This study conducts an detailed examination of James S. Gale’s translation methodology applied to 104 titles from Yi Kyoo-bo (1168~1241)’s Dongguk Yi Sangguk Jip (Collection of Works by Yi Kyoo-bo, the Minister of the Eastern Country, 東國李相國集). Despite the non-realization of Gale’s publication aspirations, this marks early and pivotal efforts to acquaint English-speaking readers with Yi Kyoo-bo’s prose and poetry, thus promoting the global recognition of Korean literary heritage. A comparative analysis of the original Chinese titles against their English renditions allows this paper to categorize the translations into five distinct methodologies: omission, condensation, literal translation, creative translation, and expansion. The findings reveal Gale’s inclination towards crafting succinct titles, frequently at the expense of excluding details that might elucidate the original texts’ contexts. This approach remains consistent across his translations of works by another eminent Korean author, Choi Chi-won. Contrarily, Kevin O’Rourke, a contemporary translator of Yi Kyoo-bo’s compositions, adopts a notably divergent strategy, favoring titles that adhere more closely to literal translation. Gale’s translation philosophy not only sought to transmit the essential messages encapsulated within the original texts but also endeavored to situate them within the ambit of Western literary conventions. This aspect underscores Gale’s instrumental role in the transcultural dissemination of Korean literature.

The present study aimed to analyze the developmental trajectories of English achievement and exposure time through private education, utilizing univariate and multivariate latent growth curve analysis. This study used a subset of the Gyeonggi Education Panel Study data from 2012 to 2017. The results indicated consistent disparities in the growth of English achievement, depending on the student’s proficiency levels at the starting point. In particular, the early exposure to private tutoring was significantly and closely related to the initial status and the growth trajectory of English achievement. When the sample was classified by urbanicity, the findings suggested that the gap in English achievement was likely to increase over time across the two regions, with a stronger correlation with private tutoring found in urban areas. These results underscore the need for educational intervention for students in less advantageous conditions, and they provide valuable pedagogical implications for teaching English in the Korean EFL context.

Recently, ESG management has become a global trend, receiving increasing attention from stakeholders such as consumers, investors, and governments, as regulations related to ESG disclosure and supply chain due diligence have been strengthened since the United Nations Principles of Responsible Investment (UN PRI) was announced in 2006. ESG is an acronym for the environment (E), social (S), and governance (G) and is accepted as a key factor for the continuous survival and growth of a company. As a result, there are over 600 ESG management evaluation indicators operated domestically and internationally, and numerous global initiatives have emerged. Korea’s Ministry of Trade, Industry and Energy also announced “K-ESG Guidelines (December 2011)” and “K-ESG Guidelines for Supply Chain Response (December 22)” to help SMEs introduce ESG management and respond to supply chain due diligence. However, small-scale manufacturing companies with poor financial, human resources, and technological capabilities face significant challenges in introducing ESG management. Accordingly, this study aims to examine the current status of ESG management adoption in small-scale manufacturing companies with less than 150 people in Korea and propose activation plan ESG management based on the diagnostic requirements of the “Supply Chain Response K-ESG Guidelines.”

Lee, En Hye, & Lee, Chee Hye. (2024). “Phonological Aspects of American and British Englishes Embedded in Korean English: A Perspective of Linguistic Realities”. The Sociolinguistic Journal of Korea, 32(1), 43-74. This paper explores the rationale behind the shift from Quirk’s deficit linguistics to Kachru’s liberation linguistics in English widely used in Korea. Despite the Korean government’s efforts to enhance communicative competence aligned with Inner Circle-oriented American Standard English, the study questions the perception of Korean English being solely dominated by American English from sociolinguistic perspectives. To delve into both psychological and empirical perspectives on English in Korea, a questionnaire survey involving 100 Korean college students is employed. The focus is on assessing the extent of influence from both American English and British English on Korean English. Additionally, the study examines how linguistic realities, disregarding sociolinguistic or functional aspects, contribute to the current state of Korean English. The analysis of survey data reveals that Korean linguistics, especially phonology, plays a role in shaping the dynamics of Korean English, supporting Kachru’s liberation linguistics. This contributes to the shift from the stage of aspiring to be more native-like American English to the stage of World Englishes, establishing itself as a variant of English in its own right.

This study investigates the social construction and continual (re)production of the cultural Other through educational materials, focusing on Korean middle school English textbooks. Twelve middle school English textbooks from four publishers were collected and analyzed, with a focus on how they (mis)represent cultures and practices of minority groups. Utilizing critical content analysis to examine both visual and written texts in the textbooks, this research uncovers recurring patterns of exoticizing and commodifying Hawai’ian culture, homogenizing African culture, and romanticizing Indigenous peoples. The findings contribute significantly to our understanding of how cultural representations in English as a Foreign Language (EFL) textbooks shape perceptions and influence societal dynamics. They also illuminate how these representations reflect and perpetuate Eurocentric colonialist discourse. Moreover, the results underscore the importance of equipping educators, especially English teachers, with critical literacy. This empowers them to identify hidden power relations that reinforce stereotypes, and actively engage in the construction of a more inclusive and equitable society.

Lee, Hye-Kyung. (2023). “The Speech Act of Explanation in Closure Signs”. The Sociolinguistic Journal of Korea, 31(4), 1-32. This study investigates the speech act of explanation within a corpus of approximately 243 closure signs posted during the Covid-19 pandemic in Korea. Using a classification system derived from Bella and Ogiermann (2022), the explanations are categorized into four distinct groups. Category 1 explanations are further divided into three subcategories: signs revealing the relationships between government decisions and closures, those with expressions of support for official mandates, and those presenting dissent with closure directives. A comparative analysis between the third sub-category and pandemic-related activities (i.e., My Body My Choice Activities) is also conducted, highlighting similarities and differences. Category 2 centers on safety concerns, emphasizing public health and safety as the primary justification for closures. Notably, this category showcases an elevated sense of agency among sign authors. Explanations in Category 3 combine Categories 1 and 2. Category 4 explanations, which attribute closure to Covid-19, necessitate an investigation of terms referring to Covid-19. It is observed that the naming closely adheres to normative and public guidelines, reflecting a collective awareness of the crisis and a commitment to cooperation. The findings contribute valuable insights into the linguistic and cultural characteristics of explanations within Korean business closure signs, indicating phenomena specific to Korean communities.

This study (1) explored spatio-temporal population distribution patterns in Jeonju by using emerging hot spot analysis and (2) identified the influential factors to determine the spatio-temporal patterns by using multinomial logit model. The major findings are as follows. First, the results of emerging hot spot analysis indicated that the 100*100m grid in the urban area of Jeonju was found to have a category of hot spots, whereas most of the cold spot series was concentrated in the outskirts of the city. Also, new towns such as Jeonju Eco City, Jeonbuk Innovation City, and Hyocheon District were persistent or intensifying hot spots, Third, the results of multinomial logit model revealed that the factors influencing deterrmining the spatio-temporal patterns were accessibility to schools, hospitals, parks, and walfare services. This study offered a deeper understanding of urbanization and regional changes in Jeonju, and important information for urban planning.

Companies are paying attention to project governance to realize their goal strategies, project success, and project value in a rapid and complex environment due to the development of information technology. This study aims to explore project governance and factors from literature review and practice guides related to project governance and empirically analyze the impact of project governance factors on IT project objective performance. The survey was conducted on project managers, project team members, and project management members with experience in carrying out business IT projects within two years at companies in various industries in Korea. The main conclusion is as follows. Among the project governance factors, disclosure and reporting that uses and reports using appropriate and reliable information about projects related to decision-making activities positively impact the achievement of IT project objectives: business success and stakeholder satisfaction. Among the project governance factors, project sponsorship, a role that effectively connects management and projects, and a project management framework that provides tools, procedures, resources, and techniques for projects positively impact IT project objective performance. This study is of academic and practical significance in that it identifies the definition and factors of project governance through companies in various industries in Korea and the positive impact of project governance factors on IT project objective performance.

This empirical analysis investigates the impact of consultant competency and project manager (PM) competency on business performance. Two hundred and twenty four chief executive officers and executive members at small and medium sized firms in the manufacturing sector were surveyed, yielding several outcomes. First, consultant competency positively affects consulting performance. Second, consultant competency positively affects business performance. Third, PM competency does not have a significant influence on consulting performance. Fourth, PM competency does not have a significant impact on business performance. Fifth, consulting performance does not have a significant effect on business performance. Finally, regarding the mediation effect of consulting performance on the influence of consultant competency and PM competency on business performance, consulting performance had no significant impact. Thus, expertise and insight are crucial for a consulting business to enable the growth of professional consultants. Furthermore, this study is expected to enhance the consulting performance of small and medium sized manufacturing firms by providing useful data to consultants and project managers when carrying out consulting projects.

The air transport industry is experiencing unprecedented fluctuations in aviation demand through the Covid-19 pandemic, and is more focused than ever on maintaining and generating business profitability. During the pandemic, demand for air cargo has soared, and the conversion business from passenger aircrafts to freighters(P2F) is drawing attention as a new business in the aviation maintenance industry. This study derives important factors to be considered in order to successfully carry out the P2F project through a wide range of cases and related literature, and analyzes the relative importance of each factor using the analytic hierarchy process. Through a survey of 33 aviation maintenance experts with more than 20 years of field experience, the importance of main factors and their sub factors was determined and implications were drawn. As a primary result, in order to succeed in the P2F project, the main factors were identified in the order of skill, finance, and location. The most important sub factors for each main factors were identified in order of securing airframe modification skill, securing infrastructure construction cost, and creating P2F business complex and district. The quantified success factors suggested the critical direction for the successful development of Korea's P2F business, and presented viable and specific business strategies and implementation plans for each factors.

The metal bush assembling process is a process of inserting and compressing a metal bush that serves to reduce the occurrence of noise and stable compression in the rotating section. In the metal bush assembly process, the head diameter defect and placement defect of the metal bush occur due to metal bush omission, non-pressing, and poor press-fitting. Among these causes of defects, it is intended to prevent defects due to omission of the metal bush by using signals from sensors attached to the facility. In particular, a metal bush omission is predicted through various data mining techniques using left load cell value, right load cell value, current, and voltage as independent variables. In the case of metal bush omission defect, it is difficult to get defect data, resulting in data imbalance. Data imbalance refers to a case where there is a large difference in the number of data belonging to each class, which can be a problem when performing classification prediction. In order to solve the problem caused by data imbalance, oversampling and composite sampling techniques were applied in this study. In addition, simulated annealing was applied for optimization of parameters related to sampling and hyper-parameters of data mining techniques used for bush omission prediction. In this study, the metal bush omission was predicted using the actual data of M manufacturing company, and the classification performance was examined. All applied techniques showed excellent results, and in particular, the proposed methods, the method of mixing Random Forest and SA, and the method of mixing MLP and SA, showed better results.

Recently, as ESG management has become an important issue, major companies in the automotive parts manufacturing industry are conducting ESG evaluations of their suppliers for the purpose of supply chain management. The results of these evaluations are being incorporated into contractual agreements. However, many small and medium-sized enterprises(SMEs) are lacking in their capacity and resources to effectively respond to ESG evaluations. Furthermore, existing ESG management guidelines do not provide an industry-specific guidance, making it necessary to establish industry-specific guidelines that SMEs can refer to. Therefore, in this study, the evaluation Indicators of ESG supply chain assessments are surveyed, which is conducted by domestic major automotive parts companies and global automobile manufacturers. Then 56 supply chain ESG evaluation Indicators are derived. Also, ESG management indicators for SMEs is analyzed through the Importance-Performance Analysis(IPA), based on an interview of expert groups. Therefore, this study could propose industry-specific ESG guidelines, based on the results of the derived indicators, which reflects the need for SMEs to practice ESG management within certain boundaries.

Recently, there are some outdoor floor advertising lighting devices as one of the active marketing methods. However, for outdoor use, there are many restrictions due to the Outdoor Advertisement Act, according to requiring high-output heat generation, waterproofing, and AC power, etc. The purpose of this study is to develop a Duo Light product optimized for indoor use through publicity and information guidance in normal times and automatic evacuation route guidance display in case of disaster, in conjunction with disaster safety. To that end, patent search and patent association analyses were conducted, and a comparative analysis with commercial products was conducted as a case study. In addition, prototypes were designed and produced through the review of operation principles, where field environment surveys and self-tests were conducted. Also, technology roadmaps were presented by preparing plans for expandability and advancement of products. For the analysis of technology commercialization, the feasibility of technology commercialization was examined through the analysis of Jolly’s Model and Lean Canvas Model. The results of this study will be able to contribute to minimize human damage through the effective response to disasters, which can increase the effect of indoor advertising by using the proposed indoor floor advertising lighting device in advertising and disaster situations.

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people’s life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing ‘heavy snow’ in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

예이츠는 아일랜드의 음유시적 전통과 당대 유럽의 지식사회에서 강한 영향력을 발휘한 부동의 미학을 연결지어 본인만의 독특한 비극론을 전개한다. 유럽 상징주의 드라마가 자신의 연극론 형성에 갖는 잠재력을 예리하게 간파한 예이츠는 특히 벨기에 극작가 모리스 마테를링크가 주창한 “정적 드라마”에 영향을 받는다. 동시에 그리스비극을 아폴로와 디오니소스적 욕망 사이에 존재하는 긴장의 산물로 바라보는 니체의 비극 철학에 매료된다. 본 연구는 예이츠의 비극 이론을 니체철학과 마테를링크의 극이론의 창의적 수용이라는 관점에서 바라보고 분석하며 그 장단점을 논의한다. 특히 ‘비극적 환희’라는 극적 효과가 극형식과 연계되는 지점에서 발생하는 문제들에 주시한다. 예이츠는 그가 가졌던 사실주의에 대한 강한 반감 때문에 마테를링크의 일상성과 니체의 아폴로적인 욕망에서 보이는 형식의 중요성을 간과하게 된다.

본 연구는 아시아의 국제관계가 변화하는 맥락에서 "아시아 나토"의 실 행 가능성과 잠재적 영향을 검토한다. 아시아 버전 나토의 가능성을 분 석하기 위해 세 가지 목표를 추구한다: (1) 나토의 성격을 조사하고 아시 아에서의 잠재적 적용을 검토한다, (2) 세력균형이론과 위협균형이론의 관점에서 나토의 과거 실패를 검토한다, (3) 정치와 군사적 도전을 고려 한 아시아 나토의 실행 가능성을 평가한다. 이 연구는 미국과 일본을 중 심으로 아시아 나토에 대한 관심이 증가한 지정학적 변화를 탐구한다. 현재 미중 균형과 위협 사이의 균형은 양자 및 삼자 동맹을 설정하는 데 이르렀지만 아시아 나토의 가능성은 여전히 쉽지 않다. 그러나 중국이 지역 패권 추구로 인한 압도적인 외부 위협을 초래하면, 아세안 국가들 은 집단 안보 체제에 가입할 수 있다. 본 논문은 특히 이러한 상황에서 한국이 직면할 수 있는 문제점에 대해서도 지적한다.

The large process plant is currently implementing predictive maintenance technology to transition from the traditional Time-Based Maintenance (TBM) approach to the Condition-Based Maintenance (CBM) approach in order to improve equipment maintenance and productivity. The traditional techniques for predictive maintenance involved managing upper/lower thresholds (Set-Point) of equipment signals or identifying anomalies through control charts. Recently, with the development of techniques for big analysis, machine learning-based AAKR (Auto-Associative Kernel Regression) and deep learning-based VAE (Variation Auto-Encoder) techniques are being actively applied for predictive maintenance. However, this predictive maintenance techniques is only effective during steady-state operation of plant equipment, and it is difficult to apply them during start-up and shutdown periods when rises or falls. In addition, unlike processes such as nuclear and thermal power plants, which operate for hundreds of days after a single start-up, because the pumped power plant involves repeated start-ups and shutdowns 4-5 times a day, it is needed the prediction and alarm algorithm suitable for its characteristics. In this study, we aim to propose an approach to apply the optimal predictive alarm algorithm that is suitable for the characteristics of Pumped Storage Power Plant(PSPP) facilities to the system by analyzing the predictive maintenance techniques used in existing nuclear and coal power plants.