apartment Sales', 'Law', 'Society'(2013), 'Floor Impact Noise', 'Seoul'(2014), 'Noise'(2015), 'Hedonic Model'(2016). In addition, following research topics are expected to be active in the future: In maturity stage of the research development is going to be 'Apartment Price', 'Space', 'Management of Apartment Housing'; the hedonic model, which is research growth and development stage, is going to be '(Floor Impact) Noise', 'Community', 'Energy.

Exploratory Analysis of Consumer Responses to Korea-China Mobile Payment Service using Keyword Analysis -Focus on Kakao Pay and Alipay- (키워드 분석을 활용한 한·중 모바일 결제 서비스에 대한 소비자 반응 탐색적 분석 -카카오페이와 알리페이를 중심으로-)

  • Ke, Jung;Yoon, Donghwa;Ahn, Jinhyun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.6
    • /
    • pp.514-523
    • /
    • 2021
  • Recently, the proliferation of mobile simple payment services has been increasingly affecting people's lives. In addition, the increase in research from both China and Korea shows that the continuous development of simple mobile payment services will be very important in the future. The blog posts mentioning Kakao Pay and Alipay were collected, and keyword analysis was performed to investigate differences in consumers' responses to Kakao Pay and Alipay on social media. The frequency of keywords for each part of speech and the frequency of co-occurred words mentioned in one sentence were analyzed. Specifically, common words that appear in both Kakao Pay and Alipay blogs were extracted. The cooccurred words were analyzed to examine how different reactions were made on the same subject. As a result of the analysis, there were concerns among consumers about the trust of Kakao Pay and Alipay's benefits. For a mobile payment service to become competitive, it is necessary to add various additional services or solve security problems.

A study on the User Experience at Unmanned Checkout Counter Using Big Data Analysis (빅데이터 분석을 통한 무인계산대 사용자 경험에 관한 연구)

  • Kim, Ae-sook;Jung, Sun-mi;Ryu, Gi-hwan;Kim, Hee-young
    • The Journal of the Convergence on Culture Technology
    • /
    • v.8 no.2
    • /
    • pp.343-348
    • /
    • 2022
  • This study aims to analyze the user experience of unmanned checkout counters perceived by consumers using SNS big data. For this study, blogs, news, intellectuals, cafes, intellectuals (tips), and web documents were analyzed on Naver and Daum, and 'unmanned checkpoints' were used as keywords for data search. The data analysis period was selected as two years from January 1, 2020 to December 31, 2021. For data collection and analysis, frequency and matrix data were extracted through Textom, and network analysis and visualization analysis were conducted using the NetDraw function of the UCINET 6 program. As a result, the perception of the checkout counter was clustered into accessibility, usability, continuous use intention, and others according to the definition of consumers' experience factors. From a supplier's point of view, if unmanned checkpoints spread indiscriminately to solve the problem of raising the minimum wage and shortening working hours, a bigger employment problem will arise from a social point of view. In addition, institutionalization is needed to supply easy and convenient unmanned checkout counters for the elderly and younger generations, children, and foreigners who are not familiar with unmanned calculation.

Analysis of Perception on Happy Housing Using Blog Mining Technique (블로그 마이닝을 활용한 행복주택의 인식 분석)

  • Hwang, Ji Hyoun
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.2
    • /
    • pp.211-223
    • /
    • 2022
  • This study aims to verify the possibility of using the blog mining to collect public opinion in the field of housing policy, thus, it collected blog posts with the keyword 'Happy Housing', extracted the main keywords from them, and analyzed the public's perception through keyword and word cluster analysis. 137,002 blog posts were used as analysis data from May 2013, when social discussion about happy housing spread, to August 2021, and the words derived by dividing the period into three stages in consideration of major housing policies and data collection were analyzed. The results are as follows. In the keyword analysis, overall, the importance of words related to the location, the number, the size, and the conditions for occupancy of Happy Housing is high. In the first stage, government policy implementation, in the second stage, the application process for Happy Housing, and in the third stage, recruitment notices, occupancy qualifications, and rental conditions are found to be highly important. In cluster analysis, project progress, application process, and project area were drawn as main themes at all stages. In particular, policy implementation and implementation plan in the first stage, occupancy qualification and financial support in the second stage, and policy implementation and occupancy qualification in the third stage were drawn as main themes. These results present the possibility of the blog mining as a method of collecting public opinion by sharing policy-related information, reflecting social issues, evaluating whether policies are delivered, and inferring the public's participation in policies.

Analysis of Research Trends in Information Literacy Education Using Keyword Network Analysis and Topic Modeling (키워드 네트워크 분석과 토픽모델링을 활용한 정보활용교육 연구 동향 분석)

  • Jeong-Hoon, Lim
    • Journal of the Korean Society for information Management
    • /
    • v.39 no.4
    • /
    • pp.23-48
    • /
    • 2022
  • The purpose of this study is to investigate the flow of domestic information literacy education research using keyword network analysis and topic modeling and to explore the direction of information literacy education in the future. For this reason, 306 academic papers related to information literacy education published in academic journals of the library and information science field in Korea were chosen. And through the preprocessing process for abstracts of the paper, total keyword appearance frequency, keyword appearance frequency by period, and keyword simultaneous occurrence frequency were analyzed. Subsequently, keyword network analysis analyzed the degree centrality, between centrality, and eigenvector centrality of keywords. Using structural topic modeling analysis, 15 topics -curriculum, information literacy effect, contents of information literacy education, school library education, information media literacy, information literacy ability evaluation index, library anxiety, public library program, health information literacy ability, digital divide, library assisted instruction improvement, research trend, information literacy model, and teacher role-were derived. In addition, the trend of topics by year was analyzed to confirm the change in relative weight by topic. Based on these results, the direction of information literacy education and the suggestions for follow-up research were presented.