• Journal of Energy Engineering
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• v.23 no.3
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• pp.42-50
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• 2014

Korean government has been investing more than 400 billion KRW in R&D on renewable energy. This paper aims to measure the R&D efficiency of national R&D program in the field of renewable energy, and to identify the sources of inefficiency. 4,213 R&D projects supported by Korean government during 2009-2011 are analyzed by using Data Envelopment Analysis and statistical tests. Results implies as follows. First, hydrogen, bio, fuel cell, photovoltaic have higher R&D efficiency than other renewable energies. Second, universities conducted national R&D program more efficiently than firms did, and small and medium sized enterprises are more efficient than large sized enterprises. Third, R&D inefficiency is mainly caused by the lacks of patent performance rather than excessive R&D investment or academic paper performance.

• Journal of Chest Surgery
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• v.18 no.3
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• pp.371-382
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• 1985

Over the past 4 decades after World War II a great deal of data and clinical experiences have been accumulated relating to the diagnosis and surgical treatment of congenital and acquired cardiovascular diseases in Korea. Clinical data on cardiovascular surgical cases performed in all 22 hospitals for open heart surgery in Korea was collected from it`s starting up to December 1984. The first recorded open heart surgery for a young adult atrial septal defect was performed by Young Kyoon Lee, M.D. on August 7, 1959, Seoul National University Hospital, Korea. And, some scattered reports on cardiovascular surgical cases in it`s early period have changed recently the number of hospitals for open heart surgery and clinical cases enormously in total amount of 13, 100 cardiovascular operations performed on 12, 990 cases up to December 1984. Of the total 13, 100 cardiovascular operations, congenital cardiovascular anomaly occupied 70%. Of the congenital cases, 6, 580 operations for acyanotic group [operative mortality 4.5%], and 2, 489 operations for cyanotic group [operative mortality 20%]. The incidence of congenital cardiovascular anomaly in order of frequency was ventricular septal defect [29%], patent ductus arteriosus [26%], Tetralogy of Fallot [22%], atrial septal defect [8, 6%], pulmonary valve stenosis [3.0%], and endocardial cushion defect [1.1%]. Of the 3, 412 valvular heart disease cases, which occupied 85% of total 4, 031 acquired cardiovascular disease, individual incidence was in mitral 2, 565 [63.5%], double valve 451 [11.1%], and simple aortic valve 351 [8.7%]. Total number of valve replaced, mechanical and tissue, was 2, 795, and 1, 884 for mitral, 808 for aortic, and 103 for tricuspid in position. Operative mortality for prosthetic valve replacement in total was 9.8%. Remained acquired cardiovascular cases chronic constrictive pericarditis [7.9%], cardiac tumor [1.9%], coronary artery bypass [1.8%], cardiac trauma [1.2%] and less than 1% of thoracic aortic aneurysm. Overall operative mortality for open and non-open cardiovascular surgical operation was 7.7% [congenital acyanotic group 3.2%, congenital cyanotic group 19.4%, and acquired group 7.8%]. In conclusion, present status of cardiovascular surgery in Korea is stabilized with accumulation of clinical cases and experiences, and the future in the field of cardiovascular surgery is promising, especially in the infant cardiac surgery and aortocoronary bypass surgery, with abrupt increase of specialized cardiac centers, trained specialists, and expanding social health insurance.

• Korean Journal of Oriental Medicine
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• v.13 no.2 s.20
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• pp.113-120
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• 2007

Objectives : This study was conducted to collect the basic data for the developments of moxibustion related technique and the efficient promotion of moxibustion research. Methods : We have analysed the moxibustion associated patents application informations searching by WIPS company. We searched and analyzed the total of 1.770 data base from the year 1976 to July, 2006. Results : Korea is mostly superior compared to the others in number of domestic patents. Korean applicant was as frequent as 1066 subjects(80%) of nationality. The most common field of patents was 'moxibustion body' 587 subjects(26%), 'heating material' 495 subjects(23%), 'heating control' 96 subjects(4%). 'manufacture method' 78 subjects(3%), 'etc'(3%). The most common applicant of moxibustion patents was Yu Tae Woo(131subjects). Kim Geun Sik(50subjects), Most moxibustion material and device was wormwood, wormwood moxibustion device. Conclusion : Moxibustion technological development is being recognized as a core capability of competitive advantage for sustainable growth of international alternative medicine. We are in need of inspecting the patents. We will have to work up for strengthen the competitiveness of Korea moxibustion patents.

• The Journal of Korean Medicine
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• v.25 no.3
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• pp.12-19
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• 2004

Objectives : In the WIPO conference about the protection of intellectual property for traditional knowledge (TK) and genetic resources (GR), there was a demand concerning the necessity of recognizing the invention of TK and GR and the foundation of a related database. Methods : In the standard of the foundation of a database, the content and resource identification standards, the technological standards and the security and transmission standards were discussed. In a decision on intellectual property, it means the protection and recognition as a technology precedent of the materials of the database. Results : Massive material on traditional medical care technology in Korea has existed in many areas. However, it is hard to make a database because it is difficult to organize and find the data. In addition, a database demanded by WIPO is not only the material of images or texts of simple technology information, but also the use of patent decisions about traditional knowledge technology and the public sharing of information in related areas. A traditional medical care database would consist of the core of a subject and the related areas. The core part is the medical herb resource and Oriental clinical technology. Conclusions : These are necessary to detail the kind of medicines and prescriptions, their use, and their processing. In the related areas, it needs to detail PIAS and clinical data in regarding the industrialization. These DB have to protect the TK and the GR of Korea.

• Journal of Information Management
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• v.43 no.4
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• pp.69-96
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• 2012

Based on analysis of trend and development of industrial and technical information such as patents and scientific data, using industrial and technical information in the process of planning can be a important factor to reduce budget and opportunity cost. This study aims to investigate needs to collect and analyze industrial and technical information in planning of R&D project. To do it, this study examines definitions, needs and types of industrial and technical information for planning of R&D project. And then this study investigates the importance of use of industrial and technical information in the process of planning of R&D and performs case study in domestic and foreign countries. Lastly, this study investigates a method to analyze industrial and technical information for R&D planning and proposes the role of a library for R&D planning.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.7
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• pp.891-900
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• 2019

In this paper, we investigate the relationship between IPR creation and export activity. And we try to examine the effects of IPR use as innovation on export performance. The dataset used in the empirical analysis are the annual "Survey of Business Activity(2006~2014)" panel data which include total of 6,144 samples of firms. Data set includes the sample characteristic such as employee, industry, export performance, possession/use/development of IPR. According to analysis results, this paper confirms that R&D and export activities of firms make positive effects on IPR creation. In addition, this paper finds that IPR use of firms make positive effects on firm's export performance. Exporting firms achieve higher export performance by developing new products and processes to enter and compete in overseas markets. In addition, exporting firms can achieve higher performance by using intellectual property rights to appropriate innovation outcomes in foreign markets and to exclude the possibility of patent disputes in advance.

• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.418-431
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• 2022

Purpose: We propose a new scheme for predicting promise technology and it improves the conventional scheme that misses important lists of patent because of insufficient search formula, and cannot reflect new trend of technology due to the unreleased period of patents. Method: In this paper, we propose a new search formula exploiting TF and TF-IDF with R programming as well as related keywords, and LDA topic modeling scheme is used for analyzing recently published papers in Satellite·Terrestrial Information Convergence Disaster Response. Result: By comparing both schemes with commercial DB, the proposed scheme can find more important patents, and can reflect new trend of technology, compared to the conventional scheme. Conclusion: The proposed scheme can be used to predict promise technologies in the field of Satellite·Terrestrial Information Convergence Disaster Response.

• Journal of Medicine and Life Science
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• v.20 no.3
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• pp.115-125
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• 2023

Arteriovenous fistula flow dysfunction is the leading cause of vascular access thrombosis and loss in patients undergoing hemodialysis. However, data regarding the influence of access flow rate measurements on the long-term outcomes of access are limited. This study aims to identify accesses at a high risk of thrombosis and loss among patients undergoing hemodialysis by measuring the access flow rate and exploring an optimal threshold value for predicting future access thrombosis. We enrolled 220 patients with arteriovenous fistula undergoing hemodialysis. The primary outcome was the occurrence of access thrombosis. Access flow rates were measured monthly using the ultrasound dilution method and were averaged using all measurements from patients with patent access. In patients experienced access thrombosis, those immediately before the thrombosis were selected. Using these data, we calculated the access flow rate threshold for thrombosis occurrence by analyzing the receiver operating characteristic curve, and the patients were divided into two groups according to whether access flow rates were higher or lower than 400 mL/min. During a median follow-up period of 3.1 years, 4,510 access flows were measured (median measurements per patient, 33 times; interquartile range, 11-54). A total of 65 access thromboses and 19 abandonments were observed. Access thrombosis and loss were higher in the lowflow group than in the high-flow group. This study revealed that low access flow rates are strongly associated with access thrombosis occurrence and subsequent loss of arteriovenous fistulas in patients undergoing hemodialysis.

• Electronics and Telecommunications Trends
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• v.39 no.4
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• pp.42-53
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• 2024

Mathematical modeling is the process of representing physical phenomena using equations, and it often describes various scientific phenomena through differential equations. Numerical analysis, which is capable of approximating solutions to partial differential equations representing physical phenomena, is widely utilized. However, in high-dimensional or nonlinear systems, computational costs can substantially increase, leading to potential numerical instability or convergence issues. Recently, Physics-Informed Neural Networks (PINNs) have emerged as an alternative approach. A PINN leverages physical laws even with limited data to provide highly reliable predictive performance and can address the convergence issues and high computational costs associated with numerical analysis. This paper analyzes the weak signals, research trends, patent trends, and case studies of PINNs. On the basis of this analysis, it proposes directions for the development of PINN techniques in the agricultural field. In particular, the application of PINNs in agriculture is expected to be more effective than in other industries because of their ability to reflect real-time changes in biological processes. While the technology readiness level of PINNs remains low, the potential for model training with minimal data and real-time prediction capabilities suggests that PINNs could replace traditional numerical analysis models. It is anticipated that the research and industrial applications of PINN will develop at an increasing pace while focusing on addressing the complexity of mathematical models in agriculture, mathematical modeling and the application of various biological processes; securing key patents related to PINNs; and standardizing PINN technology in the field of agriculture.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.37-44
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• 2020

AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.