Journal of Korea Entertainment Industry Association
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v.14
no.7
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pp.287-298
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2020
The purpose of this study is to analyze the narrative structure and types of films that has attracted more than 10 million viewers ('10 million films') among films released in Korea, and deal with the implications of the current Korean film industry. To this end, this study investigated the relationship between films and their narrative as a product of the film industry. To approach this, We dealt with the features of structuralist analysis and archetype or mythological narrative analysis. For a detailed analysis, a total of 27 films of "10 million films" were categorized using Northrop Frye's original narrative analysis method. As a result of the study, 13 comedy structures, 7 romance structures, 4 tragic structures, and 3 irony and satire structures. It was confirmed that the "comedy" and "romance" structures had a high percentage of all 10 million films, and occupied the top ranks in the box office rankings. In conclusion, this study confirmed the narrative rules and customs of films hitting Korean box offices, and through this, it was possible to examine a rough topography of the film consumption of the public in the Korean film industry. This can be said to provide a clue as to how the narrative of the film should be constructed when producing a film from an industrial perspective.
Journal of The Korean Association of Information Education
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v.26
no.4
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pp.249-263
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2022
The purpose of this study is to investigate the effects of assessment by adopting adaptive learning in higher education that are rarely examined in previous studies. In particular, this study applied research questions: 1) How does technical perception, perceived contents and features, and perceived integration of the AI-based adaptive system with lecture affect overall satisfaction, overall effectiveness, overall usefulness, overall motivation for the study, and intention to use it with other classes? 2) How do overall satisfaction, overall effectiveness, overall usefulness, motivation for the class, and intention to use affect loyalty on the AI-based adaptive system? This study conducted online surveys after the completion of the classes adopted AI-based adaptive learning system, ALEKS. This study applied ANOVA, regression, and factor analyses. The results of this study found that perceived integration of the AI-based adaptive learning system with the lectures on overall satisfaction, effectiveness, motivation, and intention to use for other classes showed significant with higher effect size. The results of this study provides implication that the AI-based learning system help improve learning outcomes in graduate level studies. The results provide policy and managerial implications that the AI-based adaptive learning system should improve better customer relationships in higher education.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2022.10a
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pp.562-565
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2022
Recently, the increasing number of overloaded vehicles on the road poses a risk to traffic safety, such as falling objects, road damage, and chain collisions due to the abnormal weight distribution, and can cause great damage once an accident occurs. However, this irregular weight distribution is not possible to be recognized with the current weight measurement system for vehicles on roads. To address this limitation, we propose to build an object detection-based AI model to identify overloaded vehicles that cause such social problems. In addition, we present a simple yet effective method to construct an object detection model for the large-scale vehicle images. In particular, we utilize the large-scale of vehicle image sets provided by open AI-Hub, which include the overloaded vehicles from the CCTV, black box, and hand-held camera point of view. We inspected the specific features of sizes of vehicles and types of image sources, and pre-processed these images to train a deep learning-based object detection model. Finally, we demonstrated that the detection performance of the overloaded vehicle was improved by about 23% compared to the one using raw data. From the result, we believe that public big data can be utilized more efficiently and applied to the development of an object detection-based overloaded vehicle detection model.
The objective of this study was to familiarize people with the native local food of Chungnam Province by developing its regional food as a culture resource. Native Local Food Search and luxury itemization based on regionally-characterized stories enhances self-perception of the national culture, promotes appropriate local images to the public, and contributes to the local economy by increasing regional tourism. Therefore, this study researched local stories of cultural significance, that is, those connected to the history and originality of Chungnam Province, and developed contents related to Chungnam native local food. Features of the native local food were introduced by a story telling method in order to appeal to the five senses. The story was composed for easy understanding of the value of food, and the brand image of Chungnam was developed based on representative historical stories of the region. In this study, the following were developed as representative images of Chungnam: 'Royal meal table of King Moo-ryung' in Kongju was presented by recomposing the story of King Moo-ryung, a famouns king of the Baekje era; 'Mong-yoo-do-won's rice meal table' was introduced via Mongyoo-do-won's painting by Kyeon An, a famous painter of the Chosun era who was born in Seosan. The 'Royal meal table of King Moo-ryung' was set with food made from local farm products, demonstrating the flavor and elegance of the Baekje era. 'Mong-yoo-do-won's rice meal table' resembled Kyeon An's Mong-yoo-do-won-do, which has a background featuring early spring. The rice table was designed to remind people of a flamboyant painting like a scattered peach blossom leaf in the early spring. To verify the health effectiveness of each rice table, the function of each ingredient was investigated through 'Sik-ryo-chan-yo:a dietary treatment', which was published by Soon-Ui Cheon during the Chosan era. According to the results, most of ingredients are certainly beneficial to health, as was recognized in the early Choson era.
The purpose of this study is to develop a statistical program using data and artificial intelligence prediction models and apply it to one class in the sixth grade of elementary school to see if it is effective in improving students' statistical literacy. Based on the analysis of problems in today's elementary school statistical education, a total of 15 sessions of the program was developed to encourage elementary students to experience the entire process of statistical problem solving and to make correct predictions by incorporating data, the core in the era of the Fourth Industrial Revolution into AI education. The biggest features of this program are the recognition of the importance of data, which are the key elements of artificial intelligence education, and the collection and analysis activities that take into account context using real-life data provided by public data platforms. In addition, since it consists of activities to predict the future based on data by using engineering tools such as entry and easy statistics, and creating an artificial intelligence prediction model, it is composed of a program focused on the ability to develop communication skills, information processing capabilities, and critical thinking skills. As a result of applying this program, not only did the program positively affect the statistical literacy of elementary school students, but we also observed students' interest, critical inquiry, and mathematical communication in the entire process of statistical problem solving.
Zhe Liu;Chao Jin;Carol C. Wu;Ting Liang;Huifang Zhao;Yan Wang;Zekun Wang;Fen Li;Jie Zhou;Shubo Cai;Lingxia Zeng;Jian Yang
Korean Journal of Radiology
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v.21
no.6
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pp.736-745
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2020
Objective: To identify the initial chest computed tomography (CT) findings and clinical characteristics associated with the course of coronavirus disease 2019 (COVID-19) pneumonia. Materials and Methods: Baseline CT scans and clinical and laboratory data of 72 patients admitted with COVID-19 pneumonia (39 men, 46.2 ± 15.9 years) were retrospectively analyzed. Baseline CT findings including lobar distribution, presence of ground glass opacities, consolidation, linear opacities, and lung severity score were evaluated. The outcome event was recovery with hospital discharge. The time from symptom onset to discharge or the end of follow-up (for those remained hospitalized) was recorded. Data were censored in events such as death or discharge without recovery. Multivariable Cox proportional hazard regression was used to explore the association between initial CT, clinical or laboratory findings, and discharge with recovery, whereby hazard ratio (HR) values < 1 indicated a lower rate of discharge at four weeks and longer time until discharge. Results: Thirty-two patients recovered and were discharged during the study period with a median length of admission of 16 days (range, 9 to 25 days), while the rest remained hospitalized at the end of this study (median, 17.5 days; range, 4 to 27 days). None died during the study period. After controlling for age, onset time, lesion characteristics, number of lung lobes affected, and bilateral involvement, the lung severity score on baseline CT (> 4 vs. ≤ 4 [reference]: adjusted HR = 0.41 [95% confidence interval, CI = 0.18-0.92], p = 0.031) and initial lymphocyte count (reduced vs. normal or elevated [reference]: adjusted HR = 0.14 [95% CI = 0.03-0.60], p = 0.008) were two significant independent factors that influenced recovery and discharge. Conclusion: Lung severity score > 4 and reduced lymphocyte count at initial evaluation were independently associated with a significantly lower rate of recovery and discharge and extended hospitalization in patients admitted for COVID-19 pneumonia.
As global challenges, particularly climate change, become more pressing, there is a growing global awareness of Environmental, Social, and Governance (ESG) management. Given the crucial role played by the logistics industry in the complex network of the global supply chain, various societal stakeholders are emphasizing the necessity for logistics entities to practice ESG management. Despite the comprehensive ESG guidelines established by Korea for all enterprises, a notable limitation arises from its inadequate consideration of the distinctive features inherent to logistics enterprises, especially those of a smaller and medium scale. Accordingly, this study conducts a thorough examination of existing ESG guidelines, sustainable management approaches in large-scale logistics enterprises, and prior research to identify potential ESG management diagnostic criteria relevant to small and medium-sized logistics enterprises, including aspects such as Public(P), Environmental(E), Social(S), and Governance(G). To streamline the diagnostic criteria, taking into account the unique characteristics of small and medium-sized logistics enterprises, this study conducts a survey involving 60 logistics company personnel and experts from academic and research domains. The collected data undergoes Principal Component Analysis (PCA), revealing that the four dimensions of information disclosure can be consolidated into a single dimension. Additionally, environmental criteria reduce from 16 to 3 items, societal considerations decrease from 22 to 7 items, and governance structures distill from 20 to 5 items. This empirical endeavor is deemed significant in presenting tailored ESG management diagnostic criteria aligned with the specificities of small and medium-sized logistics enterprises. The findings of this study are expected to serve as a foundational resource for the development of guidelines by relevant entities, promoting the wider adoption of ESG management practices in the sphere of small and medium-sized logistics enterprises in the near future. population coming from areas other than Gwangyang, where Gwangyang Port is located.
Yujin Kang;Junhyeong Lee;Taewoo Lee;Duckgil Kim;Jaeseung Seo;Soojun Kim;Hung Soo Kim
Journal of Wetlands Research
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v.26
no.3
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pp.227-235
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2024
Inland wetlands provide important ecosystem services or functions, including biodiversity conservation, water purification, flood control, and carbon sequestration. However, many inland wetlands are being degraded by urbanization and industrialization, raising the need for conservation and restoration. This study proposes the adoption of No Net Loss(NLL) of Wetland for wetland conservation and restoration in Korea by the review of the literatures. To this end,, we analyzed the wetland conservation and management systems of the United States, Canada, Germany, Japan, and Australia, and identified institutional features and success factors of each country, and sought ways to adapt them to domestic conditions of Korea. The case of the United States highlights the importance of legal frameworks and public-private collaboration, Canada demonstrates systematic management approaches, Germany maintains a balance between development and conservation, Japan underscores the need for cooperative conservation efforts, and Australia emphasizes the efficiency of offset markets. The introduction and operation of these schemes are expected to contribute to climate change mitigation, biodiversity conservation, and water quality improvement, but ongoing research and policy efforts are needed to ensure that the schemes are well established.
Lee, Jae Sook;Seo, Hyun Joo;Woo, Jeong Ju;Jang, Sung Hee;Lee, Jin A;Song, Mi Ok;Park, Hwa Young;Ahn, Young Min
Pediatric Infection and Vaccine
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v.14
no.1
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pp.75-82
/
2007
Purpose : Human metapneumovirus (hMPV) is a newly identified paramyxovirus that causes a variety of clinical syndromes in children, including upper and lower respiratory tract illnesses. hMPV is considered an ubiquitous virus causing respiratory tract diseases among children especially during late winter and spring seasons. We report clinical features of human metapneumovirus infection in Korean children. Methods : hMPV infection was diagnosed by reverse transcriptase-polymerase chain reaction (RT-PCR) in respiratory specimens obtained from patients with acute respiratory tract infections from October, 2004 to May, 2005. Medical records of all hMPV-positive patients were reviewed, retrospectively. Results : A total of 15 hMPV were identified from 443 nasopharyngeal aspirations by RT-PCR (3.4%). The range of age of the patients with hMPV infection was from 1 month to 62 months (median age, 31.5 months), with similar numbers of females (8/15) and males (7/15). Among hMPV-positive children, 53.3% (8/15) were aged less than 24 months. Fever, cough, rhinorrhea, vomiting, diarrhea, tachypnea, and chest wall retractions were common findings. Most common clinical diagnosis was pneumonia (60%). Two of the 15 hMPV-positive patients were also positive for adenovirus. Fever persisted from 0 to 10 days (mean 4.9 days). The duration of hospitalization ranged from 4 to 7 days (mean 5.6 days). Conclusion : hMPV accounted for a small but significant proportion of respiratory tract infection in infants and children. Future development and application of diagnostic tools will determine the burden of disease caused by this newly discovered pathogen.
CREAHS II carried out an intensive hydrographic survey covering almost entire East Sea in 1999. Hydrographic data from total 203 stations were released to public on the internee. This paper summarized the results of water mass analysis by OHP (Optimum Multiparameter) method that utilizes temperature, salinity, dissolved oxygen, pH, alkalinity, silicate, nitrate, phosphate and location data as an input data-matrix. A total of eight source water types are identified in the East Sea: four in surface waters(North Korea Surface Water, Tatar Surface Cold Water, East Korean Coastal Water, Modified Tsushima Surface Water), two intermediate water types (Tsushima Middle Water, Liman Cold Water), two deep water types (East Sea Intermediate Water, East Sea Proper Water). Of these NKSW, MTSW and TSCW are the newly reported as the source water type. Distribution of each water types reveals several few interesting hydrographic features. A few noteworthy are summarized as follows: The Tsushima Warm Current enter the East Sea as three branches; East Korea Coastal Water propagates north along the coast around $38^{\circ}N$ then turns to northeastward to $42^{\circ}N$ and moves eastward. Cold waters of northern origin move southward along the coast at the subsurface, which existence the existence of a circulation cell at the intermediate depth of the East Sea. The estimated volume of each water types inferred from the OMP results show that the deep waters (ESIW + ESPW) fill up ca. 90% of the East Sea basins. Consequently the formation and circulation of deep waters are the key factors controlling environmental condition of the East Sea.
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