• Title/Summary/Keyword: Distribution and trends

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Key Trends in Supertall Buildings - A Review of the World's 100 Tallest Buildings in the Last 30 Years

  • Shasha Wang;Daniel Safarik;Zhendong Wang
    • International Journal of High-Rise Buildings
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    • v.12 no.1
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    • pp.1-9
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    • 2023
  • The last 30 years have seen a rapid growth in the number of supertall buildings across the world, with newly completed buildings continuing to rank among the tallest 100 every year. Chinese projects notably play a pivotal role in these constant updates. It is caused by the interweaving of population and urbanization, economic considerations, and further, a series of accompanying urban problems. This paper focuses on the world's 100 tallest buildings in the last 30 years, and compares this collection of projects across five years via the dimensions of height, distribution, function and structural material. The intention is to discuss and interpret the influence factors and developing trends, some of which have been apparent over a dozen years, while others are just beginning to take shape, thus to provide an opportunity to preview the types of supertall buildings in the future.

Recent Technology Trends of Free-Space Quantum Key Distribution System and Components (무선 양자암호통신 시스템 및 부품 최신 기술 동향)

  • Youn, C.J.;Ko, H.;Kim, K.J.;Choi, B.S.;Choe, J.S.
    • Electronics and Telecommunications Trends
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    • v.33 no.6
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    • pp.94-106
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    • 2018
  • A quantum key distribution (QKD) provides in principle an unconditional secure communication unlike the standard public key cryptography depending on the computational complexity. In particular, free-space QKD can give a secure solution even without a fiber-based infrastructure. In this paper, we investigate an overview of recent research trends in the free-space QKD system, including satellite and handheld moving platforms. In addition, we show the key components for a free-space QKD system such as the integrated components, single photon detectors, and quantum random number generator. We discuss the technical challenges and progress toward a future free- space QKD system and components.

Changes in $SO_{2}$ Concentration from Major Cities and Provinces in Korea: A Case Study from 1998 to 2003

  • Nguyen Hang Thi;Kim Ki-Hyun
    • Journal of Korean Society for Atmospheric Environment
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    • v.21 no.E3
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    • pp.95-105
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    • 2005
  • The concentrations of sulfur dioxide ($SO_{2}$) were measured from seven major cities and nine provinces in Korea for the period covering 1998 to 2003. Its concentration data were analyzed to explore the possible influences of spatial and temporal factors on the $SO_{2}$ distribution characteristics. Examination of spatial trends of $SO_{2}$ distribution and behavior indicated several interesting features. Although its annual trends appeared to be affected by the changes in the surrounding environmental conditions (e.g., regulation on the use of S-containing fuels), the seasonal trends indicated a cyclic and systematic pattern that may be characterized as: a gradual decrease in concentrations across winter, spring, fall, and summer. The results showed the generally enhanced mean concentrations of $SO_{2}$ from Ulsan, Busan, and Daegu with 12.8, 10.1, and 8.80 ppb, respectively. On the other hand, notably reduced $SO_{2}$ concentrations were seen from Gwangju and Jeju sites with its mean values of 5.43 and 3.88 ppb, respectively. The overall results of our study indicate that a decrease in $SO_{2}$ concentration levels continued through time, while its spatial distribution appears to be affected most sensitively by such factor as city scale and industrial activities.

Analysis of Global Media Reporting Trends for K-fashion -Applying Dynamic Topic Modeling- (K 패션에 대한 글로벌 미디어 보도 경향 분석 -다이내믹 토픽 모델링(Dynamic Topic Modeling)의 적용-)

  • Hyosun An;Jiyoung Kim
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.6
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    • pp.1004-1022
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    • 2022
  • This study seeks to investigate K-fashion's external image by examining the trends in global media reporting. It applies Dynamic Topic Modeling (DTM), which captures the evolution of topics in a sequentially organized corpus of documents, and consists of text preprocessing, the determination of the number of topics, and a timeseries analysis of the probability distribution of words within topics. The data set comprised 551 online media articles on 'Korean fashion' or 'K-fashion' published on Google News between 2010 and 2021. The analysis identifies seven topics: 'brand look and style,' 'lifestyle,' 'traditional style,' 'Seoul Fashion Week (SFW) event,' 'model size,' 'K-pop,' and 'fashion market,' as well as annual topic proportion trends. It also explores annual word changes within the topic and indicates increasing and decreasing word patterns. In most topics, the probability distribution of the word 'brand' is confirmed to be on the increase, while 'digital,' 'platform,' and 'virtual' have been newly created in the 'SFW event' topic. Moreover, this study confirms the transition of each K-fashion topic over the past 12 years, along with various factors related to Hallyu content, traditional culture, government support, and digital technology innovation.

Overseas Research Trends Related to 'Research Ethics' Using LDA Topic Modeling

  • YANG, Woo-Ryeong;YANG, Hoe-Chang
    • Journal of Research and Publication Ethics
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    • v.3 no.1
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    • pp.7-11
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    • 2022
  • Purpose: The purpose of this study is to derive clues about the development direction of research ethics and areas of interest which has recently become a social issue in Korea by confirming overseas research trends. Research design, data and methodology: We collected 2,760 articles in scienceON, which including 'research ethics' in their paper. For analysis, frequency analysis, word clouding, keyword association analysis, and LDA topic modeling were used. Results: It was confirmed that many of the papers were published in medical, bio, pharmaceutical, and nursing journals and its interest has been continuously increasing. From word frequency analysis, many words of medical fields such as health, clinical, and patient was confirmed. From topic modeling, 7 topics were extracted such as ethical policy development and human clinical ethics. Conclusions: We founded that overseas research trends on research ethics are related to basic aspects than Korea. This means that a fundamental approach to ethics and the application of strict standards can become the basis for cultivating an overall ethical awareness. Therefore, academic discussions on the application of strict standards for publishing ethics and conducting researches in various fields where community awareness and social consensus are necessary for overall ethical awareness.

A study on the evaluation of and demand forecasting for real estate using simple additive weighting model: The case of clothing stores for babies and children in the Bundang area

  • Ryu, Tae-Chang;Lee, Sun-Young
    • Journal of Distribution Science
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    • v.10 no.11
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    • pp.31-37
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    • 2012
  • Purpose - This study was conducted under the assumption that brand A, a store of company Z of Pangyo, with a new store at Pangyo station is targeting the Bundang-gu area of the newly developed city of Seongnam. Research design, data, methodology - As a result of demand forecasting using geometric series models, an extrapolation of past trends provided the coefficient estimates, without utilizing regression analysis on a constant increase in children's wear, for which the population size and estimated parameter were required. Results - Demand forecasting on the basis of past trends indicates the likelihood that sales of discount stores in the Bundang area, where brand A currently has a presence, would fetch a higher estimated value than that of the average discount store in the country during 2015. If past trends persist, future sales of operational stores are likely to increase. Conclusions - In evaluating location using the simple weighting model, Seohyun Lotte Mart obtained a high rating amongst new stores in Pangyo, on the basis of accessibility, demand class, and existing stores. Therefore, when opening a new counter at a relevant store, a positive effect can be predicted.

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Cluster and information entropy analysis of acoustic emission during rock failure process

  • Zhang, Zhenghu;Hu, Lihua;Liu, Tiexin;Zheng, Hongchun;Tang, Chun'an
    • Geomechanics and Engineering
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    • v.25 no.2
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    • pp.135-142
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    • 2021
  • This study provided a new research perspective for processing and analyzing AE data to evaluate rock failure. Cluster method and information entropy theory were introduced to investigate temporal and spatial correlation of acoustic emission (AE) events during the rock failure process. Laboratory experiments of granite subjected to compression were carried out, accompanied by real-time acoustic emission monitoring. The cumulative length and dip angle curves of single links were fitted by different distribution models and distribution functions of link length and directionality were determined. Spatial scale and directionality of AE event distribution, which are characterized by two parameters, i.e., spatial correlation length and spatial correlation directionality, were studied with the normalized applied stress. The entropies of link length and link directionality were also discussed. The results show that the distribution of accumulative link length and directionality obeys Weibull distribution. Spatial correlation length shows an upward trend preceding rock failure, while there are no remarkable upward or downward trends in spatial correlation directionality. There are obvious downward trends in entropies of link length and directionality. This research could enrich mathematical methods for processing AE data and facilitate the early-warning of rock failure-related geological disasters.

Comparison of Research Trends in KODISA Directly Managed Journals Using Keyword Analysis

  • YANG, Hoe-Chang;YANG, Woo-Ryeong
    • Journal of Research and Publication Ethics
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    • v.2 no.1
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    • pp.19-24
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    • 2021
  • Purpose: The purpose of this study is to check the direction of KODISA's pursuit of complex and convergence studies by confirming the research trends of KODISA's direct academic journals such as JDS, JIDB, JBEES and JAFEB. To this end, we tried to compare and confirm the research trends of the papers in four academic journals targeting keywords. Research Design, data and methodology: The analysis was conducted from 2014 to 2020 on 867 papers from JDS, 315 papers from JIDB, 120 papers from JBEES, and 867 papers based on the publication year of the most recently published journal from JAFEB. For the analysis, frequency analysis, word crowding, topic modeling, and frequency analysis by applying weights for each year group were performed on the keywords crawled using Python. Results: The results of frequency analysis showed that each journal is properly oriented toward its target direction. In addition, it was confirmed that the results of topic modeling significantly reflected the results of frequency analysis. Finally, it could be concluded that the results of frequency analysis using the weights of keywords by year group were also developing in the direction the target journals were analyzed. Specifically, in the case of JDS, 20 keywords such as Service Quality, Distribution were found to increase continuously according to the year group. Meanwhile, the keywords that continued to increase according to JIDB's year group were India, Social Capital, and Job Stress. The keywords that continued to increase according to the year group of JBEES were Micro Finance Institutions and Microfinance, and the keywords that of JAFEB were confirmed to be Vietnam and Service Quality. Conclusion: It was confirmed that KODISA's direct management journals responded appropriately to convergence issues. In particular, it was confirmed that researches in various fields of JDS are continuously increasing. However, it seems that JIDB needs to deal with various issues additionally in the service industry field and JBEES in the environment field. Finally, it was found that JAFEB needs to be wary of the relatively low level of interest in some countries such as Kazakhstan and India in recent years.

Trends and Future Directions of Corporate e-learning Contents (기업교육 이러닝 콘텐츠의 동향과 발전 방향)

  • Jung, Hyojung
    • The Journal of Industrial Distribution & Business
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    • v.9 no.2
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    • pp.65-72
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    • 2018
  • Purpose - One of the biggest problems in the e-learning distribution process is the lack of quality content and learners' discredit in e-learning content. In order to respond to the various demands of the corporate education field appropriately, it is necessary to search for directions of new e-learning models that are out of traditional e-learning contents. The purpose of this study is to identify recent trend issues related to corporate e-learning and to suggest directions for development. Research design, data, and methodology - Based on the literature review, trend issues that should be considered important in corporate e-learning were derived. Online survey was conducted to evaluate the importance-feasibility of each issue to 13 experts on e-learning and corporate education. The contents of the questionnaire are as follows: 1) recognition of importance and feasibility of trend issues to be considered important in the future corporate education field; 2) factors to be considered in developing future e-learning contents. Results - Six trends derived from a comprehensive literature review. The most important e-learning trends for corporate education field were 'mobile learning', 'micro learning', 'blended learning', 'social learning', 'adaptive learning', 'engaged learning'. As a result of evaluating the importance and feasibility of each issue, experts point out that 'mobile learning' and 'micro learning' should be actively considered for introduction and utilization at present. In addition, 'social learning' and 'blended learning' need to be actively considered in the near future. On the other hand, experts recognized that 'adaptive learning' and 'engaged learning' need to be prepared from a long-term perspective. Conclusions - There are two main reasons for this result. First, in corporate e-learning, it is important to 1) be able to update on time, 2) the connection with the workplace is important. Second, it requires realistic verification of the expected performance of the learning model. To be considered part of the future are as follows: First, the value and effectiveness of the new e-learning type should be studied. Seconds, e-learning contents should be developed through adopting SAM or Agile methodology. Through this process, we would be able to enhance the quality in e-learning content.

Rewards, Satisfaction and Economic Trends under Nonlinear Assumption

  • KHALID, Komal;SH OAIB, Adnan
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.2
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    • pp.287-298
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    • 2019
  • The purpose of this study to investigate the impact of rewards on job satisfaction and whether economic trends moderate the relationship of job satisfaction and rewards or not. Furthermore, this study also investigates whether the relationship between job satisfaction and reward is linear or nonlinear and whether the relationship diminishes or improves with predictor inclusion. Data collection was done through online and self-administered questionnaires by adopting cluster sampling technique from higher education institutions of Pakistan. Results based on 2160 responses suggest that economic trends moderate the relationship of job satisfaction and reward while assuming the economic trends as perceived rewards. The logit model was adopted to probabilistic relationship between job satisfaction and reward in moderation with economics trends. The moderations magnify the impact of rewards on job satisfaction. The job satisfaction is more sensitive to extrinsic reward as compared to intrinsic reward. The relationship of job satisfaction and reward is nonlinear for both extrinsic and intrinsic reward suggesting the diminishing relationship of job satisfaction and rewards. This study has pivotal implication for the higher education sector as it helps the sector to align the rewards with economic and trends and can normalize the reward after assessing the nonlinear stricture of relationship.