• Title/Summary/Keyword: technology trends

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Review on Mega-trends in shipping and port & its implications

  • Kim Hyun-Duk;Ahan Ki-Myoung
    • Journal of Navigation and Port Research
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    • v.29 no.7
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    • pp.635-640
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    • 2005
  • This paper aims to understand and analyze the mega-trends such as trends towards larger vessels due to an increasing trade volume, accordingly fewer port calls, strategic alliances and M&A Increasing degree of concentration through M&A activities in shipping industry results in a decreasing number of shipping finns with an increasing share in the world shipping capacity. But competition is strongly increasing on main trunk routes. Therefore, shipping concentration directly leads to further concentration of port traffic in fewer and larger ports with an increasing competition among neighboring ports.

A Study on Hair Styles Featuring Technological Images (테크놀로지 이미지적 헤어스타일에 관한 연구)

  • Oh, Moon-Gyun;Im, Young-Ja
    • Journal of the Korean Society of Fashion and Beauty
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    • v.2 no.1 s.1
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    • pp.34-45
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    • 2004
  • Hair styles which independently coexist by transcending the time and space under the environment of highly developed information and communication technology of recent years, were analyzed. Moreover the concerned trends of art which influenced on these styles were introduced in this study. Through IT based information exchange produced new hair styles which have the technological images. The characteristics of these hair styles are investigated also. For the examination of yearly trends, hair styles in fashion collections of Yves Saint Larent during 1962 to 1999 were examined and classified. The results show that time variated trends are appeared in this period. For the analysis of the trends of hair styles featuring technological images, hair styles in fashion collection of Christian Dior, Giorgio Armani, Gucci, Jean Paul Gaultier and Chanel in the early 2000s are quoted.

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Edge Computing Market Trends and Application Scenarios (엣지 컴퓨팅 시장 동향 및 산업별 적용 사례)

  • Shin, S.S.;Min, D.H.;Ahn, J.Y.;Kim, S.M.
    • Electronics and Telecommunications Trends
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    • v.34 no.2
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    • pp.51-59
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    • 2019
  • Edge computing, which is computing on the edge of the network, is becoming a market value as a means of overcoming the fear of communication disconnection and delay reduction, which are the technical weaknesses of cloud computing. Edge computing is continuously expanding applications in various applications such as safety industry, smart factories, autonomous vehicles, mobile communications, and AR/VR. Looking at edge computing trends from Microsoft, IBM, HPE, and Dell EMC, current edge computing must be understood as an integral binding technology and not as a simple complement to the cloud. This paper examines market trends in edge computing and analyzes the impact of edge computing on major related industries.

Topics and Trends in Metadata Research

  • Oh, Jung Sun;Park, Ok Nam
    • Journal of Information Science Theory and Practice
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    • v.6 no.4
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    • pp.39-53
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    • 2018
  • While the body of research on metadata has grown substantially, there has been a lack of systematic analysis of the field of metadata. In this study, we attempt to fill this gap by examining metadata literature spanning the past 20 years. With the combination of a text mining technique, topic modeling, and network analysis, we analyzed 2,713 scholarly papers on metadata published between 1995 and 2014 and identified main topics and trends in metadata research. As the result of topic modeling, 20 topics were discovered and, among those, the most prominent topics were reviewed in detail. In addition, the changes over time in the topic composition, in terms of both the relative topic proportions and the structure of topic networks, were traced to find past and emerging trends in research. The results show that a number of core themes in metadata research have been established over the past decades and the field has advanced, embracing and responding to the dynamic changes in information environments as well as new developments in the professional field.

Trends in markets for home meal replacamnets (가정간편식의 시장 동향 분석)

  • Kim, Young-Wan
    • Food Science and Industry
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    • v.50 no.1
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    • pp.57-66
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    • 2017
  • Home meal replacements (HMR) are kinds of convenient foods as cooked or semi-cooked foods, which are produced outside of home, to eat directly or after simple cooking in substitution for traditional home meals. Recently the market size for HMR is expanding rapidly around the world due to the changes of global consumer trends, growth of single-person household, increase in economic participation of women, aging population, and so on. The Europe takes over 52.4% of the global market share for HMR in global HMR market, and North America, Asia-Pacific, and Africa-Middle East are following. The most popular HMR products in US and Europe are frozen foods, whereas the market share of chilled products in Asia including Japan, South Korea, and Vietnam are much higher than that in US and Europe. Currently, the trends in HMR is focus on the expansion of the list of products that replace for meals with simple cooking, but it is expected that nutrition-enforced HMR product for aged persons or patients who live alone are requested for the further growth of the HMR market.

A study on changes in domestic tourism trends using social big data analysis - Comparison before and after COVID19 -

  • Yoo, Kyoung-mi;Choi, Youn-hee
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.98-108
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    • 2022
  • In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.