• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4641-4657
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• 2017

Named Data Networking (NDN) has emerged and become one of the most promising architectures for future Internet. However, like traditional IP-based networking paradigm, NDN may not evade some typical network threats such as malicious data aggregates (MDA), which may lead to bandwidth exhaustion, traffic congestion and router overload. This paper firstly analyzes the damage effect of MDA using realistic simulations in large-scale network topology, showing that it is not just theoretical, and then designs a fine-grained MDA mitigation mechanism (MDAM) based on the cooperation between routers via alert messages. Simulations results show that MDAM can significantly reduce the Pending Interest Table overload in involved routers, and bring in normal data-returning rate and data-retrieval delay.

• Journal of Powder Materials
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• v.27 no.4
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• pp.339-342
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• 2020

Since the interaction between the second-phase particle and grain boundary was theoretically explained by Zener and Smith in the late 1940s, the interaction of the second-phase particle and grain boundary on the microstructure is commonly referred to as Zener pinning. It is known as one of the main mechanisms that can retard grain growth during heat treatment of metallic and ceramic polycrystalline systems. Computer simulation techniques have been applied to the study of microstructure changes since the 1980s, and accordingly, the second-phase particle-grain boundary interaction has been simulated by various simulation techniques, and further diverse developments have been made for more realistic and accurate simulations. In this study, we explore the existing development patterns and discuss future possible development directions.

• Elastomers and Composites
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• v.47 no.4
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• pp.347-354
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• 2012

There exist many merits in designing products and setting operational condition when computer aided engineering (CAE) is adopted in injection molding process. CAE also gives increasing efficient of molding, reducing developing time of product, and maintaining high quality products. Specially, it suggests design guidelines for new products and reducing wasting time to get steady state. Two and three dimensional computer simulations are available in injection molding and those results are somewhat different. However there are no guidelines for 2D and 3D computer simulations in using CAE in injection molding even though it is widely used in plastic industry. In this study, two and three dimensional computation results were compared for various part thickness, part shape, and number of finite element. Subsequently computational results were compared with experimental data such as pressure and temperature. The guidelines in two and three dimensional CAE analysis have been suggested through this study.

• Journal of IKEEE
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• v.28 no.2
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• pp.123-130
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• 2024

As technology advances swiftly and the lifespan of products becomes increasingly short, there is a demand to fasten the pace of research outcomes, product development, and market introduction. As a result, the researchers and developers need a computational experiment environment that enables rapid verification of the experiment and application of research findings. Such an environment must efficiently harness all available computational resources, manage simulations across diverse test scenarios, and support the experimental data collection. This research introduces the design and implementation of an experimental frame based on a microservice architecture. The experimental frame leverages scripts to utilize computing resources optimally, making it more straightforward for users to conduct simulations. It features an experimental frame capable of automatically deploying scenarios to the computing components. This setup allows for the automatic configuration of both the computing environment and experiments based on user-provided scenarios and experimental software, facilitating effortless execution of simulations.

• KIEAE Journal
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• v.7 no.5
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• pp.47-52
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• 2007

The high-rise apartment buildings have been constructed in large quantities to provide housing and used to be the popular residential types in Korea. However, it results that a number of problems are provoked such as the deteriorate of comfort and lack of sunshine access. Based on the judicial precedents, the sunshine access right should be guaranteed to enjoy uninterrupted sunlight for more than two hours continually between 9 am. and 3 pm or for more than four hours between 8 am and 4 pm in the winter solstice. The computer simulations are very strong tools to judge that the sunshine access right is infringed or not. This study aims to evaluate the efficiency of two computer simulation programs such as 3Dmax and Lightscape programs broadly used in field areas. For the study, the three dimensional computer models are suggested, and the simulations are performed on the 30 minutes intervals. Also, the simulation results are compared by the results of scaled model experiments.

• Bulletin of the Korean Chemical Society
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• v.21 no.2
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• pp.200-206
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• 2000

• Proceedings of the Korean Information Science Society Conference
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• 2007.06a
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• pp.212-213
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• 2007

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.113-122
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• 2024

In this paper, we conducted a thorough investigation of existing simulators for running simulations of Vehicular Adhoc Networks (VANET) in realistic road environments, such as digital twins. After careful consideration, we chose a simulator that combines OSM (OpenStreetMap), SUMO (Simulation of Urban MObility), and OMNeT++ due to its open-source nature and efficient performance. Using this integrated simulator, we carried out VANET simulations in both simple virtual road environments and realistic road environments. Our findings revealed significant differences in VANET performance between the two types of environments, emphasizing the need to consider realistic road and traffic environments for reliable VANET operation. Furthermore, our simulations demonstrated significant performance variability, with performance degradation observed as vehicle density decreased and dynamic changes in network topology increased. These results underscore the importance of digital twin-based approaches in VANET research, highlighting the need to simulate real-world road and traffic conditions rather than relying on simple virtual road environments.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.34-37
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• 2002

This paper presents a new stochastic binary neural network based on the Hopfield model. We apply the proposed network to TSP and compare it with other methods by computer simulations. Furthermore, we apply 2-opt to the proposed network to improve the performance.

• Proceedings of the Korean Geotechical Society Conference
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• 1998.05a
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• pp.83-114
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• 1998

The most widely accepted method for understanding the deformation mechanism of rock is from the use of computer simulation. However, if the changes in rock properties after excavation are significant this will prevent the computer simulation kent predicting the deformation with acceptable accuracy. If the deformations are, however, carefully measured in situ, the resulting data can be more useful far predicting the deformational behavior of underground openings, since the effect of the parameters which influence the deformational behavior are included in the measurement. In this study, extensive data analyses were carried out using the deformation measurements from the Waste Isolation Pilot Plant (WIPP), which is a permanent nuclear waste repository The results from computer simulations were compared with field measurements to evaluate the assumptions used in the computer simulations, For better description of the deformational behavior around underground excavations, several techniques were developed, namely: (a) the calculation of the zero strain boundary; (b) the evaluation of the influence of adjacent excavations on the deformational behavior of pre-excavated openings; (c) the description of the deformational behavior using in situ measurements; (d) the calculation of the shear stress distribution; and (e) the application of a Neural Network for the prediction of opening deformation.