• Journal of the Korean Society of Food Culture
• /
• v.2 no.1
• /
• pp.55-69
• /
• 1987

A literatural survey on Hankwa, traditional Korean cookies, was made in order to identify the state of scientific understanding on these products and the future study needs for the modernization of the products. The type of Hankwa varies with the raw materials used and the processing methods and is classified into 7 groups, i.e. Yumilkwa, Ganjung-Sanja, Dasik, Jeonkwa, Suksilkwa, Kwapyun and Yutgangjung. The recipe and processing characteristics of 7 types of Hankwa were discussed and the scientific findings on these products were reviewed.

• Korean journal of applied entomology
• /
• v.62 no.1
• /
• pp.1-4
• /
• 2023

The genus Rhogadopsis Brethes, 1913 (Hymenoptera: Braconidae: Opiinae), which mostly parasitizes mining flies (Diptera: Agromyzidae), has been considered to subgenus in the genus Opius Wesmael, 1835. However, according to having the derived wing venation and forming a monophyletic clade, the genus Rhogadopsis is elevated to generic rank. As results of faunal survey in Yeoseo-do, Jeonnam, South Korea, the male specimen of Rhogadosis obliqua were collected by sweeping. Diagnosis, description, distribution and diagnostic illustration of Rhogadopsis obliqua are provided.

• Korean journal of applied entomology
• /
• v.62 no.1
• /
• pp.9-13
• /
• 2023

The genus Phaedrotoma Foerster, 1862 (Hymenoptera: Braconidae: Opiinae) parasitize in larvae of flies, Tephritidae, Agromyzidae, Ephydridae, Anthomyiidae, Scathophagidae, and Drosophilidae, of which 12 species are recorded in South Korea. As results of our survey, Phaedrotoma rugulifera Li et al. (2013) and Phaedrotoma vermiculifera Li et al. (2013) are reported for the first time in South Korea. Those specimens were collected by sweeping. Descriptions, and diagnostic illustrations of P. rugulifera and P. vermiculifera are provided.

• Journal of The Korean Association For Science Education
• /
• v.18 no.4
• /
• pp.635-641
• /
• 1998

The purpose of this study was to suggest a new direction of learning method in botany based on the analysis of a classification system and concepts in Science(Biology) textbooks of elementary and secondary school. Elementary and secondary school textbooks of Biology have been analyzed for plant classification system and concepts. Findings are summarized as belows. 1. In textbook of elementary school, the organization of life is grouped into Plantae and Animalia. Learning contents of plant are divided by the size and habitat. However, this system of classification might cause false concepts. Therefore, learning contents should be organized as whether they are flowering plants or not. 2. In a textbook of middle school, the organization of life is grouped into Plantae and Animalia. For a textbook of high school, it is grouped into three kingdoms; Plantae, Animalia and Prorista. With the idea of new age of Life Science, we should change the standards to 5 kingdoms; Plantae, Animalia, Proristae, Fungi and Monera. Moreover, it would be desirable if the concept of plant classification could be explained with a general outline, not by an individual interpretation focusing on characters of species only. In addition to the above indications, a learning course should provide present a standard classification according to a cognitive developemental level. It also has to teach students how to classify plant, in secondary school. Learning materials focusing on algae of the present system, but should be organized based on Seed plants.

• The Journal of the Korea Contents Association
• /
• v.19 no.3
• /
• pp.261-274
• /
• 2019

This paper aims to develop an appropriate methodology for establishing an investment strategy for 'demonstration of artificial rainfall technology using UAV' and that include establishment of a technology classification, set of indicators for technology evaluation, suggestion of final key technology as a whole study area. It is designed to complement the latest research trend analysis results and expert committee opinions using quantitative analysis. The key indicators for technology evaluation consisted of three major items (activity, technology, marketability) and 10 detailed indicators. The AHP questionnaire was conducted to analyze the importance of indicators. As a result, it was analyzed that the attribute of the technology itself is most important, and the order of closeness to the implementation of the core function (centrality), feasibility (feasibility). Among the 16 technology groups, top investment priority groups were analyzed as ground seeding, artificial rainfall verification, spreading and diffusion of seeding material, artificial rainfall numerical modeling, and UAV sensor technology.

• Journal of KIBIM
• /
• v.12 no.2
• /
• pp.12-25
• /
• 2022

To increase the usability of Building Information Modeling (BIM) in construction projects, it is critical to ensure the interoperability of data between heterogeneous BIM software. The Industry Foundation Classes (IFC), an international ISO format, has been established for this purpose, but due to its structural complexity, geometric information and properties are not always transmitted correctly. Recently, deep learning approaches have been used to learn the shapes of the BIM elements and thereby verify the mapping between BIM elements and IFC entities. These models performed well for elements with distinct shapes but were limited when their shapes were highly similar. This study proposed a method to improve the performance of the element type classification by using an Ensemble model that leverages not only shapes characteristics but also the relational information between individual BIM elements. The accuracy of the Ensemble model, which merges MVCNN and MLP, was improved 0.03 compared to the existing deep learning model that only learned shape information.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.6
• /
• pp.460-471
• /
• 2019

The aim of this study was to examine the scale and market share of Chinese's research facility & equipment in the domestic research equipment market of basic and analytical science field for analyzing the difference of the number and amount of construction by year of acquisition, national research facility equipment standard classification code, and type of institution based on the information of the research equipment invested by the Korean government for the past 14 years. In addition, we analyzed the correlation among the year of acquisition, equipment standard classification code, and type of institution variables. As of January 1 2019, from 2005 to 2018, 50 Chinese's research facilities & equipments (main equipment with a construction cost of 30 million won or more) built in the basic and analytical science fields were selected for this study and their number of construction, amount of construction, year of acquisition, type of institution, and standard classification code were analyzed. Differences of the number and amount of construction with-in and by year of acquisition, standard classification code, and type of institution were tested using a single sample Chi-square test, Mann-Whitney U test, and Kruskal-wallis test. The correlation among the three variables was analyzed by using the Chi-square test of cross-tabulation analysis. And there was a statistically significant correlation among the year of acquisition, standard classification code, and type of institution (p<.05). Compared to the 2000s, in the 2010s, high-priced Optical Electronics/Video Equipment was installed at private universities, private enterprises, and government-affiliated research institute. Therefore, the domestic construction status of Chinese's research facility & equipment in the basic science and analytical science field is less than that of the domestic ones, but the number and the amount of construction are increasing statistically. So it is necessary for the government to be able to recognize the possibility that the Chinese's research facility and equipment can encroach on the domestic research industry market and to prepare related provision.

• Korean Journal of Plant Taxonomy
• /
• v.51 no.3
• /
• pp.205-249
• /
• 2021

This study was carried out to survey the flora of Hongdo Island in Sinan-gun, Jeollanam-do, South Korea. Specimens collected from previous Hongdo flora studies were reexamined using a relevant biodiversity database, and field surveys were carried out 22 times from April of 2003 to October of 2020. Based on the specimens collected during both previous studies and this study, the identified vascular plants of Hongdo consisted of 472 taxa comprising 102 families, 296 genera, 425 species, 6 subspecies, and 41 varieties. Among them, 111 taxa are newly recorded in this study, and 6 taxa are described in detail in terms of their morphological characteristics and habitat. Also, 29 taxa were reviewed or re-identified with corresponding taxonomic annotations. In Korea, Hongdo represents the northern distributional limit of the 4 taxa of Goodyera biflora, Damnacanthus major, Calanthe aristulifera, and Hemerocallis hongdoensis. Moreover, Hosta yingeri and Saussurea polylepis are endemic to Hongdo and nearby islands in Korea. Distribution maps of these species were prepared. Protected species designated by the Ministry of Environment were 7 taxa consisting of 2 taxa of level I, specifically Sedirea japonica and Neofinetia falcata, and 5 taxa of level II, which were Cymbidium macrorhizon, Woodwardia japonica, Dendrobium moniliforme, Calanthe aristulifera, and Bulbophyllum inconspicuum. Red list plants as designated by the National Institute of Biological Resources numbered 11 taxa. Naturalized plants numbered 40 taxa.

• Journal of Korea Technology Innovation Society
• /
• v.11 no.1
• /
• pp.91-117
• /
• 2008

The relationships between science, technology, and industry are very complicated and vary according to time. Thus, it would be almost impossible to combine the three categories in a single model. However, the linking of science, technology, and industry, which are divided according to their respective classification standards, is a starting point from which to understand how science and technology, technology and industry, and further science, technology, and industry are related to each other. Studies have been carried out to analyze the relationship between science and technology and between technology and industry, whereas no study has been undertaken to get an overall view of science, technology, and industry. Since an appropriate methodology or an analytical model has not been suggested, this paper proposes a model for generally analyzing science, technology, and industry. More specifically, this paper examines the methodology for linking science, technology, and industry. This paper uses citation analysis to analyze knowledge flow such as absorption and utilization of given knowledge, looks at the provision of knowledge to create new knowledge, and examines the use of network analysis to analyze the complicated phenomenon of knowledge flow. This paper proposes an empirical study of trend analysis of technological innovation by looking into a linkage structure of knowledge flow among science, technology, and industry based on the classification linkage and analysis methodology using scientific paper and patents.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.469-472
• /
• 2022

With the recent development of intelligent transportation systems, various technologies applying deep learning technology are being used. To crackdown on illegal vehicles and criminal vehicles driving on the road, a vehicle type classification system capable of accurately determining the type of vehicle is required. This study proposes a vehicle type classification system optimized for mobile traffic control systems using YOLO(You Only Look Once). The system uses a one-stage object detection algorithm YOLOv5 to detect vehicles into six classes: passenger cars, subcompact, compact, and midsize vans, full-size vans, trucks, motorcycles, special vehicles, and construction machinery. About 5,000 pieces of domestic vehicle image data built by the Korea Institute of Science and Technology for the development of artificial intelligence technology were used as learning data. It proposes a lane designation control system that applies a vehicle type classification algorithm capable of recognizing both front and side angles with one camera.