• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.676-693
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• 2016

Although the methodology and models to assess the economic value of technology assets such as patents are being presented in various ways, there does not exist a structured assessment model which enables to objectively assess a database property's value, and thus there is a need to enhance the application feasibility of practical purposes such as licensing of DB assets, commercialization transfer, security, etc., through the establishment of the valuation model and the life-cycle decision logic. In this study, during the valuation process of DB assets, the size of customer demand group expected and the amount of demand, the size and importance of data sets, the approximate degree of database' contribution to the sales performance of a company, the life-cycle of database assets, etc. will be analyzed whether they are appropriate as input variables or not. As for most of DB assets, due to irregular updates there are hardly cases their life-cycle expires, and thus software package's persisting period, ie. 5 years, is often considered the standard. We herein propose the life-cycle estimation logic and valuation models of DB assets based on the concept of half life for DB usage frequency under the condition that DB assets' value decays and there occurs no data update over time.

• Horticultural Science & Technology
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• v.33 no.6
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• pp.947-954
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• 2015

To select suitable spray chrysanthemum cultivars for Agrobacterium-mediated transformation, thirty-nine (39) spray cultivars bred in the National Institutes of Korea and a standard cultivar Jinba from Japan were collected and tested for regeneration rate and Agrobacterium infection assays. MS medium with $0.5mg{\cdot}L^{-1}$ IAA and $1.0mg{\cdot}L^{-1}$ BAP was used for shoot regeneration from leaf disks and internodes. The shoot regeneration rate in leaf disks was the highest in cultivar BRM, followed by cultivars VS, WW and YTM. The cultivar JB (Jinba) used as a transformation material in previous reports ranked similarly to cultivars PK and SPP. In shoot regeneration from internodes, the shoot regeneration rate was the highest for cultivar PA, followed by cultivar WW. The infection rate of leaves and internodes of 40 chrysanthemum cultivars with agrobacterium was investigated. Cultivars WPP, YNW, VS, PP, WW, FA, PA and YMN showed the highest infection levels in leaves, whereas cultivars WPP, PA, PK and YNW had the highest infection levels in internodes. Considering all of these results, cultivars VS and WW were the most appropriate for gene transformation of chrysanthemum using leaves, while cultivar PA was for internodes.

• 대한공업교육학회지
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• v.45 no.2
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• pp.108-130
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• 2020

In order to cope with the rapid changes in science and technology and various societies and complex economies with the advent of the 4th Industrial Revolution, intellectual property education is essential above all. In this study, therefore, intellectual property and the required competences were derived and verified for each field. As for the research method, Delphi technique was used twice for literature review and experts, and the conclusions of the research are as follows. First, the field of intellectual property required in the era of the 4th Industrial Revolution was classified, through literature review and Delphi technique, in eleven sections such as IP-R & D consulting, IP information search analysis, IP entitlement, IP strategic planning, IP transaction, IP finance, IP value evaluation, IP management, global IP management, IP commercialization, and IP disputes, of which validity was verified. Second, It was analyzed that the validity of required competencies derived from each field of intellectual property was reliable. Third, it is generally appropriate to nurture manpower in each field of intellectual property in universities or graduate schools. In addition, it is judged that regular job training of industries such as enterprises and public institutions is necessary regardless of the field.

• Journal of Aerospace System Engineering
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• v.15 no.3
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• pp.45-56
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• 2021

Demand for UAM (Urban Air Mobility) aircraft is rapidly increasing in countries around the world due to the problem of traffic congestion in urban areas. Through research and development, various e-VTOL aircraft concepts are being prepared for commercialization, for which airworthiness certification is required, since it is a manned transportation mode for people to board. Factors that pose a fatal threat to the safe operation of UAM aircraft include lightning strikes that can cause damage to structures and disturb the navigation system, as well as icing that impairs flight stability. Since the current UAM aircraft-related lightning and icing certification technology development is insufficient, there is need to develop appropriate airworthiness certification guidelines. In this study, after analyzing the laws and regulations related to aircraft by the FAA and the EASA, we tried to incorporate the lightning and icing certification guidelines for the UAM aircraft. We also analyzed the effects of lightning and icing on UAM aircraft using computational simulation, and presented the basis for establishing practical guidelines for the certification of UAM aircraft to be adopted in the future.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.12
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• pp.1056-1069
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• 2018

In order to promote the commercial space activities of the private sector, the Trump Administration announced the commercial space regulatory reforms by issuing the Space Policy Directive-2 (SPD-2) on May 24, 2018, followed by the SPD-3 dealing with a separate issue of the space traffic management on June 18. Both executive orders, based on the recommendations prepared by the National Space Council (NSC) reconstituted in June 2017 and signed by the President, involve regulatory reform policy related to launch services, commercial remote sensing, establishment of one-stop shop office in Commerce Department, radio frequency spectrum, export control, and space traffic management, providing a strong guidance to the Federal Government. The commercial space regulatory reform policy can be seen in broader terms of the National Security Strategy earlier announced on Dec. 18, 2017, and as such, it pursues the economic growth of the U.S. and the national security as well. The U.S. law and policy prioritizing its national interests by promoting commercial space activities may lead to concerns and debate on the potential breach of the provisions of the Outer Space Treaty. Hence, it is worth noting the legal implications as derived from the U.S. space policy and domestic legislation, thereby accelerating international discussion to build on international norms as appropriate to the pr ogress of space technology and space commercialization.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.221-241
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• 2018

As we enter the knowledge society, the importance of information as a new form of capital is being emphasized. The importance of information classification is also increasing for efficient management of digital information produced exponentially. In this study, we tried to automatically classify and provide tailored information that can help companies decide to make technology commercialization. Therefore, we propose a method to classify information based on Korea Standard Industry Classification (KSIC), which indicates the business characteristics of enterprises. The classification of information or documents has been largely based on machine learning, but there is not enough training data categorized on the basis of KSIC. Therefore, this study applied the method of calculating similarity between documents. Specifically, a method and a model for presenting the most appropriate KSIC code are proposed by collecting explanatory texts of each code of KSIC and calculating the similarity with the classification object document using the vector space model. The IPC data were collected and classified by KSIC. And then verified the methodology by comparing it with the KSIC-IPC concordance table provided by the Korean Intellectual Property Office. As a result of the verification, the highest agreement was obtained when the LT method, which is a kind of TF-IDF calculation formula, was applied. At this time, the degree of match of the first rank matching KSIC was 53% and the cumulative match of the fifth ranking was 76%. Through this, it can be confirmed that KSIC classification of technology, industry, and market information that SMEs need more quantitatively and objectively is possible. In addition, it is considered that the methods and results provided in this study can be used as a basic data to help the qualitative judgment of experts in creating a linkage table between heterogeneous classification systems.

• Proceedings of the Korean Society of Crop Science Conference
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• 2023.04a
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• pp.7-7
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• 2023

Currently, the main technologies of various fourth industries are big data, the Internet of Things, artificial intelligence, blockchain, mixed reality (MR), and drones. In particular, "digital twin," which has recently become a global technological trend, is a concept of a virtual model that is expressed equally in physical objects and computers. By creating and simulating a Digital twin of software-virtualized assets instead of real physical assets, accurate information about the characteristics of real farming (current state, agricultural productivity, agricultural work scenarios, etc.) can be obtained. This study aims to streamline agricultural work through automatic water management, remote growth forecasting, drone control, and pest forecasting through the operation of an integrated control system by constructing digital twin data on the main production area of the nojinot industry and designing and building a smart farm complex. In addition, it aims to distribute digital environmental control agriculture in Korea that can reduce labor and improve crop productivity by minimizing environmental load through the use of appropriate amounts of fertilizers and pesticides through big data analysis. These open-field agricultural technologies can reduce labor through digital farming and cultivation management, optimize water use and prevent soil pollution in preparation for climate change, and quantitative growth management of open-field crops by securing digital data for the national cultivation environment. It is also a way to directly implement carbon-neutral RED++ activities by improving agricultural productivity. The analysis and prediction of growth status through the acquisition of the acquired high-precision and high-definition image-based crop growth data are very effective in digital farming work management. The Southern Crop Department of the National Institute of Food Science conducted research and development on various types of open-field agricultural smart farms such as underground point and underground drainage. In particular, from this year, commercialization is underway in earnest through the establishment of smart farm facilities and technology distribution for agricultural technology complexes across the country. In this study, we would like to describe the case of establishing the agricultural field that combines digital twin technology and open-field agricultural smart farm technology and future utilization plans.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.95-105
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• 2013

Recently, SME's Collaboration activities have become one of a vital factor for sustaining competitive edge. This is because of the rapidly changing and competitive market environment, and also to leverage performance by overcoming obstacles of having limited internal resources. Discussing about the effects and relationships of the firm's collaboration activities and its outputs are not new. However, as ICT and various technologies have been diffused into the traditional industries, boundaries and practice capabilities within the industries are becoming ambiguous. Thus contents of the products/services and their development methods are also go and come over the industries. Although many researchers suggested the relations of SME's collaboration activities and innovation performances, most of the previous literatures are focusing on broad perspectives of firm's environmental factors rather than considering various SME's idiosyncrasy factors such as their major product and customer types at once. Therefore, the purpose of this paper is to analyze how SME(Small Medium Enterprise)'s external collaboration activities by their idiosyncrasy act as an input to types of innovation performance. In order to analyze collaboration effects in detail, we defined factors that can represent the SME's business environment - Perceived importance of using external resources, Perceived importance of external partnership, Collaboration and Collaboration levels of Major Product types, Customer types and lastly the Firm Sizes. We have also specifically divided the performance of innovation types as product innovation and process innovation based on existing research. In this study, the empirical analysis is based on Probit Regression Model to observe the correlations with the impact of each SME's business environment and their activities. For the empirical data, 497 samples were collected which, this sample data was extracted from the 'Korean Open Innovation Survey' performed by ETRI(Korean Electronics Telecommunications Research Institute) in 2010. As a result, empirical test results indicated that the impact of collaboration varies depend on the innovation types (Product and Process Innovation). The Impact of the collaboration level for the product innovation tend to be more effective when SMEs are developing for a final product, targeting on for individual customers (B2C). But on the other hand, the analysis result of the Process innovation tend to be higher than the product innovation, when SMEs are developing raw materials for their partners or to other firms targeting on for manufacturing industries(B2B). Also perceived importance of using external resources has effected to both product and process innovation performance. But Perceived importance of external partnership was statistically insignificant. Interesting finding was that the service product has negative effects on for the process innovation performance. And Relationship between size of the firms and their external collaboration activities with their performance of the innovations indicated that the bigger firms(over 100 of employees) tend to have better for both product and process innovations. Finally, implications of the results can be suggested as performance of innovation can be varied depends on firm's unique business idiosyncrasy as well as levels of external collaboration activities. The Implication of this research can be considered for firms in selecting an appropriate strategy as well as for policy makers.