• Advances in nano research
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• v.1 no.4
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• pp.183-192
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• 2013

One-dimensional multiferroic nanostructured composites have drawn increasing interest as they show tremendous potential for multifunctional devices and applications. Herein, we report the synthesis, structural and dielectric characterization of barium titanate ($BaTiO_3$)-bismuth ferrite ($BiFeO_3$) composite fibers that were obtained using a novel sol-gel based electrospinning technique. The microstructure of the fibers was investigated using scanning electron microscopy and transmission electron microscopy. The fibers had an average diameter of 120 nm and were composed of nanoparticles. X-ray diffraction (XRD) study of the composite fibers demonstrated that the fibers are composed of perovskite cubic $BaTiO_3$-$BiFeO_3$ crystallites. The magnetic hysteresis loops of the resultant fibers demonstrated that the fibers were ferromagnetic with magnetic coercivity of 1500 Oe and saturation magnetization of 1.55 emu/g at room temperature (300 K). Additionally, the dielectric response of the composite fibers was characterized as a function of frequency. Their dielectric permittivity was found to be 140 and their dielectric loss was low in the frequency range from 1000 Hz to $10^7$ Hz.

• Journal of Information Technology Services
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• v.13 no.1
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• pp.147-159
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• 2014

Recently, the quantity of information that is accessible from the Internet is being dramatically increased. Searching the Web for useful information has therefore become increasingly difficult. Thus, much research has been done on web robots which perform internet information filtering based on user interest. If a web site which users want to visit is found, its content is searched by following the searching list or Web sites links in order. This search process takes a long time according as the number of page or site increases so that its performance need to be improved. In order to minimize unnecessary search with web robots, this paper proposes an efficient information collection system based on compare and merge method. In the proposed system, a web robot initially collects information from web sites which users register. From the next visit to the web sites, the web robot compares what it collected with what the web sites have currently. If they are different, the web robot updates what it collected. Only updated web page information is classified according to subject and provided to users so that users can access the updated information quickly.

• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.1-12
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• 2005

In this paper, we analyze the course 'computer' on middle and high schools. and propose new organization of the course to enhance the ability of self-directed learning. We also develop a learning system for new organization, based on self-directed teaching and learning principles. The developed learning system makes students choose the topics according to their interest and advance learning by the schedule they set by themselves. To promote students' participation, the teacher also gives students various learning tasks. Through e-board and Q&A, we also accelerate mutual communication among teachers and students, to do teaching-learning activities vigorously.

• KSBB Journal
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• v.26 no.4
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• pp.267-276
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• 2011

There is a growing worldwide interest in the potential of marine biomass as an environmentally friendly and economically sustainable resource. Due to the great lack of comprehensive information about domestic seaweed resources, this study aimed to analyze the existing literature on the production and types of domestic seaweed species. Based on this data the possibilities of industrial use of domestic seaweed for the production of biofuels and bioplastics had been assessed. Our review took into account the seaweed species on domestic coasts as well as the species currently in great production via seaweed farming. Due to their wide distribution, their status as farmed crops, and the likelihood of securing their reliable supply, Codium fragile, Hizikia fuciformis, and Gelidium amansii were deemed to be the most appropriate candidates for domestic industrial use. The industrial potential of seaweed biomass was also explored by comparing the predicted amount of biomass necessary to replace current gasoline and plastics use with currently available farming space. The results of our study imply that once a steady and adequate supply of the proper kinds of seaweed can be secured through seaweed farming, there is a great potential for the development of new seaweed-based biofuels and bioplastics industries in Korea.

• Korean Institute of Interior Design Journal
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• v.21 no.1
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• pp.103-110
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• 2012

With a theoretical focus on the emotional experiences created via the interface, and the relationship between human beings and space, this study aims to corroborate and clarify the formation and verification of emotional interactions between human beings and space using body movements. It follows the method of Coining "Movement Phrases" through the analysis of body movements in the experimental space, thereby developing them into a complete scenario to produce the story of emotional expression. This study has hereby generated the following outcomes: First, the "pocket-type" exhibition displays a higher frequency of body movements than the "general" exhibition. It has close connections with emotional vocabularies: "Curious," "interesting," "warm," and "fun." The "general" exhibition records a relatively high frequency of emotional vocabularies like "natural," "efficient," and "free." Second, it is possible to analyze the story of space using a scenario, just like drama, based upon attributes and serial relationships. The "exposition" section reveals a high degree of "curiosity" and a large number of body movements, while the "development" section indicates high degree of "surprise" plus slight body movements. The "transition" sections manifest high "interest" and many body movements, and the "climax" section shows a high frequency of "surprise" and many changes in body movements. The "conclusion" section finally invokes images together with body movements.

• The Research Journal of the Costume Culture
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• v.20 no.6
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• pp.838-853
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• 2012

The purpose of this study is to identify adult learners' decision making variables, satisfaction, and evaluation toward fashion education as a university lifelong education program. As decision making variables, this study included participation purpose, information source, and selection criteria for lifelong education center and program. Regarding satisfaction toward fashion education, this study included satisfaction toward program and satisfaction toward education condition and administrative services. Data were gathered by both questionnaires and focus group interview(FGI) with 12 adults who completed the program. While questionnaires were used for decision making variables and satisfaction, FGI was used for evaluation. Frequency was used to analyze the questionnaires and content analysis was used to analyze the results of FGI. The findings showed that respondents participated mostly because of hobby or interest and got information mostly from acquaintances. They regarded program contents as the selection criteria for lifelong education center. They also regarded lecturers' professionality as the selection criteria for the program and showed high satisfaction toward lecturers' passion. Regarding education condition and administrative services, they showed high satisfaction. FGI also showed the importance of individual competence, career development, a work-study program, a on-site study program, and lecturer. The results suggest methods to make university lifelong education programs more appealing to adults who want to attend universities for non-degree university programs.

• ETRI Journal
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• v.42 no.1
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• pp.67-77
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• 2020

Image captioning has received significant interest in recent years, and notable results have been achieved. Most previous approaches have focused on generating visual descriptions from images, whereas a few approaches have exploited visual descriptions for image classification. This study demonstrates that a good performance can be achieved for both description generation and image classification through an end-to-end joint learning approach with a loss function, which encourages each task to reach a consensus. When given images and visual descriptions, the proposed model learns a multimodal intermediate embedding, which can represent both the textual and visual characteristics of an object. The performance can be improved for both tasks by sharing the multimodal embedding. Through a novel loss function based on class activation mapping, which localizes the discriminative image region of a model, we achieve a higher score when the captioning and classification model reaches a consensus on the key parts of the object. Using the proposed model, we established a substantially improved performance for each task on the UCSD Birds and Oxford Flowers datasets.

• Korean Journal of Artificial Intelligence
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• v.7 no.1
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• pp.17-22
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• 2019

The rapid development of artificial intelligence technology has exerted a great influence on all fields of the world, which of course also affects the world economy. This has also aroused a large number of economists' interest in this proposition. Since the definition of artificial intelligence is not unified yet, the results from previous researches are not reliable enough. At present, most scholars use the neoclassical growth model or task-based model to explore the path of artificial intelligence on economic variables. There into, most of them use the degree of automation to represent the artificial intelligence. They find that the degree of automation can change the proportion of industries. This only verifies that artificial intelligence can affect the economic variables. But the magnitude of artificial intelligence on economic variables can not be correctly estimated. Therefore, in order to have a better understanding on the impact of artificial intelligence on economic growth, this paper systematically reviews and collates previous literature on this topic. The results of this paper indicate that both in theoretical and empirical studies, artificial intelligence has a positive effect on economic growth. Then, some suggestions and limitations have also been put forward accordingly.

• Korean Business Review
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• v.21 no.1
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• pp.37-49
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• 2008

Many sports organizations have been founded due to the Increasing demand for sports with the development of leisure culture. As a social institution for sport facilitation, sports organizations should assure rationality and transparence of finance and operation by introducing a system for financial reporting as usually adopted for a profit-making corporation. Also, general regulations on the tax obligation in sports organizations have to be formulated more clearly. This study tried to derive some implications for the accounting and taxation obligations in Korean sports organizations based on a basic model of public sports organizations, formed with a profit-making organization and satisfying the requirements of public interest as regulated by German taxation law.

• Journal of Korean Academy of Nursing
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• v.35 no.2
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• pp.270-282
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• 2005

Purpose: This study was conducted to develop a comprehensive cognitive rehabilitation program that can be easily applied to brain injured patients by family members or nurses in community or hospital settings. Methods: A Systemic literature review design was used. Thirty-three related studies were reviewed. Result: Based on the results of the literature review, the training tasks for attention were designated to enhancing 4 hierarchical areas, i.e., focused, selective, alternating, and divided attention. On the other hand, the memory rehabilitation tasks mainly consisted of mnemonic skills, such as the association method which helps patients memorize given information by linking together common attributes, the visual imagery method, and self-instruction method. The problem solving rehabilitation program included a task of games or plays which stimulated the patients' curiosity and interest. The training tasks for problem solving were to encourage the process of deriving reasonable solutions for a problematic situation resembling real problems that the patients were faced with in their everyday life. Conclusion: It is expected that the cognitive rehabilitation program developed from this study could help patients having difficulty in their every day life, due to a reduced cognitive ability resulting from brain injury, to effectively adapt to every day life.