• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.6
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• pp.367-376
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• 2022

In this study, a steady and unsteady aerodynamic analysis program using a 3-dimensional subsonic unstructured panel method is developed and verified. Surfaces of bodies are modeled with the source and doublet distributions on triangular or quadrilateral panels. Geometry modeling of complex geometries and multi-body, therefore, can be easily accomplished. The Kelvin theory and the unsteady Kutta condition allow the doublet strength of the wake panels determined for unsteady flows. Various steady and unsteady flows in two and three dimensions are computed and compared with the analytical and the published computational results.

• The Journal of Bigdata
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• v.6 no.2
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• pp.169-179
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• 2021

Consumers' food consumption behavior is likely to be affected not only by structured data such as consumer panel data but also by unstructured data such as mass media and social media. In this study, a deep learning-based consumption prediction model is generated and verified for the fusion data set linking structured data and unstructured data related to food consumption. The results of the study showed that model accuracy was improved when combining structured data and unstructured data. In addition, unstructured data were found to improve model predictability. As a result of using the SHAP technique to identify the importance of variables, it was found that variables related to blog and video data were on the top list and had a positive correlation with the amount of paprika purchased. In addition, according to the experimental results, it was confirmed that the machine learning model showed higher accuracy than the deep learning model and could be an efficient alternative to the existing time series analysis modeling.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.18 no.1
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• pp.33-38
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• 2010

Developments of numerical methods are very important to design and analysis for a high subsonic turbine blade. In general, Analysis by experimental investigation has needed a lot of human resources and required time, indispensably, and equipments still have a limit to measure in conditions of high temperature. Rapid technological developments of CPU and integration level of memory make it possible to advance computation with almost exactly simulation so, recent developments of numerical methods are in spotlight. In the present study, the panel method, which is well-known as relatively simplified numerical method, and 2-dimensional ordinary differential Falkner-Skan equation were computed in order to analyze the outer flow, and FVM-based solid heat transfer equation, was also computed to forecast the temperature distribution of the airfoil and the turbine blade. Unstructured grid was constructed in the turbine blade, which has double cooling holes, in order to analyze the internal heat transfer. Cooling fluid was assumed as fully-developed turbulent flow and that circulated in cooling holes.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.719-723
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• 1997

The welding automation in ship manufacturing process,especially in the sub-assembly line is considered to be a difficult job because the welding part is too huge, various, unstructured for a welding robot to weld fully automatically. The weld orocess at the sub-assembly line for ship manufacturing is to joint the various stiffener on the base panel. In order to realize automatic robot weld in sub-assembly line, robot have to equip with the sensing system to recognize the position of the parts. In this research,we developed a vision system to detect the position of base panle for sub-assembly line is shipbuilding process. The vision system is composed of one CCD camera attached on the base of robot, 2-500W halogen lamps for active illumination. In the image processing algorithm,the base panel is represented by two set of lines located at its two corner through hough transform. However, the various noise line caused by highlight,scratches and stiffener,roller in conveyor, and so on is contained in the captured image, this nosie can be eliminated by region segmentation and threshold in hough transform domain. The matching process to recognize the position of weld panel is executed by finding patterns in the Hough transformed domain. The sets of experiments performed in the sub-assembly line show the effectiveness of the proposed algorithm.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.154-155
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• 2021

Appearance finish is important for amorphous buildings to maximize amorphousness, and GFRC, glass, and metal are mostly used as exterior materials for amorphous buildings currently applied. However, the existing exterior materials showed limitations in amorphous expression, texture, and color expression. In this study, a 3D stereoscopic panel mold was manufactured using the FDM method, one of the 3D printing technologies, and 3D stereoscopic panel production was reviewed using Ultra High Performance Concrete (UHPC), which has excellent physical and mechanical performance and expression. In order to overcome the limitations of unstructured expression, a UHPC 3D stereoscopic panel using the FDM method, one of the 3D printing technologies, was manufactured. Unlike steel molds, FRP molds, and EPS molds, the FDM method can be applied to various materials, and complex shapes are implemented. If it is used using recyclable materials as well as PLA filaments used in the FDM method, it will overcome the limitations of amorphous expression and activate the production of 3D stereoscopic panels that have secured eco-friendliness.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.516-519
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• 1996

Sub-assembly in ship manufacturing is a sequence of filet joint welding of stiffeners on metal panels and the process is different depending on companies. In this paper, we introduce a new intelligent robotic system of the sub-assembly process in Samsung Heavy Industry, where one shift of 22m * 9m workspace includes one to ten panels and each panel includes up to 10 stiffeners. The inherent problems such as several hundreds of different panels, unstructured task environment and the large scale do not allow a fixed automation, but needs highly intelligent versatile automation. The robotic system is composed of four 14DOF macro-mini robots and a task recognition system. Application of this system has verified the task specification such as low temperature environment(-10.deg. C) and productivity is satisfied successfully.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.761-768
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• 2020

This paper explores the barriers to derivative accounting disclosures in Vietnamese companies and ranks their relative importance for effective and efficient remedies. The Delphi technique was applied to get agreement of panel of experts on the measurement of factors hindering disclosure. Unstructured questionnaires were first sent to twelve experts who had both practical experience and academic knowledge in the field to get ideas on the obstructions to derivatives disclosure. The structured questionnaire was designed to get their agreement on barriers to derivative accounting disclosures. The data analysis with mean, median, mode, standard deviation, and quartile has been implemented to ensure the unanimity. Market-related factors, legislation, accountants' attributes, managers' attributes, information technology and communication, and on-site training were the six major obstacles agreed upon by the experts during their in-depth interviews. Then, these factors were ranked by applying the analytical hierarchy process (AHP). The findings confirmed the priority of information technology and communication, which held the greatest weight. Legislation ranked second, followed by market-related factors and on-site training, which explained the impediments to derivatives disclosure. Managers' and accountants' attributes had the least contribution to the barriers to derivative disclosures. The results have important implications for actions to enhance corporate derivative disclosures in Vietnam.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.39-48
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• 2022

This research aims to investigate the application of Keynes's theory in Indonesia, particularly in solving unemployment and poverty problems through government spending, economic growth, and human resource capacity. The basic concepts of the Keynesian theory were used as a method, through which government spending was harnessed toward economic growth in reducing unemployment and poverty rate. The analytical materials used were panel data for the 2017-2021 period in Central Java, Indonesia. The analytical methodology used was a multiple regression experimental design in selecting the best model according to Keynes's theory, especially for overcoming formidable problems. The main results showed that large Government spending program is ineffective in encouraging pro-growth, pro-job, pro-poor, and pro-equity development policy strategies. The causes of this failure include the violation of Keynes' assumptions about rationality and the low quality of education investment, which do not encourage productive and innovative entrepreneurship, as well as self-employment opportunities. As a result, government spending, including subsidies and direct financial assistance, used to implement the macroeconomic monetary, unstructured, and fiscal policy system is insufficient to significantly reduce the enormous difficulties. The main research results confirm that human capital capacity is the key to mitigating and reducing unemployment and poverty.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.30-37
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• 2018

The social media data and the broadcasting data related to onion as well as agri-food consumer panel data were collected and investigated if the amount of money spent to purchase onion in year 2014 when onion price plunged latest were correlated with the frequencies of onion-related keywords in the social media data and the broadcasting programs because onion price in year 2018 is expected to plunge due to overproduction and there has been needs to analyze impacts of social media and broadcasting program on onion purchase in the previous similar events, and identify potential factors that can promote onion consumption in advance. What we identified from our study include a) broadcasting news programs mentioning words "onion," were correlated with onion purchase with 3 - 6 weeks in advance; b) broadcasting entertainment programs mentioning words "onion and health," were correlated with onion purchase with 11 weeks in advance; c) blog mentioning words "onion and efficacy," were correlated with onion purchase with 5 weeks in advance. Our study provided a case on how social media and broadcasting programs could be analyzed for their effects on consumer purchase behavior using big data collection and analysis in the field of agriculture. We propose to use the findings from the study may be applied to promote onion consumption.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.170-184
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• 2010

As Korean cuisine is one of our cultural assets and has global potential, it needs to be better marketed and known to the world. However, there is a lack of research examining what to and how to globalize Korean cuisine practically. Therefore, the purpose of this study is to suggest fundamental reasons and ways to globalize Korean cuisine from a multicultural point of view. A Delphi method was selected because the study is suitable for a structured group of experts instead of unstructured groups or individuals. A panel of experts were selected from two groups, Korean experts and international experts. This research established the characteristics of Korean foods, the difficulties of Korean cooking methods and the incorporation or substitution of Western ingredients in two rounds. A panel of experts suggested strategies for globalizing Korean cuisine in the third round. As a result, meaningful solutions were suggested such as increasing the global profile and knowledge of Korean cuisine from 18 experts out of 23, developing various cooking methods for Korean-cuisine having distinctively Korean characteristics from 17 experts out of 23, developing recipes that are compatible with equipment and appliances in a western kitchen, and considering the differences in taste and texture(mouth-feeling) between Korean and the Western people.