• International journal of advanced smart convergence
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• v.12 no.4
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• pp.321-327
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• 2023

The current rapid development of artificial intelligence technology has involved all aspects of the production field. The development of various algorithms and programs has pushed artificial intelligence to a new peak. Due to its complexity and diversity in the field of architectural design, the positive impact of artificial intelligence technology on architectural design is discussed from the perspective of conceptual design. For museums, which are one of the increasingly popular public facilities, the introduction of artificial intelligence technology has provided certain help in assisting the conceptual design of the museum. This article analyzes the theoretical and practical support of artificial intelligence technology in improving conceptual design, analyzing the architectural appearance, structural layout, materials, etc., to increase the feasibility and practicality of assisting conceptual design. It has certain reference significance for building a modern, advanced, international and interactive modern museum.

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.916-944
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• 2022

Artificial Intelligence has been a conceptual area for several decades. It has been studied extensively through experiments by the Information Systems community. When Information Systems supported with Information Technology became all pervasive in business and other allied areas, gradually the advancements in Artificial Intelligence also emerged as innovations across domains. Artificial Intelligence by definition is expected to substitute Human Intelligence, thereby making a huge space for innovation. In fact, all processes effected by human intelligence are liable to be replaced by AI which in itself is a massive innovation space. This paper will study the publication's repository (Scopus and Google Scholar from 1983 till 2021) in the area of Artificial Intelligence and innovation, then analyze the trend to gain insight into the evolution of AI as a vehicle for innovation.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.253-260
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• 2024

We studied to aim for exploring practical approaches to enhance the effectiveness of creativity education by using artificial intelligence and the metaverse in the field of media contents. Recognizing the need for educational innovation to adapt to the accelerating changes driven by the advancements in artificial intelligence and the metaverse, and considering the increasing importance of fostering creativity as a key competitive advantage for future talents, we focused on research implementing creativity education in the media contents domain. To achieve this, we conducted this study during a semester-long media contents course utilizing artificial intelligence and the metaverse in real classroom setting. We involved in this study collecting feedback and opinions from students to investigate and identify effective strategies for enhancing the impact of creativity education. As a result, we proposed the utility of media contents class using artificial intelligence and the metaverse in enhancing students' creativity. By elucidating which teaching methods are most effective, we contributed to derive beneficial outcomes for media contents creative education.

• Korean Journal of Radiology
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• v.25 no.4
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• pp.395-398
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• 2024

• Korean Journal of Radiology
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• v.24 no.9
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• pp.821-824
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• 2023

• Journal of Wetlands Research
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• v.22 no.1
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• pp.39-48
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• 2020

The main function of artificial wetlands and the largest proportion of the purpose of artificial wetlands created is water purification. The public's interest and demand for water quality increased after the Four major rivers project, and the need for water quality improvement is expected to increase further as the use of waterfront increased due to the improvement of quality of life. Most of the projects focus on only one purpose, and research on the effects of one function is also being analyzed, which undervalues the actual creation of artificial wetlands. Therefore, in order to calculate the comprehensive benefits of artificial wetlands, the effects of flood reduction and water quality improvement were analyzed in this study among the various effects of artificial wetlands along riversides, and the benefits were calculated accordingly. In other words, the effects of flood mitigation and water quality improvement were calculated by comparing the artificial wetlands before and after the construction of artificial wetlands, and the benefits of each of them were calculated.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.6
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• pp.1336-1347
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• 2013

The marine algal flora assemblages settled on the artificial seaweed reefs in Jeju-do before and after rocky cleaning were investigated during summer and the early succession of seaweeds attached to the test panels on the structures of the artificial reef after rocky cleaning were observed by visual observations and under the dissecting microscope in order to evaluate the effects of this rocky cleaning operation. Species composition and algal biomass on the Bboolsamgak-typed seaweed artificial reefs before and after rocky cleaning were measured and compared before and after rocky cleaning. Before rocky cleaning in July 2012, only nine algal species had existed on the Bboolsamgak-typed seaweed artificial reefs, however, twenty algal species occurred on the seaweed artificial reefs after rocky cleaning in July 2013. Particularly, 15 species among them in July 2013 were not found in July 2012 and they seemed to occur newly on the artificial reefs. A large quantity of algal biomass increased in July 2013 after rocky cleaning. Based on the importance value, there was a drastic change in the dominant species between July 2012 and July 2013 after rocky cleaning. By dissecting micrographs, an epiphytic diatom, Licmophora sp. and flagellates, were observed on the 9th day. A chlorophyte, Ulothrix flacca was observed after 14 days, Ulva pertusa, Bryopsis pulmosa, crustose coralline algae, and Cladophora spp. were after one month. After two months, a significant species succession was observed from three previous chlorophyte species to crustose coralline algae existed as a dominant species on the panels. In this study, however, any brown algae were not found until three months in the early seaweed succession. All above results indicates that the rocky cleaning is a very efficient method for the establishment of macroalgal assemblages on the artificial reefs.

• Journal of Welding and Joining
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• v.11 no.2
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• pp.27-41
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• 1993

The estimation of nugget sizes was attempted by utilizing the artificial neural networks method. Artificial neural networks is a highly simplified model of the biological nervous system. Artificial neural networks is composed of a large number of elemental processors connected like biological neurons. Although the elemental processors have only simple computation functions, because they are connected massively, they can describe any complex functional relationship between an input-output pair in an autonomous manner. The electrode head movement signal, which is a good indicator of corresponding nugget size was determined by measuring the each test specimen. The sampled electrode movement data and the corresponding nugget sizes were fed into the artificial neural networks as input-output pairs to train the networks. In the training phase for the networks, the artificial neural networks constructs a fuctional relationship between the input-output pairs autonomusly by adjusting the set of weights. In the production(estimation) phase when new inputs are sampled and presented, the artificial neural networks produces appropriate outputs(the estimates of the nugget size) based upon the transfer characteristics learned during the training mode. Experimental verification of the proposed estimation method using artificial neural networks was done by actual destructive testing of welds. The predicted result by the artifficial neural networks were found to be in a good agreement with the actual nugget size. The results are quite promising in that the real-time estimation of the invisible nugget size can be achieved by analyzing the process variable without any conventional destructive testing of welds.

• Journal of Sericultural and Entomological Science
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• v.17 no.2
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• pp.155-160
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• 1975

The study was carried out to investigate the effects of various compositions of artificial diet for silkworms on the cocoon shell fibroin-hydrolyzing with the proteolytic enzyme. The obtained results are summarized as follows： 1. It was found that the fibroin-hydrolyzing ratio of the cocoon shell made by silkworms fed with artificial diets was lower than that of the cocoon shell made by silkworms fed with natural diet (mulberry leaf) 2. The amount of soybean meal in the artificial diet was negatively related to the sericin content of cocoon shell but it scarcely affected on the fibroin-hydrolyzing ratio. 3. The increase of sucrose in the artificial diet reduced the sericin content of cocoon shell but it didn't influence on the fibroin-hydrolyzing ratio. 4. A significant difference between male and female silkworms fed with artificial diets was found in the sericin content of cocoon shell but it was not approved in tile fibroin-hydrolyzing ratio. 5. The artificial diet containing 8 per cent of mulberry leaf powder increased the fbroin-hydrolyzing ratio more than that containing 10 per cent of mulberry leaf powder or that containing 8 per cent of mulberry leaf powder and a little of methionine did. 6. The artificial diet for all instars of silkworms increased the fibroin-hydrolyzing ratio more than the artificial diet for 1st to 3rd instars and natural diet (mulberry leaf) for the rest instars did.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.4
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• pp.663-671
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• 2017

This study analyzed the determinants influencing competitiveness of artificial intelligence industry of Korea. Analysis showed that the factors having the greatest influence on the national competitiveness of the artificial intelligence industry were, in decreasing order of importance, R&D, capital, and ICT competitiveness. Given the capital-intensive characteristic of the artificial intelligence technology, it is important to enhance the national R&D capacity in artificial intelligence technology and ICT, and to make substantial investments in the establishment of related infrastructure. Considering that the development and utilization of ICT infrastructure serves as the basis for artificial intelligence technology, the high standards of Korean consumers are expected to have a positive catalytic effect on the acquisition of national competitiveness for the artificial intelligence industry. For companies to respond in a timely manner to the rapid dissemination and high impact of artificial intelligence technology, they must prepare for such advancements by improving their competencies.