• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.3
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• pp.375-388
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• 2019

Accurate evaluation of sea-to-air $CO_2$ flux and its variability is crucial information to the understanding of global carbon cycle and the prediction of atmospheric $CO_2$ concentration. $fCO_2$ observations are sparse in space and time in the East Sea. In this study, we derived high resolution time series of surface $fCO_2$ values in the southwest East Sea, by feeding sea surface temperature (SST), salinity (SSS), chlorophyll-a (CHL), and mixed layer depth (MLD) values, from either satellite-observations or numerical model outputs, to three machine learning models. The root mean square error of the best performing model, a Random Forest (RF) model, was $7.1{\mu}atm$. Important parameters in predicting $fCO_2$ in the RF model were SST and SSS along with time information; CHL and MLD were much less important than the other parameters. The net $CO_2$ flux in the southwest East Sea, calculated from the $fCO_2$ predicted by the RF model, was $-0.76{\pm}1.15mol\;m^{-2}yr^{-1}$, close to the lower bound of the previous estimates in the range of $-0.66{\sim}-2.47mol\;m^{-2}yr^{-1}$. The time series of $fCO_2$ predicted by the RF model showed a significant variation even in a short time interval of a week. For accurate evaluation of the $CO_2$ flux in the Ulleung Basin, it is necessary to conduct high resolution in situ observations in spring when $fCO_2$ changes rapidly.

• Korean Journal of Heritage: History & Science
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• v.55 no.2
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• pp.214-230
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• 2022

This paper discusses the characteristics and background of the production of white porcelain with the "Byeol(別)" inscription. Such porcelain was produced by the government-run porcelain kiln, Gwanyo(官窯), in the 16th and 17th centuries (from the 1560s to the 1640s), during the Joseon dynasty. The white porcelain ware, inscribed with either the term Byeol or "jwa(左)" and "u(右)," constituted a dual production system of white porcelain by Gwanyo starting in the 1560s. However, to date, few studies have examined Byeol-inscribed white porcelain. This, therefore, makes it difficult to achieve a comprehensive understanding of the evolution of inscriptions on the white porcelain produced by Gwanyo in the 15th to 17th centuries. Besides a regular annual stock of porcelain(年例進上磁器), Gwanyo also produced and supplied additional porcelain ware, or Byeol-gi, at the behest of the royal family or the court of Joseon. Byeol-inscribed white porcelain is a form of Byeol-gi, produced through extra firing, or Byeolbeon(別燔). According to use, Byeol-gi can be categorized as an item for national use(國用) or an item for internal use(內用). However, if the porcelain only carries the "Byeol(別)" inscription, it is difficult to identify its characteristics. Furthermore, as part of the annual production of porcelain was for the supply of Byeol-gi, and then for other purposes, the white porcelain came to be inscribed with dots indicating a change in ownership. In the 16th century, the royal family increased its consumption of white porcelain based on Shinyu Gongan(辛酉貢案), the government's fiscal reform measures. To guarantee a stable supply of exceptional Byeol-gi in light of Gwanyo's decline in the 1560s, the royal family benefited from the inscription of "Byeol." The white porcelain produced by Gwanyo was divided into annual offerings-those with the inscriptions "jwa(左)" and "u(右)"-and Byeol-gi, those with the inscription of "Byeol." They were managed separately from the commencement of production. Byeol-inscribed white porcelain was produced until the 1640s. During the mid-and late 1640s, Byeolbeon was temporarily suspended. Starting in the 1650s, the white clay used to produce the annual stock of white porcelain was sourced from regions other than those providing the clay for Byeol-gi production. The former used clay from Wonju(原州土) and Seosan(瑞山土), while the latter used clay from Gyeongju(慶州土) and Seoncheon(宣川土). According to the literature, the clay from Gyeongju and Seoncheon was much cleaner than that from Wonju and Seosan. Byeolbeon thus underwent a transformation, whereby production was separately managed, right from the stage of white clay mining. Ultimately, the need for the separate management of Byeol-gi through inscriptions diminished, resulting in the disappearance of Byeol-inscribed white porcelain.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.215-235
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• 2024

As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

• Information Systems Review
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• v.21 no.4
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• pp.143-156
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• 2019

Types of innovation can be categorized into simplification, information, automation, and intelligence. Intelligence is the highest level of innovation, and RPA can be seen as one of intelligence. Robotic Process Automation(RPA), a software robot with artificial intelligence, is an example of intelligence that is suited for simple, repetitive, large-scale transaction processing tasks. The RPA, which is already in operation in many companies in Korea, shows what needs to be done to naturally focus on the core tasks in a situation where the need for a strong organizational culture is increasing and the emphasis is on voluntary leadership, strong teamwork and execution, and a professional working culture. The introduction was considered naturally according to the need to find. Robotic Process Automation, or RPA, is a technology that replaces human tasks with the goal of quickly and efficiently handling structural tasks. RPA is implemented through software robots that mimic humans using software such as ERP systems or productivity tools. RPA robots are software installed on a computer and are called robots by the principle of operation. RPA is integrated throughout the IT system through the front end, unlike traditional software that communicates with other IT systems through the back end. In practice, this means that software robots use IT systems in the same way as humans, repeat the correct steps, and respond to events on the computer screen instead of communicating with the system's application programming interface(API). Designing software that mimics humans to communicate with other software can be less intuitive, but there are many advantages to this approach. First, you can integrate RPA with virtually any software you use, regardless of your openness to third-party applications. Many enterprise IT systems are proprietary because they do not have many common APIs, and their ability to communicate with other systems is severely limited, but RPA solves this problem. Second, RPA can be implemented in a very short time. Traditional software development methods, such as enterprise software integration, are relatively time consuming, but RPAs can be implemented in a relatively short period of two to four weeks. Third, automated processes through software robots can be easily modified by system users. While traditional approaches require advanced coding techniques to drastically modify how they work, RPA can be instructed by modifying relatively simple logical statements, or by modifying screen captures or graphical process charts of human-run processes. This makes RPA very versatile and flexible. This RPA is a good example of the application of digital to intelligence(D2I).