• Journal of Radiation Industry
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• v.11 no.1
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• pp.7-11
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• 2017

RI-Biomics is a fusion technology in radiation fields for evaluating in-vivo dynamics such as absorption, distribution, metabolism and excretion (RI-ADME) of new drugs and materials using radioisotopes and quantitative evaluation of their efficacy. RI-Biomics information is being provided by RIBio-Info developed as information system for distributing its information and three requirements for improving RIBio-Info system have been derived through reviewing recent big data trends in this study. Three requirements are defined as resource, technology and manpower, and some reviews for applying big data in RIBio-In system are suggested. Fist, applicable external big data have to be obtained, second, some infrastructures for realizing applying big data to be expanded, and finally, data scientists able to analyze large scale of information to be trained. Therefore, an original technology driven to analyze for atypical and large scale of data can be created and this stated technology can contribute to obtain a basis to create a new value in RI-Biomics field.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.157-165
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• 2018

Companies conduct R&D for continuous development and enhancement of corporate value, and obtain patents as an intangible asset resulting from this process. This study screened 103 medical device firms whose R&D information, patent information, and management performance information were all published to determine how R&D activities and patents affect corporate operational performance. The number of patents, R&D costs, company type and Inno-Biz of the company were set as independent variables, and the companies' sales, intangible assets, operating profit ratios, net profit margins, corporate ratings and profit-related financial ratios were used as dependent variables. The results confirmed that R&D expenditure had negative (-) effects on most indicators, including sales volume, operating profit ratio, and net profit ratio, while it had positive (+) [ED highlight - these are unnecessary if negative and positive are also written out.] effects only on intangible assets. Additionally, domestic patents were found to have negative (-) effects on sales, cash flow ratings, and dropped capital return, and positive (+) effects on net profit growth. Moreover, the business performance variables affected by the company characteristics were sales volume and cash flow ratings. The medical device industry is dominated by small and medium-sized businesses Although research and development activities and patents have been shown to have a negative impact on corporate management in the short term, they are expected to have a positive long-term impact when reflecting the characteristics of the medical device industry that must undergo clinical trials and authorization procedures after R&D.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.49 no.6
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• pp.487-490
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• 2004

Methods for culturing bean sprouts could be divided into two main groups of overspraying and underwatering according to water supplying. The study was done to measure the effect of water supplying method on growth of mungbean sprouts and temperatures inside their culture boxes. The morphological characters, fresh and dry weights were measured on the 6th day after culturing, but temperatures of the boxes were recorded daily by dataloggers. Lateral roots was not formed in the under-watering method (UM) while partially done in the over-spraying method (OM). OM had longer hypocotyl but UM had longer root compared to the other. Two water supplying methods, however, had nearly similar total length adding hypocotyl and root lengths, diameters of middle and upper parts of hypocotyl. OM showed more total fresh weight than UM mainly resulting from increment of hypocotyl fresh weight. The fresh weight increment in OM was caused by relatively higher temperature of culture box compared to UM.

• Food Science of Animal Resources
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• v.24 no.1
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• pp.8-14
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• 2004

Identification of animals has been made with an ear tag with dummy code, and blood typing has been used for paternity and individual identification in live animals. As various genetic markers are for different cattle breeds vary, the discrete genetic markers are necessary to identify Hanwoo. A total of 740 progeny testing Hanwoo were used to identify Hanwoo specific markers. To examine traceability of individuals by using breed specific genetic codes, four animal were randomly sampled, and traced from live animals to post-slaughter processing stages. The candidate genetic makers used in the study were 16 DNA microsatellites which were identified in romosomes 1 and 14. The number of alleles of those DNA microsatellites ranged from a minimum of 3 to maximum of 12. The heterozygote frequency ranged from 0.022 to 0.824. Effective number of alleles for each DNA microsatellites were 3 to 6. Six selected candidate genetic markers were able ti trace individual cattle with an 100% confidence level.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.53 no.1
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• pp.21-27
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• 2008

Germination of soybean and growth of its sprouts should be affected by storage condition and period of seeds. The experiment was conducted to examine the effects of period stored at cold room and storage conditions on their growth and morphological characters. The seeds, cv. Pungsannamulkong, were stored at $3^{\circ}C$ for 1 or 2 years, and by the three different storage methods of indoor, cold room, or transfer of indoor to cold room. Compared to the seeds stored for 2 years, one-year seeds had higher rate in hypocotyl of longer than 7 cm, root and hypocotyl lengths, and more hypocotyl fresh weight although there was not significant difference in total fresh weight. In the storage method experiment, one-year seeds stored at cold room and by transfer of indoor to cold room showed better growth, more lateral roots and fresh weights, although only two-year seeds stored at cold room did the same response, indicating that growth of soybean was affected by period and method of seed storage.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.3
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• pp.299-304
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• 2010

Depending on the progress of the surveying and information processing technology, the rapidly developing field of spatial information and the 3D real world spatial information for a variety of content on the computer was able to easily access. In this research, to study on the spot or to use aerial photographs to measure trees of the acquired data, calculate the trees height, forest area and capacity, determine the distribution of the density of acquired points in the forest and analyze accurate and objective information was acquired. The United States, Canada and so on through the capacity of trees biomass, forest resource analysis, time series monitoring, wildfire behavior modeling and applied research and has been declared. During worldwide is increasing interest in forest resources. In nationally, extensive research and analysis of the forest consists of the correct management and protection of forest resources to be effective.

• The Journal of Bigdata
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• v.5 no.1
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• pp.139-145
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• 2020

In the era of the 4th Industrial Revolution, the use of information based on AI APIs has a great influence on industry and life. In particular, the use of artificial intelligence data in the medical field will have many changes and effects on society. This paper is to study the necessary components to implement the "Cognitive Health Advisor model (CHA model)" and to implement the "CHA model using chatbot" based on this. It uses the open Cognitive chatbot to analyze and analyze the health status of users changing in their daily lives. The user's health information analyzed by the biometric sensor and chatbot consultation delivers the information to the user through the chatbot. And it implements a cognitive health advisor model that provides educational information for users' health promotion. Through this implementation, it intends to confirm the possibility of future use and to suggest research directions.

• Information Systems Review
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• v.24 no.3
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• pp.23-41
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• 2022

This case research investigates on how hearing aids, which is one of disability aids, is becoming a smart device, focusing on the case of Starkey Hearing Technologies(Starkey Inc.). Starkey, founded in 1967, has been a leader in innovating forms and functions of hearing aids, and has recently introduced the world's first hearing aid implemented with AI and biological sensors. In this study, history of disability aids, hearing aids(especially Starkey Inc.'s), smart wearable devices and smart earphones are compared. It has been found that recently, there has been a breakdown of boundaries between hearing aids and smart wearable devices in terms of their functions, since entertainment and life assistant functions are added to hearing aids. Based on this trend, the development model of disability aids and smart wearable devices are derived, and according social changes are discussed.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.604-626
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• 2012

As a society of knowledge and information has been developed rapidly, because of changing from web environment to ubiquitous environment, a lot of countries across the world as well as S. Korea for e-Government have come to use the internet electronic voting for a variety of elections. So this research focused on the strategy consulting of the internet electronic voting of S. Korea with spatial information system analysed by the application of 'scenario planning' as a foresight method. And as a consequence, the strategy formulation of the electronic voting for the future S. Korea is to use the biometrics technology system as vein recognition and face recognition, using a part of the human body like a password, with spatial information system.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.6
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• pp.641-650
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• 2011

Airborne LIDAR system, utilized in various forest studies, provides efficiently spatial information about vertical structures of forest areas. The tree height is one of the most essential measurements to derive forest information such as biomass, which can be estimated from the forest terrain model. As the terrain model is generated by the interpolation of ground points extracted from LIDAR data, filtering methods with high reliability to classify reliably the ground points are required. In this paper, we applied three representative filtering methods to forest LIDAR data with diverse characteristics, measured the errors and performance of these methods, and analyzed the causes of the errors. Based on their complementary characteristics derived from the analysis results, we have attempted to combine the results and checked the performance improvement. In most test areas, the convergence method showed the satisfactory results, where the filtering performance were improved more than 10% in maximum. Also, we have generated DTM using the classified ground points and compared with the verification data. The DTM retains about 17cm RMSE, which can be sufficiently utilized for the derivation of forest information.