• Cross-Cultural Studies
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• v.53
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• pp.1-24
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• 2018

This following research is a study on the use of French and de-locality in the modern Korean poet Lee Sang's poetry (1910-1937). His hometown was Kyung Sung, Seoul. He mainly wrote his works in Korean, Chinese character, and Japanese, using the language of education and his native language at that time. So then, what was the spirit that he wanted to embody through use of French words? By using words like "ESQUISSE", "AMOUREUSE", Sang's French was not a one-time use of foreign words intended to amuse, but to him the words were as meticulously woven as his intentions. French words were harmonized with other non-poetic symbols such as "${\Box}$, ${\triangle}$, ${\nabla}$", and described as a type of typographical hieroglyphics. Instead of his mother-tongue language, French was applied as a surrealistic vocabulary that implemented the moral of infinite freedom and imagination, and expressed something new or extrasensory. Subsequently, the de-localized French (words) in his poetry can be seen as poetic words to implement a "new spirit", proposed by western avant-garde artists. Analysis of French in his poetry, showed a sense of yearning for the scientific civilization, calling for his sense of defeat and escape from the colonized inferior native land. Most of all, comparing his pursuit of western civilization and avant-garde art to French used in his poetry, is regarded as world-oriented poetry intended to implement the new tendency of the "the locomotive of modernity," transcending the territory of the native country.

• Industry Promotion Research
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• v.4 no.1
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• pp.67-78
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• 2019

This study is to study Jung's analytical psychology and to study counseling process and counseling techniques based on the counseling theory derived from it. Jung divides the counseling process into four stages based on analytical psychology. The first stage is confession, and the prototype of analysis therapy is confession. The first step in the treatment process is to share secrets and reveal suppressed emotions. The second stage is elucidation, a process that clarifies by shedding light on the contents induced by the transfer. The third stage is the level of education. Explanation makes my counselors intelligent, but leaves them still in an incompetent state. At this stage, treatment goes beyond insight to train as a responsible client. The fourth stage is transformation. In the transformation phase with inner counselors, not only the debaters, but also the therapist is in the "in-analysis." Jung's counseling technique uses six things: dream analysis, use of symbols, word link test, symptom analysis, case history and MBTI. In conclusion, analytical psychology counseling has enabled, first, a more in-depth approach and understanding of the human mind, especially the unconscious world. Second, analytical psychology counseling has enabled us to recognize that all humans are human communities with a common mental structure through the concept of unconsciousness and archetypes. Third, analytical psychology counseling has allowed you to look at the meaning and purpose of life from a new perspective. Therefore, Jung emphasized that he should not be seen as having a pathological problem with patients, but as an omnipotent human being who wants to realize its fullness on his own.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.21-29
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• 2018

In the era of the 4-th industrial revolution, the concept of smart factory is emerging. There are efforts to predict the occurrences of facility errors which have negative effects on the utilization and productivity by using data analysis. Data composed of the situation of a facility error and the type of the error, called the facility error log, is required for the prediction. However, in many manufacturing companies, the types of facility error are not precisely defined and categorized. The worker who operates the facilities writes the type of facility error in the form with unstructured text based on his or her empirical judgement. That makes it impossible to analyze data. Therefore, this paper proposes a framework for constructing a phrase network to support the identification and classification of facility error types by using facility error logs written by operators. Specifically, phrase indicating the types are extracted from text data by using dictionary which classifies terms by their usage. Then, a phrase network is constructed by calculating the similarity between the extracted phrase. The performance of the proposed method was evaluated by using real-world facility error logs. It is expected that the proposed method will contribute to the accurate identification of error types and to the prediction of facility errors.

• The Journal of Korean Academy of Sensory Integration
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• v.17 no.1
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• pp.1-8
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• 2019

Objective : This paper aimed to measure the relationship between the performance of Korean handwriting and visual fixation for children. Methods : Twenty-one typically developing children aged 7 to 9 years participated in the study. The children performed Korean handwriting task wearing Tobii Pro Glasses 2. The Korean handwriting task consisted of 10 words from elementary school textbooks. The handwriting skill was measured by the coefficient variation of the letter size and the fixation cound and duration. Correlation analysis was performed to investigate the relation between visual fixation and the coefficient variation of the letter size. Results : The results showed that the visual fixation per second was positively correlated with Korean handwriting vertical size coefficient variation, indicating that the more consistent the vertical size of the letter, the smaller the fixation count per second. Conclusion : The results suggested a relation between the performance of Korean handwriting and visual fixation in typically developing children. This study is the first attempt to measure eye movement during the Korean handwriting process, and suggests a future direction for research on students' development in writing Korean.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.565-570
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• 2020

This paper was intended to present a way to incorporate Korean content and products of Korean brands into functional coloring games that color them for the continued development of digital hallyu at this time of the world's derivation, as shown by the Korean Wave, a word that means more and more people like Korean culture worldwide. For the development of the Korean digital convergence functional game industry that can solve users' leisure time, we will compare and analyze the advanced image cuts provided by coloring games that have been commercialized and serviced, and seek ways to utilize the image of Hallyu contents that are not provided in existing coloring games. In the image cuts used in functional coloring games, we will find ways to utilize differentiated Hallyu content image cuts and study and present the direction of development of aesthetic elements of coloring games. Research on Korean Wave content, which has made use of our own aesthetic elements, should continue, and functional games using digital mobile device devices and game content elements utilizing Korean images in the Korean game industry will help spread Korean pop culture and digital Hallyu.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.658-667
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• 2021

Our study aimed to analyze and reinterpret, by an acoustic approach, the descriptions of the 18th century prosody and introduce the figurative pronunciation system, which is the International Phonetic Alphabet pioneer. Our methodology compares and analyzes grammars and documents on the transcription system and restructures the prosodic structure. It is certain that the 18th century grammarians widely accepted the prosody theories made by Arnauld & Lancelot of the seventeenth century. In particular, grammar scholars accepted the dichotomous classification of the accent structures as prosodic and oratorical accents. The prosodic accent has a relation to intonation, and the oratorical accent has as its key elements intonation and intensity. Regarding the temporal structure, the lengthening of the final syllable was observed systematically by grammarians of the 18th century. This time structure is similar to that of today. Therefore, we can conclude that the final elongation, an essential characteristic of the modern French accent, has already played an imbued role in 18th century prosody. Despite this, the 18th century grammarians did not assign it the status of accent, as it was a stereotype that matches accent with intonation.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.4
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• pp.169-178
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• 2022

Morphemes are most primitive units in a language that lose their original meaning when segmented into smaller parts. In Korean, a sentence is a sequence of eojeols (words) separated by spaces. Each eojeol comprises one or more morphemes. Korean morphological analysis (KMA) is to divide eojeols in a given Korean sentence into morpheme units. It also includes assigning appropriate part-of-speech(POS) tags to the resulting morphemes. KMA is one of the most important tasks in Korean natural language processing (NLP). Improving the performance of KMA is closely related to increasing performance of Korean NLP tasks. Recent research on KMA has begun to adopt the approach of machine translation (MT) models. MT is to convert a sequence (sentence) of units of one domain into a sequence (sentence) of units of another domain. Neural machine translation (NMT) stands for the approaches of MT that exploit neural network models. From a perspective of MT, KMA is to transform an input sequence of units belonging to the eojeol domain into a sequence of units in the morpheme domain. In this paper, we propose a deep learning model for KMA. The backbone of our model is based on the BERT-fused model which was shown to achieve high performance on NMT. The BERT-fused model utilizes Transformer, a representative model employed by NMT, and BERT which is a language representation model that has enabled a significant advance in NLP. The experimental results show that our model achieves 98.24 F1-Score.

• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.

• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.25-40
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• 2022

This study aimed to understand the increasing number of elder abuses in South Korea, where entry into the super-aged society is imminent, by implementing text mining analysis. Korean Academic journals were obtained from 2004, the establishment year of the senior care agency, to 2021. We performed natural language processing of the titles, keywords, and abstracts and divided them into three segments of periods to identify latent meanings in the data. The results illustrated that the first section included 81 papers, the second 64, and the third 104 respectively, averaging 13.8 annually, which increased its numbers from 2014 until the decrease below the annual average in 2020. Word frequency demonstrated that the common keywords of the entire segments were 'elder abuse,' 'elders,' 'influences,' 'factors,' 'recognition,' 'family,' 'society,' 'prevention plans,' 'experiences,' 'abused elders,' 'abuse prevention,' 'depression,' etc., in consecutive order. TF-IDF indicated that 'influences,' 'recognition,' 'society,' 'prevention plans,' 'abuse prevention,' 'experiences,' 'depression,' etc., were the common keywords of all divisions. Network text analysis displayed that the commonly represented keywords were 'elder abuse,' 'elders,' 'influences,' 'factors,' 'characteristics,' 'recognition,' 'family,' 'prevention plans,' 'society,' 'abuse prevention,' and 'experiences' in the entire sections. concor analysis presented that the first segment consisted of 5 groups, the second 7, and the third 6. We suggest future directions for elder abuse research based on the results.

• 한국노년학
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• v.41 no.4
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• pp.505-525
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• 2021

Purpose. The purpose of this study is to examine how the phrase "old person" are expressed and used in the online sphere. Based on the theoretical concept of stigma, this study investigates the images and attitudes in society toward the elderly, and the characteristics of hate speech aimed at the elderly. Method. This study conducted text mining based on social big data using anonymous conversations. Results. It was confirmed that the elderly images shared online were generally negative. The attitudes expressed toward them also tended to be negative due to the negative images that are propagated of the elderly. The hate speech relating to the elderly, in usages such as 'Teul-ttag' and 'Kon-dae', were mainly identified in comments that negatively evaluate the elderly, and these expressions demonstrate the depth of hate and discrimination towards the elderly who are considered burdensome by young people. Interestingly, the hateful expressions towards the elderly were found more with regard to issues related to politics and economics and not just any content about the elderly. Conclusions. This study discussed the ways and means to enhance inter-generational understanding and solidity.