• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.12
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• pp.871-879
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• 2017

The purpose of this study is to propose a Busan tourism industry in which the 2016 OECD Tourism policy and ICT convergence platform are applied. OECD proposed 3 policies to promote the tourism industry: First, to maintain the competitiveness of the tourism industry as well as improve its efficiency and sustainability, second, to establish a seamless traffic system, and third, to build a response to the sharing economy. Centering on the OECD's three policies, we propose the developmental possibilities of tourism in Busan. At the same time, we suggest the necessity to build an ICT convergence platform that will help foster the industry. In building an ICT convergence platform, we especially focus on the necessity of: 1. Sharing and creating experience-based interactive contents on the software side, and 2. Developing high quality user experience (UX) and providing a data analysis-based customized service on the hardware side. In addition, we insist on the establishment of the Tourism Promotion Agency for the continuous performance and management of Busan tourism industry. The study ultimately suggests that the construction of ICT convergence platform based on OECD tourism policy can result in the expected outcomes of high effects with low cost for both consumers and suppliers related to the tourism industry.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.89-115
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• 2019

This study was conducted to present the stylistic differences between Arthur Conan Doyle and Agatha Christie, famous as writers of classical mystery novels, through data analysis, and further to present the analytical methodology of the study of style based on text mining. The reason why we chose mystery novels for our research is because the unique devices that exist in classical mystery novels have strong stylistic characteristics, and furthermore, by choosing Arthur Conan Doyle and Agatha Christie, who are also famous to the general reader, as subjects of analysis, so that people who are unfamiliar with the research can be familiar with them. The primary objective of this study is to identify how the differences exist within the text and to interpret the effects of these differences on the reader. Accordingly, in addition to events and characters, which are key elements of mystery novels, the writer's grammatical style of writing was defined in style and attempted to analyze it. Two series and four books were selected by each writer, and the text was divided into sentences to secure data. After measuring and granting the emotional score according to each sentence, the emotions of the page progress were visualized as a graph, and the trend of the event progress in the novel was identified under eight themes by applying Topic modeling according to the page. By organizing co-occurrence matrices and performing network analysis, we were able to visually see changes in relationships between people as events progressed. In addition, the entire sentence was divided into a grammatical system based on a total of six types of writing style to identify differences between writers and between works. This enabled us to identify not only the general grammatical writing style of the author, but also the inherent stylistic characteristics in their unconsciousness, and to interpret the effects of these characteristics on the reader. This series of research processes can help to understand the context of the entire text based on a defined understanding of the style, and furthermore, by integrating previously individually conducted stylistic studies. This prior understanding can also contribute to discovering and clarifying the existence of text in unstructured data, including online text. This could help enable more accurate recognition of emotions and delivery of commands on an interactive artificial intelligence platform that currently converts voice into natural language. In the face of increasing attempts to analyze online texts, including New Media, in many ways and discover social phenomena and managerial values, it is expected to contribute to more meaningful online text analysis and semantic interpretation through the links to these studies. However, the fact that the analysis data used in this study are two or four books by author can be considered as a limitation in that the data analysis was not attempted in sufficient quantities. The application of the writing characteristics applied to the Korean text even though it was an English text also could be limitation. The more diverse stylistic characteristics were limited to six, and the less likely interpretation was also considered as a limitation. In addition, it is also regrettable that the research was conducted by analyzing classical mystery novels rather than text that is commonly used today, and that various classical mystery novel writers were not compared. Subsequent research will attempt to increase the diversity of interpretations by taking into account a wider variety of grammatical systems and stylistic structures and will also be applied to the current frequently used online text analysis to assess the potential for interpretation. It is expected that this will enable the interpretation and definition of the specific structure of the style and that various usability can be considered.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.12
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• pp.2469-2475
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• 2015

A structured XML has been widely used to present services on various Web-services. The XML is also used for digital documents and digital signatures and for the representation of multimedia files in email systems. The XML document should be firstly parsed to access elements in the XML. The parsing is the most compute-instensive task in the use of XML documents. Most of the previous work has focused on hardware based XML parsers in order to improve parsing performance, while a little work has studied parsing techniques. We present the high performance parsing technique which can be used all of XML parsers and design hardware based XML parser using an FPGA. The proposed parsing technique uses element analyzers instead of the state machine and performs multibyte-based element matching. As a result, our parsing technique can reduce the number of clock cycles per byte(CPB) and does not need to require any preprocessing, such as loading XML data into memory. Compared to other parsers, our parser acheives 1.33~1.82 times improvement in the system performance. Therefore, the proposed parsing technique can process XML documents in real time and is suitable for applying to all of XML parsers.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.4
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• pp.78-86
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• 1999

In this paper, a distributed arithmetic digital neural network with learning and testing phase implemented in a body has been studied. The proposed technique is based on the two facts; one is that the weighting coefficients adjusted will be stored in registers without shift, because input values or input patterns are not changed while learning and the other is that the input patterns stored in registers are not changed while testing. The proposed digital neural network is simulated by hardware description language such as VHDL and verified the performance that the neural network was applied to the recognition of seven-segment. To verify proposed neural networks, we compared the learning process of modified perceptron learning algorithm simulated by software with VHDL for 7-segment number recognizer. The results are as follows: There was a little difference in learning time and iteration numbers according to the input pattern, but generally the iteration numbers are 1000 to 10000 and the learning time is 4 to 200$\mu\textrm{s}$. So we knew that the operation of the neural network is learned in the same way with the learning of software simulation, and the proposed neural networks are properly operated. And also the implemented neural network can be built with less amounts of components compared with board system neural network.

• Journal of Korean Home Economics Education Association
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• v.30 no.1
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• pp.43-63
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• 2018

The purpose of this study is to examine the various contexts affecting life culture through practical reasoning process and to select the goal and contents system of unification education in middle school home economics to form healthy unification community and to develop teaching and learning process. Based on the Unification Education Guidelines, Unification Education Pre-Study, Pre-Study on North Korean Defectors, and Analysis of the 2015 Revision Home Economics Curriculum in Korea, Goal and content system. Based on this, we developed a teaching and learning process and a student activity place applying practical reasoning process after extracting practical problems, and prepared a final development plan based on the results of two expert group evaluations. The results of this study are summarized as follows. First, the goal of unification education in the middle school home economics class is to 'Based on the social-cultural context, we develop the ability to cultivate healthy reunification by respecting the differences between the cultures of the two Koreas and discovering common values in a unified society and resolving practical issues in a unified society.'. Second, the content system of middle school home economics unification education was selected as the core theme of 'Unification Education Focused on the Living Culture'. The content elements were comprehending the socio - cultural context that affects the life culture of the two Koreas, Related language, maintenance of diversity of dietary culture in each region including North Korean food, social norms and attire, correct housing value and common living etiquette. Based on the goals of unification education in the middle school home school curriculum, we selected practical issues as 'What should we do to create a healthy unified community?'. Third, the teaching and learning process of unification education in junior high school home economics education is to recognize the problem of unification, to analyze the factors affecting the life culture of the two Koreas, to grasp the effect of the action and the ripple effects, to select alternative methods, And 4 subjects for 8 teaching learning course plan, and 35 teaching materials.

• Journal of Christian Education in Korea
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• v.65
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• pp.81-102
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• 2021

In church tradition, cultural misappropriation has often legitimized unjust hierarchy rather than to challenge it. Under the rubric of culturalism, Christian Education has served to justify the oppressive system and maintain status quo as well. A feminist theologian, Rebecca Chopp argues that the contemporary Western culture has intensified narcissistic individualism and self-referentiality and has supported the powerful, while forced the marginalized to be silent. Chopp insists that the role, nature, and mission of Christianity is to provide Word and words of emancipatory transformation. She advocates poststructural feminist theology and aims at renewal of the socio-symbolic order in society by criticizing assumptions underneath language, culture and politics. In this study, we will review the interview with an Asian-American couple and disclose the underlying assumptions and hegemony which have contributed to maintain the male domineering system. I suggest that Christian education for emancipatory transformation should encourage the oppressed women to reflect critically the existing order and to restore their own voice through constructive intervention facilitating "plurivociy" and "problem-posing" dialogue. Proclaimation of transformative Word can empower the marginalized people to revision the world alternatives to monotheistic patriarchal modernism.

• Journal of Haehwa Medicine
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• v.9 no.1
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• pp.745-761
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• 2000

Literatural study for Delirious speech and Fading murmuring, the results were as follows. 1. Delirious speech and Fading murmuring are given at the speech impediment. Derious speech to be out of language's order and slur the end of his words, and Fading murmuring is to repeat in losing conscious. 2. In constrast with Delirious speech and Fading murmuring, Maniac speech is induced by a general term for manic-depressive psychosis. Luoyan is to say in a feeble voice and mumble in a sleeping condition, and Paraphasia and Solioquy are appeared in a clear mental condition. The speech impediment is caused by damages of the nervous system and speech organ, and Yuyancuoluan is appeared in a feverless condition. 3. The symptoms of Delirious speech are to utter ravings and have a loud and heavy voice, and these resemble the delirium which specially has a speech impediment and muddle in the western medical world. The symptoms of Fading murmuring are to speak ambigously, repeatedly, and illogically and so are similar to the Wernicke dysphasia which is caused by a incomprehensible conversation. 4. The causes of Delirious speech are to spread a stomach heat and the lungs pathogenic qi into heart, not to sweat in cold damage, the Three Yang Combination of syndrome, stomach repletion, yang collapse due to excessive sweat, diarrhea, after diarrhea, heat to enter the blood chamer, feces to remain in the stomach, stasis blood to enter the viscera, to carry anger to extremity, and to be constipated. the cause of Fading murmuring is to despair vacuity desertion of vital essence and energy after a serious illness. 5. The causes of delirium are general infection, postoperative states, and metabolism disorders and those of Wernicke dysphasia are disorders of the blood vessel, brain tumors and traumas. 6. Delirious speech is cured with the discrimination of vacuity and repletion. Baitong Tang(白通湯), Chaihu Guizhi Tang(柴胡桂枝湯), Chaihu Jia Longgu Muli Tang(柴胡加龍骨牡蠣湯) are prescribed in case of vacuity, while Chengqi Tang(承氣湯), Baihu Tang(白虎湯), Liangge San(凉膈散) are in case of repletion. Fading murmuring is treated with Xiao Chaihu Tang(小柴胡湯), Fuzi Tang Jiawei(附子湯加味), Shengmai San(生脈散), and Renshen Sanbai Tang(人蔘三白湯). 7. To acupunture Qimen-Xue(期門穴) is required when it is late to prescribe a medical decoction or the hyperactive liver qi attacking the spleen.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.

• Journal of The Korean Association For Science Education
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• v.24 no.5
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• pp.805-813
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• 2004

Our educational system clearly places much greater value on left hemisphere learning. Students who process information in other ways are at a serious disadvantage and may not be learning efficiently. Since mind mapping emphasizing visual and spatial language, it helps students to use the whole brain and promotes more effective comprehension. The purpose of this research was to determine the effects of the instruction using mind map on the science achievement of students. A pretest-posttest control group design was employed. Subjects were 153 male and female, first grade students in a middle school. A control group of 83 was instructed with a traditional teaching method, and an experimental group of 70 was instructed by using a mind mapping strategy. Two groups were treated for 50 hours during 17 weeks. Tolerance's 'Style Of Learning And Thinking(SOLAT)' was used to assess students' lateralization preferences. A 30-item multiple choice posttest was used to assess students' achievement. To analyze the data, we used an analysis of covariance(ANCOVA) and i-tests. It was found that 21.6% of students was left brain dominant, 31.4%, right brain dominant and 47.1 % was integrated style. There was no gender difference in hemispheric dominance. Significant differences existed between the test scores when they were taught by using a mind map. Mind mapping turned out to be a valuable learning technique for the right brain students, helping them to achieve the same level of subject mastery as left brain students. There was a significant difference between males and females in relation to mind map application. Female scored significantly higher than males.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.29 no.2
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• pp.139-148
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• 2011

This study has a purpose of base study for ascertaining landscape architect's role of Reung Chambong through analyzing old literature include Kyungkukdae-Jeon, Sokdae-Jeon, Daejeonhoitong, Joseonwangjo-Sillok, Eugye, Reung-Ji, Ilsung-Rok, Reung Chambong's diary. Reung Chambong was a government post in the Joseon dynasty, who managed Royal Tombs of Joseon Dynasty that has promoted as a World Heritage of UNESCO. the conclusions drawn from this study are as follows. First, Reung Chambong was comprised of two Jong 9 pum Chanmbong members. a position of Reung Chambong was a Eumjik appointed Saengwon, Jinsa, Yuhak completed Sammang. the standards of appointment is a experienced person and too young. it became means for accessing a government post because it had a symbolic representation of Royal Tombs guardian. Second, The management system of Reung Chambong was approved on the basis of ranking. however, due to geographical reasons, they had much authority and various mission than is possible. for example, construction supervisor of the Reung and Bongsim, manager of the Reungsuhogun and filling out Reungji. they performed an important role in management of Royal Tombs in the Joseon dynasty. Third, One of tasks related in landscape architecture, a Bongshim reported Sukmul(stonework), Sacho, Jungja-Gak of Reungsang to Yejo periodically. formational system and method of Bongshim are provided in the Kyungkukdae-Jeon and Sokdae-Jeon detailedly. Fourth, Tree management and construction supervisor of Reungsang, positions among tasks related in landscape architecture, required basic understanding and management ability of botany, various eye for spatial perception includes civil and architectural projects. also, as a site management of Royal Tombs in the Joseon dynasty, Reung Chambong was empowered tacit authorization and responsibility in mobility preoccupancy of vertical relationship with local officials and handling by-product of site. there is a close correspondence with landscape architect of today. A follow-up research is required to ascertain landscape architect historical values of Royal Tombs in the Joseon dynasty and Reung Chambong's role as a site management of Royal Tombs in the Joseon dynasty through historical seeking and research old literature on Reung Chambong's role related in landscape architect.