• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.433-447
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• 2024

This study analyzes the impact of core competencies of technology innovation startups-namely technological development capability, organizational management capability, and digital transformation capability-on financial performance through the mediation of innovativeness. Previous research has focused on the non-financial performance of startups, with a lack of studies examining financial performance, which is a crucial indicator of actual business success. Therefore, an online survey was conducted targeting domestic technology innovation startups, and data from 213 responses were used for the final analysis. The results of the structural equation modeling indicated that technological development capability, organizational management capability, and digital transformation capability positively influence innovativeness. Additionally, higher levels of innovativeness were associated with improved financial performance, and innovativeness was found to play a significant mediating role between core competencies and financial performance. These findings suggest which competencies technology innovation startups should focus on to achieve financial goals.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.12
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• pp.1912-1917
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• 2015

Pancreatic lipase is a potential therapeutic target for the treatment of diet-induced obesity in humans. As part of our continuing search for novel bioactive compounds, the convenient enzymatic transformation of caffeic acid into neolignans as well as related oxidized-products enhanced pancreatic lipase inhibitory activity. Enzymatic transformation of caffeic acid (1) using polyphenol oxidase originating from Korean pear yielded four oxidized metabolites, which were identified by different spectroscopic techniques ($^1H$,$^{13}C$ NMR, DEP/T, $^1H-^1H$ COSY, HMBC, HMQC, and NOESY). The anti-obesity efficacy of caffeic acid reactant was tested by in vitro porcine pancreatic lipase assay. All tested samples showed dose-dependent pancreatic lipase inhibitory activities. Four oxidative products including phellinsin A (2), caffeicinic acid (3), isocaffeicinic acid (4), and 7,8-erythro-caffeicin (5) were isolated and identified. The major metabolites (2~5) were evaluated for their pancreatic lipase inhibitory activity, and oxidized-products (2~3) improved potency against pancreatic lipase when compared to original caffeic acid. This result suggested that the neolignans isolated from oxidative transformation of caffeic acid might be beneficial in the treatment of obesity and relevant diseases, and the convenient enzymatic transformation by polyphenol oxidase may be a valuable method for structural modification and enhancement of activity.

• Journal of Technology Innovation
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• v.28 no.4
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• pp.151-163
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• 2020

The routinized tasks in the post-COVID era are to be replaced by digital technologies, while there is a high possibility that digital transformation technologies and non-routinized tasks have strong complementarity. In particular, looking at the job composition within Korea's industries, the intensities of routinized works appear to be continuously rising. It suggests that the potential side effects on the labor market caused by the acceleration of digital transformation in the post-COVID era will be greater within Korean innovation system. With this background, this study aims to provide a conceptual framework for dealing with potential crises such as, job polarization and widening gaps between workers in terms of economic earnings, based on an in-depth understanding of the inherent properties of digital transformation that will lead to structural changes in our economic and social system. In particular, focusing on the interaction between digital transformation technology and learning in the post-COVID era, this study attempts to redefine the role of the innovation policy for making a successful transition to a new equilibrium state. In addition, this study examines the institutional conditions of the Korean innovation system which affect the creative learning activities of economic actors to draw policy implications for establishing future-oriented innovation policy. Based on these approaches, this study highlights the importance of coevolution between the skills demand and skills supply to spur inclusiveness of Korean innovation system in the post-COVID era.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.5
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• pp.93-101
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• 2016

In this study, the governing equations of motion for multi-cracked nonuniform nanobeam based on nonlocal elasticity theory and embedded in an elastic medium were derived. DTM(differential transformation method) was applied to vibration analysis of multi-cracked nonuniform nanobeam based on nonlocal elasticity theory and embedded in an elastic medium. The non-dimensional natural frequencies of this nanobeam were obtained for eoe, crack stiffness and elastic medium stiffness with various boundary conditions. The results obtained by this method was compared with previous works and showed the close agreement between two methods. The important conclusions obtained by this study are as follows : 1. As the length of nanobeam is shorter, the effect of scale coefficient is greater. 2. The locations of crack change non-dimensional natural frequency, In the case of fixed-fixed ends, the non-dimensional natural frequency is the biggest in the first crack location of 0.6L of nanobeam length, and the smallest in both ends. In the case of fixed-free ends, the closer the location of first crack go tho the free end, the bigger the non-dimensional natural frequency. 3. As the stiffness of crack is greater, the non-dimensional natural frequency is smaller, And the effect of crack stiffness is similar on both fixed-free ends and fixed-fixed ends. 4. The bigger the stiffness of elastic medium, the greater the non - dimensional natural frequency.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.4
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• pp.265-272
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• 2023

This paper presents a conceptual strategy and technologies for the digital transformation of design and construction of reinforced concrete (RC) structures. The development of an automated detail design strategy for RC structures is described. Integrated digital platform based on 5D BIM concept is proposed for the replacement of the current technology environment-based 2D CAD. Generally, the detail design development is labor-intensive and iterative. Effective automation of relevant aspects can dramatically improve productivity and accuracy. The proposed solutions for the automated BIM modeling based on the rebar and formwork detail design automation achieves the productivity and accuracy sufficient for site application. The platform integrates and manages the information flow between each solution or application and provides it to all participants of the project. Finally, it is expected that the proposed strategy and technologies can be further enhanced to achieve the productivity and accuracy needed for widespread site application and digital transformation.

• Korean Journal of Mineralogy and Petrology
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• v.37 no.2
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• pp.47-57
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• 2024

Jarosite, a mineral belonging to the alunite family, is found in various low pH environments and can incorporate cations or oxyanions into its structure, either by coprecipitation or substitution. This mineral is sensitive to pH changes and can easily transform into goethite upon geochemical changes, such as an increase in pH. This transformation can release toxic ions from the jarosite, potentially causing additional environmental damage. In addition to potassium (K), sodium (Na) and ammonium (NH₄) can also substitute for cations in jarosite. The formation of jarosites containing these and other cations is significant not only for acid mine drainage but also for the smelting industry. In this study, three different types of jarosites containing various cations were synthesized and the phase transformation of each jarosite to goethite upon pH change were compared. All the jarosites were sensitive to pH changes, showing much higher rates of phase change at pH 8 than at pH 4. At the relatively low pH of 4, the phase transformation of K-jarosite, which is most stable in structure, to goethite was the slowest. For the other two jarosites, the cations have either smaller or larger radii than K ions, resulting in differences in structural stability and they showed more rapid transformations to goethite. However, at pH 8, K-jarosite exhibited a much more rapid transformation to goethite than the other jarosites, which was also evident from the rapid increase in K ions in aqueous solution. The mineral transformation behavior of K-jarosite at higher pH is significantly different from that at lower pH, indicating that the mechanism of the transformation to goethite differs between these conditions, which requires further investigation. The results of this study indicate that the mineral transformation of jarosite in acid mine drainage or smelter waste disposal may significantly influence the behavior of heavy metals. This research provides valuable insights for predicting the behavior of heavy metals in smelting industry waste disposal.

• Computational Structural Engineering
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• v.7 no.1
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• pp.109-116
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• 1994

In this paper, various reliability analysis methods for calculating a probability of failure are investigated for their accuracy and efficiency. Crude Monte Carlo method is used as a basis for the comparison of various numerical results. For the sampling methods, Importance Sampling method and Directional Simulation method are considered for overcoming a drawback of Crude Monte Carlo method. For the approximate methods, conventional Rackwitz-Fiessler method. 3-parameter Chen-Lind method, and Rosenblatt transformation method are compared on the basis of First order reliability method. As a Second-order reliability method, Curvature-Fitting paraboloid method, Point-fitting paraboloid method, and Log-likelihood function method are explored in order to verify the accuracy of the reliability calculation results. These methods mentioned above would have some difficulty unless the limit state equation is expressed explicitly in terms of random design variables. Thus, there is a need to develop some general reliability methods for the case where an implicit limit state equation is given. For this purpose, Response surface method is used where the limit state equation is approximated by regression analysis of the response surface outcomes resulted from the structural analysis. From the application of these various reliability methods to three examples, it is found that Directional Simulation method and Response Surface method are very efficient and recommendable for the general reliability analysis problem cases.

• Economic and Environmental Geology
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• v.53 no.4
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• pp.425-440
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• 2020

The study area is located in the southern part of the M'aider Paleozoic basin in the Moroccan Eastern Anti-Atlas. It is an arid region, characterized by minimal vegetation cover, which can provide an ideal environment to apply remote sensing. In this study, remote sensing and field investigations were integrated for lithological and structural lineaments mapping. The Landsat 8 OLI data were processed in order to understand the role of lithology and geological structures in the distribution of mineral deposits in the study area. To achieve this purpose, the Color Composite (CC), the Principal Component Analysis (PCA) and Band Rationing transformation (BR) tests were performed. The results of remote sensing techniques coupled with field investigations have shown that the zones of high lineaments densities are highly correlated with the occurrences of barite mineralization. These findings depict a spatial relationship between structural lineaments and the mineralization distribution zones. Therefore, the barite and Iron oxides mineralization veins, which occur mainly in the Ras Kammouna district, seem to have a structural control. The methodological approach used in this study examining lithological mapping and lineament extractions can be used to explore mineral deposits in arid regions to a high degree of efficiency.

• Smart Structures and Systems
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• v.26 no.3
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• pp.373-390
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• 2020

Hybrid simulation (HS) is a versatile tool for structural performance evaluation under dynamic loads. Although real structural responses are often multiple-directional owing to an eccentric mass/stiffness of the structure and/or excitations not along structural major axes, few HS in this field takes into account structural responses in multiple directions. Multi-directional loading is more challenging than uni-directional loading as there is a nonlinear transformation between actuator and specimen coordinate systems, increasing the difficulty of suppressing loading error. Moreover, redundant actuators may exist in multi-directional hybrid simulations of large-scale structures, which requires the loading strategy to contain ineffective loading of multiple actuators. To address these issues, lately a new strategy was conceived for accurate reproduction of desired displacements in bi-directional hybrid simulations (BHS), which is characterized in two features, i.e., iterative displacement command updating based on the Jacobian matrix considering nonlinear geometric relationships, and force-based control for compensating ineffective forces of redundant actuators. This paper performs performance validation and application of this new mixed loading strategy. In particular, virtual BHS considering linear and nonlinear specimen models, and the diversity of actuator properties were carried out. A validation test was implemented with a steel frame specimen. A real application of this strategy to BHS on a full-scale 2-story frame specimen was performed. Studies showed that this strategy exhibited excellent tracking performance for the measured displacements of the control point and remarkable compensation for ineffective forces of the redundant actuator. This strategy was demonstrated to be capable of accurately and effectively reproducing the desired displacements in large-scale BHS.

• Journal of Magnetics
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• v.21 no.2
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• pp.215-221
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• 2016

We conducted a phased electromagnetic forming process analysis (EFPA) over time through a coupling of electromagnetic analysis and structural analysis. The analysis is conducted through a direct linkage between electromagnetic analysis and structural analysis. The analysis process is repeated until the electric current is completely discharged by a formed coil. We calculate the forming force that affects the workpiece using MAXWELL, a commercial electromagnetic finite element analysis program. Then, we simulate plastic behavior by using the calculated forming force data as the forming force input to ANSYS, a commercial structure finite element analysis program. We calculate the forming force data by using the model shape in MAXWELL, a commercial electromagnetic finite element analysis program. We repeat the process until the current is fully discharged by the formed coil. Our results can be used to reduce the error in data transformation with a reduced number of data transformations, because the proposed approach directly links the electromagnetic analysis and the structural analysis after removing the step of the numerical analysis of a graph describing the forming force, unlike the existing electromagnetic forming process. Second, it is possible to simulate a more realistic forming force by keeping a certain distance between nodes using the re-mesh function during the repeated analysis until the current is completely discharged by the formed coil, based on the MAXWELL results. We compare and review the results of the EFPA using the peak value of the forming force that acts on the workpiece (which is the existing analysis method), and the proposed phased EFPA over time approach.