• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.1-21
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• 2021

As the global business environment changes, uncertainties in technology development and market needs increase, and competition among companies intensifies, interests and demands for R&D activities of individual companies are increasing. In order to cope with these environmental changes, R&D companies are strengthening R&D investment as one of the means to enhance the qualitative competitiveness of R&D while paying more attention to facility investment. As a result, facilities or R&D investment elements are inevitably a burden for R&D companies to bear future uncertainties. It is true that the management strategy of increasing investment in R&D as a means of enhancing R&D capability is highly uncertain in terms of corporate performance. In this study, the structural factors that influence the R&D capabilities of companies are explored in terms of technology management capabilities, R&D capabilities, and corporate classification attributes by utilizing data mining techniques, and the characteristics these individual factors present according to the level of R&D capabilities are analyzed. This study also showed cluster analysis and experimental results based on evidence data for all domestic R&D companies, and is expected to provide important implications for corporate management strategies to enhance R&D capabilities of individual companies. For each of the three viewpoints, detailed evaluation indexes were composed of 7, 2, and 4, respectively, to quantitatively measure individual levels in the corresponding area. In the case of technology management capability and R&D capability, the sub-item evaluation indexes that are being used by current domestic technology evaluation agencies were referenced, and the final detailed evaluation index was newly constructed in consideration of whether data could be obtained quantitatively. In the case of corporate classification attributes, the most basic corporate classification profile information is considered. In particular, in order to grasp the homogeneity of the R&D competency level, a comprehensive score for each company was given using detailed evaluation indicators of technology management capability and R&D capability, and the competency level was classified into five grades and compared with the cluster analysis results. In order to give the meaning according to the comparative evaluation between the analyzed cluster and the competency level grade, the clusters with high and low trends in R&D competency level were searched for each cluster. Afterwards, characteristics according to detailed evaluation indicators were analyzed in the cluster. Through this method of conducting research, two groups with high R&D competency and one with low level of R&D competency were analyzed, and the remaining two clusters were similar with almost high incidence. As a result, in this study, individual characteristics according to detailed evaluation indexes were analyzed for two clusters with high competency level and one cluster with low competency level. The implications of the results of this study are that the faster the replacement cycle of professional managers who can effectively respond to changes in technology and market demand, the more likely they will contribute to enhancing R&D capabilities. In the case of a private company, it is necessary to increase the intensity of input of R&D capabilities by enhancing the sense of belonging of R&D personnel to the company through conversion to a corporate company, and to provide the accuracy of responsibility and authority through the organization of the team unit. Since the number of technical commercialization achievements and technology certifications are occurring both in the case of contributing to capacity improvement and in case of not, it was confirmed that there is a limit in reviewing it as an important factor for enhancing R&D capacity from the perspective of management. Lastly, the experience of utility model filing was identified as a factor that has an important influence on R&D capability, and it was confirmed the need to provide motivation to encourage utility model filings in order to enhance R&D capability. As such, the results of this study are expected to provide important implications for corporate management strategies to enhance individual companies' R&D capabilities.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.139-160
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• 2017

Technology commercialization creates effective economic value by linking the company's R & D processes and outputs to the market. This technology commercialization is important in that a company can retain and maintain a sustained competitive advantage. In order for a specific technology to be commercialized, it goes through the stage of technical planning, technology research and development, and commercialization. This process involves a lot of time and money. Therefore, the duration and cost of technology commercialization are important decision information for determining the market entry strategy. In addition, it is more important information for a technology investor to rationally evaluate the technology value. In this way, it is very important to scientifically estimate the duration and cost of the technology commercialization. However, research on technology commercialization is insufficient and related methodology are lacking. In this study, we propose an evaluation model that can estimate the duration and cost of R & D technology commercialization for small and medium-sized enterprises. To accomplish this, this study collected the public data of the National Science & Technology Information Service (NTIS) and the survey data provided by the Small and Medium Business Administration. Also this study will develop the estimation model of commercialization duration and cost of R&D performance on using these data based on the market approach, one of the technology valuation methods. Specifically, this study defined the process of commercialization as consisting of development planning, development progress, and commercialization. We collected the data from the NTIS database and the survey of SMEs technical statistics of the Small and Medium Business Administration. We derived the key variables such as stage-wise R&D costs and duration, the factors of the technology itself, the factors of the technology development, and the environmental factors. At first, given data, we estimates the costs and duration in each technology readiness level (basic research, applied research, development research, prototype production, commercialization), for each industry classification. Then, we developed and verified the research model of each industry classification. The results of this study can be summarized as follows. Firstly, it is reflected in the technology valuation model and can be used to estimate the objective economic value of technology. The duration and the cost from the technology development stage to the commercialization stage is a critical factor that has a great influence on the amount of money to discount the future sales from the technology. The results of this study can contribute to more reliable technology valuation because it estimates the commercialization duration and cost scientifically based on past data. Secondly, we have verified models of various fields such as statistical model and data mining model. The statistical model helps us to find the important factors to estimate the duration and cost of technology Commercialization, and the data mining model gives us the rules or algorithms to be applied to an advanced technology valuation system. Finally, this study reaffirms the importance of commercialization costs and durations, which has not been actively studied in previous studies. The results confirm the significant factors to affect the commercialization costs and duration, furthermore the factors are different depending on industry classification. Practically, the results of this study can be reflected in the technology valuation system, which can be provided by national research institutes and R & D staff to provide sophisticated technology valuation. The relevant logic or algorithm of the research result can be implemented independently so that it can be directly reflected in the system, so researchers can use it practically immediately. In conclusion, the results of this study can be a great contribution not only to the theoretical contributions but also to the practical ones.

• Journal of Science and Technology Studies
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• v.17 no.1
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• pp.71-115
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• 2017

In 1953, theoretical physicist George Gamow attempted to explain the process of protein synthesis by hypothesizing that the base sequence of DNA encodes a protein's amino acid sequence and, in response, proposed the nucleic acid-protein information transfer model, which he dubbed the "diamond code." After expressing interest in discussing the daring hypothesis, contemporary biologists, including James Watson, Francis Crick, Sydney Brenner, and Gunther Stent, were soon invited to join the RNA Tie Club, an informal research group that would also count biologists and various researchers in physics, mathematics, and computer engineering among its members. In examining the club's formation, growth, and decline in multidisciplinary research on deciphering the genetic code in the 1950s, this paper first investigates whether Gamow's idiosyncratic approach could be adopted as a collaborative research forum among contemporary biologists. Second, it explores how the RNA Tie Club's research agenda could have been expanded to other relevant research topics needing multidisciplinary approach? Third, it asks why and how the RNA Tie Club dissolved in the late 1950s. In answering those questions, this paper shows that analyses on the intersymbol correlation of the overlapping code functioned to integrate diverse approaches, including sequence decoding and statistical analysis, in research on the genetic code. As those analyses reveal, the peculiar approaches of the RNA Tie Club could be regarded as a useful method for biological research. The paper also concludes that the RNA Tie Club dissolved in the late 1950s due to the disappearance of the collaborative research agenda when the overlapping code hypothesis was abandoned.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.4
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• pp.1073-1084
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• 2016

The purpose of this study is to present the correct direction of research in related fields by analyzing the trends in the domestic study right to be forgotten. In this study, the final selection of 80 pieces of research papers in various disciplines to search for the study and were analyzed by setting the seven criteria and three research questions. Results, notice that significantly increase the amount of research around the social sciences, starting with the EU rules(draft) has been published in 2012, and around the problem navigating the Law oriented research actively done through a literature review and legal research methods can. Intensive study of the protected rights and the conflict in time towards the latter subject was also increased. The right to be forgotten when considering that big data, digital information such diverse and complex technical issues (service), which still lacks support the implementation of the rights ithil research is desperately needed to know the future with the realization that the scope and research methods. The purpose of this study is to present the research direction of the limits intended for domestic research, but realize effective right to be forgotten by future foreign comparative analysis.

• Journal of the Korean Applied Science and Technology
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• v.37 no.2
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• pp.214-223
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• 2020

This study evaluated CO₂ removal efficiency, monitoring data analysis / evaluation efficiency and energy reduction efficiency in the liquor factory by L-alanine applied scrubber. The average removal rate of the scrubber was 90.45%, and it was confirmed that the removal efficiency was excellent above 10,000ppm of inlet CO₂ concentration. After the scrubber operation, the CO₂ concentration in the workplace was maintained under 2,000ppm(the carbon dioxide reduction efficiency was about 74%). and the energy saving efficiency was calculated to 7.26% by reducing the power consumption. As a result of applying the developed product, it was possible to improve the working environment of workers by reducing the carbon dioxide concentration in the workplace at low concentration without ventilation, and to reduce the energy consumption. Therefore, it is expected that the scrubber will be useful as a high CO₂ removal process in food and liquor factories.

• Journal of the Korean Applied Science and Technology
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• v.36 no.4
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• pp.1259-1267
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• 2019

Anti-inflammatory and anti-oxidative activities were examined on the extract of Dendranthema indicum (D. indicum) flowers. The flowers were extracted two times for 24 h each with 70% ethanol. Upon the biological activities screening, the ethanol extract exhibited potent free radical scavenging activities and inhibited the production of nitric oxide on LPS-induced RAW264.7 macrophages effectively without causing cell toxicity. Further purification by medium pressure liquid hromatography (MPLC) and identification of the isolates led to identification of cynaroside (1) and apigetrin (2). The chemical structures of the isolated compounds were elucidated based on spectroscopic data including nuclear magnetic resonance (NMR) spectra, as well as comparison of the data to the literature values. Also, the quantitative analysis of the compounds was perfromed by high-performance liquid chromatography (HPLC). The isolates 1 and 2 were determined to inhibite the nitric oxide (NO) production dose-dependently. Based on these results, it was suggested that D. indicum extract could be useful as anti-inflammatory agents in cosmetics applications.

• Journal of the Korean Applied Science and Technology
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• v.37 no.5
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• pp.1356-1365
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• 2020

In this study, the extracts of Hydrangea macrophylla (H. macrophylla) flowers were investigated for the anti-oxidative and anti-inflammatory activities, and their active constituents were identified. The anti-oxidative effects were tested by DPPH and ABTS⁺ assays. To evaluate anti-inflammatory activities, LPS-induced RAW264.7 cells were examined. Among the extracts, the ethyl acetate fraction showed potent radical scavenging activities and inhibition of nitric oxide (NO) production. Chromatographic purification of the extract led to isolation of the compounds; hydrangenol (1), prunin (2) and astragalin (3). The chemical structures of the constituents were elucidated based on spectroscopic data including NMR spectra, as well as comparison of the data in the literature values. Quantitative analysis by high pressure liquid chromatography (HPLC) determined hydrangenol (1) as the major constituent. Isolated compounds 1-3 decreased the NO level without causing cell toxicities. Based on these results, it was suggested that the extract from H. macrophylla flowers could be potentially applicable as an anti-oxidative and/or anti-inflammatory ingredients.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.6
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• pp.237-247
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• 2008

A virtual screening is the process of reducing an unmanageable number of compounds to a limited number of compounds for the target of interest by means of computational techniques such as molecular docking. And it is one of a large-scale scientific application that requires large computing power and data storage capability. Previous applications or softwares for molecular docking such as AutoDock, FlexX, Glide, DOCK, LigandFit, ViSION were developed to be run on a supercomputer, a workstation, or a cluster-computer. However the virtual screening using a supercomputer has a problem that a supercomputer is very expensive and the virtual screening using a workstation or a cluster-computer requires a long execution time. Thus we propose a service-based virtual screening system using Grid computing technology which supports a large data intensive operation. We constructed 3-dimensional chemical molecular database for virtual screening. And we designed a resource broker and a data broker for supporting efficient molecular docking service and proposed various services for virtual screening. We implemented service based virtual screening system with DOCK 5.0 and Globus 3.2 toolkit. Our system can reduce a timeline and cost of drug or new material design.

• Korean Journal of Remote Sensing
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• v.33 no.5_3
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• pp.763-771
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• 2017

The purpose of this paper is to review the background and purpose of the special issue on Theory of Environment Geospatial Information and Its Applications in Korean Journal of Remote Sensing. The significance of the paper was also discussed. Environmental information refers to environment related information (literature, statistics, images, etc.) in a comprehensive manner. Such environmental information as a local change or issue of the environment is defined as environmental spatial information by developing in a spatial form. Remote sensing data is very useful as direct or indirect data including environmental spatial information on wide-area and local environment. Various applications will be possible not only in the environmental field through several improvements. For this purpose, first, refining and scientificization of technology to build environmental spatial information could be performed. Second, the application field can be expanded by developing the concept and contents of existing environmental spatial information. The third method is continuous increase of the application of existing environmental spatial information. In this paper, the direction of development was examined that reflects recent changes of environmental spatial information such as conversion of data formats and integration with ICT (Information and Communications Technologies). In particular, the basic technology for the construction of environmental spatial information was reviewed through various papers. Through the studies related to the above, utilization of domestic environmental spatial information would be diversified. Also, the development of environment policy and efficient management of environmental factors could be possible.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.6
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• pp.679-691
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• 2002

Volume visualization is an important subarea of scientific visualization, and is concerned with techniques that are effectively used in generating meaningful and visual information from abstract and complex volume datasets, defined in three- or higher-dimensional space. It has been increasingly important in various fields including meteorology, medical science, and computational fluid dynamics, and so on. On the other hand, virtual reality is a research field focusing on various techniques that aid gaining experiences in virtual worlds with visual, auditory and tactile senses. In this paper, we have developed a visualization system for CAVE, an immersive 3D virtual environment system, which generates stereoscopic images from huge human volume datasets in real-time using an improved volume visualization technique. In order to complement the 3D texture-mapping based volume rendering methods, that easily slow down as data sizes increase, our system utilizes an image-based rendering technique to guarantee real-time performance. The system has been designed to offer a variety of user interface functionality for effective visualization. In this article, we present detailed description on our real-time stereoscopic visualization system, and show how the Visible Korean Human dataset is effectively visualized on CAVE.