• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.196-202
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• 2020

This study explores conceptions of learning management and examines the effects on study approach and critical thinking. Undergraduates majoring or minoring in management were gathered through convenient sampling and participated in the online survey. A total of 88 responses were analyzed. The results reveal that there is no significant gender or grade difference on conceptions of learning management. Conceptions of "test" and "seeing in a new way" are associated with deep study approach, whereas conceptions of 'test' is associated with surface study approach. Conceptions of "seeing in a new way" has a significant effect on critical thinking. The findings may inform redesign of instruction or curriculum especially focusing on improving high-quality thinking skills as the learning outcomes.

• The Journal of Information Systems
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• v.29 no.3
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• pp.197-214
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• 2020

Purpose This study examines the influence of product development competence and IT competence on new product development (NPD) performance in the context of Korean companies. To achieve this goal, this study presents and empirically tests a model of how NPD competence and IT competence can be exploited to positively influence NPD performance through convergence capabilities. Design/methodology/approach The NPD competence are based on the research construct developed by Zhang et al. (2013). IT competence is based on the research construct developed by Lu and Ramamurthy(2011) and the NPD performance are based on the performance construct developed by Sivadas and Dwyer (2000). To complete the investigation, we conducted a survey from Korean 1000 big companies, which enrolled in Korean stock market. Randomly contacted 171 Korean companies, including firms of all sizes and types. To test our hypotheses, structured equation model (SEM) with partial least squares (PLS) method was employed. Findings The findings indicate that NPD competence and IT competence are antecedent to convergence capabilities, while IT competence is higher influence than NPD competence. Also, convergence capabilities has very significant relationship with NPD performance. This study provides a better understanding of the relationship between NPD competence, IT competence, convergence capabilities, and NPD performance. So companies should focus on improving NPD and IT competence on NPD performance through convergence capabilities.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.25 no.6
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• pp.486-491
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• 2016

Disturbance/vibration reduction is critical in many applications using machine vision. The off-focusing or blurring error caused by vibration degrades the machine performance. In line with this, real-time disturbance estimation and avoidance are proposed in this study instead of going with a more familiar approach, such as the vibration absorber. The instantaneous motion caused by the disturbance is sensed by an attitude heading reference system module. A periodic vibration modeling is conducted to provide a better performance. The algorithm for vibration avoidance is described according to the vibration modeling. The vibration occurrence function is also proposed, and its parameters are determined using the genetic algorithm. The proposed algorithm is experimentally tested for its effectiveness in the vision inspection system.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2004.03a
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• pp.15-25
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• 2004

This paper outlines a new convergence acceleration de-signed to solve scramjet flowfields with zones of re-circulation. Named the “marching-window”, the algorithm consists of performing pseudo-time iterations on a minimal width subdomain composed of a sequence of cross-stream planes of nodes. The upstream boundary of the subdomain is positioned such that all nodes upstream exhibit a residual smaller than the user-specified convergence threshold. The advancement of the downstream boundary follows the advancement of the upstream boundary, except in zones of significant streamwise ellipticity where a streamwise ellipticity sensor ensures its continuous progress. Compared to the standard pseudo-time marching approach, the march-ing-window is here seen to decrease the work required for convergence by up to 24 times for supersonic flows with little streamwise ellipticity and by up to 8 times for supersonic flows with large streamwise separated regions. The memory requirements are observed to be reduced sixfold by not allocating memory to the nodes not included in the computational subdomain. The marching-window satisfies the same convergence criterion as the standard pseudo-time stepping methods, hence resulting in the same converged solution within the tolerance of the user-specified convergence threshold. The extension of the marching-window to the weakly-ionized Navier-Stokes equations is also discussed.

• Journal of Korea Technology Innovation Society
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• v.11 no.4
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• pp.592-612
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• 2008

The convergence of technology as a major breakthrough in technology innovation has been generated and developed. With the advent of the 21st century characterized by the knowledge-based economy, it is happening even more frequently and vigorously than ever. However, study on classification system or definition of notions is necessary as the convergence of technology is still in the early stage. The existing classification system has limited application to the convergence of technology. With no standard available for the classification of the technology convergence, there has been much concern for duplicative R&D investment. On this ground, a new and reformed classification system for the convergence of technology and definition of notions are needed. Previous studies regard base technologies used in the technology convergence and new convergence technologies as important. However, this paper views convergence of technology as a dynamic phenomenon and puts an emphasis on the cause of technology convergence, not on the new technology itself and examines whether base technologies go back to their original state after the completion of technology convergence. This kind of approach will classify technology convergence by characteristics. Although more researches including quantitative analysis are necessary, this paper expects to offer help with further researches on classification system.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.31-37
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• 2019

In this paper, we propose an approach to get the requirement of drone acquisition for the efficient dronebot combat system using brute force algorithm. We define parameters, such as width, depth, and important surveillance area for the surveillance mission in the Army battalion and company units based on real military operation environment and brute force algorithm with 4 steps including first, next, valid, output is applied to get the requirement of drone acquisition and each drone's path planning using computer simulation. As a result, we could get the requirement of drone acquisition and each drone's path planning, the Army could utilize our proposed approach in the Army dronebot combat system. In the future research, we will study on the reliability of our proposed approach to get the requirement of drone acquisition for the efficient dronebot combat system.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2C
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• pp.81-90
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• 2009

In this study the behavior of a steel pipe structure used as an auxiliary method was evaluated by the convergence-confinement method and load-transfer approach, and the result was compared with that of numerical approach and in-situ measured data. As calculated partially increased displacement of the installed pipe to obtain the tunnel displacement. A numerical analysis simulate well the general behavior of measured displacement of tunnel crown. Through this study, it was found that the proposed procedure produces conservative result so that it can be applied in preliminary design of the auxiliary method of tunnel face.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.125-143
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• 2013

This paper intends to explore the social and cultural implications of convergence media, based on Goffman's situational approach. The situational segregation of regions makes us to re-interpret the current private and public spheres and helps us to reveal the principle and structure hidden in the new middle region. An environment of convergence media is nullifying the separation of private and public spheres, while letting a new middle region appear.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.4 no.1
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• pp.26-31
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• 2018

Macrophages play a key role in atherosclerotic plaque formation, but their participation has been discerned largely via ex vivo analyses of atherosclerotic lesions. Therefore, we aimed to identify atherosclerosis on noninvasive in vivo imaging using reporter gene system. This study demonstrated that recruitment of macrophages could be detected in atherosclerotic plaques of Apolipoprotein E knockout (ApoE-/-) mice with a sodium iodide symporter (NIS) gene imaging system using $^{99m}Tc-SPECT$. This novel approach to tracking macrophages to atherosclerotic plaques in vivo could have applications in studies of arteriosclerotic vascular disease.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.1
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• pp.21-28
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• 2005

This paper proposes a new method for accelerating the search speed of genetic algorithms by taking derivative evaluation and conditional random selection into account in their evolution process. Derivative evaluation makes genetic algorithms focus on the individuals whose fitness is rapidly increased. This accelerates the search speed of genetic algorithms by enhancing exploitation like steepest descent methods but also increases the possibility of a premature convergence that means most individuals after a few generations approach to local optima. On the other hand, derivative evaluation under a premature convergence helps genetic algorithms escape the local optima by enhancing exploration. If GAs fall into a premature convergence, random selection is used in order to help escaping local optimum, but its effects are not large. We experimented our method with one combinatorial problem and five complex function optimization problems. Experimental results showed that our method was superior to the simple genetic algorithm especially when the search space is large.