Rhee, Hye Kyung;Cho, Hae Ryong;Shin, Hak Ki;Lim, Jin Hee;Kim, Mi Seon
Korean Journal of Breeding Science
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v.42
no.6
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pp.659-663
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2010
An Asiatic lily cultivar 'Yesol' was developed in 2005 at National Institute of Horticultural and Herbal Science (NIHHS), Rural Development Administration (RDA), Korea. The cross was made in 1992 between Asiatic lily 'White Bird', a white colored cultivar, and 'Connecticut King', yellow colored cultivar. Preliminarily selection was done as 'A94-11' in 1994. Multiplication and bulb formation, and characteristic tests were conducted from 1996 to 2004. The evaluation of this line was performed and named as 'Wongyo C1-27' in 2005 that was registered as 'Yesol' to the registration office of Korea Seed & Variety Service. 'Yesol' flowers at the end of June and grows average 32.4 cm. It flowers upward-facing, yellow (RHS, Y7D) with the size of flower 14.7 cm. The average petal length and width are 8.2 cm and 2.6 cm, respectively. Leaves are 4.8 cm long and 2 cm wide. The weight and size of bulb are 18.9 g and 11.8 cm, respectively. Year-round flowering can be obtained by storing the bulb under -1.5$^{\circ}C$ conditions.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.11
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pp.310-318
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2018
Recently, the importance of big data analysis is increasing as a large amount of data is generated by various devices connected to the Internet with the advent of Internet of Things (IoT). Especially, it is necessary to analyze various large-scale IoT streaming sensor data generated in real time and provide various services through new meaningful prediction. This paper proposes a real-time indoor PM10 concentration prediction LSTM model based on streaming data generated from IoT sensor using AWS. We also construct a real-time indoor PM10 concentration prediction service based on the proposed model. Data used in the paper is streaming data collected from the PM10 IoT sensor for 24 hours. This time series data is converted into sequence data consisting of 30 consecutive values from time series data for use as input data of LSTM. The LSTM model is learned through a sliding window process of moving to the immediately adjacent dataset. In order to improve the performance of the model, incremental learning method is applied to the streaming data collected every 24 hours. The linear regression and recurrent neural networks (RNN) models are compared to evaluate the performance of LSTM model. Experimental results show that the proposed LSTM prediction model has 700% improvement over linear regression and 140% improvement over RNN model for its performance level.
Due to the constant changes of companies' global networks, the expansion of global e-commerce as well as the market-oriented global supply chain management, global enterprises are strategically selecting and entering into viable countries able to become global footholds. Therefore, this study aims to scrutinize the trend of changes in the global networks of Korean companies by analyzing the current overseas countries over the past decade. From the analysis, it has been found that there is a significant difference in the priorities of targeting countries among shipping, manufacturing and logistics companies. Logistics companies preferred to enter Germany first while they attached to a lower priority to Singapore. Manufacturing companies had a lower priority to advance to India, while they preferred to advance to Mexico; however, shipping companies were analyzed to prefer to enter the US. In addition, all of these companies identified the importance of securing volume and network by entering overseas markets to achieve economies of scale and scope and to maintain global competitiveness. Joint overseas expansion of manufacturers with shipping and logistics companies can be recommended to facilitate the entry and thus, enhance global competitiveness and service capabilities and also secure new growth engines.
The boundaries of administrative districts are the basic system for the whole country and are closely related to the daily life of the residents. The administrative boundary of Korea is registered and managed in the cadastral study based on the intellectual study of cadastral system. There is a non-conforming land where the registration details of some cadastral studies do not match the actual situation of the land, and the cadastral rehabilitation project is implemented as a national project to create a new digital cadastral study. However, due to the cadastral rehabilitation project, there is an unreasonable parcel that the past administrative boundaries and newly registered boundaries are different from each other due to the registration of the past administrative boundaries for the newly registered cadastral studies. The purpose of this study is to identify the unreasonable administrative boundaries arising from the cadastral rehabilitation project and to identify problems in order to effectively manage the number of branches in terms of administrative and administrative efficiency in terms of registration and inhabitants management. It is expected that the legal system will be improved to legitimately control the boundary of the administrative district and to manage the boundaries of the administrative district accordingly and to provide the service and to solve the inconvenience of the nation.
In order to come up with satisfying product and improvement, firms use traditional marketing research methods to obtain consumers' opinions and further try to reflect them. Recently, gathering data from consumer communication platforms like internet and SNS has become popular methods. Meanwhile, with the development of information technology, mobile companies are launching new digital products for children to protect them from harmful content and provide them with necessary functions and information. Among these digital products, Kids Phone, which is a wearable device with safe functions that enable parents to learn childern's location. Kids phone is relatively cheaper and simpler than smartphone but it is noted that there are several problems such as some useless functions and frequent breakdowns. This study analyzes the reviews of Kids phones from domestic mobile companies, identifies the characteristics, strengths and weaknesses of the products, proposes improvement methods strategies for devices and services through SNS consumer analysis. In order to do that customer review data from online shopping malls was gathered and was further analyzed through text mining methods such as TF/IDF, Sentiment Analysis, and network analysis. Customer review data was gathered through crawling Online shopping Mall and Naver Blog/$Caf\acute{e}$. Data analysis and visualization was done using 'R', 'Textom', and 'Python'. Such analysis allowed us to figure out main issues and recent trends regarding kids phones and to suggest possible service improvement strategies based on sentiment analysis.
The local history research started from the 1960's postmodernism neted in the local history as the subject of diversity instead of National history. The local is being magnified as a new research theme among history scholar. In these circumstances, the local history research shows sign of activity and the movement that used in various ways at education has become more active. Compared to the contents business of local history, development of education contents what serviced for student is insufficient. Therefore, this research suggests development plan of local history education contents using archives which efficient tool of history education. Students can grow the ability of historical inquiry, thinking, insight through archives-assisted learning. Also, self-learning is possible instead of a lecture by teacher. This research shows a development of archival contents for local history education though literature research, abroad case analysis, focus group interview with history teachers. Concepts of the local history, local history education, education contents are examined at literature research. Local history education of the State Archives of the United States of America, the United Kingdom, Australia web site is analyzed. These state archives have been providing the web based service of archival contents for local history education for a long time. With these theoretical background, carry out a focus group interview with middle school history teachers. It draw conclusion that 14 category and 35 subcategory and these are reflected in the development of archival contents for local history education.
Smoking has become one of the public health harzard affecting the world. In the UK, smoking is responsible for around one in five deaths. The illnesses caused by smoking extend beyond the well-reported links with cancer, heart disease and respiratory illnesses. Hence the research to determine the awareness of the predisposing factor to smoking among adults in sokoto metropolis. A cross-sectional form of descriptive survey research design was used for this study. This is because descriptive studies are used when the characteristics of a population are either unknown or partially known (Hennekens & Buring, 2007), and it was used by Ganley and Rosario (2013) in a related research this justified the use of similar design in a study of similar nature.Two hundred and seventy returned questionnaire was collected, analyzed using descriptive statistic of frequency count, normative percentage and grand mean; as well as inferential statistics of chi-square (${\chi}^2$). The level of significant was fixed at 0.05. Appropriate degrees of freedom were worked out. There was statistical significant influence or relationship with marital status on the predisposing factors of smoking chi-square of 19716.516 greater than the critical value 43.77297at df 30 p<0.05. There were statistical significance chi-square =27468.348 which is greater than the critical value 43.77297 at df= 30. These show that there is a relationship on gender awareness of predisposing factors to smoking rejecting the null hypotheses. The respondents across different lever/year higher institution shows that the awareness of predisposing factors of smoking there were a statistical significance difference chi-square =7168.429 (df=88) greater than critical value 102.342 rejecting the null hypotheses. There is consistent evidence that links exposure to depictions of smoking in movies and initiation of smoking in young people. Over the years television shows and films have effectively built up associations between smoking and glamour, sex and risk-taking. Social learning theory describes how we learn by example from others. We are strongly influenced by our parents, and other people we look up to, such as peers, actors and pop stars. This can lead us to emulate their behaviour and try smoking.
The purpose of this study is to summarise the educational meanings of Official Foreign Language Schools(hereafter, OFLS) in Korea, 1895-1906. Especially, I try to find out the foreign language policy of the Joseon Dynasty and the comparative superiority between six foreign language schools - Japanese School, English School, French School, Russian School, Chinese School, and German School - through the traits of teachers and the change of students numbers at the Regulation Period. As a part of Kabo Reforms, the government had abolished the of Civil Service Examination System and status system, and foreign languages worked as a cultural capital to acquire modern civilization and to escalate one's social status. The results were as follows: Firstly, the OFLS have to be regarded as one of the highest educational institute during the Regulation Period. The eligibility of the OFLS was over 15 years old, but most of the incoming students were over 20 years old. Secondly, many of the OFLS's teachers were specialists of military, diplomat and mechanics. Especially, Martel, the teacher of French school played an important role for the neutral diplomacy policy of the Great Korean(Dae-Han) Empire during the Regulation Period. Thirdly, the recruit of new members of the OFLS was affected by the political and social circumstances at that time. Fourthly, the statistics of incoming students during the Regulation Period was concentrated on Chinese school, French school, and English school in due order. Thus, it differed from the commonly accepted ideas of students' statistics which was concentrated on English School and Japanese School. Fifthly, the OFLS were not only for the training of official interpreters(譯官通事), but also the cultivation of civil servants who could become statesman.
Journal of The Korean Association For Science Education
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v.42
no.2
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pp.289-309
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2022
In recent years, astronomy has been snowballing: including Higgs particle discovery, black hole imaging, extraterrestrial exploration, and deep space observation. Students are also largely interested in astronomy. The purpose of this study is to discover what needs to be improved in the current astronomy curriculum in light of recent scientists' researches and discoveries. We collected keywords from all papers published from 2011 to 2020 in four selected journals-ApJ, ApJL, A&A, and MNRAS- by R package to examine research trends. The curriculum contents were extracted by synthesizing the in-service teachers' coding results in the 2015 revised curriculum document of six subjects (Science, Integrated Science, Earth Science I, Earth Science II, Physics II, Convergence Science). The research results are as follows: first, keywords that appear steadily in astronomy are 'galaxies: formation, galaxy: active, star: formation, accretion, method: numerical.' Second, astronomy curriculum includes all areas except the 'High Energy Astrophysical Phenomena' area within the common science curriculum learned by all students. Third, it is necessary to review the placement of content elements by subject and grade and to consider introducing new concepts based on astronomy research keywords. This is an exploratory study to compare curriculum and the field of scientific research that forms the basis of the subject. We expect to provide implications for a future revision of the astronomy curriculum as a primary ground investigation.
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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v.40
no.5
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pp.429-437
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2022
Recently, the demand for a QA (Question Answering) system for human-machine communication has increased. Among the QA systems, a closed domain QA system that can handle spatial-related questions is called GeoQA. In this study, a new type of graph database, LPG (Labeled Property Graph) was used to overcome the limitations of the RDF (Resource Description Framework) based database, which was mainly used in the GeoQA field. In addition, GraphQL (Graph Query Language), an API-type query language, is introduced to address the fact that the LPG query language is not standardized and the GeoQA system may depend on specific products. In this study, database was built so that answers could be retrieved when spatial-related questions were entered. Each data was obtained from the national spatial information portal and local data open service. The spatial relationships between each spatial objects were calculated in advance and stored in edge form. The user's questions were first converted to GraphQL through FOL (First Order Logic) format and delivered to the database through the GraphQL server. The LPG used in the experiment is Neo4j, the graph database that currently has the highest market share, and some of the built-in functions and QGIS were used for spatial calculations. As a result of building the system, it was confirmed that the user's question could be transformed, processed through the Apollo GraphQL server, and an appropriate answer could be obtained from the database.
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