• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.06a
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• pp.165.1-170
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• 1999

Object segmentation fro natural video scenes has recently become one of very active research to pics due to the object-based video coding standard MPEG-4. Object detection and isolation is also useful for object-based indexing and search of video content, which is a goal of the emerging new standard, MPEG-7. In this paper, an automatic segmentation method of moving objects in image sequence is presented which is applicable to multimedia content authoring for MPEG-4, and two different segmentation approaches suitable for surveillance applications are addressed in raw data domain and compressed bitstream domains. We also propose an object-based video description scheme based on object segmentation for video indexing purposes.

• Journal of the Korean Magnetics Society
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• v.5 no.5
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• pp.618-622
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• 1995

We studied the effects of Pt and Cr addition in a new Co-Cr-P-Pt alloy system with the coercivity higher than 2000 Oe even when they were deposited without substrate heating and bias voltage. The coercivity of the films increased from 1000 to 2000 Oe or higher by addition of 12 at.%Pt. The variation of the anisotropy field with increasing Pt content was similar to that of the coercivity. This indicate that the increase of the coercivity might be associated with increase of the anisotropy field with Pt addition. With the addition of Cr, the coercivity of the films increased up to 8 at.%Cr and the coercive squareness of the films decreased. The angular variation of coercivity deviated at a lower angle from domain wall motion mode as the Cr content increases. From these result, it is believed that the grain isolation of the films is enhanced with the addition of Cr.

• International Journal of Knowledge Content Development & Technology
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• v.12 no.3
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• pp.31-49
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• 2022

The study presents a global research scenario in the domain of quantum sensing in quantitative and qualitative terms. The study is based on an analysis of 588 global publications in the field, sourced from the Scopus database for the period 1991-2020. The study identified key countries, organizations and authors, network collaborative linkages at national, institutional, and author level. In addition, it identified broad subject areas intersecting quantum sensing research, key journals for research communications, and broad characteristics of highly-cited papers. The study finds that the USA and Germany lead the world ranking in quantum sensing research with a combined share of 50% to the global output. The USA, Germany, and Italy are the home countries to 13 of the top 15 most productive organizations, and also the home countries to 14 of the top 15 most productive authors in the subject. The top journals publishing most research publications are Physical Review A, Physical Review Letters and New Journal of Physics. However, in the most cited journals list in the subject, Agriculture & Forest Meterology, Science and Physical Review A tops the list.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.61-62
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• 2022

The unit quantity is an important factor influencing the durability, workability, and quality of concrete. Methods for measuring the unit quantity include a high frequency heating method, a unit volume mass method, a capacitance method, and a microwave method. However, these methods have disadvantages of poor measurement method, time required, and accuracy, and a relatively experimental method compensating for these disadvantages was used to measure the unit quantity using a high frequency main sensor (FDR) capable of simple and fast measurement. In addition, the unit quantity was evaluated by analyzing the measurement data through deep learning.

• Asia pacific journal of information systems
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• v.31 no.3
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• pp.335-357
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• 2021

As reproduction of images can be done with ease, copy detection has increasingly become important. In the duplication process, image modifications are likely to occur and some alterations are deliberate and can be viewed as attacks. A wide range of copy detection techniques has been proposed. In our study, content-based copy detection, which basically applies DCT-based features for images, namely, pixel values, edges, texture information and frequency-domain component distribution, is employed. Experiments are carried out to evaluate robustness and sensitivity of DCT-based features from attacks. As different types of DCT-based features hold different pieces of information, how features and attacks are related can be shown in their robustness and sensitivity. Rather than searching for proper features, use of robustness and sensitivity is proposed here to realize how the attacked features have changed when an image attack occurs. The experiments show that, out of ten attacks, the neural networks are able to detect seven attacks namely, Gaussian noise, S&P noise, Gamma correction (high), blurring, resizing (big), compression and rotation with mostly related to their sensitive features.

• Journal of The Korean Association For Science Education
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• v.36 no.1
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• pp.87-101
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• 2016

This study analyzes the content validity of descriptive tests developed for elementary schools, in order to acquire basic data to improve them. Various descriptive tests were collected and tested for differences in proportions between two-dimensional classification of educational objectives and the level of behavioral objectives. Results show that the descriptive tests developed by elementary school teachers mainly focused on "knowledge" and "understanding," and that content validity for behavioral levels to be low. Nine elementary school teachers were interviewed to understand the result. From the interviews, we found both internal and external factors that cause low content validity. The main internal factors were teachers' ability to make two-dimensional classification of educational objectives, the teachers' consideration of students' level, item level of difficulty, the ease of scoring, and path dependence. The main external factors were curriculum, parents, and administration. Based on the results, we suggested the factors related to elementary school teachers' PCK of descriptive tests.

• Journal of Elementary Mathematics Education in Korea
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• v.23 no.4
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• pp.437-457
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• 2019

In this study, we analyzed how the content and achievement criteria of the Geometry domain of Korean elementary school mathematics curriculum have changed. To this end, based on the analysis framework based on the 2015 revised curriculum, the achievement standards for each period were classified into continuous, extinct, and additional types, and their characteristics were examined. In the domain of Geometry, continuous achievement standards accounted for 51% of the total, and there were many achievement standards that remained unchanged in grade and domain. The extinctive achievement standard is 20.4% of the total, and the mathematics contents that were rapidly introduced due to the modernization of mathematics in the 3rd curriculum were eliminated the most from the 4th curriculum, and after the 7th curriculum, With the introduction of staged curriculum and the system of school year group, the contents of learning were either integrated or moved to middle school. The additional achievement standard was 28.6% of the total, and the achievement standard was added the most with the introduction of spatial sensory development in the 7th curriculum. The GAct that the additivel achievement standard is more than the extinction achievement standard in the Geometry domain is the result of the efforts to actively introduce the geometric contents appropriate to the times despite the great flow of curriculum revision of the curriculum reduction. It is hoped that the results of these studies will be used as basic data in the formation of new achievement standards in future curriculum development.

• Proceedings of the Korean Geotechical Society Conference
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• 2005.10a
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• pp.389-394
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• 2005

In this study we carried out to evaluate the salinity concentration and volumetric water content of unsaturated soil column using frequency domain Reflectometry with vector network analyzer (FDR-V) measurement system. All of experiments were considered to the effect of temperature which ranges from l0$^{\circ}C$ to 50$^{\circ}C$ increasing the interval of l0$^{\circ}C$ controlled by the constant temperature container. From the results the responses of complex dielectric constant which consist of the real part and imaginary parts have the effect of volumetric water content and concentration of salinity at 1GHz. Use of derived equations (1) and (2) can be calculated the physical parameters such as volumetric water content and salinity concentration of unsaturated media by the responses of complex dielectric constant.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6719-6727
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• 2015

Background: The objective of this study was to assess the readability, suitability, and health content of cancer screening information in municipal newspapers in Japan. Materials and Methods: Suitability Assessment of Materials (SAM) and the framework of Health Belief Model (HBM) were used for assessment of municipal newspapers that were published in central Tokyo (23 wards) from January to December 2013. Results: The mean domain SAM scores of content, literacy demand, and layout/typography were considered superior. The SAM scores of interaction with readers, an indication of the models of desirable actions, and elaboration to enhance readers' self-efficacy were low. According to the HBM coding, messages of medical/clinical severity, of social severity, of social benefits, and of barriers of fear were scarce. Conclusions: The articles were generally well written and suitable. However, learning stimulation/motivation was scarce and the HBM constructs were not fully addressed. Practice implications: Articles can be improved to motivate readers to obtain cancer screening by increasing interaction with readers, introducing models of desirable actions and devices to raise readers' self-efficacy, and providing statements of perceived barriers of fear for pain and time constraints, perceived severity, and social benefits and losses.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.391-406
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• 2015

Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.