Journal of the Korea Academia-Industrial cooperation Society
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v.7
no.6
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pp.1047-1055
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2006
We patterned nano-width lines on a super hard bulk diamond substrate by varying the ion beam current and ion beam sources with a dual beam field ion beam (FIB). In addition, we successfully fabricated two-dimensional nano patterns and three-dimensional nano plate modules. We prepared nano lines on a diamond and a silicon substrate at the beam condition of 30 kV, 10 pA $\sim$ 5 nA with $Ga^+$ ion and $H_2O$ assisted ion sources. We measured each of the line-width, line-depth, etched line profiles, etch rate, and aspect ratio, and then compared them. We confirmed that nano patterning was possible on both a bulk diamond and a silicon substrate. The etch rate of $H_2O$ source can be enhanced about two times than that of Ga source. The width of patterns on a diamond was smaller than that on a silicon substrate at the same ion beam power The sub-100 nm patterns on a diamond were made under the charge neutralization mode to prevent charge accumulation. We successfully made a two-dimensional, 240 nm-width text of the 300-lettered Lord's Prayer on a gem diamond with 30 kV-30 pA FIB. The patterned text image was readable with a scanning electron microscope. Moreover, three dimensional nano-thick plate module fabrication was made successfully with an FIB and a platinum deposition, and electron energy loss spectrum (EELS) analysis was easily performed with the prepared nano plate module.
This study, which works to develop a method of focusing on A Quiet Dream by Zhang Lu, explored the structural differences of films and the changes in Zhang Lu's aim and perspective as noted in films, by a review to grasp his internal changes in texts and contextual factors. In A Quiet Dream, Zhang Lu made a filmic attempt that had never been made in the world of films prior to that date. He tried an aesthetic experiment on how films could reorganize the world, by using the effect of obscuring the boundary between reality and dream in films and generating a new narrative regarding filmic reality, actual reality, and the life and artistic truth of the Diaspora. Generally speaking, the changes in the narrative in A Quiet Dream seem to be his resistance against himself and the Diaspora. Thus, in the discussion about A Quiet Dream, relying on the external factors intervening in the relationship between the subject of creation and films is not a useful endeavor at this time. Consequently, it is noted that after settling down in Korea, Zhang Lu could directly approach the changes in the cultural position of films in multilayered ways, where films were the most dynamic part of his life. Due to the changes in the Diaspora, he could obscure the boundary for the first time in the world of films and experiment with how films could escape develop an interesting perspective that deviated from reality, and made a new goal to show new ideas regarding the individual's awareness of the world.
Donald Trump, the $45^{th}$ president of the United States, has revived the 'English Only' policy since the beginning of his presidential campaign. The monolingualism not only underscores his extremely conservative ideas, but it also reflects the nativist tendency that prevents the demographic and cultural transformation of the US, which is accelerated by globalization and transnational migration. In particular, Donald Trump tries to reconfirm the mainstream American culture that is now thought to have been threatened by Hispanization and the growing number of Spanish speakers. This paper examines the effects of "code-switching" and the possibility of a bilingual community by contrasting Donald Trump with Gloria $Anzald{\acute{u}}a$, one of the representative Latina writers who created a "border language." Borderlands/La Frontera (1987) includes Spanish glossaries and expressions to represent her bilingual realities, while attempting to translate from English to Spanish, and vice versa. However, the text occasionally demonstrates the impossibility of translation. In doing so, $Anzald{\acute{u}}a$ indirectly states that it is indispensable to present both languages at the stage; she also invites monolingual readers to make more efforts to learn and better understand the Other's language. A "border language" she attempts to embody throughout the text is created in the process of encounters, conflicts, and negotiations among languages of different ethnicities, classes and generations. It does not signify an established form: rather it appears as a constantly transforming language, which can provide us with new perspectives and an alternative way of communication beyond monolingualism.
The performance of natural language processing is rapidly improving due to the recent development and application of machine learning and deep learning technologies, and as a result, the field of application is expanding. In particular, as the demand for analysis on unstructured text data increases, interest in NLP(Natural Language Processing) is also increasing. However, due to the complexity and difficulty of the natural language preprocessing process and machine learning and deep learning theories, there are still high barriers to the use of natural language processing. In this paper, for an overall understanding of NLP, by examining the main fields of NLP that are currently being actively researched and the current state of major technologies centered on machine learning and deep learning, We want to provide a foundation to understand and utilize NLP more easily. Therefore, we investigated the change of NLP in AI(artificial intelligence) through the changes of the taxonomy of AI technology. The main areas of NLP which consists of language model, text classification, text generation, document summarization, question answering and machine translation were explained with state of the art deep learning models. In addition, major deep learning models utilized in NLP were explained, and data sets and evaluation measures for performance evaluation were summarized. We hope researchers who want to utilize NLP for various purposes in their field be able to understand the overall technical status and the main technologies of NLP through this paper.
This paper explores divination cultures of ancient China and how scriptures of the Zhou Yi had been interpreted in terms of Confucian ethics by the Confucian school focusing on Gan hexagram in the Shanghai Museum Zhou Yi manuscript. Gan hexagram shown on the Shanghai Museum Zhou Yi manuscript corresponds with Xian hexagram 咸卦 in the received text of the Zhou Yi, which means "gan 感," and the whole subjects of the hexagram are physical love and marriage between male and female. Such examples of divination for wedding between male and female are found frequently in ancient divination including Qinghuajian "Shifa" and these materials also demonstrates that Gan hexagram merely was a divination for love and marriage. However, Xunxi 荀子 "Dalue" 大略 and "Tuanzhuan" of the received text of the Zhou Yi had expanded to the dao 道 of husband and wife, and moreover, "erqi 二氣" philosophy of yin and yang by abstracting the theme of Gan hexagram, namely Xian hexagram, from love and marriage between male and female. Such expansion had stepped forward to a generative theory of all things that composes the world and cosmos in a way of natural philosophy and to a claim for peace under heaven in a way of human society through influences by shengren 聖人. "Xuguazhuan" also regards Xian hexagram 咸卦 as the dao of husband and wife and, based on it, expands to parents and children, sovereign and subject, superiors and inferiors, and the proprieties. The commentary of "Xuguazhuan" is concluded to human manners, starting with cosmic order. These statements interpreted scriptures of the Zhou Yi as Confucian ethics and show the aspects of how the Zhou Yi had become a Confucian classic.
Journal of the Korean Society of Earth Science Education
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v.13
no.3
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pp.305-316
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2020
This study aimed to analyze the conception of an extra-solar planet perceived by university students. To conduct this, we developed an extra-solar planet education program and questionnaires which help to figure out changes between before and after the program, and then applied them to the targeted students. The results of the study are as follows. First, as to the conception of an extra-solar planet, participants understood it merely as a planet outside the solar system before they got training. However, they expanded it to the one revolving around a star that appears outside the solar system based on keywords after the training. Second, they gave brief responses regarding exploration strategies (e.g., observing the extra-solar planet by using the Doppler effect, dietary phenomenon, and gravitational lens) based on indirect experiences they encountered in the media. The responses indicated their lack of concept of the extra-solar planet exploration methods. However, their recognition of the extra-solar planet observation became concrete while students learned about the exploration of the extra-solar planet. Third, they were expanding the importance of the exoplanet observation simply beyond the discovery of extraterrestrial life to the creative process and research methods, including the solar system and the development of humanity. Fourth, they recognized that exoplanet education is necessary for curriculum as it will be able to bring about students' interest and curiosity as well as scientific knowledge if contents related to the extra-solar planet appear in the earth science curriculum.
Park, Mingyu;Jeon, Byeongmin;Kim, Jongwoo;Geum, Youngjung
The Journal of Society for e-Business Studies
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v.26
no.1
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pp.1-28
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2021
FinTech has been discussed as an important business area towards technology-driven financial innovation. The term fintech is a combination of finance and technology, which means ICT technology currently associated with all finance areas. The popularity of the fintech industry has significantly increased over time, with full investment and support for numerous startups. Therefore, both academia and practice tried to analyze the trend of the fintech area. Despite the fact, however, previous research has limitations in terms of collecting relevant databases for fintech and identifying proper application areas. In response, this study proposed a new method for analyzing the trend of Fintech fields by expanding Fintech's terminology and using network analysis and topic modeling. A new Fintech terminology list was created and a total of 18,341 patents were collected from USPTO for 10 years. The co-classification analysis and network analysis was conducted to identify the technological trends of patent classification. In addition, topic modeling was conducted to identify the trends of fintech in order to analyze the contents of fintech. This study is expected to help both managers and investors who want to be involved in technology-driven financial services seize new FinTech technology opportunities.
Journal of the Korean Association of Geographic Information Studies
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v.24
no.4
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pp.184-193
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2021
The system for managing spatial data updates the existing information by extracting only the information that is different from the existing information for the newly obtained spatial information file to update the stored information. In order to extract only objects that have changed from existing information, it is necessary to compare whether there is any difference from existing information for all objects included in the newly obtained spatial information file. This study was conducted to improve this total inspection method in a situation where the amount of spatial information that is frequently updated increases and data update is required at the national level. In this study, before inspecting individual objects in a new acquisition space information file, a method of determining whether individual space objects have been changed only by the information in the file was considered. Spatial data files have structured data characteristics different from general image or text document files, so it is possible to determine whether to change the file unit in a simpler way compared to the existing method of creating and managing file hash. By reducing the number of target files that require full inspection, it is expected to improve the use of resources in the system by saving the overall data quality inspection time and saving data extraction time.
With the advent of generative artificial intelligence technology, it became possible to create a virtual human, and produce a lecture video only with textual information. It is expected that the virtual human will enhance the efficient production of educational contents and the student's entertainment experience and satisfaction. However, there have been still few studies that have demonstrated the process of how virtual human technology reaches students' satisfaction. Therefore, the purpose of this study is to empirically examine whether the human likeness, which is the main characteristic of a virtual human based on Uncanny Valley theory, affects human experience and satisfaction. In particular, human likeness of the Uncanny Valley theory was subdivided into human likeness in the visual and verbal dimensions, and the process of reaching satisfaction was understood based on the experience economy model. In particular, human similarity in Uncanny Valley theory was classified as similarity in the visual and language levels, and the process of reaching satisfaction based on the experiential economic model was analyzed with a partial least squares structure model equation (PLS-SEM). The survey was conducted online for a panel of office workers at a specialized research institution in China. The results indicate that both the visual and verbal human likeness had a positive effect on experience economy factors (education, entertainment, esthetic, escape), and then these experiential factors had a significant effect on satisfaction. The results also provide some suggestions to consider when designing educational contents by virtual human.
The conversational agents such as AI speakers utilize voice conversation for human-computer interaction. Voice recognition errors often occur in conversational situations. Recognition errors in user utterance records can be categorized into two types. The first type is misrecognition errors, where the agent fails to recognize the user's speech entirely. The second type is misinterpretation errors, where the user's speech is recognized and services are provided, but the interpretation differs from the user's intention. Among these, misinterpretation errors require separate error detection as they are recorded as successful service interactions. In this study, various text separation methods were applied to detect misinterpretation. For each of these text separation methods, the similarity of consecutive speech pairs using word embedding and document embedding techniques, which convert words and documents into vectors. This approach goes beyond simple word-based similarity calculation to explore a new method for detecting misinterpretation errors. The research method involved utilizing real user utterance records to train and develop a detection model by applying patterns of misinterpretation error causes. The results revealed that the most significant analysis result was obtained through initial consonant extraction for detecting misinterpretation errors caused by the use of unregistered neologisms. Through comparison with other separation methods, different error types could be observed. This study has two main implications. First, for misinterpretation errors that are difficult to detect due to lack of recognition, the study proposed diverse text separation methods and found a novel method that improved performance remarkably. Second, if this is applied to conversational agents or voice recognition services requiring neologism detection, patterns of errors occurring from the voice recognition stage can be specified. The study proposed and verified that even if not categorized as errors, services can be provided according to user-desired results.
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