• Journal of Korean Elementary Science Education
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• v.28 no.3
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• pp.331-339
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• 2009

The purpose of this study is to make a list of scientific terms to decrease students' difficulties of science learning. By using inductive method, database has established from elementary school science textbooks and laboratory observation books. All terms from physics area of science textbooks and laboratory observation books at the levels of grade 3 to 6 were analyzed based on the Standard Korean Dictionary (1999) and Book of Physics Terminology (2005). As a result, we made a list of 204 scientific terms by grade level. Those were 51 words for grade 3, 55 words for grade 4, 56 words for grade 5, and 42 words for grade 6. And there were some incongruities among textbooks, the Standard Korean Dictionary and the Book of Physics Terminology.

• Korean Journal of Construction Engineering and Management
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• v.5 no.4 s.20
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• pp.79-86
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• 2004

One of the most difficult tasks in pavement management information systems is establishing the links between performance measures of a structure and the design and construction inputs. In-situ pavement performance can be considered a response variable to many project input variables, such as design, construction, and traffic loading effects. If we are to fully understand the component of pavement performance and specify the inputs through design and construction specifications to achieve that performance we must develop quantitative relationship between input and response variables through a scientific, fully integrated Pavement Performance Analysis System (PPAS). Hence, the objective of this study is to design a database model required for developing an effective database template that will allow analysis of pavement performance measures based on design and construction information linked by location. In order to select the most appropriate database model, a conceptual database model (Entity Relationship Model) and dimensional model, which is believed to be the most effective modeling technique for data warehouse project, are designed and compared. It is believed that other state highway agencies could adopt the proposed design strategy for implementing a PPAS at the discretion of the state highway agencies.

• Journal of IKEEE
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• v.22 no.4
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• pp.948-952
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• 2018

Haze removal is an object of scientific desire due to its various practical applications. Existing algorithms are founded upon histogram equalization, contrast maximization, or the growing trend of applying machine learning in image processing. Since machine learning-based algorithms solve problems based on the data, they usually perform better than those based on traditional image processing/computer vision techniques. However, to achieve such a high performance, one of the requisites is a large and reliable training database, which seems to be unattainable owing to the complexity of real hazy and haze-free images acquisition. As a result, researchers are currently using the synthetic database, obtained by introducing the synthetic haze drawn from the standard uniform distribution into the clear images. In this paper, we propose the enhanced equidistribution, improving upon our previous study on equidistribution, and use it to make a new database for training machine learning-based haze removal algorithms. A large number of experiments verify the effectiveness of our proposed methodology.

• Journal of KIISE
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• v.43 no.2
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• pp.237-245
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• 2016

In this paper we introduce a novel database research area called science of databases (SoDB) and carry out a comprehensive analysis of its case studies. SoDB aims to better understand interesting phenomena observed across multiple database management systems (DBMSes). While mathematical and engineering work in the database field has been dominant, less attention has been given to scientific approaches through which DBMSes can be better understood. Scientific investigations can lead to better engineered designs through deeper understanding of query optimizers and transaction processing. The SoDB research has investigated several interesting phenomena observed across different DBMSes and provided several engineering implications based on our uncovered results. In this paper we introduce a novel scientific, empirical methodology and describe the research infrastructure to enable the methodology. We then review each of a selected group of phenomena studied and present an identified structural causal model associated with each phenomenon. We also conduct a comprehensive analysis on the case studies. Finally, we suggest future directions to expand the SoDB research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.372-378
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• 2016

The purpose of this study is to develop a system configuration for gathering data and building a database for agriculture. Some foreign agriculture-related companies have already constructed such a database for scientific agriculture. The hardware of this system is composed of automatic capturing equipment based on aerial photography using a UAV. The software is composed of parts for stitching images, matching GPS data with captured images, and building a database of collected weather information, farm operation data, and aerial images. We suggest a method for building the database, which can include information about the amount of agricultural products, weather, farm operation, and agricultural land images. The images of this system are about 5 times better than satellite images. Factors such as farm working and environmental factors can be basic data for analyzing the full impact of agriculture land. This system is expected to contribute to the scientific analysis of Korea's agriculture.

• Journal of Information Management
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• v.26 no.4
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• pp.100-115
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• 1995

This paper outlines recent conditions after the collapse of former Soviet Union and presents activities in eight major information-related organizations including International Center for Scientific and Technical Information, Russian State Central Scientific Medical Library. Russian National Public Library for Science and Technology, All-Russian Institute for Science and Technical Information, Natural Sciences Library of Russian Academy of Sciences, Scientific and Technical Information Center of Russia, Russian State Library and All-Russian Scientific and Research Institute of State Patent Examination. All of these organizations face economic difficulties brought about by financial crisis and inflation as well as shortage of the state budget. In addition, the domestic information processing technology using computers and computer networks is generally inferior to that of developed western countries due to lack of growth of information infrastructure in Russia.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.123-135
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• 2011

The domestic market of database in Korea is estimated to be over 3.663 trillion won. The data migration is getting to be more important along with the continuous growth of the database industry. g-CRM and private recommending function are examples of the service that can be given through coupling among customer database, product database, geographic information database, and others. The core infrastructure is also the database which is integrated, perfect, and reliable. There are not enough researches on efficient way of data migration and integrating process and investigation of migrated data though trends of database in IT environment as above. In connection with this issue, we have made a model for data migration on scientific and technological contents and suggest the result of data migration process adapting that model. In addition, we verified migration's exhaustiveness, migration's consistency, and migration's coherence for investigation of migrated data and database. From the result, we conclude data migration based on proper model has a significant influence on the database consistency and the data values correctness and is essential to maintain high qualified database.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.22 no.6
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• pp.27-39
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• 2019

The object of this research is to compare zoology and botany name caused by language and science differences of South and North Korea since division. Biological data are collected North Korea biological information (flora and fauna, an illustrated flora and fauna book of North Korea, Etc.) and compared both side data based on national species list of korea, National Institute of Biological Resources. We could built 3,903 species of flora and 1,487 species flora on biological database. The criteria for comparative method is 5 types (korean name difference, scientific name difference, same species, similar species, North Korea endemic species). As a results, plants were identified korean name difference (911 species), scientific name difference (614 species), same species (880 species), North Korea endemic species (1,037 species) of 3,903 species, and animals were korean name difference (685 species), scientific name difference (104 species), same species (199 species), North Korea endemic species (226 species) of the 1,492 species. This results are expected to be in application with cooperation study for recovering bioinformatics differences of South and North Korea.

• Journal of Information Technology Applications and Management
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• v.27 no.2
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• pp.23-36
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• 2020

The promulgation of the overall framework of Chinese students' development of core literacy has made the implementation of core literacy into specific teaching activities an urgent problem to be solved in the field of education. Based on the analysis of the problems existing in the undergraduate education under the mode of emphasizing theory and neglecting practice, this paper constructs the practical teaching system of Database Principle Course Based on the core quality, expounds the implementation strategy of practical teaching, and probes into how to train the students in the practical teaching of database principle Cultivate scientific spirit, learning ability, practical innovation, responsibility and other core literacy. After 5 rounds of practice, students have achieved better development in independent development and collaborative work, and their awareness of practical innovation has been significantly improved.

• Journal of Information Management
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• v.30 no.1
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• pp.11-28
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• 1999

STN(The Scientific & Technical Information Network) is a fee-based, comprehensive, online search service that provides. accurate, up-to-date information from over 200 scientific, technical, business, and patent databases. STN Easy(http: //stneasy.cas.org) provides point-and-click access to 59 selected key STN databases on the web, and it gives drawings and 3-dimensional chemical structures as well as citation-abstract informations. And information searchers are now able to access full-text documents from key scientific publishers and patent offices through STN Easy via the ChemPort(http://www.chemport.org) connection.