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신계종,임홍빈,김연준 한국교통대학교 2015 한국교통대학교 논문집 Vol.50 No.-
In the past, topographic information, DEMs have been generated from analysis of aerial photographs or satellite imagery. In the last few years the technology of airborne laser scanning (ALS) has emerged, which allows to produce high-quality DEMs with accuracies less than ±25 cm, depending on the land cover, slope, flight parameters and environmental conditions. Airborne laser scanners also provide data for describing the landscape roughness of the surface. Therefore, precise topographic information can be used to understand and calculate the effects of landscape roughness on evaporation, soil moisture, runoff, and soil erosion at field and landscape scale. Before the data can be used for applications in hydrology, a classification into ground points and off-terrain points has to be performed. This study was performed accuracy evaluation of DEMs generated by the 1:5000 digital topographic map with Lidar data. Also it was practiced to evaluate a utility of airborne laser scanning data on hydrological field using topographical analysis, the extraction of watershed and stream network.
Semi-automatic extraction of technological causality from patents
Kim, Hongbin,Joung, Junegak,Kim, Kwangsoo Elsevier 2018 COMPUTERS & INDUSTRIAL ENGINEERING Vol.115 No.-
<P><B>Abstract</B></P> <P>The goal of this study is to suggest a method to extract technological causalities from patents, which are formal documents that include a large amount and large variety of information about technology. The core of patents is composed of both inventive principles to solve problems, and purposes that the invention achieves by solving them. The principles and purposes can be understood as a concept of technological causality which is reusable knowledge as technological analogy. Because reading and understanding patent documents that generally consist of dozens of pages and have difficult and profound statement of technologies is hard even for technology experts, a method to extract technological causalities is needed. As a solution, this paper proposed a method to extract technological data from patents, to identify technological causes and effect relation from the extracted data and to calculate the representativeness of technological causes and effect. Based on this study, technology experts can be given a list of ranked alternatives for technological causes and effect. This study helps to analyze patent, and it finally contributes to new product development and technology opportunity discovery. To achieve the objectives, the proposed method included the characteristics of patents that are structured documents consisting of various particular fields that have each different contents and importance. And natural language processing technology is adopted to automatically extract meaningful data and to perform linguistic processing. The implementation and case study of the proposed method demonstrated how a prototype system can be developed and utilized.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We proposed a method to extract technological data from patents. </LI> <LI> Causalities are condensed extraction of patent as a most abstractive expression. </LI> <LI> Extracted technological causalities can be reusable and applied to other domains. </LI> <LI> Causalities can be built a network consisting of nodes connected by causalities. </LI> <LI> Network users can find various principles or solutions to solve problems. </LI> </UL> </P>
Hongbin Kim,Gyoungho Lee 한국물리학회 2018 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.73 No.4
The purpose of this paper is to examine what are the most important ideas of special relativity (SR) education from Einstein’s perspective, to reflect on the previous studies of special relativity education up to the present through Einstein’s ideas, and to give prospects for its future direction. We analyzed Einstein’s book, The Evolution of Physics, focusing on three questions: Why should we teach SR? What kinds of the content knowledge of SR should we teach? How should we teach SR? Based on this analysis, we formulated three criteria for SR education: (1) intrinsic value, (2) integral knowledge, and (3) hermeneutic/communicative approach. In addition, research papers on SR education published in South Korea were analyzed based on these criteria. As a result, we have found that many studies are very different from Einstein’s perspective on SR education. And we discussed that, despite the researchers’ intentions, their studies are likely to lead other research on SR and educational practices toward the opposite of Einstein’s emphasis (i.e., instrumental purpose, fragmentary content knowledge, and partial/functional approach). Finally, we suggest Einsteinian Physics Education as a new way to improve not only SR education but also physics education in general from Einstein’s perspective.
Hongbin KIM,Su Yeon LIM,Chang Yeop KEUM,Kwang Suk LIM 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10
Metallothionein (MT) protein, well known as an antioxidant protein, consists of about 20 cysteines of all amino acids. MT binds to heavy metal ions and serves to protect against stress conditions such as heat, starvation or inflammation. Recently, MT has been shown to protect cells from oxidative stress, which is the cause of various diseases such as diabetes, cancer, and aging. In this study, we induced the binding of MT, which has the property of binding to the divalent cation metal, with the divalent cation Zn of the Zn/DNA nano cluster of the gene delivery system previously studied. We developed gene delivery systems as an antioxidant treatment systems to induce a synergistic effect with the antioxidant protein MT and heat shock protein 27 expression vector using MT/Zn/DNA complex. In order to increase the transduction efficiency of the complex, Tat-MT, a MT fused with Tat, was used. This Tat-MT/Zn/DNA complex enhanced intracellular uptake efficiency of DNA into the cell by Tat-MT and improved protective effect against damages by reactive oxygen species (ROS). This system may be applied to treat diseases caused by oxidative stress.