• Journal of the Korean Society of Industry Convergence
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• v.22 no.2
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• pp.81-86
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• 2019

Although the localization rate of shipbuilding and marine equipment goods is set to be 70 percent by 2020, but the localization rate of equipment and materials for shipbuilding and marine facilities is currently 10 to 30 percent. For Korea's Big 3 shipbuilders, which build 70 percent of the world's largest shipbuilders, localization of shipbuilding equipment and equipment is an essential factor. In particular, there is a growing need to localize equipment and materials in terms of the number of lead standards and A/S. It is expected that there will be a rapid expansion of LNG carriers in the future, and it is necessary to develop equipment and equipment materials of LNG ships. In this study, the design and manufacture of LNG vessel equipment was conducted. Design and basic performance tests of 4-inch QCDC for LNG bunkering were conducted.

• Korean Journal of Clinical Pharmacy
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• v.30 no.4
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• pp.217-225
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• 2020

The fourth industrial revolution, with its characteristics of "hyper-connectivity", "hyper-intelligence" and "automation", is a hot topic worldwide. It will fundamentally change industry, economy, and business models through technological innovations, such as big data, cloud computing, Internet of Things (IoT), artificial intelligence (AI), and 3D printing. In particular, the development of highly advanced information technology (IT) and AI is expected to replace human roles, thereby changing employment and occupation prospects in the future. Based on this, some predict that the profession of the pharmacist will soon disappear. To counter this, pharmacists' attention and efforts are required to seek innovative transformations in their functions by responding sensitively and promptly to changes of the fourth industrial revolution. It is also necessary to recognize the new roles of pharmacists and to develop the competencies to perform them. The fourth industrial revolution is an inevitable change of the times. At this time, we should take comprehensive and open perspectives on how the future society will change economically, culturally, and socially, and use it as an opportunity to shape the new future of pharmacists.

• Journal of information and communication convergence engineering
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• v.20 no.4
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• pp.303-308
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• 2022

Simulating the heat transfer in a composite material is an important topic in material science. Difficulties arise from the fact that adjacent materials cannot match perfectly, resulting in discontinuity in the temperature variables. Although there have been several numerical methods for solving the heat-transfer problem in imperfect contact conditions, the methods known so far are complicated to implement, and the computational times are non-negligible. In this study, we developed a ResNet-type deep neural network for simulating a heat transfer model in a composite material. To train the neural network, we generated datasets by numerically solving the heat-transfer equations with Kapitza thermal resistance conditions. Because datasets involve various configurations of composite materials, our neural networks are robust to the shapes of material-material interfaces. Our algorithm can predict the thermal behavior in real time once the networks are trained. The performance of the proposed neural networks is documented, where the root mean square error (RMSE) and mean absolute error (MAE) are below 2.47E-6, and 7.00E-4, respectively.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.87-98
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• 2020

Recently, IoT, artificial intelligence, cloud, big data, and mobile fields have converged, leading to a new industrial era called the 4th industrial revolution. This 4th industrial revolution has been expanded to all industry area and Software has been taken as important role in this revolution. Thus Software Safety is the huge factor because Software is highly relevant to human safety in accordance with Software expansion. However this Software Safety has been focused on not organization improvement activities but current design/development, In this paper, to solve this issue, Software Safety Maturity level and relevant Process Area is defined. This study is expected to contribute to systematic software safety activities.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.4-4
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• 2020

Three wildfires severely damaged local towns and forests in Gangwon-do, South Korea in 2019 April 4-5. Local hydrological regime could be greatly altered by the wildfires, therefore it is important to assess its damage (e.g. area and severity) and also resultant changes in hydrological fluxes. We retrieved the Normalized-Burned Ratio (NBR) index using remote-sensing data (Moderate Resolution Imaging Spectroradiometer (MODIS) 500-m 8-day surface reflectance data), and delineated the damaged-area based on the difference in the NBR (dNBR) before and after the wildfires. We then estimated changes in the annual evapotranspiration (AET) in 2019 using the MODIS evapotranspiration data (500-m 8-day). It was found that the damaged-area of the three wildfires was 29.50 km^2 in total, which take up 1.00-6.19% area of five catchments. It was estimated that the AET would be decreased as 0.05-1.56% over those five catchments, as compared to the pre-fire AET (2004-2018). The impact of the wildfires on the catchment AET was less severe than expected (i.e. up to 1.56%) mostly because two big wildfires were distributed across two catchments respectively (i.e. four catchments for the two wildfires) and the other wildfire was small and not severe. This study highlights the importance of assessing the area and severity of a wildfire when estimating its impact on the local hydrological cycle.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.73-79
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• 2024

The smart tourism chatbot service provide smart tourism services to users easily and conveniently along with the smart tourism app. In this paper, the tourism information QA (Question Answering) service is proposed based on the task-oriented smart tourism chatbot system [13]. The tourism information QA service is an MRC (Machine reading comprehension)-based QA system that finds answers in context and provides them to users. The tourism information QA system consists of NER (Named Entity Recognition), DST (Dialogue State Tracking), Neo4J graph DB, and QA servers. We propose tourism information QA service uses the tourism information NER model and DST model to identify the intent of the user's question and retrieves appropriate context for the answer from the Neo4J tourism knowledgebase. The QA model finds answers from the context and provides them to users through the smart tourism app. We develop the tourism information QA model by transfer learning the bigBird model, which can process the context of 4,096 tokens, using the tourism information QA dataset.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.35-42
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• 2019

This study was conducted to identify the determing factors of the success and constraints based on the perception of public officials preparing for the Fourth Industrial Revolution(4IR) and the collaboration among ministries. The analytic method performed an average value analysis based on the survey of public officials' awareness, and the results of the study are as follows. First, officials from nine ministries who are responsible for the 4IR recognized that they were regarded that the 4IR as a new opportunity, but if it failed to respond properly, there might be a crisis. Second, it recognizes the era of 4IR as the number one priority in big data, second in artificial intelligence and machine learning, and third in cloud computing technology. Third, they recognized that 'flexibility of the institutions' and 'recruitment of experts' were needed to prepare for the 4IR effectively.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.4
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• pp.97-109
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• 2014

The purpose of this study is, as to verify the effect of IR announcements, the IR activity to look at the usefulness. In previous study, they found that the IR announcement leads to reductions in information asymmetry, effect to positive stock price. This study examine the abnormal returns between group by corporate characteristics. The data used in this study are daily stock market returns taken from the KOSDAQ listed company with IR announcements during the 2005-2012 year(8 year). We find that follows. First, the capital market is accepted IR activity as the positive information. Second, abnormal returns of small company is higher than big size that. We show the difference of abnormal returns between the venture company and general company, the venture company's high. The abnormal returns of corporate with high ownership is above the group of low ownership. Additionally, consider interaction by firm characteristics, we show the interaction between firm size and business type. The result of two-way ANOVA is that venture corporate with big size are more abnormal returns than others. Also, we demonstrate that firm location is the factor of difference on information effect in venture firm.

• Progress in Medical Physics
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• v.21 no.1
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• pp.120-125
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• 2010

For the measurements of an absorbed dose using the standard dosimetry based on an absorbed dose to water the variety of factors, whether big, small, or tiny, may influence the accuracy of dosimetry. The beam quality correction factor ${\kappa}_{Q,Q_0}$ of an ionization chamber might also be one of them. The cylindrical type of ionization chamber, the PTW30013 chamber, was chosen for this work and 9 chambers of the same type were collected from several institutes where the chamber types are used for the reference dosimetry. They were calibrated from the domestic Secondary Standard Dosimetry Laboratory with the same electrometer and cable. These calibrated chambers were used to measure absorbed doses to water in the reference condition for the photon beam of 6 MV and 10 MV and the electron beam of 12 MeV from Siemens ONCOR. The biggest difference among chambers amounts to 2.4% for the 6 MV photon beam, 0.8% for the 10 MV photon beam, and 2.4% for the 12 MeV electron beam. The big deviation in the photon of 6 MV demonstrates that if there had been no problems with the process of measurements application of the same ${\kappa}_{Q,Q_0}$ to the chambers used in this study might have influenced the deviation in the photon 6 MV and that how important an external audit is.

• Korean Journal of Agricultural and Forest Meteorology
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• v.4 no.4
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• pp.248-253
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• 2002

This study was to provide information about snow falling phenomenon in Korea for 1934 years from BC 6 to 1928 based on the records of old literatures, which are the true record of the Chosun dynasty, records of king Kojong and Soonjong, and some data including history of the Koryo in internet home page of Korea meteorological administration. Key words used in search procedure were totally 20 words such as snow, heavy snow, big snow, snow pellets, snowstorm, avalanche, etc. The searching contents consisted of the time of the first and the last snow, the amount of snow falling, snow damage, the thought about heavy snow phenomenon, and unusual weather conditions related to snow. The earliest record for the first snow was July of the rural calendar in 733 and the latest record for the last snow was June 11 of the lunar calendar. From these records, it could be estimated that there were some snow falling even in summer season. The amount of almost heavy snow ranged from 1.2 m to 1.5 m, but sometimes there were some records about the amount of snow falling higher than 3 meters. It was also found that there were three records about big heavy snow damages. In 1524 and 1525, approximately 100 and 140 peoples in Kyungsung, Hamgyung Province were dead due to heavy snowstorm. It was also recorded that 91 people in Jeiu island were dead in 1670 because of snow damage. Some singular records about snow were also found in old literatures. There was a congratulatory ceremony of new snow when the first snow was falling in the year. There was also a ritual praying for snow when there was no snow in the year. It was also found that there was snow falling with worms and red snow falling.