• Safety and Health at Work
• /
• v.12 no.1
• /
• pp.74-95
• /
• 2021

Background: A job-exposure matrix (JEM) is an important surrogate indicator to evaluate past exposure levels. Although a Korean asbestos JEM has been constructed previously, this JEM includes only a few industrial and occupational groups. This study aimed to reconstruct the JEM by integrating the latest organized data to improve its utility. Methods: We used recent Korean standard industry and occupation codes and extracted 36 articles from a systematic literature review to initiate the reconstruction of the previous Korean asbestos JEM. The resulting data consisted of 141 combinations of industrial and occupational groups. Data from the Netherlands's JEM were also reviewed and categorized into 70 industrial and 117 occupational groups by matching with the Korean data. We also utilized Germany's data, which consisted of 10 industrial and 14 occupational groups. Results: The reconstructed Korean asbestos JEM had 141 combinations of industries and occupations. The time periods are from the 1980s to the 2000s in 10-year intervals. Most of the data were distributed between the 1990s and the 2000s. Occupations with high exposure to asbestos included knitting and weaving machine operators, automobile mechanics or assemblers, ship mechanics or assemblers, mineral ore and stone products processing mechanics, and metal casting machine operators or mold makers. Conclusions: The reconstructed Korean asbestos JEM has expanded the type and duration of the occupational groups of the previous JEM and can serve as an important reference tool for evaluating asbestos exposure and designing compensation and prevention policies in Korea.

• Journal of Digital Convergence
• /
• v.20 no.5
• /
• pp.383-392
• /
• 2022

Mokpo is a port city in the southwest of the Korean Peninsula. The popular song "Tears of Mokpo" is a song planted in the hearts of the entire nation. In this content, there are Yudalsan Mountain and Samhakdo Island in Mokpo, and people vaguely know this area, but it is a familiar place. In particular, Samhakdo Island is a representative brand that symbolizes Mokpo and is a place with regional identity. Mokpo City is creating many facilities infrastructure to develop Samhakdo Island. It is a stepping stone for converting the local economy into a tourism industry. However, the development of performance contents for the soft power of local culture is weak. In this respect, this study presented performance contents for Samhakdo Island, Mokpo's representative brand, for local tourism attractiveness. The research progress is a study on planning and researching performance contents using the location of Samhakdo Island in Mokpo. First, the background of the theory of performance content planning based on local placeability was examined. Next, Samhakdo Island in Mokpo proposed planning for performance contents.

• Journal of architectural history
• /
• v.32 no.6
• /
• pp.77-88
• /
• 2023

This research focused on the regional and temporal attributes of tuff architecture in Mokpo, spanning the Japanese colonial period and the post-liberation era. It aimed to uncover the distinct regional and temporal features of tuff architecture by integrating concepts from vernacular architecture and regionalism, framed through a lens of critical regionalism. The study traced the historical progression of tuff architecture in Mokpo within this context. A significant part of the research was an in-depth analysis of four constructions by Son Yang-dong, a renowned technician in post-liberation Mokpo, to closely examine the contemporary relevance and regional significance of his work. Tuff, as an indigenous material, distinctly articulates the local architectural character. In line with regional properties of tuff, the material has adeptly responded to contemporary construction needs. This has laid a foundation for the development of innovative building designs and techniques. Tuff architecture is particularly noted for its exhibition of raw material textures, offering a unique aesthetic that diverges from classical Western architectural styles. Importantly, through the examination of Son Yang-dong's contributions, the study highlights the role of Korean builders in an industry dominated by Japanese influences during the colonial period, underscoring a strong regional identity. As a representation of Mokpo, tuff architecture not only upholds and protects regional identity within the broader scope of Western modernization and Japanese impacts but also plays a role in its progressive enhancement.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.6
• /
• pp.15-20
• /
• 2023

This paper is a study on the development of an artificial intelligence (AI) system algorithm that recommends indirect advertising products suitable for character web dramas. The goal of this study is to increase viewers' content immersion and help them understand the story of the drama more deeply by recommending indirect advertising products that are suitable for writing lines for web dramas. In this study, we analyze dialogue and plot using the natural language processing model GPT, and develop two types of indirect advertising product recommendation systems, including prop type and background type, based on the analysis results. Through this, products that fit the story of the web drama are appropriately placed, allowing indirect advertisements to be exposed naturally, thereby increasing viewer immersion and enhancing the effectiveness of product promotion. There are limitations of artificial intelligence models, such as the difficulty in fully understanding hidden meanings or cultural nuances, and the difficulty in securing sufficient data for learning. However, this study will provide new insights into how AI can contribute to the production of creative works, and will be an important stepping stone to expand the possibilities of using natural language processing models in the creative industry.

• Computers and Concrete
• /
• v.34 no.2
• /
• pp.247-265
• /
• 2024

Measuring the fracture toughness of concrete in laboratory settings is challenging due to various factors, such as complex sample preparation procedures, the requirement for precise instruments, potential sample failure, and the brittleness of the samples. Therefore, there is an urgent need to develop innovative and more effective tools to overcome these limitations. Supervised learning methods offer promising solutions. This study introduces seven machine learning algorithms for predicting concrete's effective fracture toughness (K-eff). The models were trained using 560 datasets obtained from the central straight notched Brazilian disc (CSNBD) test. The concrete samples used in the experiments contained micro silica and powdered stone, which are commonly used additives in the construction industry. The study considered six input parameters that affect concrete's K-eff, including concrete type, sample diameter, sample thickness, crack length, force, and angle of initial crack. All the algorithms demonstrated high accuracy on both the training and testing datasets, with R² values ranging from 0.9456 to 0.9999 and root mean squared error (RMSE) values ranging from 0.000004 to 0.009287. After evaluating their performance, the gated recurrent unit (GRU) algorithm showed the highest predictive accuracy. The ranking of the applied models, from highest to lowest performance in predicting the K-eff of concrete, was as follows: GRU, LSTM, RNN, SFL, ELM, LSSVM, and GEP. In conclusion, it is recommended to use supervised learning models, specifically GRU, for precise estimation of concrete's K-eff. This approach allows engineers to save significant time and costs associated with the CSNBD test. This research contributes to the field by introducing a reliable tool for accurately predicting the K-eff of concrete, enabling efficient decision-making in various engineering applications.

• Advances in concrete construction
• /
• v.17 no.2
• /
• pp.93-110
• /
• 2024

The process of concrete production consumes an immense volume of water, with approximately one billion metric tons of freshwater being utilized for tasks such as aggregate washing, fresh concrete production, and concrete curing. The accessibility of clean water for the public is hindered by the limited availability of water resources, primarily due to the rapid expansion of industries such as tanneries, stone quarries, and concrete manufacturing. These industries not only consume substantial amounts of freshwater but also generate significant volumes of various types of waste. Therefore, the use of fresh water in concrete production should be minimized. Few studies have reviewed the production of concrete using wastewater to derive practical and applicable findings for the industry. Thus, this study thoroughly explores the physical and chemical effects of wastewater on concrete, examining aspects like durability, hardened properties, and rheological characteristics. It identifies key factors that can compromise concrete properties when exposed to wastewater. The scarcity of research on integrating wastewater into concrete production underscores the urgent necessity for innovative approaches and methodologies in this field. While the inclusion of wash water typically reduces the workability of fresh concrete, it often enhances its compressive strength. Notably, significant improvements have been observed when using tertiary processed wastewater, wash water, polyvinyl alcohol-based wash water (PVAW), and reclaimed water in the concrete mixing process. The application of tertiary treatment to wastewater resulted in a notable enhancement of compressive strength, showing increases of up to 7%. In contrast, wastewater treated through secondary methods experienced a decline in strength ranging from 9% to 18% over a period of six months. However, the use of reclaimed wastewater demonstrated an improvement in strength by 8% to 17%, depending on the concentration level ranging from 25% to 100%. In contrast, the utilization of secondary processed wastewater and industrial water has a minimal impact on the concrete's strength.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.1
• /
• pp.61-73
• /
• 2020

The purpose of this study is to investigate the relationship between educational attainment, history, tourism, psychological benefits, educational benefits, and hedonic benefits on visitors 'intention, and to provide Suwon Hwaseong' We propose a suggestion point. The implications of this study are as follows. First, the participants of Suwon Hwaseong Fortress are not only aware of the fact that the meaning of Mars is simply a stone build-up, but also a place to learn Korean history, experience various cultural experiences and attractions, Should be developed and made available to tourists. Second, the officials of Suwon Hwaseong Fortress should develop educational materials to understand the history of Mars as the representative history of Korean history. Furthermore, contents that show the superiority of Suwon Hwaseong in comparison with various world cultures It is necessary to provide policy support so that it can be developed and provided. Third, the officials of Suwon Hwaseong Fortress will have to worry about the development of culture prototype that can be excavated as a tourism factor when visitors visit and how to provide contents. In order to make sure that tourists do not inconvenience during sightseeing, It should be enough. Finally, the officials of Suwon Hwaseong should provide various entertainment factors around Hwaseong, and should try to create a desire to visit Hwaseong through a systematic PR method.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.5
• /
• pp.37-48
• /
• 2020

The film handles some happenings based on the story that a poor family sponges off a rich family. Junho Bong, a film director, has won the Palme d'Or in Cannes Film Festival and received a Academy Award for best picture, best original screen play, best international film and best director. The film has accomplished the cinematic achievements, but it seems that the implications the film aims to show might not be seriously appreciated to the public. The film has an unusual synopsis, which demonstrates that a deprived family is parasitic to a wealthy family. The storyline specifies how great the gap between the rich and the poor in Korea is. Accordingly, this article investigates some implications of the house, family, and society in the film .Consequently, three families (Kitaek's house, Park's luxury house, and maid's hidden basement) explicitly reveal distinctive social hierarchy. The common features found in two families are like this: the lower classes are willing to help one another but have no conscience and morality. The social implications in the film are closely associated with the class system based on the gap between the rich and the poor, the symbols of stone, and tragic ending. From the ending of the film, it is expected that the extreme social imbalance precedes the gap between the wealthy and the poor.

• Journal of Intelligence and Information Systems
• /
• v.21 no.3
• /
• pp.37-52
• /
• 2015

The recent global trends display expansion and growing solidity in both cooperative collaboration between industry, education, and research and R&D network systems. A greater support for the network and cooperative research sector would open greater possibilities for the evolution of new scholar and industrial fields and the development of new theories evoked from synergized educational research. Similarly, the national need for a strategy that can most efficiently and effectively support R&D network that are established through the government's R&D project research is on the rise. Despite the growing urgency, due to the habitual dependency on simple individual personal information data regarding R&D industry participants and generalized statistical data references, the policies concerning network system are disappointing and inadequate. Accordingly, analyses of the relationships involved for each subject who is participating in the R&D industry was conducted and on the foundation of an educational-industrial-research network system, possible changes within and of the network that may arise were predicted. To predict the R&D network transitions, Common Neighbor and Jaccard's Coefficient models were designated as the basic foundational models, upon which a new prediction model was proposed to address the limitations of the two aforementioned former models and to increase the accuracy of Link Prediction, with which a comparative analysis was made between the two models. Through the effective predictions regarding R&D network changes and transitions, such study result serves as a stepping-stone for an establishment of a prospective strategy that supports a desirable educational-industrial-research network and proposes a measure to promote the national policy to one that can effectively and efficiently sponsor integrated R&D industries. Though both weighted applications of Common Neighbor and Jaccard's Coefficient models provided positive outcomes, improved accuracy was comparatively more prevalent in the weighted Common Neighbor. An un-weighted Common Neighbor model predicted 650 out of 4,136 whereas a weighted Common Neighbor model predicted 50 more results at a total of 700 predictions. While the Jaccard's model demonstrated slight performance improvements in numeric terms, the differences were found to be insignificant.

• Journal of Venture Innovation
• /
• v.5 no.1
• /
• pp.107-127
• /
• 2022

Global challenges such as the corona pandemic, climate change and the war-on-tech ensure that the demand who the technologies of the future develops and monitors prominently for will be on the agenda. Development of, and applications in, agrifood, biotech, high-tech, medtech, quantum, AI and photonics are the basis of the future earning capacity of the Netherlands and contribute to solving societal challenges, close to home and worldwide. To be like the Netherlands and Europe a strategic position in the to obtain knowledge and innovation chain, and with it our autonomy in relation to from China and the United States insurance, clear choices are needed. Brainport Eindhoven: Building on Philips' knowledge base, there is create an innovative ecosystem where more than 7,000 companies in the High-tech Systems & Materials (HTSM) collaborate on new technologies, future earning potential and international value chains. Nearly 20,000 private R&D employees work in 5 regional high-end campuses and for companies such as ASML, NXP, DAF, Prodrive Technologies, Lightyear and many others. Brainport Eindhoven has a internationally leading position in the field of system engineering, semicon, micro and nanoelectronics, AI, integrated photonics and additive manufacturing. What is being developed in Brainport leads to the growth of the manufacturing industry far beyond the region thanks to chain cooperation between large companies and SMEs. South-Holland: The South Holland ecosystem includes companies as KPN, Shell, DSM and Janssen Pharmaceutical, large and innovative SMEs and leading educational and knowledge institutions that have more than Invest €3.3 billion in R&D. Bearing Cores are formed by the top campuses of Leiden and Delft, good for more than 40,000 innovative jobs, the port-industrial complex (logistics & energy), the manufacturing industry cluster on maritime and aerospace and the horticultural cluster in the Westland. South Holland trains thematically key technologies such as biotech, quantum technology and AI. Twente: The green, technological top region of Twente has a long tradition of collaboration in triple helix bandage. Technological innovations from Twente offer worldwide solutions for the large social issues. Work is in progress to key technologies such as AI, photonics, robotics and nanotechnology. New technology is applied in sectors such as medtech, the manufacturing industry, agriculture and circular value chains, such as textiles and construction. Being for Twente start-ups and SMEs of great importance to the jobs of tomorrow. Connect these companies technology from Twente with knowledge regions and OEMs, at home and abroad. Wageningen in FoodValley: Wageningen Campus is a global agri-food magnet for startups and corporates by the national accelerator StartLife and student incubator StartHub. FoodvalleyNL also connects with an ambitious 2030 programme, the versatile ecosystem regional, national and international - including through the WEF European food innovation hub. The campus offers guests and the 3,000 private R&D put in an interesting programming science, innovation and social dialogue around the challenges in agro production, food processing, biobased/circular, climate and biodiversity. The Netherlands succeeded in industrializing in logistics countries, but it is striving for sustainable growth by creating an innovative ecosystem through a regional industry-academic research model. In particular, the Brainport Cluster, centered on the high-tech industry, pursues regional innovation and is opening a new horizon for existing industry-academic models. Brainport is a state-of-the-art forward base that leads the innovation ecosystem of Dutch manufacturing. The history of ports in the Netherlands is transforming from a logistics-oriented port symbolized by Rotterdam into a "port of digital knowledge" centered on Brainport. On the basis of this, it can be seen that the industry-academic cluster model linking the central government's vision to create an innovative ecosystem and the specialized industry in the region serves as the biggest stepping stone. The Netherlands' innovation policy is expected to be more faithful to its role as Europe's "digital gateway" through regional development centered on the innovation cluster ecosystem and investment in job creation and new industries.