• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.122.1-122.1
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• 2011

We propose a program of conducting research of young supernovae in nearby galaxies using the KMTNet facilities. Thanks to the wide field ($2^{\circ}{\times}2^{\circ}$) with multiple filters and the continuous sky coverage using the three 1.6 m telescopes, the KMTNet can provide an unprecedented opportunity for studying supernovae. The primary program is twofold: it can be used as a discovery facility of young supernovae and also as a facility providing multi-band photometric data of unprecedentedly high cadence for supernovae light curves.

• The Bulletin of The Korean Astronomical Society
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• v.38 no.1
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• pp.42.2-42.2
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• 2013

The F-GAMMA (FERMI-GST AGN Multi-frequency Monitoring Alliance) project is a program for the monthly monitoring of the broad-band spectra of currently about 90 selected Fermi-GST AGNs. F-GAMMA utilizes several facilities in cm, mm, sub-mm, infrared and optical bands, achieving an unprecedented coverage for the study of the spectral evolution of powerful relativistic jets in AGNs. The KVN joined the F-GAMMA project in May 2011, aiming to monitor flux density at 22 and 43 GHz. We present the preliminary results of flux density variability, evolution of spectral index, and modulation index.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.1
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• pp.75.2-75.2
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• 2016

We introduce Korean involvement in the Large Synoptic Survey Telescope Project and activities organized by a group of Korean astronomers as LSST Korea. The Korea Astronomy and Space Science Institute plans to sign a memorandum of agreement with Large Synoptic Survey Telescope Corporation this year. Although the project will start its commissioning observation around 2020, Korean preparation for the LSST era should be initiated now because of an unprecedented amount of data produced in the LSST. We explain current status of our efforts for the LSST Korea.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.413-414
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• 2012

Currently the amount and variety of data being generated is unprecedented and dramatically changes the way individuals, groups, and societies act and make decisions. Visualization is one of the most important commonly used methods of analyzing and interpreting digital assets and the interactive environments are necessary to enable effective discovery and decision making. In this paper we present several examples and approaches to scalable functional representations and interactive visualization and analysis. The functional representations provide us unified, compact, continuous, multi-scale, and compressed representations in the data domain.

• Journal of the Korean Magnetic Resonance Society
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• v.1 no.1
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• pp.71-77
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• 1997

Substritenone B, sesterterpenoids of an unprecedented akeletal class, has been isolated from the Antarctic sponge Suberites sp. Structure of this compound has been determined by combined spectral and chemical studies.

• Clinical and Experimental Pediatrics
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• v.64 no.8
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• pp.400-405
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• 2021

The development of vaccines against severe acute respiratory syndrome coronavirus 2, which features high mortality and morbidity rates, has progressed at an unprecedented rate, and vaccines are currently in use worldwide. Thrombotic events after vaccination are accompanied by thrombocytopenia, and this issue was recently termed vaccine-induced immune thrombotic thrombocytopenia. This manuscript describes recently published guidelines and other related issues and demonstrates characteristic cases.

• Annals of Clinical Neurophysiology
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• v.23 no.1
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• pp.29-34
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• 2021

New therapeutics in neurology are expanding at an unprecedented pace. In addition to the classic enzyme-replacement therapies, monoclonal antibodies are increasingly being used to modulate autoimmunity. RNA therapeutics are an emerging class, together with gene and cell therapies. The nomenclature of international nonproprietary names helps us to recognize these new drugs according to their class and function. Suffixes denote major categories of the drug, while infixes provide additional information such as the source and target.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.4 no.4
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• pp.135-140
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• 2023

The intricate relationship between species and their ecosystems has been a focal point of ecological research for decades. With the advent of big data and artificial intelligence, we are now able to explore this relationship with unprecedented depth and precision. This review delves into the transformative role of these technologies in ecological research, emphasizing their potential to enhance our understanding of species-ecosystem linkages.

• Journal of Korean Society for Quality Management
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• v.46 no.2
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• pp.225-242
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• 2018

Purpose: Recent trends have shown that the usage of big data analysis is becoming the core of identifying promising future technologies and emerging technologies. Accordingly, applying these trends by analyzing defense related data in such sources as journals, articles, and news will provide crucial clues in predicting and identifying core future technologies that can be used to develop creative and unprecedented future weapon systems that could change the warfare. Methods: To identify technology fields that are closely related to the 4th industrial revolution and recent technology development trends, environmental analysis, text mining, and military applicability survey have been included in the process. After the identification of core technologies that are militarily applicable, future weapon systems based on these technologies as well as their operation concepts are suggested. Results: Through the study, 73 important trends, from which 11 mega trends are derived, are identified. These mega trends can be expressed by 13 promising technology fields. From these technology fields, 248 promising future technologies are identified. Afterwards, further assessment is performed, which leads to the selection of 63 core technologies from the pool. These are named as "future defense technologies" which then become the bases for 40 future weapons systems that the military can use. Conclusion: Predicting future technologies using text mining analysis have been attempted by various organizations across the globe, especially in the fields related to the 4th industrial revolution. However, the application of it in the field of defense industry is unprecedented. Therefore, this study is meaningful in that it not only enables the military personnel to see promising future technologies that can be utilized for future weapon system development, but helps one to predict the future defense technologies using the method introduced in the paper.

• Journal of Distribution Science
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• v.10 no.3
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• pp.7-13
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• 2012

Recently, with the success of Groupon in the USA using the new business model referred to as social commerce, which is a commercial transaction involving group purchases on social network service (SNS), social commerce business receives much attention. Social commerce is capable of effectively promoting additional purchasing by customers through unprecedented price discounts and limiting the number of purchasers and time allotted for purchases, and is able to achieve promotional effects over and above those of simple product promotion due to customers' voluntary word of mouth. Although social commerce is effective for short-term increase in the sales of products, there are numerous dissenting opinions on whether it can promote repurchasing by customers. In particular, social commerce in Korea focuses only on unprecedented discounted prices and does not have the marketing effect that SNS can produce over and above the sales promotion. The objective of this study is to find the factors that influence the repurchase intention on social commerce and to analyze factors that contribute the social commerce product. For this, this study extracts repurchase intention factors and computes a repurchase probability to assess the influence of factors other than price discount on social commerce customers at the time of repurchasing. In addition, the importance of factors toward sales revenue for each of the social commerce products (e.g., restaurant/café, beauty, tour/leisure, show/exhibition, and fashion/clothes) is estimated by using the computed repurchase probabilities. The repurchase probability through the analysis can be used for development of social commerce business in Korea.