• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.368-375
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• 2020

In this study, the area of interest(AOI) of Soju ad poster was tracked for analysis the time to frist fixation, the average of fixation duration and count by the study indexes. As a result of the analysis, Visual attention was higher the face than the body shape of the ad model. This means "when we look at printed ads, we see picture elements first, not language one" but language elements can't be overlooked either. Also, the importance of the model role could be verified by measuring the visual attention on the Soju ad poster. Based on the results of this study, if further research on ad posters is carried out and scientific and quantitative interpretation methods are presented, it can be used as product marketing data that can be reflected in ad model selection and poster design.

• Lingua Humanitatis
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• v.5
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• pp.37-53
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• 2003

In this paper I have considered the subject related with 'the identity of Korean linguistics.' When I have pondered upon the subject I found that all the researches should not be regarded as a part of Korean linguistics only because they followed the scientific methodology. Moreover, it isn't right to accept any of the studies of Korean linguistics only because they relied on the tenet of western linguistic methodology. Although till 1960's various western linguistic methods were introduced to Korean scholars and applied to account for Korean language, abruptly, since 1970's, most theories have inclined to follow tendency of American linguistic trend. Pupils who want to study modem linguistic theories prefer to study at the universities of America rather than other countries in Europe. However, it is necessary to blow that the history of American linguistics isn't really as long as that of European nations and that the humanities has developed fur a long time since the Greek period. If we attempt to contemplate the procedure of the invention of Korean alphabetic system (Hun-Min-Jung-Um) it will be easy to find the fact that the theoretic approaches used to observe and analyze Korean language in 15th century are as good as the most up-to-date theories which have been introduced recently. Therefore, I tried to show that the historical awareness of linguistic theories deserves special emphasis in order to understand the reality of Korean linguistics correctly.

• Industrial Engineering and Management Systems
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• v.8 no.2
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• pp.121-130
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• 2009

Subjective evaluation has always been regarded as a branch of social science research. Hence, in scientific and especially engineering points of view, its development is always taken for granted despite the importance of its effects on the design and development decisions. In the past, at least two automotive seat survey questionnaires have been developed with high statistical validity and reliability. Nonetheless, both were not local while subjective perception very much depends on demographic background factors. It is felt that since vehicle seat comfort is an important aspect in a seat design, a local sense should be put into the survey that is used as the subjective tool. The proposed vehicle seat discomfort survey questionnaire was developed in dual languages; English and Malay. Malay language is the national language of Malaysia, where the survey was tested. Beside inputs from literatures, key informant interviews helped in establishing the appropriate terms used as survey items. Three experimental runs on two different seats by 22 paid subjects showed that the developed questionnaire is reliable and valid. Furthermore, criterion validity analysis on the survey and previously developed survey showed significant correlation at 0.01 significance level.

• Journal of English Language & Literature
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• v.57 no.1
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• pp.3-25
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• 2011

As extremes of climate such as heavy storms, rainfalls, and droughts tend to be routine in recent years, global climate change becomes a serious concern not only for natural scientists but also for scholars of the human sciences. Efforts to tackle the anthropogenic climate change certainly require not only scientific knowledge about it but also a new sociocultural paradigm for valorizing and respecting nature in its own right. The huge casualties and mass destruction caused by recent climate disasters also remind us that nature has been an important factor to bring about changes in human history-a fact largely ignored in traditional history. This again validates the ecocritical request to prioritize place, physical setting, or the relationship characters hold with the natural world in understanding literary works. In this context this paper aims to demonstrate the importance of the meteorological vision in creating as well as understanding literary and cultural texts by examining such works as Shelley's "The Cloud," Byron's "Darkness," Keats's "To Autumn," all produced during the period of dramatic climate change including "the year without summer." It also briefly discusses Roland Emmerich's 2004 movie The Day after Tomorrow as a way of understanding recent cultural responses to the crisis of global warming.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.84-96
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• 2021

Certainly, the success of the Unified Modeling Language (UML) as the de facto standard for modeling software systems does not imply closing the door on scientific exploration or experimentation with modeling in the field. Continuing studies in this area can produce theoretical results that strengthen UML as the leading modeling language. Recently, a new modeling technique has been proposed called thinging machine (TM) modeling. This paper utilizes TM to further understand UML, with two objectives: (a) Fine issues in UML are studied, including theoretical notions such as events, objects, actions, activities, etc. Specifically, TM can be used to solve problems related to internal cross-diagram integration. (b) TM applies a different method of conceptualization, including building a model on one-category ontology in contrast to the object-oriented paradigm. The long-term objective of this study is to explore the possibility of TM complementing certain aspects in the UML methodology to develop and design software systems. Accordingly, we alternate between UML and TM modeling. A sample UML model is redesigned in TM, and then UML diagrams are extracted from TM. The results clarify many notions in both models. Particularly, the TM behavioral specification seems to be applicable in UML.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.44-52
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• 2022

With recent scientific advances and growing interest in AI technologies, AI-based chatbots have been viewed as a practical learning aid for English language development. The purpose of this study is to examine preservice teachers' perceptions on the potential benefits of employing AI chatbots in English instruction and its pedagogical aspects. 28 preservice teachers majoring in English education were asked to use Kuki chatbots for a week with a guidance of a researcher and then report on their perceptions of AI chatbots in terms of perceived usefulness after use, applicability, and educational benefits and drawbacks. Emerging codes and themes were identified and evaluated using Thematic Analysis(TA) based on qualitative data from surveys and interviews. The findings show that six emerging themes were identified, encompassing perspectives on teacher, learner, communication, linguistic, affective, and assessment. The overall findings of this study revealed that AI-based chatbots can play a significant role as learning tools for stimulating interactive communication in a target language. Most preservice primary teachers acknowledge that AI chatbots can be useful as teaching and learning aids for both teachers and students. Furthermore, when applying various learner data to chatbot technology, such as learner assessment and diagnosis, a guided approach is necessary to perform a conversation appropriate for the learner's level and characteristics. Finally, as chatbots have a variety of benefits in terms of affective aspects, they may improve EFL learners' confidence in speaking English and learning motivation.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.107-112
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• 2022

Nowadays clusters are recognized as an important instrument for promoting industrial development, innovation, competitiveness and growth. An educational cluster is a set of interrelated vocational educational institutions of various levels that are united by industry with each other and are connected by partnership with industry enterprises. This article attempts to develop and describe cluster model of university students' multilingual training. The purpose of this study is to describe multilingual training of university students and their polycultural competencies formation and to define the process of multilingual training in form of a cluster. The authors consider clusters as an integral part of the educational campus within the concept framework of Shadrinsk State Pedagogical University. To determine the essence of the concept of a cluster model of university students' multilingual training, theoretical, empirical, observational, and diagnostic methods were implemented, such as a review of scientific literature, a compilation of best practices, observation, statistical methods, etc. The authors analyzed the programs of partner universities and organized international webinars and internships for bachelors and masters abroad and developed online courses "Foreign language for undergraduate students and masters". Experimental data obtained during the implementation of cluster training show the effectiveness of the formation of students' polycultural competencies.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.7-12
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• 2022

Safety and security are the topmost priority in every environment. With the aid of Artificial Intelligence (AI), many objects are becoming more intelligent, conscious, and curious of their surroundings. The recent scientific breakthroughs in autonomous vehicular designs and development; powered by AI, network of sensors and the rapid increase of Internet of Things (IoTs) could be utilized in maintaining safety and security in our environments. AI based on deep learning architectures and models, such as Deep Neural Networks (DNNs), is being applied worldwide in the automotive design fields like computer vision, natural language processing, sensor fusion, object recognition and autonomous driving projects. These features are well known for their identification, detective and tracking abilities. With the embedment of sensors, cameras, GPS, RADAR, LIDAR, and on-board computers in many of these autonomous vehicles being developed, these vehicles can properly map their positions and proximity to everything around them. In this paper, we explored in detail several ways in which these enormous features embedded in these autonomous vehicles, such as the network of sensors fusion, computer vision and natural image processing, natural language processing, and activity aware capabilities of these automobiles, could be tapped and utilized in safeguarding our lives and environment.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.280-283
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• 2020

논문 초록은 논문의 내용을 요약해 제시함으로써 독자들의 연구결과물에 대한 빠른 검색과 이해를 도모한다. 초록의 구성은 대부분 전형적인 경우가 많기 때문에, 초록의 구조를 자동 분석하여 색인해두면 유사구조 초록을 검색하거나 생성하는 등의 연구효율화에 기여할 수 있다. 허세훈 외 (2019)는 초록 자동구조화를 위한 말뭉치 SPA2019 및 기계학습기반의 자동구조화 방법을 제시하였다. 본 연구는, 기존 SPA2019 의 구조화 오류를 바로잡고, SPA2019 에서 추출한 1,346 개의 초록데이터와 2,385 개의 초록데이터를 추가한 SPA2020 말뭉치를 새로이 소개한다. 또한, 다양한 선학습 기반 트랜스포머들을 활용하여 초록 자동구조화를 수행하였으며, 그 결과 BERT-0.86%, RoBERTa-0.86%, ALBERT-0.84%, XLNet-0.86%, DistilBERT-0.85% 등의 자동구조화 성능을 보임을 확인하였다.

• Journal of English Language & Literature
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• v.58 no.1
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• pp.3-19
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• 2012

This paper argues that the hard-boiled detective fiction is not a commercialized imitation of the classical detective novels but a revisionist detective fiction. Producing a radically different type of detectives from the traditional ones, the hard-boiled detective fiction provides a new, opposing paradigm of criminality, class, and masculinity to the classical detective fiction. Classical detective novels, through the heroic portrayal of high-class detectives capturing and punishing lower-class criminals, reassure class hierarchy. Hard-boiled detective novels, however, representing the ruling classes as the root of social oppression and political corruption, define the power elite as criminals. Whereas the classical detective fiction displays aristocratic masculinity, the hard-boiled detective fiction embodies working-class masculinity. The classical detective is generally represented as a genteel dilettante solving the mysteries of crimes, in his leisure time, through logical reasoning and scientific techniques. The hard-boiled detective, however, solves crimes by using violence and earns his living from catching criminals. The hard-boiled detective also maintains an absolute independence by keeping a distance from all forms of authority and connection. The representation of hard-boiled detective as a tough, rebellious, independent guy can be interpreted as a reaction to the advent of corporate capitalism and the rise of labor control in the 1920s.